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All Journal Kanz Philosophia: A Journal for Islamic Philosophy and Mysticism Gender Equality: Internasional Journal of Child and Gender Studies Journal of Applied Information, Communication and Technology (JAICT) Jurnal Teknologi Sistem Informasi dan Aplikasi Satwika : Kajian Ilmu Budaya dan Perubahan Sosial Harmoni Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Indonesian Journal of Religion and Society Jurnal Ners JIKA (Jurnal Informatika) Al-Hikmah Media Dakwah, Komunikasi, Sosial dan Kebudayaan Riwayah : Jurnal Studi Hadis Jurnal Mekanik Terapan PENGABDI: Jurnal Hasil Pengabdian Masyarakat International Journal of Business, Technology, and Organizational Behavior (IJBTOB) Jurnal Ekonomi Hamalatul Qur'an : Jurnal Ilmu Ilmu Al-Qur'an Society: Jurnal Pengabdian Masyarakat Journal of Applied Accounting And Business (JAAB) Jurnal Riset Agama Jurnal Lektur Keagamaan Jurnal Ledalero Journal of Computer Engineering: Progress, Application and Technology Integritas Terbuka: Peace and Interfaith Studies Information Technology Education Journal AMMA : Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Inovasi Teknologi Terapan APPA : Jurnal Pengabdian Kepada Masyarakat Amicus Curiae JURNAL PENA PAUD JPMFKI International Journal of Economics, Business and Innovation Research Media Penelitian dan Pengembangan Kesehatan Indonesian Journal of Economics, Business, Accounting, and Management JURNAL SOSIAL TERAPAN (JSTR)
Daffa, Muhammad
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Journal : Jurnal Teknologi Sistem Informasi dan Aplikasi

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Penerapan Logika Fuzzy Sugeno untuk Deteksi Tingkat Depresi Kerja Karyawan Daffa, Muhammad; Sriani, Sriani
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

The problem of depression levels among employees in a company can have a negative impact on overall performance. Therefore, the company needs additional information as a tool to detect employees' depression levels early and gain an understanding of their level of depression. Researchers applied fuzzy Sugeno to build a model for detecting employees' depression levels based on their psychological data. A dataset including variables such as weight and height, which generate Body Mass Index (BMI) values, and scores from the Patient Health Questionnaire-9 (PHQ-9), was used as input for the model. The data was then transformed into fuzzy set concepts, and fuzzy rules were built based on existing domain knowledge. The model was constructed using 60 employee respondents who had completed the questionnaire. The study utilized the Matlab application, which provides accurate results. The research findings indicate that the fuzzy Sugeno logic model is capable of detecting employees' depression levels, with results showing (63.3%) of employees experiencing mild depression, followed by (31.7%) experiencing moderate depression, and a small percentage of employees experiencing severe depression (5%).
Co-Authors Aang Saeful Milah Achwan, Achwan Agung, Dimas Agus Himmawan Utomo Ahmad Nurkhin Ahmad Rizki, Ahmad Aidil Amri, Muhammad Albar, Ibnu Ananda Fachrul, Nidya Anas Hidayat, Anas Anggara, Indra Anisatur, Rifka Anta Maulana, Achmad Anugraeni, Devitasari Ariyanto Ariyanto Arwansyah , Rifki Astri, Jasya Attala, Ceiza Avrilla, Syafina Nadya Aziz, Riyan Abdul Aziza, Maghfira Nur Azmi, Rifka Nur Azzahra, Nirwana Putri Badrussalam, Robbani Bela Amelia, Cindy Chairunisa, Nabila Dian Chasanah, Munifatul Desta, Nabila Dewi Lestari, Erna Djutalov, Roeslan Dony, Ahmad Rama Dwi Cahyani, Gita Dwi, Dela Dyah Purnamasari Edwar, Ferry Ekayuliana, Arifia Endro Wasito, Endro Eni Dwi Wardihani, Eni Dwi Erwan Efendi Fajariani, Ratna Fajriah, Yesa Farhamzah Fasha, Nadia Fauzan Azhima, Muhammad Ferdian Putra, Verry Feriadi, Indra Fitri Wijayanti Hadi Prayitno, Hadi Hadis Turmudi Hariandja, Andy Martahan Andreas Helmy Helmy, Helmy Heri Santoso Hutama Arif Bramantyo I, Suhendi Ina Sholihah Widiati, Ina Sholihah Joenianto, Heroe Kamil, Fabhian Aliy Rajaie Kamil, Izzan Khairul Anwar, Rizki Khansa, Syafinka Khesa Rhafi, Muhammad Kurnia Prima Putra Kurniawan, Twojar Shahirul Lashwaty, Nina Dewi Leanna Vidya Yovita Liong Ghozaly, Muhammad Miftah, Munasiron Mudrikah, Halimatul Mustika, Rasyidah Nadia Sigi Prameswari Nazwa Fatimah, Adinda Novrihaedi, Dziad Nurmutia, Syahreen Pratama, Fauzan Putu Reza Pratama, I Rafian Syafiq, Fawwaz Raihan Raihan, Raihan Ranlam Hidayat, Adi Rija, Muhammad Rizki Ramadhani Rois, Ibnu Rubieanti, Yuni Salam, Muhammad Abrar Haq Salsabila Shabirah, Farsya Sanjaya, Shendy Saputra, Aril Sarono Widodo, Sarono Septiana Dwiputri Maharani Septiandi, Ade Simbolon, Cahaya Solahudin Suhendi Irawan Sumadi Sumardiyono Sumardiyono Syafi'i, Dyan Tasha Kurnia, Shahnaz Taufiq Yulianto Tody Ariefianto Wibowo Tri Prasetyo Umami, Lutfa Wedadjati, Ratna Sesotya Wiwik Andriani Yamtana Yamtana, Yamtana Yasmine, Amalia YUDI NUR SUPRIADI Yuliana, Lutfi Zahira Umar, Nuur Zakaria, Rais Athfal Zurnan Alfian