The influence of political party relationship patterns on people’s voting decisions ahead of the 2024 Elections

Authors

  • M. Nastain Universitas Mercu Buana Yogyakarta
  • Margareta Wulandari Universitas Mercu Buana Yogyakarta
  • Naela Faza Fariha Universitas Mercu Buana Yogyakarta
  • Feni Indah Lestari Universitas Mercu Buana Yogyakarta
  • Nurmala Pusphita Sari Universitas Mercu Buana Yogyakarta, Wates

DOI:

https://doi.org/10.12928/commicast.v5i2.10259

Keywords:

Relationship Patterns , Elections , Political Parties , Voters , Floating Mass

Abstract

In the modern political context, the pattern of political party relations is an important aspect that influences voter attitudes and preferences. This relates to a rational perspective, where the mechanism of the relationship between political parties and society is a symbiotic relationship of mutualism. This research aims to determine the real influence of the pattern of political party relations on people's voting decisions ahead of the 2024 elections. In the upcoming 2024 elections, the General Elections Commission (KPU) determines 17 political parties as participants. With a large number of political parties, the reality of the relationship between political parties and voters becomes interesting. This study uses a quantitative approach by taking populations from two islands in Indonesia, namely Sumatra and all of Java. The research method used is non-proportional random sampling. Respondents came from 9 provinces in Indonesia with a total of 225 respondents. Variable X in this study is the relationship between political parties and the community and variable Y is the decision to vote. The results of the regression test obtained were Significance F = 0.000 <alpha (0.05) so it can be concluded that variable X has an influence on variable Y. Furthermore, based on the Multiple R value = 0.454, the correlation between the two variables is included in the medium category.

References

Amin, D. F. (2022). Ketidakpercayaan Tokoh Masyarakat Kepada Partai Politik (Studi Kota Bandar Lampung). Universitas Lampung.

Amruddin, A. (2020). Pilkada Serentak Dan Potensi Konflik Di Sulawesi-Selatan. Jurnal Arajang, 3(1), 30–42. https://doi.org/10.31605/arajang.v3i1.584

Arikunto, S. (2010). Prosedur Penelitian Suatu Pendekatan Praktik. Rineka Cipta.

Arikunto Suharsimi. (2013). Prosedur penelitian suatu pendekatan praktik. In Jakarta: Rineka Cipta.

Basuki, U. (2020). Parpol, Pemilu dan Demokrasi: Dinamika Partai Politik dalam Sistem Pemilihan Umum di Indonesia Perspektif Demokrasi. Kosmik Hukum, 20(2), 81. https://doi.org/10.30595/kosmikhukum.v20i2.8321

Darmawan, D. (2013). Metode Penelitian Kuantitatif (P. Latifah (ed.); 1st ed.). PT Remaja Rosdakarya.

Down, A. (1957). An Economic Theory of Democracy. Harper and Bros.

Efriza, N. (2019). Eksistensi Partai Politik Dalam Persepsi Publik [The Existence of The Political Parties in Public Perception]. Jurnal Politica Dinamika Masalah Politik Dalam Negeri Dan Hubungan Internasional, 10(1), 17–38. https://doi.org/10.22212/jp.v10i1.1314

Febriyan. (2023). Pemilu 2024, Ini 5 Provinsi Dengan Jumlah Pemilih Paling Banyak dan Paling Sedikit. Tempo.Co.

Jayusman, I., & Shavab, O. A. K. (2020). Aktivitas Belajar Mahasiswa Dengan Menggunakan Media Pembelajaran Learning Management System (Lms) Berbasis Edmodo Dalam Pembelajaran Sejarah. Jurnal Artefak, 7(1), 13. https://doi.org/10.25157/ja.v7i1.3180

Junaidi, S., Rahmat, M. R., & Latif, A. (2022). Karakteristik Pemilih Di Kabupaten Sidenreng Rappang Pada Pemilihan Legislatif Dalam Perspektif Teori Pilihan Publik. PRAJA: Jurnal Ilmiah Pemerintahan, 10(2), 100–106. https://doi.org/10.55678/prj.v10i2.654

Kpu.go.id. (2022). Berikut 24 Partai Politik Peserta Pemilu 2024. Kpu.Go.Id.

Kpu.go.id. (2023). Tingkat Kesadaran dan Partisipasi Masyarakat Pada Pemilu. Kpu.Go.Id.

Liata, N. (2020). Relasi Pertukaran Sosial antara Masyarakat dan Partai Politik. Jurnal Sosiologi Agama Indonesia (JSAI), 1(1), 79–95. https://doi.org/10.22373/jsai.v1i1.483

Majapahit, K. (2006). Sistem tata negara kerajaan Majapahit. J Urnal, 163.

Masngudin, & Dahlan, R. (2000). Pola Hubungan Antar Golongan Nadhlatul Ulama dengan Muhammadiyah (Studi Kasus di Pasuruan). Badan Kesejahteraan Sosial Nasional.

Melati, S. O. (2020). Pengaruh Citra Partai, Kelompok Referensi dan Kepercayaan Terhadap Keputusan Mahasiswa Memilih Presiden Pada Pilpres 2019. Universitas Muhammadiyah Ponorogo.

Muhidin, Ali, S., & Abdurrahman, M. (2017). Analisis Korelasi, Regresi dan Jalur Dalam Penelitian Dilengkapi dengan Aplikasi Program SPSS. CV Pustaka Setia.

Nurjaman, A. (2012). Pola Hubungan Partai dan Pemilih ditengah Memudasrnya Politik Aliran. Citra Mentari Malang.

Oktavinanda, P. A. (2012). Public Choice Theory Dan Aplikasinya Dalam Sistem Legislasi Indonesia (Public Choice Theory and its Application in Indonesian Legislation System). SSRN Electronic Journal, 1–24. https://doi.org/10.2139/ssrn.2158542

Purba, E., Purba, B., Syafii, A., Khairad, F., Darwin, D., Valentine, S., Ginting, A. M., Silitonga, H. P., Fitrianna, N., SN, A., & Ernanda, R. (2021). [III.A.1.a.2.8] FullBook Metode Penelitian Ekonomi.

Putri, U. B. (2021). Survey LSI Soal Kepercayaan Publik: DPR dan Parpol Urutan Paling Buncit. Nasional.Tempo.Co.

Rosita, L. (2021). Menilik Kompetisi Politik 2024. Kpu.Go.Id.

Sa’ban Azhar, Wijaya, Andy Arya M, D. La. (2020). Meningkatkan Partisipasi Pemilih Melalui Komunikasi Politik. JISIP: Jurnal Ilmu Sosial Dan Ilmu Politik, 9.

Sugiyono. (2018). Metode Penelitian Manajemen (Setiyawami (ed.); 6th ed.). Alfabeta.

Toshkov, D., Mäder, L., & Rasmussen, A. (2020). Party government and policy responsiveness. Evidence from three parliamentary democracies. Journal of Public Policy, 40(2), 329–347. https://doi.org/10.1017/S0143814X18000417

Wibawana, W. A. (2023). Apa Saja Syarat Menjadi Pemilih dalam Pemilu? Simak Aturannya. News.Detil.Com.

Yasin, R. (2022). Penegakan Hak Politik Pemilih Dalam Pemilu Serentak 2024 Berdasarkan Konstitusi. Jurnal Bawaslu Provinsi Kepulauan Riau, 4(2), 186–199. https://doi.org/10.55108/jbk.v4i2.194

Zulkarnaen, F., Adara, A. S., Rahmawati, A., Wartadiayu, L., & Pamungkas, M. D. (2020). Partisipasi Politik Pemilih Milenial pada Pemilu di Indonesia. Jurnal Politikom Indonesiana, 5(2), 55–63. https://doi.org/10.35706/jpi.v5i2.4554

Zunaria, Y., & Ruliana, P. (2022). Model Orientasi Pemasaran Politik sebagai Strategi Komunikasi Pemenangan Pemilu Legislatif. Warta ISKI, 5(1), 81–91. https://doi.org/10.25008/wartaiski.v5i1.155

Downloads

Published

2024-09-30

How to Cite

Nastain, M. ., Wulandari, M. ., Faza Fariha, N. ., Lestari, F. I., & Pusphita Sari, N. (2024). The influence of political party relationship patterns on people’s voting decisions ahead of the 2024 Elections. COMMICAST, 5(2), 1–20. https://doi.org/10.12928/commicast.v5i2.10259

Issue

Vol. 5 No. 2 (2024): List Accepted Papers - September

Section

Articles

License

Copyright (c) 2024 Feni Indah Lestari, M. Nastain, Margareta Wulandari, Naela Faza Fariha, Nurmala Pusphita Sari

Creative Commons License

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

License and Copyright Agreement

In submitting the manuscript to the journal, the authors certify that:

  • They are authorized by their co-authors to enter into these arrangements.
  • The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal. Please also carefully read Commicast's Posting Your Article Policy at http://journal2.uad.ac.id/index.php/commicast/about/editorialPolicies#custom-5
  • That it is not under consideration for publication elsewhere,
  • That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
  • They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
  • They agree to the following license and copyright agreement.

Copyright

Authors who publish with Commicast agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. 
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Licensing for Data Publication

Commicast use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:

Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.

Open Data and Software Publishing and Sharing

The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.

Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.

Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.