Article Per Year (5 Year)
p-Index From 2021 - 2026
4.267
P-Index
This Author published in this journals
All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Sisfokom (Sistem Informasi dan Komputer) CYBERNETICS Jurnal PTK dan Pendidikan GERVASI: Jurnal Pengabdian kepada Masyarakat Generation Journal Jurnal Teknika Reforma: Jurnal Pendidikan dan Pembelajaran Jurnal UNITEK Insearch: Information System Research Journal Joutica : Journal of Informatic Unisla Journal of Artificial Intelligence and Engineering Applications (JAIEA)
M. Ghofar Rohman
Universitas Islam Lamongan
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 39 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search
Journal : Generation Journal

 1   2 
Implementation of the SAW Method for Mobile Phone Selection Recommendations at Holida Seluler Store Mu'afi, Achmad Faiq; Rohman, M Ghofar; Zamroni, Moh Rosidi
Generation Journal Vol 10 No 1 (2026): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v10i1.26505

Abstract

Public demand for mobile phones continues to increase as mobile phones evolve as tools for communication, work, entertainment, and access to digital information. With so many products with varying specifications to choose from, consumers often find it difficult to determine which mobile phone suits their needs. Holida Seluler, a store that sells various types of mobile phones, still uses a manual approach in providing recommendations to customers, which can potentially result in inaccurate decisions. This study aims to develop a website using the Simple Additive Weighting (SAW) method to assist customers in determining the best mobile phone, as well as to design a system capable of presenting objective calculation results based on predetermined criteria weights that can be directly applied in the recommendation process. The data used consists of 50 mobile phone products available in stores, with seven main criteria, namely: price, RAM, internal memory, camera, battery capacity, screen, and refresh rate. This system was built using the PHP programming language and MySQL database. The implementation results show that the system can objectively rank mobile phones based on user preferences, with the A45 alternative as the best choice, obtaining the highest score of 0.9100. This system is capable of providing fast, accurate, and data-driven recommendations, thereby increasing service effectiveness and enhancing the customer experience in choosing the right product
Decision Support System For Determining The Major Of New Students At SMKS Sunan Drajat Sugio Using The Method SAW (Simple Additive Weighting) Rohma, Riska Dwi Elida Yahyatul; Rohman, M. Ghofar; Zamroni, M. Rosidi
Generation Journal Vol 10 No 1 (2026): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v10i1.26553

Abstract

Determining majors for new students at vocational schools is an important process that can affect student achievement and future prospects. However, this process is often still carried out manually and is not very objective, which can potentially lead to a mismatch between the chosen major and the potential and interests of the students. Therefore, a system is needed that can help schools determine majors more accurately, efficiently, and based on data. This study aims to design a Decision Support System (DSS) for determining the majors of new students at SMKS Sunan Drajat Sugio using the Simple Additive Weighting (SAW) method. The SAW method was chosen because of the ease of calculation and its ability to process multi-criteria data to produce systematic decisions. The criteria used in this system include report card averages, basic competency test results, and student interests. This system is web-based with a user-friendly interface. Testing was conducted using 65 new student data for the 2024/2025 academic year by comparing the system's calculation results with manual calculations using the SAW method that had been validated by the school. The test results showed a 100.0% match between the system results and manual calculations, indicating that the system is capable of implementing the SAW method accurately and consistently. Thus, the developed system can be used as a tool to assist
Co-Authors Abdullah, Zubaile Agung Ferry Anggara Alawi, Thoriq Achmad Albab, M Ulul Amri, Sholihul Arif Irawan Bachri, Affan Bettaliyah, Azza Abidatin Danang Bagus Reknadi Erin masfufah Farida, Mega Fitri Rohmawati Ihza, Muhammad Yusril Laksono, Arief Budi M Hasan Wahyudi M. Rosidi Zamroni Masruroh Masruroh Masruroh Masruroh Miftahus Sholihin Mu'afi, Achmad Faiq Munif MUNIF ROCHMAWANTO Mustain Muzaqi, Wildan Irsyad Nurul Fuad Pratiwi, Putri Septiani Indah Prisma Nanda Purnomo Hadi Susilo, Purnomo Hadi Purnomo Hadi Susiolo Putra Samudra Putri, Jenjang Oktaviasanata Ananda Rahma Dhana, Rio Rohma, Riska Dwi Elida Yahyatul Rohman, Auliya’ur Saputra, Muhammad Hanes Eka Shahreen Kasim, Shahreen Siti Mujilahwati Sugeng Dwi Hartantyo Sundiya Eryfa Diana Suryanti, Cindy Syarif Hidaytullah, Athia Utomo, Aphila Fraga Listyo Wulandari, Dewi Sri Yahya, Kurnia Zamroni, Moh Rosidi Zumrotus Shalekhah