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Journal : Bulletin of Computer Science Research

Penilaian Tingkat Pengetahuan Siswa Dalam Sistem e-Learning Menggunakan Machine Learning Yovi Pratama; Yuga Pramudya; Evan Albert; Mumtaz Ilham Syafatullah; Rio Ferdinand; Verwin Juniansyah; Errissya Rasywir
Bulletin of Computer Science Research Vol. 3 No. 1 (2022): Desember 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i1.202

Abstract

Data clustering provides an overview of the grouping of data through classification so that the groups have levels that have the same category. Cluster classification is carried out on agricultural data in Jambi Province with agricultural production groups including rice, rubber, palm oil, and coffee in the period 2021 for 11 (eleven) cities/districts including Jambi City, East Tanjung Jabung Regency, Sungai Full City, Kerinci Regency, Muaro Jambi Regency, West Tanjung Jabung Regency, Merangin Regency, Sarolangun Regency, Batanghari Regency, Tebo Regency, and Bungo Regency. The purpose of the cluster is used for allocations related to the budget, land, and support that can be used both to increase the amount of production and evaluation related to agriculture, especially at the Jambi Province level. So that the clustering carried out using the Weka application is 4 clusters, the result is that the cluster process stops at the 2nd iteration, the output information that occupies cluster 0 is 3 cities/districts, cluster 1 has 1 city/regency, cluster 2 has 2 cities/districts, and cluster 3 there are 5 cities/districts, with a total attribute of 11 (eleven) city/district data. Based on experiments on manual clustering, it can be concluded that the equations that can be seen from the output results using Weka and manual calculations are the same as doing two data iterations and with the same data group results.
Klasifikasi Penyakit Gagal Jantung Menggunakan Algoritma K-Nearest Neighbor Yovi Pratama; Anton Prayitno; Defrin Azrian; Nur Aini; Yoga Rizki; Errissya Rasywir
Bulletin of Computer Science Research Vol. 3 No. 1 (2022): Desember 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i1.203

Abstract

Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide. Four out of 5CVD deaths are due to heart attacks and strokes, and one-third of these deaths occur prematurely in people under 70 years of age. Heart failure is a common event caused by CVDs and this dataset contains 11 features that can be used to predict a possible heart disease. People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidaemia or already established disease) need early detection and management wherein a machine learning model can be of great help.
Klasterisasi Data Pertanian di Tingkat Provinsi Jambi Tahun 2021 Menggunakan Algoritma K-Means Yovi Pratama; Yuga Pramudya; Evan Albert; Mumtaz Ilham S; Rio Ferdinand; Verwin Juniansyah; Errissya Rasywir
Bulletin of Computer Science Research Vol. 3 No. 1 (2022): Desember 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i1.205

Abstract

Data clustering provides an overview of the grouping of data through classification so that the groups have levels that have the same category. Cluster classification is carried out on agricultural data in Jambi Province with agricultural production groups including rice, rubber, palm oil, and coffee in the period 2021 for 11 (eleven) cities/districts including Jambi City, East Tanjung Jabung Regency, Sungai Full City, Kerinci Regency , Muaro Jambi Regency, West Tanjung Jabung Regency, Merangin Regency, Sarolangun Regency, Batanghari Regency, Tebo Regency, and Bungo Regency. The purpose of the cluster is used for allocations related to the budget, land, and support that can be used both to increase the amount of production and evaluation related to agriculture, especially at the Jambi Province level. So that the clustering carried out using the Weka application is 4 clusters, the result is that the cluster process stops at the 2nd iteration, the output information that occupies cluster 0 is 3 cities/districts, cluster 1 has 1 city/regency, cluster 2 has 2 cities/districts, and cluster 3 there are 5 cities/districts, with a total attribute of 11 (eleven) city/district data. Based on experiments on manual clustering, it can be concluded that the equations that can be seen from the output results using Weka and manual calculations are the same as doing two data iterations and with the same data group results.
Co-Authors Abdul Haris Abdul Harris Abdurrahman Abidin, Dodo Zaenal Abrani, Sauti Ade Saputra Agus Siswanto Akwan Sunoto Anggraini, Dila Riski Anita Anita Nurjanah Annisa putri Anton Prayitno Arya Atmanegara Aryani, Lies asih asmarani Athalina, Ghita Bayu saputra Beni Irawan Betantiyo Prayatna Borroek, Maria Rosario Briyan Chairullah Candra Adi Rahmat Carenina, Babel Tio Clara Zuliani Syahputri Defrin Azrian Desi Kisbianty, Desi Despita Meisak desy ayu ramadhanty Dimas Pratama Dodo Zaenal Abidin Dwi Rosa Indah Elsa Charolina L Siantar Evan Albert Fachruddin Fachruddin Fachruddin Fachruddin Fachruddin Fachruddin Fachruddin Fachruddin, Fachruddin farchan akbar Feranika, Ayu Fernando Fernando fiqri ansyah Fradea Novi Ramadhayanti GILLIANI, WENNY Hani Prastiwi Hartiwi, Yessi Hendrawan Hendrawan Hendrawan Hendrawan Hendrawan Hendrawan Hilda Permatasari Hussaein, Ahmad Ilham Adriansyah Ilham Fahrozi ilham permana Imelda Yose Iqbal Pradibya Irawan Irawan Irawan Irawan Irawan, Beni Istoningtyas, Marrylinteri Jasmir Jasmir Jeny Pricilia Johari, Riyan Jopi Mariyanto khalil gibran ahmad Kholil Ikhsan Lazuardi Yudha Pradana Li Sensia Rahmawati Lies Aryani Luthfi Rifky M.Rizky Wijaya Macharani Raschintasofi Maliyatul Khasanah Maria Rosario Borroek Marrylinteri Istoningtyas Marrylinteri Istoningtyas Marrylinteri Istoningtyas Mayang Ruza Mgs Afriyan Firdaus Migi Sulistiono Muhammad David Adrilyan Muhammad Diemas Mahendra Muhammad Ismail Muhammad Ismail Muhammad Riza Pahlevi Muhammad Satria Mubin Muhammad Wahyu Prayogi Mulyadi Mulyadi Mumtaz Ilham S Mumtaz Ilham Syafatullah Muttaqin Nabila Khumairo Najmul Laila Nanda Ghina Nasrul Ahlunaza Nasutioni, Wahyudi Nilu Widyawati Nungky Septia Kurnicova Nur Aini Nur Azmi Nurhadi Nurhadi Nurul Aulia OPHELIA, CHANDY Pahlevi, M. Riza Pahlevi, M.Riza Pareza Alam Jusia Pareza Alam Jusia Pareza Alam Jusia, Pareza Alam Putri Ratna Sari, Putri Ratna Rani Oktavia, Feby Renita Syafitri Reza Pahlevi Rio Ferdinand ROBY SETIAWAN Rofi'i, Imam Rohaini, Eni Rosario B, Maria Rosario, Maria Rts CiptaNingsi Rudolf Sinaga Sandi Pramadi Saparudin, Saparudin Satria Oldie Versileno Sri Wahyuni Nainggolan Sulistia Ramadhani Suyanti Tasya Basalia Sihombing Tedy Hardiyanto Tondy Maulana Tambunan Verwin Juniansyah virginia casanova andiko andiko Wahid Hasyim Yaasin, Muhammad Yessi Hartiwi Yessi Hartiwi Yoga Rizki Yovi Pratama Yuga Pramudya Zahlan Nugraha