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All Journal Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika IT JOURNAL RESEARCH AND DEVELOPMENT INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi MURA Patria Artha Technological Journal Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat Multidisiplin Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Ipteks Terapan : research of applied science and education J-COSCIS : Journal of Computer Science Community Service CONSEN: Indonesian Journal of Community Services and Engagement JURNAL KARYA ILMIAH MULTIDISIPLIN Jurnal Teknologi Informasi Mura
Mariza Devega
Universitas Lacang Kuning
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ANALISIS SENTIMEN TERHADAP PENGGUNAAN APLIKASI MOBILE JKN DENGAN PENDEKATAN RANDOM FOREST CLASSIFIER Sri Febrianti, Zahra; Devega, Mariza
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 3 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/gf3ekc32

Abstract

Health is a fundamental need for all people. In an effort to ensure equitable access to health insurance services in Indonesia, the government has assigned BPJS Kesehatan as the national health insurance provider. As part of its digital innovation, BPJS Kesehatan introduced the Mobile JKN application to make it easier for the public to access healthcare services online. However, the implementation of this application still raises various complaints, such as login difficulties, update disruptions, and limited features, as reflected in predominantly negative user reviews. To objectively assess public perception, this study conducted sentiment analysis on 5,000 user reviews of Mobile JKN obtained from the Google Play Store. The analysis process included cleaning, tokenizing, stopword removal, stemming, labeling, and word weighting using TF-IDF. Classification was performed using the Random Forest Classifier algorithm. The results showed that out of 976 test data, 883 were correctly predicted and 93 were misclassified, with an accuracy of 90.47%, precision of 90.15%, recall of 90.47%, and an F1-score of 89.90%. These findings demonstrate that Random Forest is effective in identifying both positive and negative sentiments and can serve as a basis for the future development of the Mobile JKN application
Peramalan Harga Emas (XAU/USD) menggunakan metode Sigle Exponential Smoothing (SES) dan Autoregressive Integrated Moving Average (ARIMA) Aidil Adha, Balqis; Devega, Mariza
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i3.10397

Abstract

Gold (XAU/USD) is one of the most significant global commodities, often viewed as a safe-haven asset amid economic and political uncertainty. Accurate forecasting of gold prices is crucial for investors and policymakers in formulating strategic financial decisions. This study aims to compare the performance of the Single Exponential Smoothing (SES) and Autoregressive Integrated Moving Average (ARIMA) methods in forecasting gold prices using historical datasets from Kaggle, Investing.com, and ForexSB covering the period from January 2020 to September 2024. The analysis was conducted using Python on Google Colaboratory with evaluation metrics including Mean Squared Error (MSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). The results show that both SES and ARIMA effectively captured the upward trend of gold prices, with SES achieving slightly better accuracy across all datasets. The lowest MAPE value of 0.62% was obtained using SES on the ForexSB dataset, indicating an excellent forecasting performance. Therefore, SES is considered more efficient and reliable for non-seasonal time series with stable trends
Analisis Eight Golden Rules pada Sistem Informasi LPPM Universitas XYZ Rebecca La Volla Nyoto; Mariza Devega; Y Yuhelmi; N Nyoto
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.893

Abstract

This study aims to analyze the interface quality of the Research and Community Service Information System (SIPP) at Universitas XYZ using Ben Shneiderman’s Eight Golden Rules. SIPP plays an essential role in managing research and community service activities carried out by university lecturers. However, no previous studies have specifically evaluated the system’s interface design in accordance with recognized user interface principles. This research adopts a qualitative approach through two main methods: participatory observation and expert review. The researcher actively used the system as a user to identify real-world usability issues, while the expert review involved a practitioner with UI/UX expertise. The analysis revealed that several principles of the Eight Golden Rules have not yet been fully implemented, such as limited feedback on user actions, absence of shortcuts to facilitate navigation, and a lack of confirmation prompts during critical operations. Based on these findings, interface improvement recommendations were developed in the form of wireframes using Balsamiq Cloud to enhance usability, control, and efficiency for lecturers at Universitas XYZ as system’s primary users.
Copywriting Technique and Digital Content Design Training Using Canva for Students of SMA PGRI Pekanbaru to Improve Digital Literacy and Creativity Walhidayat Walhidayat; Muhamad Sadar; Septiandi Putra; Mariza Devega; Rifka Zahra; Yuhelmi Yuhelmi
J-COSCIS : Journal of Computer Science Community Service Vol. 6 No. 2 (2026): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/4gwmte30

Abstract

This community service activity aims to improve the understanding of SMA PGRI Pekanbaru students in content publication management on social media platforms for digital entrepreneurship purposes. The training focused on three main aspects: (1) content planning, (2) social media algorithm optimization techniques, and (3) content performance analysis. The implementation method included an 8-hour interactive workshop attended by 50 selected students. Evaluation using a combination of questionnaires and quizzes showed significant results: participants' understanding of content management increased by 82.5%. In detail, there were improvements in: Ability to create a content publication schedule (from 25% to 89%), Understanding of strategic hashtag usage (from 18% to 76%), and Ability to analyze content insights (from 12% to 68%). Hands-on practice using case studies showed 73% of participants were able to create a content calendar for the week ahead, while 65% were able to identify the best time to post based on audience analysis. Participatory observation revealed that the learning by doing approach through a dummy business account management simulation was effective in increasing student engagement. The main obstacles encountered were limited internet infrastructure in schools and variations in participants' initial digital literacy levels. The solution provided was an independent module and the division of learning groups based on ability levels. This activity recommends the importance of integrating social media content management materials into the school entrepreneurship curriculum, with an emphasis on continuous practice and periodic evaluation.
Co-Authors Ahmad Zamsuri, Ahmad Ahsal Ryan Prayogo Aidil Adha, Balqis Antonius Fernando Ayu Yuliandesi Bayu Febriadi, Bayu Darmayunata, Yuvi darmayunata, yuvi Elvira Asril, Elvira Fajrizal Fajrizal, Fajrizal Fana Wiza Fana Wiza, Fana Guntoro, Guntoro La Volla Nyoto, Rebecca Lisnawita Lisnawita Loneli Costaner M. Sadar Mely Syafira Mhd. Arief Hasan, Mhd. Arief Misno Sugianto Muhamad Sadar, Muhamad N Nyoto Nurliana Nasution, Nurliana Pratama, Ega Priofani, Alfariz Rebecca La Volla Nyoto Rebecca La Volla Nyoto Rebecca, Rebecca La Volla Nyoto Rendi Haryono Septy Ria Saputri Ria Saputri, Ria Ridho Alfandi Rifka Zahra Rismayeti Rismayeti Saputra, Tegar Adi Septiandi Putra Sianipar, Agnes Novita Sitompul, Monica Sri Febrianti, Zahra Susi Handayani Susi Handayani Susi Handayani Walhidayat Walhidayat Walhidayat Walhidayat, Walhidayat Y Yuhelmi Yuhelmi , Yuhelmi Yuhelmi Yuhelmi Yuhelmi Yuhelmi Yundari, Yundari Zamzami, Zamzami Zuhrahfi Harahap