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All Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Sistem Pendukung Keputusan dengan Aplikasi
Rieska Rahayu Ayuningsih
Universitas Nusa Putra
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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ANALISIS TINGKAT AKURASI SIGNAL INDIKATOR EXPONENTIAL MOVING AVERAGE PADA BITCOIN (PERIODE 2017 – 2023) Rizwan Nurfalah; Habi Baturohmah; Rieska Rahayu Ayuningsih
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 3 (2023): EDISI 17
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i3.2969

Abstract

In the current era, technology is growing rapidly in various sectors, one of which is quite significant, namely the presence of digital currency with blockchain technology which brings changes in economic movements by carrying the name cryptocurrency. In this study the aim is to measure data on the accuracy of the Exponential Moving Average indicator in technical analysis of digital currency cryptocurrency. This research takes Bitcoin digital currency data for the period 2017 – 2023 as the object of the research conducted. The results of research on the level of accuracy of the Exponential Moving Average indicator on Bitcoin during the period 2017 – 2023 is to obtain an accuracy rate of 53.33% by knowing the level of accuracy in making decisions to make sales and purchases so as an investor can minimize risk in investing.
Decision Support System Model for Determining Priority Criteria for Quality of DANA Application Services Using the AHP Method Riko Amanah Gusni; Rieska Rahayu Ayuningsih; Rahmat Hidayat
Sistem Pendukung Keputusan dengan Aplikasi Vol 5 No 1 (2026)
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/spk.v5i1.1570

Abstract

Amid the rapid adoption of financial technology in Indonesia, user satisfaction has become a critical factor in sustaining digital wallet services. This study aims to analyze and determine the priority of service quality criteria that most significantly influence user satisfaction with the DANA application, while also developing a Decision Support System (DSS) model based on the Analytical Hierarchy Process (AHP) method to assist developers and product management in establishing service improvement priorities. This study employs a descriptive quantitative approach involving 152 students from the Information Systems Study Program at Universitas Nusa Putra, selected using a purposive sampling technique. Primary data were collected through a pairwise comparison questionnaire to assess four main dimensions of service quality: Security, Ease of Use, Performance, and Features. The AHP method was applied to generate priority weights for each criterion and to evaluate the consistency of respondents’ judgments. The analysis results indicate that Security is the top priority with a weight of 44.8%, followed by Ease of Use (25.1%), Performance (17.9%), and Features (12.2%). The Consistency Ratio (CR) value of 0.076 (< 0.1) confirms that the respondents’ judgments are consistent and valid. These findings demonstrate that for users with high technological literacy, data protection and usability are prioritized over feature completeness. The proposed DSS model provides a systematic decision-making framework for developers to focus on strengthening cybersecurity measures and simplifying the user interface to maintain user trust and loyalty.
Co-Authors Habi Baturohmah Rahmat Hidayat Riko Amanah Gusni Rizwan Nurfalah