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Journal Of Computer Engineering And Information Technology
Published by Karya Techno Solusindo
ISSN : -     EISSN : 3089106X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mechanical Engineering
Journal of Computer Engineering and Information Technology (JCEIT) published by karya Techno Solusindo which has been published since 2024. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of computer science. Journal of Computer Engineering and Information Technology (JCEIT) is consistently published two times a year in July and January. This journal covers original article in computer science that has not been published. The article can be research papers, research findings, review articles, analysis and recent applications in computer science. The scope of Journal of Computer Engineering and Information Technology (JCEIT) covers, but is not limited to the following areas: 1. Software engineering 2. Information System 3. Data Mining 4. Image Processing 5. Digital Forensics 6. Artificial Intelegence 7. Decision Support System
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 25 Documents
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Implementation Of Machine Learning For Web-Based Stroke Probability Prediction Zuhaira Agustari; Roberto Kaban; Safarul Ilham
JCEIT: Journal of Computer Engineering and Information Technology Vol. 2 No. 1 (2025): JCEIT: Journal of Computer Engineering and Information Technology (Nov 2025)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v2i1.36

Abstract

In an effort to enhance early detection and prevention of stroke, the implementation of web-based machine learning provides a promising solution. This study focuses on applying machine learning algorithms to predict the likelihood of stroke occurrence based on patient medical data collected online. By using the developed prediction model, the system efficiently analyzes historical data and health risk factors to provide stroke risk estimates. This implementation aims to improve diagnostic accuracy, enable better early detection, and offer appropriate preventive recommendations. The results of this study are expected to assist healthcare professionals and patients in stroke prevention efforts through the utilization of web-based technology. REFERENCES Akmaluddin, M., & Dewayanto, T. (2023). Systematic Literature Review: Implementasi Artificial Intelligence dan Machine Learning pada bidang akuntansi manajemen. Diponegoro Journal of Accounting, 12(4), 1–11. http://ejournal-s1.undip.ac.id/index.php/accounting Byna, A., & Basit, M. (2020). Penerapan Metode Adaboost untuk Mengoptimasi Prediksi Penyakit Stroke dengan Algoritma Naïve Bayes. 09(November), 407–411. Cahyono, D. S., Nugrahanti, F., & Hendrawan, A. T. (2019). Aplikasi pemasaran berbasis website pada percetakan Morodadi Komputer Magetan. Prosiding Seminar Nasional Teknologi Informasi dan Komunikasi (SENATIK), 2(1), 129–134. Fahrizal, Reynaldi, F. O., & Hikmah, N. (2020). Implementasi machine learning pada sistem pets identification menggunakan Python berbasis Ubuntu. JISICOM (Journal of Information System, Informatics and Computing), 4(1), 86–91. Hasibuan, E., Informasi, S., Ilmu, F., Informasi, T., Gunadarma, U., Margonda, J., No, R., Cina, P., & Jawa, D. (2022). Implementasi machine learning untuk prediksi harga mobil bekas dengan algoritma regresi linear berbasis web. Jurnal Ilmiah Komputasi, 21(4), 595–602. https://doi.org/10.32409/jikstik.21.4.3327 Igfirly Mustaib, R., Dwiyansaputra, R., Muaidi, M., Desa Sandik Jl Pariwisata, K., & Layar, B. (n.d.). Sistem informasi company profile Kantor Desa Sandik berbasis website (Website based information system of company profile for Sandik Village). Kusuma, A. S., & Nita, S. (2019). Rancang bangun media pembelajaran pengenalan tumbuhan bagi penyandang tuna rungu pada SDLB Manisrejo Kota Madiun. Seminar Nasional Teknologi Informasi dan Komunikasi 2019, 281–286. Metode, M., Di, R. A. D., & Ahmad, S. (2022). No Title, 11(1), 79–85. Prediksi, A., Stroke, D., & Pendekatan, D. (2022). Analisis prediksi deteksi stroke dengan pendekatan EDA dan perbandingan algoritma machine learning. 02, 355–367. Purwono, P., Dewi, P., Wibisono, S. K., Dewa, B. P., Informatika, P., Bangsa, U. H., Keperawatan, P., & Bangsa, U. H. (2022). Model prediksi otomatis jenis penyakit hipertensi dengan pemanfaatan algoritma machine learning Artificial Neural Network. 7(2), 82–90. Putra, A. I., & Santika, R. R. (2020). Implementasi machine learning dalam penentuan rekomendasi musik dengan metode Content-Based Filtering. Edumatic: Jurnal Pendidikan Informatika, 4(1), 121–130. https://doi.org/10.29408/edumatic.v4i1.2162 Stacyana Jesika, S., Ramadhani, S., & Putri, Y. P. (2023). Implementasi model machine learning dalam mengklasifikasi kualitas air. Jurnal Ilmiah dan Karya Mahasiswa, 1(6), 382–396. https://doi.org/10.54066/jikma.v1i6.1162 Ula, M., Ulva, A. F., & Mauliza, M. (2021). Implementasi machine learning dengan model Case Based Reasoning dalam mendiagnosa gizi buruk pada anak. Jurnal Informatika Kaputama (JIK), 5(2), 333–339. https://doi.org/10.59697/jik.v5i2.267 Utama, T. P., & Haibuan, M. S. (2023). Penerapan algoritma Naïve Bayes dan Forward Selection untuk prediksi penyakit stroke. 17, 351–357.  
The Effect of Social Media Use on Student Learning Motivation at Era Utama Pancur Batu High School ginting, modesta; Kaban, Roberto
JCEIT: Journal of Computer Engineering and Information Technology Vol. 2 No. 1 (2025): JCEIT: Journal of Computer Engineering and Information Technology (Nov 2025)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v2i1.37

Abstract

Social Media comes with a positive impact and negative impact, epsecially among students and this impact will arise when used excessively. The misuse of social media also often appears in print media in which there is a picture of ironic events and is very different from the main purpose of social media. The worst impact of Facebook’s influence is the declining student learning outcomes. Social Media is a social network that is now increasingly popular and the number of member has increased sharply in a short time. The main task of students is to study and learn, because adolescence is a transitional period that wants to be observed. REFERENCES Agustiah, D., Fauzi, T., & Ramadhani, E. (2020). Dampak penggunaan media sosial terhadap perilaku belajar siswa. Islamic Counseling: Jurnal Bimbingan dan Konseling Islam, 4(2), 181–190. https://doi.org/10.29240/jbk.v4i2.1555 Anggarefni, D. (2012). Dampak kegiatan mengakses Facebook terhadap prestasi belajar siswa kompetensi keahlian jasa boga kelas XI di SMK N 3 Wonosari [Skripsi, Universitas Negeri Yogyakarta]. Fakultas Teknik, Jurusan Pendidikan Teknik Boga. https://repository.uny.ac.id/ Anjaskara, I. (2016). Pengaruh sikap media sosial Instagram terhadap minat beli produk kecantikan melalui Instagram (Studi kasus pada konsumen terhadap minat beli melalui situs Instagram) [Skripsi, Universitas Muhammadiyah Yogyakarta]. Fakultas Ilmu Sosial dan Ilmu Politik, Jurusan Ilmu Komunikasi. https://repository.umy.ac.id/ Feranita. (2017). Pengaruh media sosial Facebook terhadap hasil belajar Akidah Akhlak di MA Syamsul Ulum Kota Sukabumi Jawa Barat [Skripsi, IAIN Raden Intan Lampung]. Fakultas Tarbiyah dan Keguruan. https://repository.radenintan.ac.id/ Gifary, S., & Kurnia, I. N. (2015). Intensitas penggunaan smartphone terhadap perilaku komunikasi. Jurnal Sosioteknologi, 12(2), 170–178. https://doi.org/10.5614/sostek.itbj.2015.12.2.7 Helmi, & Agustina, N. A. (2017). Pengaruh penggunaan gadget terhadap hasil belajar siswa di Sekolah Dasar Negeri 1 Loktabat Utara Kecamatan Banjarbaru. Jurnal Pahlawan, 10(1), 1–12. https://ojs.uniska-bjm.ac.id/index.php/pahlawan/article/view/364 Hudaya, A. (2018). Pengaruh gadget terhadap sikap disiplin dan minat belajar peserta didik. Journal of Education, 4(2), 86–97. https://doi.org/10.31227/osf.io/3phz7 Istiarini, R. (2012). Pengaruh sertifikasi guru dan motivasi kerja guru terhadap kinerja guru SMA Negeri 1 Sentolo Kabupaten Kulon Progo tahun 2012. Jurnal Pendidikan Akuntansi Indonesia, 10(1), 98–113. https://doi.org/10.21831/jpai.v10i1.923 Manumpil, B., Ismanto, Y., & Onibala, F. (2015). Hubungan penggunaan gadget dengan tingkat prestasi siswa di SMA Negeri 9 Manado. Ejournal Keperawatan (e-Kep), 3(2), 1–6. https://ejournal.unsrat.ac.id/index.php/jkp/article/view/9126 Mariskhana, K. (2018). Dampak media sosial (Facebook) dan gadget terhadap motivasi belajar. Jurnal, 16(1), 62–67. https://ejurnal.lppmunsera.org/index.php/Jurnal/article/view/127 Oktiani, I. (2017). Kreativitas guru dalam memotivasi peserta didik. Jurnal Kependidikan, 5(2), 216–232. https://doi.org/10.24090/jk.v5i2.1934 Rahmandani, F., Tinus, A., & Ibrahim, M. M. (2018). Analisis dampak penggunaan gadget (smartphone) terhadap kepribadian dan karakter (KEKAR) peserta didik di SMA Negeri 0 Malang. Jurnal Civic Hukum, 3(1), 18–44. https://doi.org/10.22219/jch.v3i1.5302 Sardiman. (2011). Interaksi dan motivasi belajar mengajar. Jakarta: PT Raja Grafindo Persada. Setiadi, A. (2016). Pemanfaatan media sosial untuk efektivitas komunikasi. Cakrawala: Jurnal Humaniora, 16(2), 87–98. https://doi.org/10.31294/jc.v16i2.1816 Sugiyono. (2016). Metode penelitian kuantitatif, kualitatif, dan R&D. Bandung: Alfabeta.
Application of The FR-04 Sensor for Automatic and Energy-Saving Clothesline Roof Control Buulolo, morina
JCEIT: Journal of Computer Engineering and Information Technology Vol. 2 No. 1 (2025): JCEIT: Journal of Computer Engineering and Information Technology (Nov 2025)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v2i1.38

Abstract

The application of the FR-04 sensor for automatic and energy-saving clothesline roof control is based on problems that people who have clothesline, so that dry clothes become wet with rainwater when the occupants of the house are outside the house. This system uses an FR-04 sensor to detect rain and an Arduino Uno microcontroller to control the Stepper Motor which opens and closes the clothesline roof. It is hoped that the creation of an automatic clothes drying roof design will help people reduce their anxiety when drying clothes in the rainy season. REFERENCES Hafidhin, M. I., Saputra, A., Rahmanto, Y., & Samsugi, S. (2020). Alat penjemuran ikan asin berbasis mikrokontroler Arduino UNO. Jurnal Teknik dan Sistem Komputer, 1(2), 59–66. https://doi.org/10.33365/jtikom.v1i2.210 Arfianto, D. (2021). Prototipe jemuran otomatis dengan sensor hujan, LDR berbasiskan Arduino Uno R3 dan sistem monitoring menggunakan aplikasi Blynk. Seminar Nasional Manajemen, Informatika, dan Komputer (SENAMIKA), 269–277. https://ejurnal.teknokrat.ac.id/index.php/senamika/article/view/1230 Mustar, R. O. W. M. Y. (2017). Implementasi sistem monitoring deteksi hujan dan suhu berbasis sensor secara real time. Semesta Teknik, 20(1), 20–28. https://jurnal.umj.ac.id/index.php/semesta/article/view/1865 Kencana, W., A. G. A. T. H. A., & Dan, F. T. I. (2020). Rancang bangun alat otomatis hand sanitizer dan ukur suhu tubuh mandiri untuk pencegahan Covid-19 berbasis IoT. Jurnal Transit, (September), 1–6. https://ojs.trigunadharma.ac.id/index.php/transit/article/view/1226 Fedianto, M. H. S., Aditiawan, F. P., & Al Haromainy, M. M. (2023). Pengujian sistem jaringan dokumentasi dan informasi menggunakan black box testing dan white box testing. Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis, 3(1), 213–221. https://doi.org/10.55606/jupsim.v3i1.2447 Putra, A. P., & Wicaksono, D. (2022). Perancangan sistem jemuran otomatis berbasis Internet of Things menggunakan sensor FR-04 dan NodeMCU ESP8266. Jurnal Teknologi dan Sistem Terkini, 3(2), 101–110. https://doi.org/10.33365/jtst.v3i2.1142 Alfiansyah, M. N., & Nugroho, A. (2023). Automatic clothesline control system using rain and light sensors for energy efficiency. International Journal of Electrical and Computer Engineering (IJECE), 13(1), 657–665. https://doi.org/10.11591/ijece.v13i1.pp657-665 Li, X., Wang, S., & Zhao, Y. (2022). Smart IoT-based rain detection and automatic awning control system for household energy saving. Sensors, 22(14), 5318. https://doi.org/10.3390/s22145318 Taufik, M., & Rachman, A. (2021). Rancang bangun sistem atap jemuran otomatis menggunakan sensor hujan FR-04 berbasis Arduino Uno. Jurnal Teknik Elektro dan Komputer, 10(3), 112–119. https://doi.org/10.33369/jtekkom.v10i3.1789 Jadhav, R. S., & Deshmukh, P. B. (2020). Design and development of an automated clothes drying system using IoT and environmental sensors. International Research Journal of Engineering and Technology (IRJET), 7(5), 3172–3178. https://www.irjet.net/archives/V7/i5/IRJET-V7I5661.pdf Rahman, M., & Anwar, S. (2023). IoT-based automatic roof control system using rainfall and humidity sensors for household energy saving. IEEE Access, 11, 45327–45338. https://doi.org/10.1109/ACCESS.2023.3267554 Setiawan, F., & Haryanto, R. (2021). Sistem pengendali atap otomatis berbasis sensor hujan FR-04 dan sensor cahaya LDR dengan Arduino UNO. Jurnal Elektro dan Instrumentasi, 7(2), 88–95. https://jurnal.untidar.ac.id/index.php/jei/article/view/2230 Kumar, A., & Gupta, R. (2020). IoT-enabled smart home energy-saving roof control system. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(6), 120–125. https://doi.org/10.35940/ijitee.F3795.049620 Sutanto, D., & Priyanto, A. (2022). Analisis kinerja sensor FR-04 dalam mendeteksi intensitas hujan pada sistem otomatisasi berbasis mikrokontroler. Jurnal Teknik Elektro Indonesia, 12(1), 55–63. https://doi.org/10.22146/jtei.v12i1.9803 Luo, H., Chen, W., & Li, P. (2021). Design of an automatic retractable roof system using IoT-based rain sensors and servo control. Measurement, 180, 109559. https://doi.org/10.1016/j.measurement.2021.109559 Prasetyo, Y., & Zainuddin, A. (2020). Smart clothesline roof system based on FR-04 rain sensor and solar power controller. Jurnal Teknologi Informasi dan Elektronika, 5(4), 201–210. https://ejurnal.poliban.ac.id/index.php/jtie/article/view/1117 Nurhasanah, L., & Ramadhan, M. (2023). Penerapan sensor FR-04 dan LDR pada sistem atap otomatis hemat energi menggunakan ESP32. Jurnal Riset Teknologi Elektro dan Komputer, 8(1), 33–42. https://ejurnal.teknokrat.ac.id/index.php/jrtek/article/view/2180 Nguyen, T. P., & Le, H. N. (2021). Energy-efficient automatic roof control for smart homes using IoT sensors and adaptive algorithms. Journal of Building Engineering, 44, 103240. https://doi.org/10.1016/j.jobe.2021.103240 Fitria, D., & Hidayat, A. (2022). Pengembangan sistem atap jemuran otomatis dengan sensor FR-04 dan konektivitas Blynk berbasis IoT. Jurnal Teknologi Rekayasa dan Inovasi, 4(3), 145–153. https://journal.inovasi.tech/index.php/jtri/article/view/895 Zhang, Y., & Liu, C. (2024). IoT-based automatic rain detection system for smart domestic control applications. IEEE Internet of Things Journal, 11(2), 14012–14020. https://doi.org/10.1109/JIOT.2024.3360124  
Heartbeat Detector Using ESP32 Microcontroller and Website-Based Pulse Sensor hulu, helisati
JCEIT: Journal of Computer Engineering and Information Technology Vol. 2 No. 1 (2025): JCEIT: Journal of Computer Engineering and Information Technology (Nov 2025)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v2i1.39

Abstract

In todays digital era, the demand for adviced and user-friendly healthcare device is increasing. This research aims to design and develop a real-time heart rate detection device using ESP32 microcontroller and a pulse sensor connected to a web platform. This device is designed to continuously monitor the user’s heart rate and provide online data access, facilitating easier health monitoring. The methology used in this research includes the design of hardware and software. The ESP32 microcontroller was chosen for its advantages in Wi-Fi connetivity and good data processing capabilities. A pulse sensor is used to detect the heart rate, while a web platform is developed to display real time heart rate data. The research results show that this custom-bulit heart rate detection device can effectively dectect and display real-time heart rate data. The data sent to the web platform can be accessed via computer or smartphone making it easier for users or medical personnel to monitor health conditions remotely. In summary, this heart rate detector based on the ESP32 microcontroller and pulse sensor successfully meets the need for real-time heart rate monitoring and can be accessed via the web. Futher development can be done to improve accuracy and integration with other medical systems. REFERENCES Adiyanti, R., dkk. (2021). Perancangan sistem informasi indeks penyakit rawat inap menggunakan Microsoft Visual Studio. Jurnal Teknologi dan Manajemen Informatika, 7. Ambary, I. M., & Raharja, W. K. (2018). Purwarupa alat pendeteksi detak jantung berbasis Atmega328. Jurnal Ilmiah Teknologi dan Rekayasa, 23(1), 38–47. https://doi.org/10.35760/tr.2018.v23i1.2449 Ananda, Y. (2021). Perancangan sistem informasi detak jantung berbasis Android phone menggunakan media Bluetooth. Jurnal Simetri Rekayasa, 5035, 170–174. Retrieved from https://jurnal.harapan.ac.id/index.php/JSR Aprilia, dkk. (2020). Sistem monitoring real time detak jantung dan kadar oksigen dalam darah pada manusia berbasis IoT (Internet of Things). Jurnal Ilmiah Foristek Jurusan Teknik Elektro UNTAD, 10, 96. Azis, N., dkk. (2020). Analisa dan perancangan aplikasi pembelajaran bahasa Inggris dasar berbasis Android. IKRA-IKT Informatika, 4. Ikhsani, R. B., dkk. (2022). Monitoring pengukur detak jantung dan suhu tubuh pada pasien berbasis Internet of Things. Jurnal Informatika dan Teknik Elektro Terapan, 10, 22. Kamal, dkk. (2023). Implementasi aplikasi Arduino IDE pada mata kuliah sistem digital. Jurnal Pendidikan dan Teknologi, 1, 45. Ladjamuddin, dkk. (2021). Rancang bangun aplikasi pembelajaran simulasi tata surya menggunakan augmented reality berbasis Android. INCOMTECH, 10. Manurung, S., dkk. (2021). Penggunaan sistem Arduino menggunakan RFID untuk keamanan kendaraan bermotor. Jurnal Penelitian Inovatif, 1, 138. https://doi.org/10.54082/jupin Muliadi, dkk. (2020). Pengembangan tempat sampah pintar menggunakan ESP32. Jurnal Media Elektronika, 2, 22. Nizam, M., dkk. (2022). Mikrokontroler ESP32 sebagai alat monitoring pintu berbasis web. Jurnal Mahasiswa Teknik Informatika, 6, 30. Perangin-angin, A., dkk. (2021). Rancang bangun alat memprediksi Covid-19 pada perkantoran menggunakan GY-90614 dan pulse sensor dengan teknik simplex berbasis Arduino. Jurnal Cybertech, 4, 15. Pramukantoro, E. S., dkk. (2024). Implementasi sensor Polar H10 dan Raspberry Pi dalam pemantauan dan klasifikasi detak jantung beberapa individu secara simultan dengan pendekatan machine learning. Jurnal Teknologi Informasi dan Ilmu Komputer, 11, 175. https://doi.org/10.25126/jtiik.20241117716 Pratama Hudhajanto, R., Hardian Mulyadi, I., & Sandi, A. A. (2022). Wearable sensor device berbasis IoT berbentuk face shield untuk memonitor detak jantung. Retrieved from http://jurnal.polibatam.ac.id/index.php/JAIC Rahman, M. F., dkk. (2020). Deteksi sampah pada real-time video menggunakan metode Faster R-CNN. Applied Technology and Computer Science Journal, 3, 120. Rahmad Timor, A., & Kesuma, D. (2023). Alat pengukur denyut nadi dengan tampilan OLED berbasis Arduino. Jurnal Juni, 2(1), 92–97. Rasmila, dkk. (2024). Simulasi sistem monitoring kenaikan level air pada area rawan banjir secara real time berbasis smartphone Android. Jurnal Pengembangan Sistem Informasi dan Informatika, 5, 47. Santoso, S. P., dkk. (2022). Rancang bangun akses pintu dengan sensor suhu dan hand sanitizer otomatis berbasis Arduino. Jurnal Elektro, 10, 30. Wulandari, R. (2020). Rancang bangun pengukur suhu tubuh berbasis Arduino sebagai alat deteksi awal Covid-19. Prosiding SNFA (Seminar Nasional Fisika dan Aplikasinya).  
Design and Construction of an Internet of Things (IoT)-Based Smart Garden System badriana, badriana
JCEIT: Journal of Computer Engineering and Information Technology Vol. 2 No. 1 (2025): JCEIT: Journal of Computer Engineering and Information Technology (Nov 2025)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v2i1.40

Abstract

The use of the Internet of Things is currently very useful for the plantation sector, especially mustard greens. The Smart Garden System is still not widely found on plantation land. Smart Garden comes from English which means garden or smart garden, which is a system design created to make work in plantations easier. The aim of making this tool is to help in managing the plants, apart from helping in managing the plants, this Smart Garden can also be used to measure the humidity/air content in the soil, because some people who are cultivating do not know/cannot distinguish which soil is good for certain crops are planted and which are not, resulting in many crops failing to harvest and being detrimental because they wither and die. So it is hoped that this smart garden system can help many farmers in maintaining soil moisture conditions and can minimize damage to plants. "Smart Garden System" Refers to the concept of technology integration in garden or agricultural management to increase efficiency, productivity and loss. This Smart Garden System uses an ESP32 Microcontroller as data processing and control for Soil hygrometer, LED, 16x2 LCD, Water Washer and other components. REFERENCES Adani, M. R. (2020). Mengenal Apa Itu Internet of Things dan Contoh Penerapannya. Abdullah, R. (2021). 7 in 1 Pemrograman Web untuk Pemula. Jakarta: PT Elex Media Komputindo. Abdur Rochman, M. I., Hanafri, M. I., & Wandira, A. (2020). Implementasi website profil SMK Kartini sebagai media promosi dan informasi berbasis open source. Academic Journal of Computer Science Research (AJCSR), 2(1), 1–6. Retrieved from https://ajcsr.ejournal.id/ajcsr/article/view/33 Ali, M. M., Sukaca, G., & Aji, Z. P. (2020). Pengaruh ketahanan insulasi pada lampu LED swabalast terhadap keselamatan pengguna sesuai SNI IEC 62560. Jurnal Teknik Elektro dan Komputer, 9(2), 80–86. Anwar, et al. 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