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ANALISIS BEBAN KERJA MENGGUNAKAN METODE NATIONAL AERONAUTICS AND SPACE ADMINISTRATION TAKS LOAD INDEX DI PT XYZ PURWAKARTA Aldo Fauzi Dherryawan; Asep Hermawan; Dedy Setyo Oetomo
Journal of Management and Industrial Engineering (JMIE) Vol. 3 No. 2 (2024): SEPTEMBER
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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Abstract

Currently, companies are required to compete in maintaining the existence of customer satisfaction so that the company can survive amidst intense competition. In order to maintain intense competition, productivity in the production line must be increased. The impact of increasing activity on the production line is that the workload on production employees increases, which causes several problems. One of the problems faced by employees is excessive workload due to physical and mental stress. Conditions like this are being experienced by PT XYZ Purwakarta. From this condition, it is necessary to carry out a workload analysis. One of the appropriate workload methods for this analysis is the National Aeronautics and Space Administration Tax Load Index (NASA TLX) workload analysis method. NASA TLX is a workload analysis method used to analyze the mental workload faced by workers with several indicators that are used as assessments such as mental demand (MD), physical demand (PD), temporal demand (TD), performance (P), effort ( EF) and frustrated level (FR) (Hart & Stavelend, 1988).
Critical Path Analysis of an Automotive Engine Laboratory Construction Project Muhammad Alfian Hafidzin; Asep Hermawan; Yayan Heru Haerudin
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 8 No. 2 (2026): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v8i2.362

Abstract

Construction schedules presented only as bar charts provide limited information on logical dependencies, time flexibility, and the activities that govern project completion. This study evaluates the schedule of an automotive engine laboratory construction project using the Critical Path Method (CPM). Case data were consolidated from schedule documents, field observations, interviews, and project documentation into eleven work activities and one completion milestone. An Activity-on-Node network was developed and evaluated through forward-pass, backward-pass, and total-float calculations. The CPM model produced a 17-week project duration, equal to the company's original target, while revealing two critical paths: A-B-C-D-I-J-L and A-B-C-D-I-K-L. Steel erection and roofing each had two weeks of total float, whereas wall work and painting each had one week. Seven of the eleven executable activities were critical, and the two critical paths shared a 13-week common sequence. These findings demonstrate that CPM contributes not only through schedule compression but also by exposing schedule logic, focusing managerial attention, and identifying near-critical work that can become critical after a small deviation. The model is deterministic and does not incorporate resource constraints; therefore, subsequent schedule development should integrate resource leveling and probabilistic risk analysis.
Integrated MRP and Wagner-Whitin Planning for Vehicle Cargo-Body Materials Adelia Natalia Khundari; Asep Hermawan; Yayan Heru Haerudin
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 8 No. 2 (2026): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v8i2.365

Abstract

PT. XYZ is a vehicle-body manufacturer producing four cargo-body variants and experiencing a persistent mismatch between growing demand and material readiness. This study develops an integrated material-planning framework that combines trend forecasting, production planning, a Master Production Schedule (MPS), Material Requirements Planning (MRP), and a cost comparison between Lot for Lot (LFL) and the Wagner–Whitin algorithm. The dataset covers monthly sales and production from January 2024 to December 2025, bills of material, beginning inventory, supplier lead times, and company-provided inventory-cost parameters. Holt’s double exponential smoothing with α=0.3 and β=0.2 achieved a mean absolute percentage error of 2.50%, a mean absolute deviation of 0.737 units, and a mean squared error of 0.902. The 2026 demand forecast totaled 680 units and was consistently disaggregated among the four product variants. MRP generated time-phased gross requirements, net requirements, planned-order receipts, and planned-order releases. Under the company’s cost-accounting scope, Wagner–Whitin reduced total cost from IDR 330.40 million to IDR 271.29 million, saving IDR 59.11 million (17.89%). When the invariant finished-product component was excluded, the lot-sizing-sensitive cost decreased by 67.53%. The results indicate that combining MRP with dynamic lot sizing can improve material-timing reliability and inventory-cost efficiency, particularly for stable-demand items with relatively high ordering costs.
Rekayasa Ulang Proses Bisnis (Business Process Reengineering) Prosedur Permohonan Surat Izin Cuti Karyawan untuk Peningkatan Efisiensi Waktu di Divisi Spun Yarns PT Indorama Synthetics Tbk Yogi Agustian; Dedy Setyo Oetomo; Asep Hermawan
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.61431

Abstract

The Employee Leave Request procedure at the Personnel Department, Spun Yarns Division, PT Indorama Synthetics Tbk, is still manual and paper-based, causing long waiting times and low efficiency. This study maps the current (As Is) process, identifies the most dominant Non-Value Added (NVA) components, and formulates and analyzes a To Be proposal through Business Process Reengineering (BPR) with its gap analysis. This applied, quantitative-descriptive study uses flowcharts and time observation to classify Value-Added (VA) and NVA activities. Results show the As Is process has 9 steps with a total cycle time of 194.00 minutes, of which 153.2 minutes (79.0%) are NVA, mainly waiting time for HOD/Supervisor approval (72.5 minutes) and Remuneration Staff processing (49.8 minutes). The To Be design reduces actors from five to four, eliminates 4 steps, digitizes 2 steps, and automates 2 steps. The gap analysis shows the cycle time cut to 45.80 minutes, a 76.39% efficiency gain.
Analisis Kelayakan Investasi Pabrik Bioethanol Dari Molase Tebu Berkapasitas 100.000 Kl/Tahun di Bojonegoro dan Sensitivitasnya Terhadap Perubahan Harga Bahan Baku dan Harga Jual Produk Reksa Wijaya Martin; Dedy Setyo Oetomo; Asep Hermawan
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.61494

Abstract

Indonesia's mandatory bioethanol-blending program faces a substantial domestic supply gap, with demand projected to grow from 478,358 KL in 2026 to 1,170,453 KL by 2040. This study examines the investment feasibility of establishing a 100,000 KL/year sugarcane-molasses bioethanol plant in Bojonegoro and its sensitivity to changes in raw-material and selling prices. A quantitative descriptive approach was applied using secondary data from BPS, ESDM, P3GI, and scientific literature. Financial feasibility was assessed through NPV, IRR, Payback Period, and BEP. The base-case scenario yields an IRR of 14.13% (MARR 10%), NPV of IDR 322.45 billion, and a 6-year payback period. Under a sensitivity scenario combining higher molasses prices and lower selling prices, IRR declines to 13% yet remains feasible, with NPV of IDR 70.98 billion and a BEP of 50,000 KL/year. The project is therefore feasible and reasonably resilient to market price fluctuations.
Optimasi Lokasi Staging Area pada Sistem Auto Inbound Berbasis Automated Guided Vehicle (AGV) Menggunakan Analisis Load Distance dan Cycle Time Aditia Prajna Prasetia; Asep Hermawan; Dedy Setyo Oetomo
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.62021

Abstract

The development of warehouse automation systems has encouraged the implementation of Automated Guided Vehicles (AGVs) to improve material handling efficiency. However, an inappropriate staging area location may increase material movement distance and operational cycle time in the auto inbound system. This study aims to determine the optimal staging area location in an AGV-based auto inbound system using Load Distance and Cycle Time analysis. The research was conducted at the RMPM warehouse of PT Sanghiang Perkasa by evaluating several staging area alternatives based on material movement distance and AGV operational time parameters. The results show that STG 1 is the optimal location with a cycle time value of 176.274 seconds/cycle, lower than STG 2 at 228.708 seconds/cycle and STG 3 at 295.344 seconds/cycle. The optimization of staging area location can improve the operational efficiency of the auto inbound system
STUDI KELAYAKAN FINANSIAL DAN ANALISIS SENSITIVITAS PEMBANGUNAN PABRIK INGOT ALUMINIUM BERKAPASITAS 500.000 TON PER TAHUN DENGAN PENDEKATAN SISTEM DINAMIS Noval Dwi Sanggar Ramadhan; Dedy Setyo Oetomo; Asep Hermawan
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 11 No. 4 (2026): Regular Issue (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jkps.v11i4.3290

Abstract

Objective: Indonesia faces a persistent aluminium supply deficit and heavy import dependence, while the mineral downstreaming policy drives domestic value-added processing. This study evaluates the financial feasibility and risk sensitivity of a planned 500,000 tonnes-per-year (TPY) aluminium ingot smelter at Industrial Estate “X”, Central Kalimantan, modelling its ROI dynamics through a system dynamics approach. Methods: A quantitative descriptive approach used secondary data over a 22-year period (2030 construction; 2031–2051 operation). Feasibility was assessed with five capital budgeting indicators (NPV, IRR, Net B/C, Payback Period, Break-Even Point) at MARR 10.14%, complemented by DuPont decomposition and a Vensim-based Causal Loop Diagram (CLD). One-at-a-time sensitivity analysis (±10–30%) was applied to alumina price and coal energy cost. Results: The project is feasible, with NPV of USD 2,285.66 million, IRR of 16.69% (above MARR), Net B/C of 1.761, and payback period of 6.16 years. Energy cost is 1.60 times more sensitive to NPV than alumina price. The CLD identified two reinforcing and two balancing feedback loops explaining ROI dynamics across the project's deleveraging phases. Novelty: This study extends prior alumina-stage feasibility research to the ingot-smelting stage and integrates sensitivity analysis with DuPont-based system dynamics modelling, a combination absent from Indonesia's aluminium feasibility literature.
ANALISIS PERSEDIAAN BAHAN BAKU KAYU JATI MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY DAN MIN-MAX PADA CV JATI GEULIS PURWAKARTA Dika Nur Ardian; Asep Hermawan; Osep Hijuzaman
Jurnal Manajemen Pendidikan Vol. 11 No. 4 (2026): Regular Issue (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jmp.v11i4.3294

Abstract

Pengendalian persediaan bahan baku yang kurang optimal dapat meningkatkan biaya persediaan dan menghambat proses produksi. Penelitian ini bertujuan menganalisis pengendalian persediaan bahan baku kayu jati pada CV Jati Geulis Purwakarta menggunakan metode Economic Order Quantity (EOQ) dan Min-Max Inventory yang didukung peramalan kebutuhan bahan baku. Penelitian menggunakan pendekatan kuantitatif dengan data yang diperoleh melalui observasi, wawancara, dan dokumentasi. Peramalan dilakukan menggunakan metode Moving Average (MA) dan Double Exponential Smoothing (DES), kemudian dipilih berdasarkan nilai Mean Absolute Percentage Error (MAPE) terkecil. Hasil penelitian menunjukkan bahwa metode MA-3 memberikan akurasi terbaik dengan nilai MAPE sebesar 9% dan estimasi kebutuhan bahan baku sebesar 57 m³ per tahun. Berdasarkan hasil tersebut, metode EOQ menghasilkan jumlah pemesanan optimal sebesar 13 m³ dengan frekuensi 4 kali per tahun serta Total Inventory Cost sebesar Rp9.381.780. Penerapan EOQ mampu menurunkan biaya persediaan sebesar 33% dibandingkan kebijakan perusahaan, sehingga layak direkomendasikan sebagai metode pengendalian persediaan yang lebih efektif dan efisien.
ANALISIS KELAYAKAN FINANSIAL DAN PEMODELAN SISTEM DINAMIS TERHADAP SENSITIVITAS INVESTASI PABRIK TINPLATE BERKAPASITAS 100.000 TON/TAHUN DI CILEGON Erpan Maulana; Dedy Setyo Oetomo; Asep Hermawan
Jurnal Manajemen Pendidikan Vol. 11 No. 4 (2026): Regular Issue (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jmp.v11i4.3296

Abstract

Objective: This study analyzes the financial feasibility and investment sensitivity of a planned 100,000-ton/year tinplate plant in Cilegon. Total initial investment was recorded at USD 281.29 million, with a positive NPV of USD 101.44 million, an IRR of 14.82% (above the MARR of 10.14%), a Net B/C of 1.01, a Payback Period of about 6 years 2 months, and a Discounted Payback Period of 6.15 years, indicating the project is FEASIBLE with a narrow margin. Methods: Feasibility was assessed using conventional investment appraisal combined with Vensim-based system dynamics sensitivity analysis. Both approaches consistently identified HRC price as the most influential variable, followed by tin ingot price. Results: The system dynamics approach additionally captured time-delay effects and dynamic cash flow behavior across the project's life cycle, revealing how raw material price volatility propagates through cash flows over time, an insight not offered by static sensitivity analysis alone. Novelty: This study integrates conventional investment appraisal methods (NPV, IRR, Net B/C, PBP) with Vensim-based system dynamics modeling in a rarely studied case within the national tinplate industry, offering a more comprehensive feasibility framework for investment decision-making in capital-intensive, commodity-based manufacturing sectors.