Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Sistim Informasi dan Teknologi
Novi Rahayu
STIA Bengkulu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
The Application of Mobile Security Framework (MOBSF) and Mobile Application Security Testing Guide to Ensure the Security in Mobile Commerce Applications Chairul Anwar; Chevy Herli Sumerli A; Sultan Hady; Novi Rahayu; Kraugusteeliana Kraugusteeliana
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i2.231

Abstract

The use of mobile devices is one aspect of information technology that is now expanding quickly. In recent years, the use of mobile applications has increased in various areas of Indonesian society. However, cybercrimes such as data leaks are also increasing in Indonesia. One of them is the case of data theft in mobile commerce applications in Indonesia, where as many as more than 90 million user records were illegally traded by hackers on dark web sites. The mobile commerce application also stores sensitive user data for use in its business processes, such as email, passwords, addresses, telephone numbers, and account numbers. The goal of this study is to evaluate and identify security vulnerabilities or loopholes that could harm providers and users of the Android-based mobile commerce application using the Mobile Security Framework (MOBSF) and the OWASP Mobile Application Security Testing Guide (MASTG). This research was carried out in five stages: preparation, data collection, mapping the application (mapping vulnerabilities), exploitation, and reporting. The results of the study found that the mobile commerce application has a security gap issue in the data storage range in the parameter (MSTG-STORAGE-5) and in the authentication architecture range in the parameter (MSTG-AUTH-5 and MSTG-AUTH-6).
Analysis of The Influence of Negative E-Word of Mouth on Brand Disloyalty and Distrust of Digital Payment Application Users Firdaus Yuni Dharta; Haniwijaya Pahlawansah; Amin Budiastuti; Novi Rahayu; Mutiasari
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v5i3.307

Abstract

This study examines the possibility that brand mistrust mediates the indirect impact of unfavorable e-WOM on brand disloyalty among users of financial applications. Users of financial applications make up the research's sample population. With a total of 100 respondents, the researchers sampled using the non-probability sampling approach. Quantitative data is the type of information that researchers employ. In this study, questionnaires were used to gather data. Path analysis is the data analysis technique applied by the researchers in this study. According to research findings, bad E-WOM has an impact on consumers' mistrust of brands. Negative E-WOM has an impact on brand disloyalty. Brand disloyalty is not partially influenced by brand mistrust. Negative E-WOM and brand mistrust both have an impact on brand disloyalty simultaneously. Negative E-WOM does not have an indirect impact on brand disloyalty, which is mediated by brand distrust.
Internet of Things (IoT) Integration for Real-Time Monitoring in Smart Cities T. Irfan Fajri; Novi Rahayu; Wasiran; Yusuf Unggul Budiman; Novrini Hasti
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3465

Abstract

The advancement of Internet of Things (IoT) technology has opened great opportunities for the implementation of real-time monitoring systems in supporting smart city management. This research aims to develop an IoT integration model that can monitor various urban aspects, such as traffic management, energy consumption, waste management, and air quality, in an efficient and integrated manner. The model is designed to collect, process, and analyze data from various IoT sensors scattered in urban areas, with a focus on delivering information in an integrated manner. urban areas, with a focus on delivering real-time information to the government and the public. The research methodology includes the development of development of an IoT-based system prototype that integrates hardware and hardware and software with the support of cloud computing architecture for data management. data management.
Integrasi Big Data dan AI untuk Pengambilan Keputusan dalam Smart City T. Irfan Fajri; Novi Rahayu; Handry Eldo; Giatika Chrisnawati; Rizkia Shaulita
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3860

Abstract

This research explores the integration of Big Data technology and Artificial Intelligence (AI) in decision-making in the context of Smart City. With the massive growth of data from various sources such as IoT, sensors, and information systems, Big Data is becoming an important foundation for in-depth analysis. Meanwhile, AI provides the ability to process data in real-time, identify patterns, and generate accurate recommendations. This research aims to analyze how the combination of these two technologies can improve efficiency, sustainability, and quality of life in cities. The methods used include literature review and case analysis in several smart cities. The results show that the integration of Big Data and AI can support faster, more precise, and data-driven decision-making, thus encouraging the creation of a smarter and more responsive city.
Co-Authors Amin Budiastuti Chairul Anwar Chevy Herli Sumerli Firdaus Yuni Dharta Giatika Chrisnawati Handry Eldo Haniwijaya Pahlawansah Kraugusteeliana Kraugusteeliana Mutasar Mutiasari Novrini Hasti Rizkia Shaulita Sultan Hady Wasiran Yusuf Unggul Budiman