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Journal : NERO (Networking Engineering Research Operation)

ANALISIS KINERJA ALGORITMA PEMBELAJARAN MESIN ENSEMBEL PADA DATASET MULTI KELAS CITRA JAFFE Azis, Huzain; Alisma, Alisma; Purnawansyah, Purnawansyah; Nirmala, Nirmala
NERO (Networking Engineering Research Operation) Vol 9, No 2 (2024): Nero - 2024
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v9i2.27872

Abstract

This research aims to develop a facial expression recognition system based on the JAFFE dataset which includes seven classes of emotional expressions, namely happy, sad, angry, afraid, disgusted and neutral expressions. The first step taken is canny segmentation on each dataset to maintain essential information on each face. Next, extraction was carried out using the hu moments method to gain an in-depth understanding of the important characteristics of facial expressions. The next process involves ensemble voting using five classification methods, namely Naive Bayes (NB), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Gaussian Process Classifier (GPC), and Decision Tree. The results of these five methods are then ensembel using voting techniques, and the final results are evaluated using performance metrics such as accuracy, precision, recall, and F-1 score. Evaluation is carried out by comparing the final results with the original data from the JAFFE dataset, by measuring accuracy , precision, recall, and F1 Score value to evaluate system performance. The results of this research show that the ensemble voting approach using a combination of classification methods is able to significantly improve facial expression recognition capabilities. The resulting accuracy, precision, recall, and F1 Score values provide a comprehensive picture of system performance.  This research contributes to the development of facial emotion recognition technology and can be applied in various contexts. Includes human-computer interaction as well as applications in the fields of artificial intelligence.Keywords: Performance Analysis, Ensemble, Jaffe Image, Classification, Multiclass
Co-Authors Abednego Dwi Septiadi Abidah, Husna Adnan Sauddin Afreni Hamidah Alisma, Alisma Anattri, Lega Anggraeni, Evitri Anggraini, Debie Anhar, Muhammad Anshori, Abdurrahman Ardi Mustakim Arfina, Nabila Arinastuti Arinastuti Astuti, Lutfia Andi Aulia, Firdatul Izza Cahyo, Heru Dea Ananda Dewi, Anita Candra Dian Widyaningrum, Dian Emilia, Esi EVA FARIDAH Fatmawati, Wa Ode Faturrahman, Muh. Ekzah Febriana, Silfani Ajeng Ferlian, Nesti Fitri Rahmawati Fitriah Fitriah Galingga, Galingga Hanifa, Zulfa Nur Hanu, La Harsuti, Harsuti Hasana , Uswatul Herlina, Santi Huzain Azis Ida Usman Indah, Lidya Sri Ratu Irmayanti Ishak , Ishak Jaelan Usman, Jaelan Jufri Karim Karimuna, Siti Rabbani Koesoemasari, Dian S.P. La Ode Nggawu Lestari, Dita Lestari, Herwiek Diyah Luluk Humairo Pimada Ma'ruf, Adnan Maralo Sinaga Marola, Mutmaina Kasandra Maulina Maulina, Maulina Muhammad Ilyas Muhammad Sarlin Mulyadi, Elvaro Islami Nensilianti Nensilianti Nur Hasanah Nur, Arifuddin Nurainun Nurainun Nure khun rikhte husaini Pangestu, Julianteri Kevin Tabah Patmaniar, Patmaniar Prianggada Indra Tanaya Purnawansyah Purnawansyah Qhesya Septian Rahma Triyana Rahmat abidin, Andi Rais.TM, Ahmad Ramadani, Rahma Ramadani, Safitrah Rassy, Regania Pasca Rusli, Tri Indah S, Hasfikin Saddam Husein Salam, Nur Aprilia Mutiara ST JUMAEDA Suarni Syam Saguni, Suarni Syam Sulistiawati, Naqiyyah Aulia SUMARNI Suraidah Suraidah, Suraidah Syah, Fahmi SYAMSU ALAM Syarifaturrahmatullah, Syarifaturrahmatullah Tambunan, Renike Usman, Edi Wahidah Alwi Wahyudi, Rizat WINDRA, WINDRA Wiyatun, Fatasya Yani, Indra Zurweni Zurweni