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All Journal Riau Journal of Computer Science Journal of Education Technology JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum Jurnal Teknisi J-Com (Journal of Computer) Jurnal Ipteks Terapan : research of applied science and education Jurnal Bangun Abdimas Jurnal Informatika dan Teknologi Informasi Digital Transformation Technology (Digitech) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Teknologi Ilmu Komputer Jurnal Pengabdian Masyarakat (Jubdimas)
Muhammad Amin
Universitas Royal
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Pelatihan Penulisan Kalimat Efektif dan Penggunaan Tanda Baca untuk Meningkatkan Literasi Tulis Siswa Sekolah Dasar Sri Rezki Maulina Azmi; Muhammad Amin; Rika Nofitri
JUBDIMAS ( Jurnal Pengabdian Masyarakat) Vol 5 No 1 (2026): Artikel Pengabdian Maret 2026
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jubdimas.v5i1.406

Abstract

Kemampuan membaca dan menulis yang rendah menarik perhatian banyak kalangan masyarakat dan menjadi tantangan besar bagi pemerintah serta lembaga pendidikan karena ini dapat memengaruhi kualitas sistem pendidikan di Indonesia. SDN 09 Benteng sebagai salah satu mitra dalam pengabdian masyarakat mengalami penurunan kemampuan literasi di kalangan siswa-siswinya. Beberapa faktor penyebabnya termasuk terbatasnya akses ke sumber belajar yang memadai, minimnya variasi metode pengajaran, dan kurangnya pemanfaatan perpustakaan oleh guru serta siswa. Berdasarkan hal ini, fokus tim Pengabdian kepada Masyarakat (PKM) adalah menentukan strategi yang efektif dalam membangun minat literasi siswa di SDN 09 Benteng. Metode pelaksanaan program literasi dilakukan melalui serangkaian kegiatan seperti pengenalan huruf, praktik menulis secara bertahap, serta bimbingan membaca dan menulis yang disesuaikan dengan kemampuan masing-masing siswa dalam waktu 15 hingga 30 menit. Peserta program disesuaikan berdasarkan observasi dan laporan dari mitra. Secara keseluruhan, siswa yang berpartisipasi adalah dari kelas 2 hingga kelas 4 dengan total 12 siswa, dimana 4 siswa yang masih belum mahir dipilih untuk evaluasi. Melalui pelaksanaan program pembiasaan literasi di SDN 09 Benteng, siswa-siswi yang terlibat menunjukkan perubahan positif dengan menunjukkan inisiatif dan semangat untuk mengunjungi perpustakaan guna membaca buku, terutama pada siswa kelas 3.
Implementation of Deep Learning using Convolutional Neural Network Method and Yolo Algorithm in Rupiah Banknote Detection System Neni Mulyani; Ganefri; Sukardi; Muhammad Sabir Ramadhan; Muhammad Amin
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98189

Abstract

The application of deep learning has rapidly advanced across various sectors due to its ability to enhance effectiveness and efficiency in solving complex tasks. One promising implementation is in object detection, particularly in recognizing and identifying banknotes. This innovation is highly beneficial for individuals with visual impairments who often struggle to distinguish between currency denominations. Currently, people with vision loss still rely on manual techniques such as sorting by size or folding bills in specific patterns—methods that are inefficient and prone to error. This study developed a real-time banknote detection system using moving image input through a combination of Convolutional Neural Network (CNN) and the YOLOv4-tiny algorithm. The research employed a quantitative approach with software engineering methods and a Research and Development (R&D) design. The research subjects consisted of annotated digital images of the 2016 Indonesian Rupiah banknotes, comprising seven denominations and two image classes (front and back). A total of 1,260 images were used for training over 7,000 iterations, yielding a mean Average Precision (mAP) of 97.65%. Validation was conducted on 140 test images using cross-validation, resulting in an mAP of 97.5%. Additional evaluation was performed on banknotes in imperfect physical conditions (e.g., crumpled or folded), achieving an mAP of 88%. These findings indicate that the model demonstrates strong robustness under real-world conditions. Overall, the integration of CNN and YOLO in this system provides a practical solution for individuals with low vision to independently recognize Indonesian Rupiah banknotes, thereby enhancing financial accessibility and inclusion.
Machine Learning Implementation for Computer Network Performance Optimization Muhammad Sabir Ramadhan; Neni Mulyani; Muhammad Amin; Nizwardi Jalinus; Refdinal
Journal of Education Technology Vol. 9 No. 3 (2025): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i3.98191

Abstract

Increasingly evolving digital era, optimizing computer network performance has become a critical priority to support the demands of high-speed, reliable, and adaptive connectivity. This study explores the application of Machine Learning (ML) techniques as a strategic approach to enhancing network performance, with a focus on three key algorithms: Random Forest for detecting anomalies, Long Short-Term Memory (LSTM) for predicting network traffic patterns, and Deep Reinforcement Learning (DRL) for optimizing routing decisions. These algorithms were selected based on their respective strengths in handling complex, high-dimensional network data and their ability to adapt to dynamic conditions. The experimental results demonstrate that the implementation of ML can significantly improve key network performance metrics. Specifically, network throughput increased by up to 21.7%, latency was reduced by 27.1%, and the packet loss rate decreased by 62.2%. These improvements suggest that ML-based approaches offer a promising direction for achieving more intelligent and efficient network management. However, the study also highlights several challenges that must be addressed for broader adoption. These include the dependency on high-quality, real-time data; the computational overhead required for model training and deployment; and potential vulnerabilities related to cybersecurity threats. In addition, the interpretability and transparency of complex ML models remain areas requiring further exploration. Overall, this research contributes to the growing field of ML-driven network optimization and provides a foundation for future advancements in autonomous, adaptive, and secure networking systems. It opens up new possibilities for the development of next-generation communication infrastructures that are smarter, more resilient, and performance-oriented.
IMPLEMENTASI KARTU TANDA PENDUDUK SEBAGAI KUNCI LOKER HELM DI KAMPUS STMIK ROYAL KISARAN DENGAN MEMANFAATKAN NOTIFIKASI ANDROID Muhammad Amin; Ricki Ananda; Muhammad Hamdan Habib; Novita Novita
JURNAL TEKNISI Vol. 2 No. 2 (2022): Agustus 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v2i2.1108

Abstract

tepat, karena teknologi Kartu Tanda Penduduk  (KTP) mempunyai ketepatan yang tinggi dalam pencarian data. Menjaga dan meminimalisir hilangnya helm para mahasiswa-mahasiswi sangat penting untuk dilakukan, karena hal tersebut berpengaruh terhadap kenyaman para mahasiswa/mahasisiwi yang sedang melakukan kuliah. Selain itu ketika pengambilan Helm dilakukan, maka notifikasi pengiriman data kepenjaga atau penanggung jawab penitipan helm akan dikirimkan, sehingga ketika mahasiswa kampus mengalami kehilangan Kartu Tanda Penduduk (KTP) dan segera melapor ke pengelola, maka no Kartu Tanda Penduduk (KTP) tinggal dihapus dari sistem, atau pengelola pengaman helm tinggal memantau siapa  yang akan mengambil helm dari kartu Kartu Tanda Penduduk (KTP) tersebut. Setelah dirancang nya alat berupa lemari penyimpanan helm dengan sistem KTP, mendapati bahwa lemari yang dirancang memiliki 4 kotak yang cukup untuk menyimpan helm, dan dikendalikan 1 controller jenisnodemcu esp 8266. 
PENGGUNAAN SENSOR WATER LEVEL DAN SIRINE ALARM UNTUK MEMBACA KETINGGIAN AIR DENGAN MENGGUNAKAN TEKNOLOGI ARDUINO NANO Muhammad Amin; Ricki Ananda
JURNAL TEKNISI Vol. 3 No. 2 (2023): Agustus 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v3i2.1408

Abstract

The Silau River is one of the rivers that flows in Asahan. The Silau River flows on the outskirts of the city range which can be seen below the base of the titi, so it is clear that when the rainy season falls it results in a high volume of water, so that flooding can occur and this river continues to flow to the new Silo village, where the village has been 4 times experiencing flooding in four hamlets, where hamlet 1 is the first hamlet the water rises because it is near the coast, then if the water in hamlet 2 has reached 30 to 40 cm, then it is certain that the water in hamlet 1 has reached 1 meter. Therefore floods can occur at any time which can result in material losses and so on. So that researchers are interested in making a design for using water level sensors and sirens to detect water levels, where the working system of this tool will be when hamlet 1 starts to be flooded (sensor 1 designed by the tool has been passed by flood water), then the siren will turn on with a delay time x, so that people in hamlets 2,3 and 4 must be prepared to face flooding to minimize losses caused by flooding and if sensor 2 on the device design is flooded, then it indicates that the water in hamlet one has reached 1 meter, so residents in hamlets 1, 2, 3 and 4 It is mandatory to evacuate to anticipate casualtie
PERANCANGAN MESIN PEMISAH BIJI JAGUNG KERING PADA TONGKOLNYA DENGAN KECERDASAN BUATAN (ARTIFICIAL INTELLIGENCE) BERBASIS SISTEM TERTANAM Ricki Ananda; Muhammad Amin; Adi Mas Afandi
JURNAL TEKNISI Vol. 4 No. 1 (2024): February 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v4i1.1650

Abstract

Abstract: UD. Hasibuan is one of the businesses engaged in selling poultry feed for the surrounding city area. For poultry feed, the type of corn is usually dried corn taken from local farmers, and the process of separating the corn kernels and corn cobs is done manually (separated using a knife, one one by one) so that corn seed production is not optimal, plus the corn seed separator on the market is quite expensive. To overcome this, the researcher wanted to design a tool for separating corn kernels with cobs. This research used quantitative methods to find references for designing corn kernel separating machines. From the design results, it was found that the machine designed was made in the form of a small scale and a large scale, where each engine drive used a DC motor with 220VAC power, with a torque of 2800rpm, a current of 1.1A and a power of 125Watt, capable of separating dry corn from the cobs, by the help of a modified dividing axle on the engine. Apart from that, the machine works automatically, so that if there is corn to be separated, the artificial intelligence system or automatic system embedded in the system will be active, using an Arduino nano controller  with a 5Vdc voltage supply and an SFR 05 supporting sensor and a 1 channel relay module with supply. 5Vdc.            Keywords: Corn separator; Microcontroller; UD. Hasibuan Abstrak: UD. Hasibuan merupakan salah satu usaha yang bergerak dalam penjualan pakan unggas untuk wilayah kota kisaran sekitar, untuk pakan unggas jenis jagung biasanya untuk jagung kering diambil dari petani sekitar, dan proses pemisahan antara biji jagung dan tongkol jagung dilakukan secara manual (dipisahkan dengan menggunakan pisau, satu persatu) sehingga produksi biji jagung tidak maksimal, ditambah lagi alat pemisah biji jagung dipasaran kategori cukup mahal. Untuk mengatasi hal tersebut, maka peneliti ingin merancang sebuah alat pemisah biji jagung dengan tongkol nya, penelitian ini menggunakan metode kuantitatif untuk mencari refrensi perancangan mesin pemisah biji jagung. Dari hasil perancangan mendapati bahwa, mesin yang dirancang dibuat dalam bentuk scala kecil dan scala besar, dimana masing masing penggerak mesin menggunakan motor DC dengan daya 220VAC, dengan torsi 2800rpm, arus 1,1A dan daya 125Watt mampu untuk memisahkan jagung kering dari tongkolnya, dengan bantuan as pemisah yang dimodifikasi pada mesin. Selain itu mesin bekerja secara otomatis, sehingga jika ada jagung yang akan di pisahkan, sistem kecerdasan buatan atau sistem otomatis yang ditanamkan pada sistem akan aktif, dengan menggunakan controller  arduino nano dengan supply tegangan 5Vdc dan sensor pendukung SFR 05 dan modul relay 1 chanel dengan supply 5Vdc. Kata kunci: Pemisah jagung; Microcontroller; UD. Hasibuan
Pelatihan Pembuatan Pengaman Pintu Ruko dengan Kendali Android di CV Rifanta Tanjungbalai Ricki Ananda; Muhammad Amin
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 1 No. 2 (2021): Desember 2021
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v1i2.755

Abstract

Abstrack : CV Rifanta is a computer shop located on Jalan Anwar Idris, Datuk Bandar District, Tanjungbalai City. CV Rifanta currently has many customers, so many computer parts, laptops and printing machines are classified as objects that are still the target of theft by unknown persons. Based on this, the service carried out discusses the application of doors with an android control system, using the output of the door lock solenoid. The test results found that when the door lock solenoid is placed at the top, middle and bottom of the shop door, and is given an external voltage using a 5 VDC / 2A adapter, all solenoids are active or on when voltage is applied, and off when no voltage is applied. In addition, the remote control uses the HC-05 interface, so that when RX data is sent by TX via android with a distance of 10 meters, the data can still be read by the interface and android, as evidenced by the active output and serial display of the IDE monitor. Keywords : Door Guard; Selonoid Doorlock: CV Rifanta                            Abstrak : CV Rifanta merupakan salah satu toko komputer yang berada di Jalan Anwar Idris, Kecamatan Datuk Bandar, Kota Tanjungbalai. CV Rifanta saat ini memiliki banyak pelanggan sehingga banyak sperpart komputer, laptop dan mesin print yang tergolong kedalam benda yang masih jadi sasaran pencurian oleh oknum tidak dikenal. Berdasarkan hal tersebut, Pengabdian yang dilakukan membahas tentang pengaplikasian pintu dengan sistem kendali android, menggunakan output dari solenoid door lock. Hasil pengujian mendapati bahwa ketika solenoid door lock diletakan dibagian, atas, tengah dan bawah pintu ruko, dan diberi tegangan eksternal menggunakan adaptor 5 VDC / 2A  seluruh solenoid aktif atau on ketika diberi tegangan, dan off ketika tidak diberi tegangan. Selain itu kendali jarak jauh menggunakan interface HC-05, sehingga ketika data RX dikirimkan TX melalui android dengan jarak 10 meter, maka data masih bisa dibaca oleh interface dan android, dibuktikan dengan output yang aktif serta tampilan serial monitor IDE. Kata Kunci : Pengaman Pintu; Selonoid Doorlock; CV Rifanta 
Pengenalan Teknologi Microcontroller dengan Kompetensi Pembuatan Tong Sampah Pintar Pada Siswa Kelas XI SMKN 2 TanjungBalai Muhammad Amin; Ricki Ananda; Nofriadi Nofriadi; Hanif Muflih; Muhammad Arif
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 2 No. 2 (2022): Desember 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v2i2.1089

Abstract

Abstract: Waste is waste generated from a production process both industrial and domestic or household. The definition of waste according to Law Number 18 of 2008 concerning Waste Management That waste is the residue of daily human activities or natural processes in solid or semi-solid form, in the form of organic or inorganic substances that are biodegradable or non-biodegradable which are considered no longer useful and discharged into the environment. To anticipate that waste will not be thrown anywhere, usually each region in the form of work agencies, government and others prepare trash cans to dispose of the waste, such as at SMK Negeri 2 Tanjungbalai. Based on the results of field service, all students of SMK Negeri 2 Tanjungbalai are enthusiastic about taking part in microcontroller training, while from the results of testing the tool design, when the distance is less than 40 cm, the sensor will send data and the data will be compared by Arduino, and moves the servo from 100 to 100. 85 degrees. Meanwhile, if the angle change occurs, the output of the mini df player will be active and make a sound. For the overall voltage of the circuit, it uses a 5VDC voltage and is supplied from 2 adapters, namely from Arduino and external sources.            Keywords: Arduino, Microcontroller, SMK Negeri 2 Tanjungbalai, Smart Trash  Abstrak: Sampah adalah buangan yang dihasilkan dari suatu proses produksi baik industri maupun domestik atau rumah tangga. Adapun definisi sampah menurut Undang Undang Nomor 18 Tahun 2008 tentang Pengelolaan Sampah Bahwa Sampah adalah sisa kegiatan sehari-hari manusia atau proses alam yang berbentuk padat atau semi padat, berupa zat organik atau anorganik bersifat dapat terurai atau tidak dapat terurai yang dianggap tidak berguna lagi dan dibuang ke lingkungan. Untuk mengantisipasi agar sampah tidak dibuang kemana mana, biasanya tiap wilayah baik dalam bentuk instansi kerja, pemerintahan dan lainnya menyiapkan tong sampah untuk membuang sampah tersebut, seperti di SMK Negeri 2 Tanjungbalai. Berdasarkan hasil pengabdian dilapangan seluruh siswa SMK Negeri 2 Tanjungbalai antusias dalam mengikuti pelatihan micrcontroller, sementara dari hasil pengujian rancangan alat, ketika jarak kurang dari 40 cm maka sensor akan mengirimkan data dan data tersebut akan dibandingkan oleh arduino, dan menggerakan servo dari sudut 0 menuju sudut 100 derajat. Sementara jika perubahan sudut tersebut terjadi, maka output dari df player mini akan aktif dan mengeluarkan suara. Untuk tegangan keseluruhan rangkaian menggunakan tegangan 5VDC dan disupply dari 2 adaptor, yaitu dari sumber arduino dan luar. Kata Kunci: Arduino, Microcontroller, SMK Negeri 2 Tanjungbalai, Tong Sampah Pintar
WORKSHOP PELATIHAN PEMBUATAN TULISAN BERJALAN DI LED P10 DENGAN MENGGUNAKAN HD-W00 BAGI SISWA/I JURUSAN REKAYASA PERANGKAT LUNAK DI SMK KARYA UTAMA Ricki Ananda; Muhammad Amin; Nuriadi Manurung
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 3 No. 1 (2023): April 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v3i1.1361

Abstract

Abstract: Technological developments are growing every year, both in terms of social mobility, even in terms of educational development, seen from the development of educational media as practical aids or visual aids. This service uses a quantitative method,  the choice of this method was because the research team collected data to determine the theme or research topic, such as the lack of student work in the form of hardware  so that data is obtained in the form of student work products, at least in the form of hardware. The purpose of dedication to the main work of Private Vocational Schools, is to overcome the shortage of student work in the form of hardware by designing P10 LED products with W00. After doing this service, it can be concluded that the enthusiasm of the students in participating in the training activities can be seen from the many questions to the discussion of making the next product. The results of the service tool test show that sending data from Android to the HD-W00 module and LED P10, a maximum distance of 15 meters, with a voltage of 5VDC per LED P10 with a minimum current of 3A and using input from 12VDC / 3A power supply. Keywords: LED P10; modul HD-W00; SMK Swasta Karya Utama Abstrak: Perkembangan teknologi tiap tahunnya semakin berkembang, baik dari segi mobilitas sosial, bahkan dari segi perkembangan pendidikan, dilihat dari perkembangan media pendidikan alat peraktik atau alat peraga. Pengabdian ini menggunakan metode kuantitatif, pemilihan metode ini dikarenakan tim peneliti mengambil data untuk menentukan tema atau topik penelitian,  seperti minimnya produk hasil karya siswa dalam bentuk hardware. Tujuan dari pengabdian di SMK Swasta karya utama, untuk mengatasi minimnya hasil karya siswa dalam bentuk hardware dengan cara merancangkan produk led p10 dengna W00. Setelah dilakukannya pengabdian ini dapat disimpulkan antusiasnya para siswa dalam mengikuti kegiatan pelatihan, dilihat dari banyak nya pertanyaan sampai dengan pembahasan tentang pembuatan produk selanjutnya. Hasil dari pengujian alat pengabdian didapati bahwa pengiriman data dari android ke modul hd-w00 dan led p10, berjarak maksimal 15 meter, dengan tegangan 5VDC pertiap led p10 dengan arus minimal 3A dan mengunakan input dari power supply 12VDC/3A. Kata kunci: LED P10; modul HD-W00; SMK Private Karya Utama. 
DEVELOPMENT OF IOT-BASED MOTORCYCLE ELECTRICAL LEARNING MEDIA Ricki Ananda; Muhammad Amin; Febby Madonna Yuma; Adi Mas Afandi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/cj3tgy87

Abstract

Abstract: The development of Industry 4.0 toward Society 5.0 requires innovation in vocational learning media based on Internet of Things (IoT) for motorcycle electrical systems. This study aims to develop a learning media for real-time monitoring and fault diagnosis. The method used is Design Based Research (DBR) consisting of analysis, design, development, and testing stages. The system integrates an ADC voltage sensor (12.6 V normal; ADC ≈ 859 and 12.1 V weak; ADC ≈ 820), pull-up resistor switch detection (logic 0 = 0 V normal; logic 1 = 5 V fault), ACS712 current sensor (1.5 A lamp ON; ADC ≈ 568 and 0 A fuse fault; ADC ≈ 511), and INA219 charging sensor (14.0 V normal charging; ADCbus ≈ 3500 and 12.4 V not charging; ADCbus ≈ 3100). The results show that all sensors operate stably and accurately in detecting both normal and fault conditions. Integration into a web-based dashboard enables real-time monitoring via computers and smartphones. Therefore, the developed learning media effectively improves students’ understanding, visualization, and analytical skills in IoT-based motorcycle electrical systems. Keywords: ACS712; ADC; Design Based Research; INA219; IoT; Motorcycle Electrical System; Learning Media   Abstrak: Perkembangan Revolusi Industri 4.0 menuju Society 5.0 menuntut inovasi media pembelajaran vokasi berbasis Internet of Things (IoT) pada sistem kelistrikan sepeda motor. Penelitian ini bertujuan mengembangkan media pembelajaran untuk monitoring dan diagnosis kerusakan kelistrikan secara real-time. Metode yang digunakan adalah Design Based Research (DBR) melalui tahap analisis, perancangan, pengembangan, dan pengujian. Sistem menggunakan sensor ADC (12,6 V normal; ADC ≈ 859 dan 12,1 V lemah; ADC ≈ 820), pull-up resistor (logika 0 = 0 V normal; logika 1 = 5 V kerusakan), ACS712 (1,5 A lampu ON; ADC ≈ 568 dan 0 A saat sekring putus; ADC ≈ 511), serta INA219 (14,0 V charging normal; ADCbus ≈ 3500 dan 12,4 V tidak mengisi; ADCbus ≈ 3100). Hasil pengujian menunjukkan seluruh sensor bekerja stabil, akurat, dan sesuai fungsi dalam mendeteksi kondisi normal maupun fault pada sistem kelistrikan. Integrasi data sensor ke dashboard web memungkinkan pemantauan real-time melalui perangkat komputer dan smartphone. Dengan demikian, media pembelajaran yang dikembangkan efektif meningkatkan pemahaman, visualisasi, dan kemampuan analisis peserta didik pada sistem kelistrikan sepeda motor berbasis IoT.. Kata kunci: ACS712; ADC; Design Based Research; INA219; IoT; Kelistrikan Sepeda Motor; Media  Pembelajaran
Co-Authors Abda Abda Adi Mas Afandi Adi Mas Afandi Adi Syahputra Afdhal Syafnur AKMAL HUDHA TANJUNG Alfianda Alfianda Angel Bintang Masrina Arridha Zikra Syah Bintang Ramadhan Cecep Maulana Eska, Juna Febby Madonna Yuma Fifi Safitri Ganefri Hanif Muflih Hidayatullah Hidayatullah Iin Almeina Lubis Imam Al Amin Jeperson Hutahaean Jeperson Hutahaean Kifti, Wan Mariatul Lubis, Iin Almeina Muhammad Arif Muhammad Hamdan Habib Muhammad Iqbal Haitame Tambunan Nasrun Marpaung Nasution, Donni Neni Mulyani Nizwardi Jalinus Nofriadi Nofriadi Novianti Novianti Novita Novita Nuriadi Manurung Parini Parini phoeja Pristiyanilicia Putri Putri Anggraini Ramadhan, Muhammad Sabir Refdinal Ricki Ananda Ricki Ananda Rika Nofitri Risnawati Risnawati Rolly Yesputra Saifuddin Muhammad Jalil Santoso Santoso Saparuddin Saparuddin Siregar, Iqbal Kamil Siti Nurhaliza Sitorus Pane, Siti Fatimah Sri Rezki Maulina Azmi Sri Rezki Maulina Azmi Suci Sulistia Sudarmin Sudarmin Sukamto, Ika Sumiyarsi Sukardi Surya Hidayat Taufiq Widyanto Tika Christy USWATUN HASANAH Uswatun Hasanah Yessica Siagian