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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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Application of SMART Method and Dashboard Visualization for Student Code of Conduct Violations Devega, Mariza; Darmayunata, Yuvi; yuhelmi, Yuhelmi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4593

Abstract

In order to handle student discipline infractions at school, this project intends to design a decision support system (DSS) based on the Simple Multi-Attribute Rating Technique (SMART) technique integrated with a graphical dashboard. A variety of visual tools, such as scatter plots, heatmaps, pie charts, bar charts, and line charts, are used to evaluate and display violation data. This integration's primary goals are to make monitoring and analysis faster and more efficient and to support decision-making with regard to student infractions. The findings demonstrate how the SMART approach and visualization dashboard can be used to manage violation data more effectively, provide a better knowledge, and speed up reactions to infractions. This technique makes it easier for schools to spot trends in infractions, choose the best course of action for corrective measures, and enhance overall student discipline. It is anticipated that this system will enable discipline management in a learning environment in an efficient manner.
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
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 Nurliana Nasution, Nurliana Nyoto Nyoto, Rebecca La Volla Pratama, Ega Priofani, Alfariz Rebecca La Volla Nyoto Rebecca, Rebecca La Volla Nyoto Rendi Haryono Septy Ria Saputri Ria Saputri, Ria Ridho Alfandi Rismayeti Rismayeti Saputra, Tegar Adi Sianipar, Agnes Novita Sitompul, Monica Sri Febrianti, Zahra Susi Handayani Susi Handayani Susi Handayani Walhidayat Walhidayat Walhidayat Walhidayat, Walhidayat Yuhelmi , Yuhelmi Yuhelmi Yuhelmi Yuhelmi, Y Yundari, Yundari Zamzami, Zamzami Zuhrahfi Harahap