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All Journal Teknologika Journal of Management and Industrial Engineering (JMIE) Advance Sustainable Science, Engineering and Technology (ASSET)
Diki Muchtar
Sekolah Tinggi Teknologi Wastukancana
Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Analisis Kapasitas Produksi dengan Pendekatan Promodel di PT Asahimas Flat Glass tbk Muhammad Ihsan; Diki Muchtar; Davito Arnanta Putra
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.658

Abstract

This study analyzes production capacity improvement at PT Asahimas Flat Glass Tbk using discrete-event simulation with ProModel. Empirical data were collected through observations, time studies, interviews, and production records to develop and validate a simulation model that reflects actual production conditions. Initial simulations identified a bottleneck in the assembly process, limiting output to 35 units per hour. Two improvement scenarios were evaluated, with the second alternative involving the addition of one operator at the assembly workstation. Results showed a significant increase in production output to 78 units per hour, with a moderate increase in operational costs from Rp 21,100,000 to Rp 24,600,000. These findings confirm that appropriate labor allocation based on simulation analysis effectively improves production performance and manufacturing efficiency.
PERENCANAAN PENJADWALAN KAPASITAS PRODUKSI SELULOSA DENGAN MENGGUNAKAN METODE ROUGHT CUT CAPACITY PLANNING Indra Gumelar; Rhanu Wardhana; Iman Throriq; Diki Muchtar
Journal of Management and Industrial Engineering (JMIE) Vol. 2 No. 2 (2023): SEPTEMBER
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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Abstract

Perkembangan mode dari waktu ke waktu membuat kebutuhan sandang terus mengalami peningkatan, perusahaan kurang mampu mengelola sumber daya yang digunakan tidak dapat memenuhi kebutuhan konsumen dengan tepat dan cepat, masalah ini sering kali terjadi di PT MNO banyaknya kelebihan produk di Department Viscose (selulosa), sehingga jumlah produksi melebihi permintaan, mengakibatkan sistem perencanaan kapasitas produksi di perusahaan belum optimal, tujuan penelitian ini untuk mengetahui perbaikan apa yang harus dilakukan untuk memperbaiki perencanaan kapasitas produksi di PT MNO. Berdasarkan analisa menggunakan metode Rough Cut Capacity Planning (RCCP), maka perusahaan memerlukan adanya penambahan tenaga kerja. Karena pada PT MNO proses produksinya kontinyu dan perusahaan menggunakan 5 hari kerja dengan 2 shift per hari, sehingga pada proses produk perlu dilakukan jam lembur lagi dan penambahan tenaga kerja.
MENINGKATKAN EFISIENSI BIAYA PRODUKSI DENGAN MENGGUNAKAN METODE JUST IN TIME PADA HOME INDUSTRY KERUPUK RAIHAN PURWAKARTA Laela Sagita; Hendi Iskandar; Darmawan Yudhanegara; Diki Muchtar
Journal of Management and Industrial Engineering (JMIE) Vol. 2 No. 2 (2023): SEPTEMBER
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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Penelitian ini bertujuan untuk mengetahui penerapan metode Just InTime dalam meningkatkan efisiensi biaya produksi pada home industri kerupuk raihan. Pengumpulan data dilakukan dengan wawancara, observasi dan studi dokumentasi. Data yang diolah adalah laporan persediaan tahun 2022. Teknik perhitungan yang digunakan adalah menghitung total biaya produksi berdasarkan kebijakan perusahaan, metode EOQ, dan metode JIT/EOQ, serta menghitung siklus penjadwalan produksi. Berdasarkan hasil perhitungan disimpulkan bahwa kebijakan pengendalian persediaan yang dilakukan perusahaan belum maksimal terlihat dari total biaya produksi yang dikeluarkan sebesar Rp.5.952.274,- dibandingkan dengan metode JIT/EOQ sebesar Rp.1.463.008,-sehingga total biaya yang dihemat sebesar Rp.4.489.226,-
Simulasi Sistem Antrian Pembelian Tiket Kereta Api Menggunakan Aplikasi Promodel (Studi Kasus di Stasiun Purwakarta) Diki Muchtar; Puspita Hadi Putri; Iman Thoriq; Wanwan Jamaludin
Journal of Management and Industrial Engineering (JMIE) Vol. 3 No. 1 (2024): MARET
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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Abstract

Purwakarta Station, as one of the busiest train stations in Indonesia, often experiences passenger congestion, especially during peak hours. Not only does this cause inconvenience to passengers, but it can also pose a safety risk. The purpose of this study is to improve the efficiency and safety of train passenger queues. This research uses Promodel software. The results of this study found that there was no waiting presentation and down presentation. Meanwhile, there is a percentage of delay in the location of entering the counter and exiting the counter. Presentations were blocked by 4.47% and the percentage of counter exit was 52.89%. This means that there is no significant buildup in the simulation of the train ticket purchase queue system at Purwakarta Station).
Bottleneck Analysis and Improvement in Apparel Manufacturing Production Processes Using Integration Design of Experiments and Discrete Event Simulation Diki Muchtar; Parwadi Moengin; Dadang Surjasa; Sally Cahyati
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.3288

Abstract

Bottlenecks in apparel manufacturing often cause unbalanced production flows, increased waiting times, and reduced system performance. This study aims to analyze and eliminate bottlenecks by integrating Design of Experiments (DOE) and Discrete Event Simulation (DES). Four workstations (X1–X4) were selected as experimental factors, while system performance was evaluated using bottleneck indicators across six production stages (Y1–Y6). DOE was used to design capacity scenarios, and DES assessed system performance under each configuration. Results show that partial capacity increases at selected workstations are insufficient to fully eliminate bottlenecks. Complete elimination was achieved only in specific scenarios (Experiments 13–16), where all bottleneck indicators reached zero. Among these, Experiment 13 was identified as the optimal solution, as it eliminated all bottlenecks with the minimum additional capacity. These findings indicate that targeted capacity enhancement at critical workstations is an effective and economical strategy. The integration of DOE and DES proves to be a reliable data-driven approach for identifying bottlenecks and selecting optimal capacity improvements. This study also provides a structured and replicable framework for bottleneck analysis in apparel manufacturing, contributing to the limited application of DOE–DES integration in this sector.
Proposed ProModel Implementation to Increase Production Quantity at PT ABC Diki Muchtar; Ramlan Yuniar Velani; Suci Tresna Dewi Handayani
Jurnal Teknologika Vol 15 No 2 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i2.543

Abstract

This study focuses on initiatives to enhance production quantity at PT ABC. The study applied a simulation-based approach using ProModel software to test various improvement scenarios without interfering with actual production activities. The data collected includes processing time at each workstation and machine capacity, which were used to build an accurate simulation model. The simulation results showed a significant increase in productivity from 35 to 78 units per hour after implementing the second improvement alternative involving additional manpower. This study offers practical and data-driven solutions to enhance production efficiency, reduce cycle time, and eliminate bottlenecks. The findings serve as a valuable reference for companies aiming to implement production line optimization strategies and simulation modeling to support continuous improvement in manufacturing performance.
Co-Authors Dadang Surjasa, Dadang Darmawan Yudhanegara Davito Arnanta Putra Hendi Iskandar Iman Thoriq Iman Throriq Indra Gumelar Laela Sagita Muhammad Ihsan Parwadi Moengin Puspita Hadi Putri Ramlan Yuniar Velani Rhanu Wardhana Sally Cahyati Suci Tresna Dewi Handayani Wanwan Jamaludin