Novi Yanti

@uin-suska.ac.id

Sains and Technology
Universitas Islam Negeri Sultan Syarif Kasim Riau

Novi Yanti


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https://researchid.co/novi_yanti

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Engineering, Computer Science Applications, Artificial Intelligence
12

Scopus Publications

183

Scholar Citations

8

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Academic Performance Measurement Model: Knowledge Management Perception Using Fuzzy-AHP
    Novі Yantі, Sarjon Defit, Okfalisa Okfalisa
    International Journal of Fuzzy Logic and Intelligent Systems, 2025
    Assessment of academic performance in higher education begins with the establishment of knowledge management (KM) to produce explicit outcomes.The KM model is essential for the effective, objective, efficient, and integrated management of knowledge in higher education, encouraging continuous improvement in academic quality.This study proposed a model to measure KM success in assessing academic performance by considering the main principles of academic roles as constructs, including education and teaching, research and publication, community service, supporting elements, and work behavior.The constructs explored the KM process within knowledge creation, acquisition, storage, sharing, and application activities.Sixty-five subvariables were defined for the constructs.To obtain the preference values of each construct's variable and subvariable, a survey was conducted using a questionnaire distributed to academic experts from several Islamic public universities in Indonesia by applying the fuzzy analytical hierarchy process (fuzzy-AHP) method.The results of the analysis using fuzzy-AHP show that the highest priority weight value is found in the work behavior variable with subvariable KP WB1 (0.8365), followed by element supporting in subvariable KA ES1 (0.5923), education and teaching in subvariable KS ET1 (0.4798), community services in the subvariable KA CS1 (0.4522), and research and publications in the subvariable KP RP1 (0.4061).This difference shows the priority between the subvariables, which is the basis for decision-making according to the level of importance.With proper KM measurement, universities can improve their overall performance, drive innovation, and achieve an academic vision and mission more effectively and sustainably to support universities toward excellence.
  • Knowledge Management Trends for Measuring Academic Performance: A New Conceptual Framework
    Novi Yanti, Sarjon Defit, Okfalisa
    Proceedings of the International Conference on Electrical Engineering and Informatics, 2024
    Research in the area of knowledge management for improving academic performance has been on the rise in recent years. The effectiveness of knowledge management in improving the quality of decision-making in higher education is a new challenge in the drive for university performance improvement. Therefore, this paper tries to propose one conceptual framework used to measure academic performance in universities. By applying knowledge management process integrated with Business Intelligence System with data-driven analysis concept. This can provide new insights into the theme of academic knowledge management processes for future research opportunities. The model developed is based on comprehensive research developments on research trends and mapping of knowledge management articles and academic performance as well as a systematic literature review. This literature review examines the current state, clusters, and main topics of research related to knowledge management based on authors, sources, cited articles, countries of article authors, and journals that are productive in producing articles. Herein, 429 articles are utilized as metadata taken from the Scopus database published in 2018-2024. Hence, the data analysis of scientific articles is then reviewed using a bibliometric approach and article mapping with using tool VOSviewers to get a network visualization image. The findings of bibliometric analysis point to a rise in publications and a strong level of interest among academics in the field of knowledge management for performance evaluation in higher education institutions.
  • Clustering the Academician Knowledge Qualification: K-Means for Performance Measurement Analysis
    Novi Yanti, Sarjon Defit, Okfalisa
    2024 IEEE 22nd Student Conference on Research and Development Scored 2024, 2024
    The assessment of an academic’s performance is not solely based on the tangible results achieved. Nonetheless, the formation aspect of the Knowledge Management (KM) process, which arises in the pursuit of outcomes, must be acknowledged. This emphasizes the significance of KM process development for academics in achieving their essential responsibilities including teaching and learning, research and publishing, and community service. Consequently, it is essential to develop a KM model for assessing the accomplishments of academics in higher education. An evaluation of academic performance in higher education was conducted to identify the success factors of knowledge management, by considering five key elements viz, knowledge creation, knowledge acquisition, knowledge storage, knowledge sharing, and knowledge application. Accordingly, sixty-five sub-variables were identified as success model factors for evaluating academic knowledge management performance. A K-Means clustering method was utilized to assess the KM qualifications of academics at an Islamic public institution in Indonesia (University X) as the primary study. Herein, a 5-point Likert scale questionnaire was administered to 500 academics and subsequently categorized into three performance levels such as low, medium, and high performance. As a result, 140 academicians were categorized as low KM performance, 139 were clustered as medium qualification, and 221 academicians were positioned in high performance. Furthermore, a recommendation analysis is presented to elucidate the accomplishments of academic credentials for each cluster and propose corrective actions for enhancement. Therefore, the scholars at University X might enhance their knowledge management practices to get a superior quality university.
  • THE ROLE OF TRAINING, DISCIPLINE AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE: A PLS-SEM APPROACH
    International Journal of Ebusiness and Egovernment Studies, 2022
  • Optimizing placement of field experience program: An integration of moora and rule-based decision making
    Okfalisa Okfalisa, Rizka Hafsari, Gusman Nawanir, Saktioto Toto, Novi Yanti
    Pertanika Journal of Science and Technology, 2021
    The lack of optimality in the Field Experience Program (FEP) placement has affected universities’ educational services to the stakeholders. Bringing together the stakeholders’ needs, university capacities, and participants’ willingness to quality and quantity is not easy. This study tries to optimize the placement of FEP by considering the interests of multiple perspectives through the application of Multi-Objective Optimization on the Basic of Ratio Analysis (MOORA) and Rule-Based methods in the form of a decision-making model. MOORA ranked the students based on the FEP committee’s perspective and other criteria, such as micro-teaching grades, final GPAs, study programs, number of credits, and student addresses. Meanwhile, the school perspective was ordered based on its accreditations, levels, types, facilities, and performances. To achieve the optimal recommendation of FEP placement, the integration of MOORA and Rule-based intertwined the requirement of such perspectives. A prototype of the system recommendation is then acquired to simplify the decision-making model. As adjudications, a survey from twenty stakeholders evidenced around 86.92% of system user acceptances. The confusion matrix testing defines the accuracy of this method reaches 78.33%. This paper reveals that the recommendation model has been successfully increasing the effectiveness of decision making in FEP placement under the needs and expectations of the entire stakeholders.
  • Bioinformatic analysis in designing mega-primer in overlap extension PCR cloning (OEPC) technique
    - Mardalisa, Sony Suhandono, Novi Yanti, Fazrol Rozi, Fitri Nova, - Primawati
    International Journal on Informatics Visualization, 2021
    Bioinformatics has developed into an application tool for basic and applied research in the biomedical and biotechnology field. Polymerase Chain Reaction (PCR) is a common technique in the molecular area that has always involved bioinformatics science. PCR cloning techniques such as TA cloning and PCR-mediated cloning exhibit complex processes with low success rates. One easy, effective, and practical solution is to use a mega-primer with the Overlap Extension PCR Cloning (OEPC) technique. The success of PCR cloning using the mega-primer design in the OEPC technique is strongly influenced by the characteristics of the mega-primer used. Knowledge of mega-primer characteristics is one of the important factors in the success of PCR cloning. The design process for the mega-primer str promoter was characterized based on the principle of a genetic algorithm using the web-based bioinformatics tools such as ClustalW, NetPrimer, and BLAST. The success of the mega-primer construction in producing recombinant pSB1C3 vector has been confirmed by the sequencing method and the function of the reporting protein (AmilCP). DNA analysis shows a 100 % homologous sequence on the str promoter, while E. coli colonies successfully express the purplish-blue color. Mega-primer characters can save costs and time of the research by maintaining the primer parameters that provide optimal values and increase the success value of PCR cloning via bioinformatics software. Hence, implications on biological problems, especially using DNA and amino acid sequences, could solve rapidly.
  • Application of Novel Ergonomic Postural Assessment Method in Indonesia Creative Industry Centers
    Merry Siska, Reski Mai Candra, Eki Saputra, Masud Zein, Alex Wenda, Novi Yanti
    2019 International Conference on Engineering Science and Industrial Applications Icesi 2019, 2019
    An operator's productivity should be affected by the conditions of the work station where the operators are carrying out their activities. The conditions of the work station or good work environment for an operator are effective, comfortable, safe, healthy and efficient. This paper analyze the Novel Ergonomic Postural Assessment Method application in the Indonesia creative industry centers in Bandung. Bad operator work postures carried out every day cause a high risk of musculoskeletal disorders for the operators in the creative industry centers in Indonesia. Thus, the research problems can be formulated as: How is the application of the Novel Ergonomic Postural Assessment Method (NERPA) in the center of creative industries in Indonesia. Based on the constraints of the problem, each new design in four creative centers in Bandung was conducted. In the doll making, the first posture is designing doll pattern station which is a priority for improvement by designing a table to reduce the level of musculoskeletal risk for its workers. The fourth body posture in shoe-making is a priority to be improved by making a design tool to cut the footwear to reduce the level of musculoskeletal risk. Knitted clothing center having level of musculoskeletal risk are priority improvements, namely in the first posture because the operator works in long standing state. Tofu making center also has high level of musculoskeletal risk, namely in the molding tofu station in posture 5.
  • Implementation of Advanced Encryption Standard (AES) and QR Code Algorithm on Digital Legalization System
    Okfalisa, Novi Yanti, Wahyu Aidil Dita Surya, Amany Akhyar, A Ambarwati Frica
    E3s Web of Conferences, 2018
    A certificate is an important document that its validity must be ascertained. Fraud over the originality of this document demands a high level of security to ensure that this document is genuine. The Digital Certificate Legalization system (DCL) can regulate and guarantee the mechanism of document validity procedure. By implementing AES and QR Code algorithm, the information contained in the photo-scan of the certificate can be authenticated. The results of the scan are encrypted by using the legalized code in AES Algorithm. The code will be translated using the QR Code and matched to the data contained in the server system. The system will confirm whether the certificate is original or not. In order to test the system, black box testing is applied for functionality check; capacity testing in terms of execution time and memory load of benchmark testing are also examined for system performance measurement. Finally, user response testing is conducted to identify the user acceptance towards the system. As the result, the implementation of AES and QR Code algorithm provides good performance, efficient, light, and fast execution responses (less than one second and less than one megabyte) in a legalized certification checking system.
  • Tropical diseases web-based expert system using certainty factor
    Novi Yanti, Rahmad Kurniawan, Siti Norul Huda Sheikh Abdullah, Mohd Zakree Ahmad Nazri, Wilda Hunafa, Mardhiyah Kharismayanda
    Proceedings 2018 2nd International Conference on Electrical Engineering and Informatics Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis Icon Eei 2018, 2018
    Indonesia is in the area of equatorial latitude which is known as a tropical climate country. On the other hand, many Indonesian people are prone to suffering typical tropical disease such as typhoid, dengue and malaria. With the motivation to curb disease, they should be informed about awareness, treatment and knowledge regarding to tropical diseases such as the symptoms, causes and early prevention. Web-based expert system is one well-known solution, which can access online via internet. Usually, traditional inference engine is possible to make misdiagnosis in medical domain. In addition, modern inference e.g. Bayes theory are complicated plus insufficient to substitute complete human brain reasoning activities. Therefore, this study aims to hybridize Forward Chaining and Certainty Factor method for diagnosing common tropical diseases suffered by Indonesian people. We have used ten types of tropical disease namely typhoid, dengue, chingkungunya fever, malaria, chicken pox, tuberculosis, diphtheria, pertussis, SARS and elephantiasis along with 38 symptoms for representing every disease into a knowledge base. We compare the results between expert’s diagnosis and our proposed web-based expert system after running ten times consecutively. We can conclude that hybridization of Forward Chaining and Certainty Factor methods during developing the web-based expert system, can significantly diagnose tropical diseases properly.
  • Dominant Criteria and Its Factor Affecting Student Achievement Based on Rough-Regression Model
    Riswan Efendi, Novi Yanti, Alex Wenda, Susnaningsih Mu'at, Noor Azah Samsudin, Mustafa Mat Deris
    2018 2nd International Conference on Informatics and Computational Sciences Icicos 2018, 2018
    the ordinary least square model has been widely considered to estimate the significant factors which influence the student achievement. Some factor is qualitative type and measured using criteria or categories. However, the decisive criteria for each factor which affect to the cumulative grade point average of student cannot be determined by this model. In this paper, we are interested to build a new procedure using rough-regression model in determining the dominant criteria from each factor based on generalization of dependency attribute. Based on result, the proposed procedure is capable to investigate the dominant criteria and factors affecting student achievement, such as, language spoken with dominant criteria is “many-many”, FB friend with dominant criteria is “many” and fast food with dominant criteria is “never”. This proposed procedure is very appropriate to implement for handling categorical data.
  • Expert systems for self-diagnosing of eye diseases using Naïve Bayes
    Rahmad Kurniawan, Novi Yanti, Mohd Zakree Ahmad Nazri, Zulvandri
    Proceedings 2014 International Conference on Advanced Informatics Concept Theory and Application Icaicta 2014, 2015
  • Supply chain configuration using hybrid SCOR model and discrete event simulation
    Lecture Notes in Engineering and Computer Science, 2014

RECENT SCHOLAR PUBLICATIONS

  • A Robust Multi-Criteria Decision Support Framework Using WASPAS For Transparent and Efficient Cooperative Ranking
    P Nelza Mahendra Faddlin, O Okfalisa, N Yanti, RM Candra, T Darmizal
    Engineering and TechnologyJournal 11 (Vol. 11 No. 05 (2026):VOLUME 11 ISSUE … , 2026
    2026
  • Implementasi Algoritma Random Forest pada Web-App Sebagai Instrumen Deteksi Dini Penyakit Diabetes
    H Fauzan, E Haerani, F Kurnia, N Yanti
    Jurnal CoSciTech (Computer Science and Information Technology) 7 (1), 75-83 , 2026
    2026
  • Comparative Analysis: Accuracy of Certainty Factor and Dempster Shafer Methods in Expert Systems for Tropical Disease Diagnosis
    N Yanti, F Insani, O Okfalisa, R Hartika Zain, A Setiawan
    Scientific Journal of Informatics (SJI) 3 (August 2025, Vol. 12 No. 3), 515-524 , 2025
    2025
    Citations: 1
  • Academic Performance Measurement Model: Knowledge Management Perception Using Fuzzy-AHP
    N Yanti, S Defit
    International Journal of Fuzzy Logic and Intelligent Systems 25 (2), 193-206 , 2025
    2025
  • Clustering the academician knowledge qualification: k-means for performance measurement analysis
    N Yanti, S Defit
    2024 IEEE 22nd Student Conference on Research and Development (SCOReD), 152-158 , 2024
    2024
    Citations: 1
  • Knowledge Management Trends for Measuring Academic Performance: A New Conceptual Framework
    N Yanti, S Defit
    2024 4th International Conference on Electrical Engineering and Informatics … , 2024
    2024
    Citations: 2
  • Implementasi Metode Learning Vector Quantization (LVQ) Untuk Sentimen Analisis Terhadap Aplikasi Go-Jek Pada Playstore
    AP Budiman, E Budianita, N Yanti, RM Candra
    Jurnal Nasional Komputasi dan Teknologi Informasi 7, 4 , 2024
    2024
    Citations: 3
  • Sistem Pakar Diagnosa Gangguan Stress Pasca Trauma Menggunakan Metode Certainty Factor
    M Safitri
    Sistem Pakar Diagnosa Gangguan Stress Pasca Trauma Menggunakan Metode … , 2023
    2023
    Citations: 9
  • Analisa Dini Gangguan Disleksia Anak Sekolah dengan Metode Backpropagation
    N Yanti, A Setiawan, S Defit
    JEPIN (Jurnal Edukasi dan Penelitian Informatika) 9 (2), 168-175 , 2023
    2023
    Citations: 2
  • SISTEM PENDUKUNG KEPUTUSAN PRIORITAS PERBAIKAN JALAN PROVINSI RIAU MENGGUNAKAN METODE MULTIFACTOR EVALUATION PROCESS (MFEP)
    A Saputra
    Sistem Pendukung Keputusan Prioritas Perbaikan Jalan Provinsi Riau … , 2022
    2022
    Citations: 2
  • Sistem Pakar untuk Mendiagnosis Gangguan Tidur Menggunakan Metode Dempster Shafer
    A Ivo Dwi Ananda, K Rahmad Kurniawan, Y Novi Yanti, I Fitri Insani
    Jurnal Informatika Merdeka Pasuruan 6 (3), 1-8 , 2021
    2021
    Citations: 6
  • Bioinformatic analysis in designing mega-primer in overlap extension PCR cloning (OEPC) technique
    S Suhandono, N Yanti, F Rozi, F Nova
    JOIV: International Journal on Informatics Visualization 5 (2), 139-143 , 2021
    2021
    Citations: 5
  • Optimizing Placement of Field Experience Program: An Integration of MOORA and Rule-Based Decision Making.
    O Okfalisa, R Hafsari, G Nawanir, S Toto, N Yanti
    Pertanika Journal of Science & Technology 29 (2) , 2021
    2021
    Citations: 4
  • Penerapan struktur backprepogation pada jaringan syaraf tiruan untuk mendeteksi gangguan penyakit tropis (Peer Review)
    N Yanti, NS Harahap, Y Vitriani
    Universitas Islam Negeri Sultan Syarif Kasim Riau , 2020
    2020
  • Aplikasi Prediksi Respon Displacement dan Story Drift Bangunan terhadap Spektrum Gempa dengan Metode Backpropagation (Hasil Check Similarity)
    Y Fitriani, F Insani, N Yanti, FA Ambarwati
    Universitas Islam Negeri Sultan Syarif Kasim Riau , 2020
    2020
  • Implementation of AES and QR Code Algorithm on Digital Legalization System (Peer Review)
    N Yanti, WAD Surya, A Akhyar, FA Ambarwati
    Universitas Islam Negeri Sultan Syarif Kasim Riau , 2020
    2020
  • Analisa Perbandingan Metode Dempster-Shafer (DS) Dan Certainty Factor (CF) Dalam Mendiagnosa Hama Dan Penyakit Kacang Tanah
    Y Vitriani, MF Ihsan, N Yanti, FA Ambarwati
    Universitas Islam Negeri Sultan Syarif Kasim Riau , 2020
    2020
  • Pengukuran Risiko Sistem Informasi Perpustakaan Menggunakan Framework National Institute of Standard and Technology SP 800-30
    IK Megawati, I Maita, N Yanti
    2020
    Citations: 1
  • Perancangan dan Implementasi Sistem Audit Mutu Internal (Studi: UIN Sultan Syarif Kasim Riau)
    M Affandes, AY Albi, M Irsyad, P Pizaini, N Yanti
    Seminar Nasional Teknologi Informasi Komunikasi dan Industri, 246 , 2020
    2020
  • Klasifikasi Retardasi Mental Anak Menggunakan Backpropagation Momentum
    N Yanti, Y Fariati, E Budianita, S Sanjaya, M Megawati
    Seminar Nasional Teknologi Informasi Komunikasi dan Industri, 72 , 2020
    2020
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Expert Systems for Self-Diagnosing of Eye Diseases Using Naive Bayes
    R Kurniawan, N Yanti, MAN Zakree, Zulvandri
    Expert Systems for Self-Diagnosing of Eye Diseases Using Naive Bayes … , 2014
    2014
    Citations: 35
  • Penerapan metode neural network dengan struktur backpropagation untuk prediksi stok obat di apotek (studi kasus: Apotek abc)
    N Yanti
    Seminar Nasional Aplikasi Teknologi Informasi (SNATI) , 2011
    2011
    Citations: 34
  • Implementation of Advanced Encryption Standard (AES) and QR code algorithm on digital legalization system
    Okfalisa, N Yanti, WAD Surya, A Akhyar, AA Frica
    E3S Web of Conferences 73, 13009 , 2018
    2018
    Citations: 15
  • Tropical Diseases Web-based Expert System Using Certainty Factor
    N Yanti, R Kurniawan, SNHS Abdullah, MZA Nazri, W Hunafa, ...
    2018 2nd International Conference on Electrical Engineering and Informatics … , 2018
    2018
    Citations: 12
  • Supply chain configuration using hybrid SCOR model and discrete event simulation
    F Lestari, K Ismail, AA Hamid, E Supriyanto, N Yanti, W Sutupo
    Proceedings of the World Congress on Engineering 2, 967-972 , 2014
    2014
    Citations: 10
  • Sistem Pakar Diagnosa Gangguan Stress Pasca Trauma Menggunakan Metode Certainty Factor
    M Safitri
    Sistem Pakar Diagnosa Gangguan Stress Pasca Trauma Menggunakan Metode … , 2023
    2023
    Citations: 9
  • Prediksi Radiasi Matahari Dengan Penerapan Metode Elman Recurrent Neural Network
    EP Cynthia, N Yanti, Y Fitriani, Y Yusra
    Seminar Nasional Teknologi Informasi Komunikasi dan Industri, 22-29 , 2019
    2019
    Citations: 8
  • Application of Novel Ergonomic Postural Assessment Method in Indonesia Creative Industry Centers
    M Siska, RM Candra, E Saputra, M Zein, A Wenda, N Yanti
    2019 International Conference on Engineering, Science, and Industrial … , 2019
    2019
    Citations: 8
  • Penerapan metode elman recurrent neural network (ERNN) untuk peramalan penjualan
    EP Cynthia, N Yanti, Y Yusra, Y Fitriani, M Yusuf
    Journal of Education Informatic Technology and Science 1 (2), 49-61 , 2019
    2019
    Citations: 8
  • Dominant Criteria and Its Factor Affecting Student Achievement Based on Rough-Regression Model
    R Efendi, N Yanti, A Wenda, S Mu'at, NA Samsudin, MM Deris
    2018 2nd International Conference on Informatics and Computational Sciences … , 2018
    2018
    Citations: 8
  • Sistem Pakar untuk Mendiagnosis Gangguan Tidur Menggunakan Metode Dempster Shafer
    A Ivo Dwi Ananda, K Rahmad Kurniawan, Y Novi Yanti, I Fitri Insani
    Jurnal Informatika Merdeka Pasuruan 6 (3), 1-8 , 2021
    2021
    Citations: 6
  • Bioinformatic analysis in designing mega-primer in overlap extension PCR cloning (OEPC) technique
    S Suhandono, N Yanti, F Rozi, F Nova
    JOIV: International Journal on Informatics Visualization 5 (2), 139-143 , 2021
    2021
    Citations: 5
  • Optimizing Placement of Field Experience Program: An Integration of MOORA and Rule-Based Decision Making.
    O Okfalisa, R Hafsari, G Nawanir, S Toto, N Yanti
    Pertanika Journal of Science & Technology 29 (2) , 2021
    2021
    Citations: 4
  • Rancang Bangun Aplikasi Pembelajaran Bahasa Inggris Pada Platform Android
    NH Safaat, N Yanti
    Seminar Nasional Teknologi Informasi Komunikasi dan Industri , 2015
    2015
    Citations: 4
  • Implementasi Metode Learning Vector Quantization (LVQ) Untuk Sentimen Analisis Terhadap Aplikasi Go-Jek Pada Playstore
    AP Budiman, E Budianita, N Yanti, RM Candra
    Jurnal Nasional Komputasi dan Teknologi Informasi 7, 4 , 2024
    2024
    Citations: 3
  • Knowledge Management Trends for Measuring Academic Performance: A New Conceptual Framework
    N Yanti, S Defit
    2024 4th International Conference on Electrical Engineering and Informatics … , 2024
    2024
    Citations: 2
  • Analisa Dini Gangguan Disleksia Anak Sekolah dengan Metode Backpropagation
    N Yanti, A Setiawan, S Defit
    JEPIN (Jurnal Edukasi dan Penelitian Informatika) 9 (2), 168-175 , 2023
    2023
    Citations: 2
  • SISTEM PENDUKUNG KEPUTUSAN PRIORITAS PERBAIKAN JALAN PROVINSI RIAU MENGGUNAKAN METODE MULTIFACTOR EVALUATION PROCESS (MFEP)
    A Saputra
    Sistem Pendukung Keputusan Prioritas Perbaikan Jalan Provinsi Riau … , 2022
    2022
    Citations: 2
  • Klasifikasi Retardasi Mental Anak Menggunakan Backpropagation Momentum
    N Yanti, Y Fariati, E Budianita, S Sanjaya, M Megawati
    Seminar Nasional Teknologi Informasi Komunikasi dan Industri, 72 , 2020
    2020
    Citations: 2
  • Comparative Analysis: Accuracy of Certainty Factor and Dempster Shafer Methods in Expert Systems for Tropical Disease Diagnosis
    N Yanti, F Insani, O Okfalisa, R Hartika Zain, A Setiawan
    Scientific Journal of Informatics (SJI) 3 (August 2025, Vol. 12 No. 3), 515-524 , 2025
    2025
    Citations: 1