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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 20 Documents
 1   2 
Design and Implementation of The Dude Mikrotik Server Using Telegram Bot as Monitoring Client Network and Internet Connection Pratama, Ahmad Bagus Putra; Handoyo, Eko; Shodiq, Muhammad
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1033

Abstract

Network management and monitoring are crucial, especially in educational environments such as SMK Wachid Hasjim Maduran, which has a network with various devices and connected clients. The high number of users accessing the network often leads to bandwidth issues. This research aims to implement The Dude, a MikroTik-based network monitoring application, to detect and address bandwidth problems and monitor the status of client devices (up/down). The system is equipped with a notification feature that sends real-time information to network administrators via Telegram regarding the network's condition. Monitoring is conducted using The Dude, which can map all devices in the network and monitor their performance and status. When a bandwidth issue occurs or a client device goes down, the system automatically sends a notification to Telegram. This allows administrators to take the necessary actions promptly without always being in front of the computer. The results of this implementation show that utilizing The Dude in combination with Telegram notifications is effective in real-time network monitoring, reducing downtime, and improving response to network issues. This system is expected to be an efficient solution for network management in educational environments and can be adopted by other institutions facing similar challenges.   Keywords - MikroTik, Monitoring, Telegram Notification, The Dude.
Decision Support System for Prioritizing Road Repairs with Simple Additive Weighting Method Ramadhan, Bayu Putra; Ardiansyah, Heri; Bianto, Mufti Ari; Saputra, Bagus Dwi; Widodo, Aris
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1040

Abstract

The Decision Support System (DSS) is a technology utilized to address the issue of determining road improvement priorities. In this context, DSS will be used to integrate various road assessment criteria and provide recommendations for repair priorities based on proven methods. The aim of this study is to design a decision support system for prioritizing road repairs in Lamongan Regency and to implement this system effectively. The Simple Additive Weighting (SAW) method was chosen for its ability to handle multiple criteria and provide measurable evaluations of alternative solutions. The criteria used in this research include road condition, traffic volume, and socio-economic impact. The results of this system demonstrate a prioritization order for road repairs that can assist in more efficient decision-making, focusing on the most urgent needs. This research is expected to contribute to improving the efficiency of road infrastructure management and to aid authorities in the planning and execution of road repairs. Keywords-- Decision Support System; Road Repair Priority; Simple Additive Weighting.
Fuzzy Analytical Hierarchy Process Method for Housing Recommendation Decision Support System Mala Rosa Aprillya; Yunitarini, Rika; Jauhari, Achmad
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1221

Abstract

Population growth in Indonesia that increases every year, encourages people to meet their basic needs, such as housing. Along with this, it encourages developers to offer various types of housing. The problem that is often faced is that consumers often feel confused in finding housing that will be chosen as a residential house that fits the criteria. The purpose of this study is to build a web-based decision support system that can provide housing recommendations that suit buyers by applying the FAHP method. This method is known for its ability to process weighting from several criteria and categories to produce several good alternative choices. There are five criteria that will be used in this study, including price, land area, building area, number of rooms, and number of floors taken from 4 developers in the city of Gresik. The results of the study show that this decision support system can help buyers in providing good housing recommendation solutions. System testing with the black box method shows that this system able to display good information. Based on the results of the questionnaire distributed to buyers, it can be concluded that the existence of this system provides benefits and positive impacts for buyers in choosing housing, with a satisfaction value of 97.2%. Keyword- Decision Support System; Housing; Fuzzy Analytical Hierarchy Process.
Application of Statistic Quality Control Method and Kaizen Approach in Controlling the Quality of Potato Products Haristanti, Sindy Nindia; Aprillya, Mala Rosa; Faizah, Mustika Ratnawati; Sulaiman , Yoga Aulia
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1226

Abstract

Abstract⎯ Quality control has the aim of reducing the number of defective or damaged products, maintaining products according to predetermined standards and avoiding the escape of defective products into the hands of consumers. Micro Enterprises play an important role in running a business to improve the economy by paying attention to product quality capital. One of the products that come from marine commodities is potato chips. This study aims to analyze the control of crab chips production whether the product is still within the control limits or not, as well as to find the cause of damage or defective products. To measure product damage that can be accepted by the company using the Statistical Quality Control (SQC) method which functions to manage and control the manufacturing process with statistical methods. The results of this study indicate that the control of the potato chips production process has been controlled because the points on the p map are still within the control limits, but there is still a need for improvement proposals to improve product quality by using the Kaizen 5W + 1H concept. Factors that cause damage are fishbone diagrams, materials, labor, methods and machines. Keywords⎯ Kaizen 5W + 1 H ; Statistical Quality Control
Analysis of Water Quality Pollution in The Tempur River Based On TDS, TSS, Temperature, and Color Parameters Khasanah, Ulfa Niswatul; Alfika, Rifqia Rahma Alfika
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1229

Abstract

This study aims to analyze the level of water pollution in the Tempur River based on physical parameters, including Total Dissolved Solids (TDS), Total Suspended Solids (TSS), temperature, and color. The Tempur River is one of the water sources used by the surrounding community, so it is important to know its water quality condition. Sampling was carried out at several strategic points along the river. Laboratory analysis was performed to measure TDS, TSS, temperature, and water color intensity, then compared with the quality standards set in Government Regulation No. 22 of 2021 regarding Water Quality and Water Pollution Control. The temperature, TDS, and color parameters of the Tempur River are still within the quality standard limits set by Government Regulation No. 22 of 2021 The results show that the water temperature of 28.9°C is within the normal range but close to the upper limit, potentially influenced by high sunlight intensity, low vegetation shading, and shallow river depth. The TDS level of 305 mg/L is well below the maximum threshold of 1000 mg/L, indicating that dissolved substances are within safe limits, though minor anthropogenic activities may contribute to this value. The TSS concentration of 35 mg/L is below the allowable limit set by Government Regulation No. 82 of 2001, suggesting the water is relatively clear and suitable for agricultural and fishery use. Furthermore, the water color value of 15.0 Pt-Co is significantly below the threshold of 50 Pt-Co, indicating clear water with minimal pollution from dissolved organic compounds or industrial waste. Overall, the water quality of the Tempur River remains within acceptable limits, though ongoing monitoring is recommended to maintain its suitability for various uses. Keywords- Color Parameter; TDS; Temperature; Tempur River; TSS; Water Pollution.  
Antioxidant Testing of Manggo Constraint Leaves Extract (Dendrophthoe Pentandra) Dekokta Results Umarudin; Octifany, Salsabila; Kusumo, Galuh Gondo; Aristyawan, Andhika Dwi; Yuliarni, Floreta Fiska; Renaisansa, Ramadhan; Pertiwi, Husadhani Dwi
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1232

Abstract

Mango mistletoe leaves have been identified as a natural source of antioxidants because they contain the quarcetin. The aim of this research is to determine whether mango mistletoe Dendrophthoe pentandra leaf extract extracted using the dekokta method has antioxidant activity if tested using the DPPH method. This research was carried out by extracting samples of mango mistletoe leaf powder Dendrophthoe pentandra using the  decoction method, the extract obtained was tested for antioxidant activity using the DPPH method using UV-Vis spectrophotometry with a comparison in the form of vitamin C. The results of the mango mistletoe leaf extract was tested at a wavelength of λ 521.5 nm obtained with an IC50 value of 322.80 ppm, with SD ± 107.08 and RSD 33.17%. while for ascorbic acid the IC50 value was 53.89 ppm, with SD ± 6.39 and RSD 11.86%. This research can be concluded that the dekokta mango mistletoe leaf extract has very weak antioxidant activity while ascorbic acidhas relatively strong antioxidant activity. It would be advisable to measure the levels of secondary metabolites contained in the extract of mango mistletoe and it is necessary to carry out research on the antioxidant activity of mistletoe mango leaf extract using methods other than the DPPH method.   Keywords - Antioxidants; Decoction; Dendrophthoe pentandr; DPPH.
Surface Roughness Prediction in CNC Turning Using Artificial Neural Network (ANN) Khairul Umam; Adilla Tristianto, Charismanda; Jufriyanto, Moh; Sya'roni , Imam
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.v2i2.1370

Abstract

Computer Numerical Control (CNC) turning is one of the most widely applied precision machining technologies in modern manufacturing, where surface quality is a key determinant of product performance and reliability. Surface roughness (Ra) is recognized as one of the most critical parameters for evaluating machining results. However, reliance on operator experience in selecting machining parameters often leads to inefficiencies and inconsistent surface quality, indicating the need for more accurate predictive approaches. This study proposes an Artificial Neural Network (ANN)-based model to predict surface roughness in CNC turning using two distinct experimental configurations. The first experiment (Exp1) employs three identical factor variations, whereas the second experiment (Exp2) incorporates different factorial combinations to introduce broader variability. The developed ANN architecture consists of four dense layers with ReLU and LeakyReLU activation functions, complemented by dropout layers to mitigate overfitting arising from the relatively small dataset. The results show that the ANN model effectively learns the nonlinear relationships between machining parameters and Ra values. Furthermore, the model achieves higher predictive accuracy in Exp2, likely due to its more structured parameter variations. Overall, the findings demonstrate that ANN-based prediction provides a promising and efficient approach for enhancing accuracy in surface quality assessment within CNC turning operations.   Keywords-  Artificial Neural Network (ANN); CNC Turning; Surface Roughness.  
A Data-Driven Machine Learning for Predicting Student Stress Levels Purwati, Neni; Priyono, Agus; Rizky Al'insani, Adam; Darmawan
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.v2i2.1380

Abstract

Academic stress significantly impacts students' psychological well-being and academic performance. This study focuses on predicting students' stress levels using a data-driven machine learning framework. The dataset was obtained from a questionnaire comprising 25 indicators encompassing emotional, psychological, academic, and environmental aspects of students. The research procedure involved data preprocessing, checking for missing values and redundancy, normalization, descriptive statistical analysis, model development, and performance evaluation using metrics such as recall, precision, sensitivity, specificity, F-measure, and accuracy. The implemented algorithm achieved excellent results, with an overall accuracy of 0.98. The model demonstrated high effectiveness in classifying Eustress and Distress, while its performance in detecting the No Stress category was limited, although precision and specificity indicate a strong capacity to differentiate between classes. These findings confirm that a machine learning approach can effectively capture patterns of student stress based on questionnaire responses and offers valuable guidance for developing early warning systems and targeted psychological intervention strategies. The study highlights the potential of data-driven predictive methods in supporting students' mental health through empirical data analysis. Keywords - LibSVM; Machine Learning; Predicting; Stress Levels; Tree Ensemble.
Analysis of Workload of Cireng Production Workers Using The Nasa-TlX Method at UD. Mitra Abadi Maduran Ainur Rohman Fatikh, Muhammad; Abdullah, Ishlahuddin
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.v2i2.1384

Abstract

This study aims to analyze the workload experienced by workers in the production of snow cireng and chicken-filled cireng at UD Mitra Abadi, Duriwetan Village, Maduran Subdistrict, Lamongan. The production process involves high physical and mental demands, especially in activities such as manually mixing dough, shaping dough, lifting raw materials, and performing packaging. The NASA Task Load Index (NASA-TLX) method is used to measure perceived workload based on six dimensions, namely mental demand, physical demand, time pressure, effort, level of success, and level of frustration. Data collection was obtained through observation, interviews, and distributing questionnaires to workers. The results of the study show that the workers' workload level falls into the high category, with the indicators most influencing the workload being Effort (27.50%) and Physical Demand (22.50%), which indicates that production activities require significant physical effort and are performed repeatedly, making it the most dominant factor causing fatigue. Some workers also complain of discomfort in the back, shoulders, and arms due to manual work and less ergonomic working postures. Recommended improvements include adding male workers so tasks do not overlap and the workload is reduced, as well as adding automatic mixing machines to decrease physical fatigue. The use of PPE such as heat-resistant gloves should be mandatory, and the layout and height of worktables need to be adjusted to be more ergonomic and reduce physical complaints. Keywords- Workload; NASA-TLX Method; Ergonomics.
Implementation of Halal Supply Chain Management to Achieve Sustainable Performance in the Onion Stick Home Industry Ferlania, Dianda Aryntya Firia; Rahadian, Yanuar Rafi
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.v2i2.1387

Abstract

The onion stick home industry is one of the small-scale food sectors in Indonesia that significantly contributes to local employment and income. Ensuring halal compliance is crucial not only to meet consumer demands but also to enhance sustainable performance. This study aims to examine the implementation of Halal Supply Chain Management (HSCM) and its impact on sustainable performance in the onion stick home industry. Data were collected through surveys and interviews with home industry producers, focusing on four main dimensions of HSCM: halal sourcing, halal production, halal warehousing, and halal distribution. Sustainable performance was measured across economic, environmental, and social indicators. The results indicate that the implementation of HSCM in home industries is moderate, with strong awareness of halal practices but limited formal documentation. Despite these limitations, HSCM positively affects sustainable performance, particularly economic and social aspects. The study also identifies challenges such as limited knowledge of formal halal standards, inadequate documentation, and financial constraints in obtaining halal certification. Strengthening supplier verification, formalizing standard operating procedures, and providing training and government support are recommended to enhance both halal compliance and sustainability. Keywords¾ Halal Supply Chain Management; sustainable performance; home industry; small-scale food industry.

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