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All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Information Technology and Computer Science
Farah, Najla Alia
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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TOPSIS for mobile based group and personal decision support system Dewi, Ratih Kartika; Jonemaro, Eriq Muhammad Adams; Kharisma, Agi Putra; Farah, Najla Alia; Dewantoro, Mury Fajar
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 7, No 1 (2021): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v7i1.2140

Abstract

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an algorithm that can be used for alternative design in a decision support system (DSS). TOPSIS provides recommendation so that users can get information that support their decision, for example a tourist wants to visit a tourist destination in Malang, then TOPSIS provides recommendations of tourist destinations in the form of ranking recommendation, with the highest rank is the most recommended recommendation. TOPSIS-based Mobile Decision Support System (DSS) has relatively low algorithm complexity. However, there are some cases that require development from personal DSS to group DSS, for example tourists rarely come alone, in which case most of them invite friends or family. For users who are more than 1 person, the TOPSIS algorithm can be combined with the BORDA algorithm. This study explains about the implementation & testing of TOPSIS and TOPSIS-BORDA as algorithms for personal and group DSS in mobile-based tourism recommendation system in Malang. Correlation testing was conducted to test the effectiveness of TOPSIS in mobile-based recommendation system. In previous study, correlation testing for personal DSS showed that there was a relationship between the recommendation and user choice, with correlation value of 0.770769231. In this study, correlation testing for group DSS showed there is a positive correlation of 0.88 between the recommendations of the group produced by TOPSIS-BORDA and personal recommendations for each user produced by TOPSIS.
Comparison of Indonesian Population Information System Service Performace Based On Information System Functional Scorecard Theory Farah, Najla Alia; Herlambang, Admaja Dwi; Rachmadi, Aditya
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1041.82 KB) | DOI: 10.25126/jitecs.202163306

Abstract

The Balikpapan Population and Civil Registration Office has implemented service automation by using an information system to support the population and civil registration administration services in Balikpapan, Indonesia. The information system implemented is called The Population Administration Information System (SIAK). The office has previously implemented an information system similar to SIAK, namely the Population Administration Organizing System (SPAK). One of the office aims is to improve the quality of SIAK. SIAK quality is improved in order to achieve optimal service. As a step of achieving vision and mission, implementing work functions and optimizing the utilization of information systems, the comparison of information system performance between information systems that have been used with information systems that have previously been used. The guidelines used in assessing the performance of both systems are Information System Functional Scorecard (ISFS) theory. The data collected by questionnaires then conducted Paired-T Test so that the results of the two systems were obtained differences and can be compared to know which system is superior. SIAK is an information system that is declared superior to SPAK. Furthermore, the comparison results become a reference in providing recommendations for SIAK performance improvement based on the performance comparison results with SPAK.
Co-Authors Aditya Rachmadi, Aditya Admaja Dwi Herlambang, Admaja Dwi Agi Putra Kharisma, Agi Putra Dewantoro, Mury Fajar Jonemaro, Eriq Muhammad Adams Ratih Kartika Dewi