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All Journal Pharmaciana: Jurnal Kefarmasian Media Farmasi : Jurnal Ilmu Farmasi (Journal Of Pharmaceutical Science)
Arifin, Bustanul
Universitas Hasanuddin, Makassar
Chemistry Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology

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Models for predicting the quality of life domains on the general population through the orange data mining approach Bustanul Arifin; Dyah Aryani Perwitasari; Zulkarnain Zulkarnain; M Rifqi Rokhman
Pharmaciana Vol 12, No 1 (2022): Pharmaciana
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (741.688 KB) | DOI: 10.12928/pharmaciana.v12i1.20827

Abstract

The incidence of type 2 diabetes mellitus (DM) has been predicted to increase until 2045 in the world. Furthermore, long-term treatment and lifestyle factors affect the quality of life. This study aims to determine the models that can be used to predict the quality-of-life domains in prediabetes patients by using Artificial Intelligent (AI) devices. This is a cross-sectional design in which the inclusion criteria were individuals of age above 18 years and has never been diagnosed with diabetes mellitus (both type 1 DM and type 2 DM), fasted for at least 8 hours, and are willing to sign an informed consent after having received an explanation. Participants were asked to fill out two questionnaires, namely the Indonesian version of the Finnish Diabetes Risk Score (FINDRISC) and the EuroQoL-5 Dimensions-5 Level (EQ-5D-5L). The AI application uses Orange® machine learning with three models used in predictive analysis, such as Logistic Regression, Neural Network, and SVM. In addition, the model was evaluated using the sensitivity, precision, and accuracy of the AU-ROC parameters. The results showed that the neural network model based on the AUC value, precision, accuracy, and also the ROC analysis, was the best for predicting the utility index of domains in the EQ-5D-5L questionnaire, based on demographic data and the FINDRISC questionnaire.
Validity and reliability of the Indonesian Version of HIV-KQ-18 in assessing public knowledge about HIV/AIDS in the special region of Yogyakarta Muh. Deni Kurniawan; Bustanul Arifin; M. Rifqi Rokhman; Dyah Aryani Perwitasari
Media Farmasi: Jurnal Ilmu Farmasi Vol 19, No 2: September 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (241.151 KB) | DOI: 10.12928/mf.v19i2.22107

Abstract

An assessment of public knowledge about HIV/AIDS is necessary for the development of educational strategies and materials. A valid and reliable instrument is needed to obtain comparable assessment of public knowledge about HIV/AIDS from time to time. This research study aims to determine the validity and reliability of the Indonesian version of HIV-KQ-18 in assessing public knowledge about HIV/AIDS in the Special Region of Yogyakarta. This research study used a cross-sectional design with the inclusion criteria being people living in Yogyakarta who were at least 18 years old and the exclusion criteria being respondents who did not fill out the instrument completely and did not fill out duplicate forms from the same respondent. The instrument was analyzed using product-moment correlation and known-group validity, while its reliability was tested using Kuder-Richardson Formula 20 (KR20). The total number of respondents as the subjects in this research study was 305. The results of the validity test of the HIV-KQ-18 obtained an r-xy value from 0.177-.564, greater than r-table (0.112), and the HIV-KQ-18 instrument exhibited high reliability with a KR20 value of 0.763. The test of known-groups validity showed that there were significant differences in all groups tested, except for the group based on age. The HIV-KQ-18 is a valid and reliable instrument and it can be used to assess public knowledge about HIV/AIDS in the Special Region of Yogyakarta.
Co-Authors Dyah Aryani Perwitasari M Rifqi Rokhman M. Rifqi Rokhman Muh. Deni Kurniawan Zulkarnain Zulkarnain