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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Techno.Com: Jurnal Teknologi Informasi Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL MEDIA INFORMATIKA BUDIDARMA IKRA-ITH Informatika : Jurnal Komputer dan Informatika PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Ipteks Terapan The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Informatika Dan Tekonologi Komputer (JITEK) pendidikan, science, teknologi, dan ekonomi Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Manajemen Sistem Informasi Jurnal Pengabdian Masyarakat Unama Prosiding Seminar Nasional Ilmu Teknik Jurnal Informatika Dan Tekonologi Komputer
Kurniabudi, Kurniabudi
Universitas Dinamika Bangsa
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Public Health Other

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Rancang Bangun Sistem Sortir Buah Tomat Berbasis IoT Menggunakan Sensor Warna TCS34725 dan Mikrokontroler ESP32 Hadra Harirah; Kurniabudi; Willy Riyadi
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 2 (2026): JAKAKOM Vol 6 No 2 SEPTEMBER 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.2.2859

Abstract

Tomato sorting is an important post-harvest handling process, but manual sorting may produce inconsistent classification and depends on operator judgment. This study designs and implements an Internet of Things (IoT)-based prototype for automated tomato sorting according to ripeness and size using an ESP32 microcontroller. The system integrates a TCS34725 color sensor for ripeness classification, an infrared proximity sensor for object detection, servo motors for sorting, a DC motor-driven roller grader for size separation, and the Blynk platform for remote monitoring and conveyor-speed control. The prototype was developed using a Research and Development approach and evaluated through functional testing of its main subsystems. The proximity sensor achieved a 90% detection success rate, the TCS34725 achieved 70% ripeness classification accuracy, the servo sorter and stopper achieved 100% synchronization in the tested conditions, and Blynk monitoring achieved an 80% success rate with a response latency below 200 ms under stable Wi-Fi conditions. The arithmetic mean of the four subsystem rates was 85%, but this value represents a descriptive summary rather than the end-to-end accuracy of the complete sorting system. The results demonstrate the functional feasibility of the prototype, while improvements in sorting efficiency and post-harvest loss reduction were not experimentally verified.
Fuzzy Logic-Based IoT System for Temperature, Humidity, and pH Control in Dadih Fermentation M. Saefullah Iqbal al Dinky; Kurniabudi; Willy Riyadi
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 2 (2026): JAKAKOM Vol 6 No 2 SEPTEMBER 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.2.2860

Abstract

The fermentation process of dadih, a traditional fermented buffalo milk product from Minangkabau, is highly influenced by environmental conditions, particularly temperature and humidity. Instability in these parameters may lead to inconsistent product quality, fermentation failure, and overall quality degradation, especially in micro, small, and medium enterprises (MSMEs). This study aims to design and implement an Internet of Things (IoT)-based system for monitoring and controlling temperature and humidity in the dadih fermentation process. The proposed system utilizes an ESP32 microcontroller as the main control unit, a DHT22 sensor for measuring temperature and humidity, and a pH-4502C sensor to determine the level of fermentation maturity. Sensor data are transmitted in real time to the Firebase Realtime Database via an internet connection and visualized through a web dashboard to enable remote monitoring. The system is also equipped with actuators, including a PTC heater, Peltier TEC1 module, mist maker, intake fan, exhaust fan, and buzzer, which function as an automatic control mechanism to maintain optimal fermentation conditions. Experimental results indicate that the system is capable of performing real-time monitoring and control with an average delay of 113.33 ms, consisting of 100 ms for temperature, 110 ms for humidity, and 130 ms for pH measurements. Furthermore, the system is able to store historical fermentation data and provide indicators of fermentation maturity based on pH values. The implementation of this system enhances the stability of the fermentation process, reduces environmental fluctuations, and improves operational efficiency. Therefore, the proposed system has the potential to assist MSMEs in maintaining consistent dadih product quality, increasing productivity, and reducing reliance on manual monitoring
Optimization of Hyperparameter Tuning for Attack Detection in IoT Networks Using a Deep Belief Network Eko Arip Winanto; M. Riza Pahlevi B; Dodi Sandra; Kurniabudi
Jurnal PROCESSOR Vol 21 No 2 (2026): Jurnal Ilmiah Processor, Edisi Oktober 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2026.21.2.2888

Abstract

An Intrusion Detection System (IDS) is a crucial tool in computer network security for detecting adversarial attacks. Deep Learning is a trending method in both research and industry, and it can recognise subtle differences in data. However, the effectiveness of an IDS depends on the accuracy and efficiency of the detection model employed. Additionally, deep learning models require careful tuning of hyperparameters to achieve optimal detection performance. This study explores the impact of hyperparameter tuning on the performance of a Deep Belief Network (DBN) in detecting network attacks. Two experimental scenarios were conducted: DBN without hyperparameter tuning and DBN with hyperparameter tuning. The results indicate that the DBN with hyperparameter tuning achieved an accuracy of 0.999, outperforming the DBN without hyperparameter tuning (0.998 accuracy). These findings suggest that hyperparameter optimisation significantly enhances the detection capability of the model, improving both the accuracy and the resilience of the IDS against attacks.
Co-Authors Aan Tohir Efendi Abdul Harris Abdul Harris Abdul Harris Abdul Harris Abdul Harris Abdul Rahim Abdul Rahim Abdul Rahim Admaja, Admaja Ahmad Heryanto Albertus Edward Mintaria Albertus Edward Mintaria Ammar panji Pratama asih asmarani Bedine Kerim Bedine Kerim Candra Adi Rahmat Chindra Saputra Darmawijoyo, Darmawijoyo Dede Andri Wahyudin Denia Igesti Nur Mellyati Deris Stiawan Dinda Putri Ramadani Dodi Sandra Dodi Sandra Dodo Zaenal Abidin Dr. Hendri, S.Kom., S.H., M.S.I., M.H Eko Arip Winanto Eko Arip Winanto Elvi Yanti Elvi Yanti Elvira Rosanda Erick Fernando Erick Fernando Erick Fernando B311087192 Fachruddin Febriyan Nurmansyah Gunardi Gunardi Hadra Harirah Harid, Harid Harris, Abdul Haryan Dwi Baharna Hendri Hendri Hendri Hendri Hendy Saryanto Heri Setiawan Herry Mulyono Ibnu Sani Wijaya Idris, Mohd. Yazid Idris, Mohd. Yazid Imam Rofi’i Irawan, Beni Irfan, Fadhel Muhammad Jasmir, Jasmir Joni Devitra Kurniabudi Kurnianto Basuki Lola Yorita Astri, Lola Yorita M. Saefullah Iqbal al Dinky Mellyati, Denia Igesti Nur Minal Juadli Mintaria, Albertus Edward Mohd Yazid bin Idris Mohd Yazid Bin Idris Mohd. Yazid Idris Mohd. Yazid Idris Muhammad Arief Maulana Muhammad Rafly Ramadhan Muhammad Riza Pahlevi Nabila Kamila Hasna Nurhadi Pandapotan Siagian Pareza Alam Jusia, Pareza Alam Purnama, Benni Putri Nawang Wulan Rahman saibi Rahmat Budiarto Rahmat Budiarto Raka Jumersyah Pratama Realensi Realensi Rilis Pebriyanti Siringo Ringo Risky Radison Nasution Ryan Sihopong Parlindungan Siregar Samsuryadi Samsuryadi Setiawan Assegaf Sharipuddin, Sharipuddin Sharipuddin, Sharipuddin Shelby Amalia Sandi Siagian, Pandapotan Suwaldo Aris Ferry Hutabarat Syamsul Arifin Syifqi, Achmad Tasya Nurdin Valensia, Vally Veronica Veronica VERONICA VERONICA WILLY RIYADI Willy Riyadi Winarno Wirmaini, Wirmaini Yudi Novianto Yudi Novianto Yundari, Yundari Zulwaqar Zain Mohtar