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Iacobini, Mauro, and Gaetano Lisi. "Prezzi edonici delle caratteristiche abitative e analisi di regressione multipla: suggerimenti pratici per la stima." RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, no. 2 (October 2016): 5–42. http://dx.doi.org/10.3280/rest2016-002001.
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Tartaglia Polcini, Paolo, Natalia Aversano, Giuseppe Nicolò, and Nadia Ardito. "La diversità di genere nella direzione strategica delle aziende sanitarie: il rapporto tra governance e performance nelle aziende ospedaliere italiane." MECOSAN, no. 120 (February 2022): 21–43. http://dx.doi.org/10.3280/mesa2021-120003.
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Negli ultimi decenni, istituzioni e policymakers a livello europeo hanno profuso notevoli sforzi volti a promuovere la parita di genere nelle posizioni di leadership gestionale e strategica, sia in ambito politico sia in ambito economico. Il presente studio, inquadrato nell'approccio teorico della Resource Dependence Theory, analizza l'associazione tra la presenza di donne in posizione di vertice e performance finanziaria nel contesto delle aziende sanitarie italiane. A tal fine, sono state condotte due analisi di regressione multipla attraverso le quali e stata analizzata l'influenza esercitata dalla presenza delle donne nelle posizioni di vertice di un campione di 49 aziende sanitarie italiane sulla performance finanziaria, misurata come Return on Assets (ROA). In linea con i precedenti studi, i risultati delle analisi condotte evidenziano come una maggiore presenza delle donne nelle posizioni di maggior responsabilita a livello gestionale abbia una ricaduta positiva in termini di performance operativa ed economica delle aziende sanitarie oggetto di analisi. La presente ricerca conferma che le donne possono rappresentare una fondamentale leva di cambiamento di management e governance delle aziende sanitarie. Alla luce di cio, i risultati del presente studio potrebbero rappresentare un incentivo per il varo di politiche piu specifiche che favoriscano l'incremento della gender diversity nello specifico comparto delle aziende sanitarie che da anni soffrono di inefficienze sia a livello manageriale sia di governance.
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Mahieu, R., G. Colletti, P. Bonomo, G. Parrinello, A. Iavarone, G. Dolivet, L. Livi, and A. Deganello. "Head and neck reconstruction with pedicled flaps in the free flap era." Acta Otorhinolaryngologica Italica 36, no. 6 (December 2016): 459–68. http://dx.doi.org/10.14639/0392-100x-1153.
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La trasposizione di lembi liberi microvascolari rappresenta oggi la procedura maggiormente diffusa nelle ricostruzioni del distretto testacollo. Tuttavia, non tutti i pazienti sono candidati ideali per ricostruzioni microvascolari, né tutti i difetti richiedono necessariamente lembi microvascolari per ottenere buoni risultati funzionali. Lo scopo di questo studio è quello di valutare se la ricostruzione di difetti del distretto testa-collo mediante lembi peduncolati sia inferiore alle ricostruzioni microvascolari in termini di complicanze, outcome funzionale e prognosi. In una coorte di pazienti consecutivi che sono stati sottoposti a resezione maggiore per carcinomi del distretto testa collo, abbiamo confrontato i dati delle ricostruzioni mediante lembi peduncolati con quelli delle ricostruzioni microvascolari. Tutti gli interventi sono stati eseguiti da un unico chirurgo dal 2006 al 2015. Sono stati inclusi un totale di 93 pazienti, la maggior parte dei quali affetti da carcinoma del cavo orale (n = 59), di cui 64 hanno subito ricostruzione tramite lembo peduncolato (69%). Nei due gruppi non si sono registrate differenze significative in termini di necrosi del lembo, complicanze ed outcome funzionale. Lanalisi multivariata ha mostrato che le comorbidità preoperatorie rappresentano lunico fattore significativo per il rischio di complicanze nella guarigione del lembo (p = 0,019). Nei due gruppi lanalisi di sopravvivenza e lanalisi di regressione proporzionale al rischio di recidiva di malattia o metastasi a distanza non hanno mostrato differenze significative. In questo studio retrospettivo di coorte, non randomizzato, i lembi peduncolati non sono risultati significativamente inferiori rispetto ai lembi liberi in termini complicanze, outcome e prognosi.
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Croveti, A., F. Sirtori, C. Aquilani, O. Franci, and R. Bozzi. "Capacità predittiva della tecnologia FT-NIRs della composizione chimica di prodotti stagionati di suino." Archivos de Zootecnia 67, Supplement (January 15, 2018): 151–54. http://dx.doi.org/10.21071/az.v67isupplement.3593.
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Le tradizionali analisi chimiche dei prodotti stagionati richiedono tempo e sono costose e spesso distruttive. La spettroscopia NIRs ha il vantaggio di essere di rapida esecuzione, semplice, poco costosa ed ha la capacità di determinare un grande numero di parametri simultaneamente su un grande numero di campioni. Lo scopo di questo lavoro è quello di stimare la capacità predittiva della tecnologia FT-NIRs della composizione chimica di prodotti stagionati di suino. Sono stati campionati duecentodue prodotti stagionati (43 "Cuore di spalla", 26 Prosciutto Toscano e 33 "Capocollo) e sono state determinate le seguenti componenti chimiche: proteina, grasso intramuscolare, ceneri e composizione degli acidi grassi. Gli spettri NIR sono stati acquisiti usando uno strumento Thermo-Fisher Antaris II. I modelli di calibrazione e validazione sono stati sviluppati usando una regressione PLS (partial least squares); i modelli sono stati validati usando il metodo “leave-one-out". I modelli di calibrazione e validazione sono stati sviluppati sia per ognuno dei prodotti singolarmente sia unendo tutti i campioni in un unico dataset. I coefficienti di correlazione in calibrazione mostrano valori soddisfacenti (minimo R2=0.73), mentre i coefficienti di correlazione in validazione, sebbene siano generalmente accettabili, mostrano valori più bassi (minimo R2=0.42). Il migliore valori di R2 sono stati trovati per il contenuto in grasso (R2= 0.95 in validazione). I risultati, anche se ottenuti su un numero ridotto di campioni, mostrano che la tecnologia FT-NIRs potrebbe essere usata in analisi di routine di prodotti stagionati di suino.
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Martini, Angela. "Istruzione e diseguaglianze sociali nel Veneto." ECONOMIA E SOCIETÀ REGIONALE, no. 1 (June 2020): 60–78. http://dx.doi.org/10.3280/es2020-001004.
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Il presente lavoro analizza l'effetto dell'indice di status socio-economico-culturale (Escs) dello studente sui risultati delle prove Invalsi di Italiano, Matematica e Inglese degli alunni veneti che hanno frequentato nel 2018-19 la quinta classe della scuola primaria, la terza classe della scuola secondaria inferiore e le classi seconda e quinta della scuola secondaria superiore. A tal fine una serie di analisi di regressione è stata effettuata sia tenendo conto del solo indice Escs come variabile indipendente sia controllando per altre variabili degli studenti che incidono sulle prestazioni nelle prove standardizzate di apprendimento, come il genere, la nazionalità, ecc. L'effetto dell'Escs diminuisce quando si tiene conto anche di queste variabili. Inoltre, più che l'Escs individuale dello studente, a pesare sui risultati delle prove è il contesto sociale della classe in cui è inserito, misurato dall'Escs medio degli alunni che la frequentano.
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Rabaglietti, Emanuela, Maria Fernanda Vacirca, and Silvia Ciairano. "Il tempo virtuale nello sviluppo degli adolescenti: opportunitŕ o rifugio?" PSICOLOGIA DELLA SALUTE, no. 1 (May 2011): 67–82. http://dx.doi.org/10.3280/pds2011-001006.
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I giovani trascorrono parte del loro tempo quotidiano esplorando lo spazio virtuale offerto dalle nuove tecnologie, soprattutto il computer, utilizzato per studio o per svago. Attraverso questo studio condotto su 189 adolescenti di ambo i sessi, con un'etŕ media di 16 anni e frequentanti la scuola media di secondo grado, ci proponiamo di: 1) descrivere il tempo giornaliero da essi dedicato all'uso del computer per studio e per svago, le relazioni tra questi due comportamenti e le differenze di genere, fascia d'etŕ e tipo di scuola; 2) indagare nei due generi le relazioni fra tempo dedicato all'uso del computer per studio e per svago e: a) senso di alienazione e percezione positiva di sé; b) soddisfazione per l'esperienza scolastica e autoefficacia scolastica; c) autoefficacia sociale e regolatoria; d) popolaritŕ nel contesto scolastico. I risultati (frequenze, correlazioni, medie, analisi della varianza fattoriale, analisi di regressione gerarchica) evidenziano che per gli adolescenti, soprattutto maschi e studenti di istituti tecnici e professionali, il computer per studio e per svago č un compagno con cui trascorrere parte del tempo quotidiano. Inoltre, le due attivitŕ al computer, formativa e di svago, sono molto legate. Infine, nei maschi emergono relazioni tra bassa popolaritŕ e maggiore uso di computer per studio e tra bassa percezione di sé e maggiore uso di computer per svago; nelle ragazze la bassa soddisfazione per i risultati scolastici si associa ad un maggiore uso del computer per studio.
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Penzo, Ilaria, Enrichetta Giannetti, Cristina Stefanile, and Saulo Sirigatti. "Stili umoristici e possibili relazioni con il benessere psicologico secondo una versione italiana dello Humor Styles Questionnaire (HSQ)." PSICOLOGIA DELLA SALUTE, no. 2 (July 2011): 33–50. http://dx.doi.org/10.3280/pds2011-002004.
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Sono state esaminate, nel contesto italiano, la struttura fattoriale e alcune caratteristiche psicometriche dello HSQ di Martin(2003), nonché le differenze di genere nei diversi stili umoristici e le loro relazioni con il benessere psicologico. Hanno partecipato 242 studenti di scuola media secondaria e di universitŕ. Sono state impiegate le versioni italiane dello HSQ e delle(RPWB). Partendo da correlazioni policoriche, č stata effettuata un'analisi fattoriale esplorativa utilizzando il metodo(ML) per l'estrazione dei fattori e ilper la loro rotazione obliqua. Analisi discriminanti e di regressione lineare multiple sono state condotte per esaminare le relazioni tra le variabili. Sono stati individuati i quattro fattori ipotizzati, anche se non tutti gli item risultano adeguatamente rappresentati; l'affidabilitŕ delle scale, fatta eccezione per una, č adeguata. I partecipanti maschili riferiscono un maggiore uso dello stile. Sono emerse relazioni positive tra gli stiliee negative traee il benessere psicologico. Ulteriori indagini sono richieste per approfondire la natura multifattoriale dello HSQ e le relazioni tra stili di umorismo e benessere psicologico.
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Giampieri, Emanuela, Alessandra Ratti, Alessandra Beretta, Cinzia Mattavelli, Elena Ferrarini, Carlo Pruneri, and Italo Carta. "Determinants of hospitalization from psychiatric E.R. from S. Gerardo hospital in Monza: epidemiological cross-sectional study." Epidemiology and Psychiatric Sciences 11, no. 4 (December 2002): 266–76. http://dx.doi.org/10.1017/s1121189x00005844.
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RIASSUNTOScopo – Individuare i fattori predittivi di ricovero in pazienti che giungono presso il Pronto Soccorso con problem psichiatrici. Disegno – Studio epidemiologico trasversale condotto presso il Pronto Soccorso dell'Ospedale S. Gerardo di Monza, tra il 1 giugno 1995 ed il 31 maggio 1997. Sono stati inclusi tutti i soggetti di età maggiore di 18 anni per i quali sia stata richiesta una valutazione psichiatrica. E' stato sondato il peso di variabili socio-demografiche, di variabili cliniche e di variabili di servizio sulla decisione di ricovero. Principali misure utilizzate – I dati sono stati raccolti mediante una scheda appositamente costruita, compilata dal medico di guardia al momento della visita. I dati sono stati analizzati tramite analisi univariata e regressione logistica. Risultati – Sono stati raccolti dati inerenti 2076 casi. All'analisi univariata la probabilita di ricovero è risultata più elevata per soggetti tra i 39 ed i 48 anni, celibi o nubili, disoccupati, affetti da schizofrenia, da disturbi deH'umore o da disturbi di personalità. Il ricovero è più probabile in proporzione alia gravità, all'ideazione suicidiaria ed a precedenti ricoveri. Tra i sintomi troviamo che l'ansia protegge dal ricovero laddove allucinazioni, delirio, assenza di critica di malattia, blocco psicomotorio, agitazione psicomotoria, stato confusionale, crisi pantoclastiche, bizzarrie comportamentali, alterazioni dello stato di coscienza e precedenti ricoveri incrementano la probabilità di ospedalizzazione. Il lunedì ed il venerdì sono i giorni a più alta frequenza di ricoveri. La regressione logistica conferma il ruolo predittivo di età, sintomi, aggressività, gravità ed ideazione suicidiaria, e dei giorni della settimana tra le variabili di servizio. Conclusione – Tra i fattori predittivi di ricovero in SPDC le variabili cliniche mantengono un ruolo predominante, rispetto a fattori socio-demografici. Accanto a queste, tuttavia, si nota un peso rilevante deH'organizzazione del servizio con un aumento del tasso di ricoveri proprio nei giorni a cavallo del fine settimana, quando i servizi territoriali chiudono.
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Fioritti, Angelo, Elisa Ferriani, Paola Rucci, Vittorio Melega, Cristina Venco, Anna Rosa Scaramelli, and Fabio Santarini. "Predicting length of stay in Italian Psychiatric Forensic Hospitals: a survival analysis." Epidemiologia e Psichiatria Sociale 10, no. 2 (June 2001): 125–34. http://dx.doi.org/10.1017/s1121189x00005200.
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RIASSUNTOL'internamento in Ospedale Psichiatrico Giudiziario (OPG) costituisce un allontanamento dai circuiti assistenziali psichiatrici del Servizio Sanitario Nazionale e la sua durata può influire negativamente sulle possibilità di reinserimento nel territorio di provenienza. Metodo – I fattori predittivi della durata di degenza in OPG sono stati indagati mediante una analisi di sopravvivenza condotta su una coorte di 118 pazienti degenti nei tre OPG del Centro-Nord al 30.06.97, provenienti da tre Regioni (Emilia Romagna, Toscana, Friuli Venezia Giulia), prendendo in esame le dimissioni effettuate nei 18 mesi successivi. Risultati – Da analisi di sopravvivenza condotte sui singoli fattori sono emersi, come predittori di durata di internamento, il reato commesso (omicidio: tempo mediano di permanenza 706.6 settimane, rispetto alle 307.1 e 194.7 dei reati minori e delle lesioni; log-rank =31.8, p<0.001), la durata preventivata della misura di sicurezza (RR=0.98, CI 95% 0.97-0.99, p<0.001); la diagnosi di schizofrenia (621.9 settimane rispetto alle 389.9 settimane o meno delle altre diagnosi; log-rank = 5.83, p<0.01); i disturbi del pensiero alia BPRS (RR=0.89, CI 98% 0.81-0.98, p<0.01); OPG di internamento (314.6 settimane a Montelupo Fiorentino rispetto alle 706.6 di Reggio Emilia e alle 621.9 di Castiglione delle Stiviere; log-rank = 9.64, df=2, p<0.001). In un modello di regressione di Cox a più covariate solo il tipo di reato, la durata della misura di sicurezza e la diagnosi sono risultati significativi. Conclusioni – I fattori inerenti il sistema giudiziario sono determinanti nel predire la durata della degenza. La diagnosi di schizofrenia sembra aver un ruolo indipendente nel predire una degenza più lunga
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Tesi, Alessio, and Antonio Aiello. "La valutazione del benessere organizzativo: lo "Strumento Integrato per la Valutazione del Benessere Organizzativo (SIVBO)" nel framework teorico del modello "Job Demands-Resources"." PSICOLOGIA DELLA SALUTE, no. 2 (June 2021): 139–57. http://dx.doi.org/10.3280/pds2021-002009.
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Il presente studio ha l'obiettivo di fornire evidenze circa la validità psicometrica dello "Strumento Integrato per la Valutazione del Benessere Organizzativo (SIVBO)". Facendo rife-rimento al modello teorico job demands-resources (JD-R, Demerouti et al., 2001) lo strumen-to ha l'obiettivo di misurare il benessere organizzativo. I partecipanti allo studio (N = 754), provenienti da diversi contesti lavorativi, hanno risposto ad un questionario autodescrittivo contenente il SIVBO e altre scale di misura. L'analisi fattoriale esplorativa ha messo in eviden-za una soluzione fattoriale composta di un totale di 18 item, con quattro dimensioni denomina-te: richieste lavorative, risorse lavorative, risorse lavorative relazionali e risorse personali. L'analisi fattoriale confermativa ha comprovato che il modello a quattro fattori, con un fattore sovraordinato di secondo ordine, denominato benessere organizzativo, è quello che presenta un miglior adattamento ai dati. Gli indici di coerenza interna (alfa di Cronbach, rho di Spear-man e composite reliability) dello strumento sono risultati adeguati. Le analisi di correlazione e regressione hanno messo in evidenza che le scale del SIVBO risultano significativamente as-sociate a misure concorrenti e discriminanti. Il SIVBO si presenta come uno strumento dotato di proprietà psicometriche adeguate che, considerando anche la sua brevità, si candida a essere applicato agevolmente per la misurazione del benessere organizzativo in molteplici contesti lavorativi.
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Gallo, Eugenio, and Paola Rucci. "Supply, demand and predictive factors of psychotherapies in 10 community mental health services in Emilia Romagna." Epidemiologia e Psichiatria Sociale 9, no. 2 (June 2000): 103–12. http://dx.doi.org/10.1017/s1121189x00008290.
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RIASSUNTOScopo - La ricerca si propone di determinare la domanda e l'offerta di psicoterapia in 10 Centri di Salute Mentale della Regione Emilia Romagna e di identificare i fattori che predicono l'inizio della psicoterapia, impiegando i dati raccolti di routine con il Sistema Informativo Psichiatrico della Emilia Romagna (SIPER). Disegno - Studio prospettico longitudinale su tutti i «nuovi» utenti del 1995 seguiti per un anno dal primo contatto. Analisi univariata (rischio relativo) e multivariata (regressione logistica) di 18 variabili cliniche ed extracliniche. Setting - 10 Centri di Salute Mentale della Emilia Romagna. Risultati - La percentuale dei nuovi utenti che intraprende una psicoterapia è stata del 11.5%, corrispondente ad una incidenza annuale di 5./10000 abitanti ≥18 anni (range 0.9-14.8 tra i Centri). La domanda di psicoterapia è stata del 16.1% (range tra 0.6-33%) includendo le richieste dei pazienti e dei committenti. I fattori predittivi dell'inizio di una psicoterapia sono stati: la presenza dello psicologo nel primo incontro, la richiesta del paziente di psicoterapia, l'età < di 48 anni, una scolarità elevata, essere studenti, vivere con la famiglia d'origine, il Centro a cui ci si rivolti, una diagnosi del raggruppamento diagnostico delle «nevrosi». Ma l'analisi multivariata non ha permesso d'individuare un modello predittivo sufficientemente sensibile. Conclusioni - L'imprevedibilità dell'impiego della psicoterapia sembra dovuta alia mancanza di una chiara scelta sull'uso della psicoterapia nei CSM, come testimonia, in particolare, l'estrema variabilità dell'offerta, e alia mancanza di definite indicazioni.
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ALMADORI, G., M. RIGANTE, F. BUSSU, C. PARRILLA, R. GALLUS, L. BARONE ADESI, J. GALLI, G. PALUDETTI, and M. SALGARELLO. "L’impatto della ricostruzione mediante lembo microvascolare nei tumori del cavo orale: la nostra esperienza su 130 casi." Acta Otorhinolaryngologica Italica 35, no. 6 (December 2015): 386–93. http://dx.doi.org/10.14639/0392-100x-919.
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Obiettivo del presente studio è stato valutare i risultati oncologici della nostra casistica di pazienti affetti da tumore del cavo orale trattati mediante chirurgia compartimentale radicale seguita da ricostruzione mediante lembo microvascolare. Abbiamo condotto un’analisi retrospettiva su 130 casi. Tutti i pazienti sono stati sottoposti ad una resezione chirurgica della neoformazione seguita da una ricostruzione immediata mediante lembo libero e, quando necessario, in accordo con la valutazione espressa dal nostro tumor board e con le linee guida internazionali, ad un trattamento chemioradioterapico adjuvante. Le curve di sopravvivenza specifica per malattia (DSS) sono state ottenute mediante il metodo di Kaplan-Meier. Il test Long Rank e il Wilcoxon sono stati utilizzati per investigare i più importanti fattori influenzanti la sopravvivenza specifica per malattia a 5 anni. Per calcolare l’HR e il RR per le singole variabili è stato utilizzato un modello di Cox. L’88,5% dei pazienti è risultato affetto da una neoplasia a istologia squamocellulare. Il campione è risultato essere composto da 46 (35,4%) donne e 84 (64,6%) uomini con un età media di 58,5 anni. Al termine del periodo di follow up, 36 pazienti (27,7%) erano deceduti, 3 dei quali per altre cause. Il DSS è stato del 67,8% (S.E. = 4,9%). All’analisi univariata secondo Kaplan-Meier ed alla analisi multivariata con regressione di Cox sono state individuate sette differenti variabili aventi una relazione significativa con il DSS: T (p = 0,026) ed N (p = 0,0001), lo staging clinico (UICC TNM Sixth Edition) (p = 0,007), i margini di resezione (p = 0,001), l’extracapsular spread (p = 0.005), la recidiva di malattia (p = 0,00002) e la modalità di trattamento (sola chirurgia o chirurgia + RT/CHT) (p = 0,004). In nostri risultati sono risultati in linea con le osservazioni in letteratura, e ci permettono di sottolineare come la chirurgia ricostruttiva mediante lembo libero microvascolare possa incrementare la sopravvivenza nei pazienti con tumore del cavo orale.
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Kelvin, Kelvin, Jepri Banjarnahor, Evta Indra -, and Marlince NK Nababan. "Analisis perbandingan sentimen Corona Virus Disease-2019 (Covid19) pada Twitter Menggunakan Metode Logistic Regression Dan Support Vector Machine (SVM)." Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) 5, no. 2 (February 8, 2022): 47–52. http://dx.doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2365.
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Melihat perkembangan twitter tersebut maka twitter menjadi salah satu media yang dapat digunakan untuk melakukan analisis sentimen terhadap bebagai topik. Penelitian ini melakukan suatu analisis sentimen terhadap bahasan yang saat ini sering menjadi trending topic di twitter yaitu “CoronaVirus Disease-2019 (covid19)”. Penyebaran virus ini juga langsung dibicarakan oleh banyak kalangan masyarakat twitter, saat ini virus corona tengah menjadi perhatian dunia internasional. Banyaknya jumlah angka korban dan cepatnya penularan virus membuat masyarakat khawatir dan muncul berbagai opini tentang virus corona, Opini inilah yang kemudian di analisa untuk diketahui polaritasnya dengan analisis sentimen. Metode yang digunakan adalah Logistic Regression dan Support Vector Machine (SVM) dimana SVM memiliki nilai akurasi 91,15% dalam data test sedangkan metode Logistic Regression mendapatkan nilai akurasi sebanyak 87,68% dalam data test.
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Anjani, Septi Rostika, Dwidjono Hadi Darwanto, and Jangkung Handoyo Mulyo. "ANALISIS PERMINTAAN KEDELAI DI INDONESIA." SEPA: Jurnal Sosial Ekonomi Pertanian dan Agribisnis 12, no. 1 (September 5, 2017): 42. http://dx.doi.org/10.20961/sepa.v12i1.14198.
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This study aims to analyze the factors that influence the demand of soybean in Indonesia. The research method uses descriptive analysis of secondary data which includes the price of imported soybeans, the price of chicken, per capita income, the rate of inflation and import tariff policy year period 1980-2013 which sourced from FAO and other sources. Estimation of demand function using multiple linear regression analysis were transformed in the form of natural logarithm. Regression analysis showed that soybean demand in Indonesia was influenced partially by prices of chicken, per capita income, and the rate of inflation. The price elasticity of demand of soybean in Indonesia is inelastic, that is equal 0,22. While the income elasticity of demand for soybeans is positive which means that soy is a staple item for the Indonesian people.
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SIHMAWATI, NI WAYAN DIAH, I. WAYAN SUMARJAYA, and MADE SUSILAWATI. "ANALISIS ANGKA KEMATIAN NEONATAL DI PROVINSI BALI DENGAN PENDEKATAN ANALISIS REGRESI." E-Jurnal Matematika 7, no. 3 (September 2, 2018): 246. http://dx.doi.org/10.24843/mtk.2018.v07.i03.p210.
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Neonatal mortality rate (NMR) is the number of infant death up to 28 days expressed in 1,000 live births in the same year. The aim of this research is to obtain the best model for NMR in Bali and to find significant factors that influence NMR in Bali using multiple linear regression and spatial regression methods. The data used in this study was obtained from the Health Departement in each district in Bali.The result shows that there is no spatial dependence between regions and no interregional heterogeneity. This suggests that spatial regression is not applicable in this study. Hence, we model the NMR using multiple linear regression. Furthermore, we obtained the estimated NMR model in Bali is . In conclusion, the factors that influence the NMR are the percentage of babies with low weight and percentage of households with a clean and healthy living behavior.
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Dimas Sanjaya, Bayu, Syamsurijal A Kadir, and Fachrizal Bahri. "Analisis Kemiskinan di Kota Pagar Alam." Jurnal Ekonomi Pembangunan 16, no. 2 (July 4, 2019): 81–93. http://dx.doi.org/10.29259/jep.v16i2.8888.
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This study aimed to analyze the influence of education level of head of family, number of dependents and asset of head of family on poverty in District of South Pagaralam and North Pagaralam. The data is used in this study are primary data obtained through research directly to the society in November 2016. The method used is a quantitative approach by applying multiple regression models. Based on the research and data processing using multiple regression analysis that education and asset of heads of family have a significant effect on poverty. Meanwhile, head of family number of dependents do not have a significant effect on poverty.
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Mu'tashim, Muhammad Labib, Toni Muhayat, Sekar Ayu Damayanti, Hanan Nadia Zaki, and Rio Wirawan. "Analisis Prediksi Harga Rumah Sesuai Spesifikasi Menggunakan Multiple Linear Regression." Informatik : Jurnal Ilmu Komputer 17, no. 3 (December 31, 2021): 238. http://dx.doi.org/10.52958/iftk.v17i3.3635.
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Harga rumah khususnya di kawasan ibukota DKI Jakarta merupakan suatu wadah sebagai investasi bagi para pencari rumah jaman sekarang. Setiap rumah yang ada di wilayah DKI Jakarta khususnya di Jakarta Selatan yang sesuai dengan penelitian yang akan kami lakukan, memiliki spesifikasi yang berbeda baik dari harga, luas, dan jumlah ruangan yang terdapat di rumah tersebut. Sehingga, terjadinya persaingan harga diantara agen-agen properti. Selain itu harga rumah setiap tahun akan semakin mahal, sehingga dibutuhkan analisis serta pemilihan yang tepat yang harus dilakukan untuk membeli sebuah rumah. Dengan menggunakan algoritma regresi dengan menggunakan faktor-faktor dari harga rumah, luas bangunan, luas tanah, ruang kamar tidur, garasi, dan kota. Sehingga, hasil penelitian yang kami dapatkan dengan menggunakan algoritma regresi dengan nilai akurasi sebesar 66%. Demikian dari hasil penelitian kami ditemukan bahwa harga rumah mengalami peningkatan. Diharapkan semoga penelitian ini berguna bagi para pembeli ataupun agen properti dalam melakukan prediksi penjualan rumah.
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Mulya, Muhammad Rizky, Haryadi Haryadi, and Rahma Nurjanah. "Analisis determinan impor beras di Indonesia." e-Journal Perdagangan Industri dan Moneter 8, no. 3 (December 14, 2020): 135–42. http://dx.doi.org/10.22437/pim.v8i3.13091.
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This study aims to determine and analyze the development of a gross domestic product, population, rupiah exchange rate, inflation, and rice imports. In addition, to choose and investigate the effect of gross domestic product, people, rupiah exchange rate, inflation, and rice imports. The method used to analyze this research is descriptive quantitative. This study uses multiple linear regression analysis based on Ordinary Least Square (OLS). Based on the results of this study, the development of rice imports fluctuates every year. It tends to increase rice imports, gross domestic product fluctuates and tends to grow, the population increases every year, the rupiah exchange rate fluctuates, and inflation fluctuates every year and tends to decrease. The results of multiple linear regression show that the variables of gross domestic product, population, and exchange rate significantly affect rice imports in Indonesia. In contrast, the inflation variable is not substantial on rice imports in Indonesia. Keywords: Import rice, GDP, Total population, Exchange rate, Inflation.
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Oksamulya, Aufa, and Ali Anis. "ANALISIS DETERMINAN KETIMPANGAN PENDAPATAN DI INDONESIA." Jurnal Kajian Ekonomi dan Pembangunan 2, no. 1 (July 10, 2020): 141. http://dx.doi.org/10.24036/jkep.v2i1.8871.
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The purpose of this research is to analyze the effect of education, foreign direct investment (FDI), and migration to income inequality in Indonesia. Using secondary data in the form of panel regression in 32 Indonesian provinces from 2014-2018 (sourced from the Central Statistics Agency). The independent variables in this test are Education (X1), Foreign Direct Investment (FDI) (X2), and migration (X3). Data is processed by panel data analysis, there are several tests on inductive analysis, namely: (1) Panel Regression Model (2) Classical Assumption Test (3) t test (4) f test. From the tests that have been done, the results show (1) that there is a significant and negative influence between education and income inequality in Indonesia. (2) there is no significant and negative influence between Foreign Direct Investment (FDI) and income inequality in Indonesia. (3) there is a significant and positive influence between migration and income inequality in Indonesia. Partially there is a significant influence between all independent variables namely education, foreign direct investment (FDI) and migration to income inequality in Indonesia at α = 5%.
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Oksamulya, Aufa, and Ali Anis. "Analisis Determinan Ketimpangan Pendapatan di Indonesia." Jurnal Kajian Ekonomi dan Pembangunan 2, no. 2 (June 1, 2020): 19. http://dx.doi.org/10.24036/jkep.v2i2.12637.
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The purpose of this research is to analyze the effect of education, foreign direct investment (FDI), and migration to income inequality in Indonesia. Using secondary data in the form of panel regression in 32 Indonesian provinces from 2014-2018 (sourced from the Central Statistics Agency). The independent variables in this test are Education (X1), Foreign Direct Investment (FDI) (X2), and migration (X3). Data is processed by panel data analysis, there are several tests on inductive analysis, namely: (1) Panel Regression Model (2) Classical Assumption Test (3) t test (4) f test. From the tests that have been done, the results show (1) that there is a significant and negative influence between education and income inequality in Indonesia. (2) there is no significant and negative influence between Foreign Direct Investment (FDI) and income inequality in Indonesia. (3) there is a significant and positive influence between migration and income inequality in Indonesia. Partially there is a significant influence between all independent variables namely education, foreign direct investment (FDI) and migration to income inequality in Indonesia at α = 5%.
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Halid, Amir, Amelia Murtisari, and Aguswanto Aguswanto. "Pengaruh Permintaan Masyarakat terhadap Pasokan Gula Pasir di Kota Gorontalo." Jurnal Perspektif Pembiayaan dan Pembangunan Daerah 2, no. 2 (December 19, 2014): 87–92. http://dx.doi.org/10.22437/ppd.v2i2.2260.
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Abstrak Penelitian ini bertujuan untuk menganalisis permintaan dan pasokan gula pasir di Kota Gorontalo serta pengaruh permintaan konsumen terhadap pasokan gula pasir di Kota Gorontalo. Data yang digunakan adalah data sekunder bulanan selama Tahun 2012. Data diperoleh dari kantor dinas perindustrian, perdagangan, koperasi Kota Gorontalo dan BPS. Analis data yang digunakan yaitu analisis deskriptif dan regresi linier sederhana. Berdasarkan analisis regresi memperlihatkan bahwa terdapat pengaruh positif yang signifikan antara permintaan masyarakat terhadap gula pasir terhadap pasokan gula pasir di Kota Gorontalo.. Kata kunci : Pasokan, Gula Pasir, Permintaan, Konsumen. Abstract This study aims to analyze the demands and supply of sugar in Gorontalo city and to analyze the effect of consumer demand for the supply of sugar in the city of Gorontalo. The data used are secondary data monthly during 2012. Data were obtained from the offices of industry, trade, cooperatives and BPS Gorontalo city. Analysts data used are descriptive analysis and simple linear regression. Based on regression analysis showed that there is a significant positive effect between public demand for sugar to supply sugar in Gorontalo City. Keywords: Supply, Sugar, Demand, Consumer
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Febrianti, Endah, Budi Susetyo, and Pika Silvianti. "Pemodelan Tingkat Kriminalitas di Indonesia Menggunakan Analisis Geographically Weighted Panel Regression." Xplore: Journal of Statistics 12, no. 1 (January 15, 2023): 91–109. http://dx.doi.org/10.29244/xplore.v12i1.950.
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Kriminalitas merupakan salah satu masalah sosial ekonomi yang sampai saat ini belum terselesaikan di Indonesia. Meski Indonesia masuk kategori negara yang aman dikunjungi, kenyataannya masih banyak masyarakat Indonesia yang mengalami tindak kriminalitas. Penyelesaian masalah sosial ekonomi ini menjadi sangat penting karena menyangkut keamanan dan kenyamanan masyarakat. Penelitian ini bertujuan mengidentifikasi faktor-faktor yang memengaruhi tingkat kriminalitas di Indonesia dan menentukan model terbaik dari setiap provinsi dengan membandingkan antara model regresi data panel dan model Geographically Weighted Panel Regression (GWPR). Data penelitian ini terdiri atas 34 provinsi di Indonesia dari tahun 2016 sampai 2020. Analisis yang digunakan adalah analisis regresi data panel dan GWPR. Hasil analisis menunjukkan model adaptive kernel gaussian GWPR merupakan model terbaik dengan sebesar 69,89% dan AIC sebesar 167,4585. Pemodelan GWPR menghasilkan persamaan model dan peubah berpengaruh signifikan untuk setiap provinsi. Secara umum terdapat lima peubah yang berpengaruh signifikan terhadap tingkat kriminalitas, yaitu persentase penduduk miskin, tingkat pengangguran terbuka, Produk Domestik Regional Bruto atas dasar harga konstan per kapita, indeks pembangunan manusia, dan rata-rata lama sekolah.
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Pramoedyo, Henny, Ni Wayan Surya Wardhani, Eka Saraswati, and Ria Rosilawati. "Spatial Analysis and Multiple Regression Approach for Determining Soil Organic Material in Sampang Regency." Natural-B 1, no. 1 (April 1, 2011): 27–34. http://dx.doi.org/10.21776/ub.natural-b.2011.001.01.4.
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Adhitya, Bagus. "Analisis Determinan Cadangan Devisa di Indonesia." Jurnal Ilmiah Universitas Batanghari Jambi 21, no. 1 (February 8, 2021): 184. http://dx.doi.org/10.33087/jiubj.v21i1.1237.
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This study aims to analyze the effect of exports, imports and inflation rates on foreign exchange reserves in Indonesia. This type of research is quantitative. This research method uses multiple linear regression with the Ordinary Least Square model. The results showed that exports had a positive and significant effect on foreign exchange reserves in Indonesia at 2011-2018. Imports have a negative and significant effect on foreign exchange reserves in Indonesia at 2011-2018. The inflation rate has no positive effect on foreign exchange reserves in Indonesia in 2011-2018. This finding implies that the government must increase exports abroad to suppress imports of foreign products.
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Sari, Linda Ratna. "ANALISIS TERHADAP DETERMINAN SPREAD SUKU BUNGA BANK UMUM DI INDONESIA PERIODE 2009-2013." Jurnal Ekonomi Pembangunan 13, no. 1 (October 25, 2016): 21. http://dx.doi.org/10.22219/jep.v13i1.3691.
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This study was aimed to know the effect of dependent variable, spread of public bank rate in Indonesia period 2009-2013.Multiple linear regressions with model of least quadrat estimation were used as analysis tool. In the model equation, spread rate of interest (interest rates on loans and interest rates on savings) was a dependent variable, and then the independent variable was BI rate, ROA, NPL, and SIBOR.The result of this current study showed that BI rate and ROA had a negative effect and significant on spread rate of interest, whereas NPL and SIBOR had a positive effect and significant on spread rate of interest. Simultaneously, BI rate, ROA, NPL, SIBOR influence the spread rate of interest. Meanwhile, trial on classic assumption showed that all regressions had pulled through from classic assumption (autocorrelation, heterocedasticity, multicollinearity). Coefficient determination (R2) of regression interest rate spread was 0,708181 or 70.82%. it showed that independent variable consist of BI rate, ROA, NPL, and SIBOR clarified the changing of dependent variable interest rate spread as big as 70.82%, whereas the remaining 0.29% was clarified by other variable that is not included in estimation model.
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Eriandy, Firnanda Melia. "Analisis Aglomerasi Pada Koridor Ekonomi di Indonesia." Jurnal Ekonomi Akuntansi dan Manajemen 20, no. 2 (October 4, 2021): 134. http://dx.doi.org/10.19184/jeam.v20i2.25775.
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Economic development that tends to be centered on developed regions causes a spatial concentration of economic activity. One of the efforts to build growth centers in each corridor, the Master Plan for the Acceleration of Expansion of Indonesian Economic Development (MP3EI) divides Indonesia into six economic development corridors. The purpose of this study is to determine the level of economic agglomeration in each economic corridor in Indonesia, and to analyze the determinants of economic agglomeration in these corridors. This type of research data uses secondary data consisting of time series data for 2010-2019 and cross section data of six economic corridors in Indonesia. Data analysis using Herfindahl-Hirschman Index and Panel Data Regression. The results of this study are that the regional government budget has a significant and positive effect on economic agglomeration in economic corridors in Indonesia. The number of workers has a significant and negative relationship to economic agglomeration. Meanwhile, investment does not have a significant positive effect on economic agglomeration in economic corridors in Indonesia.
Keywords: Economic Agglomeration, Regional Government Budget, Investment, Herfindahl-Hirschman Index, Panel Data Regression.
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Meliza, Meliza, and Murtala Murtala. "ANALISIS KETIMPANGAN PENDAPATAN DI PROVINSI ACEH." Jurnal Ekonomi Regional Unimal 3, no. 1 (November 29, 2020): 27. http://dx.doi.org/10.29103/jeru.v3i1.3199.
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Thisstudyaimsto analyze the factorsthatinfluence income inequality in Aceh Province. This study uses secondary data obtained from the Central Bureau of Statistics of Aceh Province in 2010-2017. Data analysis techniques used are the williamsonindex, entropytheil index, and multiplelinear regression analysis. Thetestresults using the Williamson index show that income inequality in Aceh Province is still quite high at 0.41%, and from the entropy theil index testing shows very high-income inequality at 1.47%, Economic growth (Growth) does not affect income inequality (INEQ) The unemployment rate (Unemp) does not affect income inequality (INEQ), the Gross enrollment rate (GER) affects income inequality (INEQ), and Agglomeration (Aglo) does not affect income inequality (INEQ).Keywords: income inequality.
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Safitri, Yunella, and Dewi Zaini Putri. "ANALISIS DETERMINAN CADANGAN DEVISA DI INDONESIA." Jurnal Kajian Ekonomi dan Pembangunan 3, no. 4 (December 1, 2021): 97. http://dx.doi.org/10.24036/jkep.v3i4.12383.
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This study examines the analysis of the determinants of Indonesia's foreignexchange reserves. The data used in this study is secondary data obtained from the publications of the relevant agencies. This study uses Multiple Linear Regression analysis. The results of the study: (1) The effect of exports on foreign exchange reserves is insignificant and positive (2) The effect of imports on foreign exchange reserves is positive and not significant, (3) The effect of the exchange rate on foreign exchange reserves is significant and positive, (4) The effect of interest rates to foreign exchange reserves is significant and negative, (5) Simultaneously, the effect of exports, imports, exchange rates and interest rates on Indonesia's foreign exchange reserves is significant
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Martauli, Desy, Amri Amir, and Candra Mustika. "Analisis inflasi di lihat dari permintaan dan penawaran di Indonesia Tahun 2000-2018." e-Journal Perdagangan Industri dan Moneter 8, no. 1 (April 1, 2020): 1–10. http://dx.doi.org/10.22437/pim.v8i1.7189.
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This study aims to determine the analysis of inflation in terms of demand and supply in Indonesia in 2000-2018, the variables studied are the exchange rate, loan interest rates, world oil prices, public consumption. The type of time series data with the analytical method used in this study is using simple linear regression analysis and multiple linear regression (OLS) methods. The results of the trend of each variable inflation, exchange rate, interest rates on loans, world oil prices and public consumption fluctuate and have a tendency to increase with average inflation of 2.71%, the exchange rate of Rp. 14,143, the loan interest rate of 12.15%, the price of world oil is 91.67% and Indonesian people's consumption is 6,850,384 billion rupiah. The results of simple linear regression and multiple linear regression are shown through the simultaneous test (F test) that the exchange rate, loan interest rate, world oil price, and public consumption have a positive and significant effect on inflation in Indonesia. The results of the partial test (t-test) show that the loan interest rate and world oil prices have a positive and significant effect on inflation in Indonesia and public consumption has a negative and significant effect on inflation in Indonesia, while the exchange rate has a positive and significant effect on inflation in Indonesia. Keywords: Inflation, Exchange rate, Loan interest rate, World oil price, Community consumption
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LAROSA, CANNY LESTARI, and KHAIRI PAHLEVI. "ANALISIS PENDUDUK BEKERJA DI KOTA BANJARMASIN." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 2, no. 2 (September 25, 2019): 244. http://dx.doi.org/10.20527/jiep.v2i2.1170.
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Canny Lestari Larosa, (2018) Working Population Analysis in Banjarmasin City. Advisor: Khairi Pahlevi, S.Pi.M.Si. This study aims to analyze the working population in the city of Banjarmasin in 2002 s.d. 2016. The independent variables in this study are wages, economic growth, inflation and education level. The dependent variable is the working population in Banjarmasin City. The research method used is quantitative method using multiple linear regression analysis. The results showed that the variable wages, economic growth, inflation and education level simultaneously had a significant effect on the working population in the city of Banjarmasin. Partially, variables that significantly influence the working population in Banjarmasin City are wages, economic growth and education level.Keywords: Working Population, Wages, Economic Growth, Inflation, Level of Education.
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Sugiharto, Adellya Putri, Koesriwulandari Koesriwulandari, and Markus Patiung. "Analisis Keuntungan Pemasaran Bunga Potong Krisan di Surabaya." Jurnal Ilmiah Sosio Agribis 22, no. 1 (July 26, 2022): 37. http://dx.doi.org/10.30742/jisa22120221993.
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The purpose of this study is: to analyze marketing costs, analyze profits in marketing and analyze the factors that influence the marketing advantages of cut chrysanthemum flowers in the Kayoon flower market Surabaya. The research method used is simple random sampling. The respondents in this study were 30 merchants retailers of chrysanthemum cut flowers. The data analysis method uses multiple linear regression analysis. Based on the results of multiple linear regression, the profit mode of marketing chrysanthemum cut flowers in the Kayoon Surabaya flower market is as follows: Y = 3991783,723 – 26,846X1 – 6,587X2 + 0.292X3 + 23,633X4 + e. F-statistical value with a magnitude of 2,941 or above the significance level of 0.05 (α = 5%). It was concluded that all marketing activities carried out simultaneously including stand rental financing, transportation financing, levy financing, labor financing have a significant influence with the profits obtained from efforts to market discounts from chrysanthemum flowers at the Kayoon Surabaya flower market. Partially, marketing activities that have a significant influence on the profits obtained from marketing efforts are stand rental financing and transportation financing and labor financing.Keywords: Chrysanthemum Cut Flowers, Marketing Advantage, Multiple Linear Regression
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Hardiyanti, Widhian, Andi Kartika, and Sartika Wulandari. "Analisis Kemiskinan di Kota Besar Pulau Jawa." JKBM (JURNAL KONSEP BISNIS DAN MANAJEMEN) 8, no. 1 (November 30, 2021): 92–103. http://dx.doi.org/10.31289/jkbm.v8i1.6135.
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This study aims to examine and analyze the effect of Literacy Rate (LR) and Gross Regional Domestic Product (GRDP) on Poverty in the Big Cities of Java Island from 2015 to 2019. The population in this study is all people in the poor category in Indonesia. The samples in this study were people who were categorized as poor in the big cities of Java, namely the Special Capital Region of Jakarta, Bandung, Semarang, Surabaya, DIY, and Banten. Data were analyzed using panel data regression (pooled data) with a total sample of 30 data. The data processing tools in this study use Ms. Excel and Eviews no 9. The panel data regression model options include Estimating Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection using Chow Test and Hausmant Test. The results of the two tests recommend researchers use the output of the Fixed Effects Model for hypothesis testing. Results show that the Literacy Rate (LR) has a negative and significant effect on poverty in Big Cities in Java. GDRP doesn’t affect poverty in Big Cities in Java
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Fauzi, Syahri, Dewi Zaini Putri, and Alpon Satrianto. "ANALISIS DETERMINAN SETENGAH PENGANGGURAN DI SUMATERA BARAT." Jurnal Ecogen 1, no. 3 (February 7, 2019): 567. http://dx.doi.org/10.24036/jmpe.v1i3.5027.
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This study aims to determine the effect of education level, occupation, employment sector, wages, age, gender, marital status, area of residence of the underemployment in West Sumatra Province. This type of research is descriptive, where this study uses secondary data in the form of a cross-section with the 2015 national labor force survey data and uses the Logistic Regression analysis method. The results of this study indicate that the level of education has a negative and insignificant effect on voluntary underemployment in West Sumatra, the field of work has a negative and not significant effect on voluntary underemployment in West Sumatra, the employment sector has a positive and insignificant effect on voluntary unemployment in West Sumatra Wages have a positive and significant effect on voluntary underemployment in West Sumatra, age has a positive and significant effect on voluntary underemployment in West Sumatra, gender has a negative and significant effect on voluntary underemployment in West Sumatra, marital status has a positive and insignificant effect on underemployment voluntarily in West Sumatra, the area of residence has a negative and insignificant effect on voluntary unemployment in West Sumatra. Keywords: underemployment, economic factor, demographic, dan logistic regression
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Wijayanti, Ariyani Wahyu, and Salman Faris Insani. "Analisis Anteseden Kewirausahaan Di Perusahaan Keluarga." Jurnal Ekonomi dan Bisnis 19, no. 2 (October 5, 2016): 295. http://dx.doi.org/10.24914/jeb.v19i2.559.
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<p><em>This research examines and analyzes the corporate entrepreneurship antecedent in family firms; the willingness to change, generation involvement, perceived technological opportunity, and strategic planning. The samples of this research are family firms which located in the center of batik industry in Surakarta, Sukoharjo, and Sragen. Eighty two respondents in this study are business owners or respective family members who are involved in managing the organization and able to disclose required information for this research. The research used non-probability sampling and purposive sampling as the method and technique. By using multiple regression analysis, the findings have shown that corporate entrepreneurship antecedent is a willingness to change and strategic planning, while generation involvement and perceived technological opportunity do not influence on corporate entrepreneurship.</em></p>
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MARISA, MARISA. "ANALISIS DETERMINAN TINGKAT KEMISKINAN DI INDONESIA." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 2, no. 1 (September 25, 2019): 76. http://dx.doi.org/10.20527/jiep.v2i1.1156.
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This research was purpose to analyze the effect of economic growth, government expenditure, inflation, andunemployment on the level of poverty in Indonesia. This study uses time series data in the form of annual data from 1997-2017 period. The analysis technique in this study uses cointegration approach and Error Correction Model (ECM) and multiple linear regression models. The estimation results show that the variable of economic growth are statistically significant and have a negative effect on the level of poverty in Indonesia. While the variable of government expenditure, inflation and unemployment are not statistically significant in influencing the level of poverty in Indonesia.The results of this study imply that economic growth is a macroeconomic variable that plays a major role in reducing the level of poverty in Indonesia.Keywords: Economic Growth; Government Expenditure; Inflation; Unemployment; Poverty
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Fitriah, Dina, Sri Marwanti, and Ernoiz Antriyandarti. "ANALISIS PERMINTAAN BERAS ORGANIK DI KOTA SURAKARTA." Jurnal Social Economic of Agriculture 9, no. 2 (December 30, 2020): 81. http://dx.doi.org/10.26418/j.sea.v9i2.43004.
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Research aims to understand variable influence the price of organic rice, the price of nonorganic rice, chicken egg price, education, income, the number of family members, preference on the organic rice in the city of surakarta and elasticity demand. The basic method used in this research is descriptive and analytical method with survey research technique. The method of determining the location of the research is aimed at Surakarta City. The sampling method used is accidental sampling with 100 respondents. Data analysis used the multiple linear regression analysis. This research result indicates the price of organic rice , the price of non-organic rice, the price of chicken egg, education, income, the number of family members, and preference together had an influence on the request of organic rice. The factors that influence individual is organic rice price, non-organic rice price, chicken egg price, and income. The organic rice price elasticity was negative (-0,683) shows that the organic price is inelastic. The income elasticity was positive (0,611) shows that rice organic included in a category of normal good. Non-organic rice price cross elasticity was positive (1,454) means non-organic rice of substitution to organic rice. Chicken egg price cross elasticity was negative (-1,060) means egg of complementary to organic rice.Keywords: Demand, Elasticity, Organic Rice, Regression
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Zakia, Zakia Pelita, Zulfanetti Zulfanetti, and Etik Umiyati. "Analisis pedagang di pasar TAC Kota Jambi." e-Journal Perdagangan Industri dan Moneter 10, no. 1 (March 7, 2022): 1–12. http://dx.doi.org/10.22437/pim.v10i1.16536.
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This study aims to: 1) analyze the social and economic characteristics of traders in TAC Market Jambi City. 2).To analyze the significant difference between the income of traders before the Covid-19 pandemic and during the Covid-19 pandemic, and 3).To analyze the factors that determine the income of traders at TAC Market in Jambi City. The method of data collection is the survey method with a questionnaire tool. Then the analytical tools used are Mann Whitney Test and Multiple Linear Regression. Based on the average age of business traders is 39 years, then the average working hours of traders are 9 hours, then there are very many traders selling close to home. Vegetable traders dominate the number of traders. Furthermore, the capital issued by traders for one month is an average of 4,225,000, and the income issued by traders for one month is an average of 3,470,000. There is a difference in the income of traders before the covid-19 pandemic and during the covid-19 pandemic. Based on the regression results, it can be concluded that working capital, business location, and age significantly affect the income of traders at TAC Market in Jambi City. In comparison, working hours and types of the merchandise substantially affect the income of traders at TAC Market, Jambi City.
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Ginting, Ari Mulianta. "ANALISIS DETERMINASI INFLASI DI INDONESIA." Jurnal Organisasi dan Manajemen 12, no. 1 (March 27, 2016): 89–96. http://dx.doi.org/10.33830/jom.v12i1.50.2016.
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Inflation is one of the macroeconomic indicators of concern for the government. The high inflation rate could disrupt the economy. This study tried to analyze the factors that cause inflation in Indonesia. This study used a qualitative and quantitative approach using secondary data period 2004-2014. The results of the qualitative analysis showed that in the period 204-2014 inflation rate in Indonesia was fluctuated While the results of the regression analysis VECM, indicating that the inflation rate in Indonesia is influenced by the variable of exchange rate, money supply and level of consumption. While the GDP variable has a negative influence on inflation. In order to control the inflation rate the government could use macroeconomic variables such as exchange rates, the money supply well. Besides controlling public consumption at a good level and increase the production of goods and services to meet community needs.
Inflasi merupakan salah satu indikator ekonomi makro perhatian bagi pemerintah. Tingkat inflasi yang tinggi dapat mengganggu perekonomian. Penelitian ini mencoba untuk menganalisis faktor-faktor yang menyebabkan inflasi di Indonesia. Penelitian ini menggunakan pendekatan kualitatif dan kuantitatif dengan menggunakan periode data sekunder 2004-2014. Hasil analisis kualitatif menunjukkan bahwa tingkat inflasi periode 204-2014 di Indonesia berfluktuasi. Sementara hasil VECM menunjukkan bahwa tingkat inflasi di Indonesia dipengaruhi oleh variabel nilai tukar, uang beredar dan tingkat konsumsi. Sementara itu variabel GDP memiliki pengaruh negatif pada inflasi. Untuk mengendalikan tingkat inflasi pemerintah dapat menggunakan variabel ekonomi makro seperti nilai tukar, uang memasok baik. Selain mengendalikan konsumsi masyarakat pada tingkat yang baik dan meningkatkan produksi barang dan jasa untuk memenuhi kebutuhan masyarakat.
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Lasta, Gracy Adira, Satria Yudha Ananta Putra, and Armara Hanania Ghaisani. "ANALISIS FAKTOR PENDAPATAN PENDUDUK DI INDONESIA." Jurnal Dinamika Ekonomi Pembangunan 5, no. 1 (January 29, 2022): 598–604. http://dx.doi.org/10.33005/jdep.v5i1.319.
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There have been many developments in the global economy, especially in the investment sector. Among them is the increase in cross-border capital flows. Efforts are being made by the Indonesian government to increase cross-border capital flows, namely through increasing Foreign Direct Investment (FDI) and widening trade flows. Direct investment (FDI) and foreign relations are considered sources of cross-border capital flows that countries use to promote economic growth. This discussion will focus on how FDI and the impact of trade on the income of the Indonesian population during the period 2009 to 2020. The OECD (Organization for Economic Co-operation and Development) has also recommended three policies for Indonesia to focus on attracting more FDI to boost its economic growth. This study uses a quantitative descriptive method, with Multiple Linear Regression Test and Classical Assumption Test approaches to measure the relationship between variables. The results of this study indicate that there is a positive relationship between foreign direct investment and trade on the income of the population in Indonesia.
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Azhar, Halim, and Yeniwati Yeniwati. "Analisis Determinan Efisiensi Perbankan di Indonesia." Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan 9, no. 2 (November 9, 2020): 133. http://dx.doi.org/10.24036/ecosains.11574457.00.
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This study aims to determine the extent of the influence of bank size (total assets), capital adequacy (CAR) and credit risk (NPL) on banking efficiency in Indonesia. Banking efficiency in this study uses the BOPO indicator. This research is classified into descriptive and inductive research. The data used in this study is secondary data in the form of panel data on 27 conventional commercial banks in Indonesia from 2010 to 2019 obtained from the Financial Services Authority (OJK). This study uses a panel regression analysis method. The results of the study using the Fixed Effect Model (FEM) show that: (1) Bank size (total assets) has a negative and insignificant effect on bank efficiency in Indonesia, (2) Capital adequacy (car) has a negative and insignificant effect on bank efficiency. negative and insignificant to bank efficiency in Indonesia, (3) Credit risk (NPL) has a negative and significant effect on bank efficiency in Indonesia. (4) Bank size (total assets), Capital adequacy (car) and credit risk together significant effect on banking efficiency in Indonesia.
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Situmorang, Melva Hilda Stephanie, and Yuliana Susanti. "Pemodelan Indeks Keparahan Kemiskinan di Indonesia Menggunakan Analisis Regresi Robust." Indonesian Journal of Applied Statistics 3, no. 1 (July 23, 2020): 51. http://dx.doi.org/10.13057/ijas.v3i1.40838.
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<p>Poverty is one indicator to see the success of development in a country. The Poverty Severity Index can be used as one measure of the magnitude of poverty in an area. In the Poverty Severity Index data in Indonesia, in 2018 there were some outliers, so to analyze it used robust regression. The purpose of this study is to determine the significant factors on the Poverty Severity Index in Indonesia using robust regression with the <em>M</em>-estimation method. The results showed that the Poverty Severity Index model in Indonesia using robust regression was influenced by Gini Ratio, Percentage of Poor Population, and Pure Participation Rate with <em>R-square</em> = 94,8%.</p><p><strong>Keywords: </strong>Poverty Severity Index, robust regression.</p>
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Nadya, Meila, Widyanti Rahayu, and Vera Maya Santi. "ANALISIS GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA KASUS PNEUMONIA BALITA DI PROVINSI JAWA BARAT." Jurnal Statistika dan Aplikasinya 1, no. 1 (September 8, 2017): 23–32. http://dx.doi.org/10.21009/jsa.01103.
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Pneumonia adalah salah satu penyakit Infeksi Saluran Pernapasan Akut (ISPA) yang disebabkan oleh bakteri atau virus. Di Indonesia, pneumonia merupakan penyebab kematian balita tertinggi kedua setelah diare. Kasus pneumonia pada balita terbanyak yang ditemukan di Indonesia adalah di provinsi Jawa Barat. Untuk mengatasi pneumonia balita perlu dianalisis faktor penyebab pneumonia balita. Salah satu cara untuk menganalisis faktor tersebut adalah dengan menggunakan analisis Geographically Weighted Regression (GWR). Analisis GWR merupakan pengembangan dari analisis regresi linier berganda yang dapat mengatasi keragaman wilayah/heterogenitas spasial sehingga menghasilkan model dan pendugaan parameter berbeda untuk setiap wilayah amatan. Hasil analisis GWR dengan menggunakan pembobot spasial \textit{Fixed Kernel Gaussian} menunjukkan bahwa model GWR lebih baik daripada model regresi linier berganda. Hal ini berdasarkan nilai R2, nilai R2 dari model GWR (88.34%) lebih besar dari R2 dari model regresi linier berganda (71.86%). Sementara, Jumlah Kuadrat Galat (JKG) untuk model GWR diperoleh 3.031 lebih kecil bila dibandingkan dengan nilai JKG dari regresi linier berganda yang sebesar 7.317. Secara umum, terdapat tiga faktor yang berpengaruh signifikan terhadap kasus pneumonia balita di provinsi Jawa Barat tahun 2014 yaitu jumlah balita gizi buruk, persentase bayi yang diimunisasi dasar lengkap dan jumlah puskesmas.
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Rohmaniyah, Nila Nur, Titik Ekowati, and Wahyu Dyah Prastiwi. "Analisis Usahatani Padi di Selogiri Wonogiri." Jurnal Ilmiah Membangun Desa dan Pertanian 7, no. 6 (December 25, 2022): 247–54. http://dx.doi.org/10.37149/jimdp.v7i6.157.
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Farming activities are a source of farmers' income and are expected to be profitable or provide maximum profits to implement business sustainability. The aim research was to analyze the profitability and factors that influence the income of rice farming in Selogiri. The study was conducted from January – March 2022. The research location was in Selogiri District, Wonogiri Regency, which was chosen purposively because it has the highest rice area in Wonogiri Regency. Survey methods were used in the research, with 96 farmers selected as respondents. The types of data used were primary and secondary. Preliminary data were taken from interviews with farmers in Selogiri District consisting of production costs, investment, and respondent data. Secondary data were of BPS data, journals, and literacy taken from the internet, including the research location's general condition, population data, maps, and bank deposit interest rates. Data were analyzed by analyzing profitability and multiple linear regression analysis. They showed that farming is profitable, with a profitability value of 77.86% and a BRI bank interest rate of 2.3%. Prices of seeds, fertilizers, pesticide labor wages, irrigation prices, and land rents simultaneously affect income. In contrast, fertilizer prices, labor wages, and irrigation prices partially affect income.
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Zulkifli, Zulkifli, Amri Amri, and Eddy Munawar. "ANALISIS FERTILITAS DI PROVINSI ACEH." JURNAL PERSPEKTIF EKONOMI DARUSSALAM 6, no. 1 (March 15, 2020): 54–71. http://dx.doi.org/10.24815/jped.v6i1.16173.
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The purpose of this study is to find out the factors that affect the fertility of the women of childbearing age (WUS) in Aceh Province. The dependent variable used was fertility and the independent variables are Household Wealth, Residence (rural or urban), Age, Education,The Age of First Childbirth, and The Age of First Marriage. The data used are secondary data from Survey Demograsi dan Kesehatan Indonesia (SDKI) 2017 and analyzed using multiple linear regression model. The results showed that Age had a positive and significant effect, while the other independent variables namely Residence (rural or urban), Education, and the Age of the First Childbirth had significantly negative effect on Fertility. Moreover, there are two independent variable, Household Wealth and the Age of First Marriage, which had negative effect but did not significant. It is hoped by considering the results of this research, BKKBN is able to create a new program that could reach WUS in milenial era, and also improves socialization and knowledge about the ideal age of first childbirth to reduce fertility numbers.Keywords: Fertility, SDKI 2017,Women of Childbearing Age, the Age of First ChildbirthTujuan dari penelitian ini adalah untuk melihat faktor-faktor yang mempengaruhi fertilitas wanitAbstrakTujuan dari penelitian ini adalah untuk melihat faktor-faktor yang mempengaruhi fertilitas wanita usia subur (WUS) di Provinsi Aceh. Adapun variabel terikat yang digunakan yaitu Fertilitas dan variabel bebas yaitu Kekayaan Rumah Tangga, Tempat Tinggal (desa atau kota), Usia, Lama Sekolah, Usia Melahirkan Anak Pertama dan Usia Kawin Pertama. Data yang digunakan adalah data sekunder yaitu data Survey Demograsi dan Kesehatan Indonesia (SDKI) 2017 dengan menggunakan model regresi linear berganda. Hasil penelitian menunjukkan bahwa Usia berpengaruh positif dan signifikan, sedangkan variabel bebas lainnya yaitu Tempat Tinggal (desa atau kota), Lama Sekolah, dan Usia Melahirkan Anak Pertama berpengaruh negatif dan signifikan terhadap Fertilitas. Ada dua variabel bebas yaitu Kekayaan Rumah Tangga dan Usia Kawin Pertama yang berpengaruh negatif tapi tidak signifikan. Diharapkan pihak BKKBN dapat membuat program baru yang menyentuh WUS milenial, dan meningkatkan sosialisasi serta pengetahuan tentang usia melahirkan pertama yang ideal untuk menurunkan fertilitas. Kata Kunci: Fertilitas, SDKI 2017, Wanita Usia Subur, Umur Melahirkan Anak Pertama
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Tubaka, Saddam. "ANALISIS KEMISKINAN DI KAWASAN TIMUR INDONESIA." Jurnal Cita Ekonomika 13, no. 2 (December 1, 2019): 113–30. http://dx.doi.org/10.51125/citaekonomika.v13i2.2615.
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This study was conducted to analyze the effect of economic growth, income distribution, unemployment, education and health on poverty in Eastern Indonesia in 2013-2017. Independent variables used in this study are economic growth, income distribution, unemployment, education and health and poverty as dependent variable. The data used in this study are secondary data sourced from the Central Statistics Agency of Maluku Province consisting of time series data for 2013 - 2017 and cross section data for 12 provinces in Eastern Indonesia. The analytical method used is panel data regression analysis. The results showed that economic growth had a positive and not significant effect on poverty in Eastern Indonesia. Variable income distribution has a positive and not significant effect on poverty in Eastern Indonesia. The unemployment variable has a positive and significant effect on the poverty variable in Eastern Indonesia. Education and health variables have a positive and significant effect on poverty in Eastern Indonesia. The coefficient of determination is 0.993136, meaning that the poverty variable can be explained by variables of economic growth, income distribution, unemployment, education and health by 99.31%. Simultaneous test results (F test), showed variables of economic growth, income distribution, unemployment, education and health simultaneously had a significant effect on poverty in Eastern Indonesia.
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Kusnindar, Isnaini. "ANALISIS PENERIMAAN RETRIBUSI PASAR DI KABUPATEN KLATEN." Jurnal Administrative Reform 4, no. 4 (July 19, 2017): 261. http://dx.doi.org/10.52239/jar.v4i4.609.
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This research aims to analyze the relationship and the influence of Human Resources, economic growth and potential retribution to acceptance of retribution market in the district of Klaten. The data used in this research is secondary data from Dinas Perindustrian, Perdagangan, Koperasi dan Usaha Kecil Mikro Menengah including data management market, Human Resource Data and Gross Regional Domestic Product. The population in this study is a traditional market in Klaten regency as many as 50 markets. Testing is done by using a multiple linear regression analysis. The analysis shows that the potential retribution significant and positive impact to acceptance of retribution market in the district of Klaten. While human resources and economic growth has no significant effect and has an inverse relationship the market acceptance of retribution.
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Nainggolan, Febrianto, and Ernawati Pasaribu. "ANALISIS CAPAIAN BELAJAR SISWA SMAN DI INDONESIA TAHUN 2019 DENGAN PEMODELAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION." Seminar Nasional Official Statistics 2020, no. 1 (January 5, 2021): 771–80. http://dx.doi.org/10.34123/semnasoffstat.v2020i1.509.
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Capaian belajar siswa secara nasional selama ini diukur dengan hasil Ujian Nasional (UN). Sebaran nilai UN siswa SMAN di Indonesia cenderung tidak merata, dimana capaian belajar yang tinggi hanya berada di pulau Jawa. Ironisnya, wilayah di Kawasan Timur Indonesia memiliki rata-rata nilai UN yang sangat rendah. Hal yang menarik bahwa wilayah dengan kategori nilai yang sama cenderung berdekatan dan mengindikasikan terdapat efek kewilayahan pada capaian belajar di Indonesia. Penelitian ini menganalisis karakteristik dan faktor-faktor yang memengaruhi capaian belajar siswa SMAN tingkat kabupaten/kota di Indonesia tahun 2019 dengan pendekatan model mixed Geographically Weighted Analysis (mixed GWR). Hasil penelitian mendapatkan bahwa terdapat efek autokorelasi spasial dan heterogenitas spasial dalam pemodelan nilai UN SMAN tingkat kabupaten/kota dan faktor yang memengaruhinya di Indonesia pada tahun 2019. Analisis menggunakan metode mixed GWR menghasilkan variabel kondisi bangunan ruang kelas, rasio siswa per kelas, dan nilai Uji Kompetensi Guru memengaruhi capaian belajar secara lokal di tiap kabupaten/kota. Sementara, PDRB per kapita berpengaruh secara global terhadap capaian belajar. Saran yang diberikan yaitu perbaikan bangunan ruang kelas, distribusi jumlah siswa per kelas dan sebaran guru berkemampuan tinggi yang lebih merata. Selain itu, perlu diadakan bentuk ujian yang lebih dapat menggambarkan kualitas pendidikan di Indonesia, sebagai pengganti Ujian Nasional.
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Pratama, Yohanes Mario. "ANALISIS DETERMINAN PENGUNGKAPAN EMISI KARBON DI INDONESIA." Modus 33, no. 2 (July 30, 2021): 120–37. http://dx.doi.org/10.24002/modus.v33i2.4644.
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ABSTRACTThis research aimed to discuss and obtain empirical evidence about determinants affecting carbon emission disclosure in Indonesia. The independent variables tested in this research consisted of board of commissioner size, women on board members size, board of director size, company size, and institutional ownership. The measurement of carbon emission disclosure using index checklist developed by Choi et al. (2013). Non-financial companies listed on Indonesia Stock Exchange in 2015-2019 were used as the population of this study. In this research, the sample was taken by using purposive sampling method. Data were analyzed using multiple linear regression. The results showed that the board of commissioner size, and company size have a positive effect on carbon emission disclosure, while women on board members size, board of director size, and institutional ownership have no effect on carbon emission disclosure. These results are expected to encourage companies to disclose information regarding carbon emission and to reduce carbon emission. Keywords: carbon emission disclosure; board of commissioner size; women on board members size; board of director size; company size; institutional ownership ABSTRAKPenelitian ini bertujuan untuk menemukan bukti empiris mengenai determinan yang mempengaruhi pengungkapan emisi karbon di Indonesia. Variabel independen dalam penelitian ini adalah ukuran dewan komisaris, proporsi anggota dewan wanita, ukuran dewan direksi, ukuran perusahaan, dan kepemilikan institusional. Pengukuran pengungkapan emisi karbon dilakukan dengan menggunakan indeks checklist yang dikembangkan oleh Choi et al. (2013). Perusahaan non-keuangan yang terdaftar di Bursa Efek Indonesia dalam periode 2015-2019 digunakan sebagai populasi dalam penelitian ini. Pengambilan sampel dilakukan dengan menggunakan metode purposive sampling. Analisis data dilakukan dengan menggunakan multiple linear regression. Hasil penelitian ini menunjukkan bahwa ukuran dewan komisaris dan ukuran perusahaan memiliki pengaruh positif terhadap pengungkapan emisi karbon, sedangkan proporsi anggota dewan wanita, ukuran dewan direksi, dan kepemilikan institusional tidak memiliki pengaruh terhadap pengungkapan emisi karbon. Hasil ini diharapkan dapat mendorong perusahaan-perusahaan untuk mengungkapkan informasi terkait emisi karbon dan menurunkan emisi karbon. Kata kunci: pengungkapan emisi karbon; ukuran dewan komisaris; proporsi anggota dewan wanita; ukuran dewan direksi; ukuran perusahaan; kepemilikan institusional
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Seventeen, Winny Lian. "ANALISIS PREDIKSI KEBANGKRUTAN PERUSAHAAN PUBLIK DI INDONESIA." JAZ:Jurnal Akuntansi Unihaz 2, no. 2 (November 16, 2019): 63. http://dx.doi.org/10.32663/jaz.v2i2.992.
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This study aimed to analyze the bankruptcy prediction public companies in Indonesia, The population in this study is a bankrupt company to ever be listed on the Stock Exchange in 1998-2015 and similar companies for comparison. This type of research used in this research is descriptive research with quantitative approach. The samples selected 42 enterprise units of analysis. Tools of data analysis in this study using Altman Z "-Score modificated and Springate S-Score. The results from each model in the count back using logistic regression to see the best model in predicting bankruptcy. The results of this study indicate that the Altman Z "-Score modificated and Springate S-Score, none of the models in this study can be used to predict the bankruptcy of public companies in Indonesia.
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Yarbo, Rahmat, E. Wantasen, A. H. S. Salendu, and P. O. V. Waleleng. "ANALISIS PENDAPATAN PETERNAKAN AYAM BURAS YANG DI PELIHARA SECARA EXTENSIF DI KECAMATAN DIMEMBE." ZOOTEC 40, no. 1 (December 31, 2019): 160. http://dx.doi.org/10.35792/zot.40.1.2020.26949.
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ABSTRACTINCOME ANALYSIS OF NATIVE CHICKEN FARMING RAISED EXTENSIVELY IN DIMEMBE SUBDISTRICT. The goal of this research were to investigate the income on the business of domestic poultry that is maintained extensively and to determine the factors that influence it. The study was conducted by using survey and interview methods based on a list of questions toward 80 respondents of native chicken farmers in Dimembe Sub District. Data analysis were descriptive and quantitative analysis. Quantitative analysis was done by using multiple regression techniques of the Cobb-Douglass model. The results showed that the average net income from selling free-range chickens, which is Rp. 2.780.471,875 /year / breeder. The results of the regression analysis showed that altogether the independent variables influenced the income of farmers as much as 73.1%. Partially the independent variables that significantly influence farmers 'income (P<0,05) were labor costs and farmers' perceptions while feed costs drug and vitamin costs and the cage cost were not significantly effect on breeder’s income from native chicken farming (P> 0.05) Production costs of a locally-grown free-range chicken farm are mostly used to buy feed.