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HUBUNGAN KAUSAL ANTARA VARIABEL SOSIAL-EKONOMI, PERILAKU PERJALANAN TERHADAP LATEN DETERMINAN AKSEPTASI PUBLIK: STUDI KASUS PADA KORIDOR I TRANS KOETARADJA Sugiarto Sugiarto; Sofyan M. Saleh; Renni Anggraini; Cut Mutiawati; Khalida Surya
TERAS JURNAL Vol 9, No 1 (2019): Volume 9, Nomor 1, Maret 2019
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.842 KB) | DOI: 10.29103/tj.v9i1.166

Abstract

Abstrak Transportasi merupakan salah satu sektor yang mengalami kemerosotan seiring dengan laju pertumbuhan ekonomi masyarakat. Kemampuan masyarakat membeli kendaraan pribadi menjadi penyebab ketergantungan pada moda transportasi pribadi di Banda Aceh. Keterbatasan prasarana jalan dan tingginya permintaan perjalanan menyebabkan kemacetan dan naiknya angka kecelakaan. Strategi handal yang telah berhasil meminimalkan dampak negatif kemacetan adalah perpindahan dari moda transportasi pribadi ke moda umum. Langkah ini telah ditempuh di Jakarta dan dipromosikan/diterapkan di kota-kota lain di Indonesia, termasuk Banda Aceh yaitu Trans Koetaradja (TK). Untuk memastikan kebijakan ini tepat sasaran bagi pengguna/masyarakat maka kajian dari bawah (harapan masyarakat) perlu dilakukan guna menangkap dan merumuskan informasi-informasi penting dari para pengguna Trans Koetaradja. Oleh karena itu penelitian ini bertujuan untuk mengkaji persepsi masyarakat terhadap kebijakan TKdengan studi kasus pada koridor 1 (Pusat Kota – Darussalam). Metode pengambilan data yang digunakan adalah Stated Preference (SP) dengan jumlah 150 responden secara acak bertingkat (stratified random sampling). Kuesioner SP berisikan informasi tentang sosial-ekonomi, perilaku perjalanan, dan persepsi responden. Pemodelan yang digunakan adalah Multiple Indicators Multiple Causes (MIMIC) yang parameter regresinya dikalibrasi menggunakan software Lisrel 9.2.Hasil model empiris menunjukkan bahwa terdapat hubungan kausal yang signifikan antara variabel sosial-ekonomi, perilaku perjalanan terhadap laten determinan akseptasi publik kebijakan TK. Hasil menyimpulkan bahwa variabel laten sangat signifikan menentukan penerimaan kebijakan TK. Kata kunci: Trans Koetaradja, Persepsi, Indikator, Laten Variabel, MIMIC, Akseptasi  Abstract Transportation is one of the deteriorating sectors along with the economic growth in the society. The ability of people to purchase private vehicles is a major caused of private mode-dependency in Banda Aceh. The limitations of road infrastructure and the increasing demand to travel caused traffic congestion and increasing in the number of accidents. A well recognized policy that has succeeded in mitigating the negative impact of traffic congestion is shifting their means of transport from the private mode to the public transportation. This step has been taken in Jakarta and promoted and implemented in other cities in Indonesia, including Banda Aceh, namely Trans Koetaradja (TK). To ensure that this policy is effective for the public, a bottom up study is needed in order to capture and formulate important information from TK users. Therefore, this study aims to examine public perceptions in terms of public acceptance toward TK policy, and taken corridor 1 (City Center - Darussalam) as a case study. The data collection method used is the Stated Preference (SP) with a number of 150 respondents collected by using stratified random sampling. The SPquestionnaire contains information about socio-economics, travel behavior, and perceptions of respondents. The modeling used is the Multiple Indicators Multiple Causes (MIMIC) whose regression parameters are calibrated using Lisrel 9.2 software. The results of the empirical model show that there is a significant causal relationship among socio-economic variables, travel behavior and the latent determinants of public acceptability towards TK policy. The results conclude that latent determinants are crucially significant in determining the acceptance of TK policy. Keywords: Trans Koetaradja, Perception, Indicators, Latent Variables, MIMIC, Acceptability
Evaluasi Lokasi Rawan Kecelakaan Lalu Lintas Pada Ruas Jalan Nasional Kabupaten Aceh Timur Provinsi Aceh Muksalmina Muksalmina; Renni Anggraini; Cut Mutiawati
JURNAL TEKNIK SIPIL Vol 11, No 1 (2022): Volume 11 Nomor 1 Mei 2022
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v11i1.25186

Abstract

Abstract: Traffic accidents are the third leading cause of death in Indonesia, after heart disease and tuberculosis, according to the World Health Organization (2013). According to the East Aceh Police Traffic Unit, the number of traffic accident cases in the East Aceh region in 2020 was 446, the highest in the previous five years. As a result, the purpose of this study is to investigate the severity of traffic accidents on the black spot locations in National Road, East Aceh Regency. The Safety Index approach was used to determine the severity of the traffic accident. The top three highest safety indexes were reviewed after ranking the six locations of those highest accident cases. Field observations were conducted to determine the current infrastructure conditions at the three black spot locations. The findings showed that in the three accident-prone segment locations, a standard of signs, markings, and road geometric proportions is feasible. Jalan Desa Paya Demam Dua (Sta. 328+550), SI 0.80, Jalan Desa Blang Nie (Sta. 335+000), SI 0.78, and Jalan Desa Gampong Jalan (Sta. 366+420), SI 0.69 are the highways with the highest safety index. Since the SI value is approaching 1, the three roads are classified as risky. The three locations' signage capabilities are still lack, particularly on Jalan Desa Paya Demam Dua. Meanwhile, several road markings remain unfinished, particularly on Jalan Desa Gampong Jalan, which has no road markings. Based on the recommendations from this study, the local government needs to take action immediately so that the number of traffic accidents can be reduced.Keyword: Deficiency, Road Safety, Infrastructure, Safety Index, Volume, Accident Abstrak: Menurut World Health Organization (2013), kecelakaan lalu lintas di Indonesia dinilai menjadi pembunuh terbesar ketiga setelah penyakit jantung koroner dan Tuberculosis. Satlantas Aceh Timur mengungkapkan bahwa jumlah kasus kecelakaan lalu lintas di wilayah Aceh Timur tahun 2020 sebanyak 446 kasus. Kasus tersebut merupakan yang tertinggi selama lima tahun terakhir (2016-2020). Oleh karena itu, penelitian ini bertujuan untuk mengetahui angka safety index kecelakaan di lokasi black spot Jalan Nasional Kabupaten Aceh Timur. Metode yang digunakan untuk mengidentifikasi tingkat keparahan kecelakaan menggunakan metode Safety Indeks. Setelah dilakukan perangkingan pada enam lokasi dengan kasus kecelakaan tertinggi, didapat tiga segmen dengan angka indeks keselamatan tertinggi. Selanjutnya dilakukan observasi lapangan untuk mengidentifikasi kondisi eksisting infrastruktur pada ketiga lokasi black spot tersebut. Hasil yang diperoleh dari penelitian ini merupakan hasil analisis deskriptif yang menunjukkan standar perambuan, marka serta ukuran geometrik jalan pada ketiga lokasi segmen rawan kecelakaan. Urutan jalan yang memiliki safety index tertinggi adalah sebagai berikut: Jalan Desa Paya Demam Dua (Sta. 328+550), SI  0,80, Jalan Desa Blang Nie (Sta. 335+000), SI 0,78, dan Jalan Desa Gampong Jalan (Sta. 366+420), SI 0,69. Ketiga jalan tersebut dikategorikan berbahaya karena nilai SI mendekati angka 1 (Satu). Fasilitas perambuan pada ketiga lokasi belum sepenuhnya lengkap sehingga perlu adanya penambahan terutama pada Jalan Desa paya Demam Dua. Sementara marka jalan juga masih banyak yang belum terpenuhi terutama pada Jalan Desa Gampong Jalan yang sama sekali tidak memiliki marka pembatas jalan. Berdasarkan rekomendasi yang diberikan pemerintah setempat perlu melakukan perbaikan sehingga angka kecelakaan lalu lintas dapat berkurang.Kata kunci : Defisiensi, Keselamatan Jalan, Infrastruktur, Indeks keselamatan, Volume, Kecelakaan
Using psychometric data from the stated preference (SP) experiments to search explanatory power for appropriateness of congestion charging policy Sofyan M. Saleh; Sugiarto Sugiarto; Cut Mutiawati; Renni Angraini; Muhammad Isya
Aceh International Journal of Science and Technology Vol 5, No 3 (2016): December 2016
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (582.353 KB) | DOI: 10.13170/aijst.5.3.5741

Abstract

Comprehensive stated preference (SP) experiment was conducted in Jakarta (a capital of Indonesia), where proposal for congestion charge (CC) has been considered as a way to reduce acute traffic congestion. With the government planning a CC scheme, public support is regarded as a prerequisite for its implementation. Therefore, a framework of structural equation model (SEM) is used to search explanatory power for the appropriateness of CC considering unobserved variable (latent variable) from psychometric data obtained from SP questionare.  Causal paths among psychological determinants and their strength are measured and analyzed along with proposal acceptability from a psychological perspective. The findings from analysis with a SEM approach shows that a number of psychological determinants provide an explanation for the acceptability of the proposed scheme. The findings from analysis with a SEM approach shows that a number of psychological determinants provide an explanation for the appropriateness of the proposed scheme. Latent variables representing the validity of the CC scheme, such as ACE, APC and REC appear to have a significant explanation. These emerge as psychological determinants contributing a positive correlation with enhancement of appropriateness CC policy. Empirical result further shows that males have positive scores for the latent variables of car dependency (CDC) and inhibition freedom of movement (IFM). Furthermore, the variable of annual income, it has a positive correlation with recognition of the effects of CC in mitigating congestion and environmental problems (REC), car dependency (CDC) and awareness of the problems of cars in society (APC). This means that respondents with higher incomes are more concerned with the problems manifested by motorization while, on the contrary, the path coefficient between annual income (AI) and car dependency (CDC) has a value of 0.270. This discloses an automobile dependency. These findings should provide insight that designing a more acceptable policy in respecting to the acceptance of public in large.