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All Journal Jurnal Media Infotama Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Ilmiah Pendidikan dan Pembelajaran Jurnal Sistem Cerdas JSAI (Journal Scientific and Applied Informatics) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Applied Computer Science and Technology (JACOST) Jurnal Abdimas Serawai DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Komputer, Informasi dan Teknologi JIMAKUKERTA JURNAL BESEMAH Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat Ilmu Komputer Jurnal TAM (Technology Acceptance Model)
Wijaya, Ardi
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Journal : Jurnal Informatika: Jurnal Pengembangan IT

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Perbandingan Metode KNN dan Naïve Bayes dalam Deteksi Tingkat Stres Berdasarkan Ekspresi Wajah Alamsyah, Malik Fajar; Wijaya, Ardi
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 2 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i2.8513

Abstract

Stress is a feeling in which a person feels under pressure, overwhelmed, and has difficulty in dealing with a problem. Stress can be caused by various factors, such as academic pressure, work, personal problems, or social environment. If not addressed immediately, stress can have adverse effects on an individual's health, such as causing high blood pressure, heart disease, sleep disturbances, and a decreased immune system, which makes a person more vulnerable to various diseases. Therefore, monitoring stress levels is very important to prevent more serious negative impacts. Generally, stress detection is done through consultation with a psychologist, but this method has a subjective nature and requires a lot of time and money. Therefore, this research develops a computer vision-based stress detection system using OpenCV and Dlib, with K-Nearest Neighbors and Naïve Bayes algorithms. The data of 500 samples is divided into 80% training data and 20% test data. Features were extracted, and stress was classified into three levels: low, medium and high. Evaluation using k-fold cross-validation (n_split=10, random_state=42) based on accuracy, precision, recall, and F1-score. The results showed that K-Nearest Neighbors with k=5 excelled with 74% accuracy, 73% precision, 73% recall, and 73% F1-score. Meanwhile, Naïve Bayes only achieved 52% accuracy, 51% precision, 48% recall, and 41% F1-score. This shows that KNN is more effective in stress level classification. However, the accuracy of the model is still limited due to the small amount of training data. Parameter optimization and dataset addition are required to improve the overall system performance.
Co-Authors Abdul Syukur Abdullah, Dedy Ade Ferdiansyani Agus Setiawan Agustio, Faidillah Alam, RG.Guntur Alamsyah, Malik Fajar Alfarrizi, Jhodie Andilala Anggara, Muhammad Andre Aprianti, Zalia Apridiansyah, Yovi Ardiansyah, Adidi Muhammad Ardoni, Yoan Ariestanto, Dian Arif Setiawan Avida, Meny Dandi Sunardi Darnita, Yulia David Maria Vironika, Nuri Della, Della Rahma Dita, Willia Cahaya Fadli, Rengga Fadlikal Ilham Aditma, Afredo Febitri, Nora Febriani, Lovi Feni, Rita Fernando, Jerry Franata, Heru Gunawan Gunawan Guntur Alam Gustomi, Aldi Hariani, Merti Sri Hendri Wibowo, Sastya hidayah, agung kharisma Hidayat, Muhammad Husni Ikhlasul, Ridho Imanullah, Muhammad Janati, Iffah zafira Juhardi , Ujang Juhardi, Ujang Juliza, Sita Khairullah, Khairullah Kharisma , Agung Kirman Kirman, Kirman Kontesa, Ronaldo Kornengsih, Resnita Kurniawan, Edo marhalim, marhalim Maulana, M Fiqri Mawarni, Shindy Meyzera, Anes Muhammad Danil, Muhammad Mulyadi, Maheran Muntahanah, Muntahanah Mutiara Hikmah Nandika, Arjun Putra Nur'aini, Nur'aini Nurhayati Nurhayati Pahriza, Pahriza Pahrizal Pahrizal, Pahrizal Pirdaus, M Sapta Putra, Muhammad Ardiansah Putra, OJi Herwanda Putra, Riky Ade Putri, Dinda Raffles, Richard Rahmat, Deki Ramadhan, Arya Gilang Rasyid, Muhammad Soelaiman Renaldi Renaldi Rifqo, Muhammad Husni Rohman, Mohammad Abkar Nur Rosalina Rosalina Rozali Toyib Safitri Safitri Sahputra, Eka Selta Jaya Putra Sonita , Anisya Sonita, Anisya Sulaini, Soneta Supriatin Supriatin, Supriatin Surya Ade Saputera Tamara, Vivin Thiara, Rekhi Toyib, Rozali Umasih Umasih Veronica, Nuri David Maria Veronika, Nuri David Maria Waluyo Witriyono, Harry Yawahar, Jon Yuda, Azildjian Arma Yulia Darmi yuliadarnita, yuliadarnita Yuza Reswan