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All Journal IJEMS (Indonesian Journal of Environmental Management and Sustainability) IJID (International Journal on Informatics for Development)
Pranggono, Bernardi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Energy Environmental Science Public Health

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Anomaly-Based Intrusion Detection System for the Internet of Medical Things Franklin, Eichie; Pranggono, Bernardi
IJID (International Journal on Informatics for Development) Vol. 12 No. 2 (2023): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.4308

Abstract

The use of the Internet of Things (IoT) in the health sector, known as the Internet of Medical Things (IoMT), allows for personalized and convenient (e)-health services for patients. However, there are concerns about security and privacy as unethical hackers can compromise these network systems with malware. We proposed using hyperparameter-optimized Machine and Deep Learning models to address these concerns to build more robust security solutions. We used a representative Anomaly Intrusion Detection System (AIDS) dataset to train six state-of-the-art Machine Learning (ML) and Deep Learning (DL) architectures, with the Synthetic Minority Oversampling Technique (SMOTE) algorithm used to handle class imbalance in the training dataset. Our hyperparameter optimization using the Random search algorithm accurately classified normal cases for all six models, with Random Forest (RF) and K-Nearest Neighbors (KNN) performing the best in accuracy. The attention-based Convolutional Neural Network and Long Short-Term Memory (CNN-LSTM) model was the second-best performer, while the hybrid CNN-LSTM model performed the worst. However, there was no single best model in classifying all attack labels, as each model performed differently in terms of different metrics.
Synergistic Valorization of Palm Oil Mill Effluent and Boiler Ash into a Nutrient-Rich Liquid Organic Fertilizer Taslapratama, Irwan; Hati, Intan Permata; Rahmadani, Elfi; Aryanti, Ervina; Hamid, Fauziah Shahul; Pranggono, Bernardi; Mishbahuddin
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.2026.10.1.29-35

Abstract

Industrial symbiosis presents a transformative pathway for the sustainable management of palm oil byproducts. This study investigates a novel integrated valorization approach using boiler ash as a multifunctional ameliorant in the anaerobic fermentation of palm oil mill effluent (POME). By leveraging the synergistic physicochemical properties of acidic POME and alkaline boiler ash, we developed a self-buffering system to produce high-value liquid organic fertilizer. Varying boiler ash concentrations (0, 45, 50, and 55 g/L) were evaluated to determine the optimal nutrient recovery and stabilization parameters. Results demonstrate that a dosage of 55 g/L is statistically superior, effectively neutralizing the system to a stable pH of 7.5 without synthetic additives. This treatment yielded a nutrient-dense product containing 3.93% total NPK and 12.42% organic carbon, surpassing the Indonesian Ministry of Agriculture Regulation No. 261/2019 standards. Safety analysis revealed a Pb concentration of 12.28 ppm, which is significantly below the maximum allowable threshold, confirming the product’s environmental compatibility. This research provides a scientifically grounded method for converting industrial waste into a fortified agricultural input, advancing circular economy principles and supporting national sustainability frameworks like the Indonesia Sustainable Palm Oil (ISPO) certification.
Co-Authors Elfi Rahmadani dan Penti Suryani Ervina Aryanti Franklin, Eichie Hamid, Fauziah Shahul Hati, Intan Permata Irwan Taslapratama Mishbahuddin