RIZKI KRISTIA AKMAL
UNIVERSITAS IBN KHALDUN BOGOR

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Tinjauan Sistematis Untuk Merekomendasi Prediksi Harga Emas RIZKI KRISTIA AKMAL
Jurnal Inovasi Informatika Vol. 7 No. 1 (2022): Jurnal Inovasi Informatika
Publisher : Universitas Pradita

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51170/jii.v7i1.253

Abstract

Gold is one of the precious metals that can be used as investment material, because the price is always stable. So that investors try to predict the price of gold for the future. There are various methods for predicting gold prices, but not all methods can predict gold prices with accuracy. This study was written using the PRISMA method to find the right method to predict gold prices. The research shows that the Fuzzy Time Series method is a method that is often used to predict gold prices, because this method can capture patterns from previous data and then use it to predict the future by determining the length of the interval at the beginning, because the length of the interval is very influential to get accurate prediction results.
Designing a Relational Database Model Using Normalization Techniques in the Independent Practice Midwife Service Data Archiving Application Dahlia Widhyaestoeti; Rizki Kristia Akmal; Jejen Jaenudin; Fitria Rachmawati
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 6 No. 2 (2023)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inovatif.v6i2.589

Abstract

Health services at Independent Practice Midwife (BPM) Wita Utami Awaliyah, S.ST, for patients include pregnancy checks, family planning (KB), and general check-ups. Archiving service data still uses folio book media and is stored in Bantex boxes. The process of recording and searching data services for Practical Midwives requires a web-based application. The digital form of service is designed by collecting Pregnancy Check Archive Data, Family Planning Archive Data and General Check Archive Data, then carrying out a normalization technique process to convert the data into a good relational data model. The system development method is created using the Waterfall model, and system design uses UML diagrams. The application was built using PHP, Javascript, MySQL and the Laravel framework. The results of feature testing using the Blackbox method show the success of each feature of the Web-Based Independent Practice Midwife Service Data Archiving Application from the test class test results with the expected output.