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Treatment of Mixer Truck Wash Water of a Ready-mix Concrete Batching Plant Using a Low Cost Modified Sand Filter: Pengolahan Air Cucian Truk Mixer Pabrik Beton Siap Pakai Menggunakan Modifikasi Filter Pasir Berbiaya Rendah YENNI CIAWI; I PUTU GUSTAVE SURYANTARA PARIARTHA; AYUB BENNY KRISTIANTO
Jurnal Teknologi Lingkungan Vol. 23 No. 1 (2022)
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (520.419 KB) | DOI: 10.29122/jtl.v23i1.5023

Abstract

ABSTRAK Pembangunan infrastruktur dan perumahan membutuhkan beton dalam jumlah besar, yang sebagian dipasok oleh pabrik beton siap pakai. Tingginya kebutuhan air dan produksi air limbah oleh industri ini menyebabkan masalah lingkungan yang signifikan. Sebuah pabrik beton di Bali mengolah air limbahnya dengan lima kolam sedimentasi sederhana yang dilengkapi dengan saringan ijuk antar kolam dan kemudian air hasil olahan dibuang ke hutan bakau di sekitarnya. Meskipun nilai Chemical Oxygen Demand (COD) telah diturunkan dari 316,149 mg/L menjadi 146 mg/L, air limbah ini masih berpotensi merusak biota hutan bakau. Padahal, air bisa didaur ulang untuk membersihkan peralatan atau bahkan menjadi air proses. Penelitian ini bertujuan merancang proses pengolahan yang sederhana dan murah beserta peralatannya. Air limbah yang berasal dari bak pengendapan di pabrik beton siap pakai diolah di laboratorium menggunakan tawas tetapi hasilnya tidak memuaskan sehingga dipilih metode fisika dengan menggunakan kolam sedimentasi dan saringan pasir lambat yang dimodifikasi, dan berhasil menurunkan nilai COD sebesar 82,83% pada pH 12,27 dan mendaur ulang 84% air limbah atau 26,7% kebutuhan air total industri ini. Kata kunci: pengolahan air limbah, beton siap pakai, desain bangunan, daur ulang air   ABSTRACT Infrastructure and housing developments require vast quantities of concrete, which are supplied by the ready-mix concrete (RMC) batching plant. This industry's high water demand and wastewater generation have caused significant environmental problems. An RMC batching plant in the southern part of Bali produces liquid waste, which is disposed of into the surrounding mangrove forests after being treated using five sequential unlined wash water ponds and palm fibre. Although the COD value has been decreased from 316.149 mg/L of untreated wastewater to 146 mg/L after treatment, this still has the potential to harm the mangrove biota. On the other hand, the water can still be reclaimed for cleaning purposes or even incorporated into process water. The work aims to design a low cost and simple wastewater recycling process and equipment. Wastewater was collected from the existing settling basin at the RMC batching plant and treated in the laboratory. It was found that the chemical treatment of wastewater using alum did not produce satisfactory results; therefore, a physical method was chosen by employing a sedimentation pond and a modified slow sand filter. It removed 82.83% of the COD at pH 12.270 and reclaimed 84% wash water or 26.7% of total water needed for this industry. Keywords: wastewater treatment, ready-mix concrete, building design, water recycles
THE FUNCTION OF NDWI AND NDTI IN DIFFERENTIATING THE CHARACTERISTICS OF WATER AREAS BASED ON SENTINEL 2 IMAGERY Astiti, Sagung Putri Chandra; Dharma, I Gusti Bagus Sila; Pariartha, I Putu Gustave Suryantara; As-Syakur, Abd. Rahman
Jurnal Sains Riset Vol 14, No 2 (2024): September 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsr.v13i2.2640

Abstract

Penggunaan teknologi penginderaan jauh dengan data citra satelit sebagai media utama telah banyak digunakan dalam menganalisis data yang diperoleh menggunakan alat tanpa kontak langsung dengan objek, fenomena, atau area yang sedang dipelajari. Salah satu data citra satelit yang dapat diakses secara gratis dan resmi adalah data citra Sentinel-2 MSI (Multi-Spectral Instrument), yang merupakan data yang dikembangkan oleh Badan Antariksa Eropa (ESA). Data citra Sentinel-2A yang digunakan dalam penelitian ini terbagi menjadi 2 level data, yaitu Level 1C dan Level 2A. Perekaman data pada citra Sentinel-2A yang digunakan dalam penelitian ini menggunakan berbagai data musiman yang berbeda, termasuk musim peralihan dari musim kemarau ke musim hujan pada Oktober 2018, musim hujan pada November 2020, dan musim kemarau pada April 2022. NDWI digunakan untuk menganalisis area perairan dan non-perairan, sedangkan NDTI digunakan untuk menganalisis kekeruhan air. Hasil analisis menunjukkan bahwa nilai NDWI pada tahun 2018 dan 2020 berkisar dari nilai terendah -0,82 hingga nilai tertinggi 0,79. Hasil analisis pada tahun 2022 menunjukkan bahwa nilai NDWI berada dalam rentang nilai terendah -0,87 dan nilai tertinggi 0,99. Hasil analisis nilai NDTI pada tahun 2018 berkisar dari rentang nilai terendah -0,51 hingga nilai tertinggi 0,45. Hasil analisis nilai NDTI pada tahun 2020 berkisar dari nilai terendah -0,62 hingga nilai tertinggi 0,43. Hasil analisis NDTI pada tahun 2022 berkisar dari nilai terendah -0,72 hingga nilai tertinggi 0,43
Manajemen Risiko Kesehatan, Keselamatan, Kerja dan Lingkungan (K3L) pada Proyek Pembangunan Embung Tukad Unda Provinsi Bali Suryawan, M. Alit; Sutarja, I Nyoman; Pariartha, I Putu Gustave Suryantara
Jurnal Talenta Sipil Vol 8, No 2 (2025): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v8i2.982

Abstract

The construction work of the Tukad Unda Reservoir is located in a former sand quarry area characterized by water-filled pits and unstable coral aggregates. This area also serves as a lahar flow path during eruptions of Mount Agung, which remains active. This condition was identified through geological and geotechnical sampling tests. The aim of this study is to analyze the Occupational Health, Safety, and Environment (HSE) risks that can be identified in this project. Data were collected through interviews, brainstorming sessions, and field observations. Risk coefficients were scored based on risk acceptability. The assessment focused on dominant risks that require management actions, specifically those categorized as “high” and “very high” risk levels. The final identification results revealed a total of 75 risks based on the type of work, consisting of 28 risks (37%) in sub-structural work, 41 (55%) in structural activities, and 6 (8%) in architectural activities. Based on the sources of risk, 26 risks (35%) originated from equipment, 27 (36%) from materials, and 22 (29%) from environmental factors. In terms of impact targets, 64 risks (85%) affect humans, 10 (13%) affect both humans and the environment, and 1 (1%) affects the environment alone. Based on the analysis using the AS/NZS 4360:2004 standard, 17 risks (23%) were classified as low risk, 39 (52%) as medium risk, and 19 (25%) as high risk. Risk ownership was predominantly allocated to the contractor's HSE supervisors (56%), followed by site managers (35%) and technical staff (9%). It is recommended that competent and authorized personnel at the project site conduct safety briefings before commencing any work activities to minimize the potential for unwanted incidents. Workers are also advised to pay more attention to occupational health and safety by wearing appropriate personal protective equipment (PPE) and complying with all established regulations and standard operating procedures (SOPs).
Rainfall Data as an Indicator of Climate Change (Case Study: Kuta District, Badung Regency) Yasa, I Putu Bagus Reka Sugita; Pujianiki, Ni Nyoman; Pariartha, I Putu Gustave Suryantara
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.941

Abstract

Climate change is a global issue that has a clear impact on rainfall patterns, especially in coastal areas. This study examines rainfall changes in Kuta District, Badung Regency, using CHIRPS satellite data from 1981 to 2024. The validity of CHIRPS data was confirmed by comparing it with data from the Ngurah Rai meteorological station (1 station; 1981–2020 period; monthly scale) by matching the CHIRPS grid to the station location. The validation showed a high level of accuracy (r = 0.934; R² = 0.878), thus proving the reliability of CHIRPS as a data source. Trend analysis using the Mann-Kendall test, along with Sen's slope calculation (+7.92 mm/year; 95% CI), showed a statistically significant increase (p < 0.05). Furthermore, trend testing on the extreme rainfall intensity index (R50mm, RX1day) revealed an increase in the frequency of heavy rainfall after 2019, which was confirmed by indications of abrupt changes based on the Pettitt test. The results of this study align with scientific publications and climate change projections in tropical regions. These findings emphasize the importance of monitoring using remote sensing technology in areas with limited rain gauge stations. These findings imply the need to formulate adaptation strategies related to hydrometeorology and improved water resource management.