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All Journal Jurnal Sains dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer JURNAL PENGABDIAN KEPADA MASYARAKAT Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Informatika Upgris Jurnal Komtika (Komputasi dan Informatika) Jurnal Surya Masyarakat JURNAL MANAJEMEN BISNIS Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Pengabdian Kepada Masyarakat (Mediteg) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Surya Masyarakat Community Empowerment KLIK: Kajian Ilmiah Informatika dan Komputer Prosiding University Research Colloquium Borobudur Informatics Review Jurnal Informatika: Jurnal Pengembangan IT
Setiawan, Agus
Universitas Muhammadiyah Magelang, Magelang, Indonesia
Religion Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Penerapan Metode Naive Bayes Dalam Rekomendasi Strategi Penerimaan Peserta Didik Baru Afan Hafara Sani; Agus Setiawan; Ardhin Primadewi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2438

Abstract

New Student Admission (PPDB) is a school spearheading activity in getting students, especially for private schools. SMK Muhammadiyah 1 Borobudur as one of the private vocational schools in Magelang Regency. SMK Muhammadiyah 1 Borobudur has problems related to the PPDB promotion strategy. The PPDB promotion that has been carried out has not fully shown a significant promotion growth to increase the number of students registering each year and PPDB information has not yet reached remote areas of Magelang Regency. In determining the promotion media for PPDB SMK Muhammadiyah 1 Borobudur, this study uses the Naïve Bayes algorithm. Naïve Bayes is a classification method using probability and statistics to predict future opportunities based on the past. By using the nave Bayes algorithm which is applied with a ratio of 70:30 for train data and test data, it is able to produce an accuracy of 72%. To maximize the results of data accuracy, this study used the k-fold cross-validation method with k=10 times resulting in an accuracy of 75%. In addition, it can be seen that 3 PPDB information is recommended for promotional media, namely student partners, alumni and Instagram.
Penerapan Metode Posenet untuk Deteksi Ketepatan Pose Yoga Raynaldi Ahmad Asshidiqy; Agus Setiawan; Dimas Sasongko
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2444

Abstract

When someone does yoga activities, usually, someone follows yoga guidelines in the form of yoga classes and yoga self-guidance, which is usually in the form of images, videos, and audio. But along with the rapid development of technology, now there are many yoga guides and easy to get. Yoga activities can now be done independently without approaching a yoga instructor. The purpose of this study is to help yogis to be able to do yoga correctly and to follow yoga guidelines with the correct poses with a system that contains yoga poses and also as the main feature of correcting yoga poses that yogis do to get yoga poses correctly. The resulting system will capture yoga poses and detect whether the pose is correct according to the yoga pose guidelines. Based on the verification of the distance between the device or the device that has a camera, it is placed at a distance of 200cm – 250cm between the device and the yogis. The device's height is placed in a place that has a height half the size of the yogi's whole body or at the height of 85cm. The test results using the BlackBox method get no errors. Besides that, the system can run well in a room with 7-watt LED lights, and no objects block the yogis, so the camera catches the whole body.
Co-Authors Afan Hafara Sani Ahwy Oktradiksa Andi Widiyanto Ardhin Primadewi Ari Purnomo, Tuessi Dimas Sasongko Disyana Ajeng Pramesti Endah Ratna Arumi Endah Ratna Arumi, Endah Ratna Febiawan, Muhamad Hendra Galih Adi Prastian Kanthi Pamungkas Sari Muhammad Ifsyaus Salam Muhammad Ridwan Sulistyono Mukhamad Niamaskur Nia Kurniati Bachtiar Nuryanto Oesman Raliby Al Manan Priyo Purwono Hendradi R Arri Widyanto Rachman Perayoga Raliby Al Manan, Oesman Raynaldi Ahmad Asshidiqy Rozaq Sulastiyono Setiya Nugroho Siti Maesyaroh Sukmasetya, Pristi Sunarni Sunarni Tria Mardiana Tria Mardiana Tuessi Ari Purnomo