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All Journal Journal of Appropriate Technology for Community Services Jurnal Algoritma Jurnal Kalibrasi
Jianul Hayat, Encep
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Pelatihan Metode AHP untuk Penentuan Kriteria Pemilihan Vendor Perusahaan Berbasis Proyek Teknologi Informasi Setiawan, Danang; Kusrini, Elisa; Jianul Hayat, Encep; Nugroho , Lulu Riesta
Journal of Appropriate Technology for Community Services Vol. 5 No. 2 (2024)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jattec.vol5.iss2.art5

Abstract

In manufacturing companies, vendors supply raw materials for production. There are two vendor selection methods: the merit system and the lowest-cost method. Criteria and their weights are crucial in determining the winning vendor. One approach that can be taken is the AHP method, which is used for decision-making. This research contributes to vendor selection through AHP training and support. Determining vendor criteria is crucial for information technology project success, so AHP training is considered beneficial and has a positive impact on the company.
Aplikasi Monitoring Stok Ikan Laut dengan Algoritma FIFO untuk Efisiensi Manajemen Stok Setiawan, Ridwan; Hestiyanti, Mita; Jianul Hayat, Encep
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2273

Abstract

PT Berkah Wahana Samudera Jaya Group is a company engaged in the fish trade. In the current business processes of PT Berkah Wahana Samudera Jaya Group, the process involves recording, transferring data to Excel, and monitoring stock manually through Excel, which often causes discrepancies between the actual and recorded stock quantities. The purpose of this study is to design a web-based marine fish stock monitoring application with the implementation of the First In First Out (FIFO) algorithm to ensure that the fish that enters first will be the first to leave, thereby reducing the risk of fish quality deterioration, monitoring stocks more quickly, and ensuring that stock data is always up to date. The research uses the Rational Unified Process (RUP) methodology, which includes four stages of application design, namely Inception, Elaboration, Construction, and Transition, with Unified Modeling Language (UML) system modeling. The result of this research is a stock monitoring application implemented at PT Berkah Wahana Samudera Jaya Group to support fish stock management and minimize recording errors. The contribution of this research is to provide a digital solution that can be used as a reference for developing web-based inventory management systems in the fisheries sector, supporting the transformation of the fisheries industry towards a more efficient, transparent, and integrated digital ecosystem.
Perencanaan Peningkatan Produktivitas UMKM Berbasis Metode American Productivity Center (APC) Untuk Mengurangi Fluktuasi dan Memenuhi Target Kinerja Sri Wahyuni, Rahayu; Chandrahadinata, Dody; Jianul Hayat, Encep
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.2618

Abstract

This study aims to measure productivity, identify causes of fluctuations, and formulate improvement strategies for garment MSMEs in Garut Regency. Data was collected from June to December 2024, covering input variables such as labor, materials, energy, and capital, as well as output variables such as production value in rupiah. The American Productivity Center (APC) method was used to calculate the Productivity Index (PI), Profitability Index (PI), and Price Improvement Index (PI) with a base period of June. The results show that the total productivity index ranges from 98.40% to 101.34%, with the highest value in August (labor IP 120.92%) and the lowest in September (88.72%). Gap analysis revealed the main causes of fluctuations, namely excess stock after Eid, lack of labor discipline, high employee turnover, and inefficient capital costs. The SWOT analysis resulted in productivity improvement strategies, including optimizing experienced labor, implementing incentive systems, flexible work scheduling, efficient raw material planning, increased online promotion, and developing distribution partnerships. This study provides practical contributions in the form of data-based strategy guidelines for garment MSMEs to achieve stable and sustainable productivity.
Perancangan Perbaikan Kualitas Produk Busana Muslim Menggunakan Metode Six Sigma Dmaic Chandrahadinata, Dody; Jianul Hayat, Encep; Fauzi, Habal
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.2640

Abstract

CV Yumna Dress is an SME engaged in the production of Muslim clothing and faces the problem of high product defect rates. This study aims to design product quality improvements using the Six Sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The results of the identification show that the dominant types of defects are untidy stitching, holes in the fabric, and fabric stains. The sigma level is 3.83. Analysis using Pareto diagrams, fishbone diagrams, and FMEA shows that the root cause of the problem lies in human factors, specifically a lack of sewing skills. The proposed improvements include training, SOP development, and sewing machine maintenance. The control stage simulation resulted in a sigma value increase of 0.26 from 3.83 to 4.09. This study shows that the Six Sigma DMAIC method is effective in reducing defects and improving production process capabilities.
Co-Authors Danang Setiawan Dody Chandrahadinata Fauzi, Habal Hestiyanti, Mita Kusrini, Elisa Nugroho , Lulu Riesta Ridwan Setiawan Sri Wahyuni, Rahayu