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All Journal Jurnal Teknoin INFORMAL: Informatics Journal Jurnal Teknologi Dan Sistem Informasi Bisnis
Anief Fauzan Rozi
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Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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Journal : INFORMAL: Informatics Journal

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Rekomendasi Pemilihan Minat Studi Menggunakan Metode Mamdani Studi Kasus : Program Studi Sistem Informasi FTI UMBY Anief Fauzan Rozi; Agus Sidiq Purnomo
INFORMAL: Informatics Journal Vol 2 No 3 (2017): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Determination of the concentration / interest of study for most students can’t be applied easily. Most students still do not know exactly what their concentration is. Only for students who are smart in IPK and mature in the pattern of thinking that can determine the concentration of studies easily and not wrong target. Besides still confused and tend to choose the concentration that is not in accordance with the interests and talents of each. Confusion or the majority of students' mistakes to specialization in accordance with the ability due to the number of elective courses offered in line with the interests offered. Based on this problem, it takes a decision making tool or recommendation to the student about the concentration/interest of study whether the most appropriate according to ability. In this research will be made decision support system for recommendation of study by implementing fuzzy inference (mamdani). Where this system will provide information on the interest of the study can be selected based on the value variable. So it can help students in choosing the interests of the study in accordance with the appropriate competence and interest talent. Based on the 20 data that have been tested, obtained 19 data and 1 data that is not appropriate, thus can be calculated the performance of the system that is equal to 95%.
Rekomendasi Penentuan Target Pemasangan Iklan Facebook Ads Menggunakan Metode SAW Anief Fauzan Rozi; Suryadin Suryadin
INFORMAL: Informatics Journal Vol 4 No 2 (2019): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v4i2.10123

Abstract

In determining the interest of potential customers on Facebook, so far there are no tools and basic benchmarks as indicators that can be used as a reference for them to determine the target of online advertising. There is also no tool found in the form of software in the form of a decision support system that can help business people to process data and make decisions. The purpose of this study was to create a decision support system software for determining Facebook ads using the SAW method, with 6 criteria, namely the preferred page, likes, comments, shared, redeemed ads, ads clicked. The results of calculations using the system as well as those that have been manually calculated indicate that recreation is the best interest because it is based on a value of 14.60, with a percentage of suitability of 100%. So that the designed system can be used as a decision-making tool.
Co-Authors Auzan Widyan Inne Irianti Sinon Sidiq Purnomo, Agus Suryadin Suryadin