Sentiment Analysis on the Application of Tabungan Perumahan Rakyat (TAPERA) Policy in Indonesia

Naufal Dzulfikar

doi:10.18860/mat.v17i2.32215

Sentiment Analysis on the Application of Tabungan Perumahan Rakyat (TAPERA) Policy in Indonesia

Naufal Dzulfikar

Abstract

Tapera is a program provided by the Indonesian government with the aim of providing poor people with decent housing, by charging all working classes with salaries above the Regional Minimum Wage of 3% for Tapera contributions. Even though it seems that this program aims to help poor people, this has given rise to a new polemic, which can be seen from some people who don't like this, as can be seen from several negative comments on social media, one of which is X or Twitter. The purpose of writing this paper is to find out whether the sentiment of the TAPERA policy is positive or negative for Indonesians citizens that affected by the policy, with the aim that the author can provide recommendations for government also encourage the usage of Social Media Analytics on government sector in Indonesia, even the result of the sentiment analysis is majority positive or majority negative. This research is conducted by collecting data from Twitter and then processed in such a way, and later will be checked for sentiment analysis with the naive bayes method. From 742 datasets that got from Twitter (after getting sortied, previously, 1680 data was get), it shows that there are 651 tweets that have negative sentiments, and 91 tweets have positive sentiments, which shows how people are disappointed with the TAPERA policy.

Full Text:

PDF

References

[1] I. N. Yulita et al, "Analysis of Government Policy Sentiment Regarding Vacation during the COVID-19 Pandemic Using the Bidirectional Encoder Representation from Transformers (BERT)," Data, vol. 8, (3), pp. 46, 2023. Available: https://www.proquest.com/scholarly-journals/analysis-government-policy-sentiment-regarding/docview/2791602503/se-2. DOI: https://doi.org/10.3390/data8030046.

[2] Yi Tay, Mostafa Dehghani, Dara Bahri, and Donald Metzler. 2022. Efficient Transformers: A Survey. ACM Comput. Surv. 55, 6, Article 109 (June 2023), 28 pages. https://doi.org/10.1145/3530811

[3] Z. N. Aziza and D. Y. Kristiyanto, "Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis," E3S Web of Conferences, vol. 317, 2021. Available: https://www.proquest.com/conference-papers-proceedings/prediction-level-public-trust-government-policies/docview/2819262849/se-2. DOI: https://doi.org/10.1051/e3sconf/202131705013.

[4] Witten, IH; Pal, CJ; Frank, E; Hall, MA. Data mining. Practical machine learning tools and techniques. Cambridge: Morgan Kaufmann; 2017.

[5] Fayyad, U; Piatetsky-Shapiro, G; Smyth, P. From data mining to knowledge discovery in databases. AI magazine 1996;17:37-54.

[6] G. Schuh et al, "Data Mining Definitions and Applications for the Management of Production Complexity," Procedia CIRP, vol. 81, pp. 874-879, 2019.

[7] K. A. Silva, G. de Souza Rolim and de Oliveira Aparecido, Lucas Eduardo, "Forecasting El Niño and La Niña events using decision tree classifier," Theoretical and Applied Climatology, vol. 148, (3-4), pp. 1279-1288, 2022.

[8] R. Ramesh et al, "Thermal error measurement and modelling in machine tools. Part II. Hybrid Bayesian Network—support vector machine model," International Journal of Machine Tools & Manufacture, vol. 43, (4), pp. 405-419, 2003.

[9] Nurul Fitri Ramadhani, “Cek Fakta: benarkah Tapera jadi kontroversi hanya karena kurangnya sosialisasi?,” The Conversation, Jun. 25, 2024. https://theconversation.com/cek-fakta-benarkah-tapera-jadi-kontroversi-hanya-karena-kurangnya-sosialisasi-233227 (accessed Aug. 22, 2024).

[10] M. Haroon, "Comparative Analysis of Stemming Algorithms for Web Text Mining," International Journal of Modern Education and Computer Science, vol. 11, (9), pp. 20, 2018. Available: https://www.proquest.com/scholarly-journals/comparative-analysis-stemming-algorithms-web-text/docview/2114235714/se-2. DOI: https://doi.org/10.5815/ijmecs.2018.09.03.

[11] Z. Rehman et al, "Morpheme Matching Based Text Tokenization for a Scarce Resourced Language," PLoS One, vol. 8, (8), 2013. Available: https://www.proquest.com/scholarly-journals/morpheme-matching-based-text-tokenization-scarce/docview/1431447106/se-2. DOI: https://doi.org/10.1371/journal.pone.0068178.

[12] A. Seto, "Islamist Buzzers: Message Flooding, Offline Outreach, and Astroturfing," Austrian Journal of South - East Asian Studies, vol. 12, (2), pp. 187-208, 2019. Available: https://www.proquest.com/scholarly-journals/islamist-buzzers-message-flooding-offline/docview/2335163852/se-2. DOI: https://doi.org/10.14764/10.ASEAS-0021.

[13] M. Chi et al, "Morphable Word Clouds for Time-Varying Text Data Visualization," IEEE Transactions on Visualization and Computer Graphics, vol. 21, (12), pp. 1415-1426, 2015.

[14] Transparency International, “2023 Corruption Perceptions Index - Explore Indonesia’s results,” Transparency.org, Jan. 30, 2024. https://www.transparency.org/en/cpi/2023/index/idn

[15] W. Budiharto and M. Meiliana, "Prediction and analysis of Indonesia Presidential election from Twitter using sentiment analysis," Journal of Big Data, vol. 5, (1), pp. 1-10, 2018. Available: https://www.proquest.com/scholarly-journals/prediction-analysis-indonesia-presidential/docview/2158433012/se-2. DOI: https://doi.org/10.1186/s40537-018-0164-1.

[16] Ravindran SK, Garg V. Mastering Social media mining with R: extract valuable data from your social media sites and make better business decisions using R. Birmingham: Packt Publisher; 2015

[17] Maksum Rangkuti, “Apa Yang Dimaksud Dengan Tapera? Begini Penjelasannya,” Blog Info dan Berita, Jun. 06, 2024. https://fahum.umsu.ac.id/blog/apa-yang-dimaksud-dengan-tapera-begini-penjelasannya/ (accessed Aug. 18, 2024).

[18] Riefky et al, "Growing public distrust towards the Indonesian Government for lack of response to COVID-19 outbreak," IOP Conference Series. Earth and Environmental Science, vol. 716, (1), pp. 12072, 2021.

[19] “Home - BERTopic,” maartengr.github.io. https://maartengr.github.io/BERTopic/index.html

[20] H. Satria, “Crawl data twitter menggunakan tweet Harvest - Juli 2023,” Helmi Satria, https://helmisatria.com/blog/crawl-data-twitter-menggunakan-tweet-harvest (accessed Dec. 9, 2023).

[21] “Tapera: Mengapa Kebijakan tabungan Perumahan Rakyat disebut ‘Tidak Masuk Akal’ Menyediakan Hunian rakyat Yang Terjangkau?”, BBC News Indonesia, https://www.bbc.com/indonesia/articles/cyxxjdwk5z8o (accessed Aug. 16, 2024).

[22] K. K. Purnamasari and I. S. Suwardi, “Rule-based Part of Speech Tagger for Indonesian Language,” IOP Conf Ser Mater Sci Eng, vol. 407, no. 1, p. 12151, 2018, doi: 10.1088/1757-899X/407/1/012151.R

[23] M. A. Rosid, A. S. Fitrani, I. R. I. Astutik, N. I. Mulloh, and H. A. Gozali, “Improving Text Preprocessing For Student Complaint Document Classification Using Sastrawi,” IOP Conf Ser Mater Sci Eng, vol. 874, no. 1, p. 12017, 2020, doi: 10.1088/1757-899X/874/1/012017.

[24] Y. Ying, T. N. Mursitama, Shidarta, and Lohansen, “Effectiveness of the News Text Classification Test Using the Naïve Bayes’ Classification Text Mining Method,” J Phys Conf Ser, vol. 1764, no. 1, p. 12105, 2021, doi: 10.1088/1742-6596/1764/1/012105.

[25] N. I. Nordin et al, "Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model," Bioengineering, vol. 10, (11), pp. 1318, 2023. Available: https://www.proquest.com/scholarly-journals/enhancing-covid-19-classification-accuracy-with/docview/2892968688/se-2. DOI: https://doi.org/10.3390/bioengineering10111318.

[26] Google Trends. “Tapera” Accessed August 16, 2024. https://trends.google.co.id/trends/explore?date=today%203-m&geo=ID&q=tapera&hl=id

[27] V. S. Kumar and K. Vidhya, "Heart Plaque Detection with Improved Accuracy using Naive Bayes and comparing with Least Squares Support Vector Machine," Cardiometry, (25), pp. 1595-1599, 2022. Available: https://www.proquest.com/scholarly-journals/heart-plaque-detection-with-improved-accuracy/docview/2777085851/se-2. DOI: https://doi.org/10.18137/cardiometry.2022.25.15951599.

[28] Anggita Raissa, “Tapera Ditunda, Bagaimana Kelanjutannya?” Deduktif.id, 2024. https://deduktif.id/tapera-ditunda-bagaimana-kelanjutannya (accessed Sep. 13, 2024).

DOI: https://doi.org/10.18860/mat.v17i2.32215

Refbacks

There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The journal is indexed by :

_______________________________________________________________________________________________________________

Editorial Office:
Informatics Engineering Department
Faculty of Science and Technology
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
Email: matics@uin-malang.ac.id
_______________________________________________________________________________________________________________

Username
Password
Remember me