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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal on Computing (Indo-JC) Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization Syntax Literate: Jurnal Ilmiah Indonesia TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Charity : Jurnal Pengabdian Masyarakat eProceedings of Applied Science Community Service Seminar and Community Engagement (COSECANT) JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Jurnal INFOTEL Intechno Journal : Information Technology Journal Journal of Applied Engineering and Social Science
Prajna Deshanta Ibnugraha
Telkom University
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Journal of Applied Engineering and Social Science

 1 
Aplikasi Pendeteksi Fokus Mahasiswa Dalam Melakukan Pembelajaran Menggunakan Mimik Muka Nasution, Wahyu Esya; Ibnugraha, Prajna Deshanta; Alfarisi, Muhammad Rizqy
Journal of Applied Engineering and Social Science (JAESS) Vol. 1 No. 1 (1): December 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jaess.v1i1.6561

Abstract

Masa pandemi Covid-19 membuat metode pembelajaran yang awalnya berbasi luring harus berubah menjadi daring. Hal tersebut tentunya memiliki pengaruh terhadap tingkat fokus mahasiswa, mahasiswa yang memiliki fokus rendah dapat membuat mahasiswa tersebut mendapat nilai yang kurang baik. Dosen juga akan merasa kesusahan mengawasi satu persatu mahasiswanya pada pembelajaran berbasis daring. Berdasarkan masalah tersebut diadakan penelitian tentang sistem yang dapat mendeteksi fokus mahasiswa dalam melakukan pembelajaran. Sistem tersebut dapat mendeteksi keadaan mahasiswa yang sedang mengantuk ataupun yang sedang fokus pada saat pembelajaran. Hasil penelitian ini menunjukkan bahwa pendeteksian wajah menggunakan metode Haar Cascade Classifier dapat mendeteksi wajah saat kondisi wajah tidak terhalang suatu benda dan memiliki kondisi cahaya yang mencukupi. Orang yang sedang tidak fokus sering menutup mata lebih dari 14 kali dan menguap lebih dari 4 kali. Sedangkan orang yang sedang berada dalam kondisi fokus jarang menutup mata dan menguap. Didapatkan pula tingkat akurasi sebesar 80% terhadap pendeteksian yang dilakukan terhadap 10 orang dalam jangka waktu 5 menit.
Pendeteksi Objek Berupa Sampah Di Area Kampus Telkom University Iqbal Syaifullah Azhary; Prajna Deshanta Ibnugraha; Setia Juli Irzal Ismail
Journal of Applied Engineering and Social Science (JAESS) Vol. 2 No. 2 (2024): November 2024
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jaess.v2i2.8381

Abstract

Garbage is an item that is produced from human activities and other living things that are no longer used. Garbage willbecome an environmental problem if not managed this properly. The large activity from Telkom University students meansthat most students throw garbage inappropriately when they are on the campus. This garbage problem can make thecampus environment very uncomfortable, due to lack of trash cans in areas that are rarely traverse by people. there aremany technological tools that can help to detect garbage. Which one of this is machine learning. Machine learning is artificialintelligence that helps humans to make a system and one of them is an object detection system. By using machine learningfor object detection system, the campus can check garbage that is thrown away carelessly. In this final project, a system willbe built that can detect objects in the form of garbage through a camera using an experimental based method. As for thesystems and tools used, Yolov5 as the model of the system and Raspberry Pi as the main computer. The results obtainedfrom object detection system are to help the campus detecting garbage in Telkom University campus area.
Co-Authors Ade Irma Susanty Adrian, Muhammad Kholilul Anita Silvianita Arry Widodo Ashshiddiqqi, Muhammad Arhizal Aziz, Malik Abdul Badarudin Ramadan, La Ode Candra Wijayangka Devie Ryana Suchendra ema, ema Gita Indah Hapsari Hamdani, Budhi Iqbal Syaifullah Azhary Khamla NonAlinsavath Kurniawan, Aris Pujud Lukito Edi Nugroho Malik Abdul Aziz Mia Rosmiati Moch Fahru Rizal Moch. Fahru Moch. Fahru Rizal Moch. Fahru Rizal, Moch. Fahru Muhammad Ikhsan Sani Muhammad Rizqy Alfarisi Mukti, Sandy Krisna Nadhiem, Mitsal Fabian Nagari, Fabian Sekar Nasution, Wahyu Esya Nina Hendrarini NonAlinsavath, Khamla NonAlinsavath Nuha, Hilal H Paulus Insap Santosa Periyadi, Periyadi R. Nurafni Rubiyanti Ramadhan, Gilang Ahmad Raqiswandri, Aldhi Rini Handayani Rizal, Moch Fahru Rosmiati, Mia Sandy Krisna Mukti Saputra, Diva Sofy Noviananda Saragih, Romat SATRIA, ANAS Setia Juli Irzal Ismail Setia Juli Irzal Ismail Simanjuntak , Argun G. Sugondo Hadiyoso Tora Fahrudin Wicaksono, Ryan Yusuf, Mirza Ali Zaki , Akmal Rizki Zhalifunnas, Muhammad Naufal