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All Journal Jurnal Teknoin IPTEK Journal of Proceedings Series Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri International Journal of Industrial Optimization (IJIO) Jurnal Impresi Indonesia Journal Research of Social Science, Economics, and Management Sewagati Jurnal Pendidikan Siber Nusantara
Erwin Widodo
Departemen Teknik Sistem Dan Industri, Institut Teknologi Sepuluh Nopember, Kampus ITS, Keputih, Sukolilo, Surabaya 60111
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Analisis Availabilitas Perusahaan Pythalic Anhydride Berdasarkan Persediaan Spare Part dan Penyangga Nurhadi Siswanto; Nabila Yuraisyah Salsabila; Oryza Akbar Rochmadhan; Erwin Widodo
Teknoin Vol. 26 No. 1 (2020)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol26.iss1.art4

Abstract

Penelitian ini akan membahas perusahaan kimia yang memproduksi Pythalic Anhydride (PA) di Indonesia. Perusahaan ini memiliki kapasitas 70.000 Metric Ton Per Year (MTPY). Selama 2017, total waktu produksi adalah 6.699,8 jam atau rata-rata 23 hari. Namun, dibandingkan dengan kapasitas produksi, perusahaan dapat memenuhi permintaan dalam waktu 20 hari tiap bulannya. Waktu produksi minimum diperlukan untuk mencapai layanan pelanggan yang optimal dan biaya minimum. Perbedaan antara kapasitas dan kondisi yang ada disebabkan oleh penutupan pabrik. Penutupan pabrik disebabkan oleh kehabisan inventori material dan kerusakan mesin. Frekuensi penutupan pabrik relatif tinggi. Selama 2014 hingga 2017, pabrik ditutup 48 kali dengan MTTF 3,1 hari dan MTTR 23 jam. Analisis reliability, availability, dan maintainability (RAM analysis) dilakukan untuk mengatasi masalah ini. Secara khusus, penelitian ini akan fokus pada pengembangan skenario dengan melakukan percobaan pada inventori penyangga suku cadang untuk mengurangi waktu produksi dan meningkatkan availabilitas. Pendekatan simulasi digunakan dalam penelitian ini untuk memodelkan perilaku stokastik. Berdasarkan hasil percobaan, waktu produksi berkurang 232,7 jam dan availabilitas menjadi 0,8996.
A Model of Supplier Selection Under Vendor Managed Inventory Contract Zabrina Masud Mangka; Suparno Suparno; Erwin Widodo
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11134

Abstract

VMI is the main concept for gaining accurate information and information sharing from customers to suppliers to achieve low safety stock levels, efficient inventory cost, and a reduction of ordering cost. There are many suppliers who supply spare part products under the VMI contract. Therefore, the company needs to make a decision for selecting a qualified supplier in order to improve customer service level and customer satisfaction. In addition, the uncertainty and vagueness of the expert's opinion is the prominent characteristic of the problem. Therefore an extensively used multi-criteria decision-making tool AHP can be utilized as an approach for supplier selection problems. This paper reveals the application of AHP model determining the best supplier with respect to selected criteria for selecting the best supplier under the VMI contract among the alternatives. There are criteria in this study namely quality, price, delivery, service, supplier’s background, and Information technology which include thirty subcriteria covers in the VMI contract. This research might be identified the critical criteria for supplier selection under the VMI contract.
Measurement of Cost & Benefit for Implementation of Risk Management in the Production Process Muhammad Rosiawan; Moses Laksono Singgih; Erwin Widodo
IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (851.824 KB) | DOI: 10.12962/j23546026.y2019i5.6428

Abstract

The paper aims to measure the overhead costs and economic benefits of risk management activities in the production process - a manufacturing company. This research uses Activity Based Management (ABM) approach to allocate and track overhead costs in risk management activities. The overhead costs of risk management activities include the costs of identifying, analyzing, evaluating and controlling risks in order to achieve the quality objectives of the production process. The company obtains economic benefits, first, from reducing overhead costs incurred per period from the results of improvements to non-value-added or high-cost activities; second, cost savings obtained from the achievement of quality objectives per period. The results of this study indicate that the ABM approach used is appropriate in measuring the overhead costs and economic benefits of risk management activities in a business process
Throughput Analysis on a Multi-state Manufacturing System by Considering Availability Nabila Yuraisyah Salsabila; Nurhadi Siswanto; Erwin Widodo; Oryza Akbar Rochmadhan
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.302 KB) | DOI: 10.9744/jti.21.2.69-78

Abstract

Manufacturing technology becomes more complex as customer demand increases. Most manufacturing companies consist of multi-state manufacturing networks. Therefore, the reliability and availability parameters become an important issue to satisfy customer demand. Unavailability can result in reducing throughput because of decreasing operational production time. To resolve this problem, the buffer inventory can minimize the occurrence of material starving and production blocking during the equipment downtime. This paper will focus on experimenting with buffer inventory levels and the capacity of a multi-state manufacturing network to increase the production throughput on a company that has 70,000 tons per year of capacity. However, due to the unavailability problem, the existing system capacity decreases to 62,175 tons per year. The simulation model is used to improve throughput by modeling the failure interruption and the buffer inventory logics during the production process.
Pengembangan Ekosistem Halal Skema Self-Declare pada Kantin Departemen Teknik Sistem dan Industri Institut Teknologi Sepuluh Nopember Surabaya Nurhadi Siswanto; Hafidz Ridho; Mar'atus Sholihah; Retno Widyaningrum; Atikah Aghdhi Pratiwi; Erwin Widodo
Sewagati Vol 7 No 3 (2023)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v7i3.513

Abstract

Kebutuhan akan produk halal merupakan hal yang krusial di Indonesia mengingat Indonesia adalah negara dengan populasi umat muslim terbesar di dunia. ITS melalui Pusat Kajian Halal memiliki program pendampingan untuk memfasilitasi UMKM untuk mendapatkan sertifikat halal. Kegiatan pengabdian masyarakat ini merupakan bagian dari program tersebut dengan sasaran yaitu pelaku usaha pada kantin Departemen Teknik Sistem dan Industri ITS. Terdapat empat tahapan yang dilakukan dalam kegiatan pengabdian masyarakat ini, yaitu pelaksanaan pelatihan kader penggerak halal, pendampingan penyusunan sistem jaminan halal, bimbingan teknis pengajuan sertifikat halal, dan serah terima pemasangan plakat logo halal. Manfaat yang dihasilkan dari kegiatan ini yaitu meningkatnya kesadaran masyarakat mengenai pentingnya jaminan produk halal, sehingga program pemerintah dan Pusat Kajian Halal ITS untuk mendorong sertifikasi halal pada UMKM dapat terlaksana.
Assessment and Evaluation of the Implementation of a Vendor Management System (VMS) in Vendor Data Management Using the DeLone & McLean Method and Gap Analysis at PT PLN (Persero) Irsyad Ardhi; Erwin Widodo
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The management of vendor data at PT PLN (Persero) before the implementation of the Vendor Management System (VMS) faced fundamental issues, including data duplication of up to 40% among 110,936 registered vendors, data fragmentation across various applications, such as Eproc and SAP, which were not integrated with one another, and repetitive registration and evaluation processes conducted separately within each unit. This research aims to analyze the implementation of VMS in vendor data management, evaluate the quality of the system and its services, and formulate improvement strategies to optimize VMS implementation. The research employs a qualitative approach with a case study design. Data were collected through in-depth interviews with eight key informants selected using purposive sampling, direct observation, and document reviews. The evaluation of the implementation was conducted using the DeLone and McLean Information Systems Success Model, which comprises six dimensions: system quality, information quality, service quality, system use, user satisfaction, and net benefits. The results indicate that VMS has been successfully implemented as a Single Source of Truth (SSoT), replacing the previous fragmented system. VMS demonstrates strong performance in terms of usability perceived by both internal and external users, while VMS Corner services are highly valued by vendors. The implementation of VMS has generated significant human resource efficiencies, including a reduction in personnel requirements from 48 employees distributed across various units to 14–16 centralized employees (a savings of 65–70%), the elimination of physical administrative costs, and improved data accuracy through a dual-verification mechanism.
Optimize Billing Routes for Distance Minimization Using Qaco: Qgis Mapping and ANT Colony Optimization (ACO) Algorithms Nurul Sihabuddin; Erwin Widodo
Jurnal Impresi Indonesia Vol. 4 No. 6 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i6.6479

Abstract

The acceleration of PLN’s cash-in performance is significantly influenced by customers’ early payment behavior. Therefore, PLN requires a solution to shift the payment pattern of customers who frequently delay payments into making timely payments before the due date. One of the main causes of payment delays is the limited availability of payment counters, as well as customers forgetting to pay their electricity bills. This study analyzes customer electricity payment patterns over a six-month period at PLN ULP X, which is part of PLN UP3 XYZ. The analysis revealed that 7.87% of customers are recurring late payers, dispersed across various locations. To address this issue, a preventive collection strategy is required to reduce the occurrence of late payments. However, the implementation of preventive collection faces time constraints, as billman officers have limited availability due to other responsibilities. Thus, a supporting tool in the form of route planning is needed to minimize travel distance. In designing the collection route, the Traveling Salesman Problem (TSP) model is applied using geographic mapping through QGIS and optimized with the Ant Colony Optimization (ACO) algorithm. QGIS is used to map the distribution of late-paying customers based on geographic conditions. The study results show that the ACO algorithm successfully reduced the total travel distance to 1,022 km, compared to the existing condition of 4,300 km, resulting in a distance saving of 3,278 km (76.23%).
A smart city infrastructure implementation framework – insights from smart street lighting implementation optimization Maria Anityasari; Rizki Amrizal; Erwin Widodo; Sjamsjul Anam; Boon Cheong Chew
International Journal of Industrial Optimization Vol. 6 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v6i2.13307

Abstract

In recent years, the concept of smart cities and infrastructure has gained momentum as a solution to challenges such as population growth, resource management, and environmental sustainability. Rapid urbanization in many developing countries highlights the need for efficient infrastructure planning and management. This framework offers a structured approach for decision-making and resource allocation, enabling prioritization of investments to maximize limited resources while supporting development goals. The framework is tested through an analysis of the Smart Street Lighting Systems (SSLS) in Surabaya, Indonesia, addressing the city's intention to upgrade street lighting to reduce maintenance costs and energy consumption. Currently, the street lighting system faces issues including a high rate of broken or damaged lights and inefficiencies in handling complaints. However, limited funding and varied regional needs constrain any comprehensive upgrade. The proposed framework integrates the Analytical Hierarchy Process (AHP) to prioritize regions as weighting inputs, Mixed Integer Goal Programming (MIGP) to optimize the distribution of SSLS and conventional LED lighting across regions, and Cost-Benefit Analysis (CBA) to evaluate financial feasibility. Results recommend purchasing 11,915 new SSLS units with region-specific distributions, achieving a financially viable Benefit-Cost Ratio (BCR) of 2.059. These findings demonstrate practical implementation of smart city principles, balancing cost-efficiency, service performance, and stakeholder priorities. Policymakers can use this framework to maximize impact within budget constraints. This framework serves as a viable template for other regions and countries embarking on smart city infrastructure implementation.
Pengembangan Model Evaluasi Pembelajaran Kirkpatrick di PT PLN (Persero) dengan Menggunakan Structural Equation Modeling Rachmad Ariyadi; Sri Gunani Partiwi; Erwin Widodo
Jurnal Pendidikan Siber Nusantara Vol. 4 No. 3 (2026): Jurnal Pendidikan Siber Nusantara (Juli - September 2026)
Publisher : Siber Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jpsn.v4i3.705

Abstract

Abstrak: PT PLN (Persero) telah menggunakan model Kirkpatrick untuk mengevaluasi efektivitas pembelajaran, tetapi hasil tiap level masih cenderung dilaporkan secara terpisah. Kondisi ini membatasi bukti empiris mengenai hubungan kausal antara Reaction, Learning, Behavior, dan Result. Penelitian ini bertujuan menganalisis hubungan kausal antarlevel dalam model evaluasi Kirkpatrick di PT PLN (Persero) dengan Partial Least Squares Structural Equation Modeling. Data berasal dari evaluasi pembelajaran tahun 2025. Dari 775 data peserta, 151 data dinyatakan lengkap, dan 100 data acak digunakan sebagai sampel akhir berdasarkan perhitungan kebutuhan sampel minimum dengan G*Power. Evaluasi Reaction dan Learning diisi oleh peserta, sedangkan Behavior dan Result menggunakan pendekatan multisource yang melibatkan peserta dan atasan. Hasil menunjukkan bahwa Reaction berpengaruh positif dan signifikan terhadap Learning. Learning tidak berpengaruh signifikan terhadap Behavior. Behavior berpengaruh positif dan signifikan terhadap Result. Temuan ini menunjukkan bahwa pengalaman belajar yang positif mendukung hasil belajar, tetapi perubahan perilaku kerja membutuhkan dukungan organisasi, monitoring, peran atasan, dan required drivers. Model ini memberikan dasar evaluasi pembelajaran yang lebih terintegrasi dan berbasis data.
A Comparison of the Application of the Exponential Smoothing, Arima, and Random Forest Regression Methods for Forecasting Main Distribution Unit (MDU) Material Requirements at PT XYZ Puspa Ayu Kustia; I Nyoman Pujawan; Erwin Widodo
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i12.1648

Abstract

This study aimed to compare the performance of forecasting methods for MDU requirements at PT XYZ using weekly aggregated data. The materials analyzed included kWh meters and Miniature Circuit Breakers (MCBs). Three forecasting methods were compared: Exponential Smoothing as a deterministic approach, ARIMA as a stochastic time-series approach, and Random Forest Regression as a contemporary machine learning-based approach. ARIMA was selected because preliminary identification indicated that the weekly demand data did not exhibit strong seasonal patterns; therefore, a non-seasonal model was considered more appropriate. This research employed a quantitative approach using historical material usage data. The forecasting performance of each model was evaluated using forecasting error metrics, including Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE). Furthermore, statistical comparisons of forecasting errors were conducted to determine whether performance differences among the methods were statistically significant. The best-performing forecasting model was then used as the basis for developing preliminary recommendations for inventory policy. This study is expected to contribute scientifically to the selection of appropriate forecasting methods based on the characteristics of MDU demand data. In addition, it provides practical contributions for PT XYZ by supporting more objective, measurable, and data-driven procurement planning and inventory management.
Co-Authors Atikah Aghdhi Pratiwi Boon Cheong Chew Hafidz Ridho I Nyoman Pujawan Irsyad Ardhi Mar'atus Sholihah Maria Anityasari Moses Laksono Singgih Muhammad Rosiawan Nabila Yuraisyah Salsabila Nabila Yuraisyah Salsabila Nurhadi Siswanto Nurul Sihabuddin Oryza Akbar Rochmadhan Oryza Akbar Rochmadhan Puspa Ayu Kustia Rachmad Ariyadi Retno Widyaningrum Rizki Amrizal Sjamsjul Anam Sri Gunani Partiwi Suparno Suparno Zabrina Masud Mangka