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All Journal Proceedings of Annual International Conference Syiah Kuala University - Social Sciences Chapter Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education PETITA: Jurnal Kajian Ilmu Hukum dan Syariah (PJKIHdS) Cyberspace: Jurnal Pendidikan Teknologi Informasi Journal of Data Analysis E-Mabis: Jurnal Ekonomi Manajemen dan Bisnis Ekombis: Jurnal Fakultas Ekonomi Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Jurnal Trias Politika Journal of Tourism Economics and Policy JEBI (Jurnal Ekonomi dan Bisnis Islam) Maqrizi : Journal of Economics and Islamic Economics Jurnal Ilmiah Basis Ekonomi dan Bisnis EKOBIS SYARIAH Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Transcendent Journal of Mathematics and Applications
Winny Dian Safitri
Universitas Islam Negeri Ar-Raniry Banda Aceh
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Application of Path Analysis in Aceh Poverty Modeling Mulia, Rika; Dian Safitri, Winny
Transcendent Journal of Mathematics and Applications Vol 1, No 1 (2022)
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tjoma.v1i1.28828

Abstract

The Human Development Index (HDI) is an important indicator of the success of efforts to improve the quality of human life. As a measure of quality of life, HDI is based on three basic aspects including aspects of health, education and a decent standard of living. There are several factors that can affect poverty, such as Zakat, Infaq and Sadaqah (ZIS), and the Family Hope Program (PKH). This study aims to determine the effect of the amount of ZIS funds and the number of recipients of PKH on poverty and HDI in Aceh in 2015-2020. This study uses a quantitative approach. The data analysis method in this study uses path analysis and Sobel test. The results showed that the amount of ZIS funds had a negative and insignificant effect on poverty in Aceh. The number of PKH recipients has a positive and insignificant effect on poverty in Aceh. The amount of ZIS funds has a positive and significant effect on HDI. The number of PKH recipients has a negative and insignificant effect on HDI in Aceh. Poverty has a negative and significant effect on HDI in Aceh. Poverty is able to mediate the effect of the amount of ZIS funds on HDI in Aceh. Poverty is unable to mediate the effect of the number of PKH recipients on the HDI in Aceh.
Analysis of Machine Learning Utilization in Identifying Social Assistance Recipients in Aceh Province HAKIM, Rajul; ADNAN, Muhammad; SAFITRI, Winny Dian
Journal of Tourism Economics and Policy Vol. 4 No. 4 (2024): Journal of Tourism Economics and Policy (October - December 2024)
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jtep.v5i4.1530

Abstract

Poverty is still an ongoing problem in Indonesia, especially in Aceh Province, even though various interventions such as the Program Keluarga Harapan (PKH) and the use of the Kartu Keluarga Sejahtera (KKS) have been implemented. This study aims to classify social assistance recipients more accurately, in order to reduce poverty levels in Aceh Province. This study uses secondary data from the 2023 National Socio-Economic Survey (NSES) with a total of 13,316 household observations and involving 28 independent variables. The results of the study show that the Classification Tree algorithm is able to classify households with an accuracy rate of 80%. The most influential variables in predicting KKS recipients include the education of the head of the household, floor area, number of household members, source of drinking water, and employment status. These findings indicate that a data-driven approach can improve the targeting accuracy of social assistance programs and support poverty alleviation efforts more effectively.
PRINCIPAL COMPONENT K-MEANS SOFT CONSTRAINT BASED ON WELL-BEING INDICATORS IN ACEH PROVINCE Dian Safitri, Winny
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 7 No 2 (2023)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v7i2.17548

Abstract

The success of government policies can be from the state of the well- being indicators. This research was conducted to obtain district/city groupings based on the similarity of characteristics of the well-being indicators of each district/city in Aceh Province in 2022. The data used in the Aceh well-being indicator data for 2022 consists of 29 variables. The analysis method used is the principal component k-means soft constrain method. The background information data can be used as a provision to streamline the clustering algorithm by creating soft constraints which is found as the most appropriate algorithm. The results of this study indicate there are four district/city clusters in Aceh Province. The characteristics of the first cluster are that kindergarten and elementary school facilities are adequate, while the school enrollment rate needs to be improved. The characteristics of the second cluster are superior to the Gross Enrollment Rate (GER) and the population of university graduates, but still very lacking in school facilities. The third cluster is the cluster that is the center of well-being in Aceh, so this cluster is the cluster with the best well-being level. The characteristic of the fourth cluster is that it is very good in the school participation rate indicator, but it must increase early childhood school participation.
Co-Authors Anita Pratiwi Awalurramadhana Awalurramadhana Ayubi, Fathurahman Al Chairunnas Chairunnas Cut Dian Fitri Cut Zamharira Elda Elnovita Fricia Indriana HAKIM, Rajul HARMANI, HARMANI Heru Syah Putra Hery Widijanto INDRIANA, FRICIA Iqbal Muttaqin, Mohd Jumila Jumila Latifah Rahayu Muazzinah Muazzinah Muazzinah Muhammad Adnan Muhammad Ikhwan Muhammad Reza Fahlefi Muhammad Zulhilmi Mulia, Rika Nadia Ulfah Nadlia Ariyati Nadlia Ariyati Nilam Sari Ovasani Lianda Putri Bunga Angkat Radian Akrama Rahmi Rahmi Rajul Hakim Rika Mulia Rizki Maulana Samsul Anwar Teuku Ghufran Wafi Zakki Fuad Khalil