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All Journal LOSARI: Jurnal Pengabdian Kepada Masyarakat Journal of Data Insights
Aura Hisani, Zahra
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Transportation Other

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Journal : Journal of Data Insights

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A Pengelompokan Kabupaten/Kota di Jawa Tengah Berdasarkan Kepadatan Penduduk Menggunakan Metode Hierarchical Clustering Asyfani, Yusrisma; Manfaati Nur, Indah; Fathoni Amri, Ihsan; Yunanita, Novia; Anggun Lestari , Febi; Aura Hisani, Zahra; Hikmah Nur Rohim, Febrian
Journal of Data Insights Vol 2 No 1 (2024): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v2i1.158

Abstract

Jawa Tengah merupakan provinsi dengan urutan kelima di Indonesia berdasarkan kepadatan penduduk pada tahun 2020 sebanyak 1.113 jiwa/km2. Pengaruh kepadatan penduduk yang tinggi dapat menyebabkan berbagai masalah diantaranya kemacetan,pengangguran,kesehatan,kriminalitas serta permasalahan serius lainnya. Kepadatan penduduk dipengaruhi oleh angka kelahiran,angka kematian serta laju pertumbuhan, Untuk mengevaluasi kepadatan penduduk di provinsi Jawa Tengah, kita perlu mengklasifikasikan/mengelompokkan kabupaten/kota yang berada didalamnya. Pengelompokan ini bertujuan agar kebijakan yang dibuat oleh pemerintah dapat tepat sasaran. Metode yang dapat digunakan untuk pengelompokkan kabupaten.kota di provinsi Jawa Tengah berdasarkan kepadatan penduduknya yaitu Clustering Hierarchical Ward. Dari hasil analisis pengelompokan tersebut kabupaten/kota di provinsi Jawa Tengah dibagi menjadi empat kelompok berdasarkan kepadatan penduduknya.
Fuzzy Gustafson Kessel for Infrastructure Development Strategy in South Sumatra Province: Fuzzy Gustafson Kessel Untuk Strategi Pembangunan Infrastruktur Di Provinsi Sumatera Selatan Ningrum, Ariska Fitriyana; Rahma Dhani, Oktaviana; Anggun Lestari, Febi; Aura Hisani, Zahra; Fadlurohman , Alwan
Journal of Data Insights Vol 2 No 2 (2024): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v2i2.650

Abstract

Infrastructure development is a strategic element in improving public services and economic growth. South Sumatra Province, with its large economic potential, faces challenges in managing efficient and sustainable infrastructure development. This research aims to apply the Fuzzy Gustafson Kessel (FGK) method in decision making related to infrastructure development in South Sumatra Province. FGK combines fuzzy logic with Gustafson Kessel clustering algorithm to handle uncertainty and data variation from various stakeholders. The data used in this study includes population and geographic census data from the Central Bureau of Statistics of South Sumatra Province in 2023, with five indicators: population, area, population growth rate, population density, and poverty rate. The results show that South Sumatra is divided into three main clusters based on its infrastructure and demographic characteristics. This clustering is expected to improve the effectiveness and efficiency of infrastructure development decision-making, provide more appropriate policy recommendations, and potentially be applied in other regions with similar challenges.
Co-Authors Alwan Fadlurohman Anggun Lestari , Febi Anggun Lestari, Febi Ariska Fitriyana Ningrum Asyfani, Yusrisma Fathoni Amri, Ihsan Hikmah Nur Rohim, Febrian Ihsan Fathoni Amri Manfaati Nur, Indah Rahma Dhani, Oktaviana Suherdi, Andri Tiani Wahyu Utami Yunanita, Novia