Public Sentiment towards the Medan-Binjai Water Pipeline Excavation using the Naïve Bayes Method

  • Liana Tasya Turnip STMIK Kaputama, Binjai, Sumatera Utara
  • Hotler Manurung STMIK Kaputama, Binjai, Sumatera Utara
  • I Gusti Prahmana STMIK Kaputama, Binjai, Sumatera Utara


The work on this project received sharp scrutiny from Non-Governmental Organizations (NGOs) because it was suspected that it was not in accordance with the Work Operation Standards (SOP) and not in accordance with the Technical Instructions (Guidelines for Implementation) and Juknis (Technical Instructions) .Naive Bayes is based on a simplified estimate that attribute values are conditionally independent of each other when given output values. Obtain an accuracy value of 0.75, with a negative precision classification of 0.75, negative recall1.00 f1-score negative0.86 and a negative3 support value. Precision classification Positive 0.00 positive recall 0.00 f1-score positive 0.00 and positive support value 1. This means that the performance of the system's success in retrieving information that has a positive value in the document is very low. -Binjai using the Naive Bayes algorithm method, it can be concluded as follows: 1) The accuracy level produced by the naïve Bayes classifier is 75%. 2) The advantages of this study are that it has good accuracy, precision and recall values, so that it is enough to be used in a system. 3) The deficiency in this research is in the performance of the system in finding the success of the system to find back information in the positive class, which is equal to 0.00%. This is because the amount of training data in the positive class is less than the negative class or it can be said that the training data used in this study is not balanced.


[1] Agianto, R., Setiawati, A., & Firmansyah, R. (2020). "The Influence of Instagram Social Media on Adolescent Lifestyle and Ethics. TEMATIK-Journal of Information and Communication Technology, 7(2 SE-Articles), 130–139.
[2] Harfian, Y. (2021). "Sentiment Classification of Dana Digital Wallet Application Based on Comments on Instagram Using Naive Bayes Classifier" (Doctoral dissertation, State Islamic University of Sultan Syarif Kasim Riau).
[3] Hermanto, H., Mustopa, A., & Kuntoro, A. Y. (2020). "Naive Bayes and Support Vector Machine Classification Algorithms in Student Complaint Services." JITK (Journal of Computer Science and Technology), 5(2), 211-220.
[4] Hidayatullah, R., Rosyidah, U. A., & Abdurrahman, G. (2022). "Sentiment Analysis of Public towards Eiger Product Comments on Instagram Using Naive Bayes Classifier Method." National Multidisciplinary Sciences, 1(6), 770-777.
[5] Husada, H. C., & Paramita, A. S. (2021). "Sentiment Analysis on Airline Companies on Twitter Platform Using Support Vector Machine (SVM) Algorithm." Teknika, 10(1), 18-26.
[6] Julianto, Y., Setiabudi, D. H., & Rostianingsih, S. (2022). "Sentiment Analysis of Restaurant Reviews using Support Vector Machine Method." Jurnal Infra, 10(1), 1-7.
[7 Pandunata, P., Nurdiansyah, Y., & El Maidah, N. (2022). "Sentiment Analysis of Public Opinions on the Covid-19 Vaccination Program in Indonesia on Twitter Using Naive Bayes Classifier Method." INFORMAL: Informatics Journal, 7(3), 246-257.
[8] Ponomban, K., Jansen, T., & Supit, C. J. (2021). "Planning of Clean Water Supply System in Eris Village, Eris District, Minahasa Regency." JOURNAL SIPIL STATIK, 9(4).
[9] Ridwansyah, T. (2022). "Implementation of Text Mining for Sentiment Analysis of Global Public on Twitter towards the City of Medan Using K-Fold Cross Validation and Naïve Bayes Classifier." KLIK: Journal of Informatics and Computer Scientific Studies, 2(5), 178-185.
[10] Safi'i, A. M. (2021). "Text Mining Classification of Smartphone Product Reviews Using Multinomial Naive Bayes (Case Study: Asus ROG Smartphone Reviews)" (Doctoral dissertation, Kalimantan Institute of Technology).
[11] Sidiq, R. P., Dermawan, B. A., & Umaidah, Y. (2020). "Sentiment Analysis of Toxic Comments in Online Game Facebook Groups Using Naïve Bayes Classification." Journal of Information, Pamulang University, 5(3), 356.
[12] Susianti, I., Ningsih, S. S., Al Haris, M., & Utami, T. W. (2020). "Sentiment Analysis on Twitter Regarding the New Normal using Naïve Bayes Classifier Method." EDUSAINTEK, 4.
[13] Verawati, I., & Audit, B. S. (2022). "Naïve Bayes Classifier Algorithm for Sentiment Analysis of Twitter Users towards Provider By.u." Jurnal Media Informatika Budidarma, 6(3), 1411-1417.
[14] Yohana, P., Agustian, S., & Gusti, S. K. (Classification of Public Sentiment towards Covid-19 Vaccine Policy on Twitter with Imbalance Classes Using Naive Bayes. In National Seminar on Information Technology, Communication, and Industry (pp. 69-80).
How to Cite
TURNIP, Liana Tasya; MANURUNG, Hotler; PRAHMANA, I Gusti. Public Sentiment towards the Medan-Binjai Water Pipeline Excavation using the Naïve Bayes Method. International Journal of Informatics, Economics, Management and Science (IJIEMS), [S.l.], v. 3, n. 1, p. 102-107, jan. 2024. ISSN 2809-8471. Available at: <>. Date accessed: 14 apr. 2024. doi:

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