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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 19 Documents
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Search results for , issue "Vol. 2 No. 3 (2024): Juni : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer" : 19 Documents clear
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
Perancangan Backend Api Berbasis Rest-Api pada Aplikasi Rekomendasi Resep Makanan Agil Maulana Nanda Riady; Paniran Paniran; I Made Budi Suksmadana
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.v2i3.137

Abstract

This study explores the design intricacies of a scalable RESTful Backend API tailored for a sophisticated food recipe recommendation application, with a primary focus on leveraging the Google Cloud Platform (GCP) for deployment. Employing a service-oriented paradigm, the API segregates Backend functionalities, fostering optimal scalability. The REST architecture ensures seamless integration, while GCP guarantees reliability and scalability. Utilizing Node.js and Express.js, the API efficiently manages culinary recipes and user preferences. Rigorous performance evaluations affirm its rapid responsiveness. This paper offers pragmatic guidelines for developers, emphasizing the significance of GCP for seamless and scalable deployments.
Perancangan Back-end Api pada Aplikasi Mobile Fruityfit Menggunakan Framework Express JS Danar Hadi Bachtiar; Paniran Paniran; I Made Budi Suksmadana
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.v2i3.138

Abstract

Increasing fruit consumption is one of the challenges of public health. To address this, the authors developed a mobile application that allows users to scan and find information related to fruit. FruityFit is an application that can help users to get nutritional and processed information related to certain fruits that can increase users' interest in fruit consumption. This research focuses on constructing the back-end component of the FruityFit application. The design adheres to the REST architectural, leveraging the well-established ExpressJS framework for developmen. To realize the system, we implemented it using a suite of Google Cloud Platform (GCP) services. These services include Cloud Run, App Engine, Cloud Storage, and Cloud SQL, providing a scalable foundation for the back-end infrastructure.. The final result of this research is a REST API that has been running well and documented to help the front-end consume the API.
Analisis Saluran Distribusi Rantai Pasokan Padi di Desa Mruwak Dagangan Kabupaten Madiun Wilis Herlin Aryani; Dilla Septia Islami; Aloysius Tommy Hendrawan
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.v2i3.144

Abstract

Mruwak is one of the villages in Madiun Regency where the majority of residents work as farmers. The food commodity most widely grown in the village is rice, while the rest are corn, sweet potatoes and peanuts. With the existence of a supply chain system, it is hoped that it can help farmers determine rice marketing routes effectively and efficiently. The aim of this research is to determine the supply chain system for rice produced by farmers in Mruwak Village. This research is qualitative in nature and the sample was selected purposively and using snowball sampling. The research results show the rice process, starting from land processing, rice planting, to maintenance and harvest. The farmers in the village have experience in growing rice, on average they have been growing rice for more than 10 years so they understand how to grow rice properly, including selecting superior seeds. The supply chain distribution channel used is a simple distribution channel model (1 to 3 level distribution channel model). Determination of selling prices based on agreements between farmers and buyers through demand and supply mechanisms (market mechanisms).
Analisis Konten Tiktok @Iben_Ma sebagai Strategi Pemasaran Sambal Bakar Yunita Tri Rachmayanti; Sumartono Sumartono
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.v2i3.145

Abstract

This research is a synthesis of various sources of information, including research journals, articles, books and TikTok content from the @iben_ma account. The main focus of the research is on the concept of Marketing Strategy, utilization of the TikTok platform and Content Marketing strategy. By combining data from various sources, this research aims to provide a comprehensive understanding of the use of TikTok as an effective marketing tool, especially in the context of marketing products such as Indonesian Sambal Bakar which is promoted by the owner directly @iben_ma. The research results show that the promotional strategy used by @iben_ma on TikTok for Sambal Bakar Indonesia was successful in increasing brand awareness, building positive consumer perceptions, and strengthening relationships with the audience.

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