Citedness in Scopus

JRI Article	Paper citation on	Quartile
Rianto, A., & Pratama, A. (2021). SENTIMENT ANALYSIS OF COVID-19 VACCINATION POSTS ON FACEBOOK IN INDONESIA WITH CROWDTANGLE. Jurnal Riset Informatika, 3(4), 353-362. https://doi.org/10.34288/jri.v3i4.282
	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
	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, 102008. DOI: https://doi.org/10.1016/j.techsoc.2022.102008
	Pratama AR, Firmansyah FM. 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
	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
	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
Zahra, D. F., Sinambela, Y., & Takwim, A. (2020). A STUDY OF STAKEHOLDER PERSPECTIVES OF ENTERPRISE ARCHITECTURE METHODOLOGY (TOGAF FRAMEWORK). Jurnal Riset Informatika, 2(4), 179-184. DOI: https://doi.org/10.34288/jri.v2i4.151	Chao, Y. U., Qing, L. I., Kui, L. I. U., Yuwen, C. H. E. N., & Hailong, W. E. I. (2021). Industrial Design and Development Software System Architecture Based on Model-Based Systems Engineering and Cloud Computing. Annual Reviews in Control, 51, 401-423. DOI: https://doi.org/10.1016/j.arcontrol.2021.04.011
Sinambela, Yunita, et al. "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 (2020): 49-54. DOI: https://doi.org/10.34288/jri.v2i2.116
	Dogan, O., Seymen, O. F., & Hiziroglu, A. (2021). Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey. International Journal of Information Technology & Decision Making, 1-21. DOI: https://doi.org/10.1142/S02196220215006071
	Yang, J. (2021). Digital Mining Algorithm of English Translation Course Information Based on Digital Twin Technology. Wireless Communications and Mobile Computing, 1-7. DOI: https://doi.org/10.1155/2021/9741948
	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
	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
Puspita, A., Fahmi, M., & Yuningsih, Y. (2019). Perancangan Dan Pembuatan Aplikasi E-Learning Menggunakan Model Waterfall Pada Sekolah Menengah Atas. Jurnal Riset Informatika, 1(4), 173-180. DOI: https://doi.org/10.34288/jri.v1i4.94	Hts, D. I. G., Syahputra, A., Ramadhani, R., Adhar, D., Gunawan, H., & Leman, D. (2021, September). E-Learning Design Using Iconix Process for Distance Learning. In 2021 9th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-4). IEEE. DOI: https://doi.org/10.1109/CITSM52892.2021.9588967	Non-Q
Kusumawardani, R., & Solichin, A. (2019). Implementasi Metode Simple Additive Weighting (SAW) pada Sistem Pendukung Keputusan untuk Menyeleksi Saham Prima. Jurnal Riset Informatika, 1(3), 113-118. DOI: https://doi.org/10.34288/jri.v1i3.33
	Jatmiko, D. D. H., Fatahillah, A., Oktavianingtyas, E., & Rochmah, O. A. (2020, June). An analysis of olympiad students’ critical thinking in solving National Science Olympiad (OSN) problem on number theory material. In Journal of Physics: Conference Series (Vol. 1563, No. 1, p. 012037). IOP Publishing. DOI: https://doi.org/10.1088/1742-6596/1563/1/012037
	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
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.v3i2.188	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/10.3390/electronics11030442
Prayogo, J. (2018). Sistem Pendukung Keputusan Karyawan Teladan PT. Bank Rakyat Indonesia dengan Metode Simple Additive Weighting. Jurnal Riset Informatika, 1(1), 35-42. DOI: https://doi.org/10.34288/jri.v1i1.10	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
Saputra, R., Hanifah, J., Agusty, M., Rezkyandar, M., Inda, S., & Abdiansah, A. (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.v3i4.274	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
Nastiti, P., & Widhiyanti, K. (2021). ANALYSIS OF DOMAIN MONITORING AND EVALUATION COBIT MATURITY LEVEL IN GAME DEVELOPMENT COMPANY. Jurnal Riset Informatika, 3(4), 363-370. https://doi.org/10.34288/jri.v3i4.270	Li, L. (2022). Evaluation of Digital Transformation Maturity of Small and Medium-Sized Entrepreneurial Enterprises Based on Multicriteria Framework. Mathematical Problems in Engineering, 2022(Special Issue), 1–11. https://doi.org/10.1155/2022/7085322
Aditya, D., & 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.v3i4.241
	Mohammed, G. S., & Al-Janabi, S. (2022). An innovative synthesis of optmization techniques (FDIRE-GSKA) for generation electrical renewable energy from natural resources. Results in Engineering, 100637. DOI: https://doi.org/10.1016/j.rineng.2022.100637
	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.2023.01.4028
Sutanto, N. H., Kusrini, K., & Nasiri, A. (2021). UNIVERSITY SERVICE WEBSITE QUALITY MEASUREMENT WITH WEBQUAL 4,0 (CASE STUDY: FACULTY OF BUSINESS AND ECONOMICS ISLAMIC UNIVERSITY OF INDONESIA). Jurnal Riset Informatika, 3(3), 225-232. DOI: https://doi.org/10.34288/jri.v3i3.231
	Hai, L., & Nguyen, Q. (2022). The influence of website quality on brand trust and satisfaction of students: A case study of universities in Vietnam. International Journal of Data and Network Science, 6(4), 1403-1412. DOI: http://dx.doi.org/10.5267/j.ijdns.2022.5.011
	Afif, M. (2023). Exploring the quality of the higher educational institution website using data mining techniques. Decision Science Letters, 12(2), 279-290. DOI: http://dx.doi.org/10.5267/j.dsl.2023.1.007
Elyana, I., Kholil, I., & Schaduw, F. (2019). RANCANG BANGUN SISTEM INFORMASI MANAJEMEN DISPOSISI SURAT MENYURAT DENGAN MENGGUNAKAN MODEL RAD (RAPID APPLICATION DEVELOPMENT). Jurnal Riset Informatika, 1(2), 107-112. https://doi.org/10.34288/jri.v1i2.37	R. Hardianto, R. Hidayat and D. M. Putra, "Control System and Letter Disposition Management Using the Chronological Filing System Method Mobile Web Based," 2021 International Conference on Computer Science and Engineering (IC2SE), 2021, pp. 1-7, doi: 10.1109/IC2SE52832.2021.9792105.	Non-Q
Oktaviani, A., TM Napitupul, G., 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. DOI: https://doi.org/10.34288/jri.v1i4.96	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
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. DOI: https://doi.org/10.34288/jri.v1i4.92	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
Natalia, I., Lisnawanty, L., & Ardiyansyah, A. (2020). ACCOUNTING INFORMATION SYSTEM FOR PURCHASING, SALES, AND SERVICE (CASE STUDY OF PT. GM MOTOR PONTIANAK). Jurnal Riset Informatika, 3(1), 57-66. https://doi.org/10.34288/jri.v3i1.190	Liu, J. (2022). Models in the Construction of Accounting Informatization Transformation Based on Digital Twin. Security and Communication Networks, 2022(Special Issue), 1–11. https://doi.org/10.1155/2022/3186768
Ulum, P., & Fitriati, D. (2021). IMPLEMENTATION OF GENETIC ALGORITHM IN THE CURRENT SCHEDULING SYSTEM. Jurnal Riset Informatika, 3(2), 119-126. https://doi.org/10.34288/jri.v3i2.167	He, Z., Tang, Y., & Abdullah, I. (2022). Application of Improved Genetic Algorithm in Logistics Path Optimization. In International Conference on Multi-modal Information Analytics (pp. 867-875). Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-05237-8_107
Mayatopani, H., Borman, R., Atmojo, W., & Arisantoso, A. (2021). CLASSIFICATION OF VEHICLE TYPES USING BACKPROPAGATION NEURAL NETWORKS WITH METRIC AND ECENTRICITY PARAMETERS. Jurnal Riset Informatika, 4(1), 65-70. https://doi.org/10.34288/jri.v4i1.293	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
Samuel, S., Sani, A., Budiyantara, A., Ivone, M., & Frieyadie, F. (2022). SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM. Jurnal Riset Informatika, 4(4), 331-340. https://doi.org/10.34288/jri.v4i4.422	Sani, A., Suryadi, D., Hasan, F. N., Wiranata, A. D., & Aisyah, S. (2023, February). Predicting the Success of Garment Sales on Transaction Data using the Classification Method with the Naïve Bayes Algorithm. In 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE) (pp. 234-239). IEEE. DOI: https://doi.org/10.1109/ICCoSITE57641.2023.10127693	Non-Q
Palupi, E. (2022). CLASSIFICATION OF THE POOR IN INDONESIA USING NAIVE BAYES ALGORITHM AND NAIVE BAYES ALGORITHM BASED ON PSO. Jurnal Riset Informatika, 4(3), 241-246. DOI: https://doi.org/10.34288/jri.v4i3.382	Sani, A., Suryadi, D., Hasan, F. N., Wiranata, A. D., & Aisyah, S. (2023, February). Predicting the Success of Garment Sales on Transaction Data using the Classification Method with the Naïve Bayes Algorithm. In 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE) (pp. 234-239). IEEE. DOI: https://doi.org/10.1109/ICCoSITE57641.2023.10127693	Non-Q
Kencana, B. B., Prayudha, M. F., & Arifitama, B. (2020). METAMORPHOSIS VISUALIZATION WITH AUGMENTED REALITY USING MARKER-BASED TRACKING. Jurnal Riset Informatika, 3(1), 1-6. DOI: https://doi.org/10.34288/jri.v3i1.168	Firdaus, M. B., Fadhiellah, D., Budiman, E., Tejawati, A., Lathifah, Khairul Anam, M., & Suandi, F. (2022, March). An Augmented Reality on the Introduction of Escherichia Coli Bacteria that Cause Diarrhea Using the Marker Based Tracker Method. In Proceedings of the 8th International Conference on Computational Science and Technology: ICCST 2021, Labuan, Malaysia, 28–29 August (pp. 891-905). Singapore: Springer Singapore. DOI: https://doi.org/10.1007/978-981-16-8515-6_68	Non-Q
Fitriati, D., & Amiga, B. (2020). IMPLEMENTATION OF DATA MINING TO DETERMINE THE ASSOCIATION BETWEEN BODY CATEGORY FACTORS BASED ON BODY MASS INDEX. Jurnal Riset Informatika, 2(4), 233-240. DOI: https://doi.org/10.34288/jri.v2i4.159	Zhao, L., Yang, J., Zha, H., Rosales, E. (2022). Application of Intelligent Recommendation Algorithm in Data Mining of Scientific Research Management System. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-05484-6_42	Non-Q
Agustin, F., & Setiawan, S. (2020). DECISION SUPPORT SYSTEM FOR EMPLOYEE EMPLOYMENT REMAINS USING PROFILE MATCHING METHOD IN PT. HYPER MEGA SHIPPING. Jurnal Riset Informatika, 2(2), 61-68. DOI: https://doi.org/10.34288/jri.v2i2.126	Zhang, L., & Wei, L. (2022, September). College Student Employment Recommendation Algorithm Based on Convolutional Neural Network. In 2022 International Conference on Education, Network and Information Technology (ICENIT) (pp. 71-74). IEEE. DOI: https://doi.org/10.1109/ICENIT57306.2022.00022	Non-Q
Alfianti, Z., Gunawan, D., & Amin, A. (2020). SENTIMENT ANALYSIS OF COSMETIC REVIEW USING NAIVE BAYES AND SUPPORT VECTOR MACHINE METHOD BASED ON PARTICLE SWARM OPTIMIZATION. Jurnal Riset Informatika, 2(3), 169-178. DOI: https://doi.org/10.34288/jri.v2i3.149	Li, L., & Yang, L. A classification and extraction method of attribute hybrid big data based on Naive Bayes algorithm. Journal of Computational Methods in Sciences and Engineering, (Preprint), 1-16. DOI: https://doi.org/10.3233/JCM-226802
Ambarwati, T., & Masya, F. (2020). APPLICATION PERFORMANCE ASSESSMENT WORK USING SIMPLE ADDITIVE WEIGHTING (SAW) METHOD. Jurnal Riset Informatika, 2(3), 151-158. DOI: https://doi.org/10.34288/jri.v2i3.146	Ariawan, I. P. W., Sugandini, W., Ardana, I. M., & Divayana, D. G. H. (2022, October). Simulation of the Weighted Product Method in the Tri Pramana-Based Formative-Summative Evaluation Application. In 2022 8th International Conference on Education and Technology (ICET) (pp. 8-13). IEEE. DOI: https://doi.org/10.1109/ICET56879.2022.9990611	Non-Q
Seputro, S., & Masya, F. (2020). ASSESSMENT OF STUDENT’S INTERESTS AND TALENTS USING THE WEB-BASED CERTAINTY FACTOR METHOD. Jurnal Riset Informatika, 2(3), 131-136. DOI: https://doi.org/10.34288/jri.v2i3.139	Idrus, S. I. A., & Asiah, A. (2022, November). Software identifies a child’s talent interests with certainty factor methods. In AIP Conference Proceedings (Vol. 2659, No. 1). AIP Publishing. DOI: https://doi.org/10.1063/5.0117431	Non-Q