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All Journal International Journal of Electrical and Computer Engineering J@TI (TEKNIK INDUSTRI) Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Informatika dan Komputasi STMIK Indonesia Jakarta OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Syntax Literate: Jurnal Ilmiah Indonesia Aptisi Transactions on Management Abdimas Universal JURNAL TEKNIK INDUSTRI Eduvest - Journal of Universal Studies Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Advance Sustainable Science, Engineering and Technology (ASSET) Scientific Contributions Oil and Gas
Parwadi Moengin
Industrial Engineering Departement Diponegoro University Jl. Prof. Sudarto, SH Tembalang Semarang 50239 Telp. 0247460052
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Other

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Perancangan Model Simulasi Tata Letak Gudang Bahan Baku Menggunakan Metode Shared Storage (Studi Kasus di PT. Braja Mukti Cakra) Moengin, Parwadi; Nadya Adira Fabiani; Sucipto Adisuwiryo
JURNAL TEKNIK INDUSTRI Vol. 12 No. 1 (2022): VOLUME 12 NO 1 MARET 2022
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v12i1.13962

Abstract

Intisari— PT. Braja Mukti Cakra merupakan perusahaan yang bergerak di bidang manufaktur yang menghasilkan produk komponen (machined products) yang berpresisi tinggi, berupa komponen otomotif di Indonesia. Permasalahan yang terjadi pada PT. Braja Mukti Cakra berada pada gudang bahan baku, dimana peletakan bahan baku yang belum optimal dikarenakan tidak adanya penamaan dan pembagian jenis material bahan baku pada rak atau pallet yang ada digudang. Hal ini menyebabkan operator kesulitan dalam mencari bahan baku yang akan dikirim ke lantai produksi dan mengakibatkan waktu pengambilan bahan baku menjadi lama sehingga akan terjadi keterlambatan dalam pengiriman ke lantai produksi. Tujuan dari penelitian ini adalah merancang model simulasi perbaikan tata letak gudang bahan baku dari area penyimpanan ke pintu keluar gudang yang dapat digunakan untuk mengevaluasi waktu pengambilan bahan baku dan waktu perpindahan bahan baku. Pada penelitian ini langkah awal yang dilakukan adalah mengevaluasi tata letak gudang bahan baku menggunakan checksheet untuk mengetahui kondisi gudang bahan baku saat ini dan menggunakan peta aliran proses pengambilan bahan baku untuk mengetahui aliran proses pengambilan bahan baku. Selanjutnya dibuat model simulasi awal tata letak gudang bahan baku untuk memahami sistem aktual tersebut. Model yang telah dibangun kemudian diverifikasi dan divalidasi. Jika model dinyatakan valid, dilakukan perbaikan terhadap permasalahan yang ada dengan memperbaiki tata letak gudang bahan baku dan penempatan bahan baku yang ada dengan menggunakan metode shared storage sebagai usulan tata letak gudang bahan baku. Penempatan baku baku, memperhatikan bahan baku yang memiliki tujuan yang sama dan dibuat ke dalam rak atau pallet yang sama maupun letaknya berdekatan antara rak atau pallet yang satu dengan yang lainnya sehingga mendapatkan waktu yang lebih singkat dalam proses pengiriman. Jumlah usulan perbaikan pada tata letak gudang bahan baku adalah 3 usulan. Usulan pertama adalah penambahan material handling, usulan kedua menggunakan metode shared storage dan usulan ketiga menggunakan metode shared storage dan penambahan material handling. Untuk pemilihan usulan terbaik digunakan metode benferonni dan menggunakan hasil evaluasi checksheet. Usulan yang terbaik adalah usulan ketiga dengan waktu pengambilan bahan baku dan perpindahan bahan baku ke pintu keluar gudang yaitu sebesar 71.18 jam. Dibandingkan dengan model simulasi awal yang memiliki waktu pengambilan bahan baku dan perpindahan bahan baku ke pintu keluar gudang sebesar 122.23 jam. Dari usulan terbaik ini diperoleh penghematan waktu sebesar 51.05 jam atau sebesar 41.76 %. Abstract— PT. Braja Mukti Cakra is a company engaged in manufacturing that produces high-precision machined products, in the form of automotive components in Indonesia. The problems that occur in PT. Braja Mukti Cakra is in a raw material warehouse, where the laying of raw materials is not optimal due to the absence of naming and distribution of types of raw materials on shelves or pallets in the warehouse. This causes the operator difficulty in finding raw materials to be sent to the production floor and results in a long time for taking raw materials so that there will be delays in delivery to the production floor. The purpose of this study is to design a simulation model for improving the layout of the raw material warehouse from the storage area to the warehouse exit which can be used to evaluate the time of taking raw materials and the time of moving raw materials. In this study, the initial steps taken were evaluating the layout of the raw material warehouse using a checksheet to determine the current condition of the raw material warehouse and using a flow map of the raw material retrieval process to determine the flow of the raw material retrieval process. Furthermore, an initial simulation model of the layout of the raw material warehouse is made to understand the actual system. The model that has been built is then verified and validated. If the model is declared valid, improvements are made to the existing problems by improving the layout of the raw material warehouse and the placement of existing raw materials using the shared storage method as the proposed layout of the raw material warehouse. Placement of raw materials, paying attention to raw materials that have the same purpose and are made into the same rack or pallet or located close to each other so that they get a shorter time in the delivery process. The number of suggestions for improvements to the layout of the raw material warehouse is 3 proposals. The first proposal is the addition of material handling, the second proposal uses the shared storage method and the third proposal uses the shared storage method and the addition of material handling. To select the best proposal, the Benferonni method was used and the results of the checksheet evaluation were used. The best proposal is the third proposal with the time of taking raw materials and moving raw materials to the warehouse exit, which is 71.18 hours. Compared with the initial simulation model which has a time of taking raw materials and moving raw materials to the warehouse exit of 122.23 hours. From this best proposal, the time savings of 51.05 hours or 41.76% was obtained.
Designing System Production to Increase Production Capacity Using Simulation Methods Hendra Setyo Haryadi; Moengin, Parwadi; Pudji Astuti
JURNAL TEKNIK INDUSTRI Vol. 13 No. 3 (2023): VOLUME 13 NO 3 NOVEMBER 2023
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v13i3.19144

Abstract

Intisari - PT. MF merupakan sebuah perusahaan manufaktur yang berorientasi dalam pembuatan produk transportasi air. Produk yang diangkat pada penelitian ini merupakan produk yang dibuat secara masal oleh PT. MF. Permasalahan yang dialami perusahaan ini adalah sistem proses dalam produksi belum terbentuk sehingga mempengaruhi kinerja dari produksi untung menghasilkan output dalam prosesnya. Tujuan penelitian ini untuk membuat dan mencarikan sistem proses produksi yang terbaik agar produktifitas atau kinerja produksi dapat meningkat. Rata-rata permintaan produk perminggunya yang dapat dihasilkan oleh bagian produksi sebanyak 10 unit, sedangkan rata-rata produk yang dihasilkan saat ini hanya berkisar 4 unit per minggu. Metode yang digunakan pada penelitian ini ada simulasi dengan bantuan software promodel. Sedangkan untuk data-data yang digunakan diperoleh dari hasil pengamatan, pengujian, pengukuran waktu kerja dan wawancara yang telah dilakukan kepada tim di lapangan. Dalam langkah awal penelitian dilakukan pengamatan dan analisa untuk mencari permasalahan inti yang terjadi. Setelah permasalahan ditemukan, lalu dilakukan analisa untuk pemecahan dari masalah tersebut sehingga akhirnya dilanjutkan untuk membuatkan model proses dengan cara simulasi.Pada saat pencarian model, dalam penelitian ini dilakukan beberapa rekayasa sistem yang dibuat untuk disimulasikan. Dari hasil analisa simulasi didapatkan 4 usulan model sistem proses yang dapat digunakan untuk mencapai peningkatan kinerja dari produksi. Dari ke-4 usulan tersebut terdapat 1 usulan yang dapat memberikan pengingkatan hasil output produksi menjadi 300 persen dari hasil sebelumnya dan dari 3 usulan yang lain dapat meningkatkan hasil output lebih dari 300 persen, yaitu sebnayak 15 unit per minggu. Peningkatan tersebut dapat dicapai dengan cara menambahkan beberapa stasiun kerja dan jumlah jam kerja setiap harinya. Abstract - PT. MF is a manufacturing company oriented in the manufacture of water transportation products. The product raised in this study is a mass-produced product by PT. MF. The problem experienced by this company is that the process system in production has not been formed so that it affects the performance of production to produce output in the process. The purpose of this research is to create and find the best production process system so that productivity or production performance can be increased. The average weekly product demand that can be produced by the production department is 10 units, while the average product currently produced is only around 4 units per week. The method used in this research is simulation with the help of promodel software. As for the data used, it was obtained from the results of observations, tests, and measurements of working time and interviews that have been conducted with the team in the field. In the initial steps of the research, observations and analysis are carried out to find the core problems that occur. After the problem is found, then an analysis is carried out to solve the problem so that finally it is continued to make a process model by means of simulation. From the results of the simulation analysis, there are 4 proposed process system models that can be used to achieve increased production performance. Of the 4 proposals, there is 1 proposal that can increase production output results to 300 percent from the previous results and from the other 3 proposals, it can increase output results by more than 300 percent, namely as many as 15 units per week. This increase can be achieved by adding several work stations and the number of working hours each day.
Analysis of Road User Satisfaction Passing Through The West Boulevard Highway and The Kelapa Gading - Pulo Gebang Toll Road Andhika Putri, Lisa; Pontan, Darmawan; Moengin, Parwadi; Inavonna, Inavonna
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.50378

Abstract

This study aims to analyze the satisfaction level of road users on Jalan Boulevard Barat Raya and the Kelapa Gading - Pulo Gebang Toll Road. Evaluating user satisfaction is crucial for assessing transportation infrastructure performance and prioritizing road maintenance and development. Using a quantitative approach, data was collected through questionnaires distributed to drivers and passengers of private and online four-wheeled vehicles. The research applied the Importance Performance Analysis (IPA) and Customer Satisfaction Index (CSI) methods, focusing on nine indicators from the Indonesian Ministerial Regulation No. 14 of 2017, including requirements, procedures, completion time, costs, service specifications, implementer competence, behavior, complaint handling, and facilities. The CSI results revealed that road users are "Very Satisfied" with both roads, with Jalan Boulevard Barat Raya scoring 90.7% and the Kelapa Gading - Pulo Gebang Toll Road scoring 90.85%. However, IPA analysis identified several variables in quadrant 1, indicating high importance but low performance. These variables include: (B1) reasonable tariffs without additional costs, (PP1) friendly and polite officers handling complaints, (SM1) availability of complaint forums, and (SP1) adequate supporting facilities. These findings highlight areas needing improvement to enhance user satisfaction further. Overall, the study underscores the importance of addressing specific service gaps to maintain high satisfaction levels among road users.
Analisis Keputusan Pemilihan Vendor pada Proyek Infrastruktur Kawasan Ibu Kota Negara (IKN) dengan Menggunakan Metode Rank Order Centroid (ROC) dan Simple Multi Attribute Rating TechniquE (SMART) Mahatmantong, Syafrullah; Moengin, Parwadi; Kurniyaningrum, Endah; Pontan, Darmawan
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i7.60497

Abstract

Di era pembangunan infrastruktur sekarang ini, kebutuhan akan vendor semakin meningkat. Vendor sebagai pihak penyedia sangat berperan penting dalam menentukan kualitas produk dan kelancaran proses konstruksi. Maka dari itu perusahaan perlu selektif dalam memilih vendor sebagai mintra bisnis. Pemilihan vendor sangat penting dilakukan oleh perusahaan untuk meningkatkan rantai pasok dan mendapatkan kualitas mutu produk yang baik. Oleh karena itu perusahaan perlu melakukan penilaian dan pemilihan terhadap kinerja dari setiap vendor. Proyek-proyek di Kawasan IKN merupakan proyek yang pengerjaannya dilakukan percepatan dari waktu yang ditentukan, sehingga perlu suatu strategi yang matang dalam merencanakan pengadaan material. Pengadaan material menjadi hal penting dalam keberlangsungan proyek, maka dari itu dibutuhkan strategi yang cepat dan tepat dalam pemilihan vendor untuk men-supply material yang dibutuhkan dalam pelaksanaan. Tujuan dari penelitian ini yaitu membuat strategi pemilihan vendor dengan pendekatan pengambilan keputusan menggunakan metode kombinasi Rank Order Centroid (ROC) untuk menghitung bobot kriteria dan Simple Multi Attribute Rating Technique (SMART) untuk menentukan alternatif terpilih. Metode penelitian ini dilakukan dengan penyebaran kuesioner untuk menentukan kriteria prioritas berdasarkan pendapat dari para expert judgment. Dari hasil pengolahan kuesioner diperoleh bahwa dari 13 kriteria hasil studi literature diperoleh 7 kriteria prioritas dalam pemilihan vendor, yang dilakukan perhitungan pembobotan kriteria dengan metode ROC, yang secara berurutan yaitu: kriteria Kualitas (37,04%), Harga (22,76%), Responsif (15,61%), Reputasi Perusahaan (10,85%), Metode Pembayaran (7,28%), Pengiriman (4,42%) dan Layanan (2,04%). Dan dari hasil pengolahan data juga diperoleh vendor terpilih dengan metode SMART untuk pengadaan Girder tipe I yaitu PT. Adhimix PCI, pengadaan Girder tipe U yaitu PT. Adhimix PCI, dan pengadaan baja tulangan BjTS 420B yaitu: PT. Buana Baja.
Key Factors in Improving the Sustainable Performance of Urban Drinking Water Services Agustin, Meilan; Moengin, Parwadi; Sari, Emelia; Rinanti, Astri; Abu, Mohd. Yazid
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 22, No 3 (2025): November 2025
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v22i3.712-722

Abstract

Water is a basic element for human survival, yet although 71% of the Earth's surface consists of water, only 1% of it is accessible to humans. Climate change, urbanization, and environmental issues are challenges experienced by the efforts of drinking water services in urban areas. In addition to providing sufficient drinking water, drinking water services must also pay attention to energy use and carbon emissions. This study aims to determine the factors that impact the sustainable performance of drinking water services in urban areas. The research method was conducted using bibliometric analysis. The analysis was conducted on 50 reputable articles with a publication period of 2013-2023, with the keywords urban water and municipal water. According to previous research, the water supply system in urban areas can be divided into three sub-systems: raw water, water treatment, and distribution. If associated with sustainability, the factors can be divided into economic factors, such as affordability, continuity, and quantity. Environment: pollution and carbon emissions. Social: accessibility and customer behavior. Most previous studies have focused only on economic aspects, further studies are needed to integrate all these factors into a performance measurement system to help decision-makers align strategic targets into operation level activities.
Determining The Dynamics of The Petroleum Buffer Reserve of Indonesia Prima, Andry; Moengin, Parwadi; Astuti, Pudji; Sari, Emelia; Nugrahanti, Asri; Jawaid Butt, Osama
Scientific Contributions Oil and Gas Vol 49 No 1 (2026)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v49i1.1987

Abstract

This study develops an integrated system dynamics and probabilistic Monte Carlo simulation framework to evaluate Indonesia’s Petroleum Buffer Reserve (PBR) strategy in alignment with Perpres 96/2024 and the nation’s broader energy security agenda. Monte Carlo simulation results reveal that only the scenario characterized by full import availability is capable of achieving the mandated 10.17-million-barrel reserve target, while all other scenarios consistently fail to accumulate sufficient stock under uncertainty. The probabilistic analysis further shows that this scenario yields a probability exceeding 98% of meeting or surpassing the target, in contrast to the near-zero success rates observed under restricted import conditions. Days-of-cover optimization highlights an additional strategic vulnerability: the current PBR target corresponds to only about 12 days of crude import protection. Building on the system’s dynamic behavior, this study recommends a minimum reserve target of 30 days as an immediately achievable benchmark. A 60-day reserve is identified as a feasible medium-term objective, provided that replenishment rates and storage capacity are enhanced. Achieving a 90-day reserve, consistent with international strategic stockpiling standards, would require substantial investment and diversification of supply sources. These findings underscore Indonesia’s structural dependence on imported crude oil and emphasize the need for assertive replenishment policies to strengthen national energy resilience
Optimization of Clean Water Supply Fulfillment Strategies at Water Treatment Plants in Industrial Areas Oktariyanti, Sonia; Moengin, Parwadi
Eduvest - Journal of Universal Studies Vol. 6 No. 5 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i5.52751

Abstract

The growing demand for clean water in industrial areas requires a reliable and sustainable supply system. However, water treatment plants are operating near capacity due to tenant growth, while high energy consumption, chemical cost fluctuations, and reactive maintenance increase operational and maintenance costs. This study aims to identify optimal strategies for meeting clean water demand in industrial water treatment plant service areas by optimizing operational costs and maintaining utility networks, including operations and maintenance (O&M) improvements, small capital expenditure (CAPEX) through supply chain management (SCM) implementation, and large CAPEX such as water treatment plant expansion or new construction. The research employed financial analysis based on present value (PV) and life cycle costing (LCC) with an analysis period of 20 years and a discount rate of 8%, based on historical water treatment plant operational data and investment estimates. Scenario and sensitivity analyses were conducted to strengthen decision-making. The results show that the O&M strategy is the most optimal and highest-priority strategy, as it provides the highest cumulative cost savings without upfront investment, with PV savings on OPEX and MEX of Rp230.07–677.51 million and Rp495.26 million in the moderate scenario, respectively. The small CAPEX strategy yielded a positive net present value (NPV) saving of IDR 51.48 million but was sensitive to initial investment levels and the degree of chemical cost savings. Meanwhile, the large CAPEX strategy has a total life cycle cost of IDR 57,415.00 million and is more appropriate as a medium- to long-term solution for increasing supply capacity and reliability. 
Bottleneck Analysis and Improvement in Apparel Manufacturing Production Processes Using Integration Design of Experiments and Discrete Event Simulation Muchtar, Diki; Moengin, Parwadi; Surjasa, Dadang; Cahyati, Sally
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.
A risk-constrained SARSA–FIS hybrid decision architecture with adaptive exploration control Fat, Joni; Moengin, Parwadi; Astuti, Pudji; Cahyati, Sally
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i3.pp1531-1542

Abstract

Algorithmic trading systems operate in highly dynamic and uncertain environments where learning-based decision agents must balance adaptability with strict risk control. Reinforcement learning (RL) methods provide adaptive policy optimization but often suffer from unstable exploration and limited interpretability in financial markets. This study proposes a risk-constrained SARSA–FIS hybrid decision architecture with adaptive exploration control for algorithmic trading. The framework integrates a compact SARSA-based reinforcement learning environment with a Sugeno-type fuzzy inference system (FIS) that converts reinforcement signals into interpretable trading decisions. Exploration follows a decaying ε-greedy policy with a drawdown-triggered reset mechanism to maintain bounded risk exposure during learning. The system was implemented as a MetaTrader 5 Expert Advisor and evaluated on the GBPUSD currency pair using historical market data. Experimental results show that the hybrid framework improves trading performance compared with a rule-based baseline. During a six-month out-of-sample evaluation, the system achieved a net profit of 90 USD and a profit factor of 1.35, compared with 10 USD and 1.02 for the baseline. Extended one-year testing confirmed stable profitability and controlled drawdown behavior. The results demonstrate that integrating reinforcement learning, fuzzy decision mapping, and explicit risk constraints provides a practical approach for developing adaptive trading agents.
Co-Authors A.A. Ketut Agung Cahyawan W Abu, Mohd. Yazid Adi Sucipto, Adi Agung Sasongko Agustin, Meilan Ahmad Farhan, Ahmad Amal Witonohadi Amelia Ayuningtyas, Amelia Andhika Putri, Lisa Andry Prima Aries Andjar Sulistyono Asri Nugrahanti, Asri Dadang Surjasa, Dadang Dian Mardi Safitri Diki Muchtar Diki Docki Saraswati Emelia Sari Endah Kurniyaningrum Fat, Joni Felia Indah Kusuma Firdaus, Ilyas Noor Habyba, Anik Nur Hendra Setyo Haryadi Ilham, Ahmad Inavonna, Inavonna Indah Permata Sari Iveline Anne Marie Jawaid Butt, Osama Khairunisa, Rahmi Mahatmantong, Syafrullah Manley Madya Kusuma Nabila, Shadrina Putri Nadya Adira Fabiani Narulita, Nadira Iswari Nilla, Nilla Oktariyanti, Sonia Pontan, Darmawan PUDJI ASTUTI Puspa, Sofia Debi Puspitasari, Fani Sally Cahyati Suryana, Yunita Friscilia Tiena Gustina Amran Widayanti, Nue Jihan Wiratama, Ivan Fahreza