Article Per Year (5 Year)
p-Index From 2021 - 2026
5.689
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Fakultas Ekonomi Science and Technology Indonesia Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Teknik Komputer AMIK BSI Indonesian Journal of Islamic Early Childhood Education Jurnal Eksplora Informatika Jurnal Akuakultur Sungai dan Danau Pharmacology and Clinical Pharmacy Research Societa: Jurnal Ilmu-Ilmu Agribisnis JURNAL PENDIDIKAN TAMBUSAI WAJAH HUKUM Jurnal Ilmu Kedokteran dan Kesehatan Jurnal Ilmu Hukum The Juris Jurnal Literasiologi JISIP: Jurnal Ilmu Sosial dan Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini eL.Muhbib: Jurnal Pemikiran dan Penelitian Pendidikan Dasar Syntax Idea Jurnal E-Komtek Al-Ittizaan : Jurnal Bimbingan Konseling Islam TAJDID: Jurnal Pemikiran Keislaman dan Kemanusiaan Fox Justi : Jurnal Ilmu Hukum Al-Hanif: Jurnal Pendidikan Anak dan Parenting Ensiklopedia: Jurnal Pendidikan dan Inovasi Pembelajaran Saburai Salam (Islamic Economics Journal) Journal of Infrastructure and Civil Engineering Jurnal Pusat Inovasi Masyarakat Margin : Jurnal Bisnis Islam dan Perbankan Syariah 'Asabiyah: Jurnal Pengabdian Hukum Cendikia Pendidikan Athena: Physical Education and Sports Journal Anayasa Media Hukum Indonesia (MHI) Jurnal Dieksis ID Jurnal Teknik dan teknologi tepat guna Journal of Civil Engineering and Vocational Education IT-Edu: Jurnal Information Technology and Education Binamulia Hukum Ulil Albab Sujud: Jurnal Agama, Sosial dan Budaya Funun Arabiyyah: Journal of Arabic Education and Literature
Angga Saputra
Program Studi Pendidikan Jasmani dan Rekreasi FKIP Untan, Pontianak
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 54 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal E-Komtek

 1 
Literature Study: Prediction of the Type of Company where Students Work Using Naïve Bayes and Neural Network Algorithms Saputra, Angga; Luqman; Herman Bedi Agtriadi
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2314

Abstract

Research was conducted to evaluate the effectiveness of various machine learning algorithms, such as Naive Bayes, Support Vector Machine, Random Forest, and Artificial Neural Network (ANN), in predicting and classifying data. Naive Bayes proved to be efficient and accurate in structured data classification, such as predicting alumni's waiting time to get a job (94%) and vocational school students' job readiness (96.95%). On the other hand, neural network methods such as ANN and GRNN are superior in handling non-linear regression problems, such as house price prediction or college students' study period, although there is still room to improve accuracy. Random Forest is more suitable for complex data, while Naive Bayes is more effective for simple data. This research emphasizes the importance of selecting relevant variables, such as gender, major, and GPA, to improve model performance. Therefore, the selection of machine learning methods should be tailored to the type of data and the purpose of the analysis, as each algorithm has its own advantages and disadvantages.
Co-Authors A.A. Ketut Agung Cahyawan W Abubakar, Rafeah Abubakar, Rafeah Adi Sucipto, Adi Aimmah, Aisy Wildatil Albino, Kevin Aminatun Amiruddin Amiruddin Ardha, Dea Justicia Awalia, Wulan Badrotinnajah, Arju Batubara, Mustopa Marli Darmawati Darmawati Dedy Irawan Dewi, Linda Atika Diana, Raden Rachmy Dwi sona EKO HARYADI Euis Ismayati Fadhly, Ahmad Fatiyah, Salsabila Febriyani, Evy Fibrianto, Sutrisno Grace, Patricia Gunawarman Habib Ismail, Habib Haniza, Sjelly Hariyadi, Wicaksono Putra Haryadi, Wicaksono Putra Herdyan, Rafi Dhianaufal Herman Bedi Agtriadi, Herman Bedi Islamiyah, Anisatin Julianda, Pito Jusi, Ulfa Karima, Annur KOMALASARI, YULI La Goa, Yusnita Lestari, Sri Maria Puji Liyantono . luqman M. Yusuf Arifin, M. Yusuf Maemonah, Maemonah Meini Sondang Sumbawati Miranti Miranti Mohamad, Che Wan Sharifah Robiah Mualip, Mualip Muarofah Ghofur, Muarofah Muhammad Taufiq Munir, Ryaas Mishbachul Nur’ainy, Nur’ainy Oki Darmawan Padua, Agustinus Medi Prasetyo, Dian Estu Pristianto, Hendrik Rakhmat, Rakhmat Rakhmayanti, Dyah Ricky, Zuhar Rifki, Muhamad Fahri Nur Rita Rahmawati Rito Cipta sigitta Hariyono Rohmat, Xepy Abdul Rudi Salam Sinaga Salfa, Refanti Saliyati, Nova Meysila Samsuniyah, Samsuniyah Sandayanti, Vira Santoso, Haris Saputra, Muhamad Adi Saraswati, Nurul Mega Sari, Mona Sari, Nelfa Silmiati, Silmiati Sudarsono Supratama, Riky Suyadi Suyadi Syafrowi, M. Mualla Syahril, Ahmad Syukira, Nikma Syukira Tri Suciati Utami, Deviani Utomo, Sabrina Salsabila Victor Simanjuntak Vitamia, Cszahreyloren Yasintha Sari Pratiwi YB Andre Marvianta Yessie Widya Sari Yusril Yusuf Zaili Rusli