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Journal articles on the topic 'Gwer east'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

D., O. Ekhuemelo, I. Tsembe J., and I. Amonum J. "Investigation of Charcoal Production in Gwer West and Gwer East Local Government Areas of Benue State, Nigeria." Asian Journal of Environment & Ecology 3, no. 1 (2017): 1–13. https://doi.org/10.9734/AJEE/2017/34362.

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This study assessed charcoal production in Gwer west and Gwer east Local Government Areas (LGAs) of Benue State, Nigeria. It was aimed at to identifying charcoal producing villages, preferred wood species used, market channels, awareness of the implication of environmental and socio-economic benefits of charcoal production. Snowball sampling technique was used to identify charcoal producing villages. Mult-stage sampling technique was employed to select respondents for data collection. Five villages were randomly selected and visited in each LGAs, in each village, five charcoal producers were c
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2

Ekhuemelo, D., J. Tsembe, and J. Amonum. "Investigation of Charcoal Production in Gwer West and Gwer East Local Government Areas of Benue State, Nigeria." Asian Journal of Environment & Ecology 3, no. 1 (2017): 1–13. http://dx.doi.org/10.9734/ajee/2017/34362.

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3

Naakaa, Tertindi, Joshua Abah Abah, and Gabriel Terfa Atondo. "Influence of School Environmental Variables on Students' Performance in Junior Secondary School Mathematics in Gwer-East Local Government Area of Benue State, Nigeria." International Journal of Research and Innovation in Social Science (IJRISS) 3, no. 1 (2019): 61–70. https://doi.org/10.5281/zenodo.2547640.

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This study examined the influence of school environmental variables on students’ performance in Junior Secondary School mathematics in Gwer-East Local Government Area of Benue State. The study adopted an expo-facto design. A sample of 120 Junior Secondary School II students from ten schools was drawn out of a population of 3,482 JSS II students from Gwer-East Local Government Area of Benue State, Nigeria. A validated 20-item Influence of Environmental Variables on Students Performance Questionnaire (IEVSPQ) was used to collect data. Mean and standard deviation were used to answer the fou
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4

Ubi, Mary Otanwa, Andrew Egba Ubogu, and Olanrewaju Yusuf Yahaya. "ANALYSIS OF THE SPATIAL PATTERN OF DIVORCE ACROSS THE SENATORIAL ZONES OF BENUE STATE, NIGERIA." GEO-STUDIES FORUM 9, no. 2 (2024): 17–35. https://doi.org/10.5281/zenodo.13373050.

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The study examined the spatial pattern of divorce across the three senatorial zones and theLocal Government Areas (LGAs) in Benue State from the period 2009-2022. Data on the causes ofdivorce was obtained from respondents from all the Area Courts in the Twenty-Three LGAs of BenueState in order to achieve the aim of this study. The findings revealed that the total divorce cases recordedacross the senatorial zones for the period under study was 6731 and the mean is 2243.6. Benue SouthSenatorial Zone (Zone C) records of divorce cases were observed to be the highest in Benue State.Financial Stress
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Akiika, Msughve, Hinjam Wilfred Tarnongo, Juliana Terver Kuhe, and Terkula Gaavson. "National Home-Grown School Feeding Programme and Socio-Economic Development in Gwer East Local Government Area, Benue State, Nigeria." International Journal of Research and Innovation in Social Science VIII, no. VI (2024): 672–83. http://dx.doi.org/10.47772/ijriss.2024.806052.

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This study examined the impact of National Home-Grown School Feeding Programme on socio-economic development in Gwer East Local Government Area of Benue State, Nigeria. The methodology adopted for the study was survey research design with questionnaire being adopted as the instrument for data collection. A sample of 360, comprising of teachers, local farmers and vendors/cooks was used for the study. Literature was also explored for secondary data generation. The data collected were analyzed using Mean, Standard deviation and Chi-square. The Change-Model theory was adopted as a guide for theore
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Peter Gyanden, Kughur,. "Assessment of Input Needs of Women Vegetable Farmers in Gwer-East Local Government Area of Benue State, Nigeria." Agricultural Studies 2, no. 3 (2018): 20. http://dx.doi.org/10.31058/j.as.2018.23013.

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7

Utile, Timothy Igbakula, and Hinjam Wilfred Tarnongo. "Traditional Institutions and the Management of Communal Conflicts in Gwer-East Local Government Area of Benue State, Nigeria." International Journal of Research and Innovation in Social Science VIII, no. IV (2024): 223–36. http://dx.doi.org/10.47772/ijriss.2024.804018.

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This study examined traditional rulership institution and the management of communal conflicts in Gwer-East local Government Area, Benue State of Nigeria. The study aimed at finding out why there is a persistence of communal conflicts in the study area even with the efforts by traditional rulers to help manage them. The study pursued objectives that range from; ascertaining the relevance of the traditional rulers in communal conflict management, identifying the causes of communal conflicts, examining the effectiveness of traditional rulers in the management of communal conflicts, identifying t
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Ejikeme JO, Ikpughur C, Igbokwe EC, Udoudo NP, and Njoku RE. "Development of a web-based geospatial intelligent decision support system for control of herders and farmers crisis in Benue State Nigeria." World Journal of Advanced Research and Reviews 14, no. 3 (2022): 369–75. http://dx.doi.org/10.30574/wjarr.2022.14.3.0489.

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The biggest challenge in Nigeria today is herder-farmer conflict particularly in Benue State Nigeria. This study developed a web-based geospatial decision support system for control and management of herders/farmers crisis in Benue State. Landsat 5 TM (1989), Landsat 7 ETM+ (2004) and Landsat 8 (2019) were pre-processed and classified. The study revealed that forested areas had depleted by -4.17% between 1989 and 2004 and -2.20% between 2004 and 2019. Farmland had an increase of 34.01% between 1989 and 2004 and 17.92% between 2004 and 2019 and grassland had -7.12% between 1989 and 2004 and -3.
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Ejikeme, JO, C. Ikpughur, EC Igbokwe, NP Udoudo, and RE Njoku. "Development of a web-based geospatial intelligent decision support system for control of herders and farmers crisis in Benue State Nigeria." World Journal of Advanced Research and Reviews 14, no. 3 (2022): 369–75. https://doi.org/10.5281/zenodo.7731627.

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The biggest challenge in Nigeria today is herder-farmer conflict particularly in Benue State Nigeria. This study developed a web-based geospatial decision support system for control and management of herders/farmers crisis in Benue State. Landsat 5 TM (1989), Landsat 7 ETM+ (2004) and Landsat 8 (2019) were pre-processed and classified. The study revealed that forested areas had depleted by -4.17% between 1989 and 2004 and -2.20% between 2004 and 2019. Farmland had an increase of 34.01% between 1989 and 2004 and 17.92% between 2004 and 2019 and grassland had -7.12% between 1989 and 2004 and -3.
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10

Yager, G., A. Alarape, and M. Bunza. "Evaluation of Range Condition and Trend of Ikwe Forest Reserve Igbor, Gwer-East Local Government Area of Benue State, Nigeria." Asian Journal of Environment & Ecology 3, no. 3 (2017): 1–11. http://dx.doi.org/10.9734/ajee/2017/33752.

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11

Opeyemi Gbenga, Julius Olugbenga Owoyemi, Opaluwa, Haruna Ibrahim, and Yakubu Ojonugwa Faith. "EFFECT OF SOCIAL CAPITAL ON THE HEALTH STATUS OF RURAL FARMERS IN GWER-EAST LOCAL GOVERNMENT AREA, BENUE STATE, NIGERIA." Journal of Agripreneurship and Sustainable Development 5, no. 3 (2022): 49–60. http://dx.doi.org/10.59331/jasd.v5i3.334.

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The study examined the effect of social capital on the health status of rural farmers in Gwer East local government area of Benue State, Nigeria. Multi-stage sampling technique was used to select a total of 120 respondents. Data were collected through the use of a well-structured questionnaire and analyzed using descriptive statistics, social capital index, the index was estimated from the different forms of social capital constructed and WHO self-assessment scale for health status. Also, Binary Logit regression model was used. Results showed that the farmers were still young with an average a
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G., O. Yager, A. Alarape A., and S. Bunza M. "Evaluation of Range Condition and Trend of Ikwe Forest Reserve Igbor, Gwer-East Local Government Area of Benue State, Nigeria." Asian Journal of Environment & Ecology 3, no. 3 (2017): 1–11. https://doi.org/10.9734/AJEE/2017/33752.

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Public concern over biological resources assessment has grown over the decade due to a decline in resources through habitat fragmentation. The study was designed to evaluate the range condition and trend of Ikwe Forest Reserve in Gwer-East local government area of Benue State, Nigeria. Assessment of herbaceous cover and composition, woody plant/shrubs density and plant vigor were carried out in randomly selected sample plots. Litter cover was determined by step point transect method, while erosion and its extent were assessed by presence and degree of gullies. Data collected was analyzed using
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13

Ayilla, V. N., and J. A. Mbanasor. "Technical Efficiency of Turmeric (Curcuma Longa L.) Production in Benue State, Nigeria." American Journal of Economics 6, no. 1 (2022): 48–55. http://dx.doi.org/10.47672/aje.952.

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Purpose: The study analyzed the technical efficiency of turmeric production in Benue State, Nigeria. Taro Yamane’s formula was used to select 28 respondents.
 Methodology: The research made use of experimental design and a multistage, purposive and proportionate sampling was used for the study. Data for the study were collected with the aid of structured questionnaire from 28 turmeric farmers in Konshisha, Vandeikya, and Gwer-East Local Government Areas of Benue State. The collected data were analyzed using descriptive statistics and stochastic frontier production function.
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Ayilla, V. N., and J. A. Mbanasor. "Technical Efficiency of Turmeric (Curcuma Longa L.) Production in Benue State, Nigeria." American Journal of Economics 6, no. 1 (2022): 48–55. http://dx.doi.org/10.47672/aje.952.

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Purpose: The study analyzed the technical efficiency of turmeric production in Benue State, Nigeria. Taro Yamane’s formula was used to select 28 respondents.
 Methodology: The research made use of experimental design and a multistage, purposive and proportionate sampling was used for the study. Data for the study were collected with the aid of structured questionnaire from 28 turmeric farmers in Konshisha, Vandeikya, and Gwer-East Local Government Areas of Benue State. The collected data were analyzed using descriptive statistics and stochastic frontier production function.
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15

Ugee, Tertsegha Timothy, and Joshua Abah ABAH. "Ethnomathematical Aspects of the Toor Kyo la Nam and Ishiva-dar Indigenous Games of the Tiv People of Mbayom Village of Gwer-East Local Government Area of Benue State, Nigeria." VillageMath Educational Review (VER) 2, no. 1 (2021): 132–55. https://doi.org/10.5281/zenodo.5526283.

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This study applied phenomenological design to explore the ethnomathematical aspects of the <em>Toor Kyo la Nam </em>and<em> Ishiva-dar</em> indigenous games of the Tiv people of Mbayom Village of Gwer-East Local Government Area of Benue State, Nigeria. The sample comprises 15 Mbayom indigenes selected via purposive sampling. The instrument for the study is a semi-structured interview rubric. Narrative analysis was used to analyze and interpret the shared experience of Mbayom people with the local children plays. The results of the study revealed the richness of the <em>Toor Kyo la Nam </em>and
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TE, Labe, Agera SIN, Amonum J, Tembe ET, and Agbidye FS. "Phytochemical properties of Ceiba petandra (Kapok tree), Moringa oleifera (Moringa) and Cymbopogon citratus (Lemon grass) collected from a home garden in Igbor, Gwer East, Benue State, Nigeria." International Journal of Complementary & Alternative Medicine 13, no. 2 (2020): 62–67. http://dx.doi.org/10.15406/ijcam.2020.13.00494.

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17

Ekhuemelo, David, Aperaga Ushahemba, and Grace Dachung. "Climate Change Effects: Insights from Agroforestry Farmers in GwerEast, Benue State, Nigeria." Journal of Natural Resources and Farming 1 (July 3, 2025): 1–12. https://doi.org/10.7770/jonraf-v1-art4.

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This study explored farmers' awareness of climate change impacts on agroforestry farms in Gwer East, BenueState, Nigeria. Using a multi-stage sampling method, four council wards and fifteen villages were selected. A total of 292farmers were interviewed using a semi-structured questionnaire via Google Forms. Results showed that most respondentswere male (90.4%), aged 36-45 years (29.5%), Christian (99.7%), and married (94.2%). Farming was their primary (88.4%)and secondary occupation (82.2%), with average household sizes of 5-7 members (34.6%). Most earned no income (87.7%)and had undergraduate
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18

Ambarwati, Puput Cahya, Indahwati Indahwati, and Muhammad Nur Aidi. "KAJIAN SIMULASI OVERDISPERSI PADA REGRESI POISSON DAN BINOMIAL NEGATIF TERBOBOTI GEOGRAFIS UNTUK DATA BALITA GIZI BURUK." Indonesian Journal of Statistics and Its Applications 4, no. 3 (2020): 484–97. http://dx.doi.org/10.29244/ijsa.v4i3.684.

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Geographic weighted regression (GWR) is one of the regression methods for spatial data. GWR with the response variable following the poisson distribution can use the geographic weighted poisson regression (GWPR). GWPR often does not complete the assumption of dispersion. The classic approach commonly used to overcome overdispersion is related to poisson distribution, which is the approach obtained from poisson and gamma distribution which is similar to negative binomial distribution function. GWR for the response variable following the negative binomial distribution can use the geographical we
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19

Gberikon, G. M., I. I. Adeoti, and I. O. Ogbonna. "Single and Synergistic Effects of Solar Radiation, Water guard and Moringa oleifera Treatments on Bacterial Loads and Physicochemical Parameters of Surface Water in Umur and Bele Streams of Benue State." International Journal of Applied Sciences and Biotechnology 6, no. 3 (2018): 244–51. http://dx.doi.org/10.3126/ijasbt.v6i3.21176.

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Bacteriological profiles of surface water samples treated with solar radiation, Moringa oleifera powder and water guard was carried out to ascertain their effectiveness in water treatment. Bacterial loads of the surface water collected from Umur and Bele streams in Gwer East Local Government area samples were determined before and after treatments and characterised using biochemical and molecular methods. Single and synergistic effects of these treatments on water quality were also examined. Bacteriological analysis showed that Umur stream had the highest bacterial loads of 4.47 x 103 cfu/mL w
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20

Mondiana, Yani Quarta, Henny Pramoedyo, Atiek Iriany, and Marjono. "Applied fixed effect of Geographically Weighted Panel Regression (GWPR) with M- Estimator approach to estimate sugarcane yield data in East Java." Journal of Applied and Natural Science 16, no. 2 (2024): 646–52. http://dx.doi.org/10.31018/jans.v16i2.5443.

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Geographically Weighted Panel Regression (GWPR), a combination of panel regression and geographically weighted regression (GWR), is used to analyze panel data and capture diverse relationship between locations. GWPR was developed on data with panel-fixed effects and applied to modeling data with spatial heterogeneity and time series. One method for estimating parameters in the GWPR is weighted least squares (WLS), which are sensitive to outliers. The present study aimed to use the M- method to estimate GWPR model parameters in data containing outliers using fixed-effect GWPR modeling for the s
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Warsito, Budi, Hasbi Yasin, Dwi Ispriyanti, and Arief Rachman Hakim. "The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data." E3S Web of Conferences 73 (2018): 12006. http://dx.doi.org/10.1051/e3sconf/20187312006.

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Geographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Model (FEM). Parameter estimation in GWPR is obtain by Weighted Least Squares (WLS) methods and the resulting model for each location will be different from one to another. This study will compare the fixed-effect GWPR model with several weighting functions. The best model is determined based on the big
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Raihani, Risti, Sifriyani Sifriyani, and Surya Prangga. "Geographically Weighted Panel Regression Modelling of Dengue Hemorrhagic Fever Data Using Exponential Kernel Function." JTAM (Jurnal Teori dan Aplikasi Matematika) 7, no. 4 (2023): 961. http://dx.doi.org/10.31764/jtam.v7i4.16235.

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Geographically Weighted Panel Regression (GWPR) model is a panel regression model applied to spatial data. This research takes the Fixed Effect Model (FEM) panel regression as the global model and GWPR as the local model for dengue hemorrhagic fever (DHF) in East Kalimantan Province data over the years 2018-2020. DHF is a disease that has the potential to become an extraordinary event which is accompanied by death. In comparison to Indonesia, East Kalimantan Province's DHF Incident Rate (IR) was high in 2020. East Kalimantan's IR is 60.6 per 100,000 population, compared to Indonesia's IR of 40
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Iriany, Atiek, Wigbertus Ngabu, Danang Arianto, and Arditama Putra. "CLASSIFICATION OF STUNTING USING GEOGRAPHICALLY WEIGHTED REGRESSION-KRIGING CASE STUDY: STUNTING IN EAST JAVA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 1 (2023): 0495–504. http://dx.doi.org/10.30598/barekengvol17iss1pp0495-0504.

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Geographically Weighted Regression Kriging (GWRK) is a special case of Geographically Weighted Regression (GWR) model, which is modeling with the effect of spatial autocorrelation on the GWR model error. The purpose of this research is to obtain a GWRK model between the factors that affect stunting density for each site viewed from the district center point in East Java Province and to make a prediction map based on the GWRK modeling. The data used was obtained from Basic Health Research (RISKESDAS) and the East Java Health Profile Book for 2021. The units of observation in this study were 38
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Miranda, Adelia, Suyitno Suyitno, and Meirinda Fauziyah. "Modelling the Probability of River Water Pollution Using Geographically Weighted Logistic Regression Model (Case Study: River Water DO Data in East Kalimantan)." Jurnal Matematika, Statistika dan Komputasi 21, no. 2 (2025): 408–30. https://doi.org/10.20956/j.v21i2.40346.

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Geographically Weighted Logistic Regression (GWLR) is a local binary logistic regression model, and it’s applied to the spatial heterogeneity data. The parameter estimation of GWLR model in this study uses Maximum Likelihood Estimation (MLE) method, and it’s conducted at each observation location with spatial weighting. The spatial weight in this study was calculated using the adaptive tricube function. The spatial weighting function depends on distance between observation location and bandwidth, where the determination of optimal bandwidth uses the Akaike Information Criterion (AIC). The aim
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25

Jerie, S. "Analysis of Institutional Solid Waste Management in Gweru, Zimbabwe." Eastern Africa Social Science Research Review 22, no. 1 (2006): 103–25. http://dx.doi.org/10.1353/eas.2006.0004.

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Ananda, Ni Made Shantia, Suyitno Suyitno, and Meiliyani Siringoringo. "Geographically Weighted Panel Regression Modelling of Human Development Index Data in East Kalimantan Province in 2017-2020." Jurnal Matematika, Statistika dan Komputasi 19, no. 2 (2023): 323–41. http://dx.doi.org/10.20956/j.v19i2.23775.

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Geographically Weighted Panel Regression (GWPR) model is a panel regression model applied on spatial data. This research applied Fixed Effect Model (FEM) on panel regression as the global model and GWPR as the local model for Human Development Index (HDI) regencies/municipalities in East Kalimantan Province data over the years 2017-2020. The aim of this research is to obtain the GWPR model of HDI data, as well as to acquire factors that influence it. The parameter of GWPR model was estimated on each observation location using the Weighted Least Square (WLS) method, namely Ordinary Least Square
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27

Rembiszewska, Dorota Krystyna. "Projekt i realizacja bazy do „Atlasu gwar wschodniosłowiańskich Białostocczyzny”." Studia z Filologii Polskiej i Słowiańskiej 49 (December 31, 2014): 130–38. http://dx.doi.org/10.11649/sfps.2014.013.

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Project and realization of database for the "Atlas of East Slavic dialects of Bialystok Region”The article presents issues concerning the project of creation of the Atlas of East Slavic dialects of Bialystok Region (Atlas gwar wschodniosłowiańskich Białostocczyzny – AGWB) and its realization. The crucial issues are shown from linguistic, information and computer points of view, taking into account the special features of dialectal material. Information referring to the Atlas of East Slavic dialects of Bialystok Region, a publication significant for Slavic linguistic geography, is also presente
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28

Shafa Salsabila and Desie Rahmawati. "Geographically weighted regression in malnourished toddlers with adaptive kernel bi-square weighting." World Journal of Advanced Research and Reviews 18, no. 1 (2023): 1042–47. http://dx.doi.org/10.30574/wjarr.2023.18.1.0704.

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Spatial data modeling cannot use linear regression due to the presence of unfulfilled assumptions, namely heteroscedasticity. One of the modeling that can be done is Geographically Weighted Regression (GWR) with weighting, one of which is Adaptive Kernel Bi-square. This study aims to prove that the GWR Adaptive Kernel Bi-square model can analyze and interpret factors that have a significant effect on cases of malnourished toddlers in East Java Province. This study used GWR Adaptive Kernel Bi-square analysis using secondary data on the Health Profile of East Java Province in 38 districts/cities
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Shafa, Salsabila, and Rahmawati Desie. "Geographically weighted regression in malnourished toddlers with adaptive kernel bi-square weighting." World Journal of Advanced Research and Reviews 18, no. 1 (2023): 1042–47. https://doi.org/10.5281/zenodo.8179032.

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Spatial data modeling cannot use linear regression due to the presence of unfulfilled assumptions, namely heteroscedasticity. One of the modeling that can be done is Geographically Weighted Regression (GWR) with weighting, one of which is Adaptive Kernel Bi-square. This study aims to prove that the GWR Adaptive Kernel Bi-square model can analyze and interpret factors that have a significant effect on cases of malnourished toddlers in East Java Province. This study used GWR Adaptive Kernel Bi-square analysis using secondary data on the Health Profile of East Java Province in 38 districts/cities
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Asghar-Ali, Ali. "The South East Texas Geriatric Workforce Enhancement Program: Reach, Teach, Innovate." Innovation in Aging 5, Supplement_1 (2021): 30. http://dx.doi.org/10.1093/geroni/igab046.110.

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Abstract Through collaboration between academic and community partners, the South East Texas Geriatric Workforce Enhancement Program (SETx GWEP) aims to promulgate the 4Ms framework via a range of educational initiatives. The faculty and audience is interprofessional and diverse, representing the residents of South East Texas. Specific initiatives focus on Alzheimer’s disease and related dementias, elder abuse, geriatric mental health, patient priorities, transitions of care, and geriatric dental care. Training modalities include online modules, Project ECHO sessions, webinars, discussion foru
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Agusta, Madania Tetiani, Bagus Sartono, and Anik Djuraidah. "Evaluation of Spatial Approaches of Poverty in East Java." Journal of Mathematics, Computations and Statistics 8, no. 1 (2025): 187–98. https://doi.org/10.35580/jmathcos.v8i1.7663.

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Geographically Weighted Regression (GWR) is the most frequently used for spatial modeling. GWR produces local model parameter estimates for each observed point. Unfortunately, GWR is known to be numerically unstable and can produce extreme coefficient estimates. Spatially Clustered Regression (SCR) and Spatially Constrained Clusterwise Regression (SCCR) are new approaches that combine cluster identification and regression estimation in one stage. This research evaluates these approaches to develop poverty alleviation in East Java with the largest number of poor people in rural areas as per Mar
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Ridhawati, Ridhawati, Suyitno Suyitno, and Wasono Wasono. "Model Geographically Weighted Poisson Regression (GWPR) dengan Fungsi Pembobot Adaptive Gaussian." EKSPONENSIAL 12, no. 2 (2021): 143. http://dx.doi.org/10.30872/eksponensial.v12i2.807.

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The Geographically Weighted Poisson Regression (GWPR) Model is a regression model developed from Poisson regression or a local form of Poisson regression. The GWPR model generates a local model parameter estimator at each observation location where the data is collected and assumes the data is Poisson distributed. The estimation of GWPR model parameters uses the Adaptive Gaussian weighting function by determining the optimum bandwidth using GCV criteria. Based on the GWPR model, it is found that the factors that influence the maternal mortality rate (MMR) data in 24 districts (cities) of East
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ANJAS A, MOCH, I. KOMANG GDE SUKARSA, and I. PUTU EKA NILA KENCANA. "PENERAPAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA KASUS PENYAKIT PNEUMONIA DI PROVINSI JAWA TIMUR." E-Jurnal Matematika 8, no. 1 (2019): 27. http://dx.doi.org/10.24843/mtk.2019.v08.i01.p231.

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Geographically weighted regression (GWR) analysis is an analysis to resolve the problem with data contains effect of spatial heterogeneity. One of the problems which considers spatial heterogeneity is pneumonia. Pneumonia is spread of disease as cause of infants’ and toddlers’ death. One of the provinces with the largest of pneumonia is East Java. The purpose of this research is modeling of pneumonia in East Java using GWR method. The results of this research showed factors dominant and significantly of pneumonia in East Java, those factors are households of PHBS and present of measles immuniz
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Saifudin, Toha, Leni Sartika Panjaitan, Sabrina Falasifah, and Yan Dwi. "Application of Geographically Weighted Logistic Regression in Modeling the Human Development Index in East Java." Jurnal Aplikasi Statistika & Komputasi Statistik 16, no. 1 (2024): 43–57. http://dx.doi.org/10.34123/jurnalasks.v16i1.587.

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Main Objectives: pinpoint the factors influencing HDI, taking into consideration location and spatial factors. Problems: The Human Development Index (HDI) in East Java often fails to reflect actual conditions accurately, as disparities exist among districts and cities, with some falling below government expectations. Novelty: GWLR extends logistics regression by incorporating spatial factors, allowing for the identification of regional differences and influential factors affecting HDI based on actual data. Methods: To address this issue, the Geographically Weighted Logistic Regression (GWLR) m
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35

Mhlahlo, Samson Rwadzi. "Assessment of Urban Governance in Zimbabwe: Case of the City of Gweru." Eastern Africa Social Science Research Review 23, no. 1 (2007): 107–28. http://dx.doi.org/10.1353/eas.2007.0003.

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Fadliana, Alfi, Henny Pramoedyo, and Rahma Fitriani. "IMPLEMENTATION OF LOCALLY COMPENSATED RIDGE-GEOGRAPHICALLY WEIGHTED REGRESSION MODEL IN SPATIAL DATA WITH MULTICOLLINEARITY PROBLEMS (Case Study: Stunting among Children Aged under Five Years in East Nusa Tenggara Province)." MEDIA STATISTIKA 13, no. 2 (2020): 125–35. http://dx.doi.org/10.14710/medstat.13.2.125-135.

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East Nusa Tenggara Province, according to the findings of 2013 Baseline Health Research and 2016 and 2017 Nutritional Status Surveys, was recorded as the province with the highest prevalence of stunting in Indonesia. Efforts should be made to formulate policies that are integrated with spatial aspects in order to reduce the prevalence of stunting. The LCR-GWR model approach is used by using locally compensated ridge, which were meant to adjusts to the effect of collinearity between predictor variables (i.e., the factors affecting the prevalence of stunting) in each area. Results of the analysi
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FATIMAH, EVI NOVIYANTARI, I. KOMANG GDE SUKARSA, and MADE SUSILAWATI. "PEMODELAN RISIKO PENYAKIT PNEUMONIA PADA BALITA DI PROVINSI JAWA TIMUR DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION." E-Jurnal Matematika 4, no. 2 (2015): 31. http://dx.doi.org/10.24843/mtk.2015.v04.i02.p085.

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This research is aim to determine the comparison of logistic regression models and models Geographically Weighted Logistic Regression and the factors that significantly affect the risk of pneumonia in toddlers in East Java Province. Logistic regression is a statistical analysis that is used to describe the response variable is categorical with the independent variables are categorical or continuous. The main problem of this method if it’s applied in data that is affected of geographic location or spatial data. One of many method to solve the spatial data is Geographically Weighted Logistic Reg
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Marcella Gloria Leto Bele, Elvira Mustikawati Putri Hermanto, and Fenny Fitriani. "Pemodelan Geographically Weighted Regression pada Kasus Stunting di Provinsi Nusa Tenggara Timur Tahun 2020." Jurnal Statistika dan Aplikasinya 6, no. 2 (2022): 179–91. http://dx.doi.org/10.21009/jsa.06204.

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Stunting or short toddlers is one of the problems that Indonesia is currently facing. Based on data from the Indonesia Health Profile in 2020, the highest prevalence of stunting in Indonesia in 2020 was in the East Nusa Tenggara Province. The occurrence of stunting in each district/city has the possibility of having different characteristics from one region or another which is referred to as regional heterogeneity or spatial heterogeneity. This research was conducted to determine the factors that influence stunting cases in each district/city of East Nusa Tenggara Province. This research uses
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Rahmawati, Novi, Faldianus Karno, and Elvira Mustikawati Putri Hermanto. "Analisis Penyakit Tuberkulosis (TBC) pada Provinsi Jawa Timur Tahun 2021 Menggunakan Geographically Weighted Regression (GWR)." Indonesian Journal of Applied Statistics 6, no. 2 (2024): 116. http://dx.doi.org/10.13057/ijas.v6i2.78593.

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&lt;p dir="ltr"&gt;&lt;span&gt;Tuberculosis (TB) is an infectious disease with the highest mortality rate in the world. In East Java, TB cases will experience a significant increase in 2021. This study uses the Geographically Weighted Regression (GWR) method to analyze the variables that affect TB cases in East Java that year. The variables used are the number of TB cases, the number of smokers, the number poor population, and population density. The GWR results show that the number of poor people has a significant effect on all districts/cities in East Java. Meanwhile, population density has
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Maryani, Herti, Lusi Kristiana, and Dinda Galuh Guminta. "Pemodelan Spasial Kasus Kematian Akibat Covid-19 di Provinsi Jawa Timur Tahun 2020." JI-KES (Jurnal Ilmu Kesehatan) 6, no. 1 (2022): 65–75. http://dx.doi.org/10.33006/ji-kes.v6i1.412.

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AbstrakProvinsi Jawa Timur merupakan provinsi yang mempunyai jumlah kasus kematian yang tinggi dibanding dengan provinsi lain di Indonesia. Tujuan penelitian adalah melakukan pemodelan kematian akibat Covid-19 di Provinsi Jawa Timur pada tahun 2020, menggunakan analisis Geographically Weighted Regression (GWR). Analisis GWR merupakan pengembangan dari regresi linier dengan parameter model yang berbeda di setiap pengamatan (wilayah). Data yang dianalisis adalah data sekunder dari Dinas Kesehatan Provinsi Jawa Timur dan Badan Pusat Statistik (BPS) Provinsi Jawa Timur. Jumlah kematian akibat cov
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Yusuf, Dessy Wulandari Syahputri, Elvira Mustikawati Putri Hermanto, and Wara Pramesti. "PEMODELAN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA PERSENTASE KRIMINALITAS DI PROVINSI JAWA TIMUR TAHUN 2017." Indonesian Journal of Statistics and Its Applications 4, no. 1 (2020): 156–63. http://dx.doi.org/10.29244/ijsa.v4i1.557.

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Crime is everything that exists in Indonesia. Based on BPS data in 2018, East Java Province ranks first in the Province of North Sumatra and the Special Capital Region of Jakarta. This research was conducted to determine the factors that support crime in each Regency / City of East Java Province. The method used in this research is Weighted Geographic Regression (GWR). Geographically Weighted Regression (GWR) is one of the statistical methods used to model variable responses with regional or area-based predictor variables. Based on the GWR results, it is recognized as a variable Population Den
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Briguglio, Lino, and Stephen Piccinino. "Growth with Resilience in East Asia and the 2008–2009 Global Recession." Asian Development Review 29, no. 02 (2012): 183–206. http://dx.doi.org/10.1142/s0116110512500175.

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This paper assesses why the 2008–2009 global economic recession impacted East Asia less than it did the United States (US) and the European Union (EU). The paper utilizes a “growth-with-resilience” (GWR) index aimed at measuring the extent to which a country can absorb or counteract external shocks and at the same time promote economic growth. The main findings show higher GWR index scores for East Asia compared to those for the EU and the US, which may explain why the global recession had a milder impact on the region. The study also shows East Asia as being very heterogeneous, with major dif
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Azkiya, Azka Al, Yenni Angraini, and Rahma Anisa. "Penerapan Geographically Weighted Panel Regression dan Data Envelopment Analysis dalam Pemodelan Kemiskinan di Kalimantan Timur." Journal of Regional and Rural Development Planning 8, no. 1 (2024): 41–53. http://dx.doi.org/10.29244/jp2wd.2024.8.1.41-53.

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Indonesia currently still needs to focus on achieving sustainable development goals agreed by all countries in the world. Indonesia presently ranks 82nd out of 163 nations in terms of SDG accomplishment, indicating that there is still plenty of potential for improvement. One of the goals that hasn't been accomplished is ‘no poverty’. Regarding the poverty cases, among all province in Indonesia, East Kalimantan is important to be analyzed, because Penajam Paser Utara and Kutai Kartanegara in East Kalimantan are scheduled to become Indonesia's next capital, Nusantara. The goal of this research i
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Dziva, Cowen, Didmus Dewa, and Princess Khumalo. "Recurrent Male-To-Female Partner Violence in Mkoba High Density Suburb of Gweru Town in Zimbabwe." Eastern Africa Social Science Research Review 36, no. 2 (2020): 35–52. http://dx.doi.org/10.1353/eas.2020.0011.

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Ningrum, Diah Puspita, Toha Saifudin, Suliyanto Suliyanto, and Nur Chamidah. "Tuberculosis Modeling in East Java Based on Geographically Weighted Regression Approach." Jurnal Matematika, Statistika dan Komputasi 19, no. 1 (2022): 19–32. http://dx.doi.org/10.20956/j.v19i1.21262.

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Tuberculosis is the 13th trigger of death causes around the world. Even after Covid-19, tuberculosis ranks 2nd as a contagious killer disease. In 2020, Indonesia ranks 2nd out of 8 countries with the highest contributor to tuberculosis sufferers after India. East Java Province is the region with the largest number of tuberculosis cases in order of 8. Tuberculosis cases in East Java in 2020 have decreased, but when viewed from the success rate of treatment of tuberculosis cases per district/city in East Java, it was found that 53% still did not meet the target of 90%. According to (World Health
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Nurhuda, Imanudin, and I. Gede Nyoman Mindra Jaya. "Pemodelan Kriminal di Jawa Timur dengan Metode Geographically Weighted Regression (GWR)." Jurnal Matematika "MANTIK" 4, no. 2 (2018): 150–58. http://dx.doi.org/10.15642/mantik.2018.4.2.150-158.

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Criminality constitutes all kinds of actions that are economically and psychologically harmful in violation of the law applicable in the state of Indonesia as well as social and religious norms, while the criminal data is the number of cases reported to the police institution. The higher the number of complainants the higher the number of criminals in the region. The greater the risk the community represents the more insecure a region is. This study aims to obtain the best model affecting crime or crime in East Java. The number of crimes in this study is limited to the number of theft cases (w
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Kondratiuk, Michał. "O współpracy zespołu Pracowni Filologii Białoruskiej IS PAN z prof. Władysławem Kuraszkiewiczem w zakresie badania gwar." Poznańskie Studia Polonistyczne. Seria Językoznawcza 25, no. 1 (2018): 241–51. http://dx.doi.org/10.14746/pspsj.2018.25.1.14.

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The article shows the role of Prof. Władysław Kuraszkiewicz in creating and developing Byelorussian investigations in Poland after World War II. In the interwar period he investigated Russian dialects in Podlasie, Polesie and Helm Regions. In 1937 he was the first to collect rich dialectae materials in 70 villages between the Bug and the Narew Rivers, which he published in 1939 The Outline of east-slavonic dialectology with examples of dialectal texts, and edition, Warsaw 1963, made him famous. Prof. Kuraszkiewicz was the reviewer of the first three volumes of the Atlas of East Slavonic Dialec
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Meliyana, Sitti Masyitah, R. Rusli, and Abdul Rahman. "Geographically Weighted Regression with Bi-Square Kernel Weights for Life Expectancy Data in East Java Province." ARRUS Journal of Mathematics and Applied Science 4, no. 2 (2024): 56–62. https://doi.org/10.35877/mathscience3396.

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This study explores the application of Geographically Weighted Regression (GWR) using a Bi-Square Kernel weighting function to analyze life expectancy data across East Java Province. By incorporating spatial heterogeneity, the GWR model provides more accurate and localized insights compared to traditional global regression models. The results indicate significant spatial variability in the effects of poverty rate, healthcare facilities, sanitation, health complaints, and immunization coverage on life expectancy. Based on the analysis of life expectancy estimates in regencies/cities of East Jav
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Meylin, A., N. A. Aprilianti, D. Lestari, and Nur Chamidah. "Modeling of Incident Status Dengue Fever in East Nusa Tenggara Using Geographically Weighted Logistic Regression Approach." Contemporary Mathematics and Applications (ConMathA) 2, no. 2 (2020): 118. http://dx.doi.org/10.20473/conmatha.v2i2.23856.

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Dengue fever is a disease caused by one of the four dengue viruses and this disease is an infectious disease that is spread through the bite of the Aedes Aegypti mosquito. When compared with the number of dengue cases in previous years, East Nusa Tenggara (NTT) was one of the provinces that experienced an increase in the number of dengue cases in the last three years. Previous research states that the transmission of dengue fever is caused by several factors, one of which is environmental factors of geographical location so that spatial aspects need to be involved in this study. A the statisti
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Mhlahlo, Samson Rwadzi. "The Problem of Housing Affordability, and its Economic and Social Effect on the City of Gweru, Zimbabwe." Eastern Africa Social Science Research Review 21, no. 2 (2005): 39–52. http://dx.doi.org/10.1353/eas.2005.0007.

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