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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Semnastek Journal of Electrical Technology UMY Elektum : Jurnal Teknik Elektro RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Pengabdian Masyarakat Teknik Jurnal Ilmiah Teknik Elektro RENATA Jurnal Pengabdian Masyarakat Kita Semua Buletin Pos dan Telekomunikasi SNTE
Haris Isyanto
Teknik Elektro, Fakultas Teknik, Universitas Muhammadiyah Jakarta
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Desain Pembuatan Alat Pemantauan Temperatur dan Kelembaban dengan Menggunakan Teknologi LoRa Husnibes Muchtar; Haris Isyanto; Ichsan Prasetyo
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol 5, No 2 (2022): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.5.2.145-150

Abstract

ABSTRAKKecanggihan IoT (Internet of Things) membuat hal yang tidak mungkin menjadi mungkin. Menjangkau daerah yang lebih jauh dan memudahkan manusia dalam memantau keadaan, seperti keadaan pertanian, keadaan pabrik, pemantauan transportasi dan sampai kepada pemantauan keadaan hutan. LoRa (Long Range) adalah sebuah teknologi komunikasi masa kini dimana teknologi ini menggunakan radio frekuensi ISM (Industrial, Scientific, and Medical) yang tidak berlisensi yang tersedia diseluruh dunia. LoRa ini menggunakan data rate rendah dengan jangkauan jarak sangat luas. LoRa bisa digabungkan dengan protokol LoRaWAN, dimana alat LoRa dapat berkomunikasi melalui internet dan dapat menggunakan server the things network. Pada server inilah LoRa Node dan LoRa Gateway dapat dengan mudah dipantau koneksinya. Tidak hanya itu, dari data yang ditangkap oleh server dari LoRa Gateway ini dapat disambungkan kearah aplikasi pemantauan real-time yaitu MyDevice Cayenne. Aplikasi pemantauan ini memudahkan pengguna dalam membaca hasil dari LoRa Node yang berada dilapangan dalam hal ini pemantauan temperatur dan kelembaban. Tak hanya itu, hasil pemantauan temperatur dan kelembaban disertai dengan GPS sebagai titik lokasi dapat dipantau dengan jarak sampai 1 km dari titik LoRa Gateway. Pemantauan ini memiliki waktu jeda dalam mentransmisikan data dari LoRa Node menuju LoRa Gateway hingga 24 detik dengan keadaan LoS (Line of Sight) atau tanpa halangan dan hingga 30 detik dengan keadaan Obstacle atau adanya halangan.Kata Kunci : : LoRa, Radio Frekuensi, ISM, komunikasi jarak jauh, temperatur dan kelembaban, data rate, Line of Sight, Obstacle.ABSTRACT IoT (Internet of Things) make something that impposible to possible things. Reach further areas and make people easy to monitor the situation, such as agriculture, factory, monitor the transportation and even the forest. LoRa (Long Range) is a future communication technology where this technology use the frequency ISM (Industrial, Scientific, and Medical) which not license and available in the worldwide. This LoRa use low data rate which have a very far in range. LoRa can combined with LoRaWAN protocol, where LoRa tools can communicate over the internet and can use the things network server. In that server LoRa Node and LoRa Gateway can easily monitored. Beside that, from the data which captured by server LoRa Gateway can connected toward real time monitor application like a MyDevice Cayenne. This application easily users to read the result from LoRa Node on the area, in this case temperature and humidity monitoring. Beside that, temperature & humidity monitoring results accompanied with GPS as a location and can monitored until 1 km distance from LoRa Gateway. This monitoring have a delay on data transmission from LoRa Node to LoRa Gateway up to 24 seconds with LoS (Line of Sight) condition and up to 30 seconds with Obstacle condition.Keyword : LoRa, Radio Frequency, ISM, long distance communication, temperature and humidity, data rate, Line of Sight, Obstacle.
Fast and Accurate Voice Biometrics with Deep Learning Algorithm of CNN Depthwise Separable Convolution Model and Fusion of DWT-MFCC Methods Haris Isyanto; Ajib Setyo Arifin; Muhammad Suryanegara
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.24515

Abstract

Theft of private data became a threat of crime in cyberspace. This issue was in line with rapid development of data technology, especially online transactions. To attenuate this problem, voice biometrics was developed as an answer to keep up security identity. This paper develops the voice biometric framework based on Convolutional Neural Network Depthwise Separable Convolution (DSC) model and the fusion of Discrete Wavelet Transform (DWT) and Mel Frequency Cepstral Coefficients (MFCC). Such a scheme has targeted to increase the high accuracy, to reduce the burden of high computational costs and to speed up the performance of classification process time. We conduct three testing performance, i.e. voice Biometric Training Performance, speaker Recognition Performance (”Who is speaking?”), and Speech Recognition performance (”What keyword is uttered?”).  For each of the testing, the results are compared with CNN Standard performance. The training results has shown that CNN DSC model has reduced the amount of training parameters to 364,506, leading to accelerate the performance of training process time to 5.12 minutes. The results of speaker recognition performance has attained the best performance with an accuracy 99.25%, precision 97.14%, recall 98.17% and F1-score 97.28%. The results of speech recognition performance has been able to improve the best performance with accuracy 100%. It can be concluded that CNN DSC with the fusion of DWT- MFCC has outperformed the CNN Standard. The framework can be applied for the identification and verification of user voices accurately, quickly and efficiently for any applications requiring better security performance.
Design of Monitoring Device for the Process of Organic Waste Decomposition into Compost Fertilizer and Plant Growth through Smartphones based on Internet of Things Smart Farming Haris Isyanto; Jumail Jumail; Rahayu Rahayu; Nofian Firmansyah
Journal of Electrical Technology UMY Vol 5, No 2 (2021): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v5i2.12815

Abstract

Based on data published by the Ministry of Living Environment and Forestry in 2020, Indonesia produces at least 93,200 tons of waste per day in various types of composition or around 34 million tons of waste per year. From the collection of waste, it could be used as compost fertilizer which is taken from leaf waste. From these problems, a device was designed that could monitor the decomposition process of organic waste into compost fertilizer. This device is equipped with a temperature sensor, humidity sensor, sensor of soil pH, soil moisture sensor, and color sensor to monitor the composting fertilizer process. The device could also detect plant growth as an indication that the compost fertilizer made is in good condition. Our device was used on the Internet of Things (IoT) and the blynk application as a monitoring application. From the test results, the temperature sensor's accuracy is 98.2%, the humidity sensor is 96.1%, the soil pH sensor is 95.26%, the soil moisture sensor is 98.55%, and the color sensor successfully detects the results of plant growth well. The design of this device is expected to invite the public to be wiser in sorting waste and using it for the surrounding environment.
Design of Security System Device for Motorized Vehicles through the Telegram Messenger Application and Updating GPS Locations on Smartphones in Real Time with IoT-based Smart Vehicles Haris Isyanto; Husnibes Muchtar; Rasma Rasma; Adam Rasyid Dinata
Journal of Electrical Technology UMY Vol 6, No 2 (2022): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v6i2.16182

Abstract

Currently, the number of cases of motorized vehicle theft is increasing. Lack of double security, when left by the owner, is one of the factors that cause vehicles to be easily stolen. Based on these problems, we designed a motorized vehicle security system device that can monitor the condition and update the vehicle location with a smartphone through Global Positioning System (GPS). Furthermore, it can send an active alarm in the form of a buzzer alarm when there is an indication of the danger of vehicle theft. Furthermore, send notifications to the user so that the user immediately locks the vehicle by controlling it remotely in real-time through the Internet of Things (IoT)-based Smart Vehicle Security System using the Telegram Messenger Application and Google Maps (GMaps). The results of testing the response time show that the best performance is very responsive at 2.776 seconds in monitoring and controlling the vehicle. Moreover, the results of testing the vehicle distance position with GMaps and GPS obtained the best performance with a success rate percentage of 97.35% and an error rate percentage of 2.65%. It aims to make vehicle owners feel safe and comfortable and prevent motorized vehicle theft.
Rancang Bangun Sistem Pemantau Perkembangan Gerak Otot pada Penderita Stroke Berbasis IoT Husnibes Muchtar; Saeful Bahri; Haris Isyanto; Andhika Darmawan
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol 6, No 1 (2023): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.6.1.33-36

Abstract

Stroke adalah gangguan yang menyebabkan gangguan pada sistem saraf motorik. Ini adalah hasil dari distribusi darah ke otak. lebih dari 14 juta orang di dunia terkena penyakit stroke setiap tahunnya, Tujuan pembuatan alat ini adalah untuk memonitoring lebih lanjut terhadap pasien yang telah melakukan terapi pasca stroke untuk dilihat seberapa jauh perkembangan dari pasien tersebut yang nantinya akan ditampilkan dan dimonitoring menggunakan web, desain dari alat ini dengan memanfaatkan pembacaan dari sensor flex dan juga memanfaatkan koneksi dari IoT dengan menggunakan ESP32 yang dihubungkan dengan menggunakan Thingspeak dan juga monitoring langsung dengan menggunakan MIT App Inventor yang bisa dibaca langsung secara realtime, dengan objek penelitian menggunakan 4 jari dan juga dimonitoring secara berkala dalam jangka waktu kurang lebih 5 hari, dalam jangka waktu yang ditentukan dapat diketahui bahwa pergerakan dari otot jari pasien pasca stroke mengalami kenaikan dan penurunan karena belum stabilnya kekuatan otot dari pasien pasca stroke,untuk memenuhi hasil monitoring yang maksimal diharapkan bagi pasien memonitoring lebih lanjut dengan skala berkala untuk mengetahui hasil monitoring yang menyeluruh dalam jangka waktu yang cukup, hingga si-pasien dinyatakan cukup pulih.Kata kunci: Stroke, ESP32, Sensor FlexStroke is a disorder that causes disturbances in the motor nervous system. It is a result of the distribution of blood to the brain. more than 14 million people in the world suffer from strokes each year. The purpose of making this tool is to further monitor patients who have undergone post-stroke therapy to see how far the progress of these patients will be displayed and monitored using the web, the design of the tool this by utilizing readings from flex sensors and also utilizing connections from IoT using ESP32 which is connected using Thingspeak and also direct monitoring using the MIT App Inventor which can be read directly in realtime, with research objects using 4 fingers and also monitored periodically over a long period of time. approximately 5 days, within the specified timeframe it can be seen that the movement of the finger muscles of post-stroke patients has increased and decreased due to the unstable muscle strength of post-stroke patients, to fulfill the maximum monitoring results expected for patients with further monitoring on a regular scale to find out the results of comprehensive monitoring in a sufficient period of time, until the patient is declared sufficiently recovered.Keywords: Stroke, ESP32, Sensor Flex
Wattmeter Digital Berbasis Internet of Things Haris Isyanto; Muhammad Didi Setiawan
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol 6, No 1 (2023): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.6.1.25-32

Abstract

ABSTRAKPeran rumah tangga mempunyai peran penting pada kebutuhan energi pada peralatan listrik maupun elektronik. Dimana pemakaian suatu daya listrik bersifat induktif yang dapat menimbulkan gelombang arus yang berlebih terhadap gelombang tegangan. Dalam penelitian ini dilakukan perancangan wattmeter digital berbasis internet of things untuk melakukan pengujian peralatan dengan parameter tegangan, arus, daya, energi, dan factor daya. Selanjutnya peralatan yang diukur berupa peralatan listrik seperti hair dryer, dan motor listrik 1 fasa, sedangkan pada peralatan elektronik berupa beban komputer. Pengujian yang didapatkan berupa persentase error, dan keberhasilan pengukuran pada peralatan. Hasil yang didapatkan persentase error computer sebesar 3,60%, motor listrik sebesar 3,25%, dan hair dryer sebesar 0,80%. Sedangkan keberhasilan pengukuran peralatan computer didapatkan rata-rata 96,40%, motor listrik 96,75%, dan hair dryer 99,20%. Kata kunci : wattmeter digital, internet of things, daya, energi listrik, faktor dayaABSTRACTThe role of household has an important role in the energy needs of electrical and electronic equipment. Where the use of electric power is inductive which can cause an excessive current wave to the voltage wave. In this study, an internet of things-based digital wattmeter was designed to test equipment with parameters of voltage, current, power, energy, and power factor. Furthermore, the equipment measured is in the form of electrical equipment such as a hair dryer and a single-phase electric motor, while electronic equipment is a computer load. The tests obtained are in the form of percentage errors, and the success of measurements on the equipment. The results obtained are the percentage of computer errors of 3.60%, electric motors of 3.25%, and hair dryers of 0.80%. While the success of measuring computer equipment obtained an average of 96.40%, 96.75% electric motor, and 99.20% hair dryer.Keywords: digital wattmeter, internet of things, power, electrical energy, power factor
Accurate, Fast and Low Computation Cost of Voice Biometrics Performance using Model of CNN Depthwise Separable Convolution and Method of Hybrid DWT-MFCC for Security System Haris Isyanto; Ibrahim, Wahyu; Samsinar, Riza
Buletin Pos dan Telekomunikasi Vol. 22 No. 1 (2024): June 2024
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.v22i1.393

Abstract

Identity theft, a pervasive criminal risk in the digital realm, particularly in online transactions, demands innovative security solutions. Voice biometrics, a cutting-edge technology, have been developed to ensure the protection of one's identification. This study, a significant step forward, focuses on the development of voice biometrics using deep learning, specifically CNN Depthwise Separable Convolution (DSC) and CNN Residual. The research on these two systems was conducted to determine accuracy, performance evaluation, computing load, and training process time for effectively, rapidly, and accurately verifying user voice for banking transaction security. The initial CNN residual test yielded a high validation accuracy of 98.6345%. However, the large number of CNN residual parameters resulted in a training time of 7.37 seconds, increasing the computational workload. The second CNN DSC test exhibited a high validation accuracy of 98.3542%. The CNN DSC was successful in decreasing the parameter count, resulting in a reduction of 5.12 seconds in training time. Upon analyzing the test results, it is clear that the CNN DSC has superior performance, resulting in faster training times and less memory consumption. This effectively addresses the problem of high computational costs and significantly enhances user identity security in banking transactions, a crucial aspect of modern banking.
Rancang Bangun Web Profile Taman Pendidikan Al-Qur’an (TPA) Raudhatul Atfal (RA) dan Madrasah Ibtidaiyah (MI) di Yayasan Baitul Ulum Samsinar, Riza; Isyanto, Haris; Risanty, Rita Dewi; Nelfiyanti, Nelfiyanti; Pasha, Saddam Zachwa; Putra, Indra Meiza
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 2 No. 2 (2024): Renata - Agustus 2024
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.55

Abstract

Website adalah teknologi informasi yang digunakan oleh berbagai lembaga untuk menyebarkan informasi dan mempromosikan diri mereka. Salah satunya adalah sekolah Yayasan Baitul Ulum Al-Hidayah Kalianda Lampung Selatan saat ini belum mempunyai website yang digunakan sebagai media informasi, Pendaftaran PPDB dan promosi. Hal ini menimbulkan tantangan bagi kedua pihak, masyarakat dan sekolah. Masyarakat harus datang ke sekolah untuk mendapatkan informasi tentang sekolah, dan sekolah tidak memiliki media yang diperlukan untuk mempromosikan sekolah. Oleh sebab itu tim pengabdi mengadakan kegiatan pengabdian yang bertujuan untuk membantu pihak  sekolah dalam membuat website yang dapat digunakan sebagai media informasi, pendaftaran PPDB dan promosi. Kegiatan ini kami bagi dalam tahap pertama yakni rancang bangun Rancang Bangun Web Profile Taman Pendidikan Al-Qur’an (TPA) Raudhatul Atfal (RA) Dan  Madrasah  Ibtidaiyah (MI) Di Yayasan Baitul Ulum Al-Hidayah Kalianda. Pada tahap ini kami tim pengabdian masyrakat dengan metode tahap awal berupa rancangan bangun pembuatan website dan pelatihan dalam pengelolaan website. Aplikasi dalam pembuatan website dengan menggunakan alat bantu dengan PHP, Visual Studio Code, Sql dan Xampp. Pada tahap ini dibagi menjadi empat tahapan yaitu Tahapan pengamatan dan wawancara, tahapan desain rancang bangun, tahapan perancangan perangkat lunak dan tahapan ujicoba evaluasi. Hasil dari rancang bangun web profil sudah berjalan dengan baik, dengan hasil yang baik, Dimana hasil halaman utama Yayasan yang terdiri dari menu-menu dan dari menu-menu profil sekolah, di tampilkan dengan menu-menu dari masing-masing Pendidikan yakni Taman Pendidikan Al-Qur’an (TPA) Raudhatul Atfal (RA) dan Madrasah  Ibtidaiyah (MI). pada tiap menu Pendidikan disertakan menu PPDB yakni form pendaftaran PPDB.
Sistem Monitoring Mendeteksi Mata Lelah Pada Pengemudi Kendaraan Besar Berbasis Pengolahan Citra Samsinar, Riza; Isyanto, Haris; Almanda, Deni; Amrullah, Fachri
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol 7, No 1 (2024): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.7.1.77-84

Abstract

ABSTRAKSistem pendeteksi kantuk yang akan di proses dengan pengolahan citra, dengan di bangunnya suatu alat untuk mendeteksi secara dini mungkin untuk si pengemudi. Sehingga saat pengemudi mengedarai truk logistik, yang sering terjadi pada malam hari, situasi seperti ini harus diperhitungkan untuk menghindari kecelakaan yang disebabkan oleh kelelahan, kelelahan yang menimbulkan rasa kantuk. Karena permasalahan tersebut, diperlukan alat untuk mendeteksi secara otomatis apakah pengemudi sedang tertidur atau sadar dengan menggunakan metode facial landmark. Proses awal dimulai dengan streaming kamera dengan webcam, yang diproses oleh webcam yang terpasang pada mikrokontrol raspberry pi3 dan sensor gerak. mendeteksi area wajah menggunakan algoritma eye aspect ratio yang diolah pada proses pengolahan citra yang tertangkap webcam, kemudian digunakan algoritma eye ratio untuk melaporkan mata mengantuk dalam bentuk output. terdeteksi oleh speaker, speaker mengeluarkan suara yang dapat diubah sesuai keinginan pengemudi. Alat ini dibangun untuk pendeteksi otomatis secara dini, dan hasil algoritma dengan pengolahan citra pada steraming webcam. pengujian algoritma deteksi kantuk, didapatkan akurasi deteksi sebesar 92%, dengan tingkat false positives sekitar 7% dan false negatives sekitar 3%. Hal ini menunjukkan bahwa algoritma yang diimplementasikan mampu secara efektif mengidentifikasi tanda-tanda kantuk pada wajah pengemudi.Kata Kunci : Citra Digital, Landmark, Python, Web ServiceABSTRACTA sleepy detection system that will be processed with image processing, with in-built a tool for early detection possible for the driver. So when drivers ride logistics trucks, which often happen at night, situations like this must be taken into account to avoid accidents caused by fatigue, fatigue that causes drowsiness. Because of the problem, a tool is needed to automatically detect whether the driver is asleep or awake using the facial landmark method. The initial process began with streaming cameras with a webcam, which was processed by a webcam attached to the raspberry pi3 microcontroller and motion sensor. It detected the area of the face using the eye aspect ratio algorithm processed on the processing of images captured by the webcam, then used the eye ratio algoritm to report sleepy eyes in the form of outputs. detected by the speaker, the speakers make a sound that can be modified according to the driver's wishes. This tool is built for automatic early detection, and algorithm results with image processing on webcam steaming. Testing a sleep detection algorithm, achieved a detection accuracy of 92%, with a rate of false positives of about 7% and false negatives of about 3%. This shows that the algority implemented is able to effectively identify signs of sleep on the driver's face..Keywords : Digital Images, Facial Landmarks, Python, Web Services
Perancangan Alat Pembersih Panel Surya Berbasis Internet of Things Isyanto, Haris; Batubara, Muhammad Azra Komara; Almanda, Deni
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol 6, No 2 (2023): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.6.2.125-132

Abstract

ABSTRAKFactor yang mempengaruhi penurunan kinerja panel surya berupa debu, pasir-pasir, kotoran dan lainnya. Partikel yang menempel pada panel surya diakibatkan pada pergerakan angin yang dapat mengenai permukaan panel surya. apabila partikel menempel luas permukaan maka intensitas matahari yang masuk akan terhalangi oleh parikel. Sehingga akan mengurangi daya yang dihasilkan. Dalam penelitian ini merancang alat pembersih panel surya untuk mengukur kinerja panel surya berupa tegangan, arus, daya berbasis internet of things. Pengujian yang dilakukan berupa pengujian kinerja selisih sebelum, dan sesudah dibersihkan. Persentase error dan keberhasilan pengukuran pada tegangan, arus, dan daya panel surya. hasil didapatkan bahwa tegangan sebelum pembersihan sebesar 12,11 V, arus 0,45 A, 5,5 Watt. Kemudian setelah dilakukan pembersihan didapatkan nilai tegangan sebesar 12,87 V, arus 1,76 A, dan daya 22,65 Watt. Selanjutnya persentase error pengukuran didapatkan rata-rata tegangan sebesar 0.80%, arus 3.14%, dan daya 3.92%. sedangkan persentase keberhasilan pengukuran didapatkan rata-rata tegangan 99.20%, arus 96.86%, daya 96.08%.Kata kunci : internet of things, panel surya, persentase error, persentase keberhasilanABSTRACTFactors that affect the performance of solar panels from dust, sand, dirt, and others. Particles attached to the solar panel are caused by the movement of the wind that can hit the surface of the solar panel. If the particles stick to the surface area, the intensity of the incoming sun will be blocked by the particles. This will reduce the power generated. This study, designing a solar panel cleaning tool to measure the performance of solar panels in the form of voltage, current, and power based on the internet of things. Tests were carried out in the form of performance testing the difference before, and after cleaning. Percentage of error and success of measurements on voltage, current, and solar panel power. The results showed that the voltage before cleaning was 12.11 V, current 0.45 A, 5.5 Watt. Then after cleaning, the voltage value is 12.87 V, the current is 1.76 A, and the power is 22.65 Watt. Furthermore, the percentage of measurement error obtained an average voltage of 0.80%, current of 3.14%, and power of 3.92%. while the percentage of successful measurements obtained an average voltage of 99.20%, current 96.86%, and power 96.08%.Keywords: internet of things, solar panels, error percentage, success percentage
Co-Authors Adam Rasyid Dinata Adhimukti Nandiwardhana Agustin, Rizky Ahmad Rizky Ajib Setyo Arifin Akhmad Solikhin Amrullah, Fachri Andhika Darmawan Andri Syahrul Wahid Aprinol Aprinol, Aprinol Batubara, Muhammad Azra Komara Birawan, Heru Budiyanto Budiyanto Dedy Hidayat Deni Almanda Deni Almanda Deni Almanda Dwi Arsito Erwin Dermawan Fadliondi Gassardi , Muhammad Fachry Helmy Fahmiansyah Hendro Purwono Henry Candra Husnibes Muchtar Husnibes Muchtar Husnibes Muchtar Ibrahim, Wahyu Ichsan Prasetyo Irfan Purnawan Purnawan Jaenudin, Irwan Jati Waloya, Jati Jefri Burhan, Jefri Jumail Jumail Jumail Jumail Moh. Arif Hidayatulloh Muhamad Mursid Nur Ichsan, Muhamad Mursid Muhammad Didi Setiawan Muhammad Suryanegara Muhammad Syahrullah N Nelfiyanti Nofian Firmansyah Nugroho, Ardan Adhi Nurchosid Nurchosid, Nurchosid Pasha, Saddam Zachwa Prian Gagani Prian Gagani Chamdareno Puji Mashuri Putra, Indra Meiza Rahayu Rahayu Rasma Rasma Rasma Rasma Risanty, Rita Dewi Rita Dewi Risanty Riza Samsinar Saeful Bahri Samsinar, Riza Wahyu Ibrahim Wahyu Ibrahim Zata Aqmarina Meilisha