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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknik Elektro Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Jurnal Informatika dan Teknik Elektro Terapan JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Jurnal Edukasi Matematika dan Sains Jurnal PAJAR (Pendidikan dan Pengajaran) Jurnal Teknoinfo Journal of Education Technology Parameter JIIP (Jurnal Ilmiah Ilmu Pendidikan) Yumary: Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Journal of Innovation and Technology JURNAL ILMIAH GLOBAL EDUCATION Jurnal Profesi Insinyur Universitas Lampung SNTE
Helmy Fitriawan
University of Lampung
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Journal : Jurnal Teknoinfo

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PROTOTIPE SISTEM PULLY MEKANIK HIGH TORQUE PENGGERAK ALAT PEMBERSIH PANEL SURYA OTOMATIS DENGAN MASSA 40 KG Rakhmat, Riko; Repelianto, Ageng Sadnowo; Setyawan, FX Arinto; Fitriawan, Helmy; Sulistiyanti, Sri Ratna
Jurnal Teknoinfo Vol 18, No 2 (2024): Juli 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i2.3802

Abstract

Solar energy is one of the New Renewable Energy (EBT) which is used specifically to meet electrical energy needs by converting it using a device often called a solar panel. Solar panels are generally arranged in PLTS in open areas so they have the potential to be exposed to dirt such as dust which can accumulate over a certain time and cause a reduction in the efficiency of sunlight irradiance on the surface of the solar panels. The solar panel cleaning system in solar power plants (PLTS) usually still uses conventional methods, namely cleaning by human power. In current technological developments, many automatic cleaning tools have been developed, but most of them in the field are only able to support a tool mass of under 10 kg. To clean a large 330 Wp solar panel, a frame construction is needed as a panel holder that can support a device mass of more than 10 kg, so in this paper a solar panel frame is designed that can support a weight of up to 40 kg. This tool is designed with a mechanical system that is able to support a larger mass of tools than is generally available in the field. In terms of mechanical system, the frame design of this tool uses a rectangular shape with hollow iron material to maintain a balanced position and is driven by a motor with a pully system as a kinetic energy transmission system for rotational motion using a High Torque motor. From the research results, it was found that the tool was able to work with a mass of 40 kg, a power consumption of 53.15 Watts with a tool operating time of 4 hours.
SISTEM KEAMANAN RUANGAN DENGAN HUMAN DETECTION MENGGUNAKAN SENSOR KAMERA BERBASIS DEEP LEARNING Alizal, Muhammad; Susanto, Misfa; Setyawan, Arinto; Fitriawan, Helmy; Mardiana, Mardiana
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.3798

Abstract

Penelitian ini memusatkan perhatian pada penerapan TensorFlow, sebuah platform open-source untuk machine learning, dalam konteks deteksi objek dan analisis visual. Tujuan dari penelitian ini adalah untuk mengembangkan dan melatih model deteksi objek menggunakan teknik-teknik deep learning yang terdapat dalam TensorFlow guna mengidentifikasi objek-objek dalam berbagai konteks visual. Metodologi penelitian ini melibatkan pengumpulan dataset yang representatif, penerapan arsitektur model yang sesuai seperti Convolutional Neural Networks (CNNs), serta proses training yang melibatkan teknik-teknik seperti transfer learning atau fine-tuning. TensorFlow digunakan sebagai framework utama dalam proses pengembangan dan evaluasi model, memanfaatkan kekuatan algoritma-algoritma yang telah tersedia dan kemampuan komputasi yang terdapat pada GPU. Hasil eksperimen menunjukkan bahwa model yang dikembangkan mampu mencapai tingkat akurasi yang signifikan dalam tugas deteksi objek, memberikan nilai performa yang baik dalam membedakan dan mengidentifikasi objek-objek dalam dataset yang beragam. Hasil ini mengindikasikan bahwa TensorFlow memiliki peran penting dalam memfasilitasi pengembangan model deep learning yang mampu menangani tugas-tugas visual kompleks secara efektif. Penelitian ini memberikan wawasan penting terkait aplikasi TensorFlow dalam konteks deteksi objek dan analisis visual, menyoroti potensi dan kekuatan yang dimiliki oleh platform ini dalam menghadapi tantangan-tantangan dalam domain visual computing.
Co-Authors Afri Yudamson Ageng Sadnowo Repelianto Agus Trisanto Ahmad Surya Arifin, Ahmad Surya Alizal, Muhammad Aziz, Azrina Abd Damayanti, Elok Danny Mausa, Danny Deassy Siska dhika, eduar Dikpride Despa DWI YULIANTI Elpana, Elpana emir nasrullah Farid, Muchammad Faunia, Nia Ferika Shaumi, Rahma Firdaus, Riyadh Gumilang, Alisha Gita Hadi Prayitno Hadi Prayitno, Hadi Harmen, Harmen Hasim, Sitronella Nurfitriani Herlinawati -, Herlinawati Herlinawati Herlinawati herpratiwi Herpratiwi Herpratiw Heru Ruwandar, Heru Ika Kustiani Jepisa, Tomi Komarudin, M. Latifah, Anna Zakkia Lutfia, Mutia Aini Mardiana Mardiana Misfa Susanto Muhammad Ifan Saputra Muhammad Irsyad Nandi Haerudin Niken Widyastuti Putra, Agung Dian R. Arum Setia Priyadi, R. Arum Setia Rakhmat, Riko Rangga Firdaus Riswandi Riswandi Rustadi Rustadi Setyawan, F X Arinto Setyawan, FX Arinto Siti Khodijah Sri Purwiyanti Sri Ratna Sulistiyanti Sugeng Widodo Syaiful Alam Titin Yulianti Umi Murdika