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J-ENSITEC (Journal of Engineering and Sustainable Technology)
Published by Universitas Majalengka
ISSN : 24076007     EISSN : 2477359X     DOI : http://dx.doi.org/10.31949/j-ensitec
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering
J-ENSITEC (Journal Of Engineering and Sustainable Technology) terbit 2 (dua) kali dalam setahun. Sejak 2014, J-ENSITEC (Journal Of Engineering and Sustainable Technology) terbit pada bulan Desember dan Mei. Isi jurnal membahas hasil penelitian di bidang Teknik Informatika, Teknik Sipil, Teknik Industri, Teknik Mesin.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 151 Documents
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Bibliometric Analysis of Rice Husk Biomass Potential as an Environmentally Friendly Alternative Fuel Sabikah Nur Naylah; Diki Ramadhani; Muhammad Andhika Ramadhan; Rika Romatona; Muhammad Ashbar As-Silmy; Erza Arkan Zharif
J-ENSITEC Vol. 12 No. 02 (2026): June 2026
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i02.18019

Abstract

The increasing global energy demand and environmental concerns have intensified the search for sustainable alternative fuels. Rice husk, an abundant agricultural by-product in rice-producing countries, has attracted growing attention as a promising biomass resource. However, previous studies have mainly focused on technical conversion processes, while limited research has systematically examined publication trends and thematic developments in this field. Therefore, this study aims to analyze global research trends on rice husk biomass as an environmentally friendly alternative fuel using a bibliometric approach. Data were collected from the Scopus database covering publications from 2020 to 2026 using relevant keywords related to rice husk biomass and renewable energy. The data were analyzed using VOSviewer and Microsoft Excel to identify publication growth, dominant journals, collaboration networks, and keyword trends. The results show a significant increase in publications, reaching a peak in 2024, with Renewable Energy as the leading publication source. Keyword co-occurrence analysis revealed major themes such as biofuels, pyrolysis, combustion, and emission control. Thematic mapping indicates that combustion efficiency and thermal performance remain core research topics, while pelletizing and environmental assessment are emerging themes. This study provides insights into research directions and highlights the importance of technological innovation, efficiency improvement, and sustainability assessment to enhance rice husk utilization as a renewable energy source.
Floating Solar Power Plants as a Sustainable Solution in Land-Constrained Areas: A Bibliometric Analysis Rika Romatona; Andi Ramadhan; Dimas Juhar Panani; Sabikah Nur Naylah; Erza Arkan Zharif; Yuhani; Muhammad Ashbar As-Silmy
J-ENSITEC Vol. 12 No. 02 (2026): June 2026
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i02.18038

Abstract

This study aims to analyze the development of research on floating photovoltaic (FPV) power plants as a sustainable solution for land-limited areas using a bibliometric approach. Data were collected from the Scopus database during 2015–2025 and analyzed using VOSviewer and Bibliometrix to examine publication trends, country productivity, keyword networks, and thematic development. The results show that FPV-related publications have increased significantly in recent years, with China emerging as the leading contributor to scientific output. Keyword analysis reveals that major research themes include solar energy, renewable energy, and solar power generation, while floating photovoltaic remains an evolving topic. In addition to addressing land scarcity issues, FPV technology offers additional benefits such as improved solar panel efficiency and reduced water evaporation. However, technical, economic, and environmental challenges remain important concerns for future studies. Overall, FPV demonstrates strong potential as an innovative renewable energy solution that supports sustainable energy development in areas with limited land availability.
Failure Analysis of Centrifugal Pump Impeller in Textile Wastewater Using a Visual and Erosion-Corrosion Approach Jejen Jaelani Frihatna; Wisnu Wijaya; Cecep Deni Mulyadi; Mohamad Agus Fhaizal; Winardi Sani; Hanny Rahayu
J-ENSITEC Vol. 12 No. 02 (2026): June 2026
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i02.18060

Abstract

Premature impeller failure is a major operational problem in textile wastewater treatment systems due to abrasive slurry flow and chemically aggressive environments. This study investigates the failure mechanism of a centrifugal pump impeller used in a textile wastewater treatment plant after approximately 1.5 years of operation. The impeller material was identified as gray cast iron operating under slurry wastewater conditions containing suspended abrasive particles and chemical contaminants. The failure analysis was conducted through visual inspection, morphology evaluation, and literature-based erosion–corrosion interpretation. Severe degradation was observed in the outer diameter region, including pitting, edge thinning, perforation, and material loss. The damage was associated with abrasive particle impact, high turbulence intensity, slurry flow, and corrosive wastewater exposure. The results indicate that synergistic erosion–corrosion was the dominant degradation mechanism. Erosion continuously removed the protective oxide layer, while corrosion accelerated material weakening and surface deterioration. Recent erosion studies on centrifugal pumps also reported severe degradation near blade tips and outer diameter regions due to high particle impact energy and turbulence effects. Compared with previous studies that separately discuss erosion or corrosion mechanisms, this study emphasizes the interaction of both mechanisms under textile wastewater operating conditions. The findings provide practical implications for improving pump reliability through better material selection, slurry filtration systems, and preventive maintenance strategies in wastewater treatment applications.
Web-Based Geographic Information System For Mapping Non-Metallic Mineral And Rock Mining In North Central Timor Regency Elenora naiobe; Yoseph Pius Kurniwan Kelen; Anastasia Kadek Dety Lestari
J-ENSITEC Vol. 12 No. 02 (2026): June 2026
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i02.18139

Abstract

The monitoring and dissemination of information regarding non-metallic mineral and rock mining locations in North Central Timor (TTU) Regency remain constrained by conventional, non-digital data collection systems. This study aims to develop a web-based Geographic Information System (GIS) capable of accurately and integrally mapping and presenting mining locations in TTU Regency. This applied research employs a Prototype development model, integrating the Google Maps API for interactive spatial visualization and a role-based data entry mechanism to separate admin and user functions. Black-box Testing results confirm that all functions on both admin and user sides operate as specified, enabling the digitization of mining attribute data (e.g., IUP SK numbers, area size, operational status). The main contributions of this study are: (1) improving the efficiency of mining data management at the ESDM Branch Office Region I, and (2) providing more transparent, real-time public access to mining location information, thereby addressing the limitations of conventional systems.
PENGARUH PENAMBAHAN FUEL OIL ADDITIVE (FOA) TERHADAP PERFORMA DAN KONSUMSI BAHAN BAKAR MESIN DIESEL BERBAHAN BAKAR B20 Moch. Syaiful Anwar; Mochamad Shaleh
J-ENSITEC Vol. 10 No. 01 (2023): December 2023
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v10i01.18277

Abstract

This study aimed to analyze the effect of Fuel Oil Additive (FOA) on the performance and fuel consumption of diesel engines fueled with B20 biodiesel. The research used an experimental quantitative method by comparing the Specific Fuel Consumption (SFC) values of diesel engines operating with B20 fuel and B20 mixed with FOA under different loading conditions. The tests were conducted on a 6DV-32 diesel engine generator with loading variations of 50%, 75%, and 100%. The results showed that the addition of FOA improved fuel efficiency at medium and high engine loads. At 75% load, the SFC value decreased from 0.309 liter/kWh to 0.291 liter/kWh, representing a reduction of 5.82%. At 100% load, the SFC value decreased significantly from 0.292 liter/kWh to 0.246 liter/kWh, with an efficiency improvement of 15.75%. However, at 50% load, the SFC value increased from 0.312 liter/kWh to 0.329 liter/kWh or by 5.45%, indicating that FOA performance was less effective at low engine loads. The findings indicate that the use of Fuel Oil Additive enhances combustion quality and improves fuel consumption efficiency, particularly under high loading conditions. Therefore, B20+FOA has the potential to be applied as an alternative fuel solution for improving diesel engine operational efficiency.
ANALISIS KARAKTERISTIK TEKANAN PEMBAKARAN MESIN DIESEL MENGGUNAKAN SOFTWARE SOFTHALIZA 8.7 Moch. Syaiful Anwar; Mochamad Shaleh
J-ENSITEC Vol. 11 No. 01 (2024): December 2024
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v11i01.18278

Abstract

This study analyzes the combustion pressure characteristics of Diesel Engine #8 using SoftHaliza 8.7 software through the Pressure Combustion Analysis (PCA) method. The research aimed to evaluate the effect of fuel additive usage on combustion pressure performance in each cylinder. Data collection was conducted by measuring combustion pressure before and after the application of fuel additive under stable engine operating conditions.The analysis results showed that the use of fuel additive improved the combustion characteristics in all cylinders. The average combustion pressure increased from 56.50 bar before additive application to 67.99 bar after additive application, with an average deviation of 11.49 bar. The highest pressure increase occurred in Cylinder 4 with a deviation of 17.3 bar, while the lowest increase was observed in Cylinder 5 with a deviation of 8.9 bar. In addition, the combustion pressure graphs generated by SoftHaliza 8.7 indicated smoother and more stable expansion curves after additive application, reflecting a more complete combustion process and improved combustion efficiency.Overall, SoftHaliza 8.7 proved effective for monitoring combustion pressure characteristics, identifying combustion conditions in each cylinder, and supporting predictive maintenance activities to improve the reliability and operational performance of diesel engines.
EVALUASI KINERJA MESIN DIESEL BERDASARKAN ANALISIS INDICATED HORSE POWER (IHP) Moch. Syaiful Anwar; Mochamad Shaleh
J-ENSITEC Vol. 12 No. 01 (2025): December 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i01.18281

Abstract

This research evaluates the performance of a diesel engine based on the analysis of Indicated Horse Power (IHP) using the Pressure Combustion Analysis (PCA) method. The study applied a quantitative descriptive approach by measuring combustion pressure in each cylinder under stable operating conditions. Data acquisition was carried out using the Haliza Machinery & Diesel Engine Analyzer combined with SoftHaliza software for processing combustion characteristics and engine performance parameters. The investigation focused on several variables, including combustion pressure, ignition delay, pressure at crank angle 340°, combustion stability, and IHP distribution among cylinders. The results indicated that the combustion process in all cylinders operated under normal conditions with relatively stable pressure patterns. No significant abnormalities such as excessive ignition delay, combustion instability, or diesel knocking were identified during testing. The analysis also showed that the total Indicated Horse Power generated by the engine reached 1730.3 kW, equivalent to approximately 87% of the generator output capacity of 4000 kW. In addition, the uniformity of combustion pressure among cylinders demonstrated that the fuel injection and combustion systems were functioning properly. Overall, the PCA method proved effective for monitoring combustion characteristics and evaluating diesel engine performance. The method can therefore be implemented as part of a predictive maintenance strategy to improve operational reliability, combustion efficiency, and engine durability in diesel power generation systems.
Comparison of Machine Learning Algorithms (SVM, Random Forest, and Naïve Bayes) for Predicting Rice Production Oki Dahwanu; Nurul Abdillah; Niko Akbar; Hamzah Alghifari
J-ENSITEC Vol. 12 No. 02 (2026): June 2026
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i02.18386

Abstract

Global rice production faces mounting pressure from population growth and climate change, yet traditional statistical models fail to capture the complex nonlinear dynamics between environmental factors and crop yields. To address this gap, this study systematically compares the accuracy of three machine learning algorithms, Support Vector Machine (SVM), Random Forest (RF), and Naïve Bayes (NB) for predicting rice production fluctuations due to climate change using the latest local climate data from Indonesia. A dataset of 96 monthly observations (2018–2025) comprising climate features (temperature, humidity, wind speed, precipitation, cloud cover, sunshine duration) and rice production categories (Low, Medium, High) was analyzed. Algorithm performance was evaluated using accuracy, precision, recall, and F1-score. The results demonstrate that Random Forest significantly outperforms the other methods, achieving an accuracy of 95%, precision of 0.9571, recall of 0.95, and F1-score of 0.95, compared to SVM (75% accuracy) and Naïve Bayes (70% accuracy). This study provides the first head-to-head comparison of these three algorithms for rice yield prediction in Indonesia using current climate data. The key benefit over pre-existing approaches is the empirical confirmation that ensemble learning, particularly Random Forest, offers superior predictive reliability for crop yield forecasting under high feature complexity, thereby enabling more accurate, data-driven agricultural policy and food security planning.
Hardware Requirements Analysis for Administrative Staff in Higher Education Hafidz Sanjaya; Fajar Maula Hidayat
J-ENSITEC Vol. 12 No. 02 (2026): June 2026
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i02.18424

Abstract

The use of computer hardware that does not match workload requirements remains a common issue in higher education administrative activities, leading to reduced efficiency and productivity. This study aims to analyze hardware requirements for administrative staff at the Faculty of Psychology, Business, and Technology, Universitas Yayasan Pendidikan Imam Bonjol Majalengka, and to propose optimal hardware specifications. A case study approach was employed by evaluating three devices used by three staff members through observation and system performance assessment. The main contribution of this study lies in providing a workload-based hardware analysis supported by simple performance benchmarking to demonstrate the impact of hardware upgrades. The results indicate that existing systems, equipped with older mid-range processors, 4–8 GB RAM, and HDD storage, are insufficient to support multitasking and data processing efficiently. Performance testing shows that data input processing time, initially ranging from 10–12 minutes, can be reduced to 4–6 minutes using the recommended specifications. This represents an efficiency improvement of approximately 50–60% and a significant reduction in system latency. Therefore, this study offers a more measurable and evidence-based approach to hardware planning compared to conventional descriptive methods.
Optimization Of Plastic Injection Manufacturing Process To Minimize Defects In Motorcycle Components AT PT XYZ Naufal Khairum; Nurman Nurhakim; M Sahrul Hidayat
J-ENSITEC Vol. 12 No. 02 (2026): June 2026
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v12i02.18527

Abstract

PT XYZ is one of the largest two-wheeled automotive manufacturers that utilizes the plastic injection molding process to produce motorcycle body components, where the visual quality and dimensional stability of polymer-based exterior parts are critical to the final product aesthetics. The use of recycled material (regrind) from rejected products and runner systems via a crusher process often triggers melt viscosity fluctuations inside the heating barrel. This variation consequently induces physical defects such as sink marks, flash, and short shots on the plastic injection molding machines. This study aims to optimize the molding process parameters to minimize the defect rate of exterior body components using Response Surface Methodology (RSM) with a Central Composite Design (CCD) approach. Actual full-scale experiments were conducted on a 1300-Ton KraussMaffei two-platen machine equipped with Magnetic Clamping System technology, utilizing a material formulation blend of 75% Natural ABS, 5% Black Masterbatch, and 20% regrind. The optimized parameters include injection pressure, melt temperature, holding pressure, and cooling time. The response surface analysis revealed that the most optimal operating parameter combination was achieved at an injection pressure of 168 MPa, a melt temperature of 248°C, a holding pressure of 112 MPa, and a cooling time of 24 seconds. The implementation of these optimal settings on the actual production floor successfully reduced the total component defect rate significantly from an initial 4.20% down to 0.85%.

Page 15 of 16 | Total Record : 151

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