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All Journal Jurnal Edukasi Elektro JREC (Journal of Electrical and Electronics) Jurnal Teknologi Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Informatika dan Teknik Elektro Terapan J-PEK (JURNAL PEMBELAJARAN KIMIA) JETT (Jurnal Elektro dan Telekomunikasi Terapan) JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY Electro Luceat Jurnal Penelitian Pendidikan IPA (JPPIPA) VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JET (Journal of Electrical Technology) InComTech: Jurnal Telekomunikasi dan Komputer RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Techne : Jurnal Ilmiah Elektroteknika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TIARSIE EQIEN - JURNAL EKONOMI DAN BISNIS TESLA: Jurnal Teknik Elektro Infotronik : Jurnal Teknologi Informasi dan Elektronika TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Barometer MULTINETICS EPIC : Journal of Electrical Power, Instrumentation and Control Journal of Sustainable Engineering: Proceedings Series TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Aisyah Journal of Informatics and Electrical Engineering Jurnal Informatika dan Rekayasa Elektronik JE-Unisla Jurnal Teknologi Elekterika Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknika Parameter Journal of Energy and Electrical Engineering (JEEE) International Journal Of Science, Technology & Management (IJSTM) Jurnal Teknologi Pertanian Gorontalo JTEIN: Jurnal Teknik Elektro Indonesia International Journal of Educational Research and Social Sciences (IJERSC) Jurnal Ilmiah Wahana Pendidikan Jurnal Energi Baru dan Terbarukan JURNAL ILMIAH GLOBAL EDUCATION Jurnal Teknik Elektro Teknologika PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer INDIKATOR Electrician : Jurnal Rekayasa dan Teknologi Elektro Madani: Multidisciplinary Scientific Journal Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal INFOTEL Power Elektronik : Jurnal Orang Elektro Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Media Elektrik Widya Teknik SNTE
Yuliarman Saragih
Universitas Singaperbangasa Karawang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Sistem Klasifikasi Penyakit Kulit dengan Analisis Citra dan Sistem Pakar Penyakit Kulit dengan Antarmuka Web untuk Peningkatan Produktivitas Pelayanan Puskesmas Desa Kendaljaya Kecamatan Pedes Saragih, Yuliarman; Dwijaksara, Ni Luh Bella Windu Febriyanti; Sukanta; Arjuno Putro Bayu; Siti Masitoh; Resi Sujiwo Bijokangko; Saragih, Carolan Ignatius
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 8 No. 4 (2025): November
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v8i4.9911

Abstract

Peningkatan kualitas pelayanan kesehatan primer di daerah pedesaan masih menjadi tantangan, khususnya dalam diagnosis penyakit kulit yang membutuhkan waktu dan keahlian spesifik. Pengabdian kepada masyarakat ini bertujuan untuk mengembangkan dan mengimplementasikan sistem klasifikasi penyakit kulit berbasis analisis citra menggunakan algoritma YOLOv8 serta sistem pakar gejala yang terintegrasi dalam antarmuka web. Sistem ini diterapkan di Puskesmas Desa Kendaljaya, Kecamatan Pedes, Kabupaten Karawang, untuk mendukung efisiensi tenaga medis dan meningkatkan akses masyarakat terhadap diagnosis awal penyakit kulit. Metode yang digunakan meliputi pendekatan riset terapan kolaboratif, pelatihan model dengan dataset terbuka, integrasi antarmuka web, serta pelibatan pengguna dalam uji coba langsung. Evaluasi dilakukan secara kuantitatif dan kualitatif melalui kuisioner, observasi penggunaan sistem, dan wawancara mendalam. Hasil implementasi menunjukkan bahwa sistem mampu mengklasifikasikan lebih dari 30 jenis penyakit kulit dengan akurasi tinggi, serta meningkatkan efisiensi layanan dengan waktu diagnosis yang lebih singkat. Masyarakat juga menunjukkan antusiasme tinggi dalam penggunaan sistem, terutama generasi muda. Kegiatan ini memberikan kontribusi signifikan terhadap peningkatan literasi digital masyarakat dan penguatan pemanfaatan teknologi cerdas dalam pelayanan kesehatan primer. Sistem yang dikembangkan berpotensi untuk direplikasi pada layanan kesehatan lainnya, terutama di wilayah dengan keterbatasan tenaga medis.
PERBANDINGAN ALGORITMA MACHINE LEARNING UNTUK PREDIKSI NILAI UJIAN SISWA Luthfi Luqman Fattah; Yuliarman Saragih; Budiman Faisal Tanjung; Naufal Akmal Nugraha
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 12 No. 3 (2025): Prosisko Vol. 12 No. 3 November 2025
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/prosisko.v12i3.10699

Abstract

Peningkatan kualitas pendidikan tidak hanya bergantung pada metode pembelajaran, tetapi juga pada kemampuan institusi untuk memahami dan mengantisipasi performa akademik siswa. Penelitian ini bertujuan untuk membangun dan membandingkan tiga model prediksi nilai ujian siswa berdasarkan data kebiasaan harian menggunakan algoritma Regresi Linier, Random Forest, dan XGBoost. Data diperoleh dari platform publik dengan jumlah 1000 entri siswa yang mencakup berbagai atribut seperti durasi belajar, kehadiran, aktivitas ekstrakurikuler, dan kesehatan mental. Setiap model diuji menggunakan metrik evaluasi seperti Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), dan koefisien determinasi (R²). Hasil penelitian menunjukkan bahwa model Regresi Linier memberikan performa terbaik dengan nilai RMSE terendah sebesar 5,139 dan R² tertinggi sebesar 0,897. Analisis lebih lanjut menunjukkan bahwa variabel durasi belajar memiliki kontribusi paling dominan dalam prediksi nilai ujian. Temuan ini mengindikasikan bahwa hubungan antara variabel input dan nilai ujian siswa cenderung linear dan stabil, sehingga dapat dimodelkan secara efektif menggunakan pendekatan sederhana. Penelitian ini memberikan kontribusi dalam penerapan analisis prediktif berbasis machine learning untuk keperluan evaluasi pendidikan dan dapat menjadi dasar bagi pengembangan sistem pendukung keputusan di lingkungan sekolah maupun perguruan tinggi.
Line Balancing Method As An Effort To Improve Cable Production In Pt Kmi Wire And Cable Production Management Suparmin; Saragih, Yuliarman
International Journal of Science, Technology & Management Vol. 4 No. 2 (2023): March 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i2.754

Abstract

Write Line Inner Sheating at PT. KMI Wire and Cable has idle time due to processing time on Unbalanced work stations sometimes cause stop lines. Fromcalculations it is known that the cycle time gap / cycle time obtained is as big as 109.2 seconds and the figure is taken based on the biggest time from 6 stations existing work. The author intends to examine the causes of its occurrence processing time delays that occur on the Inner Sheating line and deliver give suggestions for future improvements. This research uses line balancing method and production system layouts. Among them is looking for the cycle time at the 6 largest stations as a reference in determining the next calculation, calculating the company's capacity, determining the efficiency of the machine, calculating the number of machines, adding the number of machines and additional floor area. Data is taken from field observations and records. The author uses two methods, namely the line balancing method and the system method production layout. he line balancing method and production layout system that has been carried out can be causing it to be able to meet market demand of 17,688 coils / month with the addition of machines / work stations, the required floor area is 14 m² with details, 7 m² at the Inner Sheat workstation and 7m² at the Outer Sheat station.
Effect of Thermal Overload Relay (TOR) as Overheating Protection on BSR-10 Type Biofuel Pelletizer Molding Machine Saragih, Yuliarman; Hiermy, Ulpen
International Journal of Educational Research & Social Sciences Vol. 4 No. 3 (2023): June 2023
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v4i3.670

Abstract

BSR-10 type biofuel pellet forming machine is widely used in renewable energy industry to produce high quality biofuel pellets. However, prolonged operation and heavy loads on these engines can cause their temperature to rise excessively and potentially damage the electric motors. To overcome this problem, this study aims to investigate the effect of using a Thermal Overload Relay (TOR) as a protection against overheating in a BSR-10 type biofuel pellet forming machine. This research involves measuring temperature and engine performance when operated with and without TOR. Motor temperature and engine ambient temperature are observed and recorded during normal operation and heavy load situations. In addition, engine performance in terms of rotational speed, energy consumption and pellet production were also evaluated with and without TOR. The results showed that the use of TOR significantly reduced the motor temperature in the BSR-10 type biofuel pellet forming machine. When given a heavy load, the engine that is protected by TOR shows a more stable and controlled temperature compared to the engine without TOR. In addition, TOR-equipped machines also show improvements in overall performance, including more stable rotational speeds, more efficient energy consumption and consistent pellet production. In conclusion, the use of Thermal Overload Relay (TOR) as protection against overheating in the BSR-10 type biofuel pellet forming machine is effective in controlling motor temperature, improving engine performance, and preventing damage caused by excess temperature. This research provides a better understanding of the use of TOR in the context of biofuel pelletizing machines and can provide useful guidance to the renewable energy industry in improving the operational efficiency and reliability of their machines..
IoT-Based: Smart Hydroponic Farming with SSD MobileNet and Fuzzy Logic Arnisa Stefanie; Lela Nurpulaela; Yuliarman Saragih; Safrian Andromeda; Muhammad Fachri Azizi; Muhammad Rifqi Setyanto; Selfi Arfianti; Sandi Sandi
JURNAL INFOTEL Vol 17 No 4 (2025): November
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i4.1424

Abstract

Traditional hydroponic systems largely rely on manual observation and regulation of essential environmental variables, such as pH, nutrient concentration, temperature, and humidity. This dependence often causes inefficiency, inconsistent crop quality, and greater labor requirements. To overcome these limitations, this study proposes an IoT-based Smart Hydroponic System that integrates fuzzy logic control with computer vision using the SSD MobileNet architecture. The objective of this research is to design and implement an intelligent automation framework capable of improving hydroponic cultivation through continuous data monitoring, analytical decision-making, and autonomous environmental adjustment. Within this framework, fuzzy logic dynamically stabilizes nutrient and pH levels, while the SSD MobileNet model analyzes plant images to classify growth stages and determine harvest readiness. Experimental testing produced an average classification loss of 0.1283, demonstrating reliable detection accuracy. Compared with conventional methods, the proposed integration enhances adaptability, precision, and computational efficiency for edge-level IoT applications. This system introduces a novel and scalable approach to precision agriculture, enabling more effective automation and decision making in hydroponic farming. Future studies are encouraged to expand their implementation to various plant species and adaptive learning models for broader applicability.
Implementasi Model DISTILGPT-2 dalam Sistem Tanya Jawab Generatif untuk Layanan Informasi Program Studi di Unsika sebagai Upaya Efisiensi Layanan Informasi Yuliarman Saragih; Dene Herwanto; Ibrahim
EPIC Journal of Electrical Power Instrumentation and Control Vol 8 No 2 (2025): EPIC
Publisher : Universitas Pamulang, Prodi teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/epic.v8i2.59260

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem question answering generatif berbasis Large Language Model guna meningkatkan efisiensi layanan informasi akademik di Universitas Singaperbangsa Karawang. Metode yang digunakan adalah experimental development dengan tahapan pengumpulan dataset domain spesifik UNSIKA, preprocessing, fine-tuning model DistilGPT-2, evaluasi performa, serta implementasi dalam bentuk prototipe chatbot berbasis web. Dataset yang digunakan terdiri dari 800 pasangan pertanyaan dan jawaban yang merepresentasikan kebutuhan informasi akademik. Hasil penelitian menunjukkan bahwa model memiliki performa yang stabil dengan nilai training loss sebesar 1.23, validation loss sebesar 1.31, dan perplexity sebesar 3.41 yang mengindikasikan kemampuan generasi teks yang baik. Evaluasi kualitatif menunjukkan tingkat relevansi jawaban sebesar 92%, keterbacaan bahasa sebesar 90%, dan ketepatan fakta sebesar 89%. Waktu pelatihan model tercatat ±1 jam 25 menit dengan total parameter sekitar 82 juta, yang menunjukkan efisiensi komputasi yang baik. Berdasarkan hasil tersebut, dapat disimpulkan bahwa pendekatan fine-tuning model bahasa berbasis domain lokal efektif dalam meningkatkan kualitas layanan informasi akademik. Sistem yang dikembangkan mampu memberikan respons yang relevan, akurat, dan mudah dipahami, sehingga berpotensi menjadi solusi dalam mendukung transformasi digital layanan akademik di perguruan tinggi.
Co-Authors -, ibrahim Adinda Larasati, Putri Adzilla, Wilma Nurrul Agni Andhini Agung Wijiantoro Ahmad Al-Baehaqi Salam Ahmad Fadhlul Kamal, Ahmad Fadhlul Kamal Akhmad Irfansyah Salim Al Sulaiman, Ramdhani Alfian, Reza Alia Hurul Aini Alinda Endang Poerwati Alwin Amadeuz Ezrafel Amiruddin, Syuraih Amnur Pinomo Manurung Amran Nur Afif Ananda Fauziah Andalisto, Ditra Andi Boy Panroy Manullang Anugrah Restu Rahayu Apid Hapid Maksum Arianne Gatari Arifin, Sulthon Muakhor Arjuno Putro Bayu Arnisa Stefanie Aulia Maulana, Dava Aulia Safitri, Regita Ayu Nur Indahsari Azis, Dhika Aditya Baihaki Baihaki Bangun Widyatmoko Bayu Megantoro, Ramadhani Berliani, Dhea Bima Pratama, Tyo Budiman Faisal Tanjung Cahyadi, Devi Cintiya Septa Hasannah Dalimunthe, Mhd Erpandi Damiri, Adam Dasep Heriansyah Dene Herwanto Dhika Aditya Azis Dian Budhi Santoso Donni Angger Basuki Dwi Prasetyo Dwijaksara, Ni Luh Bella Windu Febriyanti Edison Sembirin Colia Edmund Ucok Armin Eko Sediyono Eko Setyono Elisabet, Agatha Endang Erik, Muhammad Estimate Ria Ristanry Fadilah, Syarifah Nur Falentina Lavi Fariq Naufal, Muhammad Fariza Haqi Faturrahman, Luthfan Akmal Fatwa Fauzandi Fauzan, Muhammad Raihan Gaby Aditya Nugraha Gemilang, Bintang Gina Lova Sari Gultom, Roy Morales Gun Gun Gumilar Gustina Indriati Hadikusuma, Ridwan Satrio Hafid, Izzul Hamdan Sardi Selian Hana Graceila Sitindjak Hana Graceila Sitindjak Hanafi, Zikri Handayana, Kayat Hasan Mardiansyah Heri Santoso, Makmur Hiermy, Ulpen Hutapea, Marshal I Ketut Suada Ibrahim Ibrahim - ibrahim - Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Imam Budi Santoso Immanuel, Josya Marvin Kintania Pracipta Komalasari, Ayu Koo Tito Novelianto Kurniadi, Ananda Rizky Kurniawan, Fery Andika Kusuma, Adillah Surya Lamada, Ibrahim Latifa, Ulinnuha Lawang, Robert M.Z. Lela Nurpulaela Lila Setiyani Lilis Pitriyanti Luthfi Luqman Fattah M Fauzan Reza Firdaus M Irwan Darmawan Maeleva, Syabandani Makmur Heri Santoso Manurung, Amnur Pinomo Mardiansyah, Hasan Marno, Marno Marza Ihsan Marzuki Maulana, Aldi Farid Meiyussad, Danzwarnas Mochammad Afrie Adam Mohammad Daffa Ananda Mohammad Daffa Ananda, Mohammad Daffa Ananda Muham, Joshua Michael Sembiring Muhamad Irsal MI Muhamad Nuh Ruhyat Muhamad Nuh Ruhyat muhamad sahrul Muhammad Fachri Azizi Muhammad Fahmi Hakim Muhammad Iqbal Alfarizi Muhammad Rifqi Setyanto Muhammad Sahidal Mulya Sanjaya, Rezha Mulyahani, Alvina Naufal Akmal Nugraha Novita, Asri Dwi Nugroho Susanto Nunu, Muhamad Nuh Ruhyat Nur Rachmad Ramadhan Nur Samsul Huda Nurdiyanto, Furkhon Nurhadi Nurhayati, Syifa Silvia Nurhuda, Pradicta Nurjeli Nurjeli Nurkholiq Fahrurozi, Riziq Pane, Krisdayanti Dormauli Pitriya Tiar Prasetiyo, Teguh Puji Waluyo Puji Waluyo Raden Mohamad Herdian Bhakti Rahmat Hidayat Rahmat Hidayat Renaldi Irwansyah Reni Rahmadewei Reni Rahmadewi Reni Rahmadewi Reni Rahmadewi Reni Rahmadewi, Reni Resi Sujiwo Bijokangko Resi Sujiwo Bijokangko Ricko Immanuel Wicaksana Ridwan Satrio Hadikusuma Ridwan Satrio Hadikusuma Ridwan Satrio Hadikusuma Ridwan Satrio Hadikusuma Ridwan Satrio Hadikusuma, Ridwan Satrio Hadikusuma Riyan Setiyawan Rizal Pratama Rizki Priadi, Akbar Robert M.Z Lawang Robi Bagja Nugraha Rusdianto Roestam Saddiq, Azhar Safrian Andromeda Safrian Andromeda Sandi Sandi Saputra, Rivaldi Julian Saragih, Carolan Ignatius Sarti Do Afsindir Satrio Hadikusuma, Ridwan Selfi Arfianti Sella Monica Setiyo Budiyanto Siti Masitoh Soehatman Ramli Steafanie, Arnisa Stefani, Arnisa Subagja, Fajar Eka Subekhi, Ikhwan Sudirman Sudirman Sukanta Sukanta Suparmin Supriyadi, Adimas Prasetyo Suroyo Suroyo Suroyo Suroyo Suryomukti, Muhammad Tanjung, Budiman Faisal Taufiqurrahman Taufiqurrahman Teguh Kurniawan Ulinnuha Latifa Ulinnuha Latifa Wahyu Ramadhan Weko Susanto Weko Susanto Wilma Nurrul Adzilla Yogi Setiawan Yudha Wijaya Matrutty Yuliana Yuliana Yusrodi