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All Journal JSI (Jurnal sistem Informasi) Universitas Suryadarma Aisyah Journal of Informatics and Electrical Engineering Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Journal of Informatics and Information Security
Mugiarso
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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Journal : Journal of Informatics and Information Security

 1 
Implementasi Algoritma Simple Additive Weighting Berbasis Web Untuk Penentuan Calon Penerima Beasiswa Elfri Kartini Hutabarat; Mugiarso; Rafika Sari; Rasim
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: 10.31599/5ndeg237

Abstract

Technology aids humans in performing activities such as accessing information in all fields, particularly in education. One implementation adopted by educational institutions is the student information system. As an educational institution, SMK Yadika 13 Tambun runs a scholarship program. The school's selection process is still manual, conducted through document requirements. Consequently, the selection process takes a long time due to the high number of applicants. Only those meeting the criteria receive scholarships. The large number of applicants and the limited scholarship quota make it challenging for the school to manually screen documents. The research objective is to determine prospective scholarship recipients at SMK Yadika 13 Tambun and implement the Simple Additive Weighting method in a decision support system that can provide alternatives in determining scholarship recipients. The Simple Additive Weighting algorithm can be applied in determining scholarship recipients. This algorithm can serve as an exemplary calculation method as it can identify alternatives for each attribute. Subsequently, a ranking system is devised to select the best alternatives. The system developed can assist SMK Yadika 13 Tambun Bekasi in determining scholarship recipients more efficiently and systematically, thereby reducing errors in the selection process.
Penerapan Algoritma K-Means Pada Aplikasi Pembelajaran Lagu Daerah Untuk Menentukan Lagu Dalam Pembelajaran Siswa Adeng Ichwan Maulida; Carudin; Rasim; Mugiarso
Journal of Informatic and Information Security Vol. 4 No. 2 (2023): Desember 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/m23gfp29

Abstract

Introduction to regional songs is part of the arts and culture subject in the Elementary School curriculum. Currently, students learn regional songs through books that only provide the lyrics, and there are limitations in the song variations. The singing learning process is conducted by teachers. Teachers routinely teach the same regional songs every year, resulting in many other regional songs never being taught. The challenge arises when teachers have to determine which regional songs should be prioritized in learning, due to a lack of information about known and familiar regional songs among students. The research aims to support decisions on prioritizing regional songs in the teaching and learning process based on their popularity among different student groups. With a web-based system, it becomes easier to determine and categorize the popularity levels of regional songs among elementary school students, specifically at SDN Margahayu XIII in this case. The algorithm used to process and categorize these regional songs is K-Means, which is a non-hierarchical data clustering method aiming to partition data into two or more groups. The research results in a decision support system providing clustering results based on values or criteria that closely align with the popularity levels. The final outcome is a decision support system that can be used to determine which regional songs should be prioritized for learning in the teaching process based on their popularity levels.
Sistem Informasi Pengarsipan Surat Masuk dan Keluar dengan Algoritma Sequential Search di Kelurahan Bahagia Mugiarso; Tri Furkan Sarjono Aji; Khairunnisa Fadhilla Ramdhania
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: 10.31599/6peysq52

Abstract

In Kelurahan Bahagia, there are problems in managing archives, especially archiving incoming and outgoing letters, precisely in the search and presentation of mail information, often experiencing delays and difficulties in finding the archives of the letters. This study aims to assist Kelurahan Bahagia in overcoming the problem of mail archives, by designing and developing an information system for archiving incoming and outgoing mail using the Rapid Applciation Development (RAD) method and using a sequential search algorithm to help find mail information faster and easier. The result of this research is an information system for archiving incoming and outgoing mail that can help overcome the problem of filing letters in Kelurahan Bahagia.
Perancangan Aplikasi E-Commerce Berbasis Website Menggunakan Algoritma Content Based-Filtering Pada Toko Smoodie Foodie Arifin, Muhammad Khoirul; Mugiarso; Sari, Rafika
Journal of Informatic and Information Security Vol. 6 No. 1 (2025): Juni 2025
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/83a4yw27

Abstract

The development of digital technology is driving transformation in the trade sector, including the increasing use of e-Commerce   platforms. However, challenges such as sales disparities between products still occur, such as at the Smoodie Foodie Store, which still operates conventionally, where 5 of its 16 products have a low sales conversion rate despite being promoted. This research aims to design an e-Commerce   system that facilitates online purchases and increases the visibility of less popular products through the Content-Based Filtering (CBF) algorithm. The system development uses the Waterfall method, from analysis to testing. The uniqueness of this research lies in the integration of a recommendation feature that displays similar products based on title attributes. The result is an e-Commerce   application that is able to recommend products effectively and increase the visibility of products with low sales. Next, system testing covered key functions such as registration, login, product and order management by the admin, and adding products to the cart by the user. Based on the test results, all features showed a "Succsess" status, indicating the system was functioning as expected
Co-Authors Adeng Ichwan Maulida Agung Juli Saputra, Nur Akbar, Iqbal Faris Alfian, Eza Angga Anggaini, Meri Arby Ansya, dkk, Muhammad Arifin, Muhammad Khoirul Carudin, Carudin Dian Hartanti Elfri Kartini Hutabarat Hendarman Herald Setiadi, Herald Hilmy Dwinanda, Muhammad Ismaniah Ismaniah Khairunnisa Fadhilla Ramdhania Marito T, Natasya Marvela Putri, Majesty Mukhlis Musalam Jessar, Reyhan Prima Dina Atika Primo Prayoga K, Muhammad Rafika Sari Ramadhani, Raihan Ramdhania, Khairunnisa Fadhilla Rasim Rasim Rasim Rizki Aziz, Muhammad Setiawan, Septhiyanthi Sugiyatno Sukaesih, Fitri Tri Furkan Sarjono Aji