Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
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<![CDATA[Rancang Bangun Boiler Panci Presto untuk Setrika Uap dengan Penambahan Komponen Indikator Level Air ]]>
<![CDATA[Muhamad Zainudin]]>;
<![CDATA[Ziyadatul Husna]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.449
<![CDATA[This research was motivated by several laundries that use pressure cooker steam iron boilers for the ironing process. However, there are still users who find it difficult to estimate water level. If the water in the pressure cooker dries up or runs out whitout knowing it, then this can be dangerous and have a bad impact both on the user and in terms of the quality of the pot. So the aim of this research is to modify the pressure cooker steam iron boiler by adding a water level indicator whose function is to determine the water capacity during the ironing process, so that it is hoped that it can minimize work accidents. The method use is descriptive quantitative. From the design process, the tool was then tested to determine the starting time for using the iron using pressure variations of 15 psi, 20 psi, and 22 psi. From the research results, it was found that the design process was carried out through several stages, including the measurement process, drilling process, and assembly process. The test results started that the optimal pressure was 20 psi, because at this pressure the steam produced was optimal with a heating time of a 58 minutes.]]>
<![CDATA[Pemanfaatan Jaringan Saraf Tiruan untuk Prediksi Curah Hujan di Sumatera Utara ]]>
<![CDATA[Arizka Anggraini]]>;
<![CDATA[Lailan Sofinah Harahap]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.457
<![CDATA[The use of Artificial Neural Networks (JST) for weather prediction is one of the innovative approaches in climate data analysis. This study aims to apply JST in predicting weather, especially rainfall and the number of rainy days in the North Sumatra region. Historical weather data obtained from BMKG Region I for 2022-2023 is used as input to train the JST model. With a training process that involves processing rainfall data, this model is expected to provide accurate predictions regarding weather patterns. The results of this research can help in agricultural sector planning, disaster risk mitigation, and natural resource management. JST has proven to be effective in identifying dynamic and complex weather patterns, so it has the potential to be used in long-term weather prediction.]]>
<![CDATA[Perancangan Model Jaringan Syaraf Tiruan untuk Memprediksi Penyakit Demam Berdarah Menggunakan Algoritma Hebb Rule ]]>
<![CDATA[Adinda Tarisyah Hsb]]>;
<![CDATA[Mazayah Tsaqofah]]>;
<![CDATA[Lailan Sofinah Harahap]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.483
<![CDATA[Dangeu dengue fever or what we often call dengue fever is a disease transmitted by the Aedes aegypti mosquito and caused by the dengue virus. This disease can potentially cause serious complications if it does not receive proper treatment. In this research, the author uses the application of artificial neural networks with the Hebb rule approach to predict the risk level of dengue fever. Predictions are made based on factors such as weather conditions, population density and historical case data that influence this disease. The Hebb rule is used in this research because of its ability to strengthen connections between neurons based on the input patterns they receive, so it is hoped that it can produce more accurate predictions. Test results show that this method has a fairly high level of accuracy in predicting the pattern of dengue fever cases in an area. This research indicates that the application of artificial neural networks with the Hebb rule can be an effective tool for related parties in taking preventive measures to minimize the number of dengue cases in the future.]]>
<![CDATA[Penyelesaian Permasalahan Pengadaan Stok di Toko Grosir Naek Menggunakan Logika Fuzzy dengan Metode Tsukamoto ]]>
<![CDATA[Juwita Sari]]>;
<![CDATA[Intan Widya Saputri Nst]]>;
<![CDATA[Lailan Sofinah Harahap]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.484
<![CDATA[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.]]>
<![CDATA[Deteksi Wajah dalam Foto Menggunakan Teknologi Visi Komputer ]]>
<![CDATA[Supiyandi Supiyandi]]>;
<![CDATA[Tegar Ardiansyah]]>;
<![CDATA[Sri Putri Balqis]]>;
<![CDATA[Jundi Haqqoni]]>;
<![CDATA[Salsa Nabila Iskandar]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.490
<![CDATA[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.]]>
<![CDATA[Rancang Bangun Sistem Kontrol Irigasi Otomatis Berbasis IoT untuk Tanaman Stevia ]]>
<![CDATA[Budy Gunawan]]>;
<![CDATA[Arbi Alfian Mas’ud]]>;
<![CDATA[Khasanul Khakim]]>;
<![CDATA[Muhammad Febriyanda Wiryawan]]>;
<![CDATA[Reza Rachmat Setyabudi]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.492
<![CDATA[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.]]>
<![CDATA[Pemanfaatan Medan Elektromagnetik dalam Teknologi Pengobatan Modern ]]>
<![CDATA[Novaldi Ramdani Reza]]>;
<![CDATA[Rovino Alghafari]]>;
<![CDATA[Errisa Zulqa Deswana]]>;
<![CDATA[Muhammad Rifqi]]>;
<![CDATA[Diyajeng Luluk Karlina]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.496
<![CDATA[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.]]>
<![CDATA[Evaluasi Kinerja Model RNN & LSTM untuk Prediksi Magnitude Gempa di Indonesia ]]>
<![CDATA[Fazira, Rara]]>;
<![CDATA[Yudistira, Dimas]]>;
<![CDATA[Sofinah Harahap, Lailan]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.498
<![CDATA[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.]]>
<![CDATA[Rancang Bangun Alat Peraga Sistem Otomasi Pengisian Tangki Berbasis PLC ]]>
<![CDATA[Cahyanto, Septian Eko]]>;
<![CDATA[Priyanto, Kaleb]]>;
<![CDATA[Kurniadi, Ninda]]>;
<![CDATA[Baihaqi, Setyo Bhahak Fendi]]>;
<![CDATA[Gojandra, Farda Pega Libra]]>;
<![CDATA[Kristiawan, Ruben Bayu]]>;
<![CDATA[Enita, Sarai]]>;
<![CDATA[Putra, Fajar Waskhita]]>;
<![CDATA[Haikal Haikal]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.501
<![CDATA[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.]]>
<![CDATA[Tinjauan Komparatif Potensi dan Efikasi Medan Elektromagnetik Extremely Low Frequency (ELF) dalam Mendukung Kesehatan dan Regenerasi Tulang ]]>
<![CDATA[Sabda Dwi Arvinda]]>;
<![CDATA[Rayhan Al-Hayubi]]>;
<![CDATA[Nazwa Amelia Purnama]]>;
<![CDATA[Ardian Sah]]>;
<![CDATA[Diyajeng Luluk Karlina]]>
<![CDATA[ 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 : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
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DOI: 10.61132/mars.v2i6.511
<![CDATA[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.]]>
