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All Journal Biospecies AL KAUNIYAH SPEKTRUM INDUSTRI TEKMAPRO Journal of Industrial Engineering and Management Inspiratif Pendidikan OPERATION EXCELLENCE: Journal of Applied Industrial Engineering PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Jurnal Penelitian Pendidikan IPA (JPPIPA) JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Metode : Jurnal Teknik Industri Jurnal Biologi Tropis Tibuana : Journal of Applied Industrial Engineering Industri Inovatif : Jurnal Teknik Industri Matrik : Jurnal Manajemen dan Teknik Industri Produksi Dedikasi: Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Academia Open Indonesian Journal of Law and Economics Review Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Indonesian Journal of Innovation Studies BIOMA : Jurnal Biologi dan Pembelajarannya Jurnal Pengabdian Masyarakat Akademisi PELS (Procedia of Engineering and Life Science) Takuana: Jurnal Pendidikan, Sains, dan Humaniora Jurnal Karya Abdi Masyarakat Journal of Fish Health MIMBAR INTEGRITAS Jurnal Pengabdian Masyarakat Pinang Masak Innovative Technologica: Methodical Research Journal Journal for Technology and Science IJOT Widya Teknik

Tedjo Sukmono

Universitas Muhammadiyah Sidoarjo

Author-ID : 390562

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology 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 Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Entertainment Cost Efficiency Analysis With Data Envelopment Analysis (Dea) And Fuzzy Logic (Flp & C-Iowa) Approach To Sales Level Dwi Kakung Saputro; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 1 (2021): Proceedings of the 1st Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

It caused some problems regarding to calculation and measurement of costs which is issued for the level of efficiency desired by the company, namely PT. LLL Surabaya. From the results of measurements and analysis, it shows that system has objective value in “efficient” category. Therefore, the ranking results of regional operating system (DMU3) are the most optimal in terms of sales capacity, which is Rp. 11,745,050,779. It is caused by the impact of providing these costs. Based on the decision-making preferences related to the entertainment costing system, (CI) value is 0.18 for (P1) and 0.03 for (P2). It means that marketing department has more preference for entertainment costing system should be given constantly with the aim that total sales capacity can continue to increase.

Forecasting Production Trafo to Get SDOH Using Seasonal ARIMA Method in PT. XYZ Muhammad Dio Dwi Septian; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

In the production process at PT. XYZ has a fluctuating data pattern and contains seasonality. This resulted in a reduction in the company's operational efficiency and difficulty in preparing supplies to meet uncertain demand. The method according to the demand pattern at PT. XYZ in this transformer product is the SARIMA method. The results of forecasting on transformer production at PT.XYZ gets the SARIMA(1,0,1)(1,1,1) model with influenced by the results observed at 13 weeks and errors at 14 weeks ago. The results of this forecast are used in determining the safety stock in 2021 with regard to SDOH. The SDOH planning in January 2021 will run out in 30 days with a stock plan of 838 units LV Busing so that a company policy needed to increase or decrease the stock plan if SDOH is below or above 30-35 days.

Planning Total Veener Production PT. XYZ Krisna Risky Putra Irawan; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

PT. XYZ is engaged in the manufacture and sale of wood veneers. Starting from the constant occurrence of over stock, now the company must make improvements to the production forecasting process so that over stock can be avoided. It can be seen that accurate production forecasting can create conditions for an effective and efficient production system. This study aims to obtain a more accurate forecast of material requirements using the Support Vector Regression (SVR) method, which is the result of the development of a Support Vector Machine (SVM) which has good performance in predicting time series data. Application of the Support Vector Regression (SVR) method with the RBF kernel in predicting the need for veneer production using the MATLAB application, it produces the smallest error rate with a MAPE of 5%, RMSE of 4364.63 and of 0.748274147. on 67 training data and 20 testing data.

Forecasting the Number of Offset Printing Machine Breakdowns Using the Support Vector Machine (SVM) Metdhod Nafis Khumaidah; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

PT. MJT is a company engaged in manufacturing that produces various types of plastic tubes for cosmetic packaging. Production activities at PT. MJT uses an intermittent process, which in the printing division requires a longer total setup time because this process produces various types of specifications of goods to order. This has an effect on the amount of engine breakdown. The purpose of this research is to try the method of forecasting the number of breakdowns for offset printing machines at PT. MJT. One of the methods used in this research is the Support Vector Machine method. Support Vector Machine is a method that can help predict the number of breakdowns that will be experienced by the offset printing machine at PT. MJT. Support vector machine is a method that can reduce the error value in forecasting compared to other methods. From this research, it is hoped that it can produce a forecast of the number of breakdowns for offset printing machines at PT. MJT for a period of one year or twelve periods.

Productivity Measurement Analysis Using Multi Factor Productivity Measurement Model (MFPMM) At PT. Primabox Adiperkasa Much Syafiudin; Boy Isma Putra; Ribangun Bamban Jakaria; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1250

PT Primabox Adi Perkasa is a company located on Jl. Jaksa Agung Suprapto, Sumber Gedang, Pandaan, Pasuruan. This company is engaged in manufacturing, namely the production of cardboard boxes. This company can produce up to 550,000 pcs of cardboard boxes per year, employing 300 employees. The problem that arises in the company is caused by changes in the price of raw materials or materials which make changes in costs that must be considered in the production proces. Measuring productivity by using the Multi-Factor Productivity Measurement Model (MFPMM). This method is used to make it easier to measure changes in previous performance, controllers, and controllers of current company performance and can assess and evaluate the effect of profitability resulting from changes in productivity.The results of the research on Productivity Measurement Analysis Using the Multi-Factor Productivity Measurement Model (MFPMM) obtained the productivity index of used cardboard 89.69%, glue 97.72%, electricity 100.79%, fuel 82.24%, oil 109.61%, and The workforce is 123.75%.

Continuous Ship Unloader Availability Analysis Using Association Rules Method with Apriori Algorithm Radiana Atika Sari; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1266

Petrokimia Gresik is a company engaged in the argo industry. In an effort to increase productivity, PT. Petrokimia Gresik has a special port used for loading and unloading activities. During loading and unloading activities, special equipment is needed to make it easier to move cargo. Not infrequently this equipment suffers damage that is not known what object affects the damage. Based on the 2021 Asset Utilization Data, internal tools whose availability is still below the target of more than 1% are CSU I and 81.66%. The percentage of equipment availability that is below the target causes the process of unloading raw materials to be not optimal and can cause demurrage costs or company fines to the ship if the cause of the damage is not immediately identified and addressed. This study aims to help companies obtain information about objects that affect CSU I and CSU II experiencing breakdowns. The role of data mining that will be used in this research is association rules with a priori algorithms. Data processing is assisted by Microsoft Excel, RapidMiner software and WEKA software. There are no association rules that are formed with the application of a minimum support value of 50% and a minimum value of 50% confidence, both in CSU I and CSU II data processing. The association rules formed by applying a minimum support value of 20% and a minimum confidence value of 50% for CSU I data processing are 3 rules, while the association rules obtained for CSU II data processing are 2 rules. Based on the rules formed in CSU I and CSU II, the breakdown item that is likely to be damaged is Vertical – Motor 2M1.

Optimization of Dynamix Cement Inventory Planning with Tsukamoto's Fuzzy Inventory Method at PT TRACK Gusti Nurina Azhariani; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1317

In 2021, PT TRACK has an average Dynamix Cement inventory of 1,488 sacks/month and the highest inventory can reach 2,240 sacks. The high inventory capacity has an impact on inventory capacity that exceeds the maximum inventory limit (overload). This study aims to determine the optimal amount of Dynamix Cement inventory at PT TRACK so that it does not cause inventory overload. The method used is Fuzzy Inventory Control Tsukamoto. Several stages carried out in this research include (a) forming Fuzzy sets, (b) forming rules (c) inference, and (d) affirmation (defuzzification). The results of this study showed that the optimal supply of Semen Dynamix at PT TRACK in the period December 2020 to December 2021 was 1350 sacks, 1480 sacks, 1300 sacks, 1290 sacks, 1300 sacks, 1350 sacks, 1370 sacks, 1490 sacks, 1790 sacks, 1510 sacks, 1280 sacks, 1300 sacks, and 1320 sacks. Based on the estimated inventory of PT TRACK's Dynamix Cement, the total inventory of Dynamix Cement in the next period using the Tsukamoto Fuzzy Inventory method is 1380 sacks.

Production Scheduling Analysis To Minimize Injectâ€“Blow Production Makespan on PT.XYZ Using Differential Evolution Algorithm Method Dzati Fauziyah; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1350

This study discusses the problem of job-shop scheduling at one of the well-known mineral water companies in Indonesia. This company produces a number of products in several types with different routes from each other. However, in reality, the effectiveness of production lies in the range of 54.8%â€“69.2%, so it is still far from running time production where the expected target is 80% for inject and 90% for blow. Where production scheduling is a complex problem so it takes the right method to get the optimal solution for these problems. The research method used is the differential evolution algorithm method, where this method aims to minimize the makespan value (total completion time of all jobs) on the job-shop production route so as to obtain optimal scheduling results and improve the existing system. Scheduling obtained through the differential evolution algorithm method produces a makespan value of x minutes, while the company's schedule has a makespan value of y minutes. So that the proposed scheduling results in a decrease of x% compared to company scheduling.

Forecasting the Amount of Blood Storage Using the Support Vector Machine (Svm) Method Novi Prastyanda Putra Pratama; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1359

Blood transfusion is a process of sending or transferring blood to another place and the task is delegated to the PMI Blood Donation Unit with several tasks including; deployment and preservation of blood donors, provision and processing of blood, and distribution of blood to health agencies. However, the supply and demand from health agencies have a significant difference. The difference for each blood group is very large, in group O deficiency by 28%, in group A deficiency by 38%, in group B excess by 28%, and in group AB deficiency by 84%. To overcome this problem, it is necessary to estimate the demand for blood that will occur in the future period. One of the tools that can answer this problem is demand forecasting and what will be used in this study is forecasting using the Support Vector Machine (SVM) method. This SVM method is a relatively new machine learning-based technique for making predictions, both used in classification and regression cases. The result of this study obtained good MAPE values, namely in blood group O is 14%, in blood group A is 15%, in blood group B is 13%, and in blood type AB is 24%.

Raw Material Control for Chicken Crumble Feed Production: Pengendalian Bahan Baku untuk Produksi Pakan Ayam Crumble Wijatmiko, Erie Fadma Noer Fitriana; Sukmono, Tedjo
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1492

Raw materials are essential for production, sourced from natural reserves or acquired from suppliers. Material Requirement Planning (MRP) is a vital method for managing material demand, utilizing inventory, forecasts, and production schedules. This study addresses the importance of inventory control and MRP in ensuring adequate raw material supply for production. The research aims to analyze MRP calculations to determine the required raw material quantities over a specified period. By employing MRP, production planners can efficiently order raw materials to prevent shortages or excessive inventory. The results highlight the significance of MRP in optimizing inventory management and ensuring uninterrupted production. Highlights : MRP ensures efficient raw material management. Study analyzes MRP calculations for required quantities. Results emphasize MRP's role in optimizing inventory and production. Keywords : Raw materials, Material Requirement Planning (MRP), inventory control, production scheduling, uninterrupted production

Co-Authors Abdul Rohman Abdul Rohman Adistyas Nastiti, Octavia Afreni Hamidah Afrilia, Riska Agus Subagyo Ahmad Fikri Ardianto Alfian Fajar Gunawan Ali Mashar Ali Sadikin Amatullah, Dhiny Angela, Fitrah Cornellya Apriliana Sari Wulandari, Indah Arba, Risqi Mutia Asni Johari Azhari, Asri Bambang Haryadi Benedika Ferdian Hutabarat Boy Isma Putra Budi, Yusuf Effri Prastyo Cahyana , Atikha Sidhi Dani Sartika Dawam Suprayogi Diwanti Faradiba, Nabila Dristiana, Fila Dwi Kakung Saputro Dzati Fauziyah Ervan Johan Wicaksana Erwin Widiantono Fikrianto, Muhammad Hafid Fila Dristiana Gusti Nurina Azhariani Hadian, Mohammad Ekki Hafizah, Mutia Hana Catur Wahyuni Harlis Harlis Hartanti, Lusia Permata Sari Hery Murnawan, Hery Ihsan, Mahya Jamaluddin Jamaluddin Khairatinisa, Khairatinisa Krisna Risky Putra Irawan Leksono, Rudy Bowo Lestari, Wiwik Puji Lindyawati, Lely M.Haris Efendi Hsb Mardhotillah, Bunga Marodiyah, Inggit Mauli, Fajar Dwi Mishani, Adinda Chamilia Mochammad Imam Mashuri Mohammad Buchori Much Syafiudin Muhammad Arizki Zainul Ramadhan Muhammad Dio Dwi Septian Mukhammad Surya Lesmana Muswita Muswita Nafis Khumaidah Natalia, Desfaur Nazifa, Boti Iffa Novi Prastyanda Putra Pratama Nugraha, A. Prima Nugroho, Dizsa Arliansyah Nurma M. Hidayatulloh Octavia Adistyas Nastiti Pangestu, Retno Putra, Tri Syukria Putri, Andini Faizatul Putri, Arinda Jayanti Putri, Melinda Aprilia Rachman, Meisya Azzahra Radiana Atika Sari Rany Riyantati, Dena Rasyid, Mohammad Andi Ribangun Bamban Jakaria Rizky Janatul Magwa Rudy Bowo Leksono Salsabila, Nisrina SANDI KURNIAWAN Sanjaya, Muhammad Erick Saputra, Nur Qomaruddin Sari , Indah Apriliana Sari W, Indah Apriliana Sari Wulandari, Indah Apriliana Setiawan, Ardhi Wahyu Setiawan, Ari Rio De Sigit Wahono sisiliani, fitria trisna Sofillauny, Zahara Suhadak Sulistiono Suzanti, Sriliah Syaifullah, Dikril Ilham Tia Wulandari Upik Yelianti Utomo, Pradita Eko Prasetyo Varid Jainuri Wahono, Sigit Wahyu Nugroho Wahyu Setiawan, Ardhi Wardhani, Devira Kusuma Wawan Kurniawan Wijatmiko, Erie Fadma Noer Fitriana Winda Dwi Kartika, Winda Dwi Wiwik Sulistiyowati Wulandari, Indah Apriliana Sari Yoppie Wulanda Zurweni Zurweni

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