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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Information Technology
Viry Puspaning Ramadhan
Sistem Informasi, Universitas Merdeka Malang, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Journal of Information Technology

 1 
Klasterisasi Komentar Cyberbullying Masyarakat di Instagram berdasarkan K-Means Clustering Viry Puspaning Ramadhan; Giasinta Mareskoti Namung
J-INTECH ( Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.846

Abstract

Cyberbullying has become a serious problem on social media platforms like Instagram. In an effort to overcome this problem, this study aims to classify cyberbullying comments made by Instagram users. The method used in this study is K-Means Clustering, which is a grouping technique commonly used in data analysis. The comment data collected from Instagram is then analyzed using the K-Means Clustering algorithm to identify patterns and groups of similar comments. The findings from this study can provide a better understanding of the types and characteristics of cyberbullying comments that often appear on Instagram. By knowing groups of similar comments, prevention and response measures can be designed more effectively. In addition, the results of clustering can also help in the development of automatic detection algorithms to identify cyberbullying comments on social media platforms. Based on the evaluation carried out on the clustering results with a silhouette score = 0.690152, namely in cluster C1, which is a negative cluster. So, the most dominant cyberbullying comments are negative comments.
Perancangan UI/UX Layanan Jahit Pakaian Dengan Menggunakan Pendekatan Design Thinking di Kota Malang Everista Richarda Lefteuw; Viry Puspaning Ramadhan
J-INTECH ( Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1150

Abstract

The development of technology greatly affects the needs of life and the way people think, especially the development of technology software. This then makes the development of User Interface (UI) and User Experience (UX) need to be a concern. Currently, the number of tailors in Malang City is increasing and has different specialties, and consumer demand is also increasing so that to get a sewing place, customers must take the time and come directly to the tailor. The problem is, not everyone can find out all the locations of sewing places around his house and whether the sewing place can still accept customers or not. This research aims to design a prototype application of clothing sewing services in Malang City and to provide information on clothing sewing services that can meet the needs of the community. Researchers use the Application of Design Thinking because it is able to produce more innovative and effective solutions in designing products or services and use the figma application to design prototypes. The testing process is carried out online using Maze Design as a test on interface design and System Usability Scale (SUS) which aims to measure user perceptions of interface usability. The test results using SUS (system usability scale) obtained an average value of 71.38, so it can be concluded that the system is well received.
Pengaruh Kualitas Layanan terhadap Kepuasan dan Loyalitas Pengguna Brimo Menggunakan Model E-Service Quality Fransiska Armelia Adut; Viry Puspaning Ramadhan
J-INTECH ( Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1288

Abstract

The purpose of this study is to evaluate the quality of service offered by Bank Rakyat Indonesia's (BRI) BRIMO application, and how this impacts user satisfaction and loyalty. The Servqual method was used to survey 100 students of Universitas Merdeka Malang (UNMER). The results showed that five dimensions of service quality-tangibles, responsiveness, reliability, empathy, and assurance significantly impacted user satisfaction and loyalty. The physical elements of the BRIMO application, specifically internet availability and system responsiveness, have a significant influence on user satisfaction and user loyalty. Users are more satisfied because of the BRIMO staff responsiveness to their feedback, while users feel more comfortable and satisfied that the privacy and security of their data is guaranteed. The ability of BRIMO employees to communicate well and provide full attention increases user satisfaction and user loyalty. This research shows that improving the service quality of digital banking apps is critical to maintaining user satisfaction and their loyalty.
Komparasi Naïve Bayes dan K-NN Dalam Analisis Sentimen di Twitter Terhadap Kemenangan Paslon 02 Alfira Fitri Nur Azizah; Viry Puspaning Ramadhan
J-INTECH ( Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1305

Abstract

The 2024 Presidential and Vice Presidential Election stands out as a highly awaited political event by the people of Indonesia. The vote counts result, or real count, of the 2024 election have sparked a variety of reactions, both supportive and opposing, especially on social media platforms like Twitter, due to the lead of candidate pair number 02. This study utilizes Twitter as a data source for opinion interpretation. The Naïve Bayes and K-NN were chosen in this study, and their performances are tested and compared. The research results present Naïve Bayes with an accuracy rate of 87.35% +/- 1.81% (micro average: 87.35%), while K-NN algorithm achieved an accuracy rate of 69.68% +/- 3.14% (micro average: 69.68%) using a data partition ratio of 90:10. The analysis results indicate that Naïve Bayes is more effective than K-Nearest Neighbor.
Co-Authors Alfira Fitri Nur Azizah Anis Zubair, Anis Everista Richarda Lefteuw Fransiska Armelia Adut Giasinta Mareskoti Namung Iqbal Baghis Kenvin Rahmatina Hidayati