cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fitriadi
Contact Email
fitriadi@utu.ac.id
Phone
-
Journal Mail Official
jopt@utu.ac.id
Editorial Address
Jurusan Teknik Industri Fakultas Teknik Universitas Teuku Umar, Alue Peunyareng 23615 Aceh Barat.
Location
Kab. aceh barat,
Aceh
INDONESIA
Jurnal Optimalisasi
Published by Universitas Teuku Umar
ISSN : 24775479     EISSN : 25020501     DOI : https://doi.org/10.35308/jopt
Core Subject : Engineering,
Control & Systems Engineering Industrial & Manufacturing Engineering
JURNAL OPTIMALISASI (JOPT) merupakan jurnal elektronik online yang diterbitkan oleh Program studi Teknik Industri, Fakultas Teknik, Universitas Teuku Umar. JOPT memuat kajian dibidang Manufaktur, Ergonomi dan Manajemen Rantai Pasok. Tujuan penerbitan jurnal optimalisasi adalah sebagai wadah publikasi yang mewadahi kebutuhan peningkatan kualitas karya ilmiah dalam rangka pengembangan keilmuan dan menyebarluaskan kajian bidang ilmu Teknik Industri, sekaligus sebagai wahana komunikasi diantara cendekiawan, praktisi, mahasiswa dan pemerhati masalah Industri. JOPT terbit dua kali dalam setahun, tepatnya pada bulan April dan Oktober. Bagi pembaca, penulis, dan yang melakukan akses situs jurnal yang ingin submit naskah ke jurnal ini, silakan mendaftar sebagai author kemudian login untuk submit naskah. Informasi penulisan dan submit naskah dapat diakses di author guidelines dengan mengikuti pentunjuk di situs jurnal.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 249 Documents
 19   20   21   22   23 
Implementasi Prediksi Penyakit Jantung Menggunakan Data Mining Untuk Dunia Kesehatan Arta, Mikhael Chandra; Anwar, Nur; Putri, Yulia Aneke; Suharjito, Suharjito; Asroll, Muhammad
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i1.9075

Abstract

Jantung merupakan organ vital manusia yang sering menjadi penyebab kematian tertinggi. Penyakit jantung dapat diketahui dengan cara pemeriksaan dokter atau sejumlah tes kesehatan. Saat ini, perusahaan perlu memprediksi karyawannya yang kemungkinan memiliki riwayat atau calon pengidap penyakit jantung untuk mengurangi risiko kematian. Tindakan yang dilakukan dapat menggunakan pembelajaran mesin. Pembelajaran mesin memang dapat membantu dalam identifikasi awal penyakit dan meningkatkan hasil pengobatan. Sistem ini mampu memprediksi yang dapat membantu prediksi diagnosis penyakit jantung secara cepat dan akurat. Penelitian ini bertujuan untuk prediksi diagnosis penyakit jantung secara cepat dan akurat dengan menggunakan algoritma terbaik. Algoritma yang digunakan untuk melakukan prediksi yaitu Decision Tree, Gradient Boosted, dan Random Forest. Untuk prediksi, atribut yang digunakan adalah usia, jenis kelamin, tekanan darah, kolesterol, gula darah, detak jantung, jenis sakit dada dan tambahan adalah hasil pemeriksaan fisik lainnya. Dari hasil yang diperoleh, Gradient Boosted adalah algoritma yang memiliki AUC, presisi dan recall tertinggi dengan 86.6%.
Pengendalian Risiko Kecelakaan Kerja Menggunakan Metode Job Sefety Analysis Pada Pekerjaan Glass Cleaning Di PT. KSO APS ISS Jawad, Aod Abdul; Nurrokhman, Agus
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i01.9209

Abstract

The KSO APS ISS company is one of the cleaning companies in Indonesia which is located in the Tangerang Banten area. In carrying out its work cycle operations, it uses a lot of chemicals, heavy level machines and potentially dangerous B3 materials. During work there are various potential and risk factors that cause work accidents and work-related illnesses. Company performance, especially in terms of work productivity, is often disrupted as a result of ignoring occupational safety and health rules in carrying out work. The aim of this research is to find out what factors cause work accidents and how to prevent or control risks in Glass Cleaning work in order to reduce the occurrence of work accidents. This research uses the Job Safety Analysis method. The Job Safety Analysis method is a way to look at work techniques and find dangers from the design of machines, equipment, materials, climate and work processes needed by workers to do their work. The research design used is qualitative which is used to describe explanations related to hazard identification, risk evaluation and risk control in glass cleaning work. The results of research using the JSA identification method contained no extreme and high risk jobs, 3 medium risk jobs and 5 low risk jobs.
Perencanaan Produksi UMKM dengan Menggunakan Pendekatan Metode Transportasi Saputra, Arie; Sandika, Frendi
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i1.9420

Abstract

Micro, Small and Medium Enterprises (MSMEs) are an important part of the Indonesian economy. Many micro, small and medium enterprises (MSMEs) are making new innovations in the fields of handicrafts, food and drinks, among others. The development of MSMEs faces demands that change every month. To meet this demand, they must carry out optimal production planning. Production planning and control can be used as a reference for determining production quantities and forecasting product demand. By carrying out good production planning and control, MSMEs can reduce or anticipate risks, thereby increasing their profits. Coconut jelly MSMEs are one of the businesses that are also affected by poor production planning. On average, in 2023 there will be an excess production of 150 pieces per month. For small and medium businesses (MSMEs), fluctuations of this magnitude are very disruptive to company finances. Effective production planning should be able to optimize the use of all organizational resources, including raw materials, materials, labor and finance. This article carries out production planning using a transportation method approach. Initial planning is carried out following a pattern of forecasting the number of requests in the future. Forecasting is carried out using 3 methods, namely single moving average, double exponential smoothing and trend analysis. Of these three methods, the one with the smallest Mean Square Error (MSE) value will be selected. Production planning will be outlined in the Master Production Schedule (JIP). Determination of JIP is based on the results of production planning through 2 alternatives, namely permanent and changing workforce. From the results of the transportation method approach, it was found that the minimum production cost was found in the variable labor alternative, namely IDR 178,326,000, there was a cost difference from the fixed labor alternative of IDR 1,451,200. The approach method used in this article still needs a lot of improvement, especially in terms of determining the cost of each production component which can be more dynamic. The approach that can be taken can use heuristic methods such as genetic algorithms. So, it is hoped that the results obtained can be closer to reality.
Analisis Pengendalian Kualitas dengan Metode DMAIC pada Perusahaan Kertas Karton Sihombing, Rustam; Arifin, Moh. Mawan; Annisa, Rhaina
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10068

Abstract

The very rapid development of the industrial world will have an impact on competitive competition between one company and another. Increasingly tight competition between companies means that companies must continue to improve the quality of the products they produce in order to produce good quality. This research aims to identify the causes of paper product defects in production units and analyze and improve product quality using the Six Sigma method. Data was collected through field observations and interviews, then analyzed using DMAIC (Define, Measure, Analyze, Improve, Control) analysis, a framework that aims to improve quality and efficiency by identifying and eliminating the causes of defects or problems in business processes. The analysis results show that the current sigma level is 2.907 with the largest product defect being color defects with a percentage of 37.77% caused by human, machine, material, method and environmental factors. The repair stage is carried out using FMEA (Failure Mode and Effects Analysis) to identify potential problems and determine recommendations for improvement. Recommendations for improvement activities in quality control emphasize regular monitoring and repair of machines as a guide for operators to maintain consistency in carrying out work procedures, increasing the frequency of regular machine inspections, especially for machines that frequently result in defective products, routine replacement of spare parts and repairs. environmental conditions to be carried out in accordance with the initial design of the equipment. And it is hoped that the activities carried out in improving quality control, emphasizing regular supervision and repair of machines, are expected to be able to increase productivity and quality of work produced and can increase profits for the company.
Identifikasi Penyebab Kerusakan Mesin Pompa pada Sistem Distribusi Air PDAM Menggunakan FMEA dan LTA Irawan, Heri Tri; Pamungkas, Iing; Akmal, Abdiel Khaleil; Pandria, T.M. Azis; Sofiyanurriyanti, Sofiyanurriyanti; Hasnita, Hasnita; Azhar, Azhar
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10449

Abstract

The existence of a Regional Drinking Water Company (PDAM) is very important in maintaining the continuity of the clean water treatment process running smoothly and well. Maintenance of clean water distribution machines and equipment is a matter that requires attention because damage to one of the machines or equipment can cause a cessation of processing activities which results in losses for companies and services. Damage to the water distribution machine in PDAM Tirta Mountala is unavoidable and this happens frequently. This happens because the damage is not properly identified, either in preventive maintenance or in anticipating appropriate action. The purpose of this study is to identify the cause of the damage and propose maintenance actions on the clean water distribution pump machine in PDAM Tirta Montala Aceh Besar. The failure mode and effect analysis (FMEA) and logic tree analysis (LTA) approaches are used to anticipate this. FMEA is an approach used to identify and analyze potential failures and their consequences. Meanwhile, LTA aims to prioritize each damage mode and carry out reviews and functions, malfunctions so that the damage mode status is not the same. There are eighteen water distribution pump components with the highest damage frequency. Based on the results of the FMEA, five components with the highest RPN or the highest risk were obtained, namely the vane, stuffing box, bearing bracket support, shaft and bearing components. The five components were then analyzed through LTA and maintenance tasks with several proposed actions including repair, component replacement, welding, thermography, and re-measurement with a vibration meter.
Peningkatan Kualitas Throat Weld pada Hasil Penetrasi Produk Bracket Spring dengan Metode DMAIC di Perusahaan Komponen Otomotif Prahara, Rahayu Budi; Wahyudi, Wahyudi; Sahrirudin, Wandi
Jurnal Optimalisasi Vol 11, No 1 (2025): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i1.11611

Abstract

Component Automotive Indutry is a manufacturing company that focuses on making chassis frames and press parts, with the production delivered to ATPM (Single Agent Brand Holder) customers. One of the production lines at Component Automotive Indutry is the non-frame sub-assembly using welding robot A, which produces various components, such as spring bracket no. 1, spring bracket no. 2, spring bracket no. 3, and engine mounting bracket. To ensure welding quality, Component Automotive Indutry conducts various tests, including welding penetration tests, which are carried out in the company's laboratory using samples in accordance with the Quality Control Process Chart (QCPC). Over the past three months, the penetration test results on the spring no. 1 bracket showed a penetration rate of 82%, which did not meet the ATPM company's minimum standard of 100%. Faced with this problem, this study uses the DMAIC (Define, Measure, Analyze, Improve, Control) method to conduct process analysis and improvement. In the Define stage, the main problem identified was item throat penetration that did not meet the standard. The Measure stage then set a target of 100% penetration improvement. In the Analyze stage, the main causes of penetration instability were analyzed, identifying the vertical welding position as the main causal factor. The Improve stage was carried out by changing the welding position of the throat item from vertical to horizontal using a temporary jig. This change aimed to maintain gravity stability and achieve consistent penetration in accordance with the minimum standard of 4.2 mm. After conducting 9 trials, the improvement results showed that the welding penetration achieved 100% stability. The Control phase ensured that the implemented changes were continuously maintained to ensure consistent quality. This study concludes that changing the welding position from vertical to horizontal is significant in improving the quality and consistency of weld penetration on bracket spring no. 1 products at Component Automotive Indutry The findings underscore the importance of evaluating and adjusting the welding process to meet the quality standards set by customers.
Analisis Pengendalian Kualitas Produk Cover 012 dalam Mengurangi Jumlah Cacat Produk Menggunakan Metode Seven Tools di Pt Sinergi Pari Jaya Abadi Candra, Adi; Nugroho, Rendra Bagus Sapto; Taufik, Agus
Jurnal Optimalisasi Vol 11, No 1 (2025): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i1.11643

Abstract

This study discusses defect control, focusing on the identification and handling of defects in various sectors, such as industry. The aim of the research is to analyze the main causes of defects and evaluate the control strategies that have been implemented. Using a data-driven approach and analytical methodology, this study provides recommendations to improve the effectiveness of defect control, minimize its impact, and create more integrated policies. The research results are expected to contribute to the development of more targeted company policies in reducing defects in various fields. PT Sinergi Pari Jaya Abadi, a company engaged in the production of various products, including Cover 012 products, faces challenges in maintaining consistent quality. One of the main issues faced by the company is the high defect rate in Cover 012 products, which affects increased production costs, reduced efficiency, and decreased customer satisfaction. This research aims to analyze the quality control of Cover 012 products at PT Sinergi Pari Jaya Abadi using the Seven Tools method. The study uses descriptive and qualitative methods with a Seven Tools approach to identify the root causes of product defects and propose improvements. The results show that the most dominant defect is NG Over Taping, accounting for 62.16% of the total identified defects. Fishbone Diagram analysis indicates that the causes of product defects include human, machine, and material factors. Proposed improvements include regular calibration to ensure machines continue to operate according to specifications, improving communication between the design, production, and QC teams to ensure a shared understanding of product sizes, and implementing a periodic inspection system during the taping process to detect errors early
Perencanaan Analisis Pengendalian Kualitas Untuk Menurunkan Cacat Thickness Produk Kemasan Sauce Powder Pada Mesin Extruder Dengan Metode Failure Mode and Effect Analysis (FMEA) Sinaga, Zulkani; Muhazir, Achmad; Dewi, Deby Cika
Jurnal Optimalisasi Vol 11, No 1 (2025): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i1.11709

Abstract

PT. XYZ Packaging Division is a company engaged in the food sector, especially the packaging sector. In 1 year of sauce powder packaging production, there were defective products produced exceeding the company's permitted limits, and the highest defect value was 4.7%. The highest percentage of defects occurred in the extruder process, this study will focus on the analysis of defective products produced from the extruder process. The high level of defective products in the sauce powder packaging production process occurs in the extruder process, namely thickness variation type defects. To reduce the level of defective products that occurred in this study, failure mode and effect analysis (FMEA) and seven tools were used, this method can analyze and reduce the level of product defects through a product failure model based on calculations of severity, occurrence and detection, then the RPN (risk Priority Number) value will be known, the cause of failure that has the highest RPN, that is the possible cause of high defects produced in the production process. From the results of the study, it is known that the dominant factor that causes the high level of defects in thickness variations is caused by dirty material factors and problematic machine factors in the polymer flow process. The results of problem solving with FMEA and seventools obtained a significant reduction in the level of defects in the extruder process from 3% to 1.4%, the recommended improvement results can reduce the level of defects in the extruder process to below the standard set by the company, which is 2.5%.
Analisis Risiko Bahaya Ergonomi pada Lingkungan Kerja Unit Laundry Rumah Sakit dengan Metode Hazard and Operability Study (HAZOP) Lestari, Suci Ayu; Huda, Listiani Nurul; Ginting, Rosnani; Safitriyawi, Roja; Ulfah, Tya
Jurnal Optimalisasi Vol 11, No 1 (2025): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i1.11918

Abstract

Hospitals as health and social organization bodies provide treatment, hospitalization, outpatient care, and various other activities carried out by workers both medical and non-medical, where interactions that occur dynamically and continuously have the potential for very risky hazards. This study aims to identify potential ergonomic hazards that exist in every work activity in the hospital laundry unit, especially those that can affect the comfort, safety and health of laundry workers. The identification of potential work hazards is conducted using the Hazard and Operability Study (HAZOP) method to evaluate ergonomic hazard risks. This evaluation is used to determine handling priorities based on the severity and likelihood of the occurrence of ergonomic hazards in hospital laundry. The results of the risk analysis found that the level of hazard risk in the hospital laundry unit is at a high level in the dirty linen collection section with the risk of exposure to contaminated linen with a total score of 15. Next in the weighing, separating and calculating section which comes from lighting with a total score of 12, awkward posture when lifting wet linen with a total score of 12, and finally in the drying section caused by machine noise with a total score of 12.
Penerapan Lean Six Sigma untuk Peningkatan Kualitas Crude Palm Oil (CPO) di Pabrik Kelapa Sawit Saputra, Arie; Hutagalung, Irna Monica; Fitriadi, Fitriadi
Jurnal Optimalisasi Vol 11, No 1 (2025): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i1.11854

Abstract

This study aims to improve the quality of Crude Palm Oil (CPO) production at PT. Beurata Subur Persada through the Lean Six Sigma approach. The main problem faced by the company is the non-conformity of CPO quality to standards, especially Free Fatty Acid (FFA) levels, water content, and dirt content. To systematically identify and overcome the causes of defects, this study uses the DMAIC (Define, Measure, Analyze, Improve, Control) cycle combined with analysis tools such as Value Stream Mapping and Fishbone Diagram. The measurement results show that FFA levels are the most dominant type of defects with a DPMO value of 57,407 and a sigma level of 3.09, followed by water content and dirt content. Further analysis identified significant waste in the form of waiting, motion, defects, and overprocessing, which are caused by human, machine, method, raw material, and environmental factors. The Improve stage resulted in several recommendations for improvement such as limiting the storage time of FFB, operator training, regular machine maintenance, and using a digital recording system. The implementation of the solution showed an increase in sigma values and a decrease in the number of defects, indicating the success of the Lean Six Sigma approach in improving process capabilities. This research provides a real contribution to the application of data-based quality control methods in the palm oil industry, especially at the CPO processing level.

Page 21 of 25 | Total Record : 249

 19   20   21   22   23 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol 11, No 2 (2025): Oktober Vol 11, No 1 (2025): April Vol 10, No 2 (2024): Oktober Vol 10, No 1 (2024): April Vol 9, No 2 (2023): Oktober Vol 9, No 1 (2023): April Vol 8, No 2 (2022): Oktober Vol 8, No 1 (2022): April Vol 7, No 2 (2021): Oktober Vol 7, No 1 (2021): April Vol 6, No 2 (2020): Oktober Vol 6, No 1 (2020): April Vol 5, No 2 (2019): Oktober Vol 5, No 1 (2019): April Vol 4, No 2 (2018): Oktober Vol 4, No 1 (2018): April Vol 3, No 5 (2017): Jurnal Optimalisasi Vol 3, No 4 (2017): Jurnal Optimalisasi Vol 2, No 3 (2016): Jurnal Optimalisasi Vol 2, No 2 (2016): Jurnal Optimalisasi Vol 1, No 1 (2015): Jurnal Optimalisasi More Issue