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All Journal Teknik dan Ilmu Komputer Sinergi Journal of Information System, Technology and Engineering IRA Jurnal Pengabdian Kepada Masyarakat
Atep Afia Hidayat
Universitas Mercu Buana – Jakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Cause of Defect Analysis in the Assembly Process of K15 Type Motor Machine Components Installation Using Fmea Method in PT XYZ Kholil, Muhammad; Hidayat, Atep Afia; ., Friendy
Teknik dan Ilmu Komputer vol. 05 no. 17 januari-maret 2016
Publisher : Teknik dan Ilmu Komputer

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Abstract

Abstrak Komponen mesin motor adalah kebutuhan yang paling penting pada suatu produk sepeda motor. Failure Mode and Effect Analysis (FMEA) merupakan suatu cara dimana suatu bagian atau suatu proses yang mungkin gagal memenuhi suatu spesifikasi, menciptakan cacat atau ketidaksesuaian, dan dampaknya pada pelanggan bila mode kegagalan itu tidak dicegah atau dikoreksi. Kegagalan produk yang sering muncul adalah cacat pada saat proses pencetakan nomor mesin pada Cover L bernilai RPN sebesar 504, proses pengeleman pada Crank Case bernilai RPN sebesar 448, proses pengukuran celah katup Cylinder Head bernilai RPN sebesar 392, dan proses pemasangan Oil Pump terhadap Cover Reed Valve bernilai RPN sebesar 448. FMEA merupakan metode yang menjadi pilihan untuk mengurangi tingkat kecacatan atau kegagalan produk dengan menitikberatkan pada penanggulangan faktor-faktor yang memiliki potensi menyebabkan kegagalan produk. Kata Kunci: FMEA, RPN, Quality.  Abstract Engine Components is the most important requirement of a motorcycle product. FMEA is a method in which a part or a process that might fail to meet specifications, resulting a defect or nonconformity which may impact on the customer when the failure mode is not prevented or corrected. Product failures that often arise are defects at the printing process of the machine number on Cover L with RPN value of 504, the gluing process on Crank Case with RPN value of 448, the measurement process of  Cylinder Head valve gap with the RPN value of 392, and the Oil Pump installation process on the Cover Reed valve with RPN value of 448. Failure Mode and Effect Analysis ( FMEA ) is the chosen method to reduce the defect rate or failure of a product by focusing on overcoming the factors that can potentially lead to product failure. Keyword: FMEA (Failure Mode and Effect Analysis), RPN (Risk Priority Number), Quality 
Penerapan Standarisasi Desain untuk Meningkatkan Kualitas dan Masa Pakai Mold Di PT. Takagi Sari Multi Utama Andi Widodo; Atep Afia Hidayat
SINERGI Vol 18, No 3 (2014)
Publisher : Universitas Mercu Buana

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Abstract

PT. Takagi Sari Multi Utama adalah perusahaan manufaktur yang bergerak di bidang injeksi plastik untuk produk otomotif terutama pada kendaraan bermotor. Karena begitu banyaknya pelanggan yang mempercayakan produk plastik injectionnya, maka PT. Takagi Sari Multi Utama harus memperhatikan mold yang digunakan sebagai sarana atau alat produksi memiliki kualitas yang tinggi. Karena begitu pentingnya suatu kualitas mold dan daya tahan mold terhadap penjaminan kualitas produksi, maka penulis mencari masalah utama yang terjadi PT. takagi Sari Multi Utama dengan menggunakan diagram pareto. Berdasarkan diagram terebut diperoleh data penyebap kerusakan mold paling tinggi adalah Design and Mold Structur dengan 154 Kejadian. Masalah Design and Mold Structur dipetakan dalam fishbone diagram untuk mengetahui permasalahan apa saja yang menyebapkan. Permasalahan yang ditemukan dilakukan analisa menggunakan FMEA (Failure Mode and Efect Analisis) sebagai landasan melakukan perbaikan. Dengan metoda FMEA (Failure Mode and Efect Analisis) diperoleh kesimpulan bahwa buruknya desain dan kontruksi mold dikarenakan tidak adanya standar desain yang digunakan sebagai acuhan proses desain dan pemeriksaan mold saat proses manufacturing dengan nilai RPN 567. Oleh karena itu proses perbaikan dilakukan dengan membuat standar desain mold di PT. Takagi Sari Multi Utama kemudian mencoba menerapkannya pada desain mold Cover Side 3/4.
Pelatihan Penerapan Pengendalian Persediaan untuk Meminimalisir Pemborosan pada Industri Screen Printing Hidayat, Atep Afia; Koeswara, Sonny; Husein, Torik
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 2 No 2 (2024): Agustus
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v2i2.114

Abstract

The formation of a number of small, medium and large scale businesses shows the growth of Indonesian business. This increase has both good and bad impacts on society. It is advantageous to think of industrial growth in terms of the economy. In particular, people's living standards can be improved by reducing the unemployment rate. However, from an environmental perspective, industrial development has had detrimental effects. Where irregular waste disposal causes environmental pollution Small businesses must pay attention to internal performance and inventory if they want to compete. To meet customer demand, inventory involves all parties directly and indirectly. The goal of inventory is to maximize its total value. The total value of inventory is the difference between the cost of inventory to meet customer demand and the value of the final product received by the customer. During the production process, products are divided into smaller lots and returned to warehouses where they are stored in distribution facilities where they are shipped and from the factory to retail stores. By considering these environmental factors, inventory management training aims to increase productivity by reducing waste, optimizing usage, and developing inventory that meets industry needs.
Evaluating DRP Implementation for 3 KG LPG Distribution Efficiency Firdaus, Alfa; Kholil, Muhammad; Riadi, Selamat; Hidayat, Atep Afia; Almahdy, Indra
Journal of Information System, Technology and Engineering Vol. 3 No. 3 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i3.186

Abstract

This study evaluates the effectiveness of Distribution Requirements Planning (DRP) integrated with ARIMA time series forecasting to support delivery scheduling decisions and the determination of minimum inventory levels. As a representative case study, a 60-month sales series of Ultra-Pure Water was used to simulate fluctuating retail demand across the agent–depot network. The Augmented Dickey–Fuller test confirmed stationarity (p = 0.0142), allowing candidate ARIMA (p, 0, q) models to be evaluated using ACF/PACF and information criteria. The best model was ARIMA (1,0,1), which had the lowest Akaike Information Criterion and passed diagnostic tests (normal residuals, no autocorrelation, no heteroscedasticity), making it suitable for operational forecasting. Projection results indicated a stable demand pattern and yielded a safety stock threshold of 733.24 units/month (equivalent to 24.44 units/day) as a reference for inventory control. These findings demonstrate that the DRP–ARIMA integration can enhance supply reliability and distribution efficiency, particularly for subsidized goods such as 3 kg LPG, with practical implications for determining adaptive inventory levels, delivery routes and frequency, and upstream–downstream coordination. Theoretically, this study provides additional empirical evidence on the use of quantitative forecasting models to operationalize DRP in the energy sector, while also providing a foundation for replication in other critical commodities.
Pelatihan Penerapan AI untuk Analisis Beban Kerja di PT ASD Atep Afia Hidayat, Atep; Gunardi, Yudi; Pranoto, Hadi; Kholil, Muhammad; Haekal, Jakfat
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.344

Abstract

Employee productivity is a key determinant of organizational competitiveness; however, manual workload analysis often leads to imbalances between employees’ capacity and assigned tasks, resulting in inefficiency and reduced well-being. This program aims to provide training on the application of Artificial Intelligence (AI), particularly Artificial Neural Networks, for workload analysis to optimize task distribution and enhance productivity at PT Anugerah Sarana Dinamika. The training consisted of a needs assessment, theoretical sessions on AI, hands-on practice in developing a prototype based on company workload data, mentoring, and workload scenario simulations. Evaluation using pre–post tests on a Likert scale showed a significant improvement in participants’ understanding of AI concepts (average score increased from 2.1 to 4.2), with 80% of participants able to operate the workload analysis prototype and an overall satisfaction rate of 88%. The program successfully improved participants’ digital literacy and technical skills and demonstrated the effectiveness of AI in supporting sustainable human resource management transformation.
Engineering Economy Application in Investment Evaluation: A Simulation Approach Kholil, Muhammad; Haekal, Jakfat; Firdaus, Alfa; Almahdy, Indra; Riyadi, Selamet; Hidayat, Atep Afia
Journal of Information System, Technology and Engineering Vol. 3 No. 4 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i4.248

Abstract

This study evaluates the feasibility of implementing an Enterprise Resource Planning (ERP) system in the Cosmetics and Household Needs sub-sector using engineering economics and system-dynamics simulation. The investment targets operational efficiency and the correction of transaction and inventory discrepancies. Financial viability was assessed via Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP), complemented by a multi-year Vensim simulation to capture dynamic cash-flow effects. Results indicate strong feasibility: NPV of Rp 119,654,313 over five years, IRR of 50.38% far above a 3.5% benchmark and a 7-month payback, with simulated trajectories showing increasing NPV and sustained positive cash flow under varying income, expense, and customer-growth assumptions. The ERP solution is at Technology Readiness Level (TRL) 7–8, reflecting prototype demonstration in an operational environment. The initiative aligns with institutional KPIs on digital transformation, efficiency, and financial performance, and supports SDG 9 (Industry, Innovation and Infrastructure) and SDG 12 (Responsible Consumption and Production) by promoting efficient resource management and sustainable industrial practices. Collectively, the evidence suggests ERP adoption is both financially sound and strategically beneficial for firms in this sub-sector.
Co-Authors ., Friendy Alfa Firdaus Andi Widodo Andi Widodo Gunardi, Yudi Hadi Pranoto Haekal, Jakfat Indra Almahdy Kholil, Muhammad Muhammad Kholil Selamat Riadi Selamet Riyadi Sonny Koeswara Torik Husein