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All Journal JURNAL ILMIAH MATEMATIKA DAN TERAPAN Jurnal Ekonomi, Akutansi dan Manajemen Nusantara
Puji Sarwono
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Automotive Engineering Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mathematics

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Spatial Statistical Analysis for Poverty Mapping Using Machine Learning: Spatial Statistical Analysis for Poverty Mapping Using Machine Learning Nugroho, Agung Yuliyanto; Puji Sarwono
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 22 No. 1 (2025)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2025.v22.i1.17883

Abstract

Poverty is a multidimensional problem influenced not only by economic factors but also by spatial dimensions such as geographic location, accessibility, and environmental characteristics. This study aims to analyze spatial patterns of poverty and develop a poverty prediction model using a geospatial data-based machine learning approach. The data used comes from a combination of open sources such as the Central Statistics Agency (BPS), Landsat satellite imagery, and regional infrastructure data. The methods used include spatial autocorrelation analysis (Moran's I) to identify poverty clustering patterns, Local Indicators of Spatial Association (LISA) to detect poverty hotspots, and Random Forest and Gradient Boosting models to predict poverty levels based on environmental, social, and economic variables. The results show that poverty has a significant spatial pattern, where areas with high poverty rates tend to cluster in areas with low infrastructure access and high population density. The machine learning model demonstrated better prediction accuracy than the traditional linear regression approach, with an R² value reaching 0.87 and a lower prediction error rate (RMSE). These findings emphasize the importance of integrating spatial analysis and machine learning technology in understanding the dynamics of poverty geographically. This research contributes to the development of spatial data analysis methods in the context of public policy, particularly in supporting more targeted poverty alleviation intervention planning. The mapping results can serve as a basis for local governments in identifying priority areas, allocating resources, and designing data-driven development policies. Thus, this approach offers an innovative solution towards more efficient and evidence-based decision-making in poverty alleviation in Indonesia.
Optimization of Production Capacity Planning for Marinated Fresh Parting Products at PT XYZ's Poultry Slaughterhouse (RPHU) Using a Capacity-Based Line Balancing Approach Puji Sarwono; Ratna Dewi Septiyani; Widya Paradisari
Jurnal Ekonomi, Akutansi dan Manajemen Nusantara Vol. 4 No. 3 (2026): Edisi Januari - April
Publisher : Utiliti Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jeama.v4i3.694

Abstract

Industri pengolahan unggas memerlukan sistem produksi yang efisien dan seimbang untuk memenuhi permintaan pasar yang fluktuatif, khususnya pada produk fresh parting marinasi yang bersifat mudah rusak. Ketidakseimbangan kapasitas antar stasiun kerja dapat menyebabkan bottleneck yang membatasi kinerja lini produksi. Penelitian ini bertujuan menganalisis keseimbangan kapasitas produksi serta mengoptimalkan throughput pada lini produksi fresh parting marinasi di RPHU PT XYZ menggunakan pendekatan capacity-based line balancing. Penelitian dilakukan dengan pendekatan kuantitatif melalui studi kasus pada empat stasiun kerja, yaitu parting, tumbling, packing, dan vacuum sealing. Data diperoleh melalui observasi, wawancara operasional, dan dokumentasi kapasitas mesin, kemudian dianalisis untuk mengidentifikasi bottleneck, menghitung kapasitas produksi, serta mengevaluasi efisiensi lintasan dan throughput sistem. Hasil penelitian menunjukkan bahwa stasiun packing menjadi bottleneck dengan kapasitas 1.680 ekor per jam. Penambahan satu group packing meningkatkan kapasitas menjadi 2.100 ekor per jam dan meningkatkan throughput sistem sebesar 25%, sedangkan penambahan dua group packing menyebabkan pergeseran bottleneck ke stasiun vacuum sealing dengan peningkatan throughput yang terbatas. Temuan ini menunjukkan bahwa peningkatan kapasitas yang difokuskan pada stasiun bottleneck merupakan strategi paling efektif untuk meningkatkan kinerja sistem produksi multi-tahap.
Co-Authors Nugroho, Agung Yuliyanto Ratna Dewi Septiyani Widya Paradisari