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TINJAUAN IMPLEMENTASI TEORI PERENCANAAN DALAM PENYUSUNAN DOKUMEN STRATEGI SANITASI KABUPATEN BENER MERIAH Suek, Jonathan Badawi Wempi; Arbani, Inggar Rayi; Gayo, Andhyka Putra Arie
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 11 No 3 (2024)
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v11i3.1156

Abstract

The Regency Sanitation Strategy (RSS) document represents the government's initiative to address the consequences of market failure resulting from insufficient sanitation services, that lead to environmental pollution and a decline in public health. This failure has hindered the attainment of the universal access target (100-0-100), characterized by shortcomings in environmental quality, health, and community welfare in Bener Meriah Regency. This study aims to assess the application of planning theory in formulating RSS documents in Bener Meriah Regency. The research employed methods such as document review, interviews, stakeholder mapping, and qualitative descriptive analysis of interview findings. The outcomes include identifying stakeholders, planning approaches, the role of planners, and uncovering weaknesses and ethical issues in the planning process. Conclusions drawn from the discussion are: 1) Six key actors are involved in preparing the RSS document; 2) Various approaches, including mixed scanning, comprehensive rationale, advocacy planning, and collaborative planning, are employed in the RSS preparation process in Bener Meriah; 3) All planning roles play a part in the RSS preparation process; and 4) Weaknesses in the document preparation process encompass inadequate data quality, unrealistic aspects of funding and human resources, and limited engagement of external stakeholders.
Trip Attraction Rate Estimation Using Open Data Sources for Smart Transportation Planning Perdana, Ahmad Baikuni; Izdihar, Rakan Pramoe; Suek, Jonathan Badawi Wempi
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 11, No 2 (2024): Juli
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v11i2.1386

Abstract

 Trip Attraction Rate (TAR) serves as a load factor utilized in aggregate transportation modeling. Conventional estimation consumes a lot of time and manpower for field surveys. Meanwhile, open data sources, such as Google Maps, offer an alternative approach to conducting a survey. The popular times feature from Google Maps can estimate coffee shop TAR in the city of Bandung. This study focuses on coffee shops in Bandung City. Data was collected using web scraping techniques on Google Maps and produced a sample size of 377 data points after the validity and reliability processes. Subsequently, multiple linear regression was employed to estimate TAR. The findings reveal that variables like building area and distance to public transportation hubs influence TAR simultaneously. Moreover, our approach could also distinguish TAR between weekdays (0.13 people/m2/hour) and weekends (0.14 people/m2/hour) in Bandung City. This result challenges the usage of Institute of Transportation Engineers (ITE) standards, which is often due to limitations of time and workforce in conducting surveys for TAR estimation. The difference in values indicates the need to estimate specific TAR for each city in Indonesia rather than relying on ITE values, and the proposed approach to using open data sources will shorten the estimation process.