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All Journal MEDISAINS International Journal of Advances in Intelligent Informatics Jurnal Rekayasa Mesin ZOO INDONESIA JOIV : International Journal on Informatics Visualization Journal of Applied Information, Communication and Technology (JAICT) Home Economics Journal Journal of Maternal and Child Health Journal of Telenursing (JOTING) Indonesian Journal of Global Health research MAHESA : Malahayati Health Student Journal Abditeknika - Jurnal Pengabdian Kepada Masyarakat Society: Jurnal Pengabdian Masyarakat Journal Of Human And Education (JAHE) Innovative: Journal Of Social Science Research Berita Biologi
Kurnianingsih Kurnianingsih, Kurnianingsih
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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A Hybrid ROS-SVM Model for Detecting Target Multiple Drug Types Ramadhan, Nur Ghaniaviyanto; Khoirunnisa, Azka; Kurnianingsih, Kurnianingsih; Hashimoto, Takako
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1171

Abstract

Misleading in determining the decision to use the target drug will be fatal, even to death. This study examines five pharmacological targets designated as types A, B, C, X, and Y. Early detection of misleading drug targeting will reduce the risk of death. This study aims to develop hybrid random oversampling techniques (ROS) and support vector machine (SVM) methods. The use of the oversampling technique in this study aims to balance classes in the dataset; due to the data collection in each class, there is a relatively large gap. This study applies five schemes to see which combination of models produces the highest accuracy. This study also uses five types of SVM kernels, linear, polynomial, gaussian, RBF, and sigmoid, combined with the ROS oversampling technique. Our proposed model combines the ROS oversampling technique with a linear SVM kernel. We evaluated the proposed model and resulted in an accuracy of 97% and compared it with several experiments, including the ROS technique with a sigmoid kernel which only resulted in 50% accuracy. It can be seen from the results obtained that the linear kernel is very adaptive to data types in the form of numeric and nominal compared to other kernels. The method proposed in this study can be applied to other medical problems. Future research can be carried out using a combination of other sampling techniques with deep learning-based methods on this issue.
Co-Authors Abu Hasan Adi Wibowo alfiah alfiah Alifiansyah, Muhammad Fikry Amalia, Dhanty Nurul Amin Suharjono Anindya Wirasatriya Anis Roihatin Apandi, Apandi Aquarista, Nita Ari Suwondo Arselatifa, Elviga Asmaul Husna Avisyah, Gisnaya Faridatul Azka Khoirunnisa Chin, Wei Hong Darmawan Darmawan Dhanio, Yeyen Wulandari Diana, Tri Rettagung Donny Kristanto Mulyantoro edy susanto Fahriah, Sirli Fatahul Arifin, Fatahul fatimah Fatimah Fitriyani, Rizki Putri Gustiyana, Fikri Nizar Haerul, Haerul Hajrianti, Siti Hashimoto, Takako Henra, Mustika I Ketut Agung Enriko Ika Rahmawati Istiqomah, Nursita Kubota, Naoyuki Kuntarjo, Samuel Beta Kusuma, Yanti Yandri Lutfan Lazuardi Maharadatunkamsi Maharadatunkamsi, Maharadatunkamsi Mardiyono Mardiyono Masuyama, Naoki Melyana Nurul Widyawati Miyar, Miyar Muhammad Anif Mulyadi Mulyadi Nana Supriatna Nojima, Yusuke NOVA MUJIONO Nur Ghaniaviyanto Ramadhan Nurhaman, Ujang Nurhaswinda Nurseno Bayu Aji, Nurseno Bayu Oktaviani, Nur Hilda Prayitno Prayitno Prihandini, Riena Priyanti, Esteria Priyatna, Yayat Puspita Sari, Erika Lety Istikhomah Putri Hana Pebriana Putri, Winda Astria Rachmatiyah, Rina Rakasiwi, Rizky Khaerul Maulana Runjati Santosa, Naufal Adli Santoso, Pramono Hery Sarino . Sauri, Sopian Septiani, Camilla Sidiq Syamsul Hidayat, Sidiq Syamsul Sofyani, Umar Sri Sumarni Sudiyono Sudiyono Suparno Suparno Susmiyati, Susmiyati Tatag Bagus Putra Prakarsa Tri Raharjo Yudantoro Triastuti, Unggul Yuyun Trilaksono, Wahyu Triyono, Liliek Veryal, Veryal Wahyu Sulistiyo Wahyudin, Mohamad Walin Walin Wikanta, Hadi Wiktasari Wiktasari, Wiktasari Yanwari, M. Irwan Yanwari, Muhammad Irwan Yusuf Dewantoro Herlambang