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All Journal FORUM STATISTIKA DAN KOMPUTASI Jurnal Sains dan Seni ITS Gudang Jurnal Multidisiplin Ilmu Triwikrama: Jurnal Ilmu Sosial Kohesi: Jurnal Sains dan Teknologi Mutiara : Jurnal Ilmiah Multidisiplin Indonesia Perspektif: Jurnal Pendidikan dan Ilmu Bahasa Jurnal Penelitian Teknologi Informasi dan Sains Neraca Manajemen, Akuntansi, dan Ekonomi Cendikia Pendidikan Ebisnis Manajemen Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam ARIMA : Jurnal Sosial Dan Humaniora Jurnal Pendidikan dan Pengajaran Zoologi: Jurnal Ilmu Peternakan, Ilmu Perikanan, Ilmu Kedokteran Hewan Switch: Jurnal Sains dan Teknologi Informasi Pentagon: Jurnal Matematika dan Ilmu Pengetahuan Alam Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Jurnal Pustaka Cendekia Pendidikan IPSSJ Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Sri Pingit Wulandari
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Analisis Kesenjangan Regional di Sektor Pertanian Indonesia Tahun 2023 Melalui Pendekatan Cluster Melynda Isaura; Fauzi Dwi Aryasatyawan; Sri Pingit Wulandari
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 4 (2024): Desember : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i4.4253

Abstract

Indonesia is an agricultural country with great potential in the agricultural sector, both as a source of livelihood and as an economic driver. This sector has an important function in food security, improving farmers' welfare, and preserving the environment. Given Indonesia's regional diversity, it is important to develop policies that suit the agricultural characteristics of each region. This research uses the clustering method, a technique that groups data based on similar characteristics so that objects in one group (cluster) have high similarities, while between clusters they are different. This research applies the clustering method to group provinces in Indonesia based on agricultural sector factors in 2023, using hierarchical and non-hierarchical techniques. The results show that the optimum clusters obtained using both single linkage and K-Means formed five optimal clusters. The Java Island cluster shows high productivity, while Riau, East Kalimantan and North Kalimantan have quite high productivity with minimal labor. The largest clusters have a lot of unmanaged land, increasing employment opportunities. Significant variables influence grouping.
Co-Authors Abghaza Bayu Kusuma Wardhana Aisyatul Kamilah Ramadina Albertus Eka Amelia Kurnia Fitri Amelya Putri, Veronica Ammaar Razaan Yahya Anindya Putri Noliza Anjani Lestari Hartanty Annisa’ Riskika Hayyu Arindah Maharani Saputri Arsa Saladine Arum Antika Bintang Amirul Mukminin Brodjol Sutijo Byrlianty Tsabita El Haqq Damayanti Zulvita Aisyah Daniel Wicaksono Nugroho Dentina Dewi Amaliana Elsa Amelia Nur Arimba Endita Prastyansyach Famita Wibi Wulandari Farhan Bramhatchi Fauzi Dwi Aryasatyawan Feny Ulil Amrina Hanni Putria Hartanti Helvy Tiana Rosa Nabila Hikmah Deviani Ika Rahmawati Insania Firdausy Khurotaayun Subagja Latifah Sekar Hanin Marcella Pramesti Putri Maziyah Mufidah Wahyudiono Melita Handayani Melynda Isaura Monica Putri Natalia Muhammad Hasan Alwi Abu Sifa Naomi Gloria Pasaribu Natasya Liana Putri Naufalia Alfi Fuadah Nisrina Aulia Salsabila Nur Fitri Mustika Ayu Nurfajriyani Nurfajriyani Ovi Wahyu Adriani Purhadi Purhadi Puspa Damai Kukuh Hati Putri Buana, Avinda Lutfi Anggraini Putri Dita Prameswari Rakha Maheswara Rida Dwi Lestari Rifda Maulidya Rindy Retno Prihastari Riska Aisyah Widyaningsari Salsabila Aulia Azizah Sa’diyyah Divamia Amanda Shafa Fariha Tsuraya Siti Nabila Sri Mumpuni Retnaningsih Syefa Ilmi Beandita Putri Vira Angelina Virda Wulandari Zahra Afifah Nafisah _ Haryono