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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Jurnal Informatika Kaputama (JIK) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering International Journal of Advances in Data and Information Systems Bulletin of Computer Science and Electrical Engineering (BCSEE) Rambideun : Jurnal Pengabdian Kepada Masyarakat Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Minfo Polgan (JMP) Jurnal Energi Elektrik Jurnal Malikussaleh Mengabdi Jurnal Solusi Masyarakat Dikara
Rosdiana Rosdiana
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Design of Maximum Power Point Tracking for Solar Collector Drying System: An Experimental Study Saifuddin M. Jalil; Faizar Abdurrahman; Selamat Meliala; Rosdiana Rosdiana
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v9.i4.pp1799-1803

Abstract

This research describes the performance of maximum power point tracking as a solar collector of PV system integration for agriculture product drying system. The system comprises of solar collector, tracking PV array, the battery bank, the micro controller and the DC converter. This system is design to enhance the work of solar collector in drying process.. This design is hoped to be an appropriate system in order to ensure the maximum result by providing solar radiation energy. This paper shows the experiment data of the voltage and power response in positioning the PV to yield a maximum photovoltaic array output power of solar drying system device.
IMPLEMENTASI PEMODELAN CITRA MODEL SVM (SUPPORT VECTOR MACHINE) DALAM PENENTUAN PENGKLASIFIKASIAN JENIS SUARA KONTES BURUNG Rosdiana Rosdiana; Mutammimul Ula; Hafizh Al Kautsar Aidilof
Jurnal Informatika Kaputama (JIK) Vol 5, No 2 (2021): Volume 5, Nomor 2 Juli 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v5i2.566

Abstract

Penelitian ini digunakan untuk klasifikasi pemodelan dengan citra model SVM (Support Vector Machine) dalam pengklasifikasian jenis suara burung yang telah dilatih dan hasil yang didapat berupa jenis suara burung yang telah diklasifikan dengan uji latih model SVM dihasilkan. Selanjutnya proses pada pengenalan suara burung yang dilakukan secara proses otomatis penggalian dan penentuan informasi linguistik yang disampaikan oleh sinyal suara atau sirkuit elektronik. Untuk masing-masing data latih memiliki tiap-tiap sample suara yang dihasilkan memiliki nilai energi masing-masing yang dipengaruhi oleh frekuensi, amplitudo dan phasa. Nilai energi dari masing-masing sample suara itu kemudian ditetapkan sebagai suatu ciri untuk dapat dikalsifikasi dengan sample suara lainnya. Metode support vector machine berperan dalam proses pengelompokan nilai energi suatu untuk menentukan ciri dari suatu sample suara. Setelah masing-masing sample suara memiliki identitas atau ciri masing-masing, maka dilakukanlah pengklasifikasian sample suara dimana dalam penelitian ini akan ditampilkan spesies dari suara burung yang diinputkan. dalam skema identifikasi jenis burung memiliku proses dengan tahap kenel 1 proses SVM dari masing-masing input file suara dan dilakukan kekernel uji dengan proses SVM yang hasilnya fungsi mapping, hasil uji, jarak cektor ciri spesies burung dan nilai grafik scope yang di latih. Persentase keakuratan sistem grafik dengan identifikasi false dan right berdasrkan sample pelatihan yang dilakukan.
Design and Development of An Automatic Door Gate Based on Internet of Things Using Arduino Uno Arnawan Hasibuan; Rosdiana Rosdiana; Dewi Sartika Tambunan
Bulletin of Computer Science and Electrical Engineering Vol. 2 No. 1 (2021): June 2021 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v2i1.1141

Abstract

This study aims to design a prototype of an automatic gate drive by utilizing a DC motor in order to be able to control the house gate automatically and be able to open the door or close the door by using an application on a Smartphone. The drive system uses a DC motor with a supply voltage given from a 12 V battery installed on the prototype turnstile. so that the DC motor can open and close properly it requires serrations on the gate according to the size of the teeth (gear). Besides that, the components are arranged in the Arduino uno circuit using the HC-05 Bluetooth module, Motor Driver l298n as a polarity reverser for the DC motor, the fence as a load, and the Bluetooth RC Controller application to be able to input so that the DC motor can move according to the commands given.
Application of Artificial Intelligence Chi-Square Model and Classification Of KNN in Heart Disease Detection Rosdiana Rosdiana; Vera Novalia; Ilham Saputra; Mutammimul Ula; Muhammad Danil
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7343

Abstract

Cardiovascular disease is a problem in the blood vessels that do not run smoothly into the heart. This is fatal in patients with a history of heart disease. This problem often occurs in the flow of blood pumps into the heart. The problem examined in this study is how to complete the level of accuracy of each data set and the reduction of each attribute in heart disease. The purpose of this study is to analyze heart disease and classify heart disease using the chi-square and K-Nearest Neighbor algorithms. The results of the study with patient age 57, gender LK, cp 3, trestbps 200, chol 564, fbs 1, restecg 2, thalach 202, oldpeak 6.2, slope 2, ca 4, and the value of thal 3 for the target is there is disease heart 0 or 1 is detected without heart disease when the max-min data is normalized. while to measure the performance of the algorithm with the value of the confusion matrix with the actual class value of 1, prediction class 1 value 44, actual class 0 and prediction class value 6. while the actual class value 0-1, prediction class 1 value 5 and 0-0 value 36. the final stage value of the accuracy measure is 0.87912, the recall value is 0.89797 and the precision value is 0.85714. The implication of the application of the test has an optimal test, the accuracy value with data K = 303 then it can be concluded that based on the test the calculation of the KNN model obtained an accuracy of 91%
Stress Diagnosis System Using Fuzzy Logic Method Rosdiana Rosdiana; Arnawan Hasibuan; Anggi Chairani; Muhammad Daud; Muhammad Sayuti
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 4 No 3 (2022): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (549.295 KB) | DOI: 10.46574/motivection.v4i3.162

Abstract

Stress is a response from within the body due to pressure in life that causes fear and anxiety. In previous studies, researchers only used 2 sensors, namely the Pressure sensor (MPX5500DP) and the Temperature Sensor (LM35). The purpose of this research is to develop measurement instrumentation from previous research. This study uses 3 sensors, namely the DS18B20 temperature sensor (oC), pulse sensor (bpm), and the Galvanic Skin Response (GSR) sensor. The method used is the Sugeno fuzzy logic method as parameter measurement and LCD as data display. Media intermediary data transmission using wi-fi ESP8266. The test results with the tool will be compared with the DASS 42 Questionnaire, which is one of the psychological stress measuring tools. From the results of the test tools and questionnaires, the percentage of the average level of conformity is 56%. Stres merupakan suatu respon dari dalam tubuh karena adanya tekanan dalam hidup yang menyebabkan ketakutan,dan kecemasan. Pada penelitian sebelumnya peneliti hanya menggunakan 2 sensor saja,yaitu sensor Tekanan (MPX5500DP) dan Sensor Suhu (LM35) alat yang dihasilkan kurang akurat. Adapun tujuan penelitian ini adalah untuk mengembangkan instrumentasi pengukuran dari penelitian sebelumnya. Penelitian ini menggunakan 3 sensor yaitu sensor suhu DS18B20 (oC), pulse sensor (bpm), dan sensor Galvanic Skin Response (GSR). Metode yang digunakan adalah metode fuzzy logic Sugeno sebagai pengukur parameter dan LCD sebagai tampilan data. Media perantara pengiriman data menggunakan wi-fi ESP8266. Hasil pengujian dengan alat akan dibandingkan dengan Kuesioner DASS 42 yaitu salah satu alat ukur stress psikolog. Dari hasil uji Alat dan kuesioner maka didapatkan persentase tingkat kesesuaian rata-rata yaitu sebesar 56%.
Design of Automatic Coffee Bean Roaster Based on Arduino Uno Microcontroller Romi Agustian; Andik Bintoro; Rosdiana Rosdiana; Misbahul Jannah; Salahuddin Salahuddin; Waleed Khalid Ahmed Al-Ani
International Journal of Advances in Data and Information Systems Vol. 3 No. 2 (2022): October 2022 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v3i2.1238

Abstract

This study aims to design an automatic coffee bean roaster machine to meet the needs of supporting tools and machines for the downstream coffee industry. Design of a coffee bean roaster based on an Arduino uno microcontroller. The design is carried out by designing an automatic coffee bean roaster which includes making a tool framework, making programs or commands on the Arduino Uno, testing the automatic coffee bean design tool based on the Arduino Uno microcontroller. The results of the design of the automatic coffee bean roasting machine based on the Arduino uno microcontroller are functioning well. The automatic coffee bean roaster machine based on the Arduino Uno microcontroller consists of a 24V DC Power supply, Ds18b20 Sensor, 12V DC Fan, L298N Motor Driver, Servo, 12V DC Motor, 16x2 LCD, Arduino Atmega2560 Microcontroller, coffee bean roasting container and frame. Functional test results show that all components of the roasting machine are able to function according to their functions. By controlling the control system on the heating element based on a temperature of 1000C which is read by the Ds18b20 temperature sensor using the Arduino Uno program, which is driven by a servo motor with an automatic coffee roaster capacity of 250 grams per one roast.
Piko Hydro Scale 12 Volt For Lighting Requirements in Farmed Alansyah Putra; Rosdiana Rosdiana; Muhammad Muhammad; Muzamir Isa
Bulletin of Computer Science and Electrical Engineering Vol. 3 No. 2 (2022): December 2022 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v3i2.1166

Abstract

The level of consumption of domestic electrical energy is increasing along with the economic growth of the population in Indonesia, especially in Aceh, Gayo Lues Regency is a lot of potential water energy that has not been utilized to produce electrical energy. The pico hydro power plant is a renewable energy that is environmentally friendly, it is expected to be able to utilize the potential of water flow around farmer's plantations, and to find out how much power capacity is generated in the flow of water in farmer's gardens, and aims to find out how much output power the generator will generate from the potential of water flow to be used as a substitute for the use of fossil fuels, as lighting at night and to recharge farmers' electronic equipment in the fields of Gayo Lues Regency. The methodology used for data collection in this study was to collect data directly from the field by means of measurement and testing of tools, the data obtained from this study was by bidding water with a height of water falling on a test of 0.8 meters, 0.9 meters and 1 meter By calculating and analyzing the water discharge that has the potential to produce electric power with an average water discharge of 8.58 m3/s, the type of turbine used in this study is the Kaplan turbine with head adjustment and more specifically for the turbine and alternator with power 40 watts.
Analisa Deteksi Tingkat Kualitas Minyak Pada Buah Sawit Berdasarkan Tingkat Kematangan Warna Buah Menggunakan Drone Berbasis Pengolahan Citra Di PTPN Membang Muda Sumut Rosdiana Rosdiana; Wahyu Utomo; Muhammad Daud; Muhammad Muhammad
Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Vol 9 No 1 (2023): Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton
Publisher : Lembaga Jurnal dan Publikasi Universitas Muhammadiyah Buton

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35326/pencerah.v9i1.3027

Abstract

Dalam penelitian ini, pengolahan citra digital digunakan di bidang pertanian untuk menganalisis tandan buah sawit untuk menentukan kematangannya, khususnya dengan mengidentifikasi atau mengkategorikan Tandan Buah Segar (TBS) dan Tandan Buah Mentah (TBM) berdasarkan teknologi. Citra Tandan Buah Segar (TBS) dan Tandan Buah Mentah (TBM) digunakan dalam penelitian ini. Segmentasi gambar latar belakang dihapus dari citra selama preprocessing dengan menetapkan nilai ambang saturasi 0,2 hingga 0,7, yang akan mengekstraksi fitur RGB. Pada penelitan ini algoritma klasifikasi yang akan digunakan yaitu Jaringan Saraf Tiruan (JST) Backpropagation dan Learning Vektor Quantization (SOM). Hasil matriks ekstrak ciri RGB dipakai sebagai input Jaringan Saraf Tiruan backpropagation dan SOM. Dengan analisis Receiver Operating Characteristic (ROC) hasil penelitian dengan pengujian 20 TBS dan 20 TBM diperoleh tingkat precision =100%, accuracy=100%, sensitivity =100%, dan specificity=100% dengan metode klasifikasi backpropagation dengan threshold saturation 0,4 dan diperoleh hasil precision=95%, accuracy =98%, sensitivity =100%, dan specificity=95% dengan metode klasifikasi SOM dengan threshold saturation 0,4.
Optimasi Penggunaan Data Logger Pada Internal Kendaraan Berbasis IOT Edo Roska; Taufiq; Rosdiana Rosdiana; Selamat Meliala
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Article Research March 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12323

Abstract

Abstract―Vehicles are a secondary need for humans that can be postponed. However, Indonesia has a tropical climate, so everyone needs a vehicle as a means of transportation, therefore every year vehicles increase rapidly as the population increases. Indonesia is currently a fairly large vehicle sales market. So with the increasing number of road vehicles getting out of control, the result is congested roads, as a result of which traffic violations and accidents are increasing every year. Therefore, by making an optimization tool for using data loggers on two-wheeled vehicles, we intend to monitor every vehicle on the road. However, this research focuses on output data such as accuracy and delay of real time IoT-based vehicle data and data loggers that are stored automatically on SD memory cards in two-wheeled vehicles. The research results from the Infrared sensor data sent to the Blynk server, there is a fairly long delay and the data stored on the SD memory card is quite good, only has a delay per one second, the voltage sensor here plays a good role in real time data and data on the SD memory card because there is no delay the old ones are in sync with actual events, while the realtime control panel output results to the Blynk server using the NodeMCU ESP8266 produce realtime output, and the use of relays as controllers of the tools that have been made has been tested and obtained satisfactory results.
Prototype Catfish Seed Calculator Using Arduino Uno in Cloudy Water Fauzi Sahlan Rizki Sinaga; Muhammad Daud; Misbahul Jannah; Rosdiana Rosdiana
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 7, No 2 (2023)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v7i2.16805

Abstract

Since Indonesia is an archipelagic nation, the economic sector of fisheries, particularly catfish farming, is one that has a lot of potential. However, a lot of catfish breeders still count their fish seeds by hand, which is time-consuming, particularly in hazy water conditions. Therefore, an automatic catfish seed counter is required in order to make calculations simpler, quicker, and more precise even under hazy water situations. In order to address these objectives, the prototype of a catfish seed counting device in murky water is shown in this study. This tool's prototype was created and constructed utilizing an Arduino Uno as the processor, two different types of sensors as inputs, and an LCD and buzzer as outputs. The FC-51 proximity sensor is used to count the quantity of fish seeds, while the turbidity module sensor measures the amount of turbidity in the water. With a total sample size of 50 fish fry, the test was run under three conditions for the turbidity level of the water samples: 6.21 NTU, 11.10 NTUs, and 16.38 NTU. According to the test results, the catfish seed counter in murky water performed admirably and was fairly accurate. An average error value of 3.2% is achieved with a water turbidity value of 6.21 NTU. An average error value of 6.8% was discovered at the turbidity value of 11.10 NTU. Finally, an average error value of 18.8% was discovered at a water turbidity value of 16.38 NTU. In order for this catfish seed counter to be effective, water turbidity values below 13 NTU with a minor error of 10% are preferred, particularly water turbidity values below 8 NTU with a little error of 5%.
Co-Authors Akbar, Farhan Alansyah Putra Andik Bintoro Anggi Chairani Arnawan Hasibuan Asran Asran Asri Asri Badriana, Badriana Chairani, Anggi Dewi Sartika Tambunan EDI YUSUF, EDI Edo Roska Eva Ayuzar Faizar Abdurrahman Fauzi Sahlan Rizki Sinaga Fidyatun Nisa Hafizh Al Kautsar Aidilof I Made Ari Nrartha Ilham Saputra Juniwan Ginting M Sayuti Misbahul Jannah Muhammad Danil Muhammad Daud Muhammad, Muhammad Mutammimul Ula Mutmainnah Mutmainnah Muzamir Isa Nasution, Abdon Nawari Pangestu, Mhd Tobi Raihan Putri Rofandy, Muhammad Yudha Romi Agustian Saifuddin Muhammad Jalil Salahuddin Salahuddin Selamat Meliala Suriyanto Suriyanto Syukriah Syukriah, Syukriah Taufiq Vera Novalia Veri Ilhadi Wahyu Utomo Waleed Khalid Ahmed Al-Ani Yasir Amani Zulmiardi, Zulmiardi