Cited in Journal / Conference Indexed by SCOPUS

Citation detail:

YEAR

Number of Citation

2022

1

2021

17

2020

18

2019

34

2018

4

Total

74

Last update: 27 December 2022 IJIIS : International Journal of Informatics and Information System is cited articles on SCOPUS database since published in March 2018

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Volume 5 Number 2


1>> J. P. B. Saputra and R. P. Bernarte, “The Naive Bayes Algorithm in Predicting the Spread of the Omicron Variant of Covid-19 in Indonesia: Implementation and Analysis,” IJIIS Int. J. Informatics Inf. Syst., vol. 4, no. 2, pp. 123–129, 2021.

Cited By (Scopus Documents) :

[1] T. Hariguna, Sarmini, and A. R. Hananto, “E-government Public Complaints Text Classification Using Particle Swarm Optimization in Naive Bayes Algorithm,” in 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2022, pp. 303–307. doi: 10.1109/CyberneticsCom55287.2022.9865585.


Volume 4 Number 2


1>> A. Widiyanto, N. A. Prabowo, M. Ircham, N. Amarullah, and A. Soni, “The Effect of E-Learning as One of the Information Technology-Based Learning Media on Student Learning Motivation,” IJIIS Int. J. Informatics Inf. Syst., vol. 5, no. 2, pp. 84-91, 2022.

Cited By (Scopus Documents) :

[1] Y. Li, Y. Zhang, and F. Zhang, “Materialism Predicts College Students’ Entrepreneurial Intention: A Serial Mediation Model,” Front. Psychol., vol. 13, 2022, doi: 10.3389/fpsyg.2022.864069.

[2] F. Nikraftar, F. Heshmati Nabavi, M. Dastani, S. R. Mazlom, and S. Mirhosseini, “Acceptability, feasibility, and effectiveness of smartphone-based delivery of written educational materials in Iranian patients with coronary artery disease: A randomized control trial study,” Heal. Sci. Reports, vol. 5, no. 5, p. e801, Sep. 2022, doi: https://doi.org/10.1002/hsr2.801.


Volume 4 Number 1


1>> I. Umami, D. H. Gautama, and H. R. Hatta “Implementing the Expected Goal (xG) model to predict scores in soccer matches,” IJIIS Int. J. Informatics Inf. Syst., vol. 4, no. 1, pp. 38–54, 2021.

Cited By (Scopus Documents) :

[1] J. Link, L. Schwinn, F. Pulsmeyer, T. Kautz, and B. M. Eskofier, “xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning,” Sensors, vol. 22, no. 21. 2022. doi: 10.3390/s22218474.

[2] S. Sarkar and S. Kamath, “Does luck play a role in the determination of the rank positions in football leagues? A study of Europe’s ‘big five,’” Ann. Oper. Res., 2021, doi: 10.1007/s10479-021-04369-6.

2>> Henderi and T. Wahyuningsih, “Comparison of Min-Max normalization and Z-Score Normalization in the K-nearest neighbor (kNN) Algorithm to Test the Accuracy of Types of Breast Cancer,” IJIIS Int. J. Informatics Inf. Syst., vol. 4, no. 1, pp. 13–20, 2021, doi: 10.47738/ijiis.v4i1.73.

Cited By (Scopus Documents) :

[1] M. Mawarni, F. Utaminingrum, and W. F. Mahmudy, “The Effect of Feature Selection on Gray Level Co-Occurrence Matrix (GLCM) for the Four Breast Cancer Classifications,” J. Biomimetics, Biomater. Biomed. Eng., vol. 55, pp. 168–179, 2022, doi: 10.4028/p-09g3n8.

[2] R. Widayanti, S. Madenda, E. P. Wibowo, and K. Anwar, “SOM-SIS approach to auto summary of clustering results on university academic performance,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 21, no. 1, pp. 104–112, 2023, doi: 10.12928/TELKOMNIKA.v21i1.24238.

[3] W. Xu et al., “A forced cough sound based pulmonary function assessment method by using machine learning,” Front. Public Heal., vol. 10, 2022, doi: 10.3389/fpubh.2022.1015876.

[4] C. Carissimo, G. Cerro, L. Ferrigno, G. Golluccio, and A. Marino, “Development and Assessment of a Movement Disorder Simulator Based on Inertial Data,” Sensors, vol. 22, no. 17, 2022, doi: 10.3390/s22176341.

[5] H. E. Yadong, Y. A. N. G. Zhe, W. A. N. G. Dong, G. O. U. Chengdong, L. I. Chuankun, and G. U. O. Yian, “A fault diagnosis method for complex chemical process based on multi-model fusion,” Chem. Eng. Res. Des., vol. 184, pp. 662–677, 2022, doi: 10.1016/j.cherd.2022.06.029.

[6] X. Yan et al., “Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing,” Cities, vol. 127, 2022, doi: 10.1016/j.cities.2022.103754.

[7] U. Saeed, S. R. Ahmad, G. Mohey-ud-din, H. J. Butt, and U. Ashraf, “An Integrated Approach for Developing an Urban Livability Composite Index—A Cities’ Ranking Road Map to Achieve Urban Sustainability,” Sustain., vol. 14, no. 14, 2022, doi: 10.3390/su14148755.

[8] Y. J. Ju, J. R. Lim, and E. S. Jeon, “Prediction of AI-Based Personal Thermal Comfort in a Car Using Machine-Learning Algorithm,” Electron., vol. 11, no. 3, 2022, doi: 10.3390/electronics11030340.

[9] A. Agaal and M. Essgaer, “Influence of Feature Selection Methods on Breast Cancer Early Prediction Phase using Classification and Regression Tree,” 2022. doi: 10.1109/ICEMIS56295.2022.9914078.

[10] R. Cheng, X. Kong, M. Yu, and N. Wang, “A classification algorithm: Data mining and mathematical model,” in Journal of Physics: Conference Series, 2021, vol. 2068, no. 1. doi: 10.1088/1742-6596/2068/1/012012.

[11] M. Tang, J. Yi, H. Wu, and Z. Wang, “Fault detection of wind turbine electric pitch system based on igwo‐erf,” Sensors, vol. 21, no. 18, 2021, doi: 10.3390/s21186215.

[12] N. A. Bhat and S. U. Farooq, “Local modeling approach for cross-project defect prediction,” Intell. Decis. Technol., vol. 15, no. 4, pp. 623–637, 2021, doi: 10.3233/IDT-210130.

[13] L. C. P. Velasco, K. A. S. Arnejo, and J. S. S. Macarat, “Performance analysis of artificial neural network models for hour-ahead electric load forecasting,” in Procedia Computer Science, 2021, vol. 197, pp. 16–24. doi: 10.1016/j.procs.2021.12.113.


Volume 3 Number 3


1>> C. Herrando, “Boosting Purchase Intention and Online Participation Through Passion,IJIIS Int. J. Informatics Inf. Syst., vol. 3, no. 3, pp. 136–145, 2020, doi: 10.47738/ijiis.v3i3.99.

Cited By (Scopus Documents) :

[1] T. Hariguna and A. Ruangkanjanases, “Public Behavior as an Output of E-Government Service : The Role of New Technology Integrated in E-Government and Antecedent of Relationship Quality,” Sustain., vol. 13, no. 7464, p. 2021, 2021, doi: https://doi.org/10.3390/su13137464.


Volume 3 Number 2


1>> A. Aziz, R. Zaki, and S. E. Ullah, “The Impact of Dynamic Capabilities and Information System on Organizational Effectiveness in Cellular Communication Companies in Jordon: Mediating Role of Organizational Ambidexterity,IJIIS Int. J. Informatics Inf. Syst., vol. 3, no. 2, pp. 81–93, 2020, doi: 10.47738/ijiis.v3i2.68.

Cited By (Scopus Documents) :

[1] T. Hariguna and A. Ruangkanjanases, “Public Behavior as an Output of E-Government Service : The Role of New Technology Integrated in E-Government and Antecedent of Relationship Quality,” Sustain., vol. 13, no. 7464, p. 2021, 2021, doi: https://doi.org/10.3390/su13137464.

2>> A. Sibghatullah and M. Raza, “The Impact of Strategic Leadership on Competitive Advantage: The Mediating Role of Ambidexterity and Information System: Evidence from Islamic Banks in Jordan,” IJIIS Int. J. Informatics Inf. Syst., vol. 3, no. 2, pp. 67–80, 2020, doi: 10.47738/ijiis.v3i2.67.

Cited By (Scopus Documents) :

[1] N. F. Tawfig and S. Kamarudin, “Role of Strategic Human Resource Management Practices on the Achieving of Sustainable Competitive Advantages: The Mediation Role of Strategic Leadership and Organizational Culture,” Rev. Int. Geogr. Educ. Online, vol. 11, no. 5, pp. 583–604, 2021, doi: 10.48047/rigeo.11.05.58.

[2] A. Syahputra, Safrizal, K. Puspita, R. Maulida, J. Elnovreny, and W. Fahrozi, “Analytic Hierarchy Process (AHP) Modelling for ATM Machine Placement,” 2020. doi: 10.1109/CITSM50537.2020.9268873.


Volume 3 Number 1


1>> M. Imron, U. Hasanah, and B. Humaidi, “Analysis of Data Mining Using K-Means Clustering Algorithm for Product Grouping,” Int. J. Informatics Inf. Syst., vol. 3, no. 1, pp. 12–22, 2020.

Cited By (Scopus Documents) :

[1] S. Edy Victor Haryanto, “Optimizing the confidentiality of lecturer database using elgamal algorithm,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4671–4677, 2020.

[2] I. Handayani, D. Supriyanti, G. Maulani, and N. Lutfiani, “The ilearning journal center: Education startup to enhance lecturer research,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4678–4682, 2020.

[3] T. Hariguna, “Implementation of Search Engine Optimization (SEO) in e-Commerce Website Using on Page SEO and off Page SEO,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 5481–5484, 2020.

[4] Henderi, Q. Aini, A. D. Srenggini, and A. Khoirunisa, “Rule based expert system for supporting assessment of learning outcomes,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 266–271, 2020.

[5] Sarmini, A. Prasetyo, and S. P. Adipurwoko, “Preventive efforts and risk management in information technology using cobit 5,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4740–4745, 2020.

[6] P. Sokibi, M. Asfi, Q. Aini, A. Khoirunisa, and U. Rahardja, “Ltai management based on blockchain technology to increase alexa rank,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4798–4802, 2020.

[7] M. Chaudhary, J. Pruthi, V. K. Jain, and Suryakant, “A novel squirrel search clustering algorithm for text document clustering,” Int. J. Inf. Technol., 2022, doi: 10.1007/s41870-022-01078-6.

[8] V. L. Narayana, S. Sirisha, G. Divya, N. L. S. Pooja, and S. A. Nouf, “Mall Customer Segmentation Using Machine Learning,” in Proceedings of the International Conference on Electronics and Renewable Systems, ICEARS 2022, 2022, vol. 2022-Janua, pp. 1280–1288. doi: 10.1109/ICEARS53579.2022.9752447.

2>> T. Astuti and B. Puspita, “Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm,Int. J. Informatics Inf. Syst., vol. 3, no. 1, pp. 23–28, 2020.

Cited By (Scopus Documents) :

[1] U. Rahardja, C. Lukita, F. Andriyani, and Masaeni, “Optimization of marketing workforce scheduling using metaheuristic genetic algorithms,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 243–249, 2020.

3>> I. Santiko and D. Kurniawan, “Classification of Low Birth Weight Baby Under Anthropometry uses Algorithms K-Means Clustering on Maternity Hospital,Int. J. Informatics Inf. Syst., vol. 3, no. 1, pp. 29–35, 2020.

Cited By (Scopus Documents) :

[1] U. Rahardja, C. Lukita, F. Andriyani, and Masaeni, “Optimization of marketing workforce scheduling using metaheuristic genetic algorithms,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 243–249, 2020.

4>> D. Suhartono, “System of Information Feedback on Archive Using Term Frequency- Inverse Document Frequency and Vector Space Model Methods,Int. J. Informatics Inf. Syst., vol. 3, no. 1, pp. 36–42, 2020.

Cited By (Scopus Documents) :

[1] Henderi, Q. Aini, A. D. Srenggini, and A. Khoirunisa, “Rule based expert system for supporting assessment of learning outcomes,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 266–271, 2020.

5>> A. Azis, B. Adhi, and A. Maselia, “Support System for Determination of Low-Income Students Scholarship ( BSM ) with Technique for Order Preference by Similarity to Ideal Solution ( TOPSIS ),Int. J. Informatics Inf. Syst., vol. 3, no. 1, pp. 1–11, 2020.

Cited By (Scopus Documents) :

[1] Henderi, Q. Aini, A. D. Srenggini, and A. Khoirunisa, “Rule based expert system for supporting assessment of learning outcomes,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 266–271, 2020, doi: 10.30534/IJATCSE/2020/3991.22020.

[2] Y. Li, Y. Zhang, and F. Zhang, “Materialism Predicts College Students’ Entrepreneurial Intention: A Serial Mediation Model,” Front. Psychol., vol. 13, 2022, doi: 10.3389/fpsyg.2022.864069.

[3] F. D. Ishak and F. I. Romli, “Design Selection for New In-Flight Food Delivery and Waste Collection System of Commercial Passenger Transport Aircraft using TOPSIS,” J. Mech. Eng., vol. 18, no. 3, pp. 233–245, 2021.


Volume 2 Number 3


1>> Y.-M. Chen, “The Charisma of Online Group-Buying: The Moderating Role of Social Motivation,IJIIS Int. J. Informatics Inf. Syst., vol. 2, no. 3, pp. 99–101, 2019, doi: 10.47738/ijiis.v2i1.86.

Cited By (Scopus Documents) :

[1] T. Hariguna and A. Ruangkanjanases, “Public Behavior as an Output of E-Government Service : The Role of New Technology Integrated in E-Government and Antecedent of Relationship Quality,” Sustain., vol. 13, no. 7464, p. 2021, 2021, doi: https://doi.org/10.3390/su13137464.


Volume 2 Number 2


1>> T. Hariguna, W. Maulana, and A. Nurwanti, “Sentiment Analysis of Product Reviews as A Customer Recommendation Using the Naive Bayes Classifier Algorithm,Int. J. Informatics Inf. Syst., vol. 2, no. 2, pp. 48–55, 2019.

Cited By (Scopus Documents) :

[1] S. Edy Victor Haryanto, “Optimizing the confidentiality of lecturer database using elgamal algorithm,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4671–4677, 2020.

[2] I. Handayani, D. Supriyanti, G. Maulani, and N. Lutfiani, “The ilearning journal center: Education startup to enhance lecturer research,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4678–4682, 2020.

[3] T. Hariguna, B.N. Sadiq, and H.T. Sukmana, “Implementation of Search Engine Optimization (SEO) in e-Commerce Website Using on Page SEO and off Page SEO,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 5481–5484, 2020.

[4] Sarmini, A. Prasetyo, and S. P. Adipurwoko, “Preventive efforts and risk management in information technology using cobit 5,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4740–4745, 2020.

[5] P. Sokibi, M. Asfi, Q. Aini, A. Khoirunisa, and U. Rahardja, “Ltai management based on blockchain technology to increase alexa rank,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4798–4802, 2020.

[6] Sarmini, A. Alhabeeb, M. M. Abusharhah, T. Hariguna, and A. R. Hananto, “An Investigation into Indonesian Students’ Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis,” Int. J. Informatics Vis., vol. 6, no. 3, pp. 604–609, 2022, doi: 10.30630/joiv.6.3.894.

[7] T. Hariguna, Sarmini, and A. R. Hananto, “E-government Public Complaints Text Classification Using Particle Swarm Optimization in Naive Bayes Algorithm,” in 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2022, pp. 303–307. doi: 10.1109/CyberneticsCom55287.2022.9865585.

2>> K. Z. Thwe and T. Yukawa, “Improving Music Recommendation System by Applying Latent Topics of Lyrics,” IJIIS Int. J. Informatics Inf. Syst., vol. 2, no. 2, pp. 91–98, 2019, [Online]. Available: http://ijiis.org/index.php/IJIIS/article/view/91

Cited By (Scopus Documents) :

[1] H. Nakata and T. Nakanishi, “Music Recommendation Method for Time-Series Emotions from Lyrics Using Valence-Arousal-Dominance Model,” in Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022, 2022, pp. 443–448. doi: 10.1109/IIAIAAI55812.2022.00093.

3>> T. Astuti and I. Pratika, “Product Review Sentiment Analysis by Artificial Neural Network Algorithm, IJIIS Int. J. Informatics Inf. Syst., vol. 2, no. 2, pp. 61–66, 2019, doi: 10.47738/ijiis.v2i2.15.

Cited By (Scopus Documents) :

[1] Sarmini, A. Alhabeeb, M. M. Abusharhah, T. Hariguna, and A. R. Hananto, “An Investigation into Indonesian Students’ Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis,” Int. J. Informatics Vis., vol. 6, no. 3, pp. 604–609, 2022, doi: 10.30630/joiv.6.3.894.

4>> I. Santiko and I. Honggo, “Naive Bayes Algorithm Using Selection of Correlation Based Featured Selections Features for Chronic Diagnosis Disease,” IJIIS Int. J. Informatics Inf. Syst., vol. 2, no. 2, pp. 56–60, 2019, doi: 10.47738/ijiis.v2i2.14.

Cited By (Scopus Documents) :

[1] T. Hariguna, Sarmini, and A. R. Hananto, “E-government Public Complaints Text Classification Using Particle Swarm Optimization in Naive Bayes Algorithm,” in 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2022, pp. 303–307. doi: 10.1109/CyberneticsCom55287.2022.9865585.


Volume 2 Number 1


1>> I. Santiko and P. Subarkah, “Comparison of Cart and Naive Bayesian Algorithm Performance to Diagnose Diabetes Mellitus,Int. J. Informatics Inf. Syst., vol. 2, no. 1, pp. 9–16, 2019.

Cited By (Scopus Documents) :

[1] S. Edy Victor Haryanto, “Optimizing the confidentiality of lecturer database using elgamal algorithm,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4671–4677, 2020.

[2] I. Handayani, D. Supriyanti, G. Maulani, and N. Lutfiani, “The ilearning journal center: Education startup to enhance lecturer research,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4678–4682, 2020.

[3] T. Hariguna, B.N. Sadiq, and H.T. Sukmana, “Implementation of Search Engine Optimization (SEO) in e-Commerce Website Using on Page SEO and off Page SEO,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 5481–5484, 2020.

[4] U. Rahardja, S. Kosasi, E. P. Harahap, and Q. Aini, “Authenticity of a diploma using the blockchain approach,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 250–256, 2020.

[5] Sarmini, A. Prasetyo, and S. P. Adipurwoko, “Preventive efforts and risk management in information technology using cobit 5,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4740–4745, 2020.

[6] P. Sokibi, M. Asfi, Q. Aini, A. Khoirunisa, and U. Rahardja, “Ltai management based on blockchain technology to increase alexa rank,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4798–4802, 2020.

[7] T. Hariguna, Sarmini, and A. R. Hananto, “E-government Public Complaints Text Classification Using Particle Swarm Optimization in Naive Bayes Algorithm,” in 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2022, pp. 303–307. doi: 10.1109/CyberneticsCom55287.2022.9865585.

2>> M. Dianingrum, N. Hermanto, and M. Iqbal, “Expert System for Simulation of Pest and Disease Diagnosis in Onion Plant Using Putty Shafer Method and Rule-Based Approach,Int. J. Informatics Inf. Syst., vol. 2, no. 1, pp. 1–8, 2019.

Cited By (Scopus Documents) :

[1] Q. Aini, B. S. Riza, N. P. L. Santoso, A. Faturahman, and U. Rahardja, “Digitalization of smart student assessment quality in era 4.0,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 257–265, 2020.

3>> T. Hariguna and V. Rachmawati, “Community Opinion Sentiment Analysis on Social Media Using Naive Bayes Algorithm Methods,Int. J. Informatics Inf. Syst., vol. 2, no. 1, pp. 33–38, 2019.

Cited By (Scopus Documents) :

[1] I. Handayani, D. Supriyanti, G. Maulani, and N. Lutfiani, “The ilearning journal center: Education startup to enhance lecturer research,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4678–4682, 2020, doi: 10.30534/ijatcse/2020/70942020.

[2] Nurhayati, F. Agustian, and M. D. I. Lubis, “Particle Swarm Optimization Feature Selection for Breast Cancer Prediction,” 2020, doi: 10.1109/CITSM50537.2020.9268865.

[3] I. Handayani, D. Supriyanti, G. Maulani, and N. Lutfiani, “The ilearning journal center: Education startup to enhance lecturer research,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4678–4682, 2020, doi: 10.30534/ijatcse/2020/70942020.

[4] Sarmini, A. Prasetyo, and S. P. Adipurwoko, “Preventive efforts and risk management in information technology using cobit 5,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4740–4745, 2020, doi: 10.30534/ijatcse/2020/80942020.

[5] S. Edy Victor Haryanto, “Optimizing the confidentiality of lecturer database using elgamal algorithm,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4671–4677, 2020, doi: 10.30534/ijatcse/2020/69942020.

[6] P. Sokibi, M. Asfi, Q. Aini, A. Khoirunisa, and U. Rahardja, “Ltai management based on blockchain technology to increase alexa rank,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 4798–4802, 2020, doi: 10.30534/ijatcse/2020/88942020.

[7] T. Hariguna, B. N. Sadiq, and H. T. Sukmana, “Chatbot smart assistant using n-gram and bi-gram algorithm,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 4, pp. 5481–5484, 2020, doi: 10.30534/ijatcse/2020/189942020.

[8] U. Rahardja, S. Kosasi, E. P. Harahap, and Q. Aini, “Authenticity of a diploma using the blockchain approach,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 250–256, 2020, doi: 10.30534/IJATCSE/2020/3791.22020.

[9] T. Hariguna, Sarmini, and A. R. Hananto, “E-government Public Complaints Text Classification Using Particle Swarm Optimization in Naive Bayes Algorithm,” in 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2022, pp. 303–307. doi: 10.1109/CyberneticsCom55287.2022.9865585.

[10] S. Hu and Z. Zhu, “Effects of Social Media Usage on Consumers’ Purchase Intention in Social Commerce: A Cross-Cultural Empirical Analysis,” Front. Psychol., vol. 13, 2022, doi: 10.3389/fpsyg.2022.837752.

4>> T. Astuti and L. Anggraini, “Analysis of Sequential Book Loan Data Pattern Using Generalized Sequential Pattern (GSP) Algorithm,Int. J. Informatics Inf. Syst., vol. 2, no. 1, pp. 17–23, 2019.

Cited By (Scopus Documents) :

[1] Q. Aini, B. S. Riza, N. P. L. Santoso, A. Faturahman, and U. Rahardja, “Digitalization of smart student assessment quality in era 4.0,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 1.2 Special Issue, pp. 257–265, 2020, doi: 10.30534/IJATCSE/2020/3891.22020.

5>> D. Suhartono and T. Sari, “Comparative Method of Weighted Product and TOPSIS to Determine The Beneficiary of Family Hope Program IJIIS,Int. J. Informatics Inf. Syst., vol. 2, pp. 67–74, 2019.

Cited By (Scopus Documents) :

[1] A. N. Kasiwi, A. Nurmandi, D. Mutiarin, and M. F. Azka, “Artificial Data Management in Reaching Conditional Cash Transfer of Program Keluarga Harapan (PKH) Utilizing Simple Addictive Weighting,” in IOP Conference Series: Earth and Environmental Science, 2021, vol. 717, no. 1, doi: 10.1088/1755-1315/717/1/012013.

[2] T. Hariguna, U. Rahardja, and U. Sarmini, “The Role of E-Government Ambidexterity as the Impact of Current Technology and Public Value: An Empirical Study,” Informatics, vol. 9, no. 3, 2022, doi: 10.3390/informatics9030067.

[3] Handrizal, Elviwani, and M. A. Kurniawan, “Competitive candidate determination system for students with comparative analysis of weighted product (WP) algorithm and technique for order by similarity (TOPSIS),” J. Theor. Appl. Inf. Technol., vol. 99, no. 21, pp. 5039–5049, 2021.

6>> T. Hariguna and M. Tsamara, “E-Government Asset Management Using the Extreme Programming,IJIIS Int. J. Informatics Inf. Syst., vol. 2, no. 1, pp. 24–32, 2019, doi: 10.47738/ijiis.v2i1.1.

Cited By (Scopus Documents) :

[1] T. Hariguna and A. Ruangkanjanases, “Public Behavior as an Output of E-Government Service : The Role of New Technology Integrated in E-Government and Antecedent of Relationship Quality,” Sustain., vol. 13, no. 7464, p. 2021, 2021, doi: https://doi.org/10.3390/su13137464.


Volume 1 Number 1


1>> N. Hsueh, “An Alliance-Based Term Project in Software Quality Courses : a Lesson,” IJIIS Int. J. Informatics Inf. Syst., vol. 1, no. 1, pp. 28–35, 2018.

Cited By (Scopus Documents) :

[1] Y. Li, Y. Zhang, and F. Zhang, “Materialism Predicts College Students’ Entrepreneurial Intention: A Serial Mediation Model,” Front. Psychol., vol. 13, 2022, doi: 10.3389/fpsyg.2022.864069.

2>> T. Astuti and P. D. P. Handoko, “Effect of Selection of Classification Features C4.5 Algorithm in Student Alcohol Consumption Dataset,” IJIIS Int. J. Informatics Inf. Syst., vol. 1, no. 1, pp. 24–27, 2018, doi: 10.47738/ijiis.v1i1.20.

Cited By (Scopus Documents) :

[1] Y. Li, Y. Zhang, and F. Zhang, “Materialism Predicts College Students’ Entrepreneurial Intention: A Serial Mediation Model,” Front. Psychol., vol. 13, 2022, doi: 10.3389/fpsyg.2022.864069.

3>> M. Imron and S. A. Kusumah, “Application of Data Mining Classification Method for Student Graduation Prediction Using K-Nearest Neighbor (K-NN) Algorithm,” IJIIS Int. J. Informatics Inf. Syst., vol. 1, no. 1, pp. 1–8, 2018, doi: 10.47738/ijiis.v1i1.17.

Cited By (Scopus Documents) :

[1] Y. Li, Y. Zhang, and F. Zhang, “Materialism Predicts College Students’ Entrepreneurial Intention: A Serial Mediation Model,” Front. Psychol., vol. 13, 2022, doi: 10.3389/fpsyg.2022.864069.

[2] S. K. L. Sameer and P. Sriramya, “Improving the Accuracy for Prediction of Heart Disease by Novel Feature Selection Scheme using Decision tree comparing with Naive-Bayes Classifier Algorithms,” 2022. doi: 10.1109/ICBATS54253.2022.9758926.