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Journal : Journal of Informatics and Information Security

Sistem Informasi Pencegahan Dan Penanggulangan Stunting Berbasis WEB Dani Yusuf; Prima Dina Atika; Rejeki, Sri
Journal of Informatic and Information Security Vol. 4 No. 1 (2023): Juni 2023
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/mv3qjx76

Abstract

This paper discusses the design of a stunting information system starting from creating a posyandu schedule to following up on stunted children. This system is built on a web basis so that it can be accessed by agencies related to stunting management and the public who want to see stunting activities in the city area. Bekasi. The system development method used is a prototype with the aim of accelerating the system development process so that this application can be used quickly and precisely according to the needs of its users. The result of the design and manufacture of this application is software that is expected to facilitate the implementation of activities for handling and overcoming stunting children through fast and accurate data collection.
Prediksi Penjualan Menggunakan Algoritma Regresi Linear pada Koperasi Karyawan Usaha Bersama Muhamad Galih; Prima Dina Atika; Mukhlis
Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bg5qg413

Abstract

Koperasi Karyawan Usaha Bersama is one of the cooperative that has minimarket as one of their business strategy that sales a lot of goods people need. The amount of item sold every day is sometimes uncertain. There is a day when a lot of things are sold on that day, and there is also a day when there are only a few stuff are sold. The purpose of this study is to do prediction the sales of goods sold every day. With this prediction result, the minimarket can determine and choose what strategies are the best to maximize their profit. We use Linear Regression to do this study with CRISP-DM as the model process. The result of the analysis that uses data from March to April 2022 shows that MAPE has the better result with 10.7% compared to RMSE with 42.091.