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All Journal Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) Millennial: Jurnal Pendidikan dan Studi Islam Jurnal Ilmiah Pengabdian dan Inovasi VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Journal of Computer Science Contributions (Jucosco) Devotion: Jurnal Pengabdian Kepada Masyarakat Journal of Informatics and Information Security
Mayadi
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Journal : Journal of Informatics and Information Security

 1 
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 Teknik Informatika, Fakultas Teknik 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 Penilaian Siswa Didik (PENSIDIK) Berbasis Web Mayadi; Nirmala, Indah Dwijayanthi
Journal of Informatic and Information Security Vol. 1 No. 2 (2020): Desember 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jiforty.v1i2.473

Abstract

SMAN 1 Cibitung in the process of processing data on the results of evaluating student learning scores is still using manually and stored in separate files / data. Where this becomes an obstacle in ineffective and inefficient data processing. Related to this, the purpose of this study is to develop a system design in the process of processing data on student learning outcomes effectively and efficiently based on web. In this study using a systematic approach, namely the waterfall method. Based on the results of the study, it is necessary to design an information system for processing student grade data in order to facilitate operational management activities for processing school student value data to be utilized by SMAN 1 Cibitung.
Perancangan Sistem Informasi Penjualan Handphone pada toko Raja Ponsel Cikarang dengan Menggunakan Metode SWOT Agus Hidayat; Mayadi; Muhammad khaerudin
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/hjqbpw50

Abstract

Information Technology continues to grow along with the ability of computers to provide solutions to problems in sharing areas. One of the depelopment of information technology is the existence of information systems that can provide solutions for the sales process. At Toko Raja Ponsel, the author pay attention to the transactions conducted in the store of the king of mobile phones are still done manually, recording sales reports, reports data items are still recorded in the book so that data can be lost and damaged. In this study describes what matters are the factors of making the information system of mobile phone sales, and what is needed in the making. From the description the authors analyzed the existing system in the Toko Raja Ponsel by using SWOT analysis, so found a solution to the problem solving that is with the development of products that received a rating of 19.7 attractiveness of the total number of respondents. From these results the authors developed a system with UML (unified modeling language) with user interfaces Microsoft Visual Studio 2010 and My Sql as its database. With this writer provide solution of making information system of sale, hence can assist in every transaction, so give ease in every transaction more effective and efficient.
Implementasi Algoritma Naïve Bayes Untuk Memprediksi Kerusakan Sepeda Motor Pada Bengkel Citra Djaya Motor Leni Epriliani; Mayadi; R. Wisnu Prio Pamungkas
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 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/x66wmy53

Abstract

This research is about the implementation of the Naïve Bayes Algorithm for Predicting Motorcycle Damage at the Citra Djaya Motor Workshop. This system aims to make it easier for workshop employees to check customer motorcycle damage when they want to do service. That way this system can improve services at the Citra Djaya Motor Workshop. Currently, the process of checking motorcycle damage at the Citra Djaya Motor Workshop is still using the manual method in analyzing motorcycle damage. The algorithm used in this study uses the Naïve Bayes algorithm. Making this system using the programming language PHP and Codeigniter as aframework and MySQL database. The results of this research can be implemented in the form of a web-based system.
Komparasi Algoritma K-Mean dan Hierarchical untuk Pengelompokan Pengaruh Covid-19 Terhadap Pendidikan Mayadi; Setiawati, Siti
Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/gtkw7r31

Abstract

The purpose of this study is to classify the impact of covid-19 on the world of education. Covid-19 is a virus that has had a major impact on politics, economy, culture, sports, education and other fields. The impact in the field of education is the closure of schools, universities, and institutions so that learning activities are carried out online from home. The method in this study begins by taking a dataset sourced from the public dataset https://www.kaggle.com/ to obtain data on the impact of COVID-19 on education. The next stage is preprocessing the data to filter the attributes that have the most influence on education using excel and python programming, the dataset has been continued to create patterns using machine learning algorithms, namely hierarchical clustering and k-mean clustering the clustering algorithm used. Clustering is the process of grouping similar objects into different groups or dividing a data set into subsets based on distance measurements. The expected result of this research is the comparison of the k-mean and hierarchical clustering algorithms which will have the highest accuracy in classifying the impact of covid-19 on education.
Co-Authors Achmad Noeman Agus Hidayat Bagas Wahyu Permana Dwipa Handayani Emiliana Marpaung, dkk, Helen Hanifah Adhiya Indah Dwijayanthi Nirmala Isma Raudhatul Janah Khairunnisa Fadhilla Ramdhania Kustanto , Prio Lalu Ganda Rady Putra Leni Epriliani Lisa Adhani Mugiarso Muhammad Iqbal Iffahuddin Muhammad Khaerudin Muhammad Khaerudin Najwa Mima Salsabila R. Wisnu Prio Pamungkas Rasim Rasim Rinaldy, Vano Setiaji, I Nyoman Darmawan SITI SETIAWATI Sultan Ahmad Rizki Tri Ginanjar Laksana Widyanto, Abdillah Prayoga