Cited by Scopus indexed articles

 

No. Jurnal Riset Informatika Article Cited by Scopus indexed articles Quartile
1. Puspita, A., Yuningsih, Y., Fahmi, M., & Yunandar, R. T. (2021). DESIGN AND DEVELOPMENT OF ACCOUNTING INFORMATION SYSTEM FOR CASH SALES OF MILD STEEL. Jurnal Riset Informatika, 4(1), 111–118. DOI: https://doi.org/10.34288/jri.v4i1.145 Singh, S., Kumar, R., Badhoutiya, A., Sharma, U., Alkhayyat, A., & Shah, S. K. (2024, February). Web-Based Inventory, Stock Monitoring and Control System Powered by Local Encrypted Web Server. In 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 741-744). IEEE. DOI: https://doi.org/10.23919/INDIACom61295.2024.10498795 Non-Q
2. Saputra, R. D., Agusty, M. A., Hanifah, J., Rezkyandar, M., Inda, S., & Abdiansah. (2021). MENTAL HEALTH APPLICATION PROTOTYPE WITH MACHINE LEARNING AND AUGMENTED REALITY APPLICATION DURING THE COVID-19 PANDEMIC. Jurnal Riset Informatika, 3(4), 401–408. https://doi.org/10.34288/jri.v3i4.107 Angra, S., Sharma, B., & Sharma, K. D. (2022, April). Amalgamation of virtual reality, augmented reality and machine learning: A review. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 2601-2604). IEEE. DOI: https://doi.org/10.1109/ICACITE53722.2022.9823716 Non-Q
3. Nurchasanah, L., Firdaus, A. C., & Fitriati, D. (2022). APPLICATION OF PROFILE MATCHING ALGORITHM IN SELECTION OF THE BEST EMPLOYEES IN PROPERTY COMPANY. Jurnal Riset Informatika, 4(2), 135–140. https://doi.org/10.34288/jri.v4i2.150 Angra, S., Sharma, B., & Sharma, K. D. (2022, April). Amalgamation of virtual reality, augmented reality and machine learning: A review. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 2601-2604). IEEE. DOI: https://doi.org/10.1109/ICACITE53722.2022.9823716 Non-Q
4. Ramadanti, E., Muslih, M., & Arianti, N. D. (2022). DESIGN OF WEB-BASED VIRTUAL TOURISM INFORMATION SYSTEM AT GEOPARK CILETUH SUKABUMI. Jurnal Riset Informatika, 4(3), 259–268. https://doi.org/10.34288/jri.v4i3.177 Taofiqurohman, A., Ismail, M. R., & Zallesa, S. (2024). Integrated analysis of human activities and environmental pressures along the coast of Ciletuh-Palabuhanratu UNESCO Global Geoparks, Indonesia: An ODEMM linkage framework and TOPSIS approach. AACL Bioflux, 17(1). URL: http://www.bioflux.com.ro/docs/2024.98-115.pdf SCImago Journal & Country Rank
5. Aisyah, S., Ali, Y., Saharja, K., & Sani, A. (2022). SMART DOOR LOCK SYSTEM DEVELOPMENT PROTOTYPE USING RFID TECHNOLOGY ID-12. Jurnal Riset Informatika, 4(4), 379–384. https://doi.org/10.34288/jri.v4i4.118 El-Yakub, U. R., Jimpa, K., Mandal, A. K., & Saha, H. (2023, December). Blynk, Database and WhatsApp Integrated RFID Based Lock System. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE. DOI: https://doi.org/10.1109/ICCIT60459.2023.10441308 Non-Q
6. Baldanullah, N., Adhania, F., & Fitriati, D. (2022). Comparison of SAW, WP, and TOPSIS Methods in Determining the Best Journalists. Jurnal Riset Informatika, 5(1), 129–138. https://doi.org/10.34288/jri.v5i4.199 Roy, S., Datta, D., & Chatterjee, S. (2024). Classification of water quality using interval TOPSIS method. OPSEARCH, 1-21. DOI: https://doi.org/10.1007/s12597-024-00762-4 SCImago Journal & Country Rank
7. Dwijaya, A. R., & Laksito, A. D. (2023). Sentiment Analysis of Pedulilindungi Application Reviews Using Machine Learning and Deep Learning. Jurnal Riset Informatika, 5(2), 187–194. https://doi.org/10.34288/jri.v5i2.207 Darmawan, A. K., Syah, R. I., & Makruf, M. (2023, October). Sentiment Analysis of Social Media for Indonesian m-Health PeduliLindungi Mobile-Apps (PLMA) with Lexicon-Based and Support Vector Machine Approach. In 2023 IEEE 9th Information Technology International Seminar (ITIS) (pp. 1-7). IEEE. DOI: https://doi.org/10.1109/ITIS59651.2023.10419994 Non-Q
8. Syahputra, M. E., Kemala, A. P., & Ramdhan, D. (2023). Clickbait Detection in Indonesia Headline News Using Indobert and Roberta . Jurnal Riset Informatika, 5(3), 425–430. https://doi.org/10.34288/jri.v5i4.237 Syahputra, M. E., Kemala, A. P., Tjan, F. A., & Susanto, R. (2023, December). Clickbait Detection in Indonesia Headline News Using BERT Ensemble Models. In 2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (pp. 475-479). IEEE. DOI: https://doi.org/10.1109/ISRITI60336.2023.10467417 Non-Q
9. Faisal, A., Handayanna, F., & Purnamasari, I. (2021). IMPLEMENTATION TECHNOLOGY ACCEPTANCE MODEL (TAM) ON ACCEPTANCE OF THE ZOOM APPLICATION IN ONLINE LEARNING. Jurnal Riset Informatika, 3(2), 85–92. https://doi.org/10.34288/jri.v3i2.53 Mohamed Riyath, M. I., Muhammed Rijah, U. L., & Rameez, A. (2022). Students' attitudes on the use of Zoom in higher educational institutes of Sri Lanka. Asian Association of Open Universities Journal, 17(1), 37-52. DOI: https://doi.org/10.1108/AAOUJ-11-2021-0130 SCImago Journal & Country Rank
Wedari, L. K., Fatihah, A. N., & Rusmanto, T. (2022). Zoom application acceptance in online learning: An analysis with the technology acceptance model. International Journal of Information and Education Technology, 12(9), 821-830. DOI: https://doi.org/10.18178/ijiet.2022.12.9.169 SCImago Journal & Country Rank
Sanusi, D., & Mauritsius, T. (2023). Exploring Factors Affecting User Satisfaction in myIM3: Integrating TAM, UTAUT, and the Information Systems Success Model in Mobile Telecommunication Services. Journal of System and Management Sciences, 13(6), 536-553. DOI: https://doi.org/10.33168/JSMS.2023.0631 SCImago Journal & Country Rank
Wijaya, L., Lasian, L., & Enriquez, N. (2022, October). Antecedents of the E-Learning Adoption in Adamson University during Pandemic COVID-19: The Higher Education Students’ Perspectives. In 2022 IEEE 8th Information Technology International Seminar (ITIS) (pp. 113-118). IEEE. DOI: https://doi.org/10.1109/ITIS57155.2022.10010052 Non-Q
Ong, A. K. S., Kurata, Y. B., Castro, S. A. D., Paulene, J., De Leon, B., Rosa, H. V. D., & Tomines, A. P. J. Analysis of Perception and Acceptance on Telemedicine in a Third World Country: A Case Study in the Philippines. URL: https://ieomsociety.org/proceedings/2022nigeria/171.pdf SCImago Journal & Country Rank
Zhilin Liu, Bowang Chen, Dan Cheng. (2022). The Application of Internet Multimedia Technology in the Preschool Education Music Courses. Forest Chemicals Review, 1197-1204. Retrieved from http://www.forestchemicalsreview.com/index.php/JFCR/article/view/631 SCImago Journal & Country Rank
10. Napitupulu, G. T., Oktaviani, A., Sarkawi, D., & Yulianti, I. (2019). PENERAPAN DATA MINING TERHADAP PENJUALAN PIPA PADA CV. GASKINDO SENTOSA MENGGUNAKAN METODE ALGORITMA APRIORI. Jurnal Riset Informatika, 1(4), 167–172. https://doi.org/10.34288/jri.v1i4.23 Sani, A., Waseso, B., Gunadi, G., & Haryanto, T. (2022, September). Data Mining on Sales Transaction Data Using the Association Method with Apriori Algorithm. In 2022 10th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/CITSM56380.2022.9935890 Non-Q
11. Mayatopani, H., Borman, R. I., Atmojo, W. T., & Arisantoso, A. (2021). CLASSIFICATION OF VEHICLE TYPES USING BACKPROPAGATION NEURAL NETWORKS WITH METRIC AND ECCENTRICITY PARAMETERS. Jurnal Riset Informatika, 4(1), 65–70. https://doi.org/10.34288/jri.v4i1.139 Borman, R. I., Rossi, F., Alamsyah, D., Nuraini, R., & Jusman, Y. (2022, November). Classification of Medicinal Wild Plants Using Radial Basis Function Neural Network with Least Mean Square. In 2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS) (pp. 141-146). IEEE. DOI:https://doi.org/10.1109/ICE3IS56585.2022.10010072 Non-Q
Luo, Dong. "Exploration of House Price Prediction Based on ICS-BP Neural Network." Proceedings of the 2023 4th International Conference on Machine Learning and Computer Application. 2023. 57-62. DOI: https://doi.org/10.1145/3650215.3650228 SCImago Journal & Country Rank
12. Yunita, Y., Herman, S., Takwim, A., & Widianto, S. R. (2020). A Study Of Comparing Conceptual And Performance of K-Means and Fuzzy C-Means Algorithms (Clustering Method of Data Mining) of Consumer Segmentation. Jurnal Riset Informatika, 2(2), 49–54. DOI: https://doi.org/10.34288/jri.v2i2.38 Dogan, O., Seymen, O. F., & Hiziroglu, A. (2022). Customer behavior analysis by intuitionistic fuzzy segmentation: comparison of two major cities in Turkey. International Journal of Information Technology & Decision Making, 21(02), 707-727. DOI: https://doi.org/10.1142/S0219622021500607 SCImago Journal & Country Rank
Yang, J. (2021). Digital mining algorithm of English translation course information based on digital twin technology. Wireless Communications and Mobile Computing, 2021(1), 9741948. DOI: https://doi.org/10.1155/2021/9741948 SCImago Journal & Country Rank
Andry, J. F., Tannady, H., Rembulan, G. D., & Edinata, A. (2023). Avocado Price Data Analysis Using Decision Tree. Salud, Ciencia y Tecnología-Serie de Conferencias, 2, 568-568. DOI: https://doi.org/10.56294/sctconf2023568 SCImago Journal & Country Rank
Tang, Z., Jiao, Y., & Yuan, M. (2024). RFM user value tags and XGBoost algorithm for analyzing electricity customer demand data. Systems and Soft Computing, 6, 200098. DOI: https://doi.org/10.1016/j.sasc.2024.200098 SCImago Journal & Country Rank
Rahmah, S. A., & Antares, J. (2021, November). Application of K-Means Clustering Algorithm in Determining Prospective Students Receiving Foundation Scholarship. In 2021 International Conference on Computer Science and Engineering (IC2SE) (Vol. 1, pp. 1-7). IEEE. DOI: https://doi.org/10.1109/IC2SE52832.2021.9792090 Non-Q
Haekal, F. M., & Sutedja, I. (2022, October). Region Grouping Based on Sales Results Using K-Means Algorithm at PT RMK. In 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) (pp. 1-6). IEEE. DOI: https://doi.org/10.1109/ICORIS56080.2022.10031287 Non-Q
Jiang, H. (2022, December). A Semi-supervised Learning-Based Method for Correcting Translation Accuracy of Literature Works. In 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) (pp. 937-950). Atlantis Press. DOI: https://doi.org/10.2991/978-94-6463-024-4_98 Non-Q
13. Rianto, A., & Pratama, A. R. (2021). SENTIMENT ANALYSIS OF COVID-19 VACCINATION POSTS ON FACEBOOK IN INDONESIA WITH CROWDTANGLE. Jurnal Riset Informatika, 3(4), 353–362. DOI: https://doi.org/10.34288/jri.v3i4.101 Malik, A., Berggren, W., & Al-Busaidi, A. S. (2022). Instagram as a research tool for examining tobacco-related content: A methodological review. Technology in Society, 70, 102008. DOI:https://doi.org/10.1016/j.techsoc.2022.102008 SCImago Journal & Country Rank
Yang, A., Sun, J., & Taylor, M. (2022). US Fortune 500’s stakeholders engagement during the COVID-19 pandemic: Evidence for proactive approaches. Public Relations Review, 48(4), 102230. DOI: https://doi.org/10.1016/j.pubrev.2022.102230 SCImago Journal & Country Rank
Zhang, W., Mukerjee, S., & Qin, H. (2022). Topics and sentiments influence likes: A study of Facebook public pages' posts about COVID-19 vaccination. Cyberpsychology, Behavior, and Social Networking, 25(9), 552-560. DOI: https://doi.org/10.1089/cyber.2022.0063 SCImago Journal & Country Rank
Pratama, A. R., & Firmansyah, F. M. (2022). COVID-19 mass media coverage in English and public reactions: a West-East comparison via Facebook posts. PeerJ Computer Science, 8, e1111. DOI: https://doi.org/10.7717/peerj-cs.1111 SCImago Journal & Country Rank
Maruf, A. A., Biplob, M. N. H., & Khanam, F. (2022, September). Covid-19 vaccine sentiment detection and analysis using machine learning technique and nlp. In International Conference on Machine Intelligence and Emerging Technologies (pp. 401-414). Cham: Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-34619-4_32 SCImago Journal & Country Rank
14. Wahyuningtias, Y., & Rusdiansyah, R. (2019). ANALISIS PENERAPAN ASOSIASI UNTUK MENENTUKAN TRANSAKSI PENJUALAN PADA WHAT’S UP CAFÉ DENGAN METODE ALGORITMA APRIORI. Jurnal Riset Informatika, 1(4), 181–186. Sani, A., Waseso, B., Gunadi, G., & Haryanto, T. (2022, September). Data Mining on Sales Transaction Data Using the Association Method with Apriori Algorithm. In 2022 10th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/CITSM56380.2022.9935890 Non-Q
15. Aditya , D. L., & Fitrianah , D. (2021). COMPARATIVE STUDY OF FUZZY C-MEANS AND K-MEANS ALGORITHM FOR GROUPING CUSTOMER POTENTIAL IN BRAND LIMBACK. Jurnal Riset Informatika, 3(4), 327–334. DOI: https://doi.org/10.34288/jri.v3i4.98 Mohammed, G. S., & Al-Janabi, S. (2022). An innovative synthesis of optmization techniques (FDIRE-GSK) for generation electrical renewable energy from natural resources. Results in Engineering, 16, 100637. DOI: https://doi.org/10.1016/j.rineng.2022.100637 SCImago Journal & Country Rank
Gunawan, W., Wiradiputra, R. A., Sari, A. P., Prayama, D., & Nainggolan, E. R. (2023). Prediction of cross-platform and native apps technology opportunities for beginner developers using C 4.5 and Naive Bayes algorithms. JOIV: International Journal on Informatics Visualization, 7(4), 2145-2153. DOI: https://dx.doi.org/10.62527/joiv.7.4.1514 SCImago Journal & Country Rank
Rahmayanti, N., Vinarti, R., Djunaidy, A., Tjin, A., & Liu, J. (2023). Caregiver Segmentation Using The Integration of The Modified Burden Dimensions and Fuzzy C-Means. Procedia Computer Science, 219, 1200-1207. DOI: https://doi.org/10.1016/j.procs.2023.01.402 SCImago Journal & Country Rank
Antonius, V. H., & Fitrianah, D. (2024). Enhancing Customer Segmentation Insights by using RFM+ Discount Proportion Model with Clustering Algorithms. International Journal of Advanced Computer Science & Applications, 15(3). DOI: https://dx.doi.org/10.14569/IJACSA.2024.0150390 SCImago Journal & Country Rank
16. Kusumawardani, R., & Solichin, A. (2019). IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENYELEKSI SAHAM PRIMA. Jurnal Riset Informatika, 1(3), 118–118.  Soetanto, H. (2019, September). Decision support system with simple additive weighting for recommending best employee. In 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) (pp. 438-441). IEEE. DOI: https://doi.org/10.23919/EECSI48112.2019.8977031 Non-Q
17. Joosten, J. (2021). THE BLACK BOX TESTING AND LOC METHOD APPROACH IN TESTING AND STREAMLINING THE PATIENT REGISTRATION PROGRAM. Jurnal Riset Informatika, 3(2), 137–144. DOI: https://doi.org/10.34288/jri.v3i2.59 Şanlıalp, İ., Öztürk, M. M., & Yiğit, T. (2022). Energy efficiency analysis of code refactoring techniques for green and sustainable software in portable devices. Electronics, 11(3), 442. DOI: https://doi.org/10.23919/EECSI48112.2019.8977031 SCImago Journal & Country Rank
Astuti, N. R. D. P., Setiawan, D. P., & Hakika, D. C. (2023). COMPARATIVE STUDY OF ELGAMAL AND LUC ALGORITHM IN CRYPTOGRAPHIC KEY GENERATION. ASEAN Engineering Journal, 13(4), 61-68. DOI: https://doi.org/10.11113/aej.v13.19184 SCImago Journal & Country Rank