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Januar Arif Fatkhurrahman
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Balai Besar Teknologi Pencegahan Pencemaran Industri Bagian Penelitian dan Pengembangan Jl. Kimangunsarkoro No 6 Semarang, Jawa Tengah, Indonesia 50136
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Jurnal Riset Teknologi Pencegahan Pencemaran Industri
Published by Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri
ISSN : 20870965     EISSN : 25035010     DOI : https://doi.org/10.21771
Core Subject : Science, Social, Engineering,
Chemical Engineering, Chemistry & Bioengineering Chemistry Energy Engineering Environmental Science
Jurnal Riset Teknologi Pencegahan Pencemaran Industri is published biannualy by the Balai Besar Teknologi Pencegahan Pencemaran Industri, this is Research and Development Institution under Badan Penelitian dan Pengembangan Industri of Ministry of Industry Republic Indonesia. The Jurnal Riset Teknologi Pencegahan Pencemaran Industri covers a broad spectrum of the science and technology of air, soil, and water pollution management and control while emphasizing scientific and engineering solutions to environmental issues encountered in industrialization. Particularly, interdisciplinary topics and multi-regional/global impacts of environmental pollution, advance material, and energy as well as scientific and engineering aspects of novel technologies are considered favorably. The scope of the Journal includes the following areas, but is not limited to: 1. Environmental Technology, within the area of air pollution technology, wastewater treatment technology, and management of solid waste and harzardous toxic substance 2. Process technology and simulation, technology and/or simulation in industrial production process aims to minimize waste and environmental degradation 3. Design Engineering, device engineering to improve process efficiency, measurement accuracy and to detect pollutant 4. Material fabrication, environmental friendly material fabrication as subtitution material for industry 5. Energy Conservation, process engineering / technology / conservation of resources for energy generation.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 154 Documents
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Analysis of the Suitability of Irrigation Water Quality in the Data Makmur Secondary Canal for Agricultural Crops Based on the SAR and RSC Method Classification Rifa Raihan; Syahrul; Purwana Satriyo
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 17 No. 1 (2026): May
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2026.v17.no1.p73-83

Abstract

This study aims to analyze the suitability of irrigation water quality in the Data Makmur Secondary Canal for agricultural crops based on the SAR and RSC method classifications. This study uses a quantitative approach supported by laboratory analysis. Water sampling was carried out with reference to the Indonesian National Standard (SNI) 06-2412-1991 concerning Water Quality Sampling Methods. Irrigation water samples were taken at the observation points of the Data Makmur Secondary Canal, with each sample volume ranging from 200–500 mL. The water samples were then analyzed at the Banda Aceh Industrial Standardization and Services Center and the Environmental Quality Testing Engineering Laboratory of the Chemical Engineering Study Program, Faculty of Engineering, Syiah Kuala University. The results of the irrigation water quality analysis in the Data Makmur Secondary Canal showed that the Sodium Adsorption Ratio (SAR) value for all samples was in the range of 0.3547–0.4471. This value is included in the very good category according to Todd standards (<10 meq/L), thus indicating that the irrigation water does not have the potential to cause sodicity problems and is still safe to use for agricultural activities. However, the Residual Sodium Carbonate (RSC) value showed a relatively high range, namely 1.927–3.629 meq/L. Based on Eaton's classification (>2.50 mEq/L), most samples are classified as unsuitable for irrigation, except for several points in Sample 2. This condition indicates the potential risk of soil structure degradation must be more closely aligned with the material being extracted and decreased soil permeability if water is used continuously. Therefore, regular water quality monitoring and further studies are needed with additional parameters and sampling points to achieve a more comprehensive representation of irrigation water quality.
Analysis of the Influence of Certified Wastewater Treatment Personnel Competence as an Effort to Meet Industrial Wastewater Quality Standard Requirements in Semarang City Agung Budiarto; Mochamad Arief Budihardjo; Fuad Muhammad
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 17 No. 1 (2026): May
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2026.v17.no1.p94-99

Abstract

This research examines the effect of certified personnel competence in industrial wastewater treatment on the fulfillment of industrial wastewater quality standards in Semarang City, Indonesia. Amid rapid industrial expansion, ensuring environmental sustainability has become increasingly challenging, prompting regulatory requirements for operator certification. The study adopts a quantitative descriptive approach, gathering data from 26 key wastewater treatment operators (POPAL) in major manufacturing sectors through structured questionnaires, interviews, and direct field observation. Findings demonstrate that the majority of industries in Semarang have already appointed certified wastewater treatment personnel, with most respondents possessing a strong educational background and extensive experience. Results indicate that certified operators significantly improve industrial compliance with wastewater quality standards, particularly regarding key parameters such as Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), and Total Suspended Solids (TSS). Certified personnel exhibit enhanced ability in identifying risks, operating and maintaining wastewater facilities, and implementing standard procedures, which directly translates into higher rates of regulatory compliance. However, the research also finds that certification alone is not a panacea; certain industries still face challenges due to outdated technology, insufficient management support, or a lack of continuous training. These factors may hinder optimal wastewater treatment, even when certified personnel are present. The study’s implications are twofold. Theoretically, it affirms the critical role of human resource competence in effective industrial environmental management. Practically, it encourages policymakers and industry leaders to prioritize ongoing professional development, technological upgrades, and supportive management systems, in addition to certification. Such efforts will further strengthen the effectiveness of certified operators and improve overall environmental compliance. In conclusion, certified personnel competence, when supported by proper institutional and technological resources, is a key driver for successful and sustainable industrial wastewater management in Semarang.
Water Meter Detection System Using YOLOv11 with Variations in Image Augmentation Techniques and Integrated into Telegram Rajes Khana; Muhammad Sobirin; Ahmad Rofii; Panji Wijonarko; Bobby Arvian James; Rheza Shangajie
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 17 No. 1 (2026): May
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2026.v17.no1.p84-93

Abstract

While accurate water management is crucial for public utilities, manual meter reading remains inefficient due to recording errors and high operational costs. This study proposes an automatic water meter reading detection system based on YOLOv11 with a variety of image augmentation techniques integrated into Telegram. The dataset was obtained through a combination of ESP32-CAM image captures and online sources totaling 1,207 images, followed by labeling on Roboflow and augmentation in the form of flipping, rotation, saturation, and noise. The YOLOv11 model was trained on Google Colab using an A100 GPU with 100 epochs. Performance evaluation was conducted using Precision, Recall, mAP50, and mAP50-95 metrics. The results showed that the application of augmentation significantly improved model performance, with Precision of 95.9%, Recall of 98.2%, and mAP50 of 97.4%. The combination of four augmentation techniques produced the highest mAP50-95 value of 0.575, indicating the model's robustness against variations in field conditions. The system is also capable of automatically sending detection result notifications via Telegram, enabling its implementation for real-time remote monitoring. Compared to previous studies with YOLOv4 and YOLOv5, this approach proved to be superior in terms of accuracy and efficiency. These findings indicate that the integration of YOLOv11 with image augmentation techniques and IoT support has the potential to be an optimal solution in the modernization of digital water meter reading.
Evectiveness of Fruit Peel Eco-Enzyme in Reducing Biological Oxygen Demand (BOD) of Laundry Wastewater Ade Hidayat; Afra Nuraini; Fitri Nuryani; Ayu Candraningsih; Tri Wiyatno
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 17 No. 1 (2026): May
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2026.v17.no1.p73-78

Abstract

Household wastewater pollution caused by environmental contamination has become increasingly prevalent, especially with the excessive presence of organic materials, which come from detergents, soaps, and other chemicals. The current study seeks to investigate the efficiency of ecoenzyme made from different fruit peel mixtures in reducing BOD of laundry wastewater. Ecoenzyme was made by mixing different amounts of fruit peel wastes (2:1:10 to 6:1:10), palm sugar, and water, then fermenting it for 90 days. Analysis of the ecoenzyme was done using its sensory properties, which include acidity, and application to different concentrations of laundry wastewater to determine their BOD, pH, TDS, COD, color, and smell. Findings indicate that ecoenzyme had some favorable properties, such as an end-product having a pH of 3.6 to 4.0 with a unique acidic scent. Laundry wastewater had a BOD value of 65.78 mg/L before being treated by ecoenzyme, while it was reduced drastically to 10.6-16.3 mg/L. Maximum efficiency was obtained using a mixture ratio of 1:5 (eco-enzyme : wastewater). The results show that the fruit-based eco-enzyme has great promise as an environmentally-friendly and cost-effective technology for upgrading domestic wastewater treatment processes toward zero-waste principles.

Page 16 of 16 | Total Record : 154

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