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Journal : Jiko (Jurnal Informatika dan komputer)

MOBILE APPLICATION FOR IDENTIFICATION OF EMPLOYEE STRESS PATTERN USING DEEP LEARNING APPROACH Sawali Wahyu; Silvia Ratna Juwita; Ryan Putra Laksana; Lista Meria
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 1 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i1.11527

Abstract

Employee stress has become a critical issue affecting organizational productivity, well-being, and performance, especially in dynamic work environments. This study proposes an integrated mobile-based stress prediction and recommendation system that combines Long Short-Term Memory (LSTM) and Neural Collaborative Filtering (NCF) to identify employee stress levels and provide personalized improvement recommendations. Experimental evaluation using 1000 datasets was used to test the LSTM and NCF models. The LSTM model was used to predict stress levels due to its ability to capture complex patterns in multidimensional data, while NCF was used to generate personalized recommendations based on collaborative patterns. The results showed that the LSTM model achieved superior classification performance with 98% accuracy and the recommendation evaluation showed good convergence performance, with a Hit Ratio reaching 0.92 and a Normalized Discounted Cumulative Gain (NDCG) reaching 0.89, indicating high recommendation relevance. Furthermore, the system usability evaluation using the System Usability Scale (SUS) involving 30 respondents resulted in an average score of 80.81, which is categorized as excellent usability. The integration of deep learning and collaborative filtering into a mobile platform provides an effective and intelligent solution for employee stress prediction and intervention. This study contributes to the development of an adaptive occupational health monitoring system and demonstrates the potential of AI-based mobile applications in supporting mental health management in the workplace.
Co-Authors Abadi, Ferryal Abshor Marantika Agustina, Noni Alexander William Aliyah Zahrah Amroni Andriyansah . Anggy Giri Prawiyogi Antonius Ardi Fadilah Aropria Saulina Panjaitan Atiya Fadila Awhina, Ridan Ahsani Te Bangun, Cicilia Sriliasta Binastya Anggara Sekti Bintoro, Annida Ningrum Budi Tjahjono Corry Yohana D. Santiago, Nila Desy Prastyani Deva Rivelino Devyani, Shindy Dita Indriyani Djatmiko, Budi Dudhat, Amitkumar Duwi Juliansah, Muhamad Alfi Dwi Andayani, Dwi Dwi Apriliasari Edwards, John Elistia, Elistia Euis Sadeli Fabian, Stefanus Fauziah, Zaleha Felix Sutisna Gunawan, Michael Surya Hasanah, Ananda Uswatun Hayadi, Bambang Herawan Hendy Tannady Insanita, Rizqiah Isabella Maria Jovita Nathania Julianingsih, Dwi Kosasih, Fajar Gumilang Kundang Karsono Lukita Pasha Manawar, Albert Meria, Lista Meria Mira Kartika Dewi Djunaedi Mitsalina Tantri Mulyaningsih, Putri Muniroh, Muniroh Mustopa Mustopa Naibaho, Santy Berliana Nastavia Putri Nina Nurhasanah, Nina Ninda Lutfiani Nizirwan Anwar Patel, Aroha Pranata, Sudadi Priandito Primasatria Edastama, Primasatria Putri, Sonia Yunisya Rahmawati, Wulan Regina Deka Sofia Riya Widayanti Rojuaniah Rojuaniah Ruhiyat, Imam Ryan Putra Laksana Safariningsih, Ratna Tri Hari sari budiarti Saukani Saukani Saukani Saukani Saukani Sawali Wahyu Silvia Ratna Juwita Simorangkir, Holder Sita Husnul Khotimah, Sita Husnul SOLAHUDIN SOLAHUDIN, SOLAHUDIN Sri Mulyani Sri Mulyani Sri Rosmalina Soejono Sri Watini Subagyo, Luthfina Tsabitah Sunarjo, Richard Andre Suriyadi, Suriyadi Suryani Purnama Suryari Purnama Syah, Tantri Yanuar Rachmat Syamsiar, Syamsiar SYAMSUL HIDAYAT Syauqy, Muhamaad Rifat Tatik Mariyanti, Tatik Toh Hua, Chua Tri Ismardiko Tuti Nurhaeni Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Unggul Purwohedi Untung Rahardja Utami, Naning Putri Viatiningsih, Wiwik Victorianda Widodo, Agung Mulyo Yulfitri, Alivia Yunita Fauzia Achmad Zanubiya, Jihan