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All Journal JURNAL SISTEM INFORMASI BISNIS POSITRON Jurnal Keteknikan Pertanian Komunikasi Fisika Indonesia TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JURNAL FISIKA Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Sinergi Journal of Aceh Physics Society Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL MEDIA INFORMATIKA BUDIDARMA IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Electrical Engineering and Computer Science Unri Conference Series: Community Engagement Indonesian Journal of Physics (IJP) Kanun: Jurnal Ilmu Hukum Science, Technology, and Communication Journal
Saktioto Saktioto
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics

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Journal : IT JOURNAL RESEARCH AND DEVELOPMENT

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The Classification of Children Gadget Addiction: The Employment of Learning Vector Quantization 3 Okfalisa Okfalisa; Elvia Budianita; Musa Irfan; Hidayati Rusnedy; Saktioto Saktioto
IT Journal Research and Development Vol. 5 No. 2 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.vol5(2).5681

Abstract

The addiction of children to gadgets has a massive influence on their social growth. Thus, it is essential to note earlier on the addiction of children to such technologies. This study employed the learning vector quantization series 3 to classify the severity of gadget addiction due to the nature of this algorithm as one of the supervised artificial neural network methods. By analyzing the literature and interviewing child psychologists, this study highlighted 34 signs of schizophrenia with 2 level classifications. In order to obtain a sample of training and test data, 135 questionnaires were administered to parents as the target respondents. The learning rate parameter (α) used for classification is 0.1, 0.2, 0.3 with window (Ɛ) is 0.2, 0.3, 0.4, and the epsilon values (m) are 0.1, 0.2, 0.3. The confusion matrix revealed that the highest performance of this classification was found in the value of 0.2 learning rate, 0.01 learning rate reduction, window 0.3, and 80:20 of ratio data simulation. This outcome demonstrated the beneficial consequences of Learning Vector Quantization (LVQ) series 3 in the detection of children's gadget addiction.
Co-Authors ', Hotmariani Abdillah, Rahmad Abdul Sadad Abdullah, Hewa Yaseen Agrina, Agrina Agustin, Detlamasi Aisah, Nurul Andika Thoibah Andika Thoibah Andri Saputra Anggraini, Wresni Anggraini, Wresni Angraini, Cici Yana Tasya Anita, Sofia Ari Sulistyo Rini Arpyanti, Nisa Asyana, Vepy Awitdrus Awitdrus, Awitdrus Azhar Azhar Aziz, Muhammad Safwan Abd Azwir Marwin B. Pranggono Bambang Widiyatmoko Bambang Widiyatmoko Basdyo, Doni Basdyo, Doni Bibara, Kushkimbayeva Budi Astuti Dadang Syarif Sihabudin Sahid Dasta, Vicky Vernando Dedi Irawan Dedi Irawan dedi irawan Dedi Irawan Defrianto Defrianto Delovita Ginting, Delovita Deprianto Deprianto Dewi Indriyani Roslim Dewi Kurnia Dewi Mulfida Dian Putri Oktavia, Dian Putri Didik Puji Sutriyono Dina Veranita Dino Yanuardi Doni Basdyo Dwi Hanto Dwi Hanto Dwi Utari Iswavigra Dwi Utari Iswavigra Eka Armas Pailis Elin Haerani Haerani Elisa Saadah Elvia Budianita Erin Mazelly Hutapea Erlinda, Sopya Erman Taer Erwin Amiruddin Erwin Erwin Fadhali, Mohammed Fadhali, Mohammed M Fairuz Diyana Ismail Faisal Saeed Febi Dwi Fadilla Febri Yuliani Feri Candra Fitmawati Fitmawati Fitmawati Fitmawati Fitri Insani Gita Rahayu H.M. Hairi Haerani, Elin Haerani Hairi, Haryana Mohd Hamdi, Muhammad Harmailil, Ihsan Okta Haryana bin Mohd Hairi Haryana Hairi Haryana Hairi Heru Santoso Husna, Ropiqotul Idjang Tjarsono Ikhsan Rahman Husein Insani, Fitri Irvan Rahmat Iswavigra, Dwi Utari Iwantono Iwan Barnawi J. Ali Jalil Ali Juandi Juandi Kasri, Anshori Khaikal Ramadhan Khaikal Ramadhan Kurnia, Erwin M Ikhsan M.S. Roslana Mahyarni - Maikul, Kusherbayeva Marwin, Azwir Mesra Sania Meyzia, Bunga Minarni Minarni Minarni Shiddiq, Minarni Moh Danil Hendry Gamal Mohammad Fisal Rabin Muhammad Absor Muhammad Edisar Muhammad Hamdi Muhammad Sahal Mulfida, Dewi Murniati Murniati Musa Irfan Nandita Devira Nelda Ipkawati Neneng Fitrya Nurpadilla, Rani Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa, Okfalisa Okfalisa, Okfalisa Pranggono, B. Rabin, Mohammed Fisal Rahma Dewi Rahmad Abdillah Rahmondia Nanda Setiadi Rakhmawati Farma Ramadhan, Khaikal Ramadhani, Fatima Nur Reeky Fardinata Riad Syech Riad Syech Ridho Kurniawan Rina Amelia Rina Amelia Rini, Ari Sulistyo Rini, Ari Sulistyo Risanto, Joko Roby Ikhsan Romi Fadli Syahputra Ronald, Azza Roni Salambue Ros Meri Ros Meri Rosnita Rosnita Rusnedy, Hidayati S. P. Dewi S.S.M. Fauzi S.S.M. Fauzi Sakinah, Feby Nur Samudra, Mohd Rendy Septi Pramuliawati Septia Anugrah Septian Nugraha Siti Nurul Alifah Soerbakti, Yan Sofia Anita Sugianto ' Suhaivi Hamdan Suhaivi Hamdan Suhardi Suhardi Sutoyo Sutoyo Syahril Syahril Syamsudhuha Syamsudhuha Taofeeq D Moshood Tengku Emrinaldi Teodora Maria Meliati Sinaga Theresa Febrina Siahaan Velia Veriyanti Vepy Asyana Veriyanti, Velia Wahyu Candra Wahyudi, Dilham Wardana, Fiqra Wresni Anggraini Wresni Anggraini Wresni Anggraini Wresni Anggraini Yan Soerbakti Yan Soerbakti Yan Soerbakti Yan Soerbakti Yana, Debi Yolanda Rati Yoli Zairmi Yunita I. Lubis Yupapin, Preecha Yurike Asra Zahidah Zulkifli Zahroh, Siti Zairmi, Yoli Zamri Zamri Zamri, Zamri Zulkarnain Zulkarnain Zulkarnaini Zulkarnaini