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Achmad Noeman
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Computer Science & IT

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Implementasi Data Mining Untuk Menentukan Produk Buku Komik Terlaris Pada Toko Arivpedia Menggunakan Algoritma Apriori Muhammad Iqbal Iffahuddin; Achmad Noeman; Prio Kustanto; Mayadi
Journal of Informatic and Information Security Vol. 5 No. 1 (2024): Juni 2024
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2gd01j83

Abstract

How to use transaction data at the arivpedia store selling the best-selling comic book products. Implementing the a priori algorithm to determine the best-selling comic book product pattern in the application to be tested. From this research, according to the analysis and implementation that has been made, the results of an a priori algorithm implementation system are found to determine the best-selling comic book products. With this system at the Arivpedia Store, it helps managers to calculate sales transaction data which is very easy to use. The application of data mining with the a priori algorithm is considered very efficient and can accelerate the process of forming product association patterns from sales transaction data at the Arivpedia store used in the test.
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.
Layanan Pengecekan Judul Buku Menggunakan Algoritma Boyer-Moore pada Perpustakaan SDN Sumur Batu 4 Bantargebang Bekasi Isnawati; Dwipa Handayani; Achmad Noeman
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/dwkc9e79

Abstract

in the library is one part of the processing and utilization of information at SDN Sumur Batu 4 Bantargebang Bekasi is still not computerized, manual searches or searches cause students to have difficulties in searching books and librarian can notcontrol books efficiently from school problems. a system that can solve problems so as to produce the goal of increasing efficiency in book searches, building a book title checking service system using the Boyer-Moore algorithm and providing convenience for all users in utilizing book searches. By implementing the book title checking service using the Boyer-Moore algorithm as the most efficient algorithm and using the rapid application development method starting from planning, design workshops, rapid application development and implementation. The data collection methods are observation, interviews, questionnaires and library studies. It is expected to be able to help speed up the process of searching for books in the library and to increase the satisfaction of library services for library visitors.
Sistem Penjadwalan Lapangan Bola Voli Menggunakan Algoritma Genetika Ilham Setia Bhakti; Achmad Noeman; Asep Ramdhani Mahbub
Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 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/vdz3hq95

Abstract

Scheduling activities are one of the important things to regulate the use of the field, especially at the BTP Sport Center. This study discusses the design of a scheduling application using genetic algorithm rules as a determinant of making a web-based schedule at the BTP Sports Center. Tenants are divided into two categories, namely regular tenants and face-to-face tenants. Permanent tenants are tenants who rent regularly or repeatedly. Field scheduling is important in setting the time and place for exercise. Some of the problems that occur in scheduling are the large number of tenants and the limited number of administrators who set the schedule, especially at the BTP Sports Center. Field schedules have to be paired one by one manually so that sometimes there are schedules that clash with each other without the management realizing it. The genetic algorithm itself is an algorithm inspired by the scientific selection process initiated by the famous scientist Charles Darwin. While the method used for software development is the RAD(Rapid Application Development) method. The administrator will enter the application with the account that has been provided and then enter the names of the tenants and the rental time, after that the schedule can be created automatically to be printed and displayed in the GOR lobby. The result of the research is that by applying genetic algorithms to scheduling, schedules can be mademore efficiently so as to speed up the scheduling process at the BTP Sports Center.
Co-Authors Asep Ramdhani Mahbub Dwipa Handayani Ilham Setia Bhakti ISNAWATI Kustanto , Prio Mayadi Muhamad Akbar Putra Prasetyo Muhammad Iqbal Iffahuddin Nurfiyah Ratna Salkiawati