Elektron Jurnal Ilmiah (EJI - Department of Electrical Engineering, Politeknik Negeri Padang)
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158 research outputs found
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Implementasi Fuzzy Logic Untuk Monitoring Kekuatan Genggaman Tangan Pasien Pasca Stroke
No full textStroke adalah penyakit serebrovaskular yang mengakibatkan kematian jaringan otak karena berkurangnya aliran darah dan oksigen. Kondisi ini dapat menyebabkan hemiparesis, kelemahan pada satu sisi tubuh, yang mempengaruhi mobilitas dan aktivitas sehari-hari pasien. Menurut data dari Riskesdas 2018, prevalensi stroke di Indonesia meningkat signifikan. Alat yang mampu mengukur kekuatan genggaman tangan secara efektif sangat diperlukan dalam pemantauan rehabilitasi pasien pasca stroke. Penelitian ini menggunakan sensor Load cell yang dikalibrasi dengan timbangan digital dan Dynamometer untuk memastikan akurasi pengukuran. Perbandingan ini bertujuan untuk mengevaluasi performa load cell dalam mengukur kekuatan genggaman tangan pasien pasca stroke. Setelah itu, data dianalisis menggunakan metode Fuzzy Mamdani dengan software Matlab dan Arduino. Hasil pengujian menunjukkan bahwa metode Fuzzy Mamdani berhasil dalam mengklasifikasikan risiko hemiparesis dengan akurasi dengan optimal.Hasil pengujian didapatkan bahwa error hasil kalibrasi dengan timbangan digital adalah 3%. Hasil kalibrasi dengan dynamometer mendapatkan error 2,08%.Dan Hasil perbandingan pengujian fuzzy mamdani dengan software Matlab dan Arduino mendapatkan error 0,041% dan akurasi 99,959%
Penentuan Sudut Orientasi Optimum untuk Pembangkit Listrik Tenaga Surya di Universitas Tanjungpura Pontianak
No full textPengembangan energi surya di Indonesia terus mengalami peningkatan seiring dengan upaya pemerintah dalam mencapai target nol emisi karbon pada tahun 2060. Salah satu langkah strategis dalam mendukung pencapaian tersebut adalah dengan meningkatkan efisiensi Pembangkit Listrik Tenaga Surya (PLTS). Penelitian ini berfokus pada optimalisasi produksi energi listrik di PLTS Universitas Tanjungpura melalui penentuan sudut orientasi panel surya yang paling efektif. Simulasi dilakukan menggunakan perangkat lunak PVsyst dengan variasi sudut kemiringan antara 4° hingga 15° serta delapan arah azimuth, yaitu Utara (0°), Timur Laut (-45°), Timur (-90°), Tenggara (-135°), Selatan (180°), Barat Daya (135°), Barat (90°), dan Barat Laut (45°). Hasil simulasi menunjukkan bahwa konfigurasi optimal terdapat pada sudut kemiringan 5° dengan azimuth -45° (menghadap Timur Laut), yang mampu menghasilkan produksi energi listrik tahunan sebesar 2365 MWh. Angka ini lebih tinggi dibandingkan konfigurasi awal pada sudut kemiringan 13° dan azimuth 135° (menghadap Barat Daya), yang hanya mampu menghasilkan 2308 MWh per tahun. Peningkatan produksi energi listrik sebesar 2,5% ini membuktikan bahwa optimasi sudut orientasi panel surya berperan penting dalam memaksimalkan kinerja sistem PLTS. Hasil penelitian ini tidak hanya memberikan kontribusi pada pengembangan energi terbarukan, tetapi juga mendukung strategi nasional dalam upaya penurunan emisi karbon dan transisi menuju energi bersih di Indonesia
Sistem Smart Garden Tanaman Bayam Menggunakan Metode Fuzzy Logic
No full textTreatment of Spinach, even though it has been given fertilizer, also keep on eye to monitor lots of water when watering. If the soil is too wet it will interfere with the absorption of nutrients needed for spinach growth. The use of technology makes it easy to monitor and control the condition of spinach plants in real time. Good soil moisture for spinach plants is in the range of 45% equivalent to a voltage value of 2.78 Volts to 60% which is equivalent to a voltage value of 2.03V. Meanwhile, soil that is suitable for growing spinach is soil that has a pH between 6-7. Mamdani fuzzy logic method is applied to a microcontroller as a reference in making decisions to regulate the speed of the water pump. There are five levels of pump speed for automatic watering of spinach from very fast to very slow to maintain stable soil moisture. Based on the test results, it is proven that the system can work correctly using Mamdani fuzzy with an error of 0.023%
Sistem Pemantauan Kualitas Air Mineral Berbasis Internet of Things
No full textResearch has been carried out regarding checking and monitoring water quality based on parameters of turbidity level and dissolved solids in the water. The aim of this research is to rank water quality based on turbidity parameters and dissolved solids in well water, spring water and packaged product water using the simple additive weighting method. The method used is to design a water quality monitoring system using a turbidity sensor and a TDS (total dissolved solid) sensor. Processing data from sensors uses a microcontroller, namely NodeMCU ESP8266. Water quality ranking is carried out using a simple additive weighting method. The results of water quality testing are displayed on the LCD and the Blynk application using Internet of Things technology. The ranking results show that water sourced from springs is of better quality compared to well water. The water quality ranking for packaged products is ranked first, namely product Y, followed by second rank, namely product X, and finally product Z
Implementasi Fuzzy Query dalam Sistem Pendukung Keputusan untuk Investasi Properti
No full textRapid urbanization and the increasing demand for residential property have created significant challenges in the real estate market. Prospective homebuyers often face difficulties in finding properties that meet their specific criteria in a crowded and competitive market. This research proposes an approach to property investment decision-making based on the Fuzzy Query method, providing a web-based application designed to simplify the property search process. The application allows users to filter properties based on various criteria, such as price, land area, building area, number of bathrooms, number of bedrooms, certificate type, and environmental noise levels. The application features an intuitive user interface that enables users to quickly find properties that match their preferences. This decision support system effectively assists property investors in obtaining investment assessments
Deteksi Jamur Beracun dan Tidak Beracun Menggunakan CNN dan YOLO
No full textIn Indonesia, which has a tropical climate there is a lot of wood which is very suitable for mushroom growth. However, some of these mushrooms are poisonous and should be avoided. By examining the morphological characteristics of the mushroom, such as the shape of the mushroom cap, color, smell, and other characteristics it is possible to identify between poisonous and non-poisonous mushrooms. However, some poisonous mushrooms have the same morphological characteristics as non-poisonous mushrooms, making it difficult for us to differentiate them when seen with the naked eye. As a solution to this problem, machine learning is needed to identify which mushrooms are poisonous and which are not. As in this research, Convolutional Neural Network (CNN) and You Only Look Once (YOLO) were used as methods for identification. The stages in this research include collecting datasets, modeling and training data, and the final process, namely deployment. CNN Method got an accuracy value of 55% and succeeded in identifying 5 correct and 5 incorrect images from the 10 images given. Meanwhile, using YOLOv5, we got a high accuracy value of 91% and succeeded in identifying 9 correct and 1 incorrect image out of the 10 images provided. From a comparison of the 2 methods, it was found that detecting poisonous and non-toxic mushrooms was better using the YOLO method than the CNN metho
Rancang Bangun Bak Mandi Bayi Otomatis Menggunakan Logika Fuzzy
No full textThe temperature and the depth of water should be monitored during the process of bathing a baby. The acceptable temperature range for a baby's skin is very narrow, yet caregivers often pour water based on subjective estimation. Moreover, there are frequent cases of drowning during baby-bathing processes. This research aims to develop an automatic baby bathtub to facilitate safety and efficiency, by giving appropriate values of temperature and depth. The method used to control the temperature using fuzzy logic with two inputs: water temperature and depth. Meanwhile, the depth is controlled by a servo motor connected to a valve. Using fuzzy logic, Pulse-Width Modulation (PWM) signals—connected to the water heater, can be controlled so that the water reaches the desired temperature. Simulation implementation results show a similarity value of 99.72%, indicating the device accurately reads the temperature and the depth. Tests in real conditions show that the system functions well, with an average time of 2.99 minutes to increase the temperature by 2°C and 4.8 minutes for the valve to adjust the water depth
Pengaruh Harmonik Akibat Pengoperasian Motor Induksi Tiga Fasa Pada Sistem Tenaga Satu Fasa
No full textThe research conducted focuses on analyzing the harmonic effects resulting from the operation of a three-phase induction motor in a single-phase power system and examining changes in harmonic values due to load variations using two capacitors. This study is a continuation of previous research, which only addressed the influence of a single capacitor on a three-phase induction motor in a single-phase power system, without further exploration of the extent of harmonic impact on the motor. The induction motor operates based on the principle of magnetic induction. This investigation employs a single-phase induction motor with lower power capacity compared to a three-phase induction motor. Three-phase induction motors have a small starting torque, preventing them from starting under full load. The study involves increasing the starting torque of the three-phase induction motor and operating it in a single-phase electrical power system using capacitors to improve power factor during the starting process while analyzing its harmonic effects. The research findings indicate that as the load on the motor increases, both the motor speed and harmonic current values decrease. This is evident when there is no load, and the motor speed is 1475 rpm; adding a load does not exceed this speed. The motor speed decreases as the load increases, while the presence of harmonic current values is due to the linear load, such as incandescent light bulbs. The study is conducted by enhancing the starting torque of the three-phase induction motor, imposing a significant load. The motor demonstrates more optimal and stable performance with the new method compared to the old method. Additionally, the harmonic current values with the new method are lower than those with the old method
Identifikasi Warna Adonan Kerupuk Labusiam Menggunakan Sensor Warna Berbasis IoT
No full textChayote (Sechium edule) is a fruit vegetable with nutritional content, which rich in minerals and vitamins. In West Sumatra, precisely in Tanah Datar Regency, Salimpauang District, chayote has become a household product, not only is it processed into vegetables, but chayote is also processed into snacks such as chayote chips. The process of processing chayote is generally still carried out conventionally by the Salimpauang community. To overcome the problem of automatic and remote monitoring of equipment during dough mixing by applying the IoT method. This monitoring system integrated with IoT was created using a NodeMCU 8266 microcontroller device and a TCS3200 color sensor. The TCS3200 color sensor is used to monitor color changes in chayote dough. Apart from that, this sensor is also used to determine differences in the evenness of the dough color. The RGB color of the dough so that the average value for a smooth texture is R>53, G>92 and B>42
Penerapan Metode Yolov5 dan Teknologi Text-To-Speech dalam Aplikasi Pengenalan Abjad dan Objek Sekitar untuk Anak Usia Dini
No full textTechnological developments have provided significant benefits for various levels of society, including young children. There are several internal and external factors that can hinder children from remembering the alphabet and objects around them. To overcome these challenges, an innovative and interesting approach is needed to increase children's interest and involvement in learning to recognize alphabets and objects. Research has been carried out to develop an interactive learning media aimed at early childhood using an artificial intelligence approach. The You Only Look Once (YOLO) algorithm will be used to detect letters and surrounding objects in real-time, while Text-to-Speech (TTS) technology is used to convert text into sound. The dataset consists of 2511 images with 36 classes, including alphabets, fruits, animals, and stationery. In this research, the YOLOv5s method obtained a significant level of accuracy, reaching 85% so it could work well in detecting objects.