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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Teliska Jurnal Informatika dan Teknik Elektro Terapan Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknologi Informasi dan Pendidikan Internet of Things and Artificial Intelligence Journal TECHNOLOGIC
Yudi Wijanarko, Yudi
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Pemantauan Suhu Air Kolam Ikan Real-time Dengan Teknologi Internet of Things (IoT) Muslimin, Selamat; Wijanarko, Yudi; Bibrosi, Nur Alif Zaki
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 2 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i2.824

Abstract

The quality of pond water is an important factor in ensuring the health and sustainability of the organisms within it. Internet of Things (IoT) technology has enabled the development of sophisticated and effective monitoring systems to monitor water quality in real-time. One important parameter that needs to be monitored is the temperature of the pond water, as unstable temperatures can harm aquatic organisms. To obtain good quality and disease-free fish at normal times, the optimal temperature for catfish fry is around 28˚C - 30˚C. Manual monitoring or using thermometer measuring instruments is still very traditional and limited to the ability of supervisors to carry out continuous monitoring and may cause delays in detecting significant temperature changes. This research aims to analyze the monitoring system of pool water quality based on temperature by utilizing IoT technology. The proposed system uses a DS18B20 temperature sensor that is wirelessly connected to the IoT network. The temperature data collected in real time will be uploaded to Firebase for storage and further analysis. Through the development of this IoT-based pond water quality monitoring system, it is expected to increase efficiency and reliability in monitoring pond water quality. From the monitoring conducted for approximately 24 hours, the temperature in the fishpond is 28°-30°. After analyzing with direct monitoring, the good temperature is at night at 18.00-00.00 WIB. In conjunction with a standard thermometer, resulted in an average temperature sensor error rate of less than 5%, highlighting the reliability of the IoT technology in real-time environmental monitoring.
PERANCANGAN SISTEM KERJA PEMBANGKIT LISTRIK TENAGA SURYA SEBAGAI SUMBER DAYA UNTUK SISTEM TANAMAN AEROPONIK BERBASI INTERNET OF THINGS Shaffa; Wijanarko, Yudi; Annisa; Nur Faizi, Muhammad
JURNAL TELISKA Vol 17 No II: Teliska Juli 2024
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13119022

Abstract

Pembangkit listrik tenaga surya (PLTS) adalah jenis pembangkit listrik yang menghasilkan listrik dari energi surya. Panel surya menghasilkan listrik langsung dari cahaya. Aeroponik adalah teknik pertanian tanpa tanah di mana larutan nutrisi disemprotkan ke akar tanaman melalui semprotan nutrisi yang halus di udara. Sistem aeroponik beroperasi menggunakan energi yang dihasilkan oleh panel surya. Baterai menyimpan energi yang tidak langsung, sehingga dapat digunakan pada malam hari atau pada hari yang kurang terang. Proses pertama yang dilakukan pada penelitian ini adalah merancang sistem monitoring lingkungan aeroponik berbasis IoT dimana komunikasi data nya melalui blynk untuk mengirimkan hasil monitoring kepada pengguna. Berdasarkan analisis dan hasil perhitungan yang telah dilakukan, untuk mendukung sistem monitoring lingkungan aeroponik berbasis IoT dengan beban total 73,284 watt, diperlukan 1666 panel surya dengan kapasitas 100 WP tanpa beban dan 1669 panel surya dengan beban serta kapasitas baterai sekitar 1055.3 kWh, dengan asumsi efisiensi sistem 75% dan penyinaran matahari 5 jam per hari.
Neural Network Controller Application on a Visual based Object Tracking and Following Robot Risma, Pola; Dewi, Tresna; Oktarina, Yurni; Wijanarko, Yudi
Computer Engineering and Applications Journal Vol 8 No 1 (2019)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (611.088 KB) | DOI: 10.18495/comengapp.v8i1.280

Abstract

Navigation is the main issue for autonomous mobile robot due to its mobility in an unstructured environment. The autonomous object tracking and following robot has been applied in many places such as transport robot in industry and hospital, and as an entertainment robot. This kind of image processing based navigation requires more resources for computational time, however microcontroller currently applied to a robot has limited memory. Therefore, effective image processing from a vision sensor and obstacle avoidances from distance sensors need to be processed efficiently. The application of neural network can be an alternative to get a faster trajectory generation. This paper proposes a simple image processing and combines image processing result with distance information to the obstacles from distance sensors. The combination is conducted by the neural network to get the effective control input for robot motion in navigating through its assigned environment. The robot is deployed in three different environmental setting to show the effectiveness of the proposed method. The experimental results show that the robot can navigate itself effectively within reasonable time periods.
Smart Room Based on ESP32 and Google Assistant: Automation Solution in Electrical Engineering Laboratory Environment Syamsuri, Wahyu; Wijanarko, Yudi; Maja, Ibnu
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.924

Abstract

The development of home automation technology and smart rooms is growing rapidly, especially through the utilization of voice commands to control electronic devices. This research develops a voice command-based smart room system using an ESP32 module connected with Google Assistant and the IFTTT platform for device control in an electrical engineering laboratory. The system allows users to turn on or off devices such as lights and TVs with just a voice, improving the efficiency and convenience of laboratory operations. The implementation using ESP32 as a Wi-Fi microcontroller, which activates relays to control devices, was tested in real laboratory conditions that have challenges in the form of electromagnetic interference and noise. The test results showed a fast and accurate system response of up to 90%, although there were some failures in high noise conditions. The system has the potential to be an effective automation solution to support learning and practical processes in electrical engineering laboratories, with further development needed to improve the system's robustness against noise interference.
PENERAPAN SISTEM KONTROL LAMPU OTOMATIS MENGGUNAKAN MIKROKONTROLER ARDUINO UNO BERBASIS FUZZY LOGIC Triandono, Muhammad; Wijanarko, Yudi; Rasyad, Sabilal
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.7296

Abstract

Pemanfaatan energi terbarukan semakin gencar diimplementasikan sebagai upaya pencapaian target net zero emission pada tahun 2060. Salah satunya adalah pengembangan teknologi lampu otomatis yang dapat beroperasi secara efisien berdasarkan kebutuhan pencahayaan. Penelitian ini merancang sistem lampu berbasis fuzzy logic dan Arduino Uno untuk meningkatkan efisiensi energi. Sistem ini memanfaatkan sensor cahaya BH1750 yang dipasang di luar ruangan untuk mendeteksi intensitas cahaya lingkungan, serta sensor tegangan untuk memantau kondisi baterai pada sistem tenaga surya (PLTS). Data dari kedua sensor tersebut diolah menggunakan fuzzy logic untuk menentukan jumlah lampu yang perlu dinyalakan, sehingga konsumsi energi dapat dioptimalkan. Pengujian dilakukan selama 4 jam dengan memantau parameter lux, tegangan, arus, dan penggunaan energi. Hasil penelitian menunjukkan bahwa sistem mampu menyesuaikan pencahayaan secara otomatis sesuai dengan kondisi lingkungan, mengurangi pemborosan energi, dan meningkatkan fleksibilitas. Dengan memanfaatkan energi surya, sistem tidak hanya hemat energi tetapi juga mandiri dan ramah lingkungan. Penerapan teknologi semacam ini merupakan langkah strategis dalam mendorong transisi energi bersih sekaligus mendukung target net zero emission di masa mendatang.
PENERAPAN FLEX-SENSOR PADA LENGAN ROBOT BERJARI PENGIKUT GERAK LENGAN MANUSIA BERBASIS MIKROKONTROLER Muslimin, Selamat; Wijanarko, Yudi
Technologic Vol 5 No 2 (2014): Technologic
Publisher : LPPM Politeknik Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Lengan Robot Berjari telah banyak digunakan pada industri maupun penggunaan dalam bidang pendidikan. Perancangan lengan robot berjari dibagi atas dua bagian, bagian pengendali pada lengan manusia (Transmitter) dan Lengan Robot Berjari (Reciever). Lengan robot berjari ini berbasis mikrokontroler dengan menggunakan ATMega 32A pada pengendali dan ATTiny 2313 pada robot serta dengan media transmisi wireless menggunakan KYL 1020U. Jari-jari robot dikendalikan oleh Flex Sensor Spectra Symbols 4.5 inch Series SEN 08606 dengan memanfaatkan resistivitas dari Flex Sensor tersebut. Flex Sensor adalah sensor lengkung yang fleksibel secara fisik sehingga dapat mengikuti pergerakan jari manusia. Range resistansi sebuah Flex Sensor berkisar 10 KΩ – 40 KΩ. Flex Sensor sebagai pengendali lengan robot berjari memiliki persentase (%) kesalahan (error) sebesar 13% - 37,7%. Setiap perubahan kelengkungan sebesar 1o pada Flex Sensor berbanding lurus dengan kenaikan nilai resistivitas sebesar 113 Ω. Kenaikan nilai resistansi terhadap derajat kelengkungan Flex Sensor akan berbanding terbalik dengan kenaikan nilai arus yang dihasilkan untuk menggerakan jari robot dengan motor mini servo HS-81. Dibutuhkan keseimbangan perancangan antara mekanik dan elektronik untuk menghasilkan kinerja lengan robot berjari yang maksimal
Sistem Navigasi Gerak Robot Lawn Mower Menggunakan Pengendali Fuzzy Logic Muslimin, Selamat; Maulidda, Renny; Wijanarko, Yudi; Permata Sari, Dewi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 11 No 2 (2019): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2019.11.2.6

Abstract

Teknologi robot yang semakin berkembang pesat telah banyak membantu manusia dalam mempermudah menyelesaikan salah satu kegiatan yaitu memotong rumput. Robot lawn mower dirancang untuk memotong rumput, menghindari rintangan dan bergerak di sepanjang lintasan yang direncanakan. Sehingga kemampuan untuk mengenali lingkungan, perencanaan lintasan dan pengambilan keputusan harus dimiliki. Robot lawn mower adalah jenis robot yang mampu melakukan pergerakan secara otomatis. Sistem navigasi dan penerapan kecerdasan artifisial merupakan hal utama agar robot dapat bergerak secara mandiri. Dalam hal ini, pengendali fuzzy logic diterapkan untuk menemukan titik koordinat yang telah ditanamkan dalam algoritma fuzzy logic yaitu maju, belok kanan, belok kiri dan putar balik. Sensor GPS Neo-6M digunakan untuk membaca titik koordinat dan sensor kompas HMC5883L digunakan untuk membaca arah dalam sistem navigasi robot yang kemudian diproses oleh pengendali dan menghasilkan keluaran berupa putaran roda yang digerakkan oleh motor
Implementation of an RFID RC522 and IoT-Based Automatic Door Security System in an Electrical Engineering Laboratory Wijanarko, Yudi; Alfarizal, Niksen; Pratama, Muhammad Regi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.37007

Abstract

The development of smart home technology has encouraged the development of more efficient and integrated automatic security systems, Using RFID technology with the Internet of Things (IoT) is one method that can be applied. This research aims to implement an automatic door security system based on RFID RC522 connected to the IoT network in the Electrical Engineering Laboratory. The research method used is Research and Development (RnD) through the process of designing, making, and testing system prototypes. The system is controlled by an ESP32 microcontroller, uses an RC522 RFID module for authentication, and utilizes relays and solenoid door locks as locking mechanisms. Test results show that the maximum effective RFID reading distance is 5 cm, with a fast and accurate response at a distance of 1 to 4 cm. The system can log all access activities directly through the IoT platform and distinguish between valid and invalid cards. In terms of power consumption, the door lock solenoid has the largest power usage when active at 7.2 W, while other components remain efficient. The implementation of this system is proven to be able to improve the security aspects and ease of access monitoring in the laboratory room automatically and connected.
Development of a Raspberry Pi 4-Powered Internet of Things System for Acne-Prone Skin Health Monitoring Kurniawan, Aprila; Sari, Dewi Permata; Wijanarko, Yudi; Sabara, Gally
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.36997

Abstract

This research developed an Internet of Things (IoT)-based facial skin health monitoring system, with a focus on acne-prone skin. Facial skin is categorized into three main types: normal, oily, and dry, as well as four types of acne: blackheads, papules, pustules, and nodules. The system is designed to enhance the accuracy of skin condition monitoring through facial image analysis, utilizing a dataset of 4,092 images. The high number of acne cases, especially in 12-24 year olds with 40-50 million cases in the United States, is the background of this research. Conventional skin analyzers are considered less capable of providing accurate quantitative data. Therefore, a Smart Skin Analyzer Detector was developed that uses a Raspberry Pi as a data processor. Images are taken through a webcam, analyzed, and then the results are sent to the cloud. The system is also integrated with Telegram to provide users with real-time notifications regarding their skin type and acne condition. This approach enables more effective, faster, and more affordable skin monitoring. The results demonstrate that IoT technology has significant potential in enhancing personalized and sustainable skin care.
Co-Authors Alfarizal, Niksen Annisa Bibrosi, Nur Alif Zaki Dewi Permata Sari Ibnu Maja Kurniawan, Aprila Muslimin, Selamat Nur Faizi, Muhammad Permata Sari, Dewi Pola Risma Pratama, Muhammad Regi Rasyad, Sabilal Renny Maulidda, Renny Sabara, Gally Shaffa Syamsuri, Wahyu Tresna Dewi Triandono, Muhammad Yurni Oktarina