The influence of political party relationship patterns on people’s voting decisions ahead of the 2024 Elections
DOI:
https://doi.org/10.12928/commicast.v5i2.10259Keywords:
Relationship Patterns , Elections , Political Parties , Voters , Floating MassAbstract
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
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