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Journal : Jurnal Telematika

Hyperparameter Tuning Feature Selection with Genetic Algorithm and Gaussian Naïve Bayes for Diabetes Disease Prediction Ashari, Ilham Firman; Untoro, Meida Cahyo
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.488

Abstract

Diabetes Mellitus is a disease that occurs due to disorders of carbohydrate, fat and protein metabolism associated with a lack of performance of insulin secretion. Diabetes is a degenerative disease that requires appropriate and serious treatment efforts. The effects lead to various complications of other serious diseases such as heart disease and stroke. Erectile dysfunction, kidney failure, nervous system damage, etc. Because there are so many impacts caused by diabetes, it is important to study this disease. The benefit of this study is to prevent the occurrence of severe complications and can help medical personnel in predicting this disease early and reduce the cost burden that arises due to this problem.  The purpose of this study is to determine the level of accuracy resulting from the use of feature selection with genetic algorithms and nave Bayes. In this study, predictions will be made using hyperparameter tuning with genetic algorithms and Naive Bayes optimization by performing feature selection. After conducting related research, it was found that the accuracy of 17 features using a genetic algorithm was better than modeling with 10 features. By using 17 features and hyperparameter tuning with genetic algorithm and naive Bayes modeling, the accuracy is 93.2%. By using 17 features without feature selection, the accuracy is 91.2%, there is an increase in accuracy of 1.5%.
Co-Authors Achmad Syafriyal Adinda Sekar Tanjung Adrian Putradinata, Gusti Made Afriansyah, Aidil Agustine, Verlina Ahmad Auzan Varian Syahputra Aidil Afriansya Aidil Afriasnyah Ajrina, Fadiah Izzah Akbar, Alvijar Algifari, Muhammad Habib Alkarkhi, Makruf Anastasia Puteri Dewi Andhika Wibawa Bhagaskara Andika Setiawa Andika Setiawan Andre Febrianto Andrianto, Dodi Devrian Ardhi, Alief Moehamad Ardi Gaya Manalu Arimbi Ayuningtyas Arre Pangestu Aryani, Annisa Jufe Azwarman Azwarman Baraku, Randi Clinton, Martin Daniel Rinald Dede Rodhatul Farida Dita Alviuni P Dwi Nugroho, Eko Eka Nur'azmi Yunira Eko Dwi Nugroho Eko Dwi Nugroho Eko Dwi Nugroho Fadhillah A Fikri Halim Ch Filiana, Edinia Rosa Fil’aini, Raizummi Gunawan, Rayhan Fatih Hendri Tri Putra Idris, Mohamad Jaya Megelar Cakrawarty Laisya, Nashwa Putri Leonard Rizta Anugrah P Liwardana, Ridho Londata, Hafizh M. Daffa M. Fazar Zuhdi Majesty, Achmad Bany Marbun, Rustian Afencius Mastuti Widianingsih, Mastuti Muhammad Abdul Mubdi Bindar Muhammad Affandi Muhammad Afif H Muhammad Alfarizi Muhammad Najie K Muhammad Rizky Hikmatullah Muhammad Telaga Nur Muhammad Tyaz Gagaman Muhammad Yusuf Nashrullah, Muhammad Nazla Andintya W Nela Agustin Kurnianingsih Novri Yanda, Ilham Nur'azmi, Eka Nurhayati, Misfallah Nuril Humaya Perdana Raga Winata Permana, Raden Chrisna Trie Hadi Praseptiawan, Mugi Prasetyawan, Purwono Radhinka Bagaskara Rahmat Setiawan Raidah Hanifah Raidah Hanifah Revangga, Dwi Arthur Ringgo Galih Sadewo Romantika Banjarnahor Salman Damanhuri Samsu Bahri Satria, Mahesa Darma Sekar A Sianturi, Elsa Elisa Yohana Sicilia Putri Aisyah Sinaga, Nydia Renli Sinaga, Rutlima Siraz Tri Denira Siregar, Abu Bakar Siddiq Sisilia Juli A Siwi, lkhsanudin Raka soleha, Ayu Sophia Nouriska Syamsyarief Baqaruzi Untoro, Meida Cahyo Utoro, Meida Cahyo Vanesa Adhelia Vebriyanto, Mario Verdiana, Miranti Verlina Agustine Vina Oktarina Wicaksono, Ihtiandiko Winda Yulita Yulita, Winda Yunira, Eka Nur'azmi Yusuf, M. Asyroful Nur Maulana