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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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Stephen, Kwaghsaa Kwaghkohol. "Assessment of Ground Water Quality in Naka Town, Gwer-West Local Government Area of Benue State, Nigeria." International Journal of Research Publication and Reviews 6, no. 3 (2025): 7191–294. https://doi.org/10.55248/gengpi.6.0325.12128.

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Ngibo, Msughve Thaddeaus. "Non-Governmental Organizations and the Management of Internally Displaced Persons in Benue State." INTERNATIONAL JOURNAL OF SOCIAL SCIENCE HUMANITY & MANAGEMENT RESEARCH 04, no. 03 (2025): 466–80. https://doi.org/10.5281/zenodo.15011412.

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The main objective of the study is to examine the role of non-governmental organizations in the management of Internally Displaced Persons in Benue State. The study is anchored on Structural Functionalist Theory as the theoretical framework. The study is an action research design. The study is based on qualitative data. It collects data through primary and secondary sources. The primary data was obtained using Key Informant Interview (KII) and Focus Group Discussion (FGD). The KII was used to obtain rich and detailed data from selected participants, while the FGD was used to obtain data based
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M.O, Agada, Jiriko R, and Nongu S. A. "Youth Participation in Sesame Production in Gwer West Local Government Area of Benue State, Nigeria." International Journal of Sustainable Agricultural Research 7, no. 3 (2020): 109–17. http://dx.doi.org/10.18488/journal.70.2020.73.109.117.

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Sarwuan Agbidye, Francis. "Beekeeping Practice and Forest Conservation in Gwer-West Local Government Area of Benue State, Nigeria." Agriculture, Forestry and Fisheries 4, no. 5 (2015): 222. http://dx.doi.org/10.11648/j.aff.20150405.14.

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AHOO, Terhile Jude, and Michael Christopher ERAYE. "FINANCIAL INCLUSION AND CRIME REDUCTION IN GWER WEST LOCAL GOVERNMENT AREA OF BENUE STATE - NIGERIA." Gusau Journal of Sociology 4, no. 3 (2025): 218–38. https://doi.org/10.57233/gujos.v4i3.12.

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Financial inclusion (FI) entails access to and use of financial services by all members of society. It is an essential component for sustainable development and social stability. FI strengthens household economies and reduces economic vulnerabilities, providing viable opportunities for empowerment and security. However, financial exclusion remains a nagging problem in developing economies like Nigeria where about 68% of adults lack access to financial services, opportunities and products. The situation is perceived to have worsened the multi-dimensional social, economic, and political challeng
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Time, I., J. O. Nwogwugwu, and A. A. Batcho. "Incidence of Maize Streak Disease in Maize Cultivated During Late Cropping Season in Three Agricultural Zones of Benue State, Nigeria." Journal of Applied Sciences and Environmental Management 24, no. 8 (2020): 1441–46. http://dx.doi.org/10.4314/jasem.v24i8.20.

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Maize, an important staple crop is emerging as cash crop particularly for smallholder farmers in Nigeria. This paper evaluates the frequency of maize streak disease on maize sown during late cropping season in three agricultural zones of Benue State, with three maize cultivars; Super 98, Obasuper 1 and a local cultivar at the University of Agriculture Makurdi Research Farm using standard methods. Maize plots were sampled for streak disease from July to November. Data were analysed using descriptive statistics and ANOVA with means separated using FLSD(p=0.05). Spread of maize streak was low (&l
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Atsuwe, Bernard A., and Thaddeus T. Mtoh. "Effect of Cognitive Style on Students Achievement and Retention in Physics in Senior Secondary School in Gwer-West Local Government Area, Benue State, Nigeria." International Journal of Advance Research and Innovation 7, no. 2 (2019): 1–10. http://dx.doi.org/10.51976/ijari.721901.

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This study was undertaken to determine the effect of cognitive styles on students’ achievement and retention in physics in senior secondary schools in Gwer-west local government area of Benue state. The study therefore looked at the achievement and retention of male and female students categorized under field independent and field dependent students in physics. Three research questions and three research hypotheses were set to obtain data for effective study. The study adopted the ex-post facto research design. The population of the study comprises 1015 SS1 physics students of 2016/2017 academ
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Ahoo, Terhile Jude. "Culture and the Education of Female Children in Gwer West Local Government Area of Benue State." Ianna Journal of Interdisciplinary Studies 1, no. 1 (2019): 43–55. https://doi.org/10.5281/zenodo.10500471.

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Abstract <strong>Background:</strong>&nbsp;Education is a fundamental right of all children and &nbsp;indispensable to societal transformation. Currently, there is increased enrolment of female children into schools. However, preliminary studies have failed to clearly outline the role which culture is playing in driving this change. <strong>Objectives:</strong>&nbsp;The study sought to: examine attitudes towards the education of female children; find out cultural changes affecting the education of female children; and determine the effects of girl-child education on the development of Gwer Wes
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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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12

M.I., Kuleve, Yaakugh B.J., Dafur G.S., et al. "Distribution Of Urinary Schistosomiasis Among School Children Aged 6 – 17 Years In Naka, Gwer West Lga Of Benue State, Nigeria." International Journal of Research Publication and Reviews 5, no. 10 (2024): 2074–80. http://dx.doi.org/10.55248/gengpi.5.1024.2814.

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Gabriel, Ogbeyi Ofikwu, Jenewari Atiye Joseph, Ogbeyi Aba Francis, Afolaranmi O. Tolulope, Aba John Paul, and Ikpom Terhemba Emmanuel. "Predictors of hepatatis B prevention and awareness among barbers in Gwer West Local Government area, Benue state, Nigeria." International Journal of Research in Medical Sciences 9, no. 6 (2021): 1538. http://dx.doi.org/10.18203/2320-6012.ijrms20212219.

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Background: The rapid increase in the prevalence of hepatitis B virus infection is an important public health issue worldwide. Millions of the general population is at an increased risk of being infected but they lack the awareness and preventive measures against this infection. This study was carried out among barbers in Naka, Gwer West Local Government area of Benue state, to determine the predictors of awareness and preventive measures against hepatitis B. Methods: A cross sectional descriptive study involving all barbers in Naka were carried out. Structured interviewer administered questio
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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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Egharevba, Jolly Osaretin, and Prince Osarobo Edohen. "Off-farm Employment: A Panacea for Increased Agricultural Productivity of Farm Owners in Gwer West Local Government Area, Benue State, Nigeria." JOURNAL OF THE GEOGRAPHICAL ASSOCIATION OF TANZANIA 44, no. 2 (2024): 34–52. https://doi.org/10.56279/jgat.v44i2.304.

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In developing countries, off-farm employment is regarded as a supplementary or complimentary sub-sector that engages farmers in either off-season or on-season production cycle. This paper investigates off-farm employment as a panacea for increasing agricultural productivity of farm owners in Gwer West Local Government Area, Benue State, Nigeria. Primary and secondary data were employed. Purposive sampling was used in the selection of four communities, while household farmers were selected using systematic sampling. 380 copies of questionnaire were administered. Frequency counts and simple perc
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Adrian, Ferry, Yundari Yundari, and Siti Aprizkiyandari. "GEOGRAPHICALLY WEIGHTED RIDGE REGRESSION MODELING AT THE OPEN UNEMPLOYMENT RATE IN WEST KALIMANTAN." Jurnal Diferensial 5, no. 2 (2023): 83–95. http://dx.doi.org/10.35508/jd.v5i2.12063.

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Geographically Weighted Ridge Regression (GWRR) is a development of ridge regression by adding a weighting element as additional information. GWRR is used to overcome spatial data containing local multicollinearity by modifying the ridge regression and GWR. The purpose of this study was to construct the GWRR model and analyze the effectiveness of the GWRR model in overcoming multicollinearity problems in spatial data. The research data used consists of response variables, namely the value of the open unemployment rate $(Y)$ in districts/cities of West Kalimantan Province in 2021 and the explan
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18

DAODU, Folashade Florence, Terwase SHABU, Tracy Iveren KILE, and Joseph ENEFU. "Humanitarian Crises in Internally Displaced Persons (IDP’s) Camps in Benue State, Nigeria: A Comprehensive Analysis." International Journal of Research and Innovation in Social Science VIII, no. V (2024): 2282–98. http://dx.doi.org/10.47772/ijriss.2024.805166.

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Internally Displaced Persons (IDPs) in Benue state, Nigeria face an escalating humanitarian crisis, marked by persistent conflict, forced displacement, and inadequate living conditions. This study examined the humanitarian crises in IDP’s (internally displaced persons) camps in Benue state, Nigeria based on the persistent herdsmen-farmers conflict resulting to displacement of people to camps. The study examined the multifaceted challenges experienced by IDPs in Benue state, Nigeria, addressing the root causes, prevailing conditions, and the response mechanisms in place. A total of 12 IDPs camp
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19

Adoga, Sunday Ogakwu, Ogbene Gillian Igbum, Glory Okopi, Barnabas Aloo Ikyenge, Okwori Isaacs Ochi, and Patrick Ode. "Catalytic pyrolysis of low density polyethylene and polypropylene wastes to fuel oils by N-clay." Ovidius University Annals of Chemistry 33, no. 1 (2022): 50–55. http://dx.doi.org/10.2478/auoc-2022-0007.

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Abstract Dealing effectively with plastic wastes has been a major global challenge. Different methods have been previously employed to proffer solution to plastic wastes problem however, all showed their energetic, economic and environmental implications. In this research, catalytic pyrolysis of low density polyethylene and polypropylene wastes was carried out to proffer solution to the problem. The plastic materials were collected and appropriately prepared after which ultimate and proximate analysis was carried out on them. The clay was collected from Naka, Gwer West Local Government Area of
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20

Ketut, Ananda Kuvera Witana, Susilawati Made, Luh Putu Suciptawati Ni, Ayu Dwi Octavanny Made, Yuliarum Qur'ani Anggun, and Putu Eka Nilakusmawati Desak. "Modelling Mean Years of Schooling (MYS) Districts/Cities of West Kalimantan Province." International Journal of Social Science and Human Research 07, no. 06 (2024): 3605–13. https://doi.org/10.5281/zenodo.11444695.

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Mean years of schooling (MYS) is one of the indicators measuring the quality of education in Indonesia, regulated through the nine-year compulsory education policy. West Kalimantan Province is one of the provinces with the lowest MYS rates in Indonesia, with only one out of its 13 districts/cities fulfilling the compulsory education policy. Therefore, research is needed to obtain the best model and understand the factors that influence the MYS districts/cities of West Kalimantan Province. This study uses the Geographically Weighted Panel Regression (GWPR) analysis method, due to the annual cha
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Darma putra, Jimmi, Dina Fitria, Dodi Vionanda, and Admi Salma. "Geographically Weighted Panel Regression for Modeling The Percentage of Poor Population in West Sumatra." UNP Journal of Statistics and Data Science 1, no. 3 (2023): 211–17. http://dx.doi.org/10.24036/ujsds/vol1-iss3/64.

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Geographically Weighted Panel Regression (GWPR) model applies panel regression to spatial data, and parameter estimation is carried out using spatial weight at each observation point. The purpose of this study is to determine the GWPR model and the factors that influence the percentage of poor people in each district/city in West Sumatra Province from 2015 to 2021. And the adaptive bisquare kernel function was used to provide spatial weighting, and Cross-Validation (CV) criteria were used to identify the optimal bandwidth. The research data was secondary data sourced from the official website
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Amelia Fadila Rahman, Syafriandi Syafriandi, Nonong Amalita, and Zilrahmi. "Geographically Weighted Panel Regression Modeling on Human Development Index in West Sumatra." UNP Journal of Statistics and Data Science 1, no. 3 (2023): 232–39. http://dx.doi.org/10.24036/ujsds/vol1-iss3/63.

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The Human Development Index (HDI) is an important issue that has a negative impact on the field of human development and people's welfare in West Sumatra Province. An effort to overcome the problem of the HDI is to identify the influencing factors. A method that can be used to identify influencing factors and explain the influence of characteristic areas of observation is Geographically Weighted Panel Regression (GWPR). GWPR is a combination of panel data regression method with GWR which is used when the data has the influence of spatial heterogeneity. The purpose of this study is to form a GW
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Anjani, Syarli Dita, Widiarti, Bernadhita Herindri Samodera Utami, Mustofa Usman, and Vitri Aprilla Handayani. "Georaphically Weighted Ridge Regression Modelling on 2023 Poverty Indicators Data in the Provinces of West Kalimantan and Central Kalimantan." Integra: Journal of Integrated Mathematics and Computer Science 1, no. 3 (2024): 73–80. https://doi.org/10.26554/integrajimcs.20241320.

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Regression analysis is a method to explain the relations between independent variables and a dependent variable. Linear regression analysis relies on certain assumptions, one of the assumption is homogeneity. However, there is a situation when the variance at each observation differs or called spatial heterogeneity.This issue can be solved using Geographically Weighted Regression (GWR), a statistical method that can be fixed spatial heterogeneity by adding a local weighted matrix, the result in GWR model is a local model for each observation point. However, GWR has a limitation, it cannot hand
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I.U., Patrick, and Terungwa P.J.J. "Socio-Economic Consequences of Conflict: The Predicament of Internally Displaced Persons in Benue State." African Journal of Social Sciences and Humanities Research 5, no. 5 (2022): 10–26. http://dx.doi.org/10.52589/ajsshr-za1boplm.

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The main aim of the study was to examine the conditions of IDPs in Benue State, with other specific objectives. A data was collected from sample of 236,262 IDPs obtained from 3 official camps (Abagena in Makurdi, Gbajimba in Guma, and Anyiin in Logo) and 3 unofficial camps (Agatu, Gwer-West and Anyiin Community LGAs) out of the twenty-eight (6 official &amp; 22 un-official) IDP camps with a population of 483,693 IDPs. Primary data was sourced essentially through oral interviews and Focused Group Discussions (FGD). Secondary data was obtained from published sources. The qualitative analytical a
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Nasri, Ramadhoni, Nurul Gusriani, and Nursanti Anggriani. "GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) MODEL FOR POVERTY DATA IN WEST JAVA PROVINCE 2019-2021." Jurnal Diferensial 5, no. 2 (2023): 106–16. http://dx.doi.org/10.35508/jd.v5i2.12213.

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The problem of poverty in West Java shows a pattern that tends to be concentrated in adjacent areas, indicating spatial heterogeneity in the problem. On the other hand, poverty in West Java also shows an increasing trend from year to year so that dynamic changes occur in various regions. From this situation, it is necessary to know the factors that affect poverty spatially using panel data. One way is to model the poverty problem with the Geographically Weighted Panel Regression (GWPR) model. The GWPR model is the development of a regression model that combines Geographically Weighted Regressi
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Salsabila, Rizqia, Atus Amadi Putra, Nonong Amalita, and Fadhilah Fitri. "Analysis of Factors Influencing the Population Growth Rate in West Sumatra Using Geographically Weighted Logistic Regression." UNP Journal of Statistics and Data Science 1, no. 3 (2023): 196–202. http://dx.doi.org/10.24036/ujsds/vol1-iss3/59.

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The model of Geographically Weighted Logistic Regression (GWLR) was the development of a model of logistic regression that was implemented to data in spatial. GWLR model parameter estimation was carried out at each location for observation using spatial weighting. The research purposes was to reveal the GWLR model on the dichotomous data of the Population Growth Rate (PGR) indicator in each Districts/Cities in West Sumatra in 2020 and learn more factors that influence the probability that the population growth rate will increase in 19 Districts/Cities in West Sumatra in 2020. The parameters es
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Meytiara, Mestika, and Anneke Iswani Achmad. "Geographically Weighted Poisson Regression dengan Fungsi Pembobot Kernel Gaussian untuk Pemodelan Jumlah Kematian Bayi di Jawa Barat pada Tahun 2019." Bandung Conference Series: Statistics 2, no. 2 (2022): 499–506. http://dx.doi.org/10.29313/bcss.v2i2.4769.

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Abstract. Regression analysis is a statistical analysis that aims to model the relationship between independent variables with dependent variables. If the independent variable is Poisson-distributed then the regression model used is Poisson regression. Geographically Weighted Poisson Regression (GWPR) is a local form of Poisson regression where the location of data collection is considered. In this study, Geographically Weighted Poisson Regression (GWPR) will be used to model the number of infant mortality in West Java in 2019 using the Gaussian kernel weighting function. This study aims to ob
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Haq, Irvanal, Muhammad Nur Aidi, Anang Kurnia, and Efriwati Efriwati. "A COMPARISON OF LOGISTIC REGRESSION AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION (GWLR) ON COVID-19 DATA IN WEST SUMATRA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 3 (2023): 1749–60. http://dx.doi.org/10.30598/barekengvol17iss3pp1749-1760.

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An understanding of factors that affect the recovery time from a disease is important for the community, medical staff, and also the government. This research analyzed factors that affect the recovery time of Covid-19 sufferers in West Sumatra. In addition, the consumption of a herbal made from Sungkai leaves, which is believed by some people in West Sumatra to accelerate the healing from Covid-19, was also included in the analysis. The recovery time here was categorized into two classes (binary): 1 for within 2 weeks, and 0 for more than 2 weeks. The methods used were logistic regression and
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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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Nurpadilah, Winda, I. Made Sumertajaya, and Muhamad Nur Aidi. "Geographically Weighted Regression with Kernel Weighted Function on Poverty Cases in West Java Province." Indonesian Journal of Statistics and Its Applications 5, no. 1 (2021): 173–81. http://dx.doi.org/10.29244/ijsa.v5i1p173-181.

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Spatial regression analysis is a form of regression model that considers spatial effects. Geographically weighted regression (GWR) is the spatial regression methods that can be used to deal with the problem of spatial diversity. This method generates local model parameter estimates for each observation location. The application of spatial statistics can be done in all areas such as the problem of poverty. Poverty can be influenced by factors of proximity between regions, so that in determining the poverty factor, the proximity factor of the region cannot be ignored. West Java Province is a pro
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Darvill, Timothy, Geoffrey Wainwright, Vanessa Constant, Yvette Staelens, Anna Stocks, and Judith Wainwright. "Stone Circles, Oval Settings and Henges in South-west Wales and Beyond." Antiquaries Journal 83 (September 2003): 9–45. http://dx.doi.org/10.1017/s0003581500077660.

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Topographical and geophysical surveys carried out in August 2002 at three monuments in the Preseli Hills of Pembrokeshire are reported: Bedd Arthur, Gors Fawr and Meini Gwyr. Previously unrecorded features were revealed at all three sites, most spectacularly at Meini Gwyr which, from the evidence of geophysical survey, appears to be a multi-phase monument that includes a double pit-circle, hengi-form monument and embanked enclosure with an internal stone circle. Comparisons are made with plans prepared by Flinders Petrie in 1926, published here for the first time. A viewshed analysis of the su
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Deviani, Deviani, Baiq Yuliandita Wulandari, Askariyah Askariyah, Ika Julia Fitri, and Siti Hariati Hastuti. "ANALISIS SPASIAL BERBASIS PEMETAAN MENGGUNAKAN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA SEBARAN JUMLAH WISMA DI KABUPATEN LOMBOK BARAT." Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika 5, no. 2 (2024): 660–70. http://dx.doi.org/10.46306/lb.v5i2.545.

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This research aims to analyze the effect of population density, number of food stalls, and population on the number of homesteads using the Geographically Weighted Regression (GWR) model. GWR modeling is carried out based on spatial data using secondary data sourced from the Central Statistics Agency (BPS). First, multiple linear regression analysis was carried out to evaluate the relationship between variables. The results of multiple linear regression show that only the variable number of food stalls has a significant effect on the number of homesteads. Next, spatial aspects were tested, inc
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Yuliana, Alfa, and Achmad Fauzan. "SPATIAL MODELING OF MATERNAL HEALTH: GEOGRAPHICALLY WEIGHTED POISSON REGRESSION ON MATERNAL MORTALITY FACTORS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 1 (2025): 557–70. https://doi.org/10.30598/barekengvol19iss1pp557-570.

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Data from the 2021 West Java Provincial Health Profile Report, accessed from the official website of the West Java Provincial Health Office, reveals a significant surge in maternal mortality cases, rising from 165 in 2020 to 460 in 2021. In support of efforts to reduce maternal mortality rates, this study investigates the contributing factors to this phenomenon across various districts in West Java Province. The data used is from the year 2021. This study aims to evaluate the effectiveness of Poisson regression, negative binomial regression, and Geographically Weighted Poisson Regression (GWPR
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Sobari, Muhamad, and I. Gede Nyoman Mindra Jaya. "Modeling Rice Production in West Java by Means Geographically Weighted Regression." Jurnal Ekonomi Dan Statistik Indonesia 2, no. 3 (2023): 316–26. http://dx.doi.org/10.11594/jesi.02.03.08.

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In Indonesia, rice production varies from province to province, resulting in both large and small disparities between provinces. In Indonesia, East Java, Central Java and West Java Provinces have the highest rice production. In contrast to East Java and Central Java, however, the total rice consumption per year in West Java is the highest. In linear regression, the coefficients are the same for all regions, while each region sometimes has different influencing factors, resulting in spatial diversity. Consequently, the Geographically Weighted Regression (GWR) method was used to model the rice p
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Rangkuti, Baiquni, Arida Susilowati, Ulfa Juniarti Siregar, Laswi Irmayanti, and Iskandar Zulkarnain Siregar. "DNA Barcoding of Rattan (Arecaceae) From Gunung Walat Education Forest, Sukabumi-West Java." Journal of Sylva Indonesiana 4, no. 01 (2021): 45–53. http://dx.doi.org/10.32734/jsi.v4i01.5563.

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Rattan is a forest plant that has high economic and ecological value. This species grows in various habitats because of its good adaptability. Gunung Walat education forest (GWEF) is an ex-situ conservation location owned by IPB University and rattan conservation potential. In 2005 rattan were planted in this area from some material source in Indonesia, but the information regarding its identity was still limited. Therefore, this study aims to identify rattan in GWEF using barcode methods. Four barcoding those were rbcL, matk K, psbA-trnH, and ITS 1 was used for this purpose. Molecular analysi
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Nurhasanah, Nunung, Widiarti Widiarti, Dina Eka Nurvazly, and Mustofa Usman. "Penerapan Model Geographically Weighted Logistic Regression dengan Fungsi Pembobot Adaptive Gaussian Kernel pada Data Kemiskinan." Jambura Journal of Mathematics 6, no. 2 (2024): 204–11. http://dx.doi.org/10.37905/jjom.v6i2.26504.

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Regression analysis is one statistical method used to determine the relationship between a dependent variable and one or more independent variables. Dependent variables that are categorical are analyzed using logistic regression analysis. Geographically Weighted Logistic Regression (GWLR) is a method that is a local version of logistic regression, where location factors are considered. This method assumes that the dependent variable data are distributed binomially. In this study, the GWLR method is used to determine the factors influencing the poverty percentage in West Java Province in 2022 u
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Simatupang, Marnita. "EARLY MARRIAGE MODELING IN WEST JAVA USING GEOGRAPHICALLY WEIGHTED REGRESSION." Jurnal Biometrika dan Kependudukan 12, no. 2 (2023): 155–64. http://dx.doi.org/10.20473/jbk.v12i2.2023.155-164.

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Woman early marriage defined as a marriage that happens to a woman under 16 years. Early marriage can affect the mother’s and baby’s health. Free sex, education, and poverty remain the three significant factors of early marriage. West Java Province is the third-highest province with cases of early marriage with 19.23% of cases in Indonesia in the year of 2020. The cases number of cases of early marriage in an area certainly has different characteristics. The proximity factor between regions can influence it. This study aims to model instances of early marriage in West Java Province by consider
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Hajarisman, Nusar, and Yayat Karyana. "Identifikasi Faktor-faktor yang Mempengaruhi Angka Kematian Bayi di Provinsi Jawa Barat melalui Model Berbasis Regional." MIMBAR, Jurnal Sosial dan Pembangunan 32, no. 1 (2016): 194. http://dx.doi.org/10.29313/mimbar.v32i1.1720.

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In geographic modeling, global models such as ordinary linear regression (OLR) model theoretically it provides quite reliable local information if there is not any spatial diversity by region. In other words, OLR model cannot describe the relations between variables in heterogeneous difference of each region. This study will consider a model that will be used to estimate or predict the infant mortality rate in the several regencies / cities in West Java Province. Because the response variable observed in this study is count data which is assumed Poisson distributed, geographically weighted Poi
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Pan, Zhongwen, Zhigang Wang, Xiaoxiang Li, Jingrong Li, and Yujiao Zhou. "Space-Time Pattern of Coupling Coordination between Environmental Regulation and Green Water Resource Efficiency in China." Sustainability 14, no. 17 (2022): 10742. http://dx.doi.org/10.3390/su141710742.

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Based on the coupling coordination model, this paper intends to use the panel data of 31 provinces in China from 2000 to 2019, analyze the coupling and coupling coordination relationship between environmental regulation and green water resource efficiency (GWRE), and explore the space-time pattern of coupling coordination. The results show that: (1) The overall level of environmental regulation in China is showing increasingly stringent characteristics, and the overall GWRE is showing an upward trend. Both show spatial differences, and there is a strong correlation between the spatial spillove
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Aliu, Muftih Alwi, Fahrezal Zubedi, Lailany Yahya, and Franky Alfrits Oroh. "The Comparison of Kernel Weighting Functions in Geographically Weighted Logistic Regression in Modeling Poverty in Indonesia." Jurnal Matematika, Statistika dan Komputasi 18, no. 3 (2022): 362–84. http://dx.doi.org/10.20956/j.v18i3.19567.

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Indonesia is a developing country that is facing poverty. The percentage of the poor population in Indonesia in 2020 increased by 0.97 percent from 2019. A suitable analysis to overcome poverty in Indonesia is the regional effect, namely Geographically Weighted Logistic Regression (GWLR). This study aimed to compare the weighting functions of the Fixed Gaussian Kernel, Fixed Tricube Kernel, and Fixed Bisquare Kernel in the GWLR model in modeling poverty in Indonesia in 2020. The best model can determine significant factors that affected poverty in Indonesia in 2020. This study used the percent
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DEWI, NI KADEK ARISKA, I. KOMANG GDE SUKARSA, and I. GUSTI AYU MADE SRINADI. "FAKTOR-FAKTOR YANG MEMENGARUHI PENYEBARAN PENYAKIT TUBERKULOSIS (TBC) DI PROVINSI JAWA BARAT." E-Jurnal Matematika 9, no. 3 (2020): 165. http://dx.doi.org/10.24843/mtk.2020.v09.i03.p294.

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The highest number of tuberculosis sufferers in Indonesia is in West Java Province. The spread of TB disease depends on a variety of different factors in each region. Due to differences in geographical conditions between regions in West Java, the differences between one variable and different variables give different responses at different locations in each study area. This is called spatial heterogeneity. The method that can be used to overcome the problem of spatial heterogeneity is the Weighted Geographic Regression (GWR) method. The best model of this research is the GWR model using the bi
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Mala, Faiqotul, and Muhamad Fariq Hidayat. "Pemodelan Indeks Pembangunan Manusia Nusa Tenggara Barat Menggunakan Geographically Weighted Regression." Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi 11, no. 2 (2023): 339–50. http://dx.doi.org/10.37905/euler.v11i2.23042.

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The Human Development Index (HDI) is an indicator for measuring the level of social and economic development of a country or region. The reality is that a local-based model of autonomy is often needed because of the spatial heterogeneity that can occur due to the territory's geographical, social, cultural, or other conditions. This research aims to find spatial effects affecting HDI in West Nusa Tenggara Province. A method that can be used to accommodate is Geographically Weighter Regression (GWR). GWR analysis is the development of multiple linear regression analysis that can address territor
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Riznawati, Aldila, Tris Eryando, and Artha Prabawa. "Model Spasial Faktor Risiko Tuberkulosis di Provinsi Jawa Barat Tahun 2021: Pemanfaatan Data Rutin untuk Pengambilan Keputusan." Jurnal Ilmiah Kesehatan Masyarakat : Media Komunikasi Komunitas Kesehatan Masyarakat 16, no. 1 (2024): 23–32. http://dx.doi.org/10.52022/jikm.v16i1.640.

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Latar Belakang: Pemanfaatan data rutin di bidang kesehatan salah satunya untuk mengestimasi beban suatu penyakit termasuk determinannya. Tuberculosis (TB) masih menjadi masalah kesehatan global yang menginfeksi 10,6 juta orang di seluruh dunia pada tahun 2021, dimana Indonesia menjadi penyumbang beban kasus tertinggi kedua. Jawa Barat merupakan provinsi dengan jumlah temuan kasus TB terbanyak di Indonesia dalam 5 tahun terakhir Metode: Data bersumber dari Badan Pusat Statistik (BPS) Provinsi Jawa Barat tahun 2022 dan Statistik Perumahan Provinsi Jawa Barat 2021. Analisis deskriptif, autokorela
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Putra, I. Gusti Ngurah Edi, Martya Rahmaniati, Tiopan Sipahutar, and Tris Eryando. "Modeling the Prevalence of Tuberculosis in Java, Indonesia: An Ecological Study Using Geographically Weighted Regression." Journal of Population and Social Studies 30 (June 14, 2022): 741–63. http://dx.doi.org/10.25133/jpssv302022.041.

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There is a paucity of studies investigating the spatial pattern and factors associated with the prevalence of tuberculosis (TB) in Java. This study aimed to identify spatial autocorrelation, clusters, and factors associated with TB prevalence in Java using district- or city-level data. This was an ecological study using data from 118 districts or cities across six provinces in Java. Spatial analyses (i.e., Global Moran’s I, Local Indicator Spatial Autocorrelation [LISA], and Geographically Weighted Regression [GWR]) were used. This study found positive spatial autocorrelation of TB prevalence
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Rong, Peixi, Yukui Chen, Yusong Dang, et al. "Geographical specific association between lifestyles and multimorbidity among adults in China." PLOS ONE 18, no. 6 (2023): e0286401. http://dx.doi.org/10.1371/journal.pone.0286401.

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The relationship between lifestyles and multimorbidity is well established, but previous studies have often neglected the role of spatial heterogeneity. Thus, this study is the first to explore this association in Chinese adults from a spatial perspective using a geographically weighted logistic regression (GWLR) model and describe the geographical characteristics across different regions. According to 2018 China Health and Retirement Longitudinal Study (CHARLS) database, a total of 7101 subjects were finally included, with 124 prefecture-level administrative regions in China. Non-spatial and
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Arum, Prizka Rismawati, Mohammad Ridwan, Ina Alfidayanti, and Rochdi Wasono. "ROBUST GEOGRAPHICALLY WEIGHTED REGRESSION WITH LEAST ABSOLUTE DEVIATION (LAD) ESTIMATION AND M-ESTIMATION ON GRDP OF WEST JAVA PROVINCE." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 3 (2024): 1573–84. http://dx.doi.org/10.30598/barekengvol18iss3pp1573-1584.

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Geographically Weighted Regression (GWR) is an analytical method for data that contains spatial heterogeneity effects. However, parameter estimation in the GWR model has a weakness, namely it is prone to outliers and can cause the parameter estimation to be biased. This can be overcome by the Robust Geographically Weighted Regression (RGWR) method which is more robust against the presence of outliers. This method is suitable for Gross Regional Domestic Product (GRDP) data in West Java Province, which contains outliers and also has spatial effects. The data used in this study are secondary data
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Santoso, Edy, Teguh Hadi Priyono, Nanik Istiyani, Aisah Jumiati, and Duwi Yunitasari. "GWPR Model on Indonesian Economic Growth: The Analysis of Spatially Varying Relationships." Signifikan: Jurnal Ilmu Ekonomi 14, no. 1 (2025): 37–52. https://doi.org/10.15408/sjie.v14i1.44771.

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Research Originality: This research is original in examining the spatial varying relationship on economic growth in Indonesia.Research Objectives: This study investigates the variability of Indonesia's economic growth model determinants.Research Methods: This study uses the Geographically Weighted Panel Regression (GWPR) approach. Panel data was analyzed with 34 provinces in Indonesia from 2016 to 2022.Empirical Results: This study found that the Revenue Sharing Fund (DBH) variable significantly influenced economic growth in 32 provinces. Meanwhile, the influence of DBH is not significant in o
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Skorwid, Sergiej. "Code-switching w wypowiedziach użytkowników innosłowiańskich gwar przesiedleńczych w Rosji." Slavica Wratislaviensia 165 (February 1, 2018): 369–80. http://dx.doi.org/10.19195/0137-1150.165.33.

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Code-switching in utterances of speakers of alien Slavic immigrant dialects in RussiaThe paper deals with the phenomenon of the so called code-switching which accompanies the existence of Czech and Polish immigrant dialects spoken in Russia that are located in the Northern Caucasus and in Siberia, as well as originally West Ukrainian patois of East Siberian Holenders. The author compares different types of code-switching and code-mixing seen in their native speakers’ utterances with the situation observed among Russian Old Believers in Poland by Michał Głuszkow­ski 2012 and, in contrast to him
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Sandriani, Fifi, and Helma Helma. "Geographically Weighted Regression Analysis on Cases of Malnutrition Under Five in the West Sumatra." Mathematical Journal of Modelling and Forecasting 1, no. 1 (2023): 24–31. http://dx.doi.org/10.24036/mjmf.v1i1.8.

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Malnutrition is a condition experienced by toddlers due to low nutrition or nutritional needs that have not been met. Effort to improve health status by improving the nutritional status of toddlers. The purpose of this research is clarify the Geographically Weighted Regression model is the best model when compared to the multiple linear regression model. The data used was obtained data from the West Sumatra Provincial Helath Office for 2020. The dependent variable used is the percentage of cases of malnutrition and there are several independent variables, namely the percentage of children unde
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Fink, Howard. "CKUA: Radio Drama and Regional Theatre." Theatre Research in Canada 8, no. 2 (1987): 221–33. http://dx.doi.org/10.3138/tric.8.2.221.

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This article details the contributions made especially during the late twenties and thirties to the history of theatre in Alberta throughout the West, and to the nation as a whole by station CKUA of the University of Alberta. It pioneered the broadcasting of drama and theatre education programmes, offèred an opportunity for dramatists such as Gwen Pharis Ringwood and Elsie Park Gowan, aided the founding of the Banff Theatre School (now Banff School of Fine Arts), and allowed for the development of Alberta's indigenous theatre.
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