Jurnal Riset Teknologi Pencegahan Pencemaran Industri
https://jrtppi.id/index.php/jrtppi
<section class="additional_content col-md-12"> <p align="justify"><strong><img style="float: left; width: 200px; margin-top: 8px; margin-right: 10px;" src="https://jrtppi.id/public/site/images/akesmawan/cover-jrtppi-1576cae972e87d244ece8fa37ba9a318.jpg" height="283" /></strong><strong>Jurnal Riset Teknologi Pencegahan Pencemaran Industri</strong> <a title="Portal ISSN" href="https://portal.issn.org/resource/ISSN/2503-5010" target="_blank" rel="noopener">ISSN 2503-5010</a> is managed by IDPublishing (Indonesian Journal Publisher) and published biannually by the Balai Besar Standarisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri, this is a technological optimization agency under Badan Standarisasi dan Kebijakan Jasa Industri of Ministry of Industry Republic Indonesia. The <strong>JRTPPI</strong> 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 materials, and energy as well as scientific and engineering aspects of novel technologies are considered favourably. </p> <p align="justify">The scope of the Journal includes the following areas, but is not limited to: <strong style="font-size: 0.875rem;">Environmental Technology (</strong><span style="font-size: 0.875rem;">within the area of air pollution technology, wastewater treatment technology, and management of solid waste and hazardous toxic substances); </span><strong style="font-size: 0.875rem;">Process technology and simulation (</strong><span style="font-size: 0.875rem;">technology and/or simulation in industrial production process aims to minimize waste and environmental degradation); </span><strong style="font-size: 0.875rem;">Design Engineering (</strong><span style="font-size: 0.875rem;">device engineering to improve process efficiency, measurement accuracy and to detect the pollutant); </span><strong style="font-size: 0.875rem;">Material fabrication </strong>(<span style="font-size: 0.875rem;">environmental friendly material fabrication as substitution material for industry); </span><strong style="font-size: 0.875rem;">Energy Conservation </strong>(<span style="font-size: 0.875rem;">process engineering/technology/conservation of resources for energy generation). </span></p> <p align="justify">All published articles will have a unique <strong>Digital Object Identifier</strong> (DOI) number. <strong>JRTPPI</strong> provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. <strong>JRTPPI</strong> is an open-access journal and peer-reviewed that publishes either original articles or reviews. <a href="https://www.scopus.com/results/results.uri?sort=plf-f&src=dm&st1=Jurnal+Riset+Teknologi+Pencegahan+Pencemaran+Industri&sid=7e02e23ece1d20d39954cb778f4b9f81&sot=b&sdt=b&sl=58&s=ALL%28Jurnal+Riset+Teknologi+Pencegahan+Pencemaran+Industri%29&origin=searchbasic&editSaveSearch=&sessionSearchId=7e02e23ece1d20d39954cb778f4b9f81&limit=10" target="_blank" rel="noopener">Scopus citation analysis (29 citation)</a>.</p> <div id="content"> <div id="journalDescription"> <p><strong>Journal Description</strong></p> </div> </div> <table class="data" width="100%" bgcolor="#f1f2ab"> <tbody> <tr valign="top"> <td width="30%"><strong>Journal title</strong></td> <td width="70%"> : <strong>Jurnal Riset Teknologi Pencegahan Pencemaran Industri</strong></td> </tr> <tr valign="top"> <td width="30%"><strong>Initials</strong></td> <td width="70%"> : <strong>JRTPPI</strong></td> </tr> <tr valign="top"> <td width="30%"><strong>Frequency</strong></td> <td width="70%"> : <strong><a href="https://jrtppi.id/index.php/jrtppi/issue/archive" target="_blank" rel="noopener">2 issues</a></strong> per year (May & November)</td> </tr> <tr valign="top"> <td width="30%"><strong>Prefiks DOI</strong></td> <td width="70%"> : <strong>10.21771</strong> <a href="https://search.crossref.org/?from_ui=&q=2503-5010" target="_blank" rel="noopener"><img src="https://i.ibb.co/T4xZdG6/crossref3.png" alt="crossref3" border="0" /></a> </td> </tr> <tr valign="top"> <td width="30%"><strong>Online ISSN</strong></td> <td width="70%"> : <strong><a href="https://issn.brin.go.id/terbit/detail/1461805940" target="_blank" rel="noopener">2503-5010</a></strong></td> </tr> <tr valign="top"> <td width="30%"><strong>Editor In Chief</strong></td> <td width="70%"> : <strong>Wahyuni, H.C</strong></td> </tr> <tr valign="top"> <td width="30%"><strong>Publisher</strong></td> <td width="70%"> : <a href="https://bbspjppi.kemenperin.go.id/" target="_blank" rel="noopener"><strong>Balai Besar Teknologi Pencegahan Pencemaran Industri Semarang</strong></a> | <a href="https://idpublishing.org/" target="_blank" rel="noopener"><strong>Indonesian Journal Publisher</strong></a></td> </tr> </tbody> </table> </section>Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industrien-USJurnal Riset Teknologi Pencegahan Pencemaran Industri2087-0965Implementation of Integrating PV System Production Forecasting Using Recurrent Neural Networks in Local Weather Station Prototype
https://jrtppi.id/index.php/jrtppi/article/view/210
<p><em>This study explores the crucial role of weather stations in measuring, collecting, and reporting weather data, as well as the implementation of modern technologies such as Long Range (LoRa) radio wave modulation technology for real-time data monitoring. Equipped with components like temperature, humidity, solar radiation, and wind sensors, the weather station ensures accurate and efficient data collection. Testing of LoRa technology at the PEM Akamigas Campus demonstrated an effective range of approximately ±85 meters, ensuring optimal connectivity between the Subroto Building and the Energy Laboratory Building. Data consistency from the Message Queue Telemetry (MQTT) protocol server and Haiwell Human-Machine Interface (HMI) confirms the reliability of weather monitoring. Additionally, this research focuses on weather and energy production predictions for the PV system at the Subroto Building, using an Recurrent Neural Network (RNN) deep learning model to enhance the accuracy of solar panel energy production forecasts. Data evaluation from April 1, 2024, to April 22, 2024, highlights the potential. Based on the real-time sensor data installed in the field on a combination of 3 series solar panels, resulted in production forecasting with Root Mean Square Error (RMSE) values of approximately 4.9965 for voltage, and 0.0081 for current.</em> <em>This indicates fairly satisfactory results.</em><em> For power testing, the RMSE results are still unsatisfactory, highlighting an opportunity for future model improvements. The combination of LoRa technology and the RNN model is expected to provide valuable insights into reliable weather monitoring and energy production at the PEM Akamigas Campus, with improvements to the model parameters for power data, which is inherently derived from the multiplication of voltage and current parameters.</em></p>Novan AkhiriyantoSetiawan ListiantoNaufal Basmana
Copyright (c) 2025 Novan Akhiriyanto, Setiawan Listianto, Naufal Basmana
https://creativecommons.org/licenses/by-nc-sa/4.0
2025-05-282025-05-28161162210.21771/jrtppi.2025.v16.no1.p16-22Utilization of Industrial Waste (Bottom Ash) as an Alternative Material in Paving Block Manufacturing
https://jrtppi.id/index.php/jrtppi/article/view/216
<p><em>Coal is a heterogeneous, combustible material composed of various components with differing properties. The combustion process of coal in coal-fired power plants (CFPPs) generates waste in the form of bottom ash residue. If not properly utilized, bottom ash has The ability to trigger adverse environmental impacts. One alternative for its utilization is as a mixture component in the production of paving blocks. This study aims to evaluate the water absorption, compressive strength, and quality classification of paving blocks with the addition of bottom ash, where the test results will be compared with the Indonesian National Standard (SNI) to determine conformity to quality standards. According to the study, it can be seen that increasing the percentage of bottom ash leads to a higher water absorption rate and a decrease in compressive strength. This trend is attributed to the reduction in bulk density of the paving blocks as the proportion of bottom ash increases. Based on the test results, paving blocks without bottom ash (Sample A) fall into Class C; mixtures with 10% and 20% bottom ash (Samples B and C) fall into Class B; the 30% mixture (Sample D) belongs to Class C; and the 40% mixture (Sample E) is categorized as Class D. All composition variations meet the quality classification criteria stipulated in the applicable Indonesian National Standard (SNI). Based on compressive strength and water absorption parameters, the optimal bottom ash composition ranges between 10% and 20%.</em></p>Sartika SartikaSyarifah AqlaFirman FirmanYosa Megasukma
Copyright (c) 2025 Sartika Sartika, Syarifah Aqla, Firman Firman, Yosa Megasukma
https://creativecommons.org/licenses/by-nc-sa/4.0
2025-05-232025-05-2316191510.21771/jrtppi.2025.v16.no1.p8-15Analysis of Neutron Radiation Absorption Capacity of Coir Fiber Composite Board as A Neutron Radiation Shield
https://jrtppi.id/index.php/jrtppi/article/view/213
<div><em>Research has been conducted on the radiation shielding capability of coir fiber composite boards to determine the extent of neutron radiation absorption as it passes through the created radiation shield. This study aims to ascertain whether coir fiber can be used as a filler in the production of radiation shields. Initial analysis was conducted using SEM-EDX, FTIR, and XRD testing. The results indicated that the primary component of coir fiber is carbon at 70.68%, which is structured in chemical bonds of cellulose, hemicellulose, and lignin. Additionally, coir fiber retains a crystalline region observed at the peak of 2θ=22.4°, with a crystallinity degree of 35.46%, suggesting its potential for neutron radiation absorption. After fabricating the composite board, it was tested using the Neutron Activation Analysis method to evaluate its neutron radiation absorption capability. The analysis results showed that the absorption capacity of the composite board at a fiber mass fraction of 2.0 g ranged from 59.4 to 97.8%; at 3.0 g from 64.3 to 98.3%; and at 4.0 g from 73.5 to 99.3%. The linear attenuation coefficients (µ) for each coir fiber fraction were found to be 3.84; 4.13; and 4.80/cm, with half-value layers of 0.18; 0.17; and 0.14 cm, respectively, demonstrating that coir fiber can be utilized as a filler for neutron radiation shielding.</em></div>Evi Christiani SitepuDimas Frananta Simatupang
Copyright (c) 2025 Evi Christiani Sitepu, Dimas Frananta Simatupang
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2025-05-152025-05-151611810.21771/jrtppi.2025.v16.no1.p1-8Addressing Missing Data in Environmental Technologies: Optimizing Air Quality Monitoring with Random Forest and MissForest
https://jrtppi.id/index.php/jrtppi/article/view/214
<p style="font-weight: 400;"><em> </em></p> <p style="font-weight: 400;"><em>Air quality monitoring often encounters missing data issues due to technical glitches, equipment malfunctions, or other causes. This study employs PM2.5 and PM10 datasets from station 6, calculating multiple weighted probabilities for imputation. With missing values introduced at rates of 10, 40, and 70 percents through different amputation methods, the Random Forest and missForest techniques are utilized for imputation. Notably, missForest consistently outperforms Random Forest across all scenarios, yielding accuracy exceeding 96% even with high missing data levels. MissForest achieves remarkable accuracy above 96% for PM2.5 and PM10 across left, middle, and right multiple weight probabilities amputations. Overall, missForest attains the highest accuracy (over 97%) for Air Quality Index at lower and middle missing value proportions. </em></p>Titin Agustin NengsihIndrawata WardhanaM. Nazori M. Nazori Madjid3
Copyright (c) 2025 Titin Agustin Nengsih, Indrawata Wardhana, M. Nazori M. Nazori Madjid3
https://creativecommons.org/licenses/by-nc-sa/4.0
2025-05-282025-05-28161233110.21771/jrtppi.2025.v16.no1.p23-31