Article Per Year (5 Year)
p-Index From 2021 - 2026
2.844
P-Index
This Author published in this journals
All Journal Jupiter IPTEK Journal of Proceedings Series PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Journal of Information Systems Engineering and Business Intelligence Sistemasi: Jurnal Sistem Informasi Jurnal Komputer Terapan Jurnal Informatika Universitas Pamulang Compiler MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Kumawula: Jurnal Pengabdian Kepada Masyarakat Infotekmesin Jurnal Pengabdian UNDIKMA Jurnal Pengabdian Polinema Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika dan Multimedia Jurnal Informatika Polinema (JIP)
Wilda Imama Sabilla
Politeknik Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jupiter

 1 
Identify Level of Welfare Population Based on Income Levels Using Decision Tree Method Yunita Ardilla; Wilda Imama Sabilla; Sarah Astiti
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 13 No 2 (2021): JUPITER Edisi Oktober 2021
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/3375.jupiter.2021.10

Abstract

Identification of population welfare influenced by several factors. This identification is useful to assist the government in classifying the level of welfare population which is useful for providing subsidies to be targeted. Therefore this study aims to determine the level of welfare population based on the level of income per capita using decision tree method. The selection of the best model is based on the calculation value of accuracy, precision, and recall with k-fold cross validation method. Based on experiments that have been done, it can be concluded that the decision tree model produced has good performance with a tree shape model has 622 leaves with tree size 705 of nodes, the model has an accuracy of 86,97%, precision 0.897 and recall 0.917.
Co-Authors Amalia, Astrifidha Rahma Ariadi Retno Tri Hayati Ririd As Sidiq, Zidan Shabira Candra Bella Vista Chastine Fatichah Dhebys Suryani Hormansyah, Dhebys Suryani Dikky Rahmad Shafara Dimas Wahyu Wibowo Dwi Puspitasari Firdaus, Aji Akbar Habibie Ed Dien Habibie Ed Dien Handoyo, Irvandy Ika Kusumaning Putri Mamluatul Hani’ah Moch Zawaruddin Abdullah Nasa Zata Dina Nurhayati, Rafika Nurissaidah Ulinnuha Perkasa, Muhammad Adisa Putra Rokhimatul Wakhidah Rosa Andrie Asmara Rully Soelaiman Sarah Astiti S.Kom., M.MT Syafaat Akbar Tesa Eranti Putri Ulla Delfana Rosiani Utama, Andhika Vit Zuraida Yunita Ardilla Yuri Ariyanto Yusron, Rizqi Darma Rusdiyan