Garuda - Garba Rujukan Digital

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All Journal Jurnal Teknik Komputer AMIK BSI JITK (Jurnal Ilmu Pengetahuan dan Komputer)

Norma Yunita

Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri

Author-ID : 2550891

Computer Science & IT

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Perancangan Program Administrasi Rawat Jalan Pada Rumah Sakit Ibu Dan Anak Ibnu Sina Norma Yunita; Muhamad Angga Maulana; Daning Nur Sulistyowati; Maruloh Maruloh
JURNAL TEKNIK KOMPUTER Vol 7, No 1 (2021): JTK-Periode Januari 2021
Publisher : Universitas Bina Sarana Informatika

It is undeniable that technology is developing very fast. All the activities in the company or agency have shifted to computerization. The hospital is no exception. In providing health services to patients, hospitals are required to be able to do it quickly, precisely, and efficiently by not reducing the quality standard of service. The use of conventional systems makes hospitals hampered in the implementation of service activities. Whereas hospitals have an obligation to create, implement and maintain quality standards of health services in hospitals as a reference in serving patients. At the Ibnu Sina Mother and Child Hospital, in the service of patients for outpatient registration they still use the conventional system so that it is necessary to transition the system from conventional to computerized in order to maintain the quality of service. The system needed, namely registration and management of outpatient data. The system is prepared using the waterfall method as a method of software development and implementing the system in the form of a desktop application using the programming language Codeigniter 3, PHP 7, and Bootstrap 4. It is expected that with this system, hospitals can run better and can improve hospital quality in services so that patients feel satisfied with the services provided by the hospital.

IMPLEMENTATION OF DATA MINING ALGORITHM FOR PREDICTING POPULARITY OF PLAYSTORE GAMES IN THE PANDEMIC PERIOD OF COVID-19 Siti Fauziah; Daning Nur Sulistyowati; Norma Yunita; Siti Fauziah; Risca Lusiana Pratiwi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 6 No 1 (2020): JITK Issue August 2020
Publisher : LPPM Nusa Mandiri

The existence of the COVID-19 virus makes everyone fill their time at home by doing various activities, one of them playing games on the phone. For the game to develop continuously, it needs an assessment that comes from the community and especially the game lovers themselves. This assessment is used to find out what category of game you want. Therefore the analysis is needed to determine the interests of game lovers by analyzing the popularity of a game. This research was conducted to predict the level of popularity of games in PlayStore applications to find out how many popular and unpopular games and the accuracy obtained with the C4.5 algorithm and Naive Bayes algorithm. The results obtained using the C4.5 algorithm showed 73 popular games and 12 unpopular games with an accuracy value of 85.83% with a precision of 85.83% and a recall of 100% and Naive Bayes showed 23 popular games and 62 unpopular games with an accuracy value of 80% with a precision of 96.11% and a recall of 81.01%. The evaluation results with the ROC curve show the AUC value using the Naive Bayes model of 0.776 and the C4.5 model of 0.500. Of the two models used, one of them is included in the classification of Good classification, namely the Naive Bayes algorithm model, because it has an AUC value between 0.80-0.90. While the C4.5 algorithm model is included in the Fair classification, has an AUC value between 0.70 - 0.80.

Co-Authors Maruloh Maruloh Muhamad Angga Maulana Risca Lusiana Pratiwi Siti Fauziah Siti Fauziah Sulistyowati, Daning Nur

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