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All Journal Jurnal Teknologi International Journal of Oil Palm Jurnal Keilmuan dan Aplikasi Teknologi Industri Jurnal Keilmuan dan Aplikasi Teknologi Industri
Billy Nugraha
Universitas Mercu Buana
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering

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Raw Material Control of TCC Using MRP with The Implementation of Safety Stock and Forecasting Methods Muhammad Farhan Rusdy Setiawan; Winarno; Wahyudin; Billy Nugraha; Naufal Rabbani Sumitra
Jurnal Teknologi Vol. 18 No. 2 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.2.177-186

Abstract

In the increasingly competitive automotive industry, effective raw material control is essential to achieve cost efficiency, maintain production continuity, and ensure accurate distribution. PT XYZ, an automotive manufacturing company located in Karawang, faces several challenges, including high demand fluctuations, dependence on imported raw materials, and the absence of safety stock calculations, which increase the risk of inventory shortages. This study aims to determine the optimal raw material planning method by integrating demand forecasting and Material Requirement Planning (MRP) using the Lot for Lot (LFL) technique in the production of the KWU-type Timing Chain Cover (TCC). This research employs a quantitative case study approach, with data collected through observation, interviews, documentation, and literature review. Demand forecasting is conducted using Double Exponential Smoothing, Moving Average, and Linear Regression methods. The most accurate forecasting method is then used as an input for preparing the Master Production Schedule (MPS) and MRP. The results indicate that the Linear Regression method provides the highest forecasting accuracy, as indicated by the lowest Mean Squared Error (MSE) value of 2,075,786,061. Furthermore, the implementation of MRP using the Lot for Lot technique combined with safety stock calculations proves effective in reducing the risk of stockouts. This improvement is reflected in the stabilization of inventory levels, such as the water pump bearing component, which previously experienced zero stock conditions and is now maintained at a safety stock level of 37,770 units. In conclusion, the integration of Linear Regression forecasting and Lot for Lot-based MRP enhances planning accuracy, ensures raw material availability, and supports long-term operational efficiency at PT XYZ.
Application Design Go-DES with ADDIE for Implementation the Digital Economy Sharia-Based Billy Nugraha; Soma Satria; Gading Adithia Famella
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 24 No. 2 (2024): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/q967w650

Abstract

2021 is the year of the projection to the Indonesian government in the planning of the largest digital economy in Southeast Asia. Therefore, the development and deployment of human resources quality is the main key to achieve the largest digital economy. The initial step in introducing a system of digital economy in integrated from the world of education with the concept of sharia-based. The results of the research showed that the islamic economy in the last 10 years is growing rapidly. The purpose of this writing is the design and application called Go-DES (Go-Digital Economy based on Sharia) with ADDIE : (1) Analyze, (2) Design, (3) Development, (4) Implement and (5) Evaluate. The results of this paper is the design of the application and has the function of: (1) E-Bank there is a Saldo-Ku and E-Godes, as well as (2) E-Market there is an E-ATK, E-Seragam, E-Kantin and E- SPP.
Analisis Demand  Produk Differential Case Dengan Metode Brown’s Double Exponential Smoothing di PT XYZ Anida Syakira; Asep Erik Nugraha; Billy Nugraha
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 25 No. 2 (2025): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/sa5rtb32

Abstract

Permintaan pasar yang tidak menentu dalam industri otomotif menuntut perusahaan untuk melakukan peramalan yang tepat guna mendukung kelancaran proses produksi. PT XYZ sebagai perusahaan manufaktur komponen kendaraan perlu merencanakan kebutuhan produk differential case secara lebih akurat agar pengadaan bahan baku dan proses produksi dapat berjalan efisien. Tujuan penelitian ini untuk meramalkan permintaan produk differential case selama satu tahun ke depan dan menentukan jumlah pemesanan optimal berdasarkan metode Double Exponential Smoothing (DES) dari Brown yang dikombinasikan dengan pendekatan Economic Order Quantity (EOQ). Menggunakan pendekatan kuantitatif dengan jenis data sekunder berupa data historis permintaan selama tahun 2023–2024. Analisis data dilakukan menggunakan Microsoft Excel untuk menghitung nilai peramalan, kesalahan atau error, serta estimasi jumlah pesanan optimal. Hasilnya menampilkan untuk nilai alpha terbaik yaitu 0,4 dengan nilai Mean Squared Error (MSE) sebesar 399.401 dan hasil tracking signal menunjukkan bahwa peramalan berada dalam batas kendali yang kemudian hasil tersebut menjadi dasar perhitungan EOQ. Kesimpulan dari penelitian ini adalah bahwa integrasi metode peramalan Brown dan pendekatan EOQ dapat meningkatkan efisiensi pengelolaan persediaan.
Application Design Go-DES with ADDIE for Implementation the Digital Economy Sharia-Based Billy Nugraha; Soma Satria; Gading Adithia Famella
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 24 No. 2 (2024): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/q967w650

Abstract

2021 is the year of the projection to the Indonesian government in the planning of the largest digital economy in Southeast Asia. Therefore, the development and deployment of human resources quality is the main key to achieve the largest digital economy. The initial step in introducing a system of digital economy in integrated from the world of education with the concept of sharia-based. The results of the research showed that the islamic economy in the last 10 years is growing rapidly. The purpose of this writing is the design and application called Go-DES (Go-Digital Economy based on Sharia) with ADDIE : (1) Analyze, (2) Design, (3) Development, (4) Implement and (5) Evaluate. The results of this paper is the design of the application and has the function of: (1) E-Bank there is a Saldo-Ku and E-Godes, as well as (2) E-Market there is an E-ATK, E-Seragam, E-Kantin and E- SPP.
Analisis Demand  Produk Differential Case Dengan Metode Brown’s Double Exponential Smoothing di PT XYZ Anida Syakira; Asep Erik Nugraha; Billy Nugraha
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol. 25 No. 2 (2025): Regular Issue
Publisher : SEKOLAH TINGGI TEKNOLOGI INDUSTRI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/sa5rtb32

Abstract

Permintaan pasar yang tidak menentu dalam industri otomotif menuntut perusahaan untuk melakukan peramalan yang tepat guna mendukung kelancaran proses produksi. PT XYZ sebagai perusahaan manufaktur komponen kendaraan perlu merencanakan kebutuhan produk differential case secara lebih akurat agar pengadaan bahan baku dan proses produksi dapat berjalan efisien. Tujuan penelitian ini untuk meramalkan permintaan produk differential case selama satu tahun ke depan dan menentukan jumlah pemesanan optimal berdasarkan metode Double Exponential Smoothing (DES) dari Brown yang dikombinasikan dengan pendekatan Economic Order Quantity (EOQ). Menggunakan pendekatan kuantitatif dengan jenis data sekunder berupa data historis permintaan selama tahun 2023–2024. Analisis data dilakukan menggunakan Microsoft Excel untuk menghitung nilai peramalan, kesalahan atau error, serta estimasi jumlah pesanan optimal. Hasilnya menampilkan untuk nilai alpha terbaik yaitu 0,4 dengan nilai Mean Squared Error (MSE) sebesar 399.401 dan hasil tracking signal menunjukkan bahwa peramalan berada dalam batas kendali yang kemudian hasil tersebut menjadi dasar perhitungan EOQ. Kesimpulan dari penelitian ini adalah bahwa integrasi metode peramalan Brown dan pendekatan EOQ dapat meningkatkan efisiensi pengelolaan persediaan.
Valorization of Palm Oil Mill Effluent (POME) for Renewable Energy: A Systematic Review on Biogas Potential and Policy Implications in Indonesia Billy Nugraha; Nadiahun Nasywa; Melodi Laora Putri; Soma Satria; Yoga Ulya Mubarok
International Journal of Oil Palm Vol. 9 No. 1 (2026)
Publisher : Indonesian Oil Palm Society /IOPS (Masyarakat Perkelapa-sawitan Indonesia /MAKSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35876/ijop.v9i1.159

Abstract

Palm Oil Mill Effluent (POME) represents one of the most significant by-products of the palm oil industry, often perceived as a major environmental pollutant due to its high organic load and greenhouse gas (GHG) emissions. However, its valorization as a biogas source offers a promising pathway toward sustainable energy transition in Indonesia. This study presents a systematic literature review (SLR) to evaluate the biogas potential of POME and to explore policy frameworks that support its implementation in the Indonesian context. The review was conducted based on PRISMA guidelines by screening peer-reviewed articles from 2013 to 2024 using databases such as Scopus, ScienceDirect, and Google Scholar. A total of 38 relevant studies were analyzed, covering techno-economic feasibility, conversion efficiency, environmental impacts, and regulatory perspectives. Findings indicate that POME has a high potential for biogas production, with methane yields ranging between 15–28 m³ per m³ of POME under optimized anaerobic digestion processes. Furthermore, several pilot-scale and industrial implementations in Sumatra and Kalimantan demonstrate technical viability. However, challenges remain in terms of infrastructure investment, fragmented policies, and lack of integration with national energy targets. Current regulations, including the Presidential Regulation on Renewable Energy and Ministry of Energy’s roadmap, provide a partial foundation, but clearer incentives and decentralized support mechanisms are needed. This review highlights the urgency of aligning technological potential with comprehensive policy support to accelerate the adoption of POME-to-biogas initiatives, especially among small and medium-scale palm oil mills. The valorization of POME not only contributes to Indonesia’s renewable energy mix but also addresses environmental and socio-economic concerns within the palm oil sector.
Co-Authors Anida Syakira Gading Adithia Famella Melodi Laora Putri Muhammad Farhan Rusdy Setiawan Nadiahun Nasywa Naufal Rabbani Sumitra Nugraha, Asep Erik Soma Satria Soma Satria Wahyudin Wahyudin Winarno Yoga Ulya Mubarok