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All Journal Epsilon: Jurnal Matematika Murni dan Terapan Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Jurnal Al-Qardh Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Pengabdian kepada Masyarakat Nusantara Mathematics and Applications (MAp) Journal Jurnal Pengabdian Ilung (Inovasi Lahan Basah Unggul)
Fuad Muhajirin Farid
Program Studi Statistika, Universitas Lambung Mangkurat
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Model Persediaan yang Mengalami Kemerosotan Berdistribusi Weibull Lestari, Anisha Ayu; Affandi, Pardi; Farid, Fuad Muhajirin
MAp (Mathematics and Applications) Journal Vol 5, No 2 (2023)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/map.v5i2.6607

Abstract

Penelitian ini mengembangkan model persediaan yang unik dengan mempertimbangkan kemerosotan barang yang mengikuti distribusi Weibull. Model ini dirancang untuk mengatasi tantangan dalam manajemen persediaan, khususnya dalam menghitung biaya total dan optimal. Metode yang digunakan meliputi analisis turunan parsial kedua untuk menemukan biaya optimal dan analisis kemonotonan pada turunan pertama untuk analisis sensitivitas. Hasil penelitian ini memberikan wawasan baru dalam pengelolaan persediaan, dengan model yang efektif untuk memprediksi kemerosotan barang dan mengoptimalkan biaya. Penelitian ini juga menawarkan analisis sensitivitas yang mendalam terhadap perubahan parameter, memberikan panduan penting untuk pengambilan keputusan strategis dalam manajemen persediaan
Pemodelan Regresi Semiparametrik Spline pada Persentase Penduduk Miskin di Provinsi Kalimantan Selatan Muhammad Munawwir; Fuad Muhajirin Farid; Yeni Rahkmawati
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.444

Abstract

Poverty is one of the unresolved development challenges throughout the world, including Indonesia. One of the regions in Indonesia where the percentage of poor people is below the national level is South Kalimantan Province. The percentage of poor people in South Kalimantan Province from 2000 to March 2022 was always below the national level. The economy in South Kalimantan is dominated by the mining and quarrying sector which is less sustainable, allowing the percentage of poor people in South Kalimantan to be prone to increase.  Therefore, it is necessary to model the percentage of poor people based on the factors considered to influence it. This study aims to explain how to model the percentage of poor people based on the assumption that the observed variables affect it. To achieve this goal, the technique applied in modeling the percentage of poor people is spline semiparametric regression. As a result of using this semiparametric spline regression, it was found that the model parameters were not significant, requiring separate modeling for parametric and nonparametric regression. Based on the separation of the model, it’s found that using multiple linear regression there are 2 influential predictor variables, namely adjusted per capita expenditure and the percentage of households using proper water.
Analisis Determinan Pembangunan Ekonomi Inklusif di Provinsi Kalimantan Selatan Menggunakan Pendekatan Panel Vector Error Correction Model (PVECM) Yani Fidiyaningsih; Fuad Muhajirin Farid; Yeni Rakhmawati
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.467

Abstract

The success of economic development is measured by the level of equality and sustainability, particularly through the Inclusive Economic Development Index (IEDI), emphasizing even economic growth for all layers of society. This research analyzes the relationship between IEDI and influencing factors, namely the Human Development Index (HDI), Economic Growth (EG), and Percentage of Poor Population (PPP), using the Panel Vector Error Correction Model (PVECM) approach in South Kalimantan Province from 2011 to 2021. The results indicate that the data is integrated at the same level, and there is a cointegration equation with an optimal lag of 5, implying that the impact of changes in HDI and economic growth on IPEI can affect IPEI up to five periods. PVECM estimates show that HDI and economic growth significantly influence IPEI in the long and short term. In the long run, an increase in HDI and economic growth negatively impacts IPEI. Meanwhile, in the short term, changes in HDI and economic growth can affect IPEI up to five periods ahead. These findings provide crucial insights for the formulation of inclusive economic development policies in the region.
Co-Authors Abdul Gafur Anwaril Hamidy Azizah, Nor Aufa Dewi Anggraini Dewi Sri Susanti Dhika Nugraha Erna Noordyanti Haviva, Nur Lestari, Anisha Ayu Lestia, Aprida Siska Maisara, Maisara Maisarah Maisarah Maisarah Maisarah, Maisarah Maria Ulfah Mariza Uthami Muhammad Munawwir Muhammad Reza Faisal Norhidayati, Annisa Norma Yuni Kartika, Norma Yuni Nur Salam Nur Salam Pardi Affandi Selvi Annisa Yani Fidiyaningsih Yeni Rahkmawati Yeni Rahkmawati Yeni Rakhmawati, Yeni Yuana Sukmawaty Yusi Riza Zainal Zainal