Dalai, Hastuti R
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Klasifikasi Infertilitas (Ketidaksuburan) pada Wanita menggunakan Algoritma Naïve Bayes Dalai, Hastuti R; Utiarahman, Siti Andini
Jurnal Informatika UPGRIS Vol 8, No 2: Desember 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.11914

Abstract

The presence of a baby is a dream for every married couple, especially for those who have long married However, not all married couples can get biological offspring easily, it is caused by the presence of infertility (infertility). Infertility is problems with the reproductive system characterized by failure to get pregnant after 12 months or more of being married and having sex at least 2-3 times a week regularly regularly without using contraception. Based on the WHO report, globally it is estimated that There are cases of infertility in 8-10% of couples, which is about 50 million to 80 million couples. The aim of this research is to use the Nave Bayes algorithm for the classification of infertility in children women can help public knowledge, especially married couples to detect early infertility that makes it difficult to get offspring, considering infertility in women is a case that is no less important than other health problems. The evaluation and validation process uses rapidminer for the classification of infertility in children women with the algorithm used, namely nave Bayes, has very high accuracy high with an accuracy value of 91.67%. Based on the results of the classification of infertility in women with the nave Bayes algorithm can help the community to detect early perform a medical examination. 
Analisa Uji Kebergunaan Aplikasi Gojek Menggunakan System Usability Scale (SUS) Dalai, Hastuti R; Nanja, M.
Jurnal Informatika UPGRIS Vol 7, No 2: Desember 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v7i2.9878

Abstract

The online motorcycle taxi application in Indonesia is an application created by a company engaged in transportation services, one of which is PT. Gojek Indonesia (GOJEK). In Gorontalo Province, GOJEK is focusing on cooperation with Bentor (motorcycle becak) which is one of the transportation used by the people of Gorontalo on a daily basis. Gojek collaborated with Bentor in May 2018, this shows that Gojek has only been used by the Gorontalo community. Because the Gojek application is still a new application for the Gorontalo community, there are still many people who are confused about using the application. Therefore, in this study a usability test is needed to measure the usefulness of the Go-Jek application based on the experience of the Gorontalo community, both those who become bentor drivers and the public who use this online transportation service. by using questionnaires and a usability scale (SUS) system that can be used to analyze data from the Gojek application usability test, the results of data analysis carried out using the Usability Scale (SUS) System, from 100 respondents using the Gojek application as general users the average value obtained given are 69 and 15 respondents who use the Gojek application as a driver, the average value given is 72, the two values obtained indicate that the application is a product or system that is categorized as Good. This is obtained based on the opinions given by users by filling out questionnaires. This shows that the Gojek application in the eyes of the user needs to be improved so that it is easy to understand and use, especially the Gojek user interface for general users. Because this is evidenced by the answers of 100 respondents to the questions symbolized by x, there are 16 people who answered agree, 8 people answered strongly agree and 7 people answered doubtfully that respondents need help from technical people to be able to use the Gojek application.