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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik Lingkungan Jurnal Impresi Indonesia
Maulidiany, Nopa Dwi
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Religion Agriculture, Biological Sciences & Forestry Humanities Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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INVESTIGASI TEKNIK “CLUSTERING” DALAM METODE PERHITUNGAN EMISI SECARA TOP-DOWN DARI INDUSTRI SEMEN Maulidiany, Nopa Dwi; Tomo, Haryo S.
Jurnal Teknik Lingkungan Vol 18, No 1 (2012)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.722 KB) | DOI: 10.5614/jtl.2012.18.1.7

Abstract

Abstrak: Industri semen sering dipertimbangkan sebagai salah satu industri kunci yang cenderung mencerminkan aktivitas ekonomi secara umum suatu negara. Di Indonesia industri semen juga termasuk dalam industri lahap energi yang memberikan kontribusi melepas pencemar udara yang cukup banyak ke udara ambien. Sumber emisi pencemar udara pada proses pembuatan semen Portland dikategorikan menjadi dua yaitu, sumber emisi  dari  proses  produksi  (tanpa  pembakaran) dan  sumber  emisi  dari  proses  pembentukkan  energi  dari pembakaran bahan bakar untuk kebutuhan produksi. Pada proses produksi pembuatan semen, terdapat tiga proses utama yang dikategorikan menghasilkan pencemar udara, yaitu : persiapan bahan baku, pembuatan klinker di kiln, dan pembuatan semen itu sendiri. Pada penelitian ini dilakukan perhitungan inventarisasi emisi dari sektor industri semen dengan parameter CO, NOx, SOx, dan PM. Untuk mendapatkan data mendetail yang dibutuhkan dalam inventarisasi emisi dilakukan metode clustering. Prinsip teknik clustering adalah membagi beban emisi dari sumber titik menjadi sumber area. Dasar pembagiannya adalah satuan wilayah terkecil dengan proporsi terbesar pada daerah yang terdapat industri pembuatan semen. Untuk mengetahui signifikansi data yang digunakan untuk teknik clustering maka dilakukan uji ANOVA.Kata kunci: Industri semen, Indonesia, emisi pencemar udara, clustering, ANOVA. Abstract: Cement industry is often considered as one of the key industries that tend to reflect the economy activity of a country. In Indonesia, cement industry is included as one of hunger energy industries that contribute enough emit air pollution to ambient. Sources of air pollutant emissions in the production of Portland cement generally are categorized into two categories, the source of emissions from the production process (without combustion) and the source of emissions from fuel combustion for production energy needs. There are three maincategorized that generate air pollutants in the production process of cement manufacture: preparation of raw materials, clinker making in the kiln, and cement-making itself. This research calculates the emissions inventory from cement industry with the parameters are CO, NOx, SOx, and PM. To obtain  the  data  required  for  detailed  emissions inventory  conducted clustering method. The  principle of clustering techniques is to divide the load emissions from point sources into the source area. Basically, the division is a unit of the smallest region with the largest proportion which located the cement manufacturing industry. To know the significance of the data used for clustering technique, this research performs ANOVA test.Key words: Cement Industry, Indonesia, pollutant emission, clustering, ANOVA.
Model-Based Assessment of Heavy Metals Leaching Behavior in Wasted Activated Sludge Utilization Maulidiany, Nopa Dwi; Oktovidonna, Sabina Adwina; Rastandi, Jessica Dorothea; Lokahita, Baskoro; Abdillah, Ayik
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 22, No 1 (2025): March 2025
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v22i1.143-156

Abstract

Advanced sludge treatment remains a critical challenge as global wastewater production increases, with waste-activated sludge (WAS) posing ecological and health risks due to heavy metal accumulation. This study characterized WAS based on solid parameters and metal content, focusing on As, Cd, Cr, Cu, Fe, Pb, Ni, Mg, Mn, and Zn, which exceed organic fertilizer thresholds. Using Visual MINTEQ, heavy metal leaching behavior was modelled under pH-independent and pH-dependent conditions. The pH-independent simulation identified As as the least leachable metal (2.166 × 10⁻¹³ mgAs/L) and Cu as the most leachable (1.261 × 10⁻⁴ mgCu/L). The pH-dependent simulation (pH 1.5–13.5) revealed significant leaching for Fe (21.777 mgFe/L) and Cu (1.98 ×10-3 mgCu/L), with Ni (0.120 mgNi/L) and Pb (2.7 × 10-4 mgPb/L) posing chronic risks to aquatic ecosystems. Metals like Cr, Cd, and Ni exhibited distinct leaching patterns influenced by pH and WAS composition. The findings highlight the critical role of pH, along with WAS composition, in governing heavy metal leaching, providing insights to mitigate risks and support sustainable sludge management practices.
Effect of Hydraulic Retention Time on Food Chain Reactor (FCR) Performance in Industrial Wastewater Treatment Gardana, Rivelino; Mikhael, Magenta; Maulidiany, Nopa Dwi; Wandi, Asep
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i3.57832

Abstract

Industrial estate wastewater treatment presents significant challenges due to its complex composition. Food Chain Reactor (FCR) technology has been implemented in several wastewater treatment plants (WWTPs) in industrial estates across Indonesia as a promising solution for the removal of organic compounds, nutrients, and heavy metals. However, there is limited research on the optimization of FCR performance. This study aims to evaluate the optimal hydraulic retention time (HRT) for FCR by assessing its efficiency in removing COD, ammonia, phosphate, and nickel from industrial estate wastewater. A 60 L lab-scale FCR reactor was tested under HRT variations of 12, 16, and 24 hours. The pollutant removal efficiencies ranged from 86.16% to 90.79% for COD, 77.92% to 88.96% for ammonia, 54.76% to 63.09% for phosphate, and 40.83% to 51.99% for nickel. The 12-hour HRT achieved the highest COD removal efficiency (90.79% ± 1.59%), while the variation in HRT had minimal influence on ammonia, phosphate, and nickel removal. ANOVA results confirmed a highly significant effect of HRT on COD removal (p < 0.0001), while the removal efficiencies for ammonia, phosphate, and nickel were not significantly affected (p > 0.05). These findings suggest that FCR technology is highly effective for COD removal at shorter HRTs, but further optimization is needed for more efficient removal of nutrients and heavy metals.
Characterization of Microplastics at Grey Water Wastewater Treatment Plant in South Jakarta City Setiawan, Panca Hadi Arief; Naurelia, Kintan Akila; Adityosulindro, Sandyanto; Maulidiany, Nopa Dwi; Pratama, Mochamad Adhiraga
Jurnal Impresi Indonesia Vol. 4 No. 5 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i5.6525

Abstract

Microplastics (MPs) are <5 mm synthetic polymer particles that are emerging contaminants and have been found widely in various water bodies. Wastewater treatment plants (WWTPs) play an important role in containing the release of MPs into the environment, but studies on the effectiveness of greywater-based WWTP, especially in dense urban areas such as Jakarta, are still limited. This research was conducted on a greywater WWTP with Moving Bed Biofilm Reactor (MBBR) technology in South Jakarta to analyze the abundance, efficiency of dispensation, and characteristics of microplastics based on shape, color, size, and material. Samples were taken from five points on weekdays and holidays, analyzed using NOAA methods and FTIR spectroscopy. The abundance of MPs at the inlet reached 942 particles/L (weekdays) and 675 particles/L (holidays), while at the outlet there were 290 particles/L and 211 particles/L, resulting in a dispensing efficiency of 69%. Five types of MPs (foam, fragment, fiber, film, microbead) were found with color variations (white-transparent, yellow, red, blue, green, black), as well as the content of PVFM, PVB, PVA, silicone, and POM polymers. This study contributes to the understanding of the distribution and character of MPs in greywater treatment systems that are still rarely explored, as well as supporting the development of mitigation strategies based on WWTP technology
Co-Authors Abdillah, Ayik Adityosulindro, Sandyanto Gardana, Rivelino Lokahita, Baskoro Mikhael, Magenta Naurelia, Kintan Akila Oktovidonna, Sabina Adwina Pratama, Mochamad Adhiraga Rastandi, Jessica Dorothea Setiawan, Panca Hadi Arief Tomo, Haryo S. Wandi, Asep