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Mahrani
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Model Regresi Data Panel Robust terhadap Kemiskinan di Provinsi Sulawesi Selatan Mahrani; Karuna, Elisabeth Evelin; El Darman, Atiqa Azza
Jurnal Riset Statistika Volume 5, No. 2, Desember 2025, Jurnal Riset Statistika (JRS)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrs.v5i2.8637

Abstract

Abstract. Poverty is one of the fundamental issues in socio-economic development in Indonesia, which remains the main focus of regional policies. Variations in poverty levels between districts/cities in South Sulawesi Province reflect differences in development performance influenced by economic growth and the Human Development Index (HDI). This article aims to analyze the influence of these two factors on poverty using a Panel Data Regression approach with Heteroskedasticity-Consistent Estimator (Robust Standard Errors). Theoretically, this method was developed to produce parameter estimates that remain consistent even when classical assumptions are violated, particularly heteroskedasticity and cross-section unit correlation. The data used covers 24 districts/cities in South Sulawesi Province during the 2020–2024 period. The analysis was conducted using Fixed Effect (FE) and Random Effect (RE) models, accompanied by a Hausman test to determine the best model, as well as Pesaran CD, Breusch-Pagan LM, and Wooldridge diagnostic tests. The results of the article show that HDI has a negative and significant effect on poverty levels, while economic growth has no significant effect. The robust approach has been proven to increase the reliability of estimation results in socioeconomic data conditions that do not meet the assumption of homoscedasticity. These findings indicate that improving the quality of human resources through education and health is a key strategy in reducing poverty levels in South Sulawesi. Abstrak. Kemiskinan merupakan salah satu persoalan fundamental dalam pembangunan sosial ekonomi di Indonesia yang masih menjadi fokus utama kebijakan daerah. Kemiskinan di Provinsi Sulawesi Selatan masih menunjukkan variasi antarwilayah yang dipengaruhi oleh pertumbuhan ekonomi dan Indeks Pembangunan Manusia (IPM). Penelitian ini menganalisis pengaruh kedua variabel tersebut menggunakan regresi data panel dengan Driscoll–Kraay Robust Standard Errors, yang dipilih karena mampu mengatasi heteroskedastisitas, autokorelasi, dan cross-sectional dependence. Data mencakup 24 kabupaten/kota selama periode 2020–2024. Model Fixed Effect (FE) dan Random Effect (RE) diuji, dan pemilihan model dilakukan menggunakan uji Hausman. Hasil penelitian menunjukkan bahwa IPM berpengaruh negatif dan signifikan terhadap kemiskinan, sementara pertumbuhan ekonomi tidak signifikan. Pendekatan robust ini meningkatkan reliabilitas hasil estimasi dan memberikan gambaran empiris yang relevan bagi kebijakan pengentasan kemiskinan di Sulawesi Selatan. Artikel ini menggunakan metode Regresi Data Panel dengan Driscoll–Kraay Robust Standard Errors untuk memastikan konsistensi standard error ketika terjadi heteroskedastisitas dan cross-sectional dependence. Analisis mencakup 24 kabupaten/kota di Provinsi Sulawesi Selatan periode 2020–2024 menggunakan model Fixed Effect (FE), Random Effect (RE), dan Uji Hausman. Hasil menunjukkan bahwa IPM berpengaruh negatif dan signifikan terhadap kemiskinan, sementara PDRB tidak berpengaruh signifikan. Pendekatan Driscoll–Kraay meningkatkan reliabilitas estimasi dibanding robust konvensional.
PERANAN TELUR ASIN DALAM MEMENUHI KEBUTUHAN PROTEIN HEWANI KELUARGA Yoshi Lia Anggrayni; Mahrani; Gusparia; Imelda, Imelda Siska
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 5 No. 2 (2025): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2025
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v5i2.5074

Abstract

Pangan hewani merupakan pangan yang bersumber dari hasil ternak berupa daging, susu dan telur. Kandungan protein pangan hewani cukup tinggi dibandingkan komponen nutrisi lainnya. Tingginya kandungan protein menyebabkan pangan hewani dianjurkan selalu tersedia dalam menu makanan sehari-hari. Akan tetapi tidak semua protein hewani dapat dipenuhi oleh setiap keluarga. Hal ini disebabkan oleh beberapa protein hewani memiliki harga yang cukup tinggi seperti daging dan susu. Protein hewani berupa telur merupakan salah satu hasil ternak unggas yang disukai oleh masyarakat. Harga yang terjangkau, membuat telur menjadi pilihan masyarakat dalam memenuhi kebutuhan protein hewani. Telur itik merupakan telur yang dihasilkan oleh ternak itik. Telur itik memiliki berat dan ukuran yang lebih besar dari jenis telur lainnya. Penanganan telur itik yang umumnya dilakukan adalah dengan membuat telur asin. Telur yang telah diasinkan memiliki masa simpan yang lebih lama, memiliki cita rasa yang lebih baik dan serta memiliki kandungan gizi yang cukup tinggi pada protein yaitu sekitar 13,27% dan lemak sekitar 13,30%. Adapun tujuan kegiatan pengabdian kepada masyarakat ini adalah meningkatkan pengetahuan masyarakat mengenai peran penting telur asin dalam memenuhi kebutuhan protein hewani keluarga dan memperkenalkan produk telur asin bagi masyarakat yang belum mengetahuinya. Kegiatan ini dilakukan dengan metode penyuluhan kepada masyarakat. Hasil kegiatan pengabdian kepada masyarakat yang dilakukan mendapatkan respon yang positif dari masyarakat dengan adanya pertanyaan yang diajukan terkait telur asin. Kegiatan dilakukan dengan memberikan dan menjelaskan materi secara baik dan diskusi. Pada akhir kegiatan, masyarakat mendapatkan peningkatan wawasan mengenai telur asin yang dapat memenuhi kebutuhan protein hewani keluarga.
Modeling Spatial Dependece of Poverty Based on Human Development Index and Unemployment Rate in South Sulawesi Province 2024 Elisabeth Evelin Karuna; Mahrani; Atiqah Azza El Darman
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 7 No 3 (2025)
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pamulang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v7i3.54480

Abstract

Poverty is one of the main problems in regional economic development that requires in depth statistical analysis to understand the factors that influence it. This study aims to model the spatial dependence of the percentage of poor people in South Sulawesi Province in 2024 by considering the influence of the Human Development Index (HDI) and the Open Unemployment Rate (OUR). The analysis was conducted using three spatial regression model approaches, namely the Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), and Spatial Autoregressive Moving Average Model (SARMA). The selection of the best model was based on the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) values. The results of the analysis show that the SARMA model has the smallest AIC and BIC values (AIC = 102.6484 and BIC = 109.7167), so it was selected as the best model to explain the variation in poverty between regions in South Sulawesi. Parameter estimates in the SARMA model show that HDI has a significant negative effect on the percentage of poor people (   ; ), while OUR has no significant effect ( ;   ). In addition, there is spatial dependence in both the dependent variable ( ) and the error component ( ), indicating the existence of interrelated poverty between regions. Thus, the results of this study confirm that an increase in HDI plays an important role in reducing poverty levels in South Sulawesi, and indicate the need for a development policy approach that considers spatial interrelationships between regions.
Pendampingan Manajemen Usaha Perempuan Pascabencana Banjir Bandang di Desa Huta Godang untuk Penguatan Ekonomi Lokal Nurdelila; Lubis, Rizky Mery Octavianna; Yusuf Pathuansyah; Mahrani
Jurnal Transformasi Pendidikan Indonesia Vol. 4 No. 1 (2026): JTPI January
Publisher : Yayasan Perguruan Kampus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65474/4ntj1c40

Abstract

The flash floods that struck Huta Godang Village significantly impacted the sustainability of community micro-enterprises, particularly women who were economically vulnerable after the disaster. This community service activity aimed to improve the business management capacity of women affected by the flash floods as a strategy for local economic recovery and strengthening. The approach used was participatory, empowerment-based mentoring through business management training and mentoring, covering business planning, simple financial management, and marketing strategies. The program targeted women micro-enterprises and female heads of households in Huta Godang Village. The program evaluated participants' pre- and post-mentoring conditions using descriptive statistical data. The results showed a significant increase in participants' managerial capacity, indicated by an increase in the proportion of participants who had business plans, maintained financial records, and implemented simple marketing strategies. Furthermore, some participants began to experience a gradual recovery in their business income and demonstrated increased economic independence. This activity demonstrated the effectiveness of post-disaster mentoring for women's business management in supporting community economic recovery and strengthening women's roles as actors in local economic development. Therefore, this mentoring model has the potential to be replicated in other disaster-affected areas with similar social and economic characteristics
Co-Authors Ahmad Rafii Ali Padang Siregar Andi Rahmat Nizar Hidayat Atiqah Azza El Darman Desnita El Darman, Atiqa Azza Elisabeth Evelin Karuna Elissa Evawani Tambunan Gusparia, Widya Sandi, Harahap, Tinur Rahmawati Hsb, Putri Nadya Imelda, Imelda Siska Irfan. B Karuna, Elisabeth Evelin Kasmawati Khoirun Nisa Meliana Sari Misbahuddin Nasution, Sahara Ani Nurdelila Parlindungan Siregar Ritonga, Sinta Nuria Rizky Mery Octavianna Lubis Rosni Harahap Sianipar, Shinta Debora Sibuea, Erni Rawati Siregar, Dinda Khairunnisa Panduman Siti Meutia Sari Tri Cahyo Nugroho Yoshi Lia Anggrayni Yulia Rizki  Ramadhani Yusuf Pathuansyah