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All Journal Scientific Journal of Informatics Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) JOIV : International Journal on Informatics Visualization Creative Information Technology Journal Techno Nusa Mandiri : Journal of Computing and Information Technology JURNAL ILMIAH INFORMATIKA JurTI (JURNAL TEKNOLOGI INFORMASI) Informatik : Jurnal Ilmu Komputer CSRID (Computer Science Research and Its Development Journal) Jurnal Teknologi Informasi dan Terapan (J-TIT) Informatika Indonesian Journal of Business Intelligence (IJUBI) IJIIS: International Journal of Informatics and Information Systems BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Data Sciences International Journal of Computer and Information System (IJCIS) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD International Journal of Robotics and Control Systems Jurnal Pengabdian Masyarakat IPTEK Jurnal Ilmiah Edutic : Pendidikan dan Informatika SAGA: Journal of Technology and Information Systems Bangun Desa : Jurnal Pengabdian Masyarakat Jurnal Medika: Medika Journal of Intelligent Systems and Information Technology Jurnal Sistem Informasi dan Teknologi Informasi Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi KOMPUTASI
Pujo Hari Saputro
Sam Ratulangi University
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KOMPARASI METODE SUPPORT VECTOR MACHINE DAN NAÏVE BAYES DALAM KLASIFIKASI PELUANG PENYAKIT SERANGAN JANTUNG Pradana, Musthofa Galih; Saputro, Pujo Hari; Wijaya, Dhina Puspasari
Indonesian Journal of Business Intelligence (IJUBI) Vol 5 No 2 (2022): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v5i2.2659

Abstract

The death rate in the world per year is 17.9 million due to cardiovascular disease, including heart and blood vessel disorders. This needs to be given more attention to anticipate the possible risk of a heart attack. One of the contributions in the field of technology to provide useful information about the risk of heart disease is by using a data processing approach or data mining technique by classifying the vulnerability to heart disease risk. The classification method used is Support Vector Machine and Naïve Bayes. The classification method will be carried out in a comparative process and the method that has the best accuracy will be sought. The scenarios used are 2 test scenarios, namely dividing the training data by 20% in scenario 1 and 40% in scenario 2. The final results of the research obtained are the best accuracy in the Support Vector Machine with scenario 1 of 87%.
Sosialisasi Pencegahan dan Penanganan Stunting Sebagai Upaya Mewujudkan Generasi Unggul di Dusun Iroyudan Kelurahan Guwosari Wardiyana, Lisa; Rouzi, Kana Safrina; A'yun, Riza Shinta Qurrota; Batubara, Saimarrasoki; Saputro, Pujo Hari; Sulaiman, Ahmad; Viantina, Anisa Lia; Hakim, Luqmanul; Amsy, M.R Mutawakkil; Wulandari, Narulita; Silvianah, Nita; Sari, Susi Nopita; Fatonah, Umti
Bangun Desa: Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2022)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jbd.2022.1(1).25-28

Abstract

Stunting merupakan keadaan gagal tumbuh pada balita yang disebabkan karena kekurangan gizi secara kronis atau berkepanjangan dalam waktu yang lama sehingga anak terlalu pendek untuk usianya. Salah satu penyebab stunting yaitu kurangnya pengetahuan ibu dan pola asuh yang kurang tepat. Oleh karena itu, diperlukan adanya sosialisasi mengenai cara pencegahan dan penanganan stunting. Metode pengabdian dengan penyuluhan dan ceramah disetai tanya jawab tentang pencegahan dan penanganan stunting melalui media power point. Peserta yang mengikuti soasialisasi terdiri dari 12 remaja putri, 3 ibu hamil dan 9 ibu dari balita yang mengalami stunting di Dusun Iroyudan Kelurahan Guwosari. Dalam kegiatan ini menghasilkan bahwa semua peserta sudah tersosialisasi mengenai stunting, dampak dari stunting, serta cara pencegahan dan penanganannya.
Co-Authors A'yun, Riza Shinta Qurrota Aditiarno Manik Ahmad Sulaiman, Ahmad Airlangga, Gregorius Alamsyah - Allo, Yusi Meilany Kendek Amsy, M.R Mutawakkil Anas, Syukron Arbiati Faizah Arbiati Faizah Asep Rahman Augusta Jannatul Firdaus Batubara, Saimarrasoki Dhina Puspasari Wijaya, Dhina Puspasari Djoko Budiyanto, Djoko Dyah Listianing Tyas, Dyah Listianing Dyah ListianingTyas Fatonah, Umti Gutama, Deden Hardan Henki Bayu Seta Herlino Nanang Indana Lazulfa Izzatul Umami Julius Bata Kalambia, Audia Endondaya Kevin, Geraldy Lintang Patria Luqmanul Hakim M Fadhel Nurmidin Maddusa, Sri Seprianto Makin, See Jong Michael Aristian Musthofa Galih Pradana Nindy Irzavika Nugroho, Oskar Ika Adi Nur Arifin Nur Rachman Dzakiyullah Nurcahyo, Azriel Christian Olivia Maria Tumurang, Olivia Maria Paendong, Indah Prisilia Pamekas, Bondan Wahyu Payuk, Fajar Salinding Buntu Pontoh, Fransisca Joanet Reinhard Komansilan Rendy Syahputra Reza Augusta J.F Rizal Sengkey Rouzi, Kana Safrina Roy, Andi Rumui, Nelson Rusiyono, Ruwet Salassa, Norris Elden Sari, Susi Nopita Silvianah, Nita Siti Zubaidah Sitompul, Bernard Jumadi Dehotman Sugianto, Lai Ferry Tumurang, Olivia Maria Tumurang Viantina, Anisa Lia Victor Tarigan Wahyuni Fithratul Zalmi Wardiyana, Lisa Wardiyana, Lisa Widoyoningrum, Sri Wulandari, Narulita Zalmi, Wahyuni Fithratul