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Muhammad Abdillah
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Universitas Pertamina Jalan Teuku Nyak Arief, Simprug, Kebayoran Lama, Jakarta 12220, Indonesia
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JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Published by Universitas Pertamina
ISSN : -     EISSN : 29643511     DOI : https://doi.org/10.57102/jescee.v1i1
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering
The Journal of Emerging Supply Chain, Clean Energy and Process Engineering (JESCEE) is a peer-reviewed journal that provides an authoritative source of scientific information for researchers and engineers in academia, research institutions, government agencies, and industries. We publish original research papers, review articles, and case studies on all aspects of engineering (mechanical, electrical, chemical, and logistics). The topics to be covered include, but are not limited to renewable energy, energy conversion, mathematical modeling, diagnostics, optimization techniques, renewable energy sources, energy management systems, applications of expert systems, clean energy storage and generation, process and product simulation, reaction engineering, and related topics.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 65 Documents
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Study of Efficiency and Reaction Rates Dechlorination of Nata De Coco Wastewater Using Sodium Thiosulfate Sari, Alifiana Permata; Rhamadani, Fadila Arum; Amanah, Nur Layli; Nugroho, Agung
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 2 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i2.17

Abstract

Chemical reduction with sodium thiosulfate is commonly used to dechlorinate chlorinated waste. U.S. Environmental Protection Agency recommends sodium thiosulfate (Na2S2O3) as a dechlorinating agent for waste samples containing residual chlorine before being released into the environment or entering the distribution system. However, sodium thiosulfate's efficiency and chlorination kinetics at different concentrations are still unknown due to a lack of information on chlorination kinetics. The study was conducted by determining the number of efficient doses of sodium thiosulfate and observing chlorination kinetics using sodium thiosulfate as a dechlorination agent observed at different stoichiometric ratios (1x, 1.5x, and 2x). Sodium thiosulfate at a stoichiometric dose of 2x can reduce chlorine residue by up to 0.4 ppm. The regression analysis of and constant rate are used in the kinetic analysis of sodium thiosulfate dechlorination processes. The kinetics of the chlorination process employing sodium thiosulfate is first order to the total concentration of chlorine in solution at a stoichiometric dosage of 2x, according to the findings.
Production Cost Analysis at PTPN VII Gunung Dempo Packaging Station using Activity-Based Costing Method Putri Amro, Alda; Rahmadani Zahra, Carissa; Fitriani, Lailatul; Putri Fadillah, May; Altis Irawan, Tito; Iskandar, Yelita Anggiane; Lusiani, Mirna
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 2 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i2.18

Abstract

Production costs consist of components that are directly attached to the product, including direct and indirect costs. In determining production costs such as packaging costs, the usage of the traditional model is not always suitable shown by the possibility of overstated or understated conditions. This study aims to propose the implementation of the Activity-based Costing (ABC) System in calculating the cost of tea packaging and finding the differences with the traditional costing. The data used were based on the case of PTPN VII Gunung Dempo, South Sumatra, Indonesia. The results using the ABC system show that the total cost per unit for BOPF tea products is IDR 34,444.45, for Dust products is IDR 35,629.77, and for Dust II products is IDR 35,629.77. While the traditional system calculation shows that the total cost per unit for BOPF tea products is IDR 61,982.60, for Dust tea products is IDR 61,982.60, and for Dust II tea products is IDR 61,982.60. The strategy that can be applied to avoid possible losses in determining packaging costs due to incorrect cost calculations using the traditional system model is to implement Activity-based Costing.
Inventory Control Analysis of Flowline Pipe (Case Study: PT. Pertamina Hulu Rokan Field Limau) Hevira Putri , Nathasya; Sukarno, Iwan; Dewabharata, Anindhita
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 2 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i2.21

Abstract

Flowline is a means of distributing oil and natural gas from drilling wells to the separation point or collection station. The need for this flowline is fast moving but the problem that often occurs in companies is that the flowline needs cannot be fulfilled. Stock out on the 4-inch flowline pipe can cause a loss of production opportunity. To overcome the stock out, it is necessary to do proper inventory control. Forecasting the demand for the 4-inch flowline pipe using the ARIMA model to determine the amount of demand in the future period. After getting the number of requests, the requests are analyzed using the ADI-CV technique to see the demand pattern. The characteristics of the demand pattern are used to determine the appropriate type of inventory control. The result of the ADI value is 1 and the CV value is 0.04, so the demand pattern is smooth moving and uses the continuous review method. The continuous review method resulted in a total cost of Rp. 17,780,325,626, while the actual cost was Rp. 18,247,993,200. These results indicate that with inventory control, the proposed condition using the continuous review method can reduce inventory costs by Rp. 467,667,574 compared to actual conditions, and there is a saving of 2.56%.
Wind Turbine Production Planning in Logistic Systems Ruswandi, Nanda; Febriyani Hutasuhut, Dhian; Putri Fadillah, May; Ievana Febrianty Rumalutur, Yizri; Sukarno, Iwan; Inca Liperda, Rahmad
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 2 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i2.22

Abstract

Production planning is very important in an industrial company as well as planning in Logistics. The purpose of implementing production planning in a company is to minimize costs incurred and maximize profits. This research is practicum-based research in the laboratory with the object of observation in the form of a wind turbine toy. This object will be processed through 5 stages in the production process starting from forecasting, RCCP (Rough Cut Capacity Planning), MRP (Material Requirement Planning), CRP (Capacity Requirement Planning), and Line Balancing. forecasting results are carried out with 12 future periods producing 232,888 units, RCCP balance between available capacity and required capacity, MRP using the lot sizing technique obtains the cheapest cost per unit Rp.142,179 with the LTC (Least Total Cost) method when compared to other MRP methods, namely LFL (Lot for Lot), POQ (Period Order Quantity), PPB (Part Period Balancing), EOQ (Economic Order Quantity), and LUC (Least Unit Cost), CRP by calculating the number of machines and working time, and line balancing which results in a decrease in track ineffectiveness from 42% to 22% and Smoothness Index from 476,662 to 189,703.
Development of Web-Based Goods Stock Recording System Design: A Case Study In Indonesia Ragil, Eko; Vikaliana, Resista; Irwansyah, Irwansyah
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 1 (2025): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i1.100

Abstract

In this day and age, technology is something that everyone uses in their daily activities. Web system technology has been widely used. Technology is a tool that can make it easier for users to carry out daily activities. Web System technology is one of the most active technologies in all companies. Pt Ingress Technologies Indonesia still uses the old method of using stock management using Microsoft Excel. This study aims to determine the stock of goods at PT Ingress Technologies Indonesia through the Web System. This research method uses a qualitative descriptive type of research used in this study to obtain an in-depth and comprehensive development of the inventory management record system at PT Ingress Technologies Indonesia. The results of this study are the recording system through the web system is very influential for an organization or company in their management, and in inputting data it is easier when using the web. The development of a recording system that will be carried out by the company through a web system must be realized immediately, in order to increase the effectiveness and efficiency of each employee in carrying out the recording system.
Enhancing Patient Experience in Radiology: Predictive Modeling of Wait Times using Feature Selection Techniques Gupta, Jagriti; Sharma, Naresh
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 1 (2025): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i1.103

Abstract

The increasing patient flow and overcrowding in critical hospital departments has prompted the need for effective strategies to enhance patient satisfaction. This study focuses on machine learning algorithms to predict patient waiting times for X-ray services using the dataset from a high-volume radiology department. Three regression models such as Linear Regression (LR), K-Nearest Neighbor (KNN), and Random Forest (RF) were proposed and integrated with the recursive feature elimination (RFE) algorithm to reduce the dimension of the dataset and to enhance the model’s efficiency by selecting optimal features. The findings indicate that LR-RFE model with 30 features predicted waiting time with mean absolute error 3.63 minutes as compared to standard LR model with 63 features. Comparable results were observed with the RF and KNN models, which demonstrated mean absolute errors of 3.77 minutes and 3.81 minutes respectively. Furthermore, the feature revealed key contributors to waiting times, such as the sum of patient queue wait times, the number of patients waiting in line, and wait time for the most recent patient This study underscores the potential of machine learning techniques combined with feature selection to offer actionable insights for better patient queue management.
Improvement of Forecating and Inventory Control For Optimizing Inventory at PT United Tractors Site Muara Tiga Besar Fabio, Muhammad Ridho; T. Pratama, Aditya; Baskoro, Gembong
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 1 (2025): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i1.105

Abstract

PT United Tractors, Muara Tiga Besar site, is one of the company’s sites in Indonesia, responsible for accurately meeting customer demands in terms of timeliness, quantity, and quality. Ineffective and inefficient inventory management leads to idle capital and increased inventory costs, such as storage expenses and other inventory-related risks. Currently, PT United Tractors Muara Tiga Besar site has not yet optimized its inventory management, as evidenced by the Days of Inventory (DOI) performance in 2024 showing an upward trend, with the performance in May 2024 reaching 81.9 days. Therefore, this study aims to improve the DOI performance to meet the established targets. The root cause of the problem was identified using the 5 Why Analysis method, followed by generating ideas and solutions for improvement. The chosen solutions include forecasting using the Simple Moving Average method and inventory control through the Periodic Review and Continuous Review Systems. The research results indicate that forecasting with this purpose method effectively reduces DOI performance to 72 days, while inventory control using the Continuous Review System significantly reduces storage costs by 49%, achieving a more efficient outcome. Keywords — DMAIC, 5 Why Analysis, Forecasting, Simple Moving Average, Periodic Review System, Continuous Review System
Remaining Life and Integrity Assessment of an Atmospheric Storage Tank (T-125) Based on Ultrasonic Testing and API 653 Standard Widiyati, Khusnun; Aliyah, Firza
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 1 (2025): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i1.109

Abstract

This paper presents a Fitness-for-Service (FFS) evaluation and Remaining Life (RL) prediction for the T-125 Atmospheric Storage Tank (AST), which stores Solar (Diesel) fuel at PT. XYZ. The study utilized data from Ultrasonic Testing (UT) conducted over an eight-year inspection interval (2016–2024) to quantify material loss due to corrosion. The analysis was performed strictly according to the guidelines of API Standard 653, 5th Edition. Key parameters, including Corrosion Rate (CR), Minimum Required Thickness (tmin​), and RL, were calculated. While the 1st and 2nd shell courses and the roof plate possess acceptable integrity with RL values ranging from 32.6 to 73.12 years, the 3rd shell course was found to be non-compliant based on the comparison between its calculated minimum required thickness (2.2 mm) and the API minimum plate thickness requirement (2.54 mm). This assessment provides a scientific basis for maintenance planning, emphasizing the need for immediate attention to the 3rd course and continuous monitoring of the 2nd course, which exhibits the highest corrosion rate (0.06 mm/year).
Short-Circuit Disturbance and Distribution Network Protection
Electric Power System in Human Resources Development Center for Oil and Gas Agung, Handy
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 1 (2025): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i1.114

Abstract

The power system is a very vital part of the industry, serving as the source of electrical energy up to the distribution of electric power, which must be protected against various types of disturbances that may affect the equipment in use. Power system protection is the protection provided to electrical equipment installed in a system against abnormal operating conditions of the system itself. These abnormal conditions include short-circuit faults, overload faults, and overvoltage disturbances. Breaking capacity, or the maximum interrupting capacity, is the highest short-circuit current value that a circuit breaker can withstand without sustaining damage.
Short-Term Electric Load Forecasting Study Using Linier Regression and Time Series Models at PT. PLN (Persero) Tarakan Putri Wardani, Kartika; Mado, Ismit; Budiman, Achmad; Riyanto, Sugeng; Ghusaebi; Effendy, Rustam
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 2 (2025): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i2.101

Abstract

In the electricity operating system, it is very necessary to balance the electrical power transferred by the power plant with the electricity load consumption at the customer. Fluctuations in the electrical load cause the operation of the electrical power system to become unreliable. Electrical load forecasting studies are very necessary to ensure optimal electrical power system conditions. PT. PLN (Persero) Tarakan as an electrical energy service provider really needs electrical load forecasting studies. This study applies the time series analysis method and as a comparison uses the linear regression method. This method is used to forecast short-term needs in the electrical power operating system. The results of the study showed that the mean absolute error percentage (MAPE) with the linear regression method was 7.87 percent. With the ARIMA time series method, the MAPE was 14.68 percent. However, by looking at the seasonal plot in the time series or SARIMA method, the MAPE was 6.13 percent. The results of this study indicate that the SARIMA model is the best forecasting method. Kata Kunci: Regresi Linier, Beban Listrik, Time Series, PT. PLN (Persero) Tarakan.

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