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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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Penyelesaian Permasalahan Pengadaan Stok di Toko Grosir Naek Menggunakan Logika Fuzzy dengan Metode Tsukamoto Juwita Sari; Intan Widya Saputri Nst; Lailan Sofinah Harahap
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.484

Abstract

Stock management is an important aspect in the operations of a grocery store. By knowing when to add stock, shop owners can optimize the availability of goods without excess stock. In this research, the fuzzy logic method is applied to determine stock procurement decisions based on sales data and remaining stock. The results of the research show that fuzzy logic can be used to assist in making stock procurement decisions with a fairly high level of accuracy.
Deteksi Wajah dalam Foto Menggunakan Teknologi Visi Komputer Supiyandi Supiyandi; Tegar Ardiansyah; Sri Putri Balqis; Jundi Haqqoni; Salsa Nabila Iskandar
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.490

Abstract

This study discusses the implementation of computer vision technology for face detection in photos using two sample images with variations in lighting and face pose. The developed system combines the Viola-Jones algorithm and Convolutional Neural Networks (CNN) to enhance resilience against lighting and face orientation variations. Experimental results show high accuracy even with only two sample images. This research also develops preprocessing techniques to handle extreme lighting conditions and demonstrates efficient implementation using Python and OpenCV.
Rancang Bangun Sistem Kontrol Irigasi Otomatis Berbasis IoT untuk Tanaman Stevia Budy Gunawan; Arbi Alfian Mas’ud; Khasanul Khakim; Muhammad Febriyanda Wiryawan; Reza Rachmat Setyabudi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.492

Abstract

This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.
Pemanfaatan Medan Elektromagnetik dalam Teknologi Pengobatan Modern Novaldi Ramdani Reza; Rovino Alghafari; Errisa Zulqa Deswana; Muhammad Rifqi; Diyajeng Luluk Karlina
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.496

Abstract

The utilization of electromagnetic fields (EMF) in modern medical technology has become a significant focus of research. This study aims to explore the therapeutic effects of EMF, especially at low frequencies (ELF) and Pulsed Electromagnetic Fields (PEMF), in enhancing the healing of various medical conditions. The method used is a literature study by analyzing various sources from Google Scholar, Science Direct, and PubMed. The results showed that EMF therapy is effective in relieving pain, accelerating tissue healing, and improving the quality of life of patients with musculoskeletal disorders and fractures. Despite the many benefits, it is important to consider the potential health risks of long-term exposure to EMF. This study recommends the development of strict regulations and training for medical personnel to ensure the safe and effective use of EMF.
Evaluasi Kinerja Model RNN & LSTM untuk Prediksi Magnitude Gempa di Indonesia Fazira, Rara; Yudistira, Dimas; Sofinah Harahap, Lailan
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.498

Abstract

Indonesia di kawasan Cincin Api Pasifik, yang dikenal memiliki aktivitas seismik yang sangat tinggi dengan ribuan gempa bumi yang terjadi setiap tahunnya. Penelitian ini bertujuan untuk menganalisis kinerja Recurrent Neural Network (RNN) dan Long Short-Term Memory (LSTM) dalam memprediksi magnitudo gempa bumi menggunakan data historis yang diambil dari Kaggle. Data tersebut mencakup rentang waktu dari November 2008 hingga September 2022, yang telah melalui proses normalisasi serta perpecahan menjadi data pelatihan dan pengujian. Model evaluasi kinerja dilakukan dengan menggunakan metrik Mean Absolute Error (MAE) dan Root Mean Square Error (RMSE). Pada uji coba pertama, LSTM menunjukkan performa terbaik dengan nilai MAE 0.6226 dan RMSE 0.7731 pada data pengujian, lebih baik dibandingkan RNN yang mencatatkan MAE 0.6271 dan RMSE 0.7831. Sebaliknya, pada uji coba kedua, RNN unggul dengan nilai MAE 0.5583 dan RMSE 0.7008, sementara LSTM memiliki MAE 0.5822 dan RMSE 0.7132. Hasil ini menunjukkan bahwa LSTM lebih cocok untuk menangani pola data temporal yang kompleks, sedangkan RNN lebih andal pada dataset dengan pola yang lebih sederhana. Penelitian ini diharapkan dapat menjadi pijakan dalam pengembangan sistem prediktif untuk mitigasi risiko bencana gempa bumi di Indonesia.
Rancang Bangun Alat Peraga Sistem Otomasi Pengisian Tangki Berbasis PLC Cahyanto, Septian Eko; Priyanto, Kaleb; Kurniadi, Ninda; Baihaqi, Setyo Bhahak Fendi; Gojandra, Farda Pega Libra; Kristiawan, Ruben Bayu; Enita, Sarai; Putra, Fajar Waskhita; Haikal Haikal
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.501

Abstract

Guna mendukung proses pembelajaran sistem otomasi di sebuah lembaga pendidikan dibutuhkan sebuah alat peraga yang mudah dipelajari dan dimengerti oleh mahasiswa. Tujuan pembuatan alat peraga ini agar peserta didik mengetahui dan dapat mengimplementasikan proses kerja sistem otomasi di industri menggunakan media yang disimulasikan dalam bentuk alat peraga. Alat peraga yang digunakan adalah integrasi PLC-HMI pada aplikasi pengisian tangki air. Alat peraga dirangkai dengan menggunakan PLC dan HMI merk Omron dengan software CX-Programmer dan NB-Designer. Rangkaian wiring alat peraga PLC-HMI disusun secara teratur dan sistematis agar mudah dibongkar pasang dan disesuaikan dengan diagram wiring oleh peserta didik. Program ladder pada software CX-Programmer didesain dengan menerapkan logika dasar, instruksi dan beberapa fungsi program yang sesuai dengan level kompetensi dasar pembelajaran PLC. Desain tampilan dan fungsi HMI dirancang menggunakan software NB-Designer yang diintegrasikan dengan program ladder, serta disesuaikan penggunaan alamat I/O nya. Wiring alat peraga berfungsi secara normal sehingga seluruh perangkat dapat terkoneksi dengan baik. Program ladder yang telah dirancang dapat berfungsi optimal dan tidak didapati error pada hasil kompilasi. Desain HMI dapat berfungsi secara efektif untuk monitoring proses maupun saat berfungsi sebagai programmable terminal. Secara keseluruhan hasil rancang bangun alat peraga simulasi sistem pengisian tangki air telah diuji coba dan berfungsi sesuai rancangan yang telah ditetapkan.
Tinjauan Komparatif Potensi dan Efikasi Medan Elektromagnetik Extremely Low Frequency (ELF) dalam Mendukung Kesehatan dan Regenerasi Tulang Sabda Dwi Arvinda; Rayhan Al-Hayubi; Nazwa Amelia Purnama; Ardian Sah; Diyajeng Luluk Karlina
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.511

Abstract

Bone health is a vital element in the quality of life aspect, especially with the increasing risk of osteoporosis and fractures with age. Extremely Low Frequency (ELF) electromagnetic field therapy offers the potential for bone regeneration through collagen synthesis, osteoblast stimulation, and molecular signal modulation. This study evaluates the potential and efficacy of ELF for bone health based on scientific literature. The results of the analysis show that ELF is effective in accelerating healing, increasing bone density, and is safe at certain intensities. However, optimization of parameters such as duration and intensity of exposure is still needed. This study supports the development of standard protocols for safe and effective ELF applications in bone therapy.
Gelombang Elektromagnetik ELF : Inovasi Baru dalam Terapi Kesehatan Tulang Rachmatul Hidayathika; Muhammad Nabil Makarim; Muhammad Irfan Andrianto; Ade Sudrajat; Diyajeng Luluk Karlina
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.515

Abstract

Extremely Low Frequency (ELF) electromagnetic waves are increasingly recognized for their potential in treating bone health as a safe and effective non-invasive method. Studies have shown that ELF can stimulate osteoblast activity, increase bone density, and accelerate fracture healing. This article reviews the mechanism of ELF, its application in the treatment of osteoporosis, and its safety in clinical practice. With standardized parameters, ELF can be an innovative solution for chronic bone disorders or abnormalities, as well as providing great benefits in the medical world.
Rancang Bangun Sistem Sentral Kontrol Kandang Ayam Close House Berbasis Arduino Dan Haiwell Cloud Scada Rofi Nur Andriansyah; Misbah Misbah; Rini Puji Astutik
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.516

Abstract

Closed house chicken coop is an innovation from the development of technology in the livestock sector. In closed house chicken coops, many arrangements and adjustments to environmental conditions in the chicken coop are carried out which are expected to increase broiler chicken production. In this study, researchers created a centralized control system on 2 closed house chicken coops to make it easier for broiler chicken entrepreneurs to monitor and control the closed house chicken coops owned by the entrepreneur through one place, without having to go directly to the closed house chicken coop to monitor and control the chicken coop which of course will be quite draining time and energy. This study uses Haiwell Cloud Scada as an interface device connected to the Arduino Nano microcontroller, DHT-22 sensor as a humidity and temperature detector sensor, MQ-135 sensor as an Ammonia gas detector, water level sensor as a reader of the remaining chicken drinking water level, IR sensor as a reader of the remaining chicken food level, DC fan which has 2 functions, namely inlet and exhaust in the chicken coop. Servo motor as a silo damper controller to fill chicken food from the silo to the chicken feeder located in the chicken coop.
Pengembangan Sistem Pengendalian Lampu Otomatis Berbasis Deteksi Gerak dan Optimalisasi Konsumsi Energi Menggunakan Pendekatan IoT Leli Donaningrum; Samuel Parlindungan Siringo-ringo; Desti Karmini Nurdatillah; Shinvi Nur Najmil Jannah; Cep Luthfi Rizky Fauzi; Muhamad Arbi Nur Wulan Tumanggal
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: 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.v2i6.524

Abstract

This research aims to design and develop a motion detection-based automatic light control system with a light intensity setting feature using IoT technology. The system utilizes a combination of PIR sensor, MOSFET module, and Arduino Uno microcontroller to control lighting based on the presence and position of the user. With an adaptive control algorithm, the lamp can dynamically adjust the lighting intensity to several levels as needed. Test results show that the system successfully reduces energy consumption optimally without reducing user comfort. The implementation of this technology has great potential in supporting energy efficiency in public areas, such as parks, office hallways, and sidewalks.

Page 8 of 29 | Total Record : 286

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