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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 65 Documents
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Fermentation of Chicken Slaughterhouse Wastewater (CSWW) With White Sugar as A Carbon Source for Manufacturing of Liquid Fertilizer Budi Nursanto, Eduardus; Angga Handjaya, Akbar; Layli Amanah, Nur; Fairuzt Fathin Faundra, Muhammad; Permata Sari, Alifiana; Angli Curie, Catia
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.v4i2.118

Abstract

Along with the increase in the production of broilers, the amount of liquid waste produced will increase. Liquid waste resulting from chicken slaughterhouse activities will cause odor pollution and aquatic pollution. Chicken slaughterhouse wastewater (CSWW) is suitable for use as a raw material for Liquid Organic Fertilizer (LOF) production, based on nutrient analysis results of waste samples collected from a facility in South Jakarta. According to the results of the analysis, the Biochemical Oxygen Demand (BOD) was measured at 214.52 mg/L, and the Chemical Oxygen Demand (COD) was significantly higher at 2310 mg/L. Furthermore, the samples contained 37.39 mg/L of oil and fat, and an ammonia (NH3) concentration of 37.39 mg/L. The presence of high concentrations of organic substances, such as protein, oil, and fat, confirms the potential of CSWW as a valuable raw material to produce LOF. To facilitate this study, bioconversion, the fermentation method was employed. In this study, four formulations of (LOF) were prepared using varied concentrations of a carbon source (sucrose) and Effective Microorganisms 4 (EM4) solution bacterial inoculum. The efficacy of these formulations was subsequently evaluated via a bioassay on land kangkong (Ipomoea reptans Poir). The results revealed that the greatest positive effect on plant growth was achieved by the LOF variation, which incorporated 150 g of sucrose and 0.05 L of EM4 solution. Samples of plants that were given the addition of LOF showed the highest number of leaves, as many as 24 strands and the highest plant height value of 18 cm.
An Empirical Study of Reverse Logistics in Natural Cosmetic Products on Consumer Satisfaction Vikaliana, Resista; Satrio, Fatih Wahid
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.v4i2.119

Abstract

This study aims to analyze the influence of reverse logistics on consumer satisfaction with cosmetic products at PT Nectars Natura Karya. Reverse logistics, which involves the management of product returns for recycling, repairs, or waste handling, is a crucial element in enhancing sustainability while meeting the expectations of modern consumers. The study employs a simple linear regression analysis method to understand the relationship between reverse logistics as the independent variable and consumer satisfaction as the dependent variable. Data were collected through questionnaires distributed to consumers of PT Nectars Natura Karya's best-selling product, Tamanu Daycream. Based on the simple linear regression test results, the simple linear regression equation obtained is Y = 0.666 + 0.464X, indicating that if the reverse logistics variable is zero or constant, consumer satisfaction increases by 0.666 units. The coefficient value for the reverse logistics variable is 0.464, meaning that a one-unit increase in reverse logistics will increase consumer satisfaction by 0.464 units or 46.4%. Furthermore, the R value (correlation coefficient) is 0.876, signifying a very strong relationship between reverse logistics and consumer satisfaction. The R2 value (coefficient of determination) is 0.767, indicating that 76.7% of the variation in consumer satisfaction can be explained by reverse logistics in the model, while the remaining 23.3% is explained by other factors outside the model. With an R2 of 0.767, the model is categorized as substantial, implying a very strong relationship between reverse logistics and consumer satisfaction. In the hypothesis testing, the t_calculated value of 17.778 far exceeds the t_table value of 1.664. Thus, H0 is rejected, and Ha is accepted, confirming that the relationship between reverse logistics and consumer satisfaction is highly significant.
Production Simulation Hydrogen Gas from Heavy Fuel Oil Gasification and Life Cycle Assessment (LCA) using UNISIM Design R460.1 and GABI TS Software Rachman, Rinaldi Medali; Fransisco Rupang Pangkung, Dionisius
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.v4i2.120

Abstract

Heavy fuel oil utilization via combustion leads to negative impacts towards the environment. A cleaner way of heavy fuel oil utilization should be implemented, gasification is one. Gasification process can convert heavy fuel oil feed into valuable gas like hydrogen. Based on the simulation result, hydrogen purity (on dry basis) was obtained at 98,02% (volume). Study on temperature and addition of gasifying agent was also done. At high gasification temperature, more hydrogen tends to be produced. Steam addition also gives positive effect on hydrogen yield. Environmental impacts evaluation using life cycle assessment method has been performed. Based on the simulation, this process significantly contributes to climate change with the score of 2.630 kgCO2eq. Carbon dioxide utilization via enhanced oil recovery can overcome this problem. From economical point of view, annual net income after tax is at Rp 45.956.031.943,16 with the annual return on investment rate of 59,46%, which is economically justified.
Implementation of Digester Machine Automation Using an Arduino Uno and Multisensing Sensors to Improve Crude Palm Oil Production Efficiency Maharani, Putri; Alfisyahrin, A; Syukriyadin, S
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.v4i2.127

Abstract

The production of crude palm oil was highly dependent on the operational efficiency of the digester unit, in which improper control of temperature, material level, and stirring speed often resulted in reduced productivity and unstable operating conditions. This study aimed to address these issues by developing an automated control system to improve digester performance through integrated sensing and motor control. An automation system based on a microcontroller was designed and simulated using multisensing technology, including temperature monitoring within an optimal range of 90–95 °C, material level detection with a minimum threshold of 75%, and direct current motor speed regulation through a motor driver module. System logic and operational behavior were evaluated using Proteus simulation software prior to hardware implementation. The simulation results showed that the proposed system was able to automatically stop the digester motor when the operating temperature exceeded 95 °C or when the material level dropped below the predefined threshold, thereby preventing unsafe operating conditions and potential equipment damage. The automated response ensured more stable digester operation and reduced the risk of process inefficiencies. The overall findings indicated that the proposed low-cost automation system effectively enhanced process control and operational reliability. Furthermore, the implementation of this system demonstrated a potential improvement in production efficiency of approximately 20–30%. These results confirmed that microcontroller-based automation with multisensing integration provided a practical and efficient solution for optimizing digester operations in crude palm oil processing plants.
Experimental Study of Active Noise Control on The Motor of A UAV Aircraft Noise Vibration Centre Using A DLE Gas Engine 30 Alfisyahrin, A; Isranuri, Ikhwansyah; Syukriyadin, S; Habiburrahman, H
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.v4i2.132

Abstract

Abstrak—The noise that occurs at the USU UAV Noise and Vibration Center ranges between 90-100 dB. The engine used is a 2-stroke engine which certainly has high noise. The engine drive motor determines the high rotation and contributes to the noise. The method used to reduce noise is ANC. ANC in this study focused only on the drive motor. The results obtained are after comparing the noise before using ANC and after using ANC. The noise reduction obtained is at a rotation of 3000 rpm with a distance of 1.25 m of 1.36 dB.

Page 7 of 7 | Total Record : 65

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