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Journal : Jurnal Forum Analisis Statistik

Model Spasial Data Panel dalam Menganalisis Faktor-Faktor yang Mempengaruhi Kemiskinan di Provinsi Kalimantan Barat: Spatial Data Panel Model in Analyzing Factors Affecting Poverty in Kalimantan Barat Province Hairil Al-Ham; Neva Satyahadewi; Nur Asih Kurniawati
Jurnal Forum Analisis Statistik Vol. 4 No. 1 (2024): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v4i1.71

Abstract

Poverty is a complex and multidimensional problem in many countries, including Indonesia, which includes a lack of access to economic resources, education and adequate health services. In 2023, the percentage of the poor people in West Kalimantan Province has decreased to 7.03%, while the target of the RPJMD for West Kalimantan Province is 6.92%. One of the efforts that can be made to overcome this problem is by determining the factors that influence poverty. This research focuses on modeling with a spatial panel econometric approach on the percentage of the poor population. With this modeling, time period effects and spatial effects can be obtained on the percentage of poor people in districts/cities in West Kalimantan Province. The factors analyzed consisted of four sectors, namely education, social, health and employment. The panel data regression model obtained from this study is random effect. Then, in testing spatial effects, the results obtained showed that there was spatial autocorrelation and spatial dependence on error. So the analysis was continued using the spatial error model-random effect (SEM-random effect). The influence between locations or in this case districts/cities is measured using the queen contiguity spatial weighting matrix. From the model formed, it was found that districts/cities that are close to each other have an influence on reducing the percentage of the poor population in West Kalimantan Province. There are two variables that have a significantly influence the percentage of poor people in West Kalimantan Province. The school participation rate has a positive effect, while the percentage of the working population in the labor force has a negative effect on the percentage of the poor.
Perbandingan Kinerja Algoritma K-Means dan K-Medoids Pada Pengelompokan Usaha Pertanian Perorangan Tanaman Pangan di Provinsi Kalimantan Barat Margareta, Tiara; Satyahadewi, Neva; Pertiwi, Retno
Jurnal Forum Analisis Statistik Vol. 5 No. 1 (2025): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v5i1.91

Abstract

Kalimantan Barat province as the third largest province in Indonesia, has diverse and promising potential, especially in agriculture. It is known based on the result of the 2023 Agricultural Census, 354.503 people in Kalimantan Barat are food crop subsector agricultural business (contributing 48,58 percent of the total individual agricultural holdings). It is necessary to classify the commodity of food crop to identify the potential commodities in each regencies/cities. The method used in this analysis are the K-Means and K-Medoids algorithms. The use of both methods aims to compare and determine the most suitable algorithm for this analysis. The data used is sourced from the result of the complete enumeration of the 2023 agricultural census with the variable is the number of individual agricultural holdings of food crop commodities (rice and secondary food crops). The purpose of this study is to classify the number of food crop agricultural holdings in Kalimantan Barat Province by regency/municipality. The analysis results showed that K-Means was the best algorithm used for this data, with a DBI of 0,637. Smaller than the K-Medoids algorithm, which had a DBI of 0,683. The result of the K-Means analysis identified four clusters of food crop commodity areas. The first cluster consist of five regencies/municipalities, the second cluster contains one, the third cluster includes six, the fourth cluster comprise two regencies/municipalities.
Co-Authors . Apriansyah Afghani Jayuska Afghany Jayuska Al-Ham, Hairil Amriani Amir Amriani Amir Amriani Amir Andani, Wirda Antoni, Frans Xavier Natalius Apriliyanti, Rita Aprizkiyandari, Siti Ardhitha, Tiffany Ari Hepi Yanti Arsanti, Resti Arsyi, Fritzgerald Muhammad Arti, Reyana Hilda Ashari, Asri Mulya Asri Mulya Ashari Asty Fistia Ningrum Atikasari, Awang Aulia Puteri Amari Bambang Kurniadi Banu, Syarifah Syahr ciptadi, wahyudin Cornellia, Amanda Crismayella, Yuveinsiana Dadan Kusnandar Dadan Kusnandar Dadan Kusnandar David Jordy Dhandio Debataraja, Naomi Nessyana Della Zaria Desriani Lestari Desriani Lestari Desriani Lestari Dhandio, David Jordy Dinda Lestari Dwi Nining Indrasari Dwinanda, Maria Welita Eka Febrianti, Eka Esta Br Tarigan Evy Sulistianingsih Ewaldus Okta Ferdina Ferdina Feriliani Maria Nani Fitriawan, Della Fransisca Febrianti Sundari Fransiska Fransiska Grikus Romi Gusti Eva Tavita Gusti Eva Tavita Hairil Al-Ham Halim, Alvin Octavianus Hamzah, Erwin Rizal Handayani, Aditya Hanin, Noerul Harimurti, Puspito Harnanta, Nabila Izza Helena, Shifa Hendra Perdana Hendri Kurniawan, Hendri Hendrianto, El Herina Marlisa Huda, Nur'ainul Miftahul Huriyah, Syifa Khansa Ibnur Rusi Idilla, Leona Ikha Safitri Imro'ah, Nurfitri IMRO’AH, NURFITRI Imtiyaz, Widad Isra’ Sagita Jawani Jawani Jaya, Louis Putra Karlina, Sela Kusnandar, Dadan Tonny Lucky Hartanti Lucky Hartanti Lucky Hartanti M. Deny Hafizzul Muttaqin Maga, Fahmi Giovani Maharani, Citra Cipta Margareta, Tiara Margaretha, Ledy Claudia Marlisa, Herina Marola, Geby Martha, Shantika Mega Sari Juane Sofiana Mega Sari Juane Sofiana Mega Tri Junika Millennia Taraly Misrawi Misrawi Muhammad Ahyar Muhammad fauzan Muhammad Radhi Muhammad Rizki Muliadi Muliadi Muslimah (F54210032) Nabil, Ilhan Nail Nanda Shalsadilla Naomi Nessyana Debataraja Naomi Nessyana Debataraja Noerul Hanin Nona Lusia Nugrahaeni, Indah Nur Asih Kurniawati Nur Asiska Nurfadilah, Kori’ah Nurfitri Imro'ah Nurfitri Imro’ah Nurhalita Nurhalita Nurhanifa, Nurhanifa Nurmaulia Ningsih Oktaviani, Indah Ovi Indah Afriani Paisal Paisal Pertiwi, Retno Pratama, Aditya Nugraha Pratiwi, Yuyun Eka Preatin, Preatin Putri Putri Putri, Aulia Nabila Qalbi Aliklas R Puspito Harimurti Radhi, Muhammad Radinasari, Nur Ismi Rafdinal Rafdinal Rahadi Ramlan Rahmadanti, Putri Rahmanita Febrianti Rusmaningtyas Rahmawati, Fenti Nurdiana Ramadhan, Nanda Ramadhania, Wahida Reni Unaeni Retnani, Hani Dwi Ria Andini Ria Fuji Astuti Rina Rina Risky Oprasianti Rita Kurnia Apindiati Rivaldo, Rendi Riza Linda Rizki Nur Rahmalita Rizki, Setyo Wira Rosi Kismonika Roslina Rosi Tamara Rovi Christova Safira, Shafa Alya Salsabilla, Arla Santika Santika Sary, Rifkah Alfiyyah Savitri, Dini Dwi Seftiani, Seftiani Selvy Putri Agustianto Setyo Wir Rizki Setyo Wira Rizki Setyo Wira Rizki Setyo Wira Rizki Shantika Martha Shantika Martha Sinaga, Steven Jansen Sintia Margun Sista, Sekar Aulia Siti Aprizkiyandari Siti Aprizkiyandari, Nurul Qomariyah, Shantika Martha, Siti Hardianti Suci Angriani Sukal Minsas Sukal Minsas syuradi, Syuradi Tamtama, Ray Taraly, Inggriani Millennia Tiara, Dinda Trifaiza, Fadhela Wahyu Diyan Ramadana Wahyudin Ciptadi Warsidah Warsidah Warsidah, Warsidah Wilda Ariani Wirda Andani Yopi Saputra Yudhi Yuliono, Agus Yumna Siska Fitriyani Yundari, Yundari Yuveinsiana Crismayella Zakiah, Ainun