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Muhammad Abdillah
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jesacdee@universitaspertamina.ac.id
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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 59 Documents
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Inventory Management with Demand Forecast for Eyeglass Lenses Using The Time Series Method at An Optical Store Adriel Silaen, Thobias; Iskandar, Yelita Anggiane
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.65

Abstract

In the healthcare sector, supply chain management is one of the most important elements since in the logistics of medical devices and pharmaceutical products, patient satisfaction is the main focus in efforts to improve service quality. One of the problems that often occurs in the optical supply chain is inventory control. The optical store is one of the microenterprises engaged in optometric health services. The enclosed supply chain is a three-echelon model, where the store is at the second level. The process of ordering lenses at the store from suppliers is not carried out based on predicted demand. The determination of the safety stock amount and the reorder point also still has a fairly low accuracy there. This is indicated by overstock and stock-out situations that still occur frequently in this company. Overstock causes the product to be damaged because it has been stored for too long and stock out causes lost sales. To solve the problem in this research, the prediction of future demand is overcome by using several time series methods, such as cyclical models, cyclical trend models, and ARIMA models. Forecasting result validation is implemented by calculating the calculation of errors using MAPE, MAD, and MSE then it was found that the forecasting model chosen to predict the demand for the lenses is a cyclical trend model. The result of the demand forecasting and safety stock size calculation with 3 service levels are used as input to determine the reorder point. After observing the condition of the company and the targets set by the company, the calculation results with a service level of 90% is the most possible to be implemented.
Reliability Analysis of 3 Phase Generator Set as An Emergency Power Supply If There are Electricity Outages at PT. Intracawood Manufacturing Musmuliadi; Mado, Ismit; Budiman, Achmad; Subarianto; Rantepadang, Agustinus
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.66

Abstract

The need for electricity is a problem that occurs every year, especially in environments that really need a very high supply of electricity, such as companies, industries, offices, and lecture buildings. To maintain the continuity of the supply of electrical energy in the event of a disturbance, it is necessary to back up the generating system. As with the operation of a power generation system, it is also necessary to maintain the continuity and reliability of this backup power plant. To determine the level of reliability and availability, equipment data, operational data and damage data are needed. This study calculates the specified operating time (SOT), the total number of damages and the number of generators that are not operated due to routine or scheduled maintenance needs. calculating maintenance hours (S) and total maintenance time for each generator within a predetermined period. From SOT minus the total maintenance time, you will get the actual operating time (AOT) value of each generator. SOT and AOT data are needed to calculate the level of availability of generators individually and the level of availability of generators as a backup power supply. Furthermore, this research calculates the mean time between failure (MTBF) for each generator. The results of the study show that in 2022 the reliability level of PT. Intracawood Manufacturing by 99%. The generator set reliability level is included in the group that rarely experiences disturbances or damage (R≥ 90%) and the average generator set availability rate in 2022 is 98.5%. This study shows that the operating target of the power generation system at PT. Intracawood Manufacturing rarely experiences interruptions.
Reliability Analysis of PTMG System Operation PT. Pertamina EP. Bunyu Based On Load Loss Probability Index Rusady, Rendy; Ismit Mado
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.67

Abstract

Power plants are equipment used to generate electricity by converting an energy into electrical energy. In power plants, it is necessary to pay attention to the reliability of the generating system in meeting the needs of a load. The reliability of the generating system can be described by the plant reliability index. To pay attention to the reliability of the generating system, an analysis is needed that is used to evaluate the reliability index of the plant, one of which is Loss of Load Probability (LOLP). This study presents the calculation of the LOLP value at the PT Pertamina EP Bunyu PLTMG in 2022. In calculating the LOLP value, namely by using Microsoft Exel and Matrix laboratory simulation. PT Pertamina EP Bunyu PLTMG has 4 generating units with each capacity having a power of 1000 KW. The duration of disruption of the generating unit affects the Forced Outage Rate (FOR) value which will be used to find the probability of each combination of generating units. From this probability value, the LOLP value is obtained. At the PT Pertamina EP Bunyu PLTMG, the LOLP value is 0.00005579646% with an outage probability of 0.0203657079 days/year. While the standard set by PT PLN (Persero) in the 2018-2027 PLN RUPTL of LOLP is smaller than 0.274% or equivalent to a probability of outage of 1 day / year, it can be said that the reliability index of the power plant at PT Pertamina EP Bunyu PLTMG in 2022 is in the reliable category.
Transparency and Thermal Stability of Silica Aerogel Synthesized From Sodium Silicate Using Ambient Pressure Drying Hardiane, Egiana Reshi; Purba, Gita Evi Monika; Dahliyanti, Ayu
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.68

Abstract

Silica aerogel is a special material due to its low density, high transparency, and high thermal stability. Producing silica aerogels in an inexpensive and environmentally friendly way is the focus of recent research. Here, silica aerogel is synthesized from sodium silicate as silica source and surface modification with organosilanes, followed by ambient pressure drying at various conditions. The resulting aerogels were analyzed for their density, transparency, and thermal stability. Silica aerogel with a low density of 0.4031 g/cm3 was successfully synthesized with polydimethylsiloxane (PDMS) as modifying agent at 7:50 solvent ratio. The aerogel can withstand heat up to 400°C.This shows the potential of aerogel to be applied as thermal insulator in various fields.
The Implementation of AHP and Whale Optimization Algorithm In The Selection and Optimization of Best Clean Energy Source Simorangkir, Niklas Parlindungan; Pratama, Aditya Tirta
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.69

Abstract

Clean energy sources have become more and more important in the present time, especially with the goal to reduce the production of greenhouse gases. There are various clean energy sources available, and care must also be taken into which clean energy source is more prevalent in which location. Furthermore, with the multiple alternatives for such clean sources, a method has to be developed to choose the best one, and, if possible, have it optimized to produce the best performance. It is also good if the method developed only requires theories without any need of practical applications in real life (although this is strongly encouraged). This paper will show the utilization of a decision-making tool, namely the analytic hierarchy process, to decide the best energy source and which components are important and then conducts the optimization process through whale optimization algorithm. The research will then conclude with the best energy source chosen in its optimized state. It is hoped that this research will open a gateway into determining which energy sources to use digitally without any recourse to incurring costs on its way.
Analysis of The Reliability of The 20kV Distribution System of PT PLN (Persero) ULP Tarakan Using Root Cause Problem Solving Methods Sukmawati; Budiman, Achmad
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.70

Abstract

The distribution system is one of the components of the power system that cannot be separated from the occurrence of interference or damage, which causes factors from within the equipment and factors from outside that can cause blackouts. In this final project, the reliability problems of SAIDI, SAIFI and CAIDI in 2021 at PT PLN (Persero) ULP Tarakan will be discussed using the RCPS (Root Cause Problem Solving) method. The parameters used to see the reliability of the distribution network are SAIDI (System Average Interruption Duration Index), SAIFI (System Average Interruption Frequency Index) and CAIDI (Customer Average Interruption Duration Index). By comparing the SAIDI, SAIFI and CAIDI reliability indices with the IEEE 1366-2003, SPLN 68-2: 1986 and WCS&WCC reliability indices. Where the comparison results of SPLN 68-2: 1986 and SAIDI = 21.09 j/p/t and 6.45 j/p/t (Meets Standard), SPLN 68-2: 1986 and SAIFI = 3.2 k/p/t and 7.38 k/p/t (Does Not Meet Standard), IEEE 1366-2003 and SAIDI = 2.3 j/p/t (Does Not Meet Standard), IEEE 1366-2003 and SAIFI = 1.45 k/p/t and 7.38 k/p/t (Does Not Meet Standard), IEEE 1366-2003 and CAIDI = 1.47 j/g/t and 9.89 j/g/t (Does Not Meet Standard), WCS&WCC and SAIDI = 3 j/p/t and 6.45 j/p/t (Does Not Meet Standard), WCS&WCC and SAIFI = 1.666 k/p/t and 7.38 k/p/t (Does Not Meet Standard). If it does not meet the predetermined standards, Root Cause Problem Solving analysis is carried out.
The Queuing System Analysis for Patient Registration Counters at a Hospital Ramadhan, Ferdinan; Vikaliana, Resista
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.71

Abstract

Hospitals are vital for healthcare and must continually enhance service quality to boost patient satisfaction. Lengthy outpatient service times, particularly during peak demand, can detrimentally affect service quality. This study investigates the application of queuing theory to the registration service facilities at PKK Hospital. The goal is to identify an appropriate queuing model to describe the outpatient registration counters' conditions and assess the model's performance. The research employs a quantitative approach, using data from observations and literature review, with purposive sampling. The study concludes that the Multiple Channel – Single Phase queuing model is most suitable for describing the outpatient registration counters at PKK Hospital. According to the findings, this queuing model offers optimal performance, with an average service time of 4.076 minutes per patient and a corresponding waiting time of approximately 3-8 minutes.
Simulation Study of a Single-Phase Induction Machine as a Water Pump System Utilizing Photovoltaic Faturiansyah, Elfin; Syukriyadin, Syukriyadin; Hafid, Hafid
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.72

Abstract

This paper presents a simulation study of using a single-phase induction machine as a solar PV powered water pump system equipped with Maximum Power Point Tracking (MPPT) on the boost converter. Inverters are used to convert DC voltage stored in batteries to drive single-phase induction machines. The simulation was carried out to analyze the system's performance in generating electrical power from solar panels and using it to operate the water pump. This research also considers variables such as fluctuations in sunlight intensity, as well as the dynamic response of induction machines and MPPT converters. From the simulation test results, it was found that the system as a whole will work well if it uses a radiation input that is more significant than 750 W/m2. The load in the form of a single-phase induction motor, which is inductive, influences variations in the output power produced by the solar PV at the boost converter.
Extraction of Flavonoid Content from Banana Peel (Musa Paradisiaca L.) by Ultrasound – Assisted Extraction Method and Its SPF Value Putri, Hasna Nabila; Budi Nursanto, Eduardus; Floresyona, Dita; Ayoub, Muhammad; Yusouf, Mohd Hizami Mohd
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): 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.v2i2.73

Abstract

In this study, banana peel was used as a natural sunscreen compound because of its natural antioxidants, such as flavonoids, tannins, triterpenoids, and phenols. Extraction is carried out using Ultrasound-Assisted Extraction method with variations in ethanol solvent concentration and material to solvent ratio at 45oC for 45 minutes. The ethanol concentrations used are 96%, 70%, and 50% and the material to solvent ratio 1/10, 1/20, and 1/30. From the results of the study, the highest yield and SPF value were obtained at ethanol concentration of 50% and material to solvent ratio 1/30. The yield in this variation is 15.2646%, and the SPF value is 8.9874 with the maximum protection category. The highest Total Flavonoid Content (TFC) results was obtained at 70% ethanol concentration and the ratio of material to solvent 1/30, namely 1.6559 mg QE/g. From the variation with the best TFC value, the mass transfer coefficient is 0.0151 mL/µg QE.min.
Sum-Difference Method in Monopulse Radar: A Review Alam, Alam; Tahcfulloh, Syahfrizal
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 3 No 1 (2024): 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.v3i1.74

Abstract

This article reviews the sum and difference methods on monopulse radar used to detect targets during the tracking process. These methods are described in detail and comprehensively regarding optimizing the size of the subarray elements, optimizing the radiation energy of tracking targets, optimizing for obtaining lower sidelobe level and optimizing computations for digital processing. Considerations of potential strategies for configuring an implementable monopulse radar are also given. This article also provides answers when faced with the challenge of building a monopulse subarray radar that meets the implementation needs of both software and hardware. The expected result of this subarray on monopulse radar is to obtain flexible and general capabilities for detection and tracking that can adapt to target and environmental conditions, including countering interference and jamming.  

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