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All Journal Indonesian Journal of Electronics and Instrumentation Systems e-Jurnal Arus Elektro Indonesia Emitor: Jurnal Teknik Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Teknologi dan Sistem Komputer JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JTERA (Jurnal Teknologi Rekayasa) JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Telematika TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vivabio : Jurnal Pengabdian Multidisiplin KARYA: Jurnal Pengabdian Kepada Masyarakat J-Innovation Dharma Sevanam : Jurnal Pengabdian Masyarakat Jurnal Rekayasa elektrika Journal of Educational Engineering and Environment Jurnal INFOTEL Journal of Electrical, Electronic, Mechanical, Informatic and Social Applied Science Smatika Jurnal : STIKI Informatika Jurnal Jurnal Elektronika dan Telekomunikasi
Ali Rizal Chaidir
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Neuroscience Public Health Social Sciences

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Penghitung Objek Karung di Konveyor Sabuk Berbasis Segmentasi dengan Teknik Thresholding Ali Rizal Chaidir; Gramandha Wega Intyanto; Dodi Setiabudi; Dirgahayu Kusuma Wibowo
JURNAL INFOTEL Vol 17 No 3 (2025): August
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i3.1228

Abstract

Automation technology provides better outcomes from the perspective of time efficiency, material usage, and reducing error rates in a process. Sensors and visual sensing are components or methods frequently used in industrial automation systems. Visual sensing methods can replace simple tasks typically performed by an operator's vision in the industry, such as counting specific objects. Object counting algorithms are adapted to the type of object being counted; for example, counting fish objects and counting sack objects on a conveyor belt require different algorithms. Operators who are tired or unfocused can cause errors in counting objects like sacks on a conveyor belt, leading to financial losses. The main component used in this automatic counting system is a webcam. Each image frame is captured and processed in a computer to obtain parameters used as the basis for counting sack objects. The counting results are displayed on a monitor to facilitate the operator's view of the output. The method used is segmentation with a thresholding technique, which allows the separation of sack objects from the conveyor. The application of the segmentation method produces accurate counts; a total of 21 sack objects on the conveyor belt were counted without errors using this method. The use of filters did not affect the counting results, while the area size did. An area size of 50x50 provided the most accurate counting results and the best FPS (Frames Per Second) compared to other area sizes. This technique can ensure that the calculation process does not cause errors that result in losses.
Classification of Oranges Based on Their Quality Using the YOLOv5 Algorithm wahyu muldayani; Ali Rizal Chaidir; Sumardi; Dodi Setiabudi; Aabid Nabhaan
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16255

Abstract

Indonesia, as an agrarian country, has a wide variety of horticultural commodities, one of which is mandarin orange (Citrus reticulata). Post-harvest handling, particularly the sorting process based on fruit ripeness and defects, plays an important role in maintaining product quality and market value. However, manual sorting is considered inefficient because it is repetitive, highly dependent on operator subjectivity, and prone to inconsistency. Several studies report those manual methods can result in classification error rates exceeding 20% and longer processing times compared to computer vision-based systems. This study develops an automatic citrus fruit quality classification system using the YOLOv5 algorithm. The dataset consists of 703 citrus fruit images captured directly using a webcam under varying lighting intensities and color conditions, and is divided into 80% training data and 20% testing data. The classification is performed into three quality categories: ripe, unripe (green), and rotten oranges, based on the visual characteristics of the fruit peel. Experimental results show that a training configuration with 300 epochs, a batch size of 40, and warm white bright lighting conditions achieves the best performance. Real-time testing on 15 citrus fruits yields an average accuracy of 78.2%, indicating the potential of the proposed system as an initial sorting aid, despite limitations related to lighting conditions and the amount of test data.
The Implementation of Mamdani Fuzzy Logic Control on a Hexapod Robot as a Guide for Visually Impaired People Mohamad Agung Prawira Negara; Fikri Mulyadi; Ali Rizal Chaidir; Khairul Anam
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.638

Abstract

The constraints faced by visually impaired individuals have spurred various human-created innovations to aid them. One such innovation is employing robots as guides for the blind. Numerous studies have delved into utilizing robots as guides for visually impaired individuals. Nevertheless, these robots still encounter limitations, particularly in navigating rough and uneven terrain. To tackle this issue, there's a necessity for a hexapod robot capable of traversing uneven surfaces more effectively than wheeled robots. The hexapod robot developed in this research is an autonomous robot that employs fuzzy logic as its control method. The resultant hexapod robot has showcased outstanding performance, attaining a 100% success rate in navigating the specified path and demonstrating a reliability of 79.78%.
AMC HETNET Macro and Femto Cell used 10 GHz for Drone Communication with SKE Method around Building Environment Andrita Ceriana Eska; Ali Rizal Chaidir; Gramandha Wega Intyanto
Journal of Electrical, Electronic, Mechanical, Informatic and Social Applied Science Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unit Penelitian, Pengabdian Kepada Masyarakat dan Penjamnan Mutu Akademi Komunitas Negeri Pacitan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58991/mgmgn767

Abstract

Communication propagation between a drone and a HetNet (Heterogeneous Network) gNB (generalized Node B) in uplink conditions. The drone moves on a straight path between built-up environments. The communication frequency of 10 GHz can affect oksigen and water vapor at that frequency. Propagation of communication systems in a building environment can cause diffraction. The diffraction mechanism was modeled with Single Knife Edge (SKE) method. AMC (Adaptive Modulation and Coding) dynamically modifies the coding rate and modulation scheme according to signal quality. MCS (Modulation and Coding Scheme) consisting of QPSK, 16QAM, and 64QAM was used in AMC. Research analysis includes SNR values ​​on the drone path, coverage percentage, and MCS percentage. As a result of research for MCS 64QAM coderate 4/5 with Selection Combining (SC) between HetNet gNB macrocell and gNB femtocell, 64 nodes or 95.52% were obtained. The communication coverage was obtained using MCS for drone communication on this route.
Design and Implementation of an ESP32-Based Smart Home Electricity Monitoring and Control Module Using MQTT Dash and Telegram Integration Muh Asnoer Laagu; Bayu Retno Joyo Nendriyo; Iftiqori Fiqi Anshori; Immawan Wicaksono; Ali Rizal Chaidir
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2321

Abstract

This study presents the design and implementation of an ESP32-based smart home box module that integrates multi-channel load control, real-time electrical energy monitoring, and automated user reporting within a single compact and modular system. The proposed module employs an eight-channel relay for household appliance control using the MQTT communication protocol, with MQTT Dash providing real-time visualization and manual control. Electrical parameters, including voltage, current, active power, and cumulative energy consumption (kWh), are measured using a PZEM-004T sensor and transmitted continuously via MQTT. The main contribution of this work lies in the unified system architecture that consolidates device control, energy measurement, and user interaction without reliance on proprietary cloud platforms. In addition to dashboard-based monitoring, a Telegram bot is integrated to deliver real-time system status notifications, on-demand energy reports summarizing average power and total consumption, and fully automated 24-hour periodic reports. This dual interaction mechanism enables both active real-time supervision and passive long-term monitoring, addressing limitations commonly found in prior IoT smart home implementations. Experimental evaluations confirm that the proposed system operates reliably, responsively, and with acceptable measurement accuracy for residential applications. All relays on the eight-channel module respond stably to ON/OFF commands from the MQTT Dash interface with delays of less than one second, ensuring dependable real-time control. The PZEM-004T-based monitoring subsystem provides voltage, current, power, and energy data with power measurement errors ranging from 0.83% to 2.66%, which is suitable for daily household energy monitoring. Tests under various single and combined load conditions demonstrate consistent detection of power variations. Overall, the results indicate that the proposed smart home box module provides a practical, low-cost, and scalable solution for integrated IoT-based residential energy control and monitoring.
Performance Analysis of Inverse Kinematics-Based Balance Control for Hexapod Stair Navigation SYAFFEL SEAN RIZKINATA HERYAMAN; KHAIRUL ANAM; WAHYU MULDAYANI; ALI RIZAL CHAIDIR; DEDY WAHYU HERDIYANTO; CANDRA PUTRI RIZKIYAH RAMADHANI; AVIQ NURDIANSYAH PUTRA; MUCHAMAD ARIF HANA SASONO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 2: Published April 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i2.261

Abstract

Maintaining body stability is a key challenge for hexapod robots in stair navigation. This study proposes an inverse kinematics (IK)-based approach for dynamic balance control using real-time joint angle computation. Experimental results show that the method maintains body orientation near a neutral position, achieving a minimum pitch angle of 7.3°, thereby improving stability and reducing mechanical collision risk. System performance is also influenced by actuator speed and battery voltage.
Optimalisasi Kolam Non-Produktif melalui Implementasi Teknologi Autofeeder pada Budidaya Ikan di Desa Karangpring Ali Rizal Chaidir; Fatoni Riski Ramadani; Virda Ayu Pujiati; Ferdilla Ayza Melani; Bella Inestyas K; Penareal Naibaho; Muhamad Ilham L.H.; Bintang Bima Setyo A; Ahmad Ramadhani; Fahreza Satia Gani; Mochammad Farhan N
Dharma Sevanam : Jurnal Pengabdian Masyarakat Vol 5 No 1 (2026): Juny 2026
Publisher : IAHN Gde Pudja Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53977/sjpkm.v5i1.3843

Abstract

The implementation of autofeeder technology in tilapia aquaculture represents a strategic solution to enhance feed efficiency and productivity, particularly for fish farmers in Karangpring Village who manage aquaculture as a side occupation. The primary issue identified in the field is the use of manual feeding methods, which tend to be inconsistent due to the farmers' limited time and busy schedules. This inconsistency negatively impacts fish growth rates and leads to low survival rates, ultimately rendering ponds unproductive. This automated feeding system is specifically designed to regulate feeding schedules, frequency, and dosage consistently and accurately, aligned with the nutritional requirements of the fish at various growth stages. The methodology for this community service activity involves several stages, beginning with field observations, program socialization for users, the installation of autofeeder devices, and technical training on equipment operation. The results demonstrate that the use of autofeeders can effectively reduce feed wastage, which directly contributes to production cost efficiency and the improvement of the Feed Conversion Ratio (FCR) value. Beyond providing operational convenience and reducing the physical daily workload for farmers, this appropriate technology also establishes a more measurable and modern aquaculture management system. Overall, the application of this technology holds significant potential to support the community's economic sustainability by optimizing the revitalization of non-productive pond into more profitable, self-sufficient, and sustainable business units at the rural level.
Deteksi dan Penghitungan Speed Bump Berbasis YOLOv8 dan DeepSORT untuk Sistem Keselamatan Berkendara Immawan Wicaksono; Hilman Arif Rahmawan; Ali Rizal Chaidir; Andrita Ceriana Eska; Moh Asnoer Laagu
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 10, No 3 (2026): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v10i3.26828

Abstract

Keselamatan berkendara merupakan aspek penting dalam sistem transportasi, terutama pada jalan yang dilengkapi speed bump sebagai pembatas kecepatan. Speed bump yang tidak terlihat jelas dapat menimbulkan ketidaknyamanan, kerusakan kendaraan, dan potensi kecelakaan. Penelitian ini mengembangkan sistem deteksi dan penghitungan speed bump berbasis You Only Look Once version 8 (YOLOv8) yang dikombinasikan dengan DeepSORT dan garis virtual pada video rekaman kamera smartphone. Dataset yang digunakan terdiri atas 1.000 citra speed bump yang dianotasi secara manual menggunakan bounding box dan dibagi menjadi data latih, validasi, dan uji dengan rasio 70:20:10. Model dilatih pada Google Colab selama 100 epoch dengan ukuran citra 640 x 640 piksel dan batch size 32. Evaluasi dilakukan menggunakan precision, recall, mAP, akurasi deteksi, akurasi counting, dan frame per second (FPS). Hasil validasi menunjukkan precision 99,85%, recall 100%, mAP@0.5 sebesar 99,50%, dan mAP@0.5:0.95 sebesar 64,16%. Pada pengujian video lapangan, confidence threshold 0,5 memberikan rata-rata akurasi deteksi tertinggi sebesar 85,50%, sedangkan threshold 0,6 dan 0,7 masing-masing menghasilkan 63,64% dan 37,01%. Kecepatan pemrosesan sistem berada pada rentang 25-42 FPS. Hasil penelitian menunjukkan bahwa YOLOv8 mampu mendeteksi speed bump dengan baik pada kondisi pencahayaan memadai, namun akurasi penghitungan masih dipengaruhi oleh double counting akibat ketidakstabilan ID tracking.
Co-Authors A.A. Ketut Agung Cahyawan W Aabid Nabhaan Afirst Rosa Hariyantin Ahmad Ramadhani Anam, Khairul Anam, M. Khairul Andrita Ceriana Eska Arizal Mujibtamala Nanda Imron AVIQ NURDIANSYAH PUTRA Azmy Akhyar Al Insani Bayu Retno Joyo Nendriyo Bella Inestyas K Bintang Bima Setyo A Bukhori Muslim Candra Putri Rizkiyah Ramadhani Daru Quthni Firdaus Dedy Wahyu Herdiyanto Dicky Bagoes Pratama Dirgahayu Kusuma Wibowo Dodi Setiabudi Dodi Setiabudi Fahreza Satia Gani Fahrul Isman Fatoni Riski Ramadani Ferdilla Ayza Melani Fikri Mulyadi GAMMA ADITYA RAHARDI Gramandha Wega Intyanto Gramandha Wega Intyanto Guido Dias Kalandro Gusfan Halik Gusti Ayu Lunia Kandiva Hughy Desta Hani, Hanif Abdi Hakim Hidayatullah, Angga Syarif Hilman Arif Rahmawan I’zaaz Irfanianingrum Iftiqori Fiqi Anshori Ike Fibriani Immawan Wicaksono Kurniawan Hidayat Luh Putu Ratna Sundari Moch. Gozali Moch. Rijal Fatoni Mochammad Farhan N Moh Asnoer Laagu Mohamad Agung Prawira Negara Mohamad Agung Prawira Negara, Mohamad Agung MUCHAMAD ARIF HANA SASONO Muchammad Farhan Anda Muh Asnoer Laagu Muhamad Ilham L.H. Muhammad Shonhaji MUKHRODI, FAUZAN AWWAL Mulyadi, Fikri Nurus Shafirah Qolbi Orlando Gani Sahroni Panji Eka Prasetya Penareal Naibaho Putri Eka Yulianda Randu Agung Prasetyo Regita Gustiayu Pramisti Maharani Risa Dwi Irwani Risa Dwi Rachmawati SA?ID, MUH. FAZAUDDIYAK SA’ID, MUH. FAZAUDDIYAK Satryo Budi Utomo Siswahyudianto Sumardi Sumardi Sumardi Sumardi Sumardi SYAFFEL SEAN RIZKINATA HERYAMAN Syamsul Arifin Utami, Ayu Lista Virda Ayu Pujiati Wahyu Muldayani Widjonarko Widya Cahyadi Widyono Hadi Wira Adi Winata