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All Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)
Saskia Lydiani
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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FUZZY INFERENCE SYSTEM UNTUK MENDETEKSI KESEHATAN MENTAL MAHASISWA Nawindah Nawindah; Saskia Lydiani
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 6 No. 2 (2020)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.918 KB) | DOI: 10.33197/jitter.vol6.iss2.2020.368

Abstract

Kesehatan mental sangat dibutuhkan oleh mahasiswa umumnya di usia remaja memiliki masalah kejiwaan yang lebih tinggi untuk itulah diperlukan adanya psikolog sebagai sarana komunikasi, konsultasi untuk memberikan solusi atas permasalahan yang dihadapi. Saat ini konsultasi dilakukan langsung menemui Psikolog tanpa adanya sebuah alat deteksi gejala kesehatan mental. Fuzzy inference system digunakan dalam menentukan level gejala kesehatan mental mahasiswa. Tools yang digunakan adalah R language dengan data sampel mahasiswa Universitas Budi Luhur. Hasil penelitian ini menjelaskan bahwa dengan menggunakan fuzzy inference system Mamdani metode centroid dengan aturan -aturan (rules) menggunakan IF dapat dengan mudah diketahui gejala kesehatan mental mahasiswa berada pada level tertentu.
FUZZY TSUKAMOTO FOR DETECTION OF STUDENTS 'MENTAL HEALTH LEVEL Nawindah Nawindah; Saskia Lydiani
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 7 No. 2 (2021)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.272 KB) | DOI: 10.33197/jitter.vol7.iss2.2021.583

Abstract

During a mental health pandemic, students who generally have higher mental health problems need a means of detection in order to find out the symptoms that arise. Fuzzy Tsukamoto was used to determine the level of mental health disorders in students with a sample of Budi Luhur University students. The results showed that by using the Tsukamoto fuzzy rule using the IF THEN, it was easy to determine the level of mental health disorders of students at a certain level.
FUZZY TAKAGI-SUGENO-KANG FOR MENTAL HEALTH CONSULTATION RECOMMENDATIONS Nawindah Nawindah; Saskia Lydiani
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 1 (2021)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (846.73 KB) | DOI: 10.33197/jitter.vol8.iss1.2021.748

Abstract

The condition of students experiencing trauma makes consultation a necessity, there is no mental health examination that can be accessed by students, parents, psychologists, student affairs using the fuzzy Takagi-Sugeno-Kang method so it is necessary to be able to create a recommendation system for student mental health consultations by using fuzzy Takagi-Sugeno-Kang. In accordance with the case given, each student with a neurosis score of 8, psychoactive substances 11, psychotic 10 and post stress trauma disorder 13 had a mental health symptom level of 24.28, meaning they were at a moderate level. With a mental health recommendation system, it can be handled earlier so that learning activities can run according to the desired achievements.
Co-Authors Nawindah, Nawindah