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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding SNATIKA Vol 01 (2011) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Penelitian dan Pengembangan Komunikasi dan Informatika Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Mechanical Engineering for Society and Industry
Gembong Edhi Setyawan
Fakultas Ilmu Komputer, Universitas Brawijaya
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Centralized Smart Home Framework Monitoring for Power Savings Setyawan, Gembong Edhi; Setiabudi, Agung; Muttaqin, Adharul; Ichsan, Mochammad Hannats Hanafi
Journal of Information Technology and Computer Science Vol. 1 No. 2: November 2016
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (681.155 KB) | DOI: 10.25126/jitecs.2016128

Abstract

Abstract. Electrical energy has become a staple for humans. Almost all human activities always require electrical energy. To maintain the availability of electricity at any time, then it takes the process of global electricity savings. The electricity savings can be done in two ways, the first is the development of technology to make electric appliances that require low power for operation and the second is to improve human behavior in the use of electrical appliances (turning off electrical appliances when not in use). This research aims to create a centralized smart home that can help people to monitor the condition of electrical appliances in the house and turn off automatically when not being used. Besides this system could also be used in manual mode and be controlled remotely using a smartphone through the Internet. The system is made centrally so not only for the home but can be used for many homes. After application was implemented it can monitored which device is turned on or turned off.Keywords: Smart Home, Monitoring and Power Savings
Automatic Measurement of Human Body Temperature on Thermal Image Using Knowledge-Based Criteria Fitriyah, Hurriyatul; Rachmadi, Aditya; Setyawan, Gembong Edhi
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.494 KB) | DOI: 10.25126/jitecs.20172235

Abstract

Instead of thermometer, an infrared camera could be uti-lized to scan body temperature instantly and non-contact. This paperproposed a non-contact measurement of human body temperature by au-tomatically locating inner-chantus on thermal images. The inner-canthuswere detected in both eyes individually. It located inner-canthi based ontemperature where inner-canthi has the highest temperature in face area.A Thresholding based on 9-highest temperature were applied to detectcandidates of inner-canthus' blob as it must have minimum 9 pixel areaaccording to the Standard. Three knowledge based on characteristic ofeye were also applied in the algorithm as several spot in face usuallyfalls within the temperature threshold. The result show accuracy of al-gorithm to detect eye is 82% whether the eyelids were open or closed.There is no signicant dierent of temperature between closed and openeyes based on paired t-test. The algorithm also showed similar result tothermometer measurement based on paired t-test.
Advanced computational techniques for predicting 3D printing distortion in selective laser melting processes of Aluminium AlSi10Mg Choiron, Moch. Agus; Purnowidodo, Anindito; Zacoeb, Achfas; Setyawan, Gembong Edhi; Wirawan, Willy Artha; Ariadi, Yudhi; Rennie, Allan E.W.; Kurnianingtyas, Diva
Mechanical Engineering for Society and Industry Vol 5 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.12581

Abstract

Distortion for 3D printing using Selective Laser Melting (SLM) on AlSi10Mg aluminium is an important issue that affects the final manufactured product. This research aims to develop a finite element method (FEM)-based computational simulation and experimental validation to predict distortion in 3D printed products using SLM. The study results found that the variation of 3D printing position affects the resulting product's distortion and mechanical properties. The 90° part print position results in smaller distortion of 0.303 and 0.335 mm than the 0° part print position of 0.329 and 0.378, respectively, making it more suitable for high-precision applications. This study confirms the importance of scan orientation in controlling distortion in the SLM process, which can be used as a guide for optimal printing parameters. With proper orientation selection, the risk of distortion or defects in SLM products can be minimised, and industrial production efficiency can be improved.
Implementasi Algoritma Q-Learning Pada Robot Beroda untuk Strategi Navigasi dalam Lingkungan Statis Ardandi, Haekal Fadhilah; Setyawan, Gembong Edhi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 9 No 13 (2025): Publikasi Khusus Tahun 2025
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Naskah ini akan diterbitkan di SIET 2025
Rancang Bangun Pemilahan Sampah Plastik Otomatis Menggunakan YOLO Pada Raspberry Pi Fajar, Sanhnai Fathirul; Putri, Rekyan Regasari Mardi; Setyawan, Gembong Edhi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 9 No 11 (2025): November 2025
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sampah plastik menjadi salah satu permasalahan lingkungan yang terus meningkat akibat penggunaan plastik sekali pakai dan rendahnya efisiensi dalam proses daur ulang, di mana salah satu faktor utama yang mempengaruhi efektivitas daur ulang adalah pemilahan sampah plastik yang tepat. Proses pemilahan manual memerlukan tenaga kerja dan waktu yang besar serta rentan terhadap kesalahan, sehingga pada penelitian ini dikembangkan sistem pemilah sampah plastik otomatis berbasis Raspberry Pi dengan dukungan kamera, motor servo, dan konveyor. Sistem ini menggunakan algoritma YOLOv5 untuk melakukan deteksi dan klasifikasi objek secara real-time serta pustaka OpenCV untuk menangani pemrosesan citra, di mana kamera menangkap gambar sampah plastik yang bergerak di atas konveyor kemudian Raspberry Pi melakukan inferensi terhadap citra tersebut dan mengarahkan objek ke jalur sortir menggunakan motor servo sesuai dengan hasil klasifikasi. Model dilatih menggunakan dataset dari Roboflow dengan proses pelatihan dilakukan di Google Colab, sedangkan hasil pengujian menunjukkan bahwa sistem mampu mengklasifikasikan botol plastik dan plastik lainnya dengan akurasi sebesar 47,5%. Hasil tersebut menunjukkan bahwa rancangan sistem yang dikembangkan telah dapat berfungsi sesuai dengan tujuan utama dan berpotensi untuk dikembangkan lebih lanjut. Dengan demikian, penelitian ini memberikan kontribusi berupa prototype sistem pemilah sampah plastik otomatis yang dapat dijadikan dasar untuk penelitian lanjutan dalam meningkatkan akurasi deteksi serta keandalan sistem di masa depan.
Co-Authors Abdurrahman Arif Kasim Achfas Zacoeb Achmad Baichuni Zain Adharul Muttaqin Aditya Rachmadi, Aditya Adnan Mahfuzhon Agastya Bramanta Sanjaya Agung Setiabudi, Agung Alexandria, Syarifah ALFATH, ANASHRULLAH FAIZAL Amrin Rosada Amroy Casro Lumban Gaol Anata Tumonglo Andi Mohammad Rizki Andyan Bina Ardhana Anindito Purnowidodo Ardandi, Haekal Fadhilah Ariadi, Yudhi Arista Budi Setyawan Arycca Septian Mulyana Aryo Pinandito Ayang Setiyo Putri Ayu Dewi Khumairoh Ayu Samura Bagus Priyo Pangestu Barlian Henryranu Prasetio Benny Adiwijaya Cindy Lilian Dahnial Syauqy Didik Wahyu Saputra Dimas Angger Pribadi Dimas Bagus Jatmiko Eko Setiawan Enno Roscitra Oktaria Eriq M. Adams Jonemaro Fachrur Febriansyah Manangkalangi Fahmi Farizal Faisal Natanael Lubis Faizal Andy Susilo Faizal Ardiansyah Fajar Miftakhul Ula Fajar Pradana Fajar, Sanhnai Fathirul Faviansyah Arianda Pallas Fikri, Aqil Dzakwanul Fitriyah, Hurriyatul Frans Herbert Nainggolan Fungki Pandu Fantara Handi Handi Hanifa Nur Halimah Haqqi Rizqi Hendra Hendra Hurriyatul Fitriyah, Hurriyatul Irma Asri Kartika Sandy Irma Asri Kartika Sandy Issa Arwani Khurinika Cahyaning Susanty Kurnianingtyas, Diva M. Khanif Ashar Mahendra, I Gusti Putu Krisna Suaba Megananda, Muhammad Rifqi Mesra Diana Tamsar Moch. Agus Choiron Mochammad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Moh. Zainur Rodhi Mohammad Kholili Adi Putra Mohammad Riski Aprilianto Muchamad Rafi Dharmawan Muhammad Alif Alfajra, Andi Muhammad Fajaruddin Akbar Muhammad Hanif Haikal Muhammad Rosyid Khulafa Muhammad Tri Buwana Zulfikar Ardi Muliyahati Sutejo Musada Teguh Andi Afandi Nengah Affan Riadi Okke Rizki Kurniawan Purnama, Charrisma Dwi Mahardika Trisna Putra Wijaya Raharja, Kahfi May Rahmat Naharu Yanuar Rakhmadhany Primananda, Rakhmadhany Randy Maulana Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rennie, Allan E.W. Reza Ridlo Nugraha Reza Tanjung Ahmad Fauzi Ricky Prasetya Santoso Riko Andianto Rimas Oktama Rinaldi Albert Soritua Riza Irfan, Muhammad Rizal Maulana Sabitha Wildani Hadi Sabriansyah Rizqika Akbar Simanjuntak, Eldon Parasian Solly Aryza Sunu Dias Widhi Kurniadi Syarif Hidayatullah Tadya Adi Prana Tibyani Tibyani Utaminingrum, Fitri Wahyu Hari Suwito Wijaya Kurniawan Wijaya Kurniawan Wijaya Kurniawan Wirawan, Willy Artha Yusril Dewantara Zakky Ramadhan