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All Journal Jurnal Algoritma JURNAL MEDIA INFORMATIKA BUDIDARMA JMPM: Jurnal Matematika dan Pendidikan Matematika JSI (Jurnal sistem Informasi) Universitas Suryadarma CSRID (Computer Science Research and Its Development Journal) JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY JISICOM (Journal of Information System, Infomatics and Computing) Cyber Security dan Forensik Digital (CSFD) Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Jurnal Algoritma Journal of Computer Science Contributions (Jucosco) Jurnal Rekayasa Informasi Journal of Informatics and Information Security KOMPUTASI
Ratna Salkiawati
Informatika, Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics

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Journal : Journal of Informatics and Information Security

 1 
Perancangan Sistem Informasi Persediaan Obat Menggunakan Metode Fifo Berbasis Web Pada Apotek Risma Muhamad Akbar Putra Prasetyo; Ratna Salkiawati; Achmad Noeman; Nurfiyah
Journal of Informatic and Information Security Vol. 4 No. 1 (2023): Juni 2023
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/spy30307

Abstract

As for the background that makes this writing, namely, drug data collection at the Risma Pharmacy which still uses the process of recording in books. Problems that often arise with recording in books cause the data to be less accurate, and it is difficult to search for data. Often the pharmacy has difficulty in checking the data of goods in the pharmacy. Recording using multiple ledgers results in inefficient. The method used is the FIFO (First In First Out) method, which is a non-preemptive, non-priority scheduling algorithm. Each process is given an execution schedule based on the order in which it arrives. The development of this system uses the PHP programming language. The system development method uses the RAD (Rapid Application Development) method. This RAD model is very synchronous to realize the form of software with emergency needs and with a short time in the process. The result of this research is a web-based drug supply information system. With this drug supply information system, it can help pharmacies in overcoming drug data collection which was previously processed manually to be more effective because there is no need to record sales data using paper/books.
Penerapan Algoritma K-Means untuk Mengetahui Pola Persediaan Barang pada Toko Raja Bekasi Intan Safira; Ratna Salkiawati; Priatna, Wowon Priatna
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ykryzk32

Abstract

This study aims to determine how much the results of grouping goods affect the needs of consumers. Excess inventory will greatly fill the warehouse and be inefficient because of the expiration date on food products, beverages, etc. Currently Toko Raja still manages goods manually so it is not time efficient. To solve this problem, a technique is needed, namely data mining. The data mining technique that will be used in this research is the K-Means Clustering method. K-Means is one of the most popular algorithms because it is easy and simple to implement. However, the results of the clustering of K-Means are very dependent on theselection of the initial cluster center point. Calculation of accuracy in this study using the test results of the K-Means clustering method using the Davies-Bouldin Index (DBI) is 1.856 where the DBI value close to zero cluster is good enough. From the resulting accuracy, it can be concluded that the K-Means Clustering method can support the system well.
Co-Authors Achmad Noeman Ageng Ridho Ramadhan Ajie Prasetya Al Malik MK, Abdillah Syah Alexander, Allan D Apriliani, Lita Bagaskhoro, Bima Bian Raka Firdaus Cornelies Oktavianus Dwijayanthi Nirmala, Indah Dwipa Handayani El Ghozy, Ilham Nur Fauzan Kamil Firdaus, Imansyah Abinda Hala, Sudirman Hamidah, Dhiya Azizah Hendarman Hendarman Lubis Hendarman Lubis Hidayat, Dian Fitrianto Intan Safira Ismaniah Ismaniah Joniwarta Kamil, Fauzan Khaerudin, M. Lubis, Hendarman Lubis, Hendarman Lubis M. Hadi Prayitno Markus Ade Putra Muhamad Adilla Dhiya Ulhaq Muhamad Akbar Putra Prasetyo Nurfiyah Prasetya, Ajie Prayitno, M. Hadi Priatna, Wowon Priatna Raden Muhammad Yusuf Rafika Sari Ramdhania, Khairunnisa Fadhilla Rasim Rasim Sri Rejeki Sri Rejeki Wilhadad, Dadi Ulul Wilhadad, Dadi Ulul