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All Journal Jurnal Sains Teknologi dan Sistem Informasi Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer
Ronald Belferik
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Computer Science & IT Industrial & Manufacturing Engineering

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DISCUS AQUARIUM WATER QUALITY ANALYSIS USING THE METHOD FUZZY MAMDANI Ronald Belferik; Micka Krisdayani br Manurung
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 2 No. 3 (2022): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.39 KB) | DOI: 10.55606/juisik.v2i3.310

Abstract

Aquarium is one of the media that is often used as a habitat for various types of animals that live both on land and in water. Many beautiful fish in the scenery are placed in aquariums filled with water as decorations. However, to place fish whose natural habitat is in vast water into an aquarium must require knowledge of the water quality that is suitable for these fish. Clear water is not necessarily suitable for the living conditions of fish. Fish that live in an open water environment grow well because not only is there sufficient food but there is an exchange of matter and energy such as oxygen, carbon dioxide and salts. Whereas in an aquarium environment, as a closed system, sudden and drastic changes to water parameters often occur (such as temperature, ph and ammonia content), which will cause fish stress and often lead to death. Therefore, the knowledge and ability to determine good fish aquarium water quality is an important element for fish keepers, especially hobbyists of ornamental fish such as discus. Classifying quality with a crisp set is a common practice. The number of variables involved in the aquarium (in this case, the object of research is discus) causes determination with a firm (crisp) set to be less appropriate. Therefore, the fuzzy mamdani method will produce outputs that are more suitable for analyzing the quality of aquarium discus. The input variables are density, temperature, and acidity. The outputs used are "Good", "Medium", "Bad".
Evaluasi Kepuasan Pelanggan Aplikasi Spotify Berdasarkan Customer Satisfaction Index (CSI): Studi Kasus Pengguna di Indonesia Rudolfo Rizki Damanik; Ronald Belferik; Chandra, Wenripin; Rosyadi, M. Dedy; Aulia Rizky Muhammad Hendrik Noor Asegaff
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 2 (2024): Oktober 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i2.3214

Abstract

This study aims to measure customer satisfaction with the Spotify application using the Customer Satisfaction Index (CSI) method. Customer satisfaction is a crucial aspect for service providers to understand in order to improve product quality and competitiveness. Data were collected through questionnaires distributed to active Spotify users from various demographics. After data collection, validity and reliability tests were conducted using SPSS to ensure the accuracy of the research results. The analysis shows that Spotify's customer satisfaction level falls into the very satisfied category, with a CSI score of 87.39%. This finding indicates that the majority of users feel that Spotify meets or exceeds their expectations in terms of functionality, service quality, and ease of use. This study provides important insights for Spotify to maintain and improve customer satisfaction through continuous service enhancements. In conclusion, user satisfaction with Spotify is relatively high, and these research results can serve as a reference for the company in formulating strategies for future service improvements.
Co-Authors Aulia Rizky Muhammad Hendrik Noor Asegaff Chandra, Wenripin Micka Krisdayani br Manurung Rosyadi, M. Dedy Rudolfo Rizki Damanik