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Contact Name
Januar Arif Fatkhurrahman
Contact Email
januarfa@gmail.com
Phone
+62816655080
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jurnalrisettppi@gmail.com
Editorial Address
Balai Besar Teknologi Pencegahan Pencemaran Industri Bagian Penelitian dan Pengembangan Jl. Kimangunsarkoro No 6 Semarang, Jawa Tengah, Indonesia 50136
Location
Kota semarang,
Jawa tengah
INDONESIA
Jurnal Riset Teknologi Pencegahan Pencemaran Industri
ISSN : 20870965     EISSN : 25035010     DOI : https://doi.org/10.21771
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.
Articles 132 Documents
Hazard Identification, Risk Assessment and Control (HIRAC) on Water Solid Contents Determination at Environmental Chemistry Laboratory of President University Manik, Yosef Barita Sar; Mayriza, Azka Leona; Putri, Brilian Maulani; Keisha Fawwaaz; Huri, Khalila Kireina; Maulidinnisa, Vira Puspita
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 15 No. 2 (2024): November
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2024.v15.no2.p94-102

Abstract

This study conducted a Hazard Identification and Risk Assessment (HIRA) on Solid Contents Experiment that is taking place in the President University Environmental Engineering Laboratory. The main objective in this study is to identify potential hazard during experiment, to understand the risk level of hazards in the Environmental Engineering Laboratory, and to propose strategies and give improvement in laboratory practices. The methods used in this study is Hazard Identification, Risk Assessment and Control (HIRAC). As the result, the hazards that are identified in this study is slip and fall, respiratory hazard, fragile object, burn and physical injury, and electrical hazard. There are 18 hazards observed, and priority sorting is done to identify which hazard is high and medium in level and needs further caution, which turned out to be 12 medium to high hazards. The most critical hazard is pouring the water sample inti the vacuum using volumetric glass, because it has risk of slipping, falling, and handling when the water sample is spilled, and it is also a fragile object. So, this study identifies the effectiveness of HIRA method, finding steps that should be done to improve the operationsl conditions of the laboratory, and update practical education afterwards.
Analysis of Neutron Radiation Absorption Capacity of Coir Fiber Composite Board as A Neutron Radiation Shield Sitepu, Evi Christiani; Simatupang, Dimas Frananta
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): 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.2025.v16.no1.p1-8

Abstract

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.
Soil Characteristics in Post-Mining Reclamation Zones of a Clay Mine PT Solusi Bangun Indonesia Tbk Cilacap Rendy Prihatnanto; Bambang Yulianto; Jafron Wasiq Hidayat
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 15 No. 2 (2024): November
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2024.v15.no2.p78-85

Abstract

Former clay mining areas often face soil degradation that makes it difficult for vegetation to thrive, even after reclamation. This study explores the physical and chemical characteristics of soil in the reclaimed land of PT Solusi Bangun Indonesia Tbk in Cilacap, aiming to understand how effective the rehabilitation efforts have been. Soil samples were taken from six locations, chosen based on differences in vegetation cover and land elevation. The analysis focused on physical properties such as pH, moisture content, temperature, specific gravity, and porosity, along with chemical aspects like macronutrient levels and heavy metal content. Results showed that soil pH ranged from neutral to slightly acidic, with moisture content varying across the site. While macronutrients were generally adequate for plant growth, their distribution was uneven. Some heavy metals, particularly cadmium and silver, were found in concentrations above recommended environmental limits, whereas lead and arsenic levels remained within safe thresholds. Overall, the reclamation process has helped improve soil conditions, but additional steps—like adding lime, incorporating organic matter, and applying specific remediation techniques—are needed to boost soil fertility and reduce contamination risks. Continued monitoring and adaptive strategies will be key to sustaining the health of the reclaimed landscape
Environmental Pollution and Threats to the Future of Sustainable Ecotourism: Challenges and Solutions in Riau Province Abdul Sadad; Zulkarnaini Zulkarnaini; Mimin Sundari Nasution; Mayarni Mayarni
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 15 No. 2 (2024): November
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2024.v15.no2.p87-93

Abstract

Riau Province has great potential in ecotourism development, especially in coastal areas, mangrove forests, and tropical peatlands. However, this development is faced with serious challenges in the form of environmental pollution that threatens the sustainability of natural tourism destinations. This study aims to identify the forms of pollution that occur in Riau's ecotourism areas, analyze their impacts on ecosystems and tourism activities, and formulate strategic solutions for sustainable management. The method used is a qualitative approach with case studies in several leading ecotourism locations such as Mangrove Ecotourism in Bengkalis and Zamrud Lake tourism in Siak. Data were collected through interviews, observations, and field documentation. The findings of this study clearly demonstrate that environmental pollution—particularly from domestic waste, peatland fires, and land-use changes—poses a significant threat to the ecological integrity and long-term viability of ecotourism destinations in Riau Province. Without immediate and coordinated intervention, these threats risk undermining the region’s ecotourism potential. Therefore, this study concludes that sustainable ecotourism in Riau can only be achieved through an integrative and participatory management model that involves capacity building for local communities, strict enforcement of environmental regulations, and multi-stakeholder collaboration. Such strategic efforts are essential to preserve the natural assets of Riau and ensure that ecotourism continues to provide ecological, social, and economic benefits in the future.
Implementation of Integrating PV System Production Forecasting Using Recurrent Neural Networks in Local Weather Station Prototype Novan Akhiriyanto; Listianto, Setiawan; Basmana, Naufal
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): 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.2025.v16.no1.p16-22

Abstract

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. This indicates fairly satisfactory results. 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.
Addressing Missing Data in Environmental Technologies: Economic and Environmental Optimizing Air Quality Monitoring with Random Forest and MissForest Nengsih, Titin Agustin; Wardhana, Indrawata; M. Nazori Madjid, M. Nazori
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): 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.2025.v16.no1.p23-31

Abstract

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.
Utilization of Industrial Waste (Bottom Ash) as an Alternative Material in Paving Block Manufacturing Sartika, Sartika; Aqla, Syarifah; Firman, Firman; Megasukma, Yosa
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): 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.2025.v16.no1.p8-15

Abstract

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%.
Assessing the Challenges and Opportunities of Collaborative Governance in Multi-Stakeholder Policy Environments Kader, Abdurrahman; Fahri, Ririn
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): 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.2025.v16.no1.p32-40

Abstract

This article explores the challenges and opportunities associated with collaborative governance in multi-stakeholder policy environments. Utilizing a qualitative approach, we conducted a comprehensive literature review to identify key themes and insights regarding collaborative governance practices. The findings reveal that while collaborative governance offers significant potential for enhancing stakeholder engagement and fostering innovative solutions to complex policy issues, it also presents notable challenges. These challenges include power imbalances among stakeholders, difficulties in communication and coordination, and the risk of diluted accountability. Conversely, the opportunities identified include the potential for shared knowledge creation, increased resource mobilization, and improved policy outcomes through collective decision-making. By synthesizing existing research, this study provides a nuanced understanding of the dynamics at play in collaborative governance frameworks and emphasizes the importance of fostering inclusive participation and effective communication strategies. The insights gained from this study can inform policymakers and practitioners seeking to enhance collaborative governance efforts in various sectors. Ultimately, this article contributes to the growing body of literature on collaborative governance by highlighting the intricate balance between challenges and opportunities, thereby offering practical recommendations for improving multi-stakeholder collaboration in policy environments
Human-Centered Ergonomic Design in Industry 5.0: Enhancing Productivity and Worker Wellbeing Idzani Muttaqin
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): 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.2025.v16.no1.p41-50

Abstract

Industry 5.0 represents a paradigm shift from technology-driven automation to a human-centered approach, emphasizing the integration of advanced technologies with human creativity and well-being at its core. This article employs a qualitative literature review to explore the role of ergonomic design as a foundational pillar within Industry 5.0, focusing on its impact on productivity and worker well-being. The review synthesizes findings from recent studies and bibliometric analyses, highlighting how ergonomic interventions—spanning physical, cognitive, and social domains—optimize work environments by aligning them with human capabilities and limitations. Differentiating from existing literature, this research emphasizes the importance of a holistic ergonomic approach in designing work environments that not only enhance safety and comfort but also foster collaboration between humans and intelligent machines. In Industry 5.0, ergonomic design reduces physical strain and cognitive overload, while simultaneously promoting innovation and job satisfaction. The integration of real-time monitoring technologies and adaptive workstations allows for dynamic adjustments, ensuring sustained worker health and organizational efficiency. However, despite these advancements, challenges remain in the widespread adoption of ergonomic principles, particularly in harmonizing technological innovation with the holistic needs of workers. The findings underscore the necessity of a comprehensive, multidisciplinary approach—bridging policy, technology, and human factors—to fully realize the potential of human-centered ergonomic design in Industry 5.0. This study offers actionable insights for researchers and practitioners aiming to create productive, sustainable, and worker-friendly industrial ecosystems, with an added focus on how ergonomic design in Industry 5.0 fosters more adaptive and dynamic human-technology interactions compared to previous approaches.
Automatic Chicken Feeding Machine Using Fuzzy Inference System Islamiyah, Mufdatul; Maisaroh, Maisaroh
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 1 (2025): 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.2025.v16.no1.p61-69

Abstract

Efficient feed management is a crucial factor in increasing chicken farm productivity. However, manual feeding systems are often inconsistent and labor-intensive. To address these issues, this study designed and implemented an automatic chicken feeder equipped with a fuzzy inference system, where the fuzzy system plays a role in processing sensor data. The sensors used in this research are temperature sensors, ultrasonic, RTC, electric motors and microcontrollers. This system can automatically determine the timing and amount of feed given based on parameters such as time, number of chickens, and the level of remaining feed in the container. The fuzzy method is used because it can handle uncertain and variable input data and allows for more flexible decision-making. System testing was conducted using MATLAB simulations to test the fuzzy logic response to feed quantity and input conditions. In addition to simulation testing, hardware testing was also conducted to ensure that all physical components of the automatic chicken feeder functioned properly and directly according to the feed design. The simulation results showed that the defuzzifier value was 10, thus concluding that the motor movement of the device was categorized as moderate  and also demonstrated that the system can provide feed in a timely and appropriate manner, while reducing feed waste. Thus, this tool has the potential to help farmers save time, operational costs, and improve feed efficiency.