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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 201 Documents
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Evaluasi Instalasi Kelistrikan Pada Gedung Vessel Traffic Service Palembang Merry Dhani Anitasari; M. Saleh Al Amin; Irine Kartika F; Yudi Irwansi
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 2 (2024): 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.v2i2.87

Abstract

Electrical installation is one of the important elements in buildings. Safe electrical installations that comply with applicable safety standards can prevent electrical accidents. This research aims to evaluate the electrical installation in the Palembang Vessel Traffic Service (VTS) Building. Evaluation is carried out by measuring and calculating several parameters, namely: voltage and current values, current carrying capacity (KHA), circuit breaker (CB) size, short circuit impedance, grounding value. Quantitative research methods were used because this research aims to evaluate the electrical installation at the Palembang Vessel Traffic Service (VTS) Building. Evaluation is carried out by comparing the results of measurements and calculations with applicable standards. Based on the research results, it can be concluded that the electrical installations of the Palembang VTS Building generally meet safety requirements and comply with applicable standards. However, there are several recommendations that can be made to increase the safety of electrical installations, namely: The results of checking that the electrical current on the 7th and 8th floors is unbalanced must immediately identify the cause and repair the load group points so that the electrical load is evenly distributed so that power losses do not occur and result in damage to the existing electrical installation.
Teknologi WI-FI Menggunakan Topologi Star Syuja Rifka Khairyansyah; Della Saskia Amalia; Subhan Aditya; Ardian Sah; Didik Aribowo
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 2 (2024): 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.v2i2.89

Abstract

This research uses Cisco Packet Tracer as a simulation tool for implementing WI-FI technology in a star topology. WI-FI technology is a wireless communication technology that allows electronic devices to connect wirelessly to a local area network (LAN). Star topology is one of the most commonly used network topologies, especially in wide local area networks (WLAN). This research uses Cisco Packet Tracer to model and simulate a star topology in WI-FI. This framework utilizes powerful simulation tools to facilitate network management and monitoring. Star topology can improve network performance because each device has a direct communication path to the access point. This research provides information about the basic concepts of WI-FI technology, introduces star topology and explains its implementation using Cisco Packet Tracer.
Penentuan Bonus Karyawan Menggunakan Fuzzy Mamdani: (Studi Kasus PT. ABC) Bella Khuri Aini Alfari; Tri Hastono; Wirinda Nur Aziza
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 2 (2024): 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.v2i2.90

Abstract

Determining the provision of bonuses or rewards to employees plays a crucial role in maintaining the quality and motivation of employees. One effort that can be made to establish a bonus policy is by implementing the fuzzy Mamdani method as a systematic approach in determining employee bonuses, particularly at PT. ABC. By utilizing the fuzzy Mamdani method to process subjectivity in evaluations, it generates membership levels that allow for a more contextual employee assessment. Through the analysis of data involving various performance variables and bonus criteria, this research aims to present a fuzzy Mamdani system model that can support accurate and adaptive decision-making in determining employee bonuses. The results of this research and the evaluation of this model are expected to contribute significantly to the development of more effective bonus policies in the workplace of PT.
Analisis Perbandingan Penggunaan Pegas CVT Racing 1000 RPM 1500 RPM 2000 RPM terhadap Performa Sepeda Motor Honda Beat 110 CC Muhammad Shobirin; Hermanu Kusbandono
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 2 (2024): 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.v2i2.91

Abstract

In the era of automatic transmission or automatic transmission motorbikes, many people enjoy doing it in various circles compared to manual transmission motorbikes, these automatic transmission motorbikes are indeed fuel efficient and agile, but automatic motorbike users are not satisfied with their less optimal power, seeing the problems in The use of springs is a factor that influences the performance of automatic transmissions. The purpose of this study is to analyze one of the components of the Continuously Variable Transmission, namely the CVT spring. then compare the power and torque values to find out the comparison of the use of the three springs on the vehicle and retrieve data through the dynotest process. Tests using this dynotest tool produce the values of power, torque, and engine speed produced by the vehicle, this test uses three springs with different constant values such as 1000 Rpm, 1500 Rpm, 2000 Rpm to retrieve table and graphic data values and then compare the data to be converted into thrust and vehicle speed values. To obtain the maximum speed of the vehicle. From the experimental results, each spring produces a different transmission ratio. This results in the value of power and torque, which is produced by each different spring.
Analisis Pengendalian Kualitas Produk Tempe dengan Menggunakan Metode Statistical Quality Control (SQC): Studi Kasus: UMKM HARTONO Tempe Kabupaten Kebumen R. Akhmad Zakaria Nur Alim; Rizki Afif Pratama; Alfiansyah Alfiansyah; Widya Setiafindari
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni : 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.v2i3.96

Abstract

This research was based on a flaw found in observations made during a period of one month with the location object of MSMEs Hartono tempe. The discovery of this defect has an impact on the quality of tempeh so that it can reduce people's purchasing power in tempeh. The purpose of this study is to find out how good the quality of the products produced, find out how big the level of defects in tempeh production is, and find out the causes of product defects using the SQC method. The use of the SQC method is used to control the quality of the initial process of the finished product, as well as certain quality standards that have been agreed upon by the company. Data was collected through interviews with company owners and observations for one month on the tempeh production process that occurred. Data shows that defects in tempeh production include the inclusion of foreign objects, uneven shapes, and damaged packaging. After observation, it turned out that damaged packaging was the most common cause of defects during observations. So, we will make a suggestion, namely making a plastic adhesive device (Sealer). In addition to reducing defects due to damaged packaging, the manufacture of sealers also speeds up the plastic gluing process when producing.
Ekstrasi Fitur Dan Kontur Pada Kain Tenun Sabu Menggunakan Metode GLCM (Gray Level Co-occurrence Matrix) Sanrina Natalia Evelin Tolan; Abraham Do Hina; Yampi R. Kaesmetan
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni : 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.v2i3.99

Abstract

Sabu woven fabric is one of the cultural heritages of Sabu Island. In addition to being a cultural heritage, Sabu woven fabric is one of the handicrafts that still exist today which is preserved by Sabu women. Based on its manufacture, the classification process of Sabu woven fabric is based on color or motif identification. However, the classification process is not an easy process, because the classification process requires time and experts in the field of Sabu woven fabric. In addition to the classification process, the wider community also does not get much information about Sabu woven fabric clearly, because it is necessary to introduce the type of Sabu woven fabric, so that people can know or recognize the type of Sabu ikat woven fabric based on its type. Digital image processing techniques are utilized to build a system that can overcome the problems faced. Furthermore, image feature extraction will be carried out using gray level co-occurrence matrix (GLCM) with 4 features namely contrast, correlation, energy, and homogeneity with angles of 0°, 45°, 90°, and 135°. Each GLCM feature shows the same value even though the original image is rotated. After image feature extraction, the extracted data will be classified using the TensorFlow library. From these results it can be concluded that the program succeeded in selecting the type of Sabu ikat woven fabric class.
Pendekatan Metode Monte Carlo untuk Simulasi Pergerakan Harga Saham Ahmad Taufiq Ramadhan; Faishal Hilmy F. G.
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni : 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.v2i3.123

Abstract

This research applies the Monte Carlo simulation method to predict the movement of Apple Inc.'s stock price over a long period of time. Using historical data of Apple's stock price from 12 December 1980 to 24 March 2022, this study aims to generate a probability distribution of the future stock price. The method involves several steps, including data collection, log return calculation, parameter estimation, and simulation of the stock price path through random iterations based on the log return distribution. The simulation results show that the closing price of Apple stock can be predicted by following the historical trend, although there are differences with the real data due to the stochastic nature of the Monte Carlo technique. This research also applies a variance reduction method to improve simulation efficiency. The findings provide a valuable perspective for investors and financial analysts in identifying investment risks and opportunities through an in-depth understanding of the dynamics of stock price movements using Monte Carlo simulation. Suggestions for future research include the use of VaR methods with historical variance and covariance approaches, as well as considering longer data periods and more stock indices for more comprehensive results.
Desain dan Implementasi Robot Mobile 4WD dan Aplikasi Smartphone sebagai Media Pembelajaran Robotik Dwi Setiawan; Mufadol
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni : 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.v2i3.124

Abstract

Technological advancements have significantly contributed to the robotics industry, yet mobility remains a challenge that can be addressed with mobile robots. In education, it is crucial to understand the basic principles of robotics and the use of related software and hardware. This research focuses on using a 4WD mobile robot as a learning tool. This robot offers flexibility and is easily controlled via a smartphone with built-in sensors. A smartphone application was developed using App Inventor, an open-source web-based development platform. The HC-05 Bluetooth module was used to connect the smartphone application with the 4WD robot. The goal of this research is to design innovative learning media to aid in understanding the concepts and control of the 4WD robot, as well as to increase students' interest and motivation in learning robotic systems. The results of the research demonstrated success in creating a 4WD robot prototype controllable via an Android smartphone. The distance between the Arduino and smartphone did not significantly affect the robot's movement, although communication was disrupted if the distance exceeded 10 meters. Directional control was achieved through the rotation of the right and left wheels, and sufficient power supply was needed to drive all wheels. Programming with C/C++ and Bluetooth communication functioned as planned. This innovative learning media is expected to help students understand and operate the 4WD mobile robot more effectively
Prediksi Jumlah Mahasiswa Baru FMIPA UNIMED Dengan Menggunakan Teknik Simulasi Monte Carlo Khairul Abdi; M. Revano Ananda Lubis
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni : 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.v2i3.127

Abstract

Universities' development hinges significantly on student admissions, necessitating accurate predictions for effective planning. This study applies the Monte Carlo simulation method to forecast new student arrivals at the Faculty of Mathematics and Natural Sciences (FMIPA) at Universitas Negeri Medan (UNIMED). Utilizing data from 2021 to 2023 sourced from the PDDikti website, the research employs PHP programming for implementation. The Monte Carlo algorithm's numerical prowess ensures precise statistical data simulation, comprising data collection, probabilistic distribution computations, cumulative distribution determinations, random number generation, and simulation analyses. Simulation results for 2022, 2023, and 2024 exhibit consistent trends, projecting an average of 860 to 930 new students per program. This methodology surpasses manual estimations, offering robust insights for university resource allocation and strategic management. Despite its effectiveness, study limitations, such as model assumptions, warrant continuous validation with actual data. This research advances predictive modeling in higher education, providing a foundation for future enhancements and comprehensive prediction integrations.
Implementasi Algoritma Regresi Linier untuk Mengukur Tingkat Pengeluaran Co2 Pada Kendaraan Bermotor Kevin Asgaryansyah; Paniran Paniran
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni : 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.v2i3.132

Abstract

This study employs a linear regression algorithm to measure CO2 emissions from motor vehicles based on the type of fuel used—gasoline, premium, diesel, and ethanol—as well as the distance traveled per kilometer. With growing concerns about the environmental impact of vehicle emissions, this research aims to develop a predictive model to estimate CO2 emissions based on these variables. Despite the limited data used, the results indicate that the linear regression model has high accuracy in predicting CO2 emissions. This model can serve as an effective tool to mitigate the environmental impact of motor vehicles and assist policymakers in designing better emission mitigation strategies

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