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Muhamad Azwar Annas
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ijenset@umla.ac.id
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Fakultas Sains Teknologi dan Pendidikan , Universitas Muhammadiyah Lamongan
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INDONESIA
IJENSET
Published by Universitas Muhammadiyah Lamongan
ISSN : -     EISSN : 30892392     DOI : https://doi.org/10.38040/ijenset
Core Subject : Science, Engineering,
Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Indonesian Journal of Engineering, Science and Technology (IJENSET) is an open access and peer-reviewed scholarly journal published by the Faculty of Science Technology and Education, Universitas Muhammadiyah Lamongan. The purpose of this journal publication is to disseminate new theories and research results that have been achieved in the field of Engineering Industrial Engineering Science Biology Physics Technology Computer Science Medical of Informatics Technology in Electronic Engineering in Electronic Electronics Learning IJENSET is providing a platform that welcomes and acknowledges high quality empirical original research papers about education written by researchers, academicians, professionals, and practitioners from all over the world.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 27 Documents
 1   2   3 
Analysis of Binder Material and Concentration on the Combustion Rate of Organic Waste Briquettes in Blitar Yuliarochma Pratiwi; Ulfa Niswatul Khasanah; Kartika Wulandary
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 2 (2025): VOL. 02 NO. 02 (DECEMBER 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i2.1452

Abstract

Global energy crisis and the increasing amount of organic waste require innovative and environmentally friendly waste management solutions that can also provide alternative energy sources simultaneously. This study aims to analyze the effect of the type and concentration of binder on the burning rate of organic waste briquettes produced by the Blitar City Environmental Agency. The raw material used is dry leaves mixed with organic binders, namely dextrin and tapioca, with concentrations of 10%, 20%, and 30% respectively. The briquette production process includes drying, grinding, mixing with the binder, pressing, and testing through density measurement and burning rate analysis. The study results show that the type and concentration of the binder significantly affect the performance of the briquettes. An increase in tapioca binder concentration leads to a gradual increase in the burning rate, indicating its role as a combustible component. In contrast, higher dextrin concentration reduces the burning rate but extends the burning duration, with the lowest burning rate observed in sample A3. The optimal variation was achieved using tapioca binder at a concentration of 20% (sample B2), which produced a stable burning rate. These findings contribute to the development of more efficient biomass briquette technology by providing guidance on selecting the appropriate type and proportion of binder to enhance fuel performance.   Keywords- Binder Concentration, Binder Type, Briquettes, Combustion Rate, Organic Waste.  
Stroke Risk Prediction Using CatBoost with an Explainable Artificial Intelligence Approach Khairul Umam; M Wicaksana Wibowo Sadewa
Indonesian Journal of Engineering, Science and Technology Vol. 3 No. 1 (2026): VOL. 03 NO. 01 (JUNE 2026)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v3i1.1490

Abstract

Stroke is among the main causes of death worldwide. According to the World Health Organization (WHO), strokes, including ischemic and hemorrhagic, account for around 11% of global mortality. Therefore, early prediction is crucial as part of efforts to prevent the risk of stroke and to assist healthcare professionals in clinical decision-making. This work aims to develop a stroke risk prediction model using the CatBoost algorithm, and to interpret the prediction results using an Explainable Artificial Intelligence (XAI) approach through the SHAP method. The CatBoost model's evaluation results demonstrate strong performance, with AUC = 0.98, an F1-score = 0.91, precision = 0.92, recall = 0.90, and accuracy of 0.93. Furthermore, the XAI analysis utilizing SHAP showed that the CatBoost model not only delivers highly accurate predictions but also successfully identifies the most relevant features leading to stroke risk, namely age, body mass index (BMI), and mean level of glucose. Finally, a comparative examination with various different machine learning models demonstrates that the CatBoost model obtains the best performance and is extremely useful in predicting stroke risk.
Integrating Lean and Operations Research to Reduce Waste in Food and Beverage MSMEs A. Anas Haikal; Citra Dwi Kusumawardani; Henry Hafidz Anbiya
Indonesian Journal of Engineering, Science and Technology Vol. 3 No. 1 (2026): VOL. 03 NO. 01 (JUNE 2026)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v3i1.1495

Abstract

This study proposes a production optimization model for a multi-variant rice bowl micro, small, and medium enterprise (MSME) by integrating lean analysis and Mixed Integer Linear Programming (MILP). The problem addressed is raw material waste caused by differences in ingredient composition and discrete purchasing constraints. Data were collected from an MSME producing four variants: sweet spicy, sambal matah, opor, and black pepper. The collected data include raw material requirements, purchasing package sizes, minimum demand, and profit per product. Lean analysis was used to identify material waste, which was then incorporated into an MILP model to determine optimal production quantities while satisfying material and demand constraints. The model was solved using Microsoft Excel Solver with the Simplex LP method. The optimization results recommend producing 23 sweet spicy, 30 sambal matah, 25 opor, and 20 black pepper rice bowls. The proposed model reduces total material waste by 62.6% and generates a total profit of IDR 884,000. The findings indicate that integrating lean principles with MILP effectively improves production efficiency and reduces waste in multi-variant food production systems.. Keywords: Lean manufacturing; Mixed Integer Linear Programming (MILP); Production optimization; Material waste reduction; MSME food production.
Analysis of the Document Management Information System Using the Rapid Application Development Method M. Nurul ihsan; Khairul Umam; Mala Rosa Aprillya; Darmawan
Indonesian Journal of Engineering, Science and Technology Vol. 3 No. 1 (2026): VOL. 03 NO. 01 (JUNE 2026)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v3i1.1512

Abstract

The rapid advancement of information technology has pushed higher education institutions to improve document management efficiency, yet many study programs still rely on manual processes or non-integrated storage, causing data duplication, retrieval difficulties, weak security, and inefficient archiving. This study aims to develop a web-based Study Program Document Management Information System using the Rapid Application Development (RAD) method to enable centralized, integrated, and secure document management. The RAD approach comprised four stages: requirements planning, user design, system construction, and testing and implementation. Data were collected through field observations, stakeholder interviews, and analyses of hardware and software requirements. The system was built using PHP and MariaDB as the RDBMS, providing key features such as login authentication with CAPTCHA security, document upload and download, categorization, search, and user management. Based on Black Box Testing, all 35 test cases were executed successfully without failures, yielding a system validity of 100%. Therefore, the developed system is considered valid, feasible, and effective in improving digital document management, administrative efficiency, and accreditation support for study programs. Keywords: Document Management System; Rapid Application Development; Information System; Black Box Testing; Study Program.
Microbiological Contamination Profiling of Geothermal Hot Spring Water at Gambiran Padusan Bath, Pacet District, Mojokerto Regency Umarudin Umarudin; Ramadhan Renaisansa; Aisyah Hadi Ramadani
Indonesian Journal of Engineering, Science and Technology Vol. 3 No. 1 (2026): VOL. 03 NO. 01 (JUNE 2026)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v3i1.1448

Abstract

This study provides an initial microbiological load assessment of Gambiran Padusan Bath hot spring water (36–39°C) using Total Plate Count (TPC) analysis based on ISO 4833-1:2013 standards. Pour plate technique on nutrient agar with 0.9% NaCl, across dilutions 10⁻¹ to 10⁻⁶, yielded 4.84 × 10⁴ CFU/mL from valid plates (25-250 colonies; averages: 219, 168.3, 126.3 CFU). Triplicate plating ensured reproducibility (RSD <10%, CV <15%), with declining counts in higher dilutions (17.7 to 0 CFU) confirming methodological reliability. Endogenous geothermal heat provides intrinsic disinfection, selectively favoring beneficial aerobes over pathogens, aligning TPC below WHO (<10⁵ CFU/mL) and BPAK 2017 recreational limits. Padusan's controlled microbiota poses minimal dermal/opportunistic infection risk during 15-20 min hydrotherapy sessions, supporting musculoskeletal relaxation (20-30% tension reduction), anti-inflammatory mineral absorption, and stress relief via endorphin induction. Logarithmic dilutions and 37±1°C incubation (mimicking skin temperature) optimized mesophile profiling, distinguishing therapeutic safety from bioprospecting. Negative 10⁻⁶ growth rules out hyper-contamination/aerosol risks. This baseline enables temporal monitoring, geotourism capacity planning (max 50 bathers/hour), and sustainable development, bridging public health with enzymatic bioprospecting potentials.   Keywords - Hot Spring; Hydrotherapy Safety; Microbial Load; Plate Count; Water Quality
Quality Control Using the Six Sigma Method to Minimize Damage to Type 2268.2 Jars at PT X Charismanda Adilla Tristanto; Muhammad Sufyan Tsaury; Raiza Ika Febriana
Indonesian Journal of Engineering, Science and Technology Vol. 3 No. 1 (2026): VOL. 03 NO. 01 (JUNE 2026)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v3i1.1482

Abstract

PT X is a plastic jar manufacturing company that produces 14,000 jars per day using 12 machines. A recurring problem is the high number of defective products, which makes lid-to-body assembly difficult. This study aimed to identify the causes of defects and recommend quality improvements using the Six Sigma method. The results showed that the most frequent defects were falling breakage (1,004 cases) and ejection defects (712 cases). Statistical control values (CL, UCL, and LCL) were still within control limits, while the cause-and-effect analysis indicated that human factors were the main source of defects. The key improvement priorities are strengthening SOP implementation and providing better training on injection machine operation. Although the sigma level of 4.1 indicates fairly good performance, quality improvement remains necessary to enhance productivity.
Modeling and Analysis of Vibration Amplitude Reduction in In-Wheel Electric Vehicle Using a Regenerative Tune Mass Damper (TMD) Margiasih Liana; I Kadek Warjaya
Indonesian Journal of Engineering, Science and Technology Vol. 3 No. 1 (2026): VOL. 03 NO. 01 (JUNE 2026)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v3i1.1496

Abstract

This is a digest of the paper. One of the features of in-wheel electric vehicles is an increase in unsprung mass due to the integration of the motor into the wheel. It’s resulting in both increased vibration amplitude and reduced Vehicle comfort and stability. The purpose of this study is to model and analyze the reduction in vibration amplitude in the suspension system of in-wheel electric vehicles using an electromagnetic-based Regenerative Tuned Mass Damper (TMD). A dynamic model was developed using the quarter-car approach and transformed to state-space form for simulation in MATLAB. The parameters used were TMD masses of 5 to 15 kg with an increase of 1 kg, with road excitation testing conducted using a sinusoidal wave with an amplitude of 0.02 m and a frequency of 5 Hz. The results were then evaluated based on the Root Mean Square (RMS) value of vehicle unsprung mass acceleration as an indicator of vibration-damping performance. The results show that implementing TMD improves vibration attenuation compared to the baseline system, increasing vibration reduction from 16.97% to 18.81%. The system performs best at a TMD mass of around 8 kg, while achieves maximal damping effectiveness. However, increasing TMD mass beyond the ideal point decreases vibration attenuation efficacy, indicating a detuning impact between the TMD and the primary system. In contrast, the regenerative TMD generates electrical energy that increases with mass, with output power increasing from 5.04 W to 11.17 W. This study contributes to the development of adaptive suspension system designs to minimize the risk of failure at the in-wheel motor of electric vehicles while generating energy recovery.

Page 3 of 3 | Total Record : 27

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