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All Journal Jurnal Informasi, Teknologi, Engineering, dan Sains Jurnal Multidisipliner Kapalamada
bustommy, Abby yazid
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Optimalisasi Biaya Transportasi Distribusi Bahan Baku Kopi dengan Menggunakan Metode Vogel's Approximation dan Perangkat Lunak QM for Windows di PT. CFT bustommy, Abby yazid; Angga Widyaswara; Muhammad Ikhsanudin basri
JOURNAL INFORMATION TECHNOLOGY ENGINEERING AND SCIENCE Vol 3 No 2 (2024): Maret 2024
Publisher : Universitas Tangerang Raya

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Abstract

The distribution process of coffee raw materials at PT CFT Lampung requires large transportation costs. The problem is the limited warehouse capacity and different shipping destinations. The research aims to minimize transportation costs in distributing coffee raw materials from PT CFT in Lampung to various factories in the Greater Jakarta area. VAM is an algorithm used to find the minimum cost in transportation problems. The transportation problem finds that total demand and total supply do not match, requiring a dummy column to help with optimal allocation. This research successfully minimized the transportation cost of coffee raw materials from PT CFT in Lampung to various factories in Jabodetabek using Vogel's Approximation Method (VAM) and QM for Windows software, with a total cost of IDR 66,560,000.
PERAMALAN PERMINTAAN PRODUK MAKANAN MX GUNA MENINGKATKAN AKURASI PERENCANAAN PRODUKSI DAN PENGENDALIAN PERSEDIAAN DI PT XYZ Ramadhanti, Lifia Citra; Toyosito, Rakay Edhiargo; Widyas Swara, Angga; Bustommy, Abby Yazid; Nugroho, Moch Eko
Jurnal Multidisipliner Kapalamada Vol. 4 No. 04 (2025): JURNAL MULTIDISIPLINER KAPALAMADA
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/kapalamada.v4i04.2039

Abstract

Demand forecasting plays a crucial role in production planning and inventory control, particularly in the food industry, which is characterized by fluctuating demand and limited product shelf life. This study aims to analyze and apply demand forecasting methods for MX food products in order to improve the accuracy of production planning and inventory control at PT XYZ. Historical sales data are utilized to generate demand forecasts by comparing several quantitative methods, including moving average, exponential smoothing, and linear regression. The accuracy of each forecasting method is evaluated using forecasting error measurements such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the method with the lowest forecasting error provides more accurate demand estimates, enabling the company to reduce excess inventory and stock shortages. Improved forecasting accuracy contributes to more efficient production planning, lower inventory costs, and better managerial decision-making at PT XYZ.
Analisis Efisiensi Biaya Pengemasan melalui Optimasi Ukuran Plastik pada Industri Makanan Bustommy, Abby Yazid; Ramadhanti, Lifia Citra Ramadhanti; Maryadi, Didit
Journal Information Technology Engineering and Science (JITES) Vol 5 No 1 (2025): JITES
Publisher : Universitas Tangerang Raya

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Abstract

Biaya pengemasan merupakan salah satu komponen penting dalam struktur biaya produksi industri makanan, khususnya pada sektor fast moving consumer goods (FMCG) dengan volume produksi tinggi. Penggunaan panjang plastik kemasan yang melebihi kebutuhan aktual produk berpotensi menimbulkan pemborosan material dan meningkatkan biaya pengemasan. Penelitian ini bertujuan untuk menganalisis efisiensi biaya pengemasan melalui optimasi panjang plastik pada industri makanan. Penelitian menggunakan pendekatan deskriptif kuantitatif dengan studi kasus pada satu lini pengemasan dan satu jenis produk dengan volume produksi relatif konstan. Analisis distribusi panjang plastik dilakukan menggunakan histogram dan ukuran dispersi untuk mengidentifikasi variasi penggunaan plastik, sedangkan dampak finansial dievaluasi melalui cost comparison analysis dengan membandingkan kondisi sebelum dan sesudah optimasi. Hasil penelitian menunjukkan bahwa pada kondisi awal terdapat variasi panjang plastik yang cukup besar dengan dominasi penggunaan plastik di atas panjang kebutuhan produk. Setelah dilakukan optimasi, distribusi panjang plastik menjadi lebih terkonsentrasi di sekitar nilai kebutuhan produk dan variasi penggunaan plastik menurun. Optimasi panjang plastik tersebut menghasilkan penghematan biaya pengemasan sebesar Rp 2,86 juta per bulan atau lebih dari Rp 34 juta per tahun. Temuan ini menunjukkan bahwa penyesuaian spesifikasi panjang plastik berbasis data aktual dapat menjadi strategi efisiensi biaya pengemasan yang efektif, aplikatif, dan mudah diterapkan pada industri makanan.
Co-Authors Angga Widyaswara Maryadi, Didit Muhammad Ikhsanudin basri Nugroho, Moch Eko Ramadhanti, Lifia Citra Ramadhanti, Lifia Citra Ramadhanti Toyosito, Rakay Edhiargo Widyas Swara, Angga