Analisis Persepsi Masyarakat Indonesia Terhadap Hiperlipidemia “Studi pada Sosial Media Twitter”

Analysis of Indonesian Society’s Perception of Hyperlipidemia “Study on Twitter Social Media”

Authors

  • Murojil Hasan Universitas Gadjah Mada
  • Chairun Weidyaningsih Universitas Gadjah Mada
  • Nanang Munif Yasin Universitas Gadjah Mada

DOI:

https://doi.org/10.33084/jsm.v10i1.5335

Keywords:

hiperlipidemia, media sosial, twitter, persepsi

Abstract

Hiperlipidemia merupakan salah satu Penyakit tidak menular yang  disebabkan oleh berbagai macam faktor seperti sosioekonomi, budaya, adat, kebiasaan dan gaya hidup seseorang. Dengan adanya interaksi antar pengguna pada media sosial yang didalamnya berisi informasi, keluhan, saran maupun permintaan bantuan dapat menjadi alat untuk dapat mengetahui persepsi publik yang berguna sebagai bahan intervensi guna menekan laju terjadinya hiperlipidemia di Indonesia. Penelitian ini bertujuan untuk mengetahui faktor yang berpengaruh terhadap persepsi masyarakat terhadap hiperlipidemia yang dihasilkan pada platform media sosial twitter. Data tweet diambil dari unggahan pengguna dengan kata kunci berupa istilah dan obat hiperlipidemia pada rentang waktu tahun 2020 dan selanjutnya dilakukan analisis konten secara kulalitatif.  Tweet terkait hiperlipidemia yang didapat kemudian dilakukan ekstraksi dengan mengeluarkan tweet berisi iklan, berita, retweet serta konten diluar kesehatan agar mendapat persepsi dari pengguna secara utuh. Kami mengidentifikasin 1572 tweet terkait hiperlipidemia dengan 1.246 tweet (79.26%) berasal dari sudut pandang orang pertama, 156 tweet (9.92%)berasal dari sudut pandang orang kedua,114 tweet (7.25%) berasal dari tenaga kesehatan dan 56 tweet (3.56%) lain- lain. Kami mengidentifikasi 8 tema terkait hiperlipidemia yakni mengenai gejala sebanyak 120 tweet (7.69%), obat 153 tweet (9.80%), komplikasi 156 tweet (9.99%), biaya 19 tweet (1.22%), kebijakan pemerintah 16 tweet (1.02%), gaya hidup 649 tweet (41.58%), lain- lain 79 tweet (5.06%) dan tidak diketahui sebanyak 367 tweet (23.51%).  Twitter dapat menjadi sumber informasi kesehatan, sarana komunikasi, jaringan tenaga kesehatan dan media promosi kesehatan. Penilaian persepsi dan sentimen masyarakat terhadap permasalahan kesehatan bisa dilakukan sebagai upaya merumuskan strategi dan kebijakan promosi kesehatan secara tepat sasaran.

 

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Author Biographies

Murojil Hasan, Universitas Gadjah Mada

Chairun Weidyaningsih, Universitas Gadjah Mada

Nanang Munif Yasin, Universitas Gadjah Mada

References

Adrover, C., Bodnar, T., Huang, Z., Telenti, A., & Salathé, M. (2015). Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter. JMIR Public Health and Surveillance, 1(2), e7. https://doi.org/10.2196/publichealth.4488

Alshakhs, F., & Alanzi, T. (2018). The evolving role of social media in health-care delivery: Measuring the perception of health-care professionals in Eastern Saudi Arabia. Journal of Multidisciplinary Healthcare, Volume 11, 473–479. https://doi.org/10.2147/JMDH.S171538

Bíró, A. (2015). Did the junk food tax make the Hungarians eat healthier? Food Policy, 54, 107–115. https://doi.org/10.1016/j.foodpol.2015.05.003

De Choudhury, M., Morris, M. R., & White, R. W. (2014). Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1365–1376. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/2556288.2557214

Febriani, D., & Febriani, B. (2018). The Effect of Lifestyle on Hypercholesterolemia. The Open Public Health Journal, 11(1), 526–532. https://doi.org/10.2174/1874944501811010526

Gohil, S., Vuik, S., & Darzi, A. (2018). Sentiment Analysis of Health Care Tweets: Review of the Methods Used. JMIR Public Health and Surveillance, 4(2), e43. https://doi.org/10.2196/publichealth.5789

Irawati, S., Prayudeni, S., Rachmawati, R., Wita, I. W., Willfert, B., Hak, E., & Taxis, K. (2020). Key factors influencing the prescribing of statins: A qualitative study among physicians working in primary healthcare facilities in Indonesia. BMJ Open, 10(6), e035098. https://doi.org/10.1136/bmjopen-2019-035098

Islam, Sheikh Mohammad Shariful, Tabassum, R., Liu, Y., Chen, S., Redfern, J., Kim, S.-Y., … Chow, C. K. (2019). The role of social media in preventing and managing non-communicable diseases in low-and-middle income countries: Hope or hype? Health Policy and Technology, 8(1), 96–101. https://doi.org/10.1016/j.hlpt.2019.01.001

Islam, Sheikh Mohammed Shariful, Purnat, T. D., Phuong, N. T. A., Mwingira, U., Schacht, K., & Fröschl, G. (2014). Non‐Communicable Diseases (NCDs) in developing countries: A symposium report. Globalization and Health, 10(1), 81. https://doi.org/10.1186/s12992-014-0081-9

Kent, E. E., Prestin, A., Gaysynsky, A., Galica, K., Rinker, R., Graff, K., & Chou, W.-Y. S. (2016). “Obesity is the New Major Cause of Cancer”: Connections Between Obesity and Cancer on Facebook and Twitter. Journal of Cancer Education, 31(3), 453–459. https://doi.org/10.1007/s13187-015-0824-1

Laor, T. (2022). My social network: Group differences in frequency of use, active use, and interactive use on Facebook, Instagram and Twitter. Technology in Society, 68, 101922. https://doi.org/10.1016/j.techsoc.2022.101922

Ma, D., Sakai, H., Wakabayashi, C., Kwon, J.-S., Lee, Y., Liu, S., … Wang, P. (2017). The prevalence and risk factor control associated with noncommunicable diseases in China, Japan, and Korea. Journal of Epidemiology, 27(12), 568–573. https://doi.org/10.1016/j.je.2016.12.019

Maulana, A. E., & Pradana, H. G. (2018). Regular medical checkup behaviour: Preventing is better than curing. Asia Pacific Journal of Marketing and Logistics, 30(2), 478–494. https://doi.org/10.1108/APJML-11-2016-0229

Nugroho, L. C. (2018). SELUK - BELUK HIPERLIPIDEMIA PENINGKATAN PARTISIPASI DAN KOMPETENSI FARMASIS DALAM PENCEGAHAN PENYAKIT KARDIOVASKULAR. Berkala Ilmiah Kedokteran Duta Wacana, 3(1), 68. https://doi.org/10.21460/bikdw.v3i1.111

Otsuka, T., Konta, T., Sho, R., Osaki, T., Souri, M., Suzuki, N., … Ueno, Y. (2021). Factors associated with health intentions and behaviour among health checkup participants in Japan. Scientific Reports, 11(1), 19761. https://doi.org/10.1038/s41598-021-99303-y

Pinheiro, R. P., Oliveira, C. R. D., Rodrigues, A. D. S., Meneses, M. J. M., & Alves, R. J. (2022). Relationship between neck circumference, neck-to-height ratio and arterial stiffness in hyperlipidemic patients: A preliminary report. Atherosclerosis, 355, 162. https://doi.org/10.1016/j.atherosclerosis.2022.06.695

Rauf, A., Akram, M., Anwar, H., Daniyal, M., Munir, N., Bawazeer, S., … Khan, H. (2022). Therapeutic potential of herbal medicine for the management of hyperlipidemia: Latest updates. Environmental Science and Pollution Research, 29(27), 40281–40301. https://doi.org/10.1007/s11356-022-19733-7

Rhee, E.-J., Kim, H. C., Kim, J. H., Lee, E. Y., Kim, B. J., Kim, E. M., … Jeong, I.-K. (2019). 2018 Guidelines for the management of dyslipidemia. The Korean Journal of Internal Medicine, 34(4), 723–771. https://doi.org/10.3904/kjim.2019.188

Shattat, G. F. (2014). A Review Article on Hyperlipidemia: Types, Treatments and New Drug Targets. Biomedical and Pharmacology Journal, 7(2), 399–409. https://doi.org/10.13005/bpj/504

Sukartini, N. M., Purwono, R., Surjaningrum, E. R., Win, T., Wangge, G., Chrisnahutama, A., … Handayani, T. (2023). Do tax and subsidy on unhealthy food induce consumer consumption for healthy food? Evidence from experiment in Surabaya, Indonesia. Journal of Public Health Research, 12(1), 227990362211473. https://doi.org/10.1177/22799036221147362

Wagner, K.-H., & Brath, H. (2012). A global view on the development of non communicable diseases. Preventive Medicine, 54, S38–S41. https://doi.org/10.1016/j.ypmed.2011.11.012

Wijayanti, R. P., Handayani, P. W., & Azzahro, F. (2022). Intention to seek health information on social media in Indonesia. Procedia Computer Science, 197, 118–125. https://doi.org/10.1016/j.procs.2021.12.125

Yang, F.-C., Lee, A. J. T., & Kuo, S.-C. (2016). Mining Health Social Media with Sentiment Analysis. Journal of Medical Systems, 40(11), 236. https://doi.org/10.1007/s10916-016-0604-4

Yıldırım Baş, F., Demirci, S., Arslan, B., & Salman, Z. (2015). Headache in hyperlipidemia patients. The Journal of Tepecik Education and Research Hospital, 25(3), 186–190. https://doi.org/10.5222/terh.2015.186

Zullig, L. L., Sanders, L. L., Thomas, S., Brown, J. N., Danus, S., McCant, F., & Bosworth, H. B. (2016). Health beliefs and desire to improve cholesterol levels among patients with hyperlipidemia. Patient Education and Counseling, 99(5), 830–835. https://doi.org/10.1016/j.pec.2015.11.025

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Published

2024-04-27

How to Cite

Hasan, M., Weidyaningsih, C., & Yasin, N. M. (2024). Analisis Persepsi Masyarakat Indonesia Terhadap Hiperlipidemia “Studi pada Sosial Media Twitter”: Analysis of Indonesian Society’s Perception of Hyperlipidemia “Study on Twitter Social Media”. Jurnal Surya Medika (JSM), 10(1), 316–324. https://doi.org/10.33084/jsm.v10i1.5335