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All Journal Jurnal Kajian dan Penelitian Umum Terang: Jurnal Kajian Ilmu Sosial, Politik dan Hukum Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial
Ambrosius Dedi A. Sinu
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Analisis Angka Kematian Bayi Di Provinsi Nusa Tenggara Timur Dengan Model Regresi Spasial Elisabeth Brielin Sinu; Ambrosius Dedi A. Sinu
Jurnal Kajian dan Penelitian Umum Vol. 1 No. 6 (2023): Desember: Jurnal Kajian dan Penelitian Umum
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/jkpu-nalanda.v1i6.687

Abstract

This research aims to examine the significant factors influencing Infant Mortality Rate (IMR) in the East Nusa Tenggara Province. Estimation is carried out using a spatial regression model approach. The variables under investigation are the Infant Mortality Rate (Y), the percentage of Low Birth Weight (X1), the percentage of infants receiving breastfeeding (X2), and the percentage of deliveries assisted by medical personnel (X3). The research data consist of secondary data from the year 2022 in 22 regencies/cities obtained from the Central Statistics Agency (BPS) of the East Nusa Tenggara Province. Modeling with Ordinary Least Squares (OLS) regression produces one significant independent variable at α=5%, namely the percentage of deliveries assisted by medical personnel. Based on diagnostic tests, spatial dependence occurs at lag, indicating that the appropriate spatial regression model is the Spatial Autoregressive Model (SAR). However, a Spatial Error Model (SEM) is still used as a comparison. From these two spatial models, it is found that the significant independent variable affecting the IMR in the 22 regencies/cities in East Nusa Tenggara is the percentage of deliveries assisted by medical personnel. The weight used is queen contiguity. Based on R2 and AIC criteria, the best spatial regression model is the Spatial Autoregressive Model (SAR) because it has the highest R2 of 0.778282 and the smallest AIC of 132.518. For further research, it is recommended to consider local factors that may influence IMR, such as access to clean water, sanitation, educational level, electrification ratio, which may vary in each region.
Analisis Kekalahan Calon Petahana dalam Pemilihan Kepala Daerah di Kabupaten Flores Timur Tahun 2024: Studi terhadap Kekalahan Antonius Hubertus Gege Hadjon di Kecamatan Adonara Timur Flaviana Lidia Yuyun; Rex Tiran; Ambrosius Dedi A. Sinu
Terang : Jurnal Kajian Ilmu Sosial, Politik dan Hukum Vol. 2 No. 4 (2025): Desember : Terang : Jurnal Kajian Ilmu Sosial, Politik dan Hukum
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Hukum Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/terang.v2i4.1483

Abstract

This study is titled Analysis of the Incumbent's Defeat in the 2024 Regional Head Election in East Flores Regency (A Study of Antonius Hubertus Gege Hadjon's Defeat in East Adonara District), with the aim of analyzing the factors that led to the defeat of incumbent Antonius Hubertus Gege Hadjon in the 2024 Pilkada. This study uses Pierre Bourdieu’s political modality theory, including political, social, economic, and cultural capital. A qualitative approach with a descriptive method is employed, and data is collected through interviews with subjects consisting of the incumbent candidate, a religious leader, a youth leader, a community leader, two party representatives, and the success team. The study focuses on the support base in East Adonara District. The results of the study indicate that the incumbent's defeat was caused by the weakening of political capital, especially due to the vacancy in the regent’s position for two and a half years, which strengthened the opponent's position. This caused stagnation in public services and a decrease in the intensity of local government communication. In addition to these structural factors, weak internal party consolidation and public sentiment about uneven development also contributed to the defeat, indicating the incumbent's failure to manage his political capital amidst the dynamics of governance.
Hubungan antara Intensitas Kampanye Politik di Tiktok terhadap Elektabilitas Christian Widodo dan Serena Franxis pada Pilkada Kota Kupang Tahun 2024 Chaterine Viola Kehi; Syahrin B. Kamahi; Ambrosius Dedi A. Sinu
Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Vol. 3 No. 3 (2025): Vol. 3 No. 3 (2025): Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Volume 3 Nom
Publisher : PT PUSTAKA CENDEKIA GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pchukumsosial.v3i3.189

Abstract

Penelitian ini bertujuan untuk menganalisis hubungan antara intensitas kampanye Politik di Tiktok terhadap elektabilitas Christian Widodo dan Serena Francis pada Pilkada Kota Kupang Tahun 2024. Penelitian ini didasarkan pada teori pemasaran politik, yang memandang kampanye Tiktok sebagai saluran promosi digital untuk memengaruhi keputusan pemilih. Metode penelitian yang digunakan adalah kuantitatif ini menggunakan pendekatan survei terhadap 100 responden yang dipilih menggunakan kombinasi teknik Quota Sampling dan Purposive Sampling untuk menjamin keterwakilan wilayah dan relevansi kriteria pengguna TikTok. Hasil penelitian menunjukkan adanya hubungan yang signifikan secara parsial antara intensitas kampanye Tiktok terhadap elektabilitas. Hal ini dibuktikan dengan nilai signifikansi Uji T sebesar 0,046 (p < 0,05). Meskipun demikian, hasil koefisien determinasi (R2) menunjukkan bahwa kontribusi pengaruh intensitas kampanye tiktok terhadap elektabilitas hanya sebesar 4,0%, dengan sisanya sebesar 96,0% dipengaruhi oleh variabel lain di luar model penelitian yaitu citra, reputasi Christian Widodo dan Serena Francis yang sudah terbentuk jangka panjang, loyalitas pemilih terhadap partai politik, serta peran media sosial lain.
Co-Authors Chaterine Viola Kehi Elisabeth Brielin Sinu Flaviana Lidia Yuyun Rex Tiran Syahrin B. Kamahi