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All Journal International Journal of Electrical and Computer Engineering International Journal of Applied Power Engineering (IJAPE) Jurnal Ilmiah Poli Rekayasa Elektron Jurnal Ilmiah Infotech Journal CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal SOLMA JURNAL PENDIDIKAN TAMBUSAI Industrial Engineering Journal (IEJ) International Journal of Advances in Data and Information Systems Bulletin of Computer Science and Electrical Engineering (BCSEE) International Journal of Engineering, Science and Information Technology Mejuajua Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Energi Elektrik Jurnal Ilmiah Teknik Elektro International Journal of Science and Environment Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Jurnal Solusi Masyarakat Dikara
Kartika Kartika
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Microcontroller-Based Gas Detection in Transformer Oil Nurmaisinta Harahap; Kartika Kartika
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.380

Abstract

The transformer is one of the essential parts of an electric power system. The distribution transformer is a part of the electric power system which plays a vital role in providing electrical energy services to customers. The increasing population and the development of the times make the need for continuous electrical energy. One of the causes of insulation failure in transformers is overheating in the central part. The transformer requires a cooling system to control the heat energy generated. Transformer oil is an insulating and cooling medium for the central part of the transformer. At the time of operation, some disturbances cause the emergence of gases such as carbon dioxide, ethane, and ethylene. The purpose of this study was to design a device for detecting levels of carbon dioxide (CO2), ethane (C2H6), and ethylene (C2H4) dissolved in transformer oil by displaying the ppm (parts per million) value for each gas. Atmega328 microcontroller is used for system control and as a data processor. The data is in the form of a voltage that the ADC microcontroller feature will change. This information is used to calculate the ppm value for each gas. The concentration of this gas will be displayed on the LCD control panel. From the results of this study, the DS18B20 sensor used has an error of 0.00315%, the MG-811 sensor has an error of 10,022, the MQ-6 sensor has an error of 7,918, and the MQ-2 sensor has an error of 9,356. This is indicated by the LCD output, which receives data automatically.
Eggplant Disease Detection Using Yolo Algorithm Telegram Notified Sandika Wahyuni Nasution; Kartika Kartika
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.383

Abstract

Eggplant (Solanum Melongena L) is a type of seasonal vegetable. Eggplants vary in shape and color from white to green to purple. Facts prove that eggplant plants face several threats to their survival and growth, including disease disturbances such as leaf beetles, fruit rot, mealybugs, etc. One way to treat and monitor eggplant plants is to install a camera to capture accurate and fast image data. The image captured by the camera will be digitally processed, which can be used by deep learning methods on object recognition and evaluation system in eggplant plants. Digital image processing can present the color accuracy of leaves, and fruit stems in eggplant plants for solutions and innovations. Digital image processing is the study of image processing techniques. Processed images are still images or images captured with a model camera. In this study, the images taken were of colored leaves attacked by eggplant rot and brown stem rot. The color model used in this study to transform images to color uses the red-green-blue color function. This study uses the YOLOv4 algorithm implemented on a mobile computing device such as Raspberry Pi 4 to select images of eggplant plants captured by a camera. The image data that has been processed will produce results in plant disease diagnoses based on the image captured by the camera. The results will be announced immediately or announced on the Telegram application. We can then detect diseases in eggplant plants and provide immediate preventative measures for diseased plants to maximize yield.
Fish Dryer With Temperature Control Using the Fuzzy Logic Method Raja Muradi; Kartika Kartika
International Journal of Engineering, Science and Information Technology Vol 3, No 1 (2023)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i1.403

Abstract

Fish is a food in great demand at home and abroad, and apart from its delicious taste, fish is also prevalent because of its health benefits. High protein content and lower fat content compared to other animal protein sources. However, the quality of fish is effortless to decline and spoil. One of the efforts to preserve processed fish so that it can be stored for a more extended period is using preservation. The purpose of preserving fish is to keep fish as long as possible by eliminating the causes of spoilage. There are various types of fish preservation, one of which is drying. Fish drying is a process of reducing the water content in fish to inhibit spoilage. Several factors affect the drying fish’s operation: temperature and airflow velocity. Temperatures that are too large can cause case hardening where the outside of the fish is dry, but the inside is still wet. Then the temperature chosen in this study was 50°C and 60°C with consideration of nutritional standards for dried fish and airflow velocity of 1.5 - 2 m/s. According to SNI 2732.3: 2009, the maximum water content in dried fish is 40%. This system is supported by a type k thermocouple temperature sensor, load cell sensor, tubular heater, fan, solid state relay, keypad, I2C LCD, and Arduino mega. Two input variables must be controlled in a fish dryer: temperature and weight. At variable temperatures, the input is a type k thermocouple sensor. The output is an SSR that holds the tube heater so that the temperature of the fish dryer matches the setpoint temperature. The fuzzy logic method controls the temperature when drying fish does not exceed the set point temperature.
PENGIRAAN POSE MODEL MANUSIA PADA REPETISI KEBUGARAN AI PEMOGRAMAN PYTHON BERBASIS KOMPUTERISASI muchlis abdul muthalib; Irfan Irfan; Kartika Kartika; Selamat Meliala Selamat Meliala
INFOTECH journal Vol. 9 No. 1 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v9i1.4233

Abstract

Pandemic people don't have free access to Gym. The importance of keeping the body fit. This can be overcome with the Human Pose Estimation Computer Vision technique. Optimum and maximum distance testing data. Webcam detects movement and test data on AI Fitness Counter models. Human Pose Estimation detection data is taken when someone does fitness exercises such as pull ups, pushups, and lifting weights. Optimal webcam detects Human Pose Estimation model AI Fitness Counter is three meters. Every detail of the landmarks in the pose corresponds to the key points of each limb and the utility lines that connect form the skeleton of the body. The application of the number of detection repetitions takes advantage of the angle of the elbow when it is straight and when it is bent. The angle forms 300 then a stage up occurs and is counted as one repetition. Meanwhile, when the angle forms 1700, a stage down occurs, and one repetition is counted as well. The use of Media pipe for the detection results is accurate and effective. This detection was successful because all members of the body were detected.
Moringa Leaf Dryer Oven System Using Fuzzy Logic Method Yusril fauzan; Kartika Kartika
International Journal of Engineering, Science and Information Technology Vol 3, No 1 (2023)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i1.405

Abstract

Moringa trees are often planted as living fences and along rice fields or paddy fields, and they also function as green plants. In addition, Moringa leaves are also known as an efficacious medicinal plant by utilizing all parts of the Moringa plant, starting from the bark, seeds, and leaves to the roots and undergoing processing operations such as drying, wilting and enzymatic oxidation. The processing of Moringa goes is carried out with a drying process that aims to speed up the processing of Moringa leaves. Tests on drying Moringa leaves are carried out in 2 ways, namely drying without using controls and drying using fuzzy rules, then, from the two tests, a comparison will be made, and conclusions will be drawn. This drying was carried out to determine how much weight loss was in dried Moringa leaves using fuzzy control with a temperature of 60 °C. The overall test results for Moringa leaves were carried out with two tests. Namely, the same results will be obtained from 180-gram Moringa leaves at 60°C and 180-gram Moringa leaves at 50°C. Temperature and time with a decrease in the percentage of age by 50% using fuzzy control. This system is supported by a type k thermocouple temperature sensor, load cell sensor, tubular heater, fan, solid state relay, keypad, I2C LCD, and Arduino mega. Two input variables must be controlled in a fish dryer: temperature and weight. At variable temperatures, the input is a type k thermocouple sensor. The output is an SSR that controls the tube heater so that the temperature of the fish dryer matches the set-point temperature. The fuzzy logic method controls the temperature when drying fish does not exceed the set point temperature.
Temperature And Humidity Optimization To Add Save Life Strawberry (Fragaria chiloensis, L.) Kartika
International Journal of Science and Environment (IJSE) Vol. 2 No. 1 (2022): February 2022
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.308 KB) | DOI: 10.51601/ijse.v2i1.11

Abstract

This study aims to determine the appropriate temperature and humidity in the storage of strawberries, this research was carried out using 3 humidity treatments and 3 temperatures, namely humidity 65%, 75%, and 85% with a temperature of 10 oC, 15 oC, and room temperature, fruit fruit stored at room temperature lasts up to 3 days, while at 10 oC the fruit with 65% humidity treatment lasts up to 6 days, with 75% humidity for 6 days and with 85 % humidity it lasts for 7 days, at 15 oC the fruit with 65% humidity treatment lasts 5 days, with 75% humidity for 5 days and with 85% humidity lasts for 6 days, so based on research that has been done it is known that 85% humidity treatment with a temperature of 10 oC is the right storage for strawberries. The longest shelf life of strawberries is with a humidity treatment of 85% which is stored at 10 oC, which can extend the shelf life of 4 days longer when compared to storage at room temperature.
Desain Kontrol Motor Brushless Direct Current (BLDC) Menggunakan Boost Converter Ervina Hasan; Muhammad Daud; Habib Muharry Yusdartono; Kartika Kartika
Jetri : Jurnal Ilmiah Teknik Elektro Jetri, Volume 20, Nomor 2, Februari 2023
Publisher : Website

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jetri.v20i2.14945

Abstract

Technological developments are increasingly rapid, especially in the field of transportation, especially in electric vehicles, which are triggered by the increasing scarcity of fossil fuels. One of the propulsion engines that are widely used in electric vehicles is the brushless direct current (BLDC) motor because this motor has high torque, constant speed and is easy to regulate. This study aims to design a BLDC motor control using a boost converter as a voltage increaser and using a PID controller as a motor speed controller to keep it constant. In this study, the motor speed is simulated with an input value of 3000 rpm and then a DC voltage of 310 Vdc is given. The results showed that the motor speed regulation using a boost converter can rotate constant. The boost converter as a voltage booster is able to increase the Vin 220 Vdc voltage to a more 10% Vout, which is 242.3 V. Keywords: Brushless Direct Current (BLDC) Motor, Boost Converter, PID
Monitoring System for Levels of Voltage, Current, Temperature, Methane, and Hydrogen in IoT-Based Distribution Transformers Maksal Mina; Kartika Kartika
International Journal of Engineering, Science and Information Technology Vol 3, No 1 (2023)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i1.414

Abstract

The distribution network is an integral part of electricity distribution, both technically and non-technically, which is very vulnerable to disturbances. This disturbance should be resolved as soon as possible so that it does not interfere with the performance of the electricity distribution and also damage the distribution transformer. In overcoming this disturbance, it can be done by using a safety device and a voltage breaker in each load area. The protection system in the distribution network must work quickly and immediately isolate abnormal conditions to prevent further damage and minimize blackouts. This disturbance should be resolved as soon as possible so that it does not interfere with the performance of the electricity distribution and also damage the distribution transformer. . The effects of this disturbance are changed in voltage, current, temperature, and gas levels in the distribution transformer. So we need a tool that can monitor the condition of the transformer. NodeMCU ESP8266 is a microcontroller that can connect to the internet network, which is used as the central control. The PZEEM-004T sensor is applied as a current and voltage reader. For gas measurement, the MQ-4 sensor is used to measure CH4 gas levels; the MQ-7 sensor is used to measure CO gas levels, and the MQ-8 sensor is used to measure H2 gas levels. The test results found that due to the unbalanced load conditions, there was an increase in temperature in the transformer, which resulted in changes in gas levels. Where from the test, it was found that the lowest gas content was CH4 reaching 113 PPM, CO went 21PPM, and H2 reaching 158PPM.
Pid-Based Bottle Shark Heart Heater Design and Development Muda Irwandy; Asran Asran; Kartika Munir; Salahuddin Salahuddin
International Journal of Engineering, Science and Information Technology Vol 3, No 1 (2023)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i1.426

Abstract

Traditional medicines are ingredients or ingredients in the form of plant ingredients, animal ingredients, mineral ingredients, galenic preparations, or mixtures of these materials, which have been used for generations for treatment and can be applied according to the norms in force in society. Bottle shark (Centrophorus atromarginatus) has good prospects as a producer of liver oil; this fish is easy to catch and occurs in relatively large quantities in Indonesian waters. The catch rate until now is only 39% of its sustainable potential. Bottled shark liver oil contains 90% squalene, Vitamin A, and Omega, which are very useful for the human body as a supplement for heart disease and stomach ulcers and increase stamina and brain intelligence. The rapid Development of technology certainly benefits the people who use it. One example of today's use of technology is applying a technology system for the fisheries sector. This tool works automatically to monitor the processing of bottled shark livers. That way, fishermen don't have to worry about cloudy weather or things that will take longer than processing the shark liver bottle. This Bottle Shark Liver Heater uses temperatures at 31˚, 32˚, 33˚, 34˚, and 35˚. With PID (Proportional Integral Derivative) control, the quality of the Bottle Shark liver can be maintained. This tool is supported by a DS18B20 temperature sensor, Arduino uno, Relay, Ceramic Heater element, DC Fan, LCD 16X12, Power Supply, and Switch. It is hoped that the community, with this automatic system device, can make it easier to manage Bottle Shark Liver Oil.
Sosialisasi Peningkatan Kualitas Produktivitas Panen Udang Melalui Pemberian Pakan Udang Secara Otomatis di Meunasah Aron Raihan Putri; Asran Asran; Arnawan Hasibuan; Kartika; Faisal Faisal; Saifannur Saifannur
Jurnal SOLMA Vol. 11 No. 3 (2022)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v11i3.10492

Abstract

Background: Budidaya udang diwilayah pesisir pantai sebagian besar menjadi pencaharian bagi masyarakat di Aceh Utara. Pemberian pakan udang dilakukan secara manual pada saat pagi dan sore dengan cara menaburkan pakan ke dalam tambak. Pemberian pakan tersebut tidak efektif karena terikat dengan waktu dan ukuran pakan yang diberikan. Hal tersebut yang melatar belakangi tim pengabdian memberikan pengetahuan dengan memperkenalkan prototipe berupa teknologi alat pemberi pakan secara otomatis. Metode: Metode yang dilakukan adalah observasi, perancangan dengan cara merakit dan sosialisasi, serta memperaktekkan secara langsung penggunaan alat otomatis tersebut. Hasil:  Hasil pengabdian menunjukkan bahwa petani tambak udang sangat termotivasi untuk dapat segera menggunakan alat pakan udang otomatis karena sangat tepat dalam memperbaiki manajemen pemberian pakan sehingga dapat berkelanjutan agar ketahanan pangan terjaga. Teknologi yang digunakan berupa mikrokontroller Arduino Uno, sensor ultrasonik sebagai pendeteksi volume pakan, RTC sebagai modul pewaktu, Lcd sebagai penampil informasi hari, tanggal, bulan, modul relay, driver motor, dan motor DC. Kesimpulan: Harapan pengabdian kepada masyarakat ini adalah akan memberikan pengetahuan dan temuan baru untuk petani tambak sehingga petani mampu merancang pemberian pakan udang secara otomatis untuk memudahkan pemberian pakan agar meningkatkan produktivitas serta menghasilkan kualitas udang.
Co-Authors Afriza, Muhammad Ridho Ahmada Qodri Ali Imran Anwar Anwar Arnawan Hasibuan Asran Asran Badriana, Badriana Cut Ita Erliana Dahlan Abdullah Damayanti, Elok Ervina Hasan Ezwarsyah Ezwarsyah Faisal Faisal Feli Ramasari G. S, Kerimzade Habib Muharry Yusdartono Hari Purnomo Hasan, Ervina Hutagalung, Rizki Shobirin I Made Ari Nrartha Isma, Aldi Fadilah Jordan Jordan Maksal Mina Misbahul Jannah Misbahul Jannah Misriana Misriana Misriana, Misriana MMSI Irfan ,S. Kom Muchlis Abdul Muthalib Muda Irwandy Muhammad Daud Muhammad Yanis Muthmainnah Muthmainnah Muzair Isa Nura Usrina Nurmaisinta Harahap Nuryawan, Nuryawan Pardede, Rahmad Tarmizi Permana Putra, Fitra Raihan Putri Raisah Anni Raja Muradi Ramdhan Halid Siregar Ridho Ariandi Rizky Almunadiansyah Sahal Mahfudz Saifannur Saifannur Salahuddin Salahuddin Salahuddin Sandika Wahyuni Nasution Selamat Meliala Sitti Nurfebruary, Nanda sri nita Suryati Suryati Wanda Syahayu Yusril fauzan Zainuddin Ginting Zara Yunizar Zulfahmi Zulfahmi