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All Journal Jurnal Teknologi dan Manajemen Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jambura Journal of Informatics Jusikom: Jurnal Sistem Informasi Ilmu Komputer Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Decode: Jurnal Pendidikan Teknologi Informasi SATIN - Sains dan Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT
Alfa Yohannis
Pradita University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Journal : Jurnal Teknik Informatika (JUTIF)

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Sentiment Analysis of Getcontact Application Reviews on Google Play Store Using Naive Bayes Algorithm Kurniawan, Rido Dwi; Yohannis, Alfa; Atmojo, Wahyu Tisno
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5248

Abstract

In the contemporary digital era, the increasing incidence of fraud and unwanted communications has become a serious concern, driving the adoption of security apps like GetContact. This study aims to analyze public perception of the GetContact app by conducting a systematic sentiment analysis of user reviews on the Google Play Store. Using a text mining framework, 990 user reviews were collected, processed to ensure data quality, and then classified using the Naive Bayes algorithm to determine sentiment polarity. Quantitative results show a significant dominance of negative sentiment, comprising 419 reviews (42.3%), followed by positive sentiment, comprising 291 reviews (29.4%), and neutral sentiment, comprising 280 reviews (28.3%). Qualitative analysis through data visualization reveals that the primary user complaints center on basic functionality issues such as login difficulties, while positive sentiment is driven by the perception that the app is very helpful. These findings provide critical actionable insights for developers to prioritize improvements in areas of greatest user concern. This study advances sentiment analysis by demonstrating the efficacy of Naive Bayes in classifying unstructured app reviews, offering a scalable approach to evaluating user feedback in mobile app development.
PROTOTYPE OF CONTACTLESS PAYMENT SYSTEM WITH RFID AND BLOCKCHAIN TECHNOLOGY INTEGRATED WITH MOBILE APPLICATION Jiustian, Danny; Yohannis, Alfa
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.2002

Abstract

The COVID-19 pandemic has led to a change in payment methods, with a shift towards cashless payments to avoid germs and viruses. Contactless payments, especially those using RFID technology, have become popular due to their convenience and no need to enter security codes. However, there is a risk of data manipulation in transaction records, leading to decreased trust and transparency. To solve this problem, this research develops an RFID contactless payment system connected with blockchain technology as the main goal of the research. Blockchain is known for its security and transparency, making it suitable for minimizing data manipulation that often occurs. This research will use the Sepolia Test Network of the Ethereum base network for development in terms of blockchain to serve as a security layer in this research. The Waterfall method will be used for application development, focusing on structured and linear stages such as requirements analysis, system design, implementation, testing, and maintenance. The application development process has shown positive results, with successful black box testing and the ability to track and validate transactions stored in the database and blockchain. This validation process is critical to ensure the integrity of transactions and detect any data manipulation.
Co-Authors Aida Lestari Atmojo, Wahyu Tisno Christian, Brandon Josua Chudra, Glenny Dazki, Erick Devisepte, Okhama Siladata Dhamayanti, Raditia Eko Setiawan Ghazali, Arnold Christopher Glenny Chudra Glenny Chudra Indrajit, Eko Jiustian, Danny Laurenso, Justin Manaek, Roy Mareta, Arvin Ong, Alexander Dennis Permatasari, Ayu Novira Shinta Purawidjaja, Ratna Amalia Raditia Dhamayanti Rido Dwi Kurniawan Setiawan, Richard Siregar, Master Edison Watasendjaja, William Wiyanto, Novianthony