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All Journal Jurnal Teknoin IPTEK Journal of Proceedings Series Jurnal Filsafat Proceeding International Conference on Information Technology and Business Neo-Bis Jurnal Teknobisnis International conference on Information Technology and Business (ICITB) Religi: Jurnal Studi Agama-agama Jurnal Sistem dan Manajemen Industri Jurnal Studi Manajemen dan Bisnis Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri IJOCE (International Journal of Offshore and Coastal Engineering) Matrik : Jurnal Manajemen dan Teknik Industri Produksi International Journal of Marine Engineering Innovation and Research JISO : Journal of Industrial and Systems Optimization Journal of Social Research COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Sewagati
Nurhadi Siswanto
2Department Of Industrial And Systems Engineering Institut Teknologi Sepuluh Nopember, Surabaya
Religion Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Maintenance Strategy for Pressure Vessel at Offshore Platform Using RBI Method Muhammad Ali Reza; Muhammad Badrus Zaman; Nurhadi Siswantoro
International Journal of Marine Engineering Innovation and Research Vol 8, No 4 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v8i4.19550

Abstract

The increasing complexity of installations and operations of oil and gas facility, the growing public awareness need to ensure higher levels of safety have give a high pressure to designers and operators to find innovative solution to ensure a safe and economically viable operation. RBI is one of the solution can be used. RBI is a popular method and trusted for measure and develop inspection plan also provide many advantage such as plant availability, decrease failure happen, decrease risk level based on its failure and decrease inspection cost caused for production facility. The use of RBI can help in determining the inspection schedule of pressure vessel V-001 at offshore platform. RBI method determine the risk level of the object by calculate the probability of failure and consequence of failure of the object based on API 581. The result obtained for probability of failure V-001 is 0.000127099 (left head), 0.000123717 (shell) and 0.000131098 (right head) and the consequence of failure is 438.934 m2. The risk analysis of V-001 is categorized as medium level with recommendation inspection is 5 years for external inspection and 10 years for internal inspection with recommendation inspection use ultrasonic test, visual test, edy current and radiographic test.
Penetapan Strategi Ekonomis Biaya Termal Biomassa Sebagai Bahan Bakar Alternatif di Industri Semen Bangkit Nadyo Priambodo; Nurhadi Siswanto
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i1.14854

Abstract

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PERBAIKAN KINERJA TURNAROUND OPERATIONS DI BANDARA DENGAN MEMPERTIMBANGKAN KETIDAKPASTIAN CUACA Baihaqy, Ahmed Raecky; Siswanto, Nurhadi; Latiffianti, Effi
JISO : Journal of Industrial and Systems Optimization Vol. 6 No. 2 (2023): Desember 2023
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v6i2.131-139

Abstract

Aviation has become an important aspect in human life thanks to its ability to transport people to faraway places with short duration and relatively low cost. However, aviation activities are highly influenced by uncertain events such as weather conditions. One of the activities that is impacted by these 2 events is turnaround operations. Turnaround operations is an activity performed to prepare aircraft for the next flight. This research aims to evaluate and improve turnaround operations performance both from relative duration tardiness (?T%) and on-time performance (OTP) using discrete-event simulation approach. Results obtained from simulation model show that the value of ?T% is 43.48% and OTP of 54.20%. Improvement scenarios are developed by arranging the new ground support staff (GSS) schedule and allocation as well as adding GSS at a certain rate. Scenario of implementing new schedule and allocation and adding GSS with rate of 50% comes out as the selected scenario which could improve ?T% and OTP performance to become 33.35% and 54.91% respectively. Aviasi telah menjadi aspek yang penting bagi manusia karena kemampuannya untuk membawa manusia ke tempat yang jauh dengan durasi singkat dan biaya yang relatif rendah. Akan tetapi, kegiatan aviasi sangat dipengaruhi oleh kejadian yang tak pasti seperti kondisi cuaca. Salah satu kegiatan yang terdampak oleh kedua kejadian ini adalah turnaround operations. Turnaround operations merupakan kegiatan yang dilakukan untuk mempersiapkan pesawat untuk penerbangan selanjutnya. Penelitian ini bertujuan untuk mengevaluasi dan memperbaiki kinerja turnaround operations baik dari sisi durasi keterlambatan relatif (?T%) maupun on-time performance (OTP) menggunakan pendekatan simulasi kejadian diskrit. Hasil yang diperoleh dari model simulasi menunjukkan bahwa nilai ?T% sebesar 43.48% dan OTP sebesar 54.20%. Skenario perbaikan dikembangkan dengan menyusun penjadwalan dan alokasi ground support staff (GSS) yang baru dan penambahan GSS dengan tingkat tertentu. Skenario dengan menerapkan jadwal dan alokasi baru serta penambahan GSS sebesar 50% keluar sebagai skenario terpilih yang mampu memperbaiki nilai ?T% dan OTP menjadi 33.35% dan 54.91% secara berturut-turut. 
ANALISIS BOTTLENECK DAN PENINGKATAN KINERJA LINI PRODUKSI PADA INDUSTRI MAKANAN DENGAN PENDEKATAN SIMULASI Baihaqy, Ahmed Raecky; Muhammadi, Hamdan; Siswanto, Nurhadi
JISO : Journal of Industrial and Systems Optimization Vol. 8 No. 1 (2025): Juni 2025
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v8i1.1-9

Abstract

ABSTRAK Sebuah lini produksi dirancang untuk memastikan bahwa aktivitas produksi berlangsung lancar dengan output maksimal. Namun, kelancaran lini produksi dapat terganggu jika terjadi bottleneck dalam aktivitas atau proses tertentu, yang dapat menurunkan tingkat produksi secara signifikan. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis bottleneck dalam lini produksi industri makanan menggunakan pendekatan simulasi. Hasil simulasi kondisi eksisting menunjukkan bahwa proses packing menjadi bottleneck utama. Melalui skenario perbaikan berupa kombinasi penugasan mesin manual packing yang lebih fleksibel dan penambahan konveyor, simulasi membuktikan bahwa throughput produksi per jam dapat meningkat sebesar 8,6%. ABSTRACT A production line is designed to ensure that production activities run smoothly and achieve maximum output. However, its smooth operation can be disrupted if a bottleneck occurs in certain activities or processes, significantly reducing the production rate. This research aims to identify and analyze bottlenecks within a food industry production line using a simulation-based approach. The simulation results of the existing conditions indicate that the packing process is the primary bottleneck. Through an improvement scenario involving a combination of more flexible manual packing machine assignments and the addition of conveyors, the simulation demonstrated that hourly production throughput could increase by 8.6%.  
Modeling of Supplier Selection Strategy And Raw Material Order Allocation With Analytic Hierarchy Process Approach and Linear Programming at PT. IKSG Zulaihan, Ahmad; Siswanto, Nurhadi
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.17484

Abstract

The dynamics and challenges of the business environment require companies to adapt quickly and responsively to changes. The ability to meet customer expectations through quality products and services at competitive prices is the key to the company's sustainability. A reliable supply chain plays an important role in this matter, not only ensuring economic efficiency, but also paying attention to social and environmental aspects. Trusted suppliers are the main support to ensure the availability of quality raw materials, competitive costs, and are supported by good after-sales service. This research aims to develop an integrated model to overcome the problem of supplier selection and raw material order allocation at PT. IKSG. The model combines the Analytic Hierarchy Process (AHP) and Linear Programming approaches. AHP is used to objectively evaluate and determine the best supplier selection, while Linear Programming allocates the optimal order quantity to each of the selected suppliers. The study's results successfully identified the criteria for selecting suppliers that support the concept of sustainability. The three main criteria obtained were economic (weight 63.16%), environment (weight 26.67%), and social (weight 10.17%). Economic criteria have subcriteria of quality, cost, availability, flexibility, delivery, and finance. Environmental criteria have subcriteria for waste management, reputation, and environment-related certificates. Social criteria have subcriteria for the rights of employees, working hours, and worker safety. From the evaluation of six alternative suppliers, the three best suppliers were selected. The optimal allocation of raw material orders is allocated to SDP (S1), PT (S5) and SCG (S6) in order.
Optimasi Rute Penggantian Kwhmeter Pascabayar dengan K-Means dan Algoritma Genetika Dewandhika, Defriko Christian; Siswanto, Nurhadi
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 3 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i3.3244

Abstract

This research is driven by the need of PLN Distribution Main Unit to mitigate the extreme risk of high account balances on the 21st of each month, which can disrupt cash flow and financial performance. One mitigation strategy is replacing conventional kWh meters with Advanced Metering Infrastructure (AMI), or two-way meters, which allow remote disconnection. The purpose of this study is to prioritize customers for meter replacement based on limited material availability and to optimize replacement routes under restricted team resources. The method used involves the K-means algorithm for customer segmentation, validated by silhouette score, which resulted in six optimal clusters. Genetic algorithm was then applied to determine the most efficient routes based on distance and time. The results showed that the optimal route had a minimum total travel distance of 1,434.29 km and a total time of 18,868.58 minutes, using a population size of 50 chromosomes and 500 generations. This study is expected to offer an effective solution for improving operational efficiency and risk mitigation at PLN.
Improving Coal Loading and Unloading Performance at Loading and Unloading Terminals with Lean Thinking Concept Ridho, Alvin Ichwannur; Siswanto, Nurhadi
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): 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.v4i12.927

Abstract

The coal mining logistics industry in Indonesia has a strategic role as the world's largest coal producer, with a significant contribution to state revenue. This study aims to analyze the main obstacles, wastes that occur, and proposed improvements in the coal loading and unloading process at PT XYZ to increase efficiency and productivity through a lean thinking approach. The methodology of this research includes a qualitative approach through value stream mapping and quantitative using fishbone diagrams to produce a comprehensive analysis. The analysis is carried out through process activity mapping, the preparation of current state maps, and the design of future state maps to provide suggestions for improvement. Based on the results of the study, several recommendations for improvement were obtained from the results of the analysis on coal unloading or loading activities which included Value Added (VA) or Necessary but Non-Value Added (NNVA). The proposed improvements include the application of double crossing dismantling methods, digitization of administrative processes, and the use of drone technology to facilitate the physical inspection process in the field. If the proposal can be implemented, there will be an increase in the time effectiveness of coal loading and unloading activities by 14.20%, with details of unloading activities increasing by 25.30% or from 1,004 minutes to 750 minutes, and coal loading activities by 3.10% or from 3,067 minutes to 2,972 minutes.
Control of Key Distribution Material Requirements (MDU) in Meeting the Demand for New Installations and Power Changes in Utility Companies Syaputra, Oktavian; Siswanto, Nurhadi
Journal of Social Research Vol. 4 No. 8 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i8.2741

Abstract

Inventory control in utility companies is crucial due to its potential to improve the achievement of sales revenue ratios in serving New Connection (PB) and Power Change (PD) requests. In inventory management, accurate demand planning is essential to minimize both excess and shortage of materials. The inaccuracy in calculating inventory parameters for Distribution Main Materials (MDU), especially for PB and PD, is primarily due to the lack of consideration for demand uncertainty, often resulting in stockouts or overstock. This study aims to optimize inventory management and minimize MDU inventory costs based on the company's inventory policy by classifying MDU according to criticality levels ABA, ABB, and ABC. Short-term forecasting is conducted using exponential smoothing or double exponential smoothing, selecting the method with the smallest forecasting error. Inventory parameters are calculated using the Continuous Review (s,S) and Periodic Review (R,s,S) methods, compared against the company's current condition, and the most optimal policy is selected under stochastic demand conditions. After selecting the best parameters among the three policies, total inventory cost and Service Level per MDU are calculated using Material Requirement Planning (MRP) simulation. By applying inventory policy parameters using the Periodic Review method (R,s,S), the total inventory cost and Service Level for each MDU classification (ABA, ABB, ABC) vary, with an average inventory cost of IDR 76 billion for ABA, IDR 3.6 billion for ABB, and IDR 844 million for ABC, and a Service Level of 98%. This allows the company to achieve inventory cost savings of up to 70% within 36 months compared to the current condition.
Optimasi Rute Penggantian Kwhmeter Pascabayar dengan K-Means dan Algoritma Genetika Dewandhika, Defriko Christian; Siswanto, Nurhadi
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 3 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i3.3244

Abstract

This research is driven by the need of PLN Distribution Main Unit to mitigate the extreme risk of high account balances on the 21st of each month, which can disrupt cash flow and financial performance. One mitigation strategy is replacing conventional kWh meters with Advanced Metering Infrastructure (AMI), or two-way meters, which allow remote disconnection. The purpose of this study is to prioritize customers for meter replacement based on limited material availability and to optimize replacement routes under restricted team resources. The method used involves the K-means algorithm for customer segmentation, validated by silhouette score, which resulted in six optimal clusters. Genetic algorithm was then applied to determine the most efficient routes based on distance and time. The results showed that the optimal route had a minimum total travel distance of 1,434.29 km and a total time of 18,868.58 minutes, using a population size of 50 chromosomes and 500 generations. This study is expected to offer an effective solution for improving operational efficiency and risk mitigation at PLN.
Co-Authors -, Elisabeth Adhi Iswantoro Adianto, Asyraf Nur Agoes Santoso Aguk Zuhdi Muchamad Fathallah Ahadyanti, Gita Marina Ahmad Rusdiansyah Alfa Muhammad Megawan Andi Irma Arianty Ardi Nugroho Yulianto Aris Setya Yuwana Asyraf Nur Adianto Asyraf Nur Adianto Atikah Aghdhi Pratiwi Aydin Doğan Bachtiar Rosihan Aghda Baihaqy, Ahmed Raecky Bangkit Nadyo Priambodo Cahyono, Beny Danim Musthofa Defriko Christian Dewandhika Dewi Sartika Dimas Fajar Prasetyo Effi Latiffianti Eko Nurmianto Elisabeth - Erwin Widodo Erwin Widodo Erzad Iskandar Putra Fakher Shwan Rafeek Faris Zulfar Rosyadi Fathallah, Aguk Zuhdi Muhammad Hadi, Herry Sufyan Hafidz Ridho Hari Prastowo Hasan Aji Prawira Hasan Aji Prawira Imam Trio Utama Irfan Zidni Iwan Febrianto Jamal Ramadhan Khoirunnisa Mahdiyah Syawalina Madina Nur Pratiwi Mar'atus Sholihah Maulin Masyito Putri Muhammad Ali Reza Muhammad Badrus Zaman Muhammad Badrus Zaman Muhammad Naufal Bintang Muhammad Saifulloh Muhammadi, Hamdan Musthofa, Danim Nabila Yuraisyah Salsabila Nabila Yuraisyah Salsabila Nugroho, Dwi Oktavianto Wahyu Oryza Akbar Rochmadhan Oryza Akbar Rochmadhan Prasetyo, Dimas Fajar Prawira, Hasan Aji Prayoga, Dharma Gita Surya Priyanta, Dwi Priyanta, Dwi Retno Widyaningrum Reza Tianto Ridho, Alvin Ichwannur Rochmadhan, Oryza Akbar Salsabila, Nabila Yuraisyah Semin Semin Semin Semin Semin Semin Semin Septia Hardy Sujiatanti Septian Cahya Shaneza Fatma Rahmadhanty Stefanus Eko Wiratno Sukriyah Kustanti Moerad Sukriyah Kustanti Moerad Syaputra, Oktavian Teguh Putranto Trika Pitana Utama, Danu Wolfgang Busse Yani Dhina Mirenani Yani Dhina Mirenani Yuda Apri Hermawan Zulaihan, Ahmad Zya Labiba Zya Labiba