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Surtia Bachtiar, Vera
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Analisis Dan Rekayasa Kebisingan Akibat Aktivitas Alat Transportasi Kereta Api Pada Permukiman (Studi Kasus: Jalur Kereta Api Stasiun Alai-Air Tawar) Filzah Asri, Alifia; Surtia Bachtiar, Vera; Ayu Lestari, Resti; Ridwan, Ridwan
Dampak Vol. 22 No. 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/dampak.22.1.19-35.2025

Abstract

Domestic wastewater management on university campuses is a crucial aspect of supporting sustainable development. As a center of academic and non-academic activities, Universitas Andalas produces a significant volume of domestic wastewater from the daily activities of its 31,549 academic community members as of 2023. One of its key facilities is the Shared Lecture Building complex, consisting of 10 buildings (A–J), which applies a separated wastewater management system: greywater from floor drains and washbasins is discharged directly into the nearest drainage, while blackwater from toilets is channeled into septic tanks. Currently, Universitas Andalas lacks comprehensive data and planning related to its Domestic Wastewater Management System (SPALD), despite Government Regulation No. 22 of 2021 requiring domestic wastewater to be safely treated before discharge into water bodies. This study aims to evaluate and provide recommendations for an effective and efficient SPALD, specifically for the Shared Lecture Buildings. The method used involves field observations to collect data on the existing conditions. The results show that of the 19 septic tanks observed, 36.84% did not meet vent pipe requirements, 21.05% did not follow the appropriate desludging interval, and 42.11% lacked inspection openings. Furthermore, the effluent from these septic tanks is directly discharged into drainage channels without further treatment, posing a risk of contamination to surrounding water bodies and groundwater. This study is expected to serve as a basis for improving septic tank systems in accordance with SNI 2398:2017, so that wastewater management at Universitas Andalas can operate more optimally and sustainably. Keyword: domestic wastewater; blackwater; greywater; SPALD; Universitas Andalas
Analisis Data Variabel Iklim Mikro Dengan Menggunakan Statistik Deskriptif (Studi Kasus Pemukiman Kelurahan Kampung Lapai Kecamatan Naggalo Padang) Nelvidawati; Surtia Bachtiar, Vera
Dampak Vol. 22 No. 2 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/dampak.22.2.83-95.2025

Abstract

Urban areas are vulnerable to the urban heat island (UHI) phenomenon. The analysis of microclimate parameters is one of the important steps to understanding environmental dynamics on a local scale. This study aims to analyze microclimate parameters such as temperature, humidity, wind speed, heat intensity of sunlight, and rain intensity measured for 5 (five) consecutive days. The analysis carried out was a descriptive statistical analysis. The analysis of the concentration of variable temperature and high sunlight intensity data resulted in urban heat islands in residential areas because the roofs used were zinc. Zinc could absorb heat, increasing the temperature during the day if it is not raining. The sun's intensity began to peak from 09.00 WIB to 12.00 WIB. The occurrence of rain can reduce the temperature and intensity of sunlight and increase humidity so that there are no urban heat islands in residential areas that can affect thermal comfort. Other microclimate variables, such as wind speed and rainfall, do not have an impact because wind speed is relatively slow and rainfall is moderate. The analysis of the data spread seen from the standard deviation shows that the data tends to be homogeneous. Large data ranges occurred at the variables of temperature, humidity, and sunlight intensity, showing significant variations. Wind speed and precipitation have a small range, indicating the weather's stability at the observation site at the time of measurement. The average population estimated to have a confidence level of 95% is almost the same as the average sample, indicating that the data obtained is close to the actual condition.