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Multi-Algorithm to Measure the Accuracy Level of Diabetes Status Prediction Zulkifli Zulkifli; Feda Anisah Makkiyah; Darius Antoni; Fitriana Fitriana; Taufik Jamaan; Ahmad Taufik
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.250

Abstract

Poor management of diabetes leads to damage in organs and body tissues, impacting crucial organs like the heart, kidneys, eyes, and nerves. Although there is no permanent cure for diabetes, early detection enables effective disease management, which researchers and medical professionals agree enhances recovery prospects. The rapid progress in information technology has facilitated early prediction and diagnosis of diseases through Machine Learning (ML), a subset of Artificial Intelligence (AI) comprising various algorithms such as Neural Network, Support Vector Machine (SVM), kNN, Random Forest, and Naïve Bayes. These algorithms serve as effective tools in handling predictive data. Early prediction of diabetes holds the potential to control the disease and save lives. Therefore, the focus of this research is to develop a predictive model for diabetes status by utilizing various algorithms, but the level of validation of this model still needs to be tested. The dataset utilized consists of information from several diabetic patients, including eight input variables (pregnancies, glucose levels, blood pressure, skin thickness, insulin levels, BMI, age, and diabetes pedigree function) and one output variable (diabetes status). Research findings indicate that the SVM algorithm exhibits superior accuracy (84%) in predicting diabetes status compared to other algorithms such as neural network, Random Forest, Naïve Bayes, and kNN.
Co-Authors Abd. Rasyid Syamsuri Ahmad Aulia Ahmad Taufik Ahmad Taufik Aisyah, Ammara Alifah Safira Amperatmoko Alma Putri Maulidawati Alya Roza Lisanti Anastasya Chanita Putri Maharani Andini Nur Ramadhani Anisah Anisah Antoni, Darius Apriningsih, Apriningsih Apriningsih Arfiyanti Arfiyanti Arfiyanti, Arfiyanti Aritonang, Hosianna Stephany Ayodya Heristyorini Ayu Magdalena Natalia Situmeang Basuki Supartono Basuki Supartono Bintang Bayu Aryandi Buana, Gherriandi Raja Budiman, Anisa Novita Bunga Mentari Rizkyta Darius Antoni Dian Pertiwi Dian Pertiwi Digna, Audrey Alvura Erna Harfiani Fathia Kharitano Faustine, Gracella Fitriana Fitriana Goenarjo, Roman Gracella Faustine Gusti Ayu Devania Dipta Gayatri Heni Pujiastuti Heristyorini, Ayodya Herkan, Muhamad Thariq Imam Prabowo, Imam Juliana, Dian Kamaludin, Fahmi Lisanti, Alya Roza Marlina Dewiastuti Marlina Dewiastuti, Marlina Masiran, Ruziana` Meiskha Bahar Melinda Dwi Rahayu Melly Kristanti Muhammad Ferrel Privansyah Cader Cader Muhammad Reihan Arianda Nabila Aulia Ainaya Nafira, Amodya Dahayu Natanel, Handro Steve Nia Citama Saragih Nia Citama Saragih Nugrahana, Raisa Yunika Nurfitri Bustamam Nurhadi Ibrahim Nurrahmah, Rahma Nida Nurrizka, Rahmah Huda Oktafiani, Devi Oktavia, Sabina Partogi Napitupulu Pasiak, Taufiq Fredrik Prita Maya Savitri Rachmawati, Alfira Rahma Hida Nurrizka Rahmah Hida Nurrizka Rahmah Huda Nurrizka Rosadi, Andrea Salsabila Rosita Alfi Syahrin Rosita Alfi Syahrin Sabita, Rifqi Safira, Lisa Salim Harris, Salim Savitri, Prita Maya Sembiring, Rinawati Setyaningsih, Yuni Shelly Nobel Shofiy, Alifya Rayyani Subeno, Setia Taufik Jamaan Taufiq Fredrik Pasiak Theodora Caroline Sihotang Theodora Caroline Sihotang Tiwuk Susantiningsih Wahyudi, Dhyani Paramita Widayani Wahyuningtyas Yani, Sri Yuni Setyaningsih Yuri Nurdiantami Zulfa , Fajriati Zulkifli Zulkifli