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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 286 Documents
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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): Februari: Mars: 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): Februari: Mars: 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): Februari: Mars: 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): Februari: Mars: 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): Februari: Mars: 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.
Studi Komparasi Bahan Barium Ferrite Magnet Dan Pani/Fe₃O₄, Sebagai Radar Absorbing Material (RAM) Elza Ully Tiara Tampubolon; Bagus Kusuma; Sovian Aritonang
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Februari: Mars: 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.v3i1.717

Abstract

This research examines the effectiveness of Barium Ferrite and PANI/Fe₃O₄ composite as Radar Absorbing Material (RAM) to reduce radar detection. Barium Ferrite has high absorption at high frequencies as well as good thermal stability, making it suitable for applications under extreme and long-term conditions. In contrast, PANI/Fe₃O₄ composites exhibit high flexibility, the ability to absorb waves over a wider frequency range, as well as light weight, ideal for requirements with lightweight materials, such as aircraft. The analysis shows that the selection of RAM depends on the application requirements regarding frequency range and thermal stability. This study recommends the development of composite materials that combine the advantages of both materials as well as field tests to ensure optimal performance in stealth applications.
Perancangan Media Pembelajaran Membaca untuk Anak Prasekolah (TK) Berbasis Multimedia Amelia Permata Sari
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: 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.v2i5.727

Abstract

The author discusses this title on the background that preschool children in the process of learning to read have difficulty understanding reading teaching materials, one of which is about letter recognition because this is a new experience. Based on these problems, the author aims to design/design a reading learning media for preschoolers (kindergarten) based on Multimedia using Adobe Flash. The method used in the research is the research and development (R&D) method, which is a research method used to produce certain products and test the effectiveness of products with Blackbox. The research results of this reading learning media design for preschoolers (kindergarten) are: (1) This reading learning media uses the Luther-Sutopo multimedia development model which is carried out in six stages, namely the concept, design, material collecting, assembly, testing and distribution stages. (2) The final result of this reading learning media design is a compact disk (CD) that can be run using media on a computer and does not require another system to run it.
Rancangan Aplikasi Pemesanan Makanan dan Minuman di Mona Cafe Berbasis Desktop dalam Pemrograman Berbasis Objek dengan Menggunakan Netbeans Aulia Kartika Dewi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Februari: Mars: 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.v3i1.729

Abstract

Technological advancements encourage the culinary business sector to adopt digital systems to improve operational efficiency. One such innovation is a desktop-based food ordering application. Mona Cafe in Medan developed this system to make it easier for customers to place orders without waiting long or writing them down manually. This application allows customers to select menus digitally, making the ordering process more practical and efficient. Additionally, it helps waiters record and manage orders more systematically, reducing errors and speeding up service. This technology also aligns with the digitalization trend, especially in attracting millennials and Gen Z. Besides enhancing customer convenience, this application helps Mona Cafe stay competitive in the growing culinary business. Developed using the waterfall method, the system makes cafe operations more structured and professional. With this innovation, Mona Cafe is expected to improve its service quality and customer satisfaction
Application of Neurocomputer Interfaces for Rehabilitation of Patients With Disorders of Motor Functions of the Nervous System Duhaidahawi Murtadha Ahmed Luti; Dheyab Salman Ibrahim; Mohammed Shakir Mahmood; Omar Dawood Mohammed Al-Tai; Al-Karawi Raad Joudat Salman
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 1 (2025): Februari: Mars: 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.v3i1.732

Abstract

Brain-computer interface (BCI) technology allows a person to learn to control external actuators by means of arbitrary modification of their own EEG directly from the brain without involving nerves and muscles in this process, allowing to control external technical systems directly by brain signals. In the last two decades, BCI technology has been rapidly developing: its areas of application are expanding, new types of sensors for recording brain signals are being proposed, the quality of their recognition is improving, and methods for training subjects to control BCI are being perfected. At the beginning, the main goal of BCI development was to replace or restore motor functions of a person suffering from neuromuscular disorders. Currently, the tasks of BCI development have significantly expanded, increasingly capturing various spheres of life of a healthy person.
Developing Economically Viable Antenna Systems to Ensure Dependable Long-Range Communication in Rural Areas of Iraq Haroon Rashid Hammood Al Dallal
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 2 (2025): April: Mars: 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.v3i2.746

Abstract

The objective of this project is to develop cost-effective antenna systems. The study utilized AutoCAD 2006 for data analysis and visualization. This article provides a detailed examination of various antenna systems, including cable/wire, log-periodic, array, helical, and aperture antennas. The research also explores several parameters related to antenna systems, such as effective length, antenna gain and directivity, active aperture, bandwidth, polarization, input impedance, power gain, radiation efficiency, radiation pattern, and radiation intensity. The main goal is to identify the challenges in designing cost-effective antenna systems for reliable communication. These challenges include design issues, contract management difficulties, fluctuating material prices, inaccurate estimations, limited wireless communication technology, and financial constraints. The study examines a wavelength range from 16.7 to 120, corresponding to distances from 10,000 km to 120,000 km. The findings show that at a frequency of 600 MHz, a wavelength of 16.7 units covered a distance of 10,000 km. Similarly, at 750 MHz, a wavelength of 53.3 units covered 40,000 km, and at 850 MHz, a wavelength of 94.1 units spanned 80 km. At 1000 MHz, a wavelength of 120 units covered 120,000 km. This study offers valuable insights into the design of cost-effective antenna systems and provides an understanding of the factors that influence their performance in practical communication scenarios.  

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