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All Journal Jurnal Bina Praja Journal of Soft Computing Exploration
Suciningsih, I Gusti Ayu
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Humanities Computer Science & IT Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Comparation analysis of naïve bayes and decision tree C4.5 for caesarean section prediction Suciningsih, I Gusti Ayu; Hidayat, Muhammad Arif; Hapsari, Renita Arianti
Journal of Soft Computing Exploration Vol. 2 No. 1 (2021): March 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i1.25

Abstract

The development of technology can be used to facilitate many matters. One of them is childbirth in the medical fields. Maternal mortality rate (MMR) is the number of maternal deaths during pregnancy to postpartum caused by pregnancy, childbirth or its management. There are several methods of labors that can be done. The determination of the labor is based on many factors and must be in accordance with the conditions of pregnant patient. Caesarean birth is the last alternative in labor, due to high risk factors. The objective of this research is to predicte and analyse caesarean section using C4.5 and Naïve Bayes classifier models. For experimentation the dataset is collected from UCI Machine Learning Repository and the main attributes represented in this dataset are age, delivery number, delivery time, blood of pressure, and heart problem. The accuracy using C4.5 by 80 training cases is 45% And the accuracy using Naïve Bayes is 50%.
Pengembangan Sistem Informasi Geografis untuk Pemerintahan dengan Metode Extreme Programming dan User-Centered Design Subhan; Suciningsih, I Gusti Ayu
Jurnal Bina Praja Vol 16 No 1 (2024)
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/jbp.16.2024.111-126

Abstract

Software development is among the most powerful needs in every organization and industry in the current generation. It is used to help the functionality of their system by using the software development guide named Software Development Life Cycle (SDLC). Various system developments have been conducted, including developing a public complaint service system. This research applies extreme programming (XP) and User-Centered Design (UCD) development methods to develop the geographic information system for the Badan Narkotika Nasional (BNN) Kediri City complaint service. These development methods are expected to meet user expectations. Also, it can reduce the time required to develop products with results that will be shown by conducting usability testing and validity tests. This research applied extreme programming and user-centered design development methods, both quantitative and qualitative for user testing. The application was successfully developed using XP and UCD development methods. The Kediri City BNN complaint service application was successfully developed in several stages: planning, implementing the design, and program code, followed by the evaluation stage. In the evaluation stage, usability testing results on the geotagging mobile application of the Kediri City BNN complaint service obtained a total score of 92.75% with a very good interpretation, and the validation testing results obtained a value of 100%. Applying extreme programming and user-centered design as a development method produces high usability testing and user experience because, in the development stage, it prioritizes interactions and user opinions.
Co-Authors Hapsari, Renita Arianti Muhammad Arif Hidayat Subhan