Diagnosa Gejala Kecanduan Bermain Game Online dengan Metode Fuzzy Tsukamoto dan Fuzzy Sugeno


  • Rivaldi Okta Pratama Universitas Nasional, Jakarta, Indonesia
  • Agung Triayudi * Mail Universitas Nasional, Jakarta, Indonesia
  • Arie Gunawan Universitas Nasional, Jakarta, Indonesia
  • (*) Corresponding Author
Keywords: Method; Logic; Fuzzy Tsukamoto; Fuzzy Sugeno; Online Game; Addicted

Abstract

In this increasingly developing era, online games are a type of game that can provide its own pleasure for its users. Because of that, many people play online games continuously until they forget the time, it can even become addictive. Not many people have the opportunity and willingness to consult an expert to overcome their addiction. Therefore, an expert system is needed to diagnose online game addiction symptoms. With this research, an expert system was produced to diagnose symptoms of addiction to playing online games, which makes it easy to use. This expert system produces output in the form of a diagnosis whether a person is addicted to playing online games or not. Tsukamoto's fuzzy logic method is one method for a good problem solving control system to implement. The Sugeno fuzzy logic used in the expert system in this study functions to seek and find solutions to symptoms of addiction to playing online games. The results of this study can compare the Sugeno fuzzy with the Tsukamoto fuzzy to find the intended value or success by comparing the two fuzzy to find the highest value in this study. The results of this study obtained an accuracy value of 100% from 100 sample data.

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References

T. Harriguna and T. Wahyuningsih, “Kemajuan Teknologi Modern untuk Kemanusiaan dan Memastikan Desain dengan Memanfaatkan Sumber Tradisional,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 2, no. 1 Juni, pp. 65–78, Jun. 2021, doi: 10.34306/abdi.v2i1.448.

A. V. N. A. Kosasih, S. Sarbini, and A. Mulyana, “Leisure Boredom dan Religiusitas: Pengaruhnya terhadap Kecenderungan Adiksi Internet,” Psympathic : Jurnal Ilmiah Psikologi, vol. 8, no. 1, pp. 47–56, Jul. 2021, doi: 10.15575/psy.v8i1.12352.

T. W. Utami and A. Hodikoh, “KECANDUAN GAME ONLINE BERHUBUNGAN DENGAN PENYESUAIAN SOSIAL PADA REMAJA,” Keperawatan, vol. 12, pp. 17–22, 2020.

T. Denda, D. Wahiddin, A. Fitri, and N. Masruriyah, “Implementasi Algoritma Certainty Factor pada sistem pakar untuk Mendeteksi Kecanduan Online Games,” vol. III, no. 2, 2022.

Nisrinafatin, “PENGARUH GAME ONLINE TERHADAP MOTIVASI BELAJAR SISWA,” Edukasi Nonformal, vol. 1, no. 1, pp. 135–142, 2020.

M. Ilham Rofiqi and hindarto hindarto, “Analisis Kecanduan Game Player Unknown’s Battlegrounds(PUBG) Mobile dengan Menggunakan Logika Fuzzy,” vol. 7, pp. 97–102, Feb. 2021.

E. Proborini and U. Ulfa, “Analisis Dampak Kebiasaan Bermain Game Online Berlebihan pada Pelajar,” 2020.

S. Kartika Wibisono and A. Tri Wulandari, “Rancangan Bangun Sistem Pakar Diagnosa Gejala Kecanduan Game Online Pada Remaja Menggunakan Metode Certainty Factor,” vol. 2, no. 1, pp. 17–23, 2021, [Online]. Available: http://creativecommons.org/licences/by/4.0/

M. Mujib and A. Khafid, Expert System Detecting Symptoms of Game Addiction with The Forward Chaining Method and Certainty Factor. 2021.

H. Basri and M. A. Rosyid, “Aplikasi Pendeteksi Kecanduan Bermain Game Free Fire Berbasis Android Dengan Menggunakan Logika Fuzzy Tsukamoto,” 2021.

H. E. Putra, “SISTEM PAKAR DETEKSI DIGITAL KECENDERUNGAN KECANDUAN GAME PADA REMAJA MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB,” vol. 10, Jan. 2022.

S. Pinontoan and I. Alwiah Musdar, “PERBANDINGAN METODE FUZZY SUGENO DENGAN FUZZY TSUKAMOTO PADA SISTEM PREDIKSI HARGA SMARTPHONE BEKAS BERBASIS ANDROID DI WILAYAH MAKASSAR,” 2020.

S. M. Saragih, A. Lestari, and M. S. Hutasuhut, “Implementasi Fuzzy Tsukamoto Dalam Menentukan Upah Gaji Karyawan Perbulan,” Implementasi Fuzzy Tsukamoto Dalam Menentukan Upah Gaji Karyawan Perbulan, vol. 1, pp. 105–110, 2020.

D. Putri and P. Astuti, “PENERAPAN METODE FUZZY TSUKAMOTO DAN FUZZY SUGENO DALAM PENENTUAN HARGA JUAL SEPEDA MOTOR,” UNNES Journal of Mathematics, vol. 9, no. 2, 2020, [Online]. Available: http://journal.unnes.ac.id/sju/index.php/ujm

S. Abdi and Y. Karneli, “KECANDUAN GAME ONLINE: PENANGANANNYA DALAM KONSELING INDIVIDUAL,” 2020. [Online]. Available: https://uia.e-journal.id/guidance

A. M. Aziz, Y. B. Utomo, D. E. Yuliana, I. Kadiri, and K. Kediri, “Implementasi Metode Certainty Factor Berbasis Android Pada Sistem Pakar Diagnosa Kecanduan Smartphone,” 2022.

N. Harefa and M. Marbun, “IMPLEMENTASI LOGIKA FUZZY MAMDANI UNTUK MENGIDENTIFIKASI TINGKAT KECANDUAN PELAJAR TERHADAP GAME ONLINE,” JOISIE Journal Of Information System And Informatics Engineering, vol. 4, no. Desember, pp. 128–138, 2020.

Rawansyah, Sofyan Noor Arief, and Aryan Nasikhul Amin, “Sistem Pakar Diagnosa Tingkat Kecanduan Online Game Mahasiswa Teknik Informatika Politeknik Negeri Malang Dengan Metode Certainty Factor,” SIAP, 2020.

N. Savira Pasaribu, J. Tata Hardinata, H. Qurniawan, S. Tunas Bangsa Pematangsiantar, N. Sumatra, and J. A. Sudirman Blok No, “Application of The Fuzzy Tsukamoto Method in Determining Household Industry Products,” 2021. [Online]. Available: https://ioinformatic.org/

R. Akbar, E. Itje Sela, and M. Informatika UIN Sunan Kalijaga Yogyakarta, “ANALISIS PERBANDINGAN FUZZY TSUKAMOTO DAN SUGENO DALAM MENENTUKAN JUMLAH PRODUKSI KAIN TENUN MENGGUNAKAN BASE RULE DECISION TREE,” vol. 7, no. 1, pp. 171–180, 2020, doi: 10.25126/jtiik.202071751.


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Article History
Submitted: 2023-01-23
Published: 2023-02-25
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