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Community Satisfaction with Online Transportation in Tegal Satria, Muhammad Hanif; Saragi, Reza Christian; Perdana, Tegar Putra Adi; Brilianti, Dani F.
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 3 No. 4 (2024): Vol. 3 No. 4 2024
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v3i4.551

Abstract

This research aims to increase the level of online transportation customer satisfaction in Tegal, a large city in Indonesia. To achieve this, this research investigates the factors that influence online transportation customer satisfaction. This research uses mixed methods with interview and questionnaire data collection techniques. Valid data test results and research findings show that overall, online transportation users from the people of Tegal City are happy with the services they receive. The things that make customers happy are service quality, service accessibility and availability, and safety and comfort. By analyzing local customer perceptions and expectations, this research provides insight for online transportation companies to improve service quality and better meet the needs of the Tegal community.
Analisis Pengaruh Nilai Surface Distress Index (SDI) Terhadap Kecepatan Kendaraan di Jalan Kolonel Sudiarto Kota Tegal Hadi, Suprapto; Ulhaq, Dhiya; Basfian, Muhammad Fahri; Satria, Muhammad Hanif; Vijayo, Charrly Dittha
Jurnal Konstruksi dan Infrastruktur : Teknik Sipil dan Perencanaan Vol 14 No 1 (2026): Jurnal Konstruksi dan Infrastruktur Vol 14 No.1 : April 2026
Publisher : Civil Engineering Department, Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jki.v14i1.11297

Abstract

Understanding how pavement surface conditions influence operating speed is essential for improving road safety and optimizing urban traffic performance. This research investigates how pavement surface deterioration represented by the Surface Distress Index (SDI) influences vehicle operating speeds along Kolonel Sudiarto Street, a key urban roadway in Tegal City. A quantitative descriptive method was employed, in which pavement conditions were evaluated using the SDI framework, and vehicle speeds were obtained through space mean speed (SMS) measurements. A total of 358 vehicle samples were examined through simple linear regression to quantify the influence of SDI on motorcycle and passenger car operating speeds. The findings reveal a strong and statistically significant negative association between SDI and motorcycle speed (R² = 0.947), demonstrating that higher levels of pavement distress markedly decrease motorcycle operating speeds. In contrast, the relationship between SDI and car speed is weak and not statistically significant (R² = 0.064), suggesting that car speeds are influenced more by traffic dynamics and vehicle stability than by pavement surface deterioration. Combined regression simulations further demonstrate that motorcycles are markedly more sensitive to incremental surface distress. These findings affirm the relevance of SDI as a key indicator for evaluating pavement performance and predicting speed behavior, emphasizing the need for timely maintenance interventions to support safer and more efficient urban road operations.