Article Per Year (5 Year)
p-Index From 2020 - 2025
3.673
P-Index
This Author published in this journals
All Journal Jurnal Floratek Media Penelitian dan Pengembangan Kesehatan Creative Information Technology Journal Jurnal Manajemen & Keuangan Jurnal Mitra Pendidikan Jurnal DISPROTEK Cakrawala : Jurnal Kajian Manajemen Pendidikan Islam dan Studi Sosial Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vocatech : Vocational Education and Technology Journal IT (INFORMATIC TECHNIQUE) JOURNAL Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal TILAPIA INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Jurnal Ilmiah Teknik Informatika (TEKINFO) Jurnal Penelitian Sistem Informasi Jurnal Ilmiah Mahasiswa Pertanian Lentera International Journal Of Public Health Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Safrizal Safrizal
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Penelitian Sistem Informasi

 1 
Sistem Pendukung Keputusan dalam Penentuan Jurusan Berdasarkan Minat Siswa SMK Harapan Stabat Menggunakan Metode SAW Randa Ersada; Eka Ade Putri; Febly Fauziah; Arista Widya Ningsih; Safrizal Safrizal
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.2983

Abstract

For prospective students, SMK Harapan Stabat offers five main subjects with a specialization system that does not require exams. The number of students majoring in office administration has increased, and majoring procedures have shifted from conventional assessments to skills-based assessments. The current method, however, is challenging, especially for the Assistant Curriculum Director because it relies on exam results reports. To solve this problem, this research creates a web-based application that uses the simple additional reduction (SAW) method. This application is intended to help school principals determine student majors more efficiently. The implementation results show that this application was well received by the students of SMK Harapan Stabat and can help them make decisions about their major. Currently, determining majors at SMK Harapan Stabat is not ideal because prospective students tend to choose majors according to their own wishes. In addition, schools only look at test scores without considering students' interests and talents as well as other factors that influence acceptance in certain majors. Collecting data on students' aptitudes, interests, and test scores is critical to improving this process. Therefore, to carry out more accurate calculations, the Simple Additive Weighting (SAW) method is needed. Schools can use this decision support system to make better decisions about the majors their students will take. Therefore, the choice of major is expected to be more appropriate to students' abilities and interests to support their future success.
Sistem Pendukung Keputusan Pemilihan Susu Formula pada Balita Menggunakan Metode Simple Additive Weighting (SAW) Dwi Fitri Rahayu; Elisa Br Sembiring; Harninda Br Keliat; Safrizal Safrizal
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.2991

Abstract

Formula milk is packed with essential nutrients. It contains beneficial components such as carbohydrates, proteins, fats, vitamins, sodium, DHA, and more. High-quality formula milk should not lead to gastrointestinal issues such as diarrhea, vomiting, or problems with digestion, nor should it cause coughing, breathing difficulties, or skin reactions due to an incorrect formula choice. This research aims to explore how mothers select suitable formula milk for their babies. The study utilizes the SIMPLE ADDITIVE WEIGHTING (SAW) method to determine alternative options based on pre-assigned weights and criteria. Following this, the ranking method is applied to identify the best alternative. According to the findings, five alternatives were evaluated: MORINAGA CHIL KID, LACTOGEN, SGM, BEBELOVE, and NUTRIBABY ROYAL 1. Additionally, five criteria were considered: Milk Price, Safety (Bpom Certification, Halal, etc.), Nutritional Content (Protein, Calcium, Iron, Vitamins, etc.), Taste (Natural Sweetness, Vanilla, Honey), and Market Availability.
Co-Authors Agoes Dariyo Aisah Amini Amirullah Wahid Arista Widya Ningsih Arman Syah Putra Budhi Sriyono Prasetyo Chaliluddin Chaliluddin Cinta Apriliza Daru Susanti David Dermawan Deni Adhar Dian Gustina Dita Mawarni Dwi Fitri Rahayu Eka Ade Putri Elisa Br Sembiring Eva Flourentina Kusumawardani Faisal Syahputra Febly Fauziah Hafifah Hafifah Harninda Br Keliat Herdi Susanto Herdina Putri Ahmadi Hidayat, Rahmadani Indah Permata Sari Juli Iriani Lili Eky Nursia N Lili Tanti Maiza Duana Muhammad Dhafir Muhammad Idkham Muhammad Rayhansyah Nazimah Nazimah Nilahayati Nur Ramahacky Nurhayati Nurhayati Nursa'adah Cibro Nurul Aisyah Nusyirwan Nusyirwan Panji Kresna Dhamarsa Rahmat Fadhil Rahmiyati Rahmiyati Randa Ersada Sherly Rohana Silvia Amara Suyanto Suyanto Syamsul Bahri Ujang Nurjaman Ulfiah Ulfiah V H Valentino Yuslina wulandari Heppy Zikriah Zikriah