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Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30318750     EISSN : 30318742     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer memuat naskah hasil-hasil penelitian di bidang Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 213 Documents
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Penerapan Diagram Sebab Akibat (Fishbone Diagram) pada Identifikasi Kerusakan Mekanisme Pengumpan dan Penyusuana Standard Operating Procedure Mesin Skrap Mad Yusup; Purbawati Purbawati; Diyaa Aaisyah Salmaa Putri Atmaja; Ida Rosanti
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.619

Abstract

This study aims to use the fishbone diagram as a tool to identify the causes of damage to the feeder mechanism of scrap machines and to develop Standard Operating Procedures (SOP) that can improve performance and reduce the level of damage. This diagram is used to evaluate various elements that contribute to the damage of the feeder mechanism, such as human, machine, material, method, and environmental factors. Through this evaluation, the main causes of the damage can be identified, and appropriate corrective actions can be formulated. In addition, this research also aims to design SOPs that ensure more efficient operation of the scrap machine and reduce the likelihood of operational errors. The implementation of mechanism improvements and SOPs is expected to enhance the reliability of the scrap machine, reduce downtime, and increase productivity in the mechanical technology laboratory. The findings of this study are expected to make a significant contribution to the development of management systems and equipment maintenance in both industrial and educational sectors.
Impact Of Quality Courseware on Effective E-Learning Saif M. Duhaim; Zahraa H. Ghadhban
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.624

Abstract

Courseware is an effective and important teaching and learning model, and it is at the core of the process of creating e-learning. The objective of this paper is to show effect of quality courseware on effective e-learning. A quantitative research approach by questionnaire has been utilized. A total 90 participants have been surveyed with the use of the questionnaire. This study shows that quality courseware was the most significant positive factor and more import e learning success.
Implementasi dengan Metode Cpm-Pert Terhadap Penjadwalan Proses Produksi Conveyor Table Top Chain pada CV. Adikarya Teknik Sidoarjo Erwin Saputro; Handy Febri Satoto
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.644

Abstract

Cv. Adikarya Teknik is one of the manufacturing companies engaged in the field of mechanical engineering that produces wire mesh and conveyor table top chains. Cv. Adikarya Teknik has 6 projects that did not meet the 2024 work targets, resulting in delays in the completion of Conveyor Table Top Chain products. The delays are quite significant, with the work for Aqua Mineral Water being delayed by 11 days and Pocari by 10 days. Production analysis using the CPM and PERT methods to identify priority issues of delay risks and improve operational efficiency. By using the CPM method, it was found that the critical path of the Conveyor Table Top Chain production project lies in activities A-B-C-E-F-G-H-I-J-K-L-M-N (all located on the critical path). There is slack in activity D (Incoming Material); if it is delayed, it will not affect the critical path activities. The results of the PERT method on the Conveyor Table Top Chain project show that the probability of the conveyor production project being completed faster than the usual time, which is within a duration of 127 days, is 84%.
Pembuatan Aplikasi Input Data Laboratorium Menggunakan Microsoft Access Wandi Sujatmiko; Nurbiah Nurbiah; Rofianto Rofianto; Pratama Muhridan
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.653

Abstract

With the increasing development of society, information is an important tool today. Information forces every person, both individuals and groups, both private and government, to calculate the information system that will be implemented in order to remain competitive in the era of globalization. In this case, the implementation of the right strategy allows every government agency to further improve services. In addition, the rapid advancement of information technology, but the lack of proper utilization. In general, the problems faced in the Information Technology Study Program Laboratory of Aisyiyah Pontianak Polytechnic are the suboptimal service of the inventory system where laboratory data is still manual so that the search time for equipment takes a long time. In instrumentation maintenance if it is still manual, it will be difficult to find out how many hours the equipment has been used and how many times it has been damaged. Along with the progress of Information Technology development, globalization is also becoming increasingly rapid. The specific objective of implementing the use of applications related to the theory of the concept of the course given to students. Analytical survey method with a Cross Sectional approach. The qualitative research design used is Phenomenological Research. The results of this study can improve the knowledge and skills of students, in improving knowledge in the field of Information Technology. Promoting the information technology study program at the Aisyiyah Pontianak Polytechnic.
Analisa Dampak Variasi Parameter Temperatur Injeksi dan Waktu Pendinginan Terhadap Cacat Produk Cap Tube Oval Pada Proses Injection Moulding Agus Kholistiyanto; Sulistyono Sulistyono
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.672

Abstract

Plastic products are materials that we commonly encounter in everyday life, the use of goods made from plastic raw materials is increasing. Starting from products with simple shapes such as food and beverage packaging, household appliances, kitchen utensils, cosmetic containers, to automotive component products. The plastic injection molding process requires a variety of precise setting parameters, some of which concern heating temperature, amount of material used, cooling system, mold holding time, injection speed, and other parameters. These parameters are things that affect product quality and defects. Another reason for product defects is that the process parameter settings have not been standardized and the trial and error method is still used, so the results are not optimal. One of the defects that occurs in the oval tube cap product is a loose top cap defect (cannot close). This study aims to determine the effect of injection temperature and cooling time on loose top cap defects in oval tube cap products. This study uses quantitative research by conducting repeated experiments to collect data, this method is carried out by varying the injection temperature parameters, namely 210 ° C, 220 ° C, and 230 ° C with a cooling time of 8 seconds, 10 seconds, and 12 seconds. The results obtained from this study are that if the injection temperature used is lower, the level of defects that occur will be higher, while if the selection of a higher cooling time, the level of defects that occur will be lower. From this research, the correct parameters can be obtained at an injection temperature of 220 °C and a cooling time of 12 seconds.
Implementasi Algoritma K-Means Clustering terhadap Tingkat Kepuasan Peserta LKP Multi Talenta Komputer Purwokerto Faozan Dwiki Ramadana; Wahyu Putra Pratama; Cannes Lingga Yogario; Abdul Khohar; Ito Setiawan
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.675

Abstract

This study aims to measure the level of participant satisfaction with learning services at LKP Multi Talenta Komputer Purwokerto. Participant satisfaction is an important indicator in assessing the effectiveness of the learning curriculum implemented. Factors such as facilities, services, and obstacles in learning become the main benchmark. Data from 54 respondents were processed using K-Means Clustering algorithm to identify the most superior and weak factors. The results of this study provide recommendations for future service improvements, in order to increase participant loyalty and learning effectiveness.
Application of Neural Networks in Prediction of Software Effort Zainab Rustum Mohsin
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.666

Abstract

Estimating the effort, time, and cost needed to build a software project is an important task in software engineering. Estimating software prior to development can help to reduce risk and improve the project success rate. Researchers have developed numerous traditional and machine learning models to estimate software effort, but it has always been difficult to estimate effort precisely. This paper presents a predictive model based on artificial neural networks namely ANNs to predict the software effort. The NASA dataset is applied to construct the proposed model. The system was trained using 50 data points, and the remaining 10 were used for testing. It was concluded that the ANN approach could estimate the software effort with high accuracy. A comparative study with other published equations was also performed, and it was found that ANN had less error and produced better results than other existing methods.
Analisis Ketahanan Equipment Ballmill terhadap Pengaruh Oprasional Boiler dalam Penerapan Reability Centered Metode (RCM) Menggunakan Soft System Methodology Muhammad Shodikin; Muhamad Alfarizi; Andi Laupe; Lucky Setiawan
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.682

Abstract

PT. Dian Swastatika Sentosa generates electricity through a private thermal power plant. This company produces steam and electricity for paper mills. The company hopes to meet its steam and electricity needs in 2023 with a boiler with a load capacity of 180 tons and a maximum capacity of 220 tons. However, from February to July 2023, that goal was not achieved. The most common problems faced by this company are the failure to conduct preventive inspections and timely machine maintenance, as well as the failure to carry out necessary repairs. Delays in machine repairs, which result in inconsistent machine downtime schedules to meet customer demand, leading to damage to boiler equipment, causing abnormal boiler operation and reduced steam production. This research aims to design equipment to withstand operational impacts using failure mode and effects analysis (FMEA) with the Soft Systems Methodology (SSM) and reliability-centered maintenance (RCM) techniques. The RCM method assists in identifying the processes that must be followed to guarantee that a machine or system performs as intended. RCM can also be used to design, choose, and create alternative maintenance methods that are focused on safety, operations, standards, and economics. For the entire problem in the investigation, a dynamic model is necessary. An analytical system is used in this model in order to recognize and duplicate the features of the overall system., as well as to provide repair solutions and address the burden of the problem. This research produces a presentation in the form of problem identification, causal loops, diagrams of machines that frequently experience failures, rich images of the causes and effects of the ball plate crusher liner damage, root cause definitions, and conceptual models for repair and maintenance. business productivity and debating process.
Analisis Komposit Epoxy HGM Carbon Fiber dan Epoxy HGM Sisal Woven sebagai Material Rompi Anti Peluru Bagus Kusuma; Elza Ully Tiara Tampubolon; Sovian Aritonang
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.693

Abstract

This research examines the potential of Epoxy-HGM-Carbon Fibre and Epoxy HGM Sical Woven Fibre composites as alternative materials for bulletproof vests. These two materials were chosen because they have similar ballistic protection capabilities to kevlar but with lighter weight and more economical cost. Using the finite element method, this study simulates the resistance of each composite to the penetration and impact energy of projectiles in accordance with the NIJ 0101.06 standard to protect users from ballistic threats. The simulation results show that the Epoxy-HGM-S Sisal Woven Fibre specimen at an optimum thickness of 30 mm as well as Epoxy-HGM-Carbon Fibre at a thickness of 18 to 30 mm are able to meet the penetration, Back Face Signature (BFS), and residual kinetic energy criteria that comply with the safe limits for users. This research makes an important contribution to the identification of alternative materials that not only improve user comfort and mobility, but also maintain ballistic protection effectiveness for military and security applications, especially for personnel who need protection against ballistic projectiles.
Fuzzy logic Deep Learning Control System for Detecting Arabic Tweets Spam based on Large Language Models Ghosoon K.munahy
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i1.713

Abstract

spam is posting unsolicited messages or advertising on social media, particularly Twitter. These messages are normally designed to sell specific products and services or links. In this research, we developed a fuzzy control system to detect Arabic spam tweets based on deep learning with a large language model. Initially, we performed text cleaning and further transformed text into vectors with the help of AraGpt and AraBert. Subsequently, we employed a multi-layer perceptron network model in feature extraction of essential features. Finally, we adopted the fuzzy logic control system for classifying spam tweets using features filtered from deep networks. Employing the proposed Fuzzy logic control system provided nearly a 100% comparative to only utilizing the deep neural networks, which yielded an almost 99% throughput for both large language models Aragpt and Arabert, with a 100% F1 score for the Aragpt model and 99% for Arabert model respectively.

Page 12 of 22 | Total Record : 213

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