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All Journal IJEEM - Indonesian Journal of Environmental Education and Management Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG)
Maolani, Rukaesih Achmad
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Other

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Klasifikasi Sifat Cidera Kecelakaan berdasarkan Karakteristik Masyarakat di Jakarta Sarinah, Sarinah; Addini, Fida Fathiyah; Agusinta, Lira; Haryanto, Dwi; Maolani, Rukaesih Achmad; Abdurachman, Edi
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol. 11 No. 3 (2024): NOVEMBER
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v11i3.1450

Abstract

Traffic accidents are one of the biggest causes of death in Indonesia. Traffic accidents could occur due to various factors such as human factors, facilities, infrastructure, and the environment. These factors are seen as causes of traffic accidents. Furthermore, the impacts experienced due to traffic accidents are not always the same. Someone could be injured or even die. This impact is seen as the nature of an accident injury. This research analyzes and models the relationship between the nature of traffic accident injury variables and the variables causing traffic accidents. The data used in this research is 12,353 traffic accident data in DKI Jakarta from 2020 to 2021. The analysis was carried out using two main methods, namely the chi-square test to determine the existence of a relationship between variables and an ordinal logistics regression model to model the influence of variables causing traffic accidents on variables of the accident injuries nature. Based on the chi-square test, there is a significant relationship between the level of traffic injury and the factors of age, gender, type of work, time and location of the incident. However, there is no significant relationship between the level of the traffic injury and the day of the incident. Variables that are significantly related are then created as an ordinal logistics regression model equation. The results show that the injury level could be predicted based on the causal factors with 92.45% accuracy in classifying the level of the injury.
Analisis Konten Promosi Produk Asuransi yang Memberi Kesan Positif Terhadap Pelanggan Alvernia Kurniartha; Dalimunthe, Achmad Sudiyar; Maolani, Rukaesih Achmad; Situmorang, May Rista
IJEEM - Indonesian Journal of Environmental Education and Management Vol. 11 No. 1 (2026): IJEEM: Indonesian Journal of Environmental Education and Management Volume 11
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/ijeem.v11i1.66504

Abstract

Penelitian ini bertujuan untuk menganalisis konten promosi produk asuransi yang berkontribusi terhadap pembentukan kesan positif pelanggan. Relatif rendahnya tingkat literasi dan penetrasi asuransi di Indonesia menunjukkan perlunya strategi komunikasi promosi yang efektif, transparan, dan mudah dipahami oleh masyarakat. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei yang melibatkan 100 responden di wilayah DKI Jakarta. Data dikumpulkan melalui kuesioner terstruktur dan dianalisis menggunakan teknik statistik. Hasil penelitian menunjukkan bahwa konten promosi yang bersifat informatif, edukatif, transparan, menekankan manfaat produk, menonjolkan kemudahan proses klaim, didukung tampilan visual yang menarik, serta disertai social proof berpengaruh signifikan terhadap pembentukan kesan positif pelanggan. Temuan ini menegaskan pentingnya komunikasi promosi yang berorientasi pada pembangunan kepercayaan dalam industri asuransi serta memberikan kontribusi empiris bagi perusahaan asuransi dalam merancang strategi promosi yang lebih efektif guna meningkatkan kepercayaan pelanggan dan persepsi publik terhadap produk asuransi.
Co-Authors Addini, Fida Fathiyah Agusinta, Lira Alvernia Kurniartha Dalimunthe, Achmad Sudiyar Dwi Haryanto Edi Abdurachman Sarinah Sarinah Situmorang, May Rista