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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) International Journal of Artificial Intelligence Indonesian Journal of Electrical Engineering and Computer Science International Journal of Recent Technology and Applied Science (IJORTAS) International Journal of Law and Public Policy (IJLAPP) Journal of Engineering, Technology, and Applied Science (JETAS) Journal of Humanities and Social Science (JHASS) Jurnal Sains dan Teknologi Jurnal Teknologi dan Vokasi Advance Sustainable Science, Engineering and Technology (ASSET)
Panessai, Ismail Yusuf
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences

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SISTEM CERDAS PENDIAGNOSIS KECANDUAN INTERNET YANG MENGGUNAKAN SISTEM PAKAR RUNUT MUNDUR Iksan, Nur; Yani, Achmad; Manaf, Abdi; Ismail; Panessai, Ismail Yusuf
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.89-102

Abstract

Starting with COVID19, almost everyone around the world uses the internet, even to the worrying stage, namely internet addiction. Several studies report that the level of addiction to using the internet network is getting higher even though COVID19 has subsided. Teenagers have not been able to choose useful internet connection activities and they are more prone to experiencing bad influences from the social environment. To overcome this they need support from psychologists so they can prevent and diagnose early before they become sufferers of severe internet addiction. But on the other hand, the number of psychologists who can help is still very limited, especially in small towns. In addition, economic factors and limited time for parents to accompany their children to visit psychologists are the main obstacles. Therefore it is necessary to find a solution that can overcome the limitations and barriers to adolescents in obtaining services from a psychologist. One solution to this problem is to build an expert system that can work as a psychologist. The purpose of this research is to build an expert system application for diagnosing internet addiction using the backward chaining method. Internet addiction level is categorized in low, medium and high. System testing is carried out using black box testing which allows experts to obtain a set of output conditions that will carry out all functional requirements of the program. This test shows that the inout and output data has been running as expected.
Co-Authors Abd Arif, Harleny Abdulbaqi, Azmi Shawkat Abdulbaqie, Azmi Shawkat Adhika Pramita Widyassari Aditya Rahman, Raden Topan Afriani Agus Lokman Sulam Amir Hamzah, Fikri Nur Izzudin Apandi, Suliza Azizi , Muhammad Arief Azmi Shawkat Abdulbaqie Balasingam, Sheshalani Bilong, Aldrin Aran Dansy, Sholestica Elmie Dedy Iskandar Effendi, Eddy Esro, Mazran Esti Yuandari, Esti Fernandes, Atman Lucky Fujita, Shunya Hendro Wahyudiono, Pratiwi Hishamuddin Ahmad Hossain, Md Meem Ika Mardiatul Ulfa, Ika Mardiatul Indra Gunawan Ismail Ismail Ismail Ismail Ismail Yusuf Panessai Ismail, Andi Almeira Zocha Ismail, Andi Regina Acacia Jonathan Rante Carreon Krishna Pillai, Salini Lakulu, Muhammad Modi Lensi Natalia Tambunan, Lensi Natalia Mahmood, Sawsan. D Majid, Sanusi Manaf, Abdi Maulana, Mirza Arif Mohana, Dharnishaa Mohd Razimi Husin Mohd Zulkefli, Nurul Akhmal Ningsih, Fitriani Norliza Abdul Majid Novaliyan, Alvin Rangga Nur Diyana Nur Iksan Olva, Maria Pratiwi Reza Nandika Saad, Ahmad Fadli Saif Al-din, Saif, M. N. Sakamoto, Kenji Salini Krishna Pillai Siva Kumar Subramaniam Subramaniam, Siva Kumar Suganda, Afdal Takahashi, Hiroko Veza, Okta Yani, Achmad Yusuf, Achmad Yani Zapiee, Mohd Khuzaimi Zariman, Asnazulfadhli