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All Journal Jurnal Ilmiah Universitas Batanghari Jambi JSiI (Jurnal Sistem Informasi) Progresif: Jurnal Ilmiah Komputer bit-Tech Jurnal Sisfotek Global Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Sisfotek Global Academic Journal of Computer Science Research (AJCSR) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Tren Bisnis Global JPEG Jurnal Topik Global
M. Bucci Ryando
Institut Teknologi dan Bisnis Bina Sarana Global
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Journal : Tematik : Jurnal Teknologi Informasi Komunikasi

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Perbandingan Klasifikasi Tipe Kesuksesan Generasi Z Menggunakan Algoritma Naïve Bayes dan Decision Tree Novara Aulist Zakia; Ryando, M. Bucci; Agung, Halim
TEMATIK Vol. 12 No. 1 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i1.2334

Abstract

This study aims to classify the types of success of Generation Z using the CRISP-DM method approach and using the Naïve Bayes and Decision Tree algorithms. Generation Z who grew up in a digital environment has a unique view of the meaning of success, which is no longer limited to income or position, but also includes life balance and self-development. This study identifies several important factors such as educational background, technological skills, work experience, personal branding, and use of social media as determining variables in the classification of types of success. The classification model produces four main categories of success, namely financial, career, self-development, and life balance. The results showed that life balance was the most dominant category of success among respondents. The use of the Naïve Bayes and Decision Tree algorithms showed that Decision Tree with balancing techniques (random oversampling) provided the highest classification accuracy, which was 94%, compared to Naïve Bayes which only reached 37%. This study makes an important contribution to the development of human resource strategies, education, and policies that are relevant to the characteristics and aspirations of Generation Z in the digital era.
Co-Authors Achmad Sidik Akbar, Muhammad Ikmal Arni Retno Mariana Batu Bara, Muhamad Aldi Mudin Bijaksana, Rhafael Dedi Dedi Dedi Dedi Eka Sumiati Ferry Maulana Ibrahim Fredy Susanto Hadinata, Wira Haerunnisa, Siti Halim Agung Haromaen, Muhammad Hidayatullah, Ilham Khoirul Anwar Makmur Raya Maruf, Rohim Muhamad Naufal Robih Nabila Ana Mantika Novara Aulist Zakia Nur Asiyah Nurholipah Nurholipah Nurmaesah, Nunung Piskana, Marthin Pudoli, Ahmad Rahmat Tullah Ramadhanti, Nur Fairus Raya, Makmur Ridwan Abdul Hakim Saepul Nazar Septihadi, Ali Nugroho Sidik , Achmad Sidik, Achmad Siti Maesaroh Sri Rahayu Syifa Aulia Tasya Amelia Tina Amalia Triono Triono Wahyu Nurifai Widiawati Widiawati Zainul Hakim