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All Journal International Journal of Electrical and Computer Engineering ELKHA : Jurnal Teknik Elektro Jurnal Neutrino : jurnal fisika dan aplikasinya Bulletin of Electrical Engineering and Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika PROtek : Jurnal Ilmiah Teknik Elektro Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control SENTIA 2016 SENTIA 2015 TESLA: Jurnal Teknik Elektro TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Bumigora Information Technology (BITe) Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) Jurnal Pengabdian Polinema Kepada Masyarakat Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Journal of Mechanical and Electrical Technology Penamas: Journal of Community Service CONSEN: Indonesian Journal of Community Services and Engagement Jurnal ELTEK Jurnal Masyarakat Madani Indonesia MULTIPLE: Journal of Global and Multidisciplinary Kohesi: Jurnal Sains dan Teknologi Jurnal Multidisiplin Indonesia Jurnal Pengabdian Kepada Masyarakat
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Conditioning of Temperature and Soil Moisture in Chrysanthemum Cut Flowers Greenhouse Prototype based on Internet of Things (IoT) Fauziyah, Mila; Safitri, Hari Kurnia; Dewatama, Denda; Aulianta, Erdin
ELKHA : Jurnal Teknik Elektro Vol. 13 No. 1 April 2021
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v13i1.43078

Abstract

Currently, cut chrysanthemum cultivation in a greenhouse is still using a conventional system. Temperature and soil moisture are the most important factors in the growth process. If the temperature and humidity of the soil are not conditioned, the roots will quickly rot and slow the growth process of chrysanthemums. Internet of Things is an integrated system with a data-based server that stores data in the cloud from sensors so that the system can be monitored remotely in real-time. Based on this, an integrated system was designed to make it easier for farmers to condition the temperature and humidity of the chrysanthemum flower soil. In temperature conditioning, if the temperature of cut chrysanthemum is detected 24 ℃ then the heater will be "on" by adjusting the fan rotation and vice versa. Meanwhile, soil moisture conditioning is carried out by distributing water if the detected soil moisture is 50%, then the water pump is in the "on" state. The data on the degree of temperature and the percent of soil moisture will be recorded into the cloud which will then be displayed in the form of graphs and history data on the webserver and Android. By using this system, it is found that the growth process of cut chrysanthemums can grow 7 days faster than the standard harvest time of 30 days.
Optimalisasi Media Informasi Sekolah Melalui Pemasangan Display LED Di TK Noor Fadjar Malang Denda Dewatama; Fitri Fitri; Dinda Ayu Permatasari; Wahyu Tri Wahono; Arief Rahman Hidayat; Almas Adibah; Anindya Dwi Risdhayanti
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/5ws3jr46

Abstract

Implementasi running text LED sebagai media komunikasi sekolah di TK Noor Fadjar Malang untuk meningkatkan efektivitas diseminasi informasi yang cepat, ringkas, dan mudah dipahami. Metode pelaksanaan mengikuti siklus PDCA: (i) survei dan diskusi kebutuhan guna merumuskan spesifikasi teknis serta standar keterbacaan (struktur headline–inti–aksi, batas karakter, kecepatan scroll, dan kontras); (ii) perancangan arsitektur perangkat–perangkat lunak; (iii) instalasi sesuai kaidah keselamatan dan uji fungsional pada jam sibuk/lengang; (iv) pelatihan operator, penyerahan SOP dan templat konten; serta (v) evaluasi menggunakan kuisioner dan umpan balik lapangan. Evaluasi terhadap 23 responden (kelengkapan 100%) menunjukkan rerata keseluruhan 4,48 (SD 0,68); butir “Kejelasan informasi” mencapai 4,65 (kategori kuat), sedangkan “Membantu penyampaian informasi” 4,30. Hasil ini menegaskan mutu visual–redaksional yang baik, namun mengindikasikan perlunya peningkatan dampak informasional melalui optimasi struktur pesan, penguatan call-to-action (batas waktu/kanal tindak lanjut/QR), segmentasi audiens (guru–staf–orang tua), dan penjadwalan berbasis pola aktivitas. Kontribusi praktis artikel adalah paket implementasi siap replikasi (SOP, templat, prosedur fallback) serta rencana tindak lanjut berbasis indikator terukur yang menargetkan peningkatan butir “membantu” ≥ 4,60 dengan mempertahankan “kejelasan” ≥ 4,60. Temuan memberikan dasar evidensial bagi satuan pendidikan untuk mengadopsi media digital berbiaya terjangkau dalam meningkatkan kualitas komunikasi secara terukur dan berkelanjutan.
Design of Emergency Alarm System for Drowsiness Detection Using YOLO Method Based on Raspberry Pi Dinda Ayu Permatasari; Gillang Al Azhar; Muhammad Rifqi Zharfan; Anindya Dwi Risdhayanti; Arief Rahman Hidayat; Denda Dewatama
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 2 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.2.93201

Abstract

Drowsiness is one of the main factors causing traffic accidents that often lead to fatalities, as drowsy drivers lose concentration. Therefore, drowsiness detection in car drivers is very important to prevent accidents. In this research, an emergency alarm system for drowsiness detection using YOLO method based on Mini PC is designed. This drowsiness detection system uses a camera to take pictures of the driver's face and the YOLO algorithm to detect the eyes. If the driver's eyes are detected to be closed, the system will give a warning in the form of a buzzer, display on the LCD, and water spray to wake up the driver. Test results show that the system has an average accuracy rate of 88% under optimal lighting conditions and 66.8% under low lighting conditions. The system also records detection and response times for further analysis, demonstrating the ability to not only detect the driver's condition but also record the time of the event. The data results show that the system is capable of detecting “Awake”, “Drowsy”, and “Asleep” states with an accuracy rate of 80%, as well as providing effective warnings to the driver when it detects signs of drowsiness.
Digital Learning Transformation Training to Improve Teachers' Pedagogical Skills at SDN Tlogowaru 01 Malang: Pelatihan Transformasi Pembelajaran Digital Untuk Peningkatan Kemampuan Pedagogik Guru Di SDN Tlogowaru 01 Malang Adi Candra Kusuma; Dimas Rossiawan Hendra Putra; Herwandi Herwandi; Delila Cahya Permatasari; Imam Saukani; Denda Dewatama
CONSEN: Indonesian Journal of Community Services and Engagement Vol. 5 No. 2 (2025): Consen: Indonesian Journal of Community Services and Engagement
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/consen.v5i2.2150

Abstract

Teachers' ability in pedagogical competence must be improved. Teachers must always innovate in designing the learning process where learning is the main activity in the education process. Teachers are still found to use learning that is focused not on students. A big challenge for educators, especially elementary school teachers, is to be able to provide interesting and easily understood material for students. Through these challenges, every educator is required to be more creative in delivering material and attracting the attention of students. Observing the conditions that occur at SDN Tlogowaru 1, this activity aims to provide Digital Learning Transformation Training to Improve Teachers' Pedagogical Skills at SDN Tlogowaru 01 Malang. The training participants were 22 teachers with the Participatory Action Research (PAR) Method. The results of Community Service (PPM) activities increased teachers' knowledge and skills in creating interactive teaching materials through flipbook and scratch applications. Teachers are expected to be able to implement them into their learning in their respective classes. PPM participants gave a positive response of satisfaction of 16.36% Strongly agree, 82.73% Agree
Edge-aware coffee aroma classification using multi-representation feature extraction and LightGBM on Jetson Nano Denda Dewatama; Erni Yudaningtyas; Muhammad Fauzan Edy Purnomo; Setyawan Purnomo Sakti
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i4.pp2096-2105

Abstract

Objective coffee aroma evaluation remains challenging outside controlled laboratory settings, and most electronic nose studies neglect embedded deployment constraints. This work proposes an edge-aware coffee aroma classification framework that integrates multi-representation feature extraction with LightGBM and evaluates both predictive performance and computational efficiency. A six-sensor metal-oxide semiconductor (MOS) e-nose was developed, producing a balanced dataset of 1,080 trials from 12 aroma classes. Five feature representations were investigated, including baseline signals, autoencoder embeddings, and convolutional features derived from pseudo-image transformation. Experiments on an NVIDIA Jetson Nano using stratified five-fold cross-validation showed that residual-based representations significantly improved performance. The lightweight residual network achieved an accuracy of 0.9972 with low training time and memory usage. Pareto analysis confirms that optimal performance is achieved by balancing accuracy and resource constraints, thereby enabling reliable deployment in edge and IoT environments.
Implemantation of firefly algorithm on Arduino Uno Denda Dewatama; Oktriza Melfazen; Mila Fauziyah
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5362

Abstract

Not only getting the optimal solution of a problem, embedding the algorithm on the microcontroller is also expected to work optimally without burdening the system and fast response. Getting a microcontroller specification that matches the complexity of an algorithm is necessary so that the system can execute the algorithm perfectly. Values for the basic parameters of optimization algorithms inspired by nature such as the firefly algorithm (FFA) which are interpreted into variables greatly affect the performance of the microcontroller in obtaining the expected optimal solution. The observed performance of the Arduino Uno microcontroller in running the FFA includes execution time and memory capacity required to obtain optimal values based on changes in absorption coefficient, random parameters, iterations, and population. Changes in the absorption coefficient and random parameters affect the optimal value but do not significantly affect the execution time and memory capacity of Arduino Uno. Iteration changes greatly affect execution time and population changes most affect the performance of Arduino Uno. With a dynamic memory capacity of 2 Kb, the FFA can be run with a maximum range of 50 populations and up to 20 iterations.
Co-Authors Adhisuwignjo, Supriatna Adi Candra Kusuma Adi Candra Kusuma, Adi Candra Adimi, Akbar Roisul Agung Wicaksono, Rizki Agus Pracoyo Aini, Rosa Fitri Dwi Churil Alawity, M. Taqijuddin Alghufroni, Much. Ananda Fikri Ali Akbar Febritama, Muhammad Almas Adibah Anggita, Eriska Anindya Dwi Risdhayanti Anindya Dwi Risdhayanti Ari Murtono Arief Rahman Hidayat Arief Rahman Hidayat Aulianta, Erdin Bambang Priyadi Beauty Anggraheny I Beauty Anggraheny Ikawanty Brahma Ratih Rahayu Fakhrunnia Cahya, Delila Delila Cahya Permatasari Devira Anggi Maharani Devira Anggi Maharani Dian Ayu Widianti Dimas Rossiawan Hendra Putra Dwi Cahyani, Agustina Edi Sulistio Budi Ekasari, Silvia Rahmi Elanda Zahra, Euro Erdin Aulianta Erni Yudaningtyas Erni Yudaningtyas Firda Aini Zulafah Firmanda Gies Algiffari Fitri Fitri Gillang Al Azhar Gillang Al Azhar Gita Kartika Rizqofani Hafida Marwa Amaroh Hairus, Hairus Hamdan Cahyo Irianto Hari Kurnia S Hari Kurnia Safitri Hari Kurnia Safitri Hariyadi Singgih Hariyadi, Herman Hatta Mahakim Healthy Angelia Putri Herman Hariyadi Herman Hariyadi Ari Murtono Herwandi Herwandi Hidayah, Rizki Rohmatul Hijriah, Ayu Humaira, Nadia I Putu Ari Kristiawan Ilham Akbar Perdana Imam Saukani Indrazno Siradjuddin Jannah, Nur Kholifatu Kamajaya, Leonardo Kharis Sugiarto Komarudin Achmad Kurnia Safitri, Hari Luh Putu Ratna Sundari M. Taqijuddin Alawiy Mandayatma, Eka Marsa Atisobhita Mas Nurul Achmadiah Maulidiyah, Ayu Mila Fauziah Mila Fauziyah Mila Fauziyah Mila Fauziyah Mila Fauziyah Mohammad Luqman Muhamad Rifa'i Muhammad Fauzan Edy Purnomo Muhammad Rifqi Zharfan Mukhammad Bayu Riswan Maulana Nur Kholifatu Jannah Oktriza Melfazen Oktriza Melfazen Parastiwi, Andriani Patma, Tundung Subali PERMATASARI, DINDA AYU Prabasworo, Amtha Setio PURWANTI, DEVI NUSLIKA Putra, Dimas Rossiawan Hendra Ratna Ika Putri Rendi Pambudi Wicaksono Rizky Abdul Rakhman Rizky Agung Wicaksono Rizky Ramadhan Robby Chafidya Sembiring, Rinawati Setiawan, Budhy Setyawan Purnomo Sakti Sidik Nurcahyo Siswoko Siswoko Siswoko Siswoko Siti Nur Alima Subiyantoro Subiyantoro Wahyu Tri Wahono Wahyu Tri Wahono Wirawan Wirawan Dewantara, Bagus Yulianto Yulianto Yulianto Yulianto Zakiyah Amalia