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Potential Noise Intensity from Heavy Equipment during the Construction Phase of the Campus in Surabaya: Potensi Intensitas Kebisingan Dari Alat Berat pada Tahap Konstruksi Kampus di Kota Surabaya Afif Rasendriya Haryu; Galang Eigy Hermawan; Tuhu Agung Rachmanto
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 10 No. 3 (2026): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v10i3.541

Abstract

Educational facilities are one of the public service facilities in developing and improving the quality of human resources. Over time, educational facilities continue to experience improvements, one of which is the campus. Campus improvements are inseparable from the development process that will have an impact on the surrounding environment. One of the impacts is noise. Noise if not handled properly will disrupt activities and public health. This study aims to identify the heavy equipment used in the construction phase of the XYZ campus, estimate the noise levels generated and received by receptors and plan appropriate impact management for the local community. The study method is a qualitative descriptive analysis with the data used in the form of primary and secondary data. Data analysis is in the form of mathematical calculations and comparisons with noise quality standards. The heavy equipment used are trucks, excavators, dozers, and cranes. The results of the estimated noise level received by receptors in the mobilization-demobilization activities of heavy equipment & materials are 73.25 dB(A), land preparation is 73.85 dB(A), and building construction work is 75.85 dB(A). According to the Minister of State for the Environment Decree No. 48 of 1996, the noise intensity of the three construction activities slightly exceeds the residential quality standards. Management or mitigation measures have been planned, including limiting operating hours, installing fences at least 2 meters high, and regular heavy equipment maintenance. After management, the estimated noise levels received by the receptors for each activity are 55.55–58.15.
Evaluation Of Management And Monitoring Of Ambient Air Quality (TSP, PM10, PM2.5) At Bioethanol Industry : Evaluasi Pengelolaan Dan Pemantauan Kualitas Udara Ambien (TSP, PM₁₀, PM₂.₅) Pada Industri Bioetanol Galang Eigy Hermawan; Afif Rasendriya Haryu; Tuhu Agung Rachmanto
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 10 No. 3 (2026): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v10i3.546

Abstract

The bioethanol industry, as one of the renewable energy sectors, has the potential to impact ambient air quality due to production activities, operational processes, and vehicle mobilization. This study aims to evaluate the management and monitoring of ambient air quality based on TSP (Total Suspended Particulate), PM₁₀ (Particulate Matter 10 mm), and PM₂.₅ parameters in the bioethanol industry. A quantitative approach with descriptive analysis was applied through ambient air measurements at four monitoring points, namely the process area, the eastern boundary area near residential settlements, the village residential area, and the access road area. The monitoring results for Semester I and Semester II of 2025 showed that all PM₁₀ and PM₂.₅ parameters were below the quality standards established in Government Regulation of the Republic of Indonesia Number 22 of 2021 Appendix VII. TSP concentrations also complied with the quality standards, although the highest values were found in the access road area and areas near residential settlements due to operational vehicle activities and road dust. In Semester II of 2025, particulate concentrations decreased at all monitoring points. These conditions indicate that environmental management efforts, such as the optimization of Green Open Space (RTH), maintenance of operational equipment, and periodic monitoring, have been sufficiently effective in maintaining ambient air quality around the bioethanol industry.