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All Journal Jurnal Lahan Suboptimal Kultivasi Jurnal Ilmiah Universitas Batanghari Jambi IJEMS (Indonesian Journal of Environmental Management and Sustainability) Elektriese: Jurnal Sains dan Teknologi Elektro SLUMP TeS : Jurnal Teknik Sipil
Anggrika Riyanti, Anggrika
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health

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Removal of Organic Pollutant from Industrial Rubber Wastewater Using Pineapple Crown Bio-Adsorbents Fitria, Riska Rahmah Dani; Riyanti, Anggrika; Hadrah; Marhadi; Nazarudin; Sisca Afrilia Silalahi
Indonesian Journal of Environmental Management and Sustainability Vol. 10 No. 1 (2026): March
Publisher : Magister Program of Material Science, Graduate School of Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/ijems.2026.10.1.60-69

Abstract

Industrial rubber wastewater contains high levels of organic substances (proteins, carotenoids, organic salts, and lipids in residual latex) that can be observed in high concentrations of BOD5 (Biochemical Oxygen Demand) and COD (Chemical Oxygen Demand). Pineapple waste is an organic waste that can be utilized as a bio-adsorbent to remove pollutants from wastewater. This study aims to investigate the effectiveness of pineapple crown waste activated with KOH in removing BOD5 and COD in rubber industry wastewater. The effectiveness of the adsorbent was tested in batches at varying adsorbent dosages of 0.5 g, 1.0 g, and 1.5 g at stirring speeds of 50 rpm, 100 rpm, and 150 rpm. The adsorption isotherm model was analyzed using the Langmuir and the Freundlich models. The results showed that the optimum BOD5 removal rate in rubber industry wastewater using pineapple crown adsorbent was achieved at an adsorbent dosage of 0.5 g with a stirring speed of 100 rpm, resulting in an adsorption capacity of 62.78 mg/g and a removal efficiency of 94.35%. The optimum COD removal was achieved at an adsorbent dosage of 0.5 g, with a stirring speed of 100 rpm, resulting in an adsorption capacity of 199.816 mg/g and a removal efficiency of 95.15%. The adsorption isotherm model most suitable for both BOD5 and COD is the Freundlich model. Increasing the adsorbent dosage does not significantly enhance removal efficiency.
Estimating leaf area in velvetleaf (Limnocharis flava) and kangkong (Ipomea aquatica): a precise and non-destructive approach for wetland vegetables Riyanti, Anggrika; Lakitan, Benyamin; Imanudin, Momon Sodik; Yazid, Muhammad
Kultivasi Vol 25, No 1 (2026)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v25i1.69353

Abstract

Developing a leaf-area estimation model for vegetable cultivars in wetlands is essential to optimizing agricultural cultivation practices. This study aims to develop a non-destructive model for leaf area estimation in wetland vegetable cultivars (velvetleaf (Limnocharis flava) and kangkong (Ipomoea aquatica)) using regression-based models. The plants were cultivated in a wetland system. Measurements of leaf length and width were taken on all leaves of each plant, using the product of length and width (L×W) as predictor. The regression models for estimating leaf area were adjusted from linear, zero-intercept linear, quadratic, and power. The optimal model was evaluated using the determination coefficient (R2) and the Root Mean Square Error (RMSE). The results showed that the most reliable regression model for estimating velvetleaf leaf area was linear regression with the equation y = 0.881LW - 7.615 (R2 = 0.954; RSME = 7.916), and the power model for kangkong leaf area, with the equation y = 0.9407LW0.9309 (R2 = 0.970; RSME = 1.695). Differences in leaf shape among plant species result in different accuracies of leaf area estimation models. Thus, the model should be useful to guide future research and practical applications in monitoring leaf growth and determining harvest time.
Co-Authors Benyamin Lakitan Endi Adriansyah Febrina, Wetri Fitria, Riska Rahmah Dani Guntoro, Boby Dwi Hadrah Hadrah Hadrah, Hadrah Hadrah, Hadrah Handayani, Lucya Ilham Akbar Ilham, M. Jannah, Iptahul M. Riski Pratama Marhadi Marhadi Momon Sodik Imanuddin Monik Kasman Muhammad Yazid Muqorrobin, Fajri Nazarudin Peppy Herawati Prasasti, Dinda Putri, Ni’mah Khalifah Raudhati, Emelda Samuel Samuel Sisca Afrilia Silalahi Siti Umi Kalsum Suzana, Asih Wiguna, Reiva Zeusica Sihombing, Arisanti Monica