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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 150 Documents
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An Iot-Based Forest Fire Prediction System Using Fuzzy Logic Method Lianda, Jefri; Amri, Hikmatul; Adam, Adam; Custer, Johny; Fitriana, Dea
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 2 (2025): 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.2025.v16.no2.p158-167

Abstract

Forest and land fires represent a recurring environmental challenge in Indonesia, especially during the prolonged dry season. These incidents result in significant consequences, including the destruction of ecosystems, threats to human health, and considerable economic disruption. To address this problem, the present research focuses on the development of an Internet of Things (IoT)-based system designed to predict and monitor the risk of forest fires by implementing the Fuzzy Logic method. The prototype integrates several sensors, namely a DHT22 sensor for measuring temperature and humidity, an MQ-2 sensor for detecting gas and smoke concentrations, and a flame sensor for identifying the presence of fire. All sensors are connected to a NodeMCU ESP8266 microcontroller that serves as the core of data processing and wireless communication. The collected sensor data is evaluated using a Fuzzy Logic algorithm, which classifies the fire risk into three distinct levels: “Safe,” “Caution,” and “Hazardous.” Experimental testing demonstrates that the system responds effectively to fluctuations in temperature, humidity, smoke levels, and visible flame in real time, with alerts displayed through a web-based dashboard. The DHT22 sensor exhibits an average error rate between 4.8% and 5% for temperature readings and between 4.1% and 4.5% for humidity measurements. In addition, the flame sensor successfully detects fire sources at distances reaching 300 cm. The outcomes confirm that the system achieves a high degree of reliability and accuracy, thereby providing valuable support for early warning, strengthening preventive strategies, and assisting authorities in mitigating the severe impacts of forest and land fires.
Mechanical Properties Improvement of Peat Soils Stabilized by Palm Oil Fuel Ash (POFA) based Geopolymer Abiyoga, Nurza Purwa; Dwina, Dila Oktarise; Alfernando, Oki; Putri, Fiona Dehansa
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 2 (2025): 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.2025.v16.no2.p176-185

Abstract

Peat soils are generally characterized by high water content, significant organic matter composition, and relatively low shear strength compared to mineral soils. These properties may lead to excessive settlement and reduced load-bearing capacity, which can affect the performance of foundations and embankments constructed on peat deposits. Extensive peatland areas can be found in Jambi, Indonesia and innovative stabilization methods are required to enhance their mechanical properties for sustainable land use. This study develops an alternative method of stabilization by using palm oil fuel ash (POFA) as a base material for geopolymerization. POFA, an industrial by-product, is abundant in Jambi and offers a sustainable alternative to highly polluting Portland cement. The research methodology involved the preparation of geopolymer-stabilized peat samples with 0%, 10%, 15%, and 20% to total dry weight of POFA addition, followed by Unconfined Compressive Strength (UCS) tests to assess the improvement in soil strength. The results indicate a positive trend with increasing compressive strength values as the geopolymer content increases to 15%. The average UCS results for the consecutive amount of POFA geopolymer addition are 15.10 kPa, 30.05 kPa, 37.90 kPa, and 9.71 kPa. In conclusion, using POFA-based geopolymer shows potential as an effective and sustainable solution for improving the strength characteristics of peat soils with a notable maximum amount of addition at 15%. This stabilization technique could provide a viable method for infrastructure development in peatland areas.
Hybrid Genetic Algorithms for Energy-Aware and Environmentally Sustainable Scheduling: A Systematic Review and Conceptual Framework Rinto Yusriski
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.p90-101

Abstract

The growing demand for sustainable and energy-efficient operations has intensified interest in optimization methods that reduce energy consumption without compromising productivity. Hybrid Genetic Algorithms (HGAs) have shown promise in tackling complex scheduling problems characterized by nonlinear, multi-objective, and energy-constrained conditions. Despite numerous studies, a clear gap remains: existing reviews often focus narrowly on manufacturing or provide descriptive summaries without quantifying performance gains or highlighting methodological trends. This paper addresses this deficiency by systematically reviewing 47 peer-reviewed studies published between 2010 and 2025, encompassing 34 manufacturing-oriented models (e.g., flow shop, flexible flow shop, job shop, and parallel machine) and 13 cross-domain applications where HGA principles have been adapted (e.g., EV charging, smart grids, and building energy systems). Using a PRISMA-inspired protocol, studies are analyzed along five dimensions: scheduling environment, hybridization mechanism, energy modeling approach, performance indicators, and implementation maturity. Quantitative synthesis indicates that heuristic-assisted and local search-based hybridizations dominate, while integrations with reinforcement learning and mathematical programming offer significant improvements in adaptivity and solution quality. Total Energy Consumption (TEC) and peak power minimization are the primary objectives, yet dynamic or real-time energy feedback remains underexplored. Building on this analysis, the paper proposes a conceptual framework that unifies HGA structures across manufacturing and smart energy systems, emphasizing methodological consistency, adaptive control, and sustainability-driven optimization. The review not only consolidates performance trends but also delineates clear research gaps, providing actionable directions for future work on hybrid metaheuristics in environmentally sustainable scheduling.
Utilization of Post-Coal Mining Reclaimed Land for Livestock Feed and Animal Husbandry Production: Challenges of Microbial Contamination, Heavy Metals, and Nutrient Deficiency Utomo, Budi; Awaludin, Aan; Ningsih, Niati; Rukmi, Dyah Laksito; Nugroho, Wendy Triadji; Anifiatiningrum, Anifiatiningrum
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.p1-15

Abstract

Coal mining causes significant environmental degradation, transforming land from a stable ecosystem into a disturbed area with complex ecological and chemical challenges. This study aims to evaluate the feasibility of post-coal mining reclaimed land as an area for livestock feed and animal husbandry production, focusing on the main research question: Does the land meet specific criteria such as heavy metal thresholds (e.g., Pb <0.3 mg/kg, Cd <0.1 mg/kg according to FAO/WHO), microbial community recovery (enzyme activity >30% increase), and nutrient availability (N, P, K >1% total)? The systematic literature review method involved searching 94 empirical articles from Google Scholar (years 2016-2025), selected based on criteria: empirical research design, English or Indonesian language, complete text, and relevance to the theme of mine land reclamation. Data analysis used a thematic approach to identify main themes related to reclaimed land conditions. The results show that 80% of studies report heavy metal pollution with Pb concentrations ranging from 5-50 mg/kg, Cd 0.5-5 mg/kg, and Hg 0.1-2 mg/kg, which pose a risk of bioaccumulation in feed plants; post-reclamation soil quality improvement trends reach 20-50% for soil organic carbon (SOC) and 30-60% for microbial enzyme activity, although the main constraints are slow microbial community recovery and chronic nutrient deficiency. In conclusion, reclaimed land is conditionally suitable for livestock feed and animal husbandry production if integrated restoration strategies are implemented to address microbial contamination, heavy metals, and nutrients, as well as continuous monitoring to ensure feed safety and animal health.
Lean Manufacturing Strategy Based on Value Stream Mapping to Increase Production Process Efficiency in the Manufacturing Industry Sumarya, Edi; Alwi, Muhammad; Suhara, Ade; Yusriski, Rinto
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.p35-45

Abstract

remain competitive in a globalized market. Lean Manufacturing, particularly through the implementation of Value Stream Mapping (VSM) has been shown to be a highly effective strategy for improving production procedures through reducing waste, improving quality, and enhancing overall efficiency. This research uses a qualitative approach method via a review of existing literature to examine how Lean Manufacturing and VSM can improve production efficiency in manufacturing industries. The novelty of this study lies in systematically synthesizing empirical evidence on the combined application of Lean and VSM, highlighting not only operational improvements but also long-term sustainability and employee engagement, which have been less emphasized in prior studies. The findings indicate that Lean practices, when coupled with VSM, lead to significant reductions in lead times, waste, and inventory levels, while improving product quality and employee engagement. Key improvements observed include an 80% reduction in lead times, 75% reduction in waste, and 85% improvement in inventory management. The study also highlights challenges encountered during Lean implementation, such as resistance to change and the requirement for extensive training. Overall, the research demonstrates that Lean Manufacturing, supported by VSM, significantly enhances production efficiency, provides long-term operational benefits, and offers practical insights for organizations aiming to optimize manufacturing processes. Future studies should focus on integrating Lean with emerging digital technologies and exploring its application in complex manufacturing systems to further optimize workflows and sustain competitive advantage.
Evaluating the Role of Artificial Intelligence in Optimizing International Logistics and Distribution Networks Rachmat, Diar
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.p46-61

Abstract

The rapid globalization of trade and the increasing complexity of supply chains have led to the need for more efficient logistics systems. Artificial Intelligence (AI) has emerged as a transformative technology that can optimize international logistics and distribution networks. This study aims to evaluate the role of AI in improving the efficiency and effectiveness of logistics operations by examining its applications in demand forecasting, route optimization, inventory management, and decision-making processes. This study employs a qualitative literature review using a structured review approach to synthesize findings from relevant academic publications. A total of 31 sources, including journal articles and related scholarly publications, were analyzed based on their relevance to AI applications in international logistics and supply chain operations. The analysis identifies three major thematic areas: the integration of AI in global supply chains, the challenges and opportunities associated with AI adoption, and the impact of AI on decision-making and operational efficiency. The findings indicate that AI enhances logistics performance by improving forecasting accuracy, optimizing transportation routes, and supporting data-driven decision-making processes. However, the literature also highlights several barriers to implementation, particularly high initial investment costs, data security concerns, and organizational resistance to technological change. The study concludes that while AI offers substantial benefits, successful implementation requires not only technological capability but also organizational readiness and effective data governance. By synthesizing existing research, this study provides a structured perspective on the role of AI in logistics optimization and highlights key factors influencing its successful adoption in global supply chains.
The Role of Human Behavior in Urban Infrastructure Adaptation to Climate Change Bunawardi, Ratriana
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.p46-51

Abstract

Climate change brings increasingly complex pressures on urban infrastructure systems, including more frequent flooding events, increased temperature extremes, and disruptions in essential public services. This study examines the role of human behavior as a critical factor in strengthening infrastructure’s adaptive capacity in response to such climatic dynamics. A mixed-methods approach was employed, combining urban residents’ behavioral surveys, analysis of adaptive policy frameworks, and evaluation of critical infrastructure readiness. The findings indicate that risk perception, climate literacy levels, and individual decision-making patterns significantly influence the effectiveness of adaptation strategies. These results affirm that successful adaptation is not solely determined by technology or the physical design of infrastructure, but also by the extent to which communities internalize mitigation practices and adaptive responses. This article recommends multisectoral collaboration, particularly through coordinated policy implementation, community engagement programs, and integrated urban planning among government agencies, urban planners, and communities, to develop more behaviorally responsive adaptation schemes that enhance long-term urban resilience to climate change stressors.
Evaluation Study of Critical Zones and Damaged Zones of Semarang City Groundwater Utilization Based on Geospatial Modeling Kurniawan, Widya; Soeprobowati, Retnaningsih; Fahrudin
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.p1-19

Abstract

The Energy and Mineral Resources Office of Central Java Province has proposed the evaluation of the CAT Semarang-Demak groundwater conservation zone for the 2022 fiscal year. There it was announced that the evaluation in the Semarang-Demak Groundwater Watershed (CAT) in Semarang City, there is already a critical utilization zone (mera). Groundwater withdrawal, which tends to be more intensive over time, will have an impact on the quantity, quality, and carrying capacity of the local environment, and can lead to groundwater level subsidence and land subsidence. As an effort to fight and anticipate further environmental damage, groundwater management in Semarang City needs to be evaluated. This evaluation uses a geographic information system (GIS)-based approach method in making a spatial model of the damaged groundwater utilization zone in the Semarang City Groundwater Basin. This evaluation was carried out to determine the distribution and characteristics of the aquifer, hydrogeological conditions, groundwater and environmental conditions, groundwater protected areas, water needs for the community and its development. The results of the Evaluation, Mapping, and Analysis Study of Damaged Zones for Groundwater Utilization in Groundwater Catchment Areas in Semarang City can be used as a reference for the Central Java Provincial Government in making groundwater management policies according to its authority.
Evaluating Water Use Efficiency and Water Treatment Systems at 1×1000 MW Coal-Fired Power Plants to Achieve Zero Liquid Discharge at PT XYZ Prihartanto, Henry; Romadlon , Fauzan; Alviana, Dian
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.p20-41

Abstract

Water-use efficiency is a strategic issue in large-scale coal-fired steam power plants, given the high operational water demand and the increasing need to implement the Zero Liquid Discharge (ZLD) concept. However, most previous studies have examined the performance of desalination systems, cooling processes, or wastewater treatment installations separately, thus failing to provide a comprehensive picture of water loss and Zero Liquid Discharge (ZLD) readiness at the system level. This study adopts an integrated operational water balance approach to analyse water-use efficiency, trace the main pathways of water loss, and evaluate the extent of Zero Liquid Discharge (ZLD) achieved at a 1×1000 MW coal-fired power plant (PT XYZ). A quantitative case study was conducted using four years of operational data (2019–2022) on seawater inflow, Reverse Osmosis (RO) performance, internal water-use patterns, and Wastewater Treatment Plant (WWTP) efficiency. The analysis results show that total water loss exceeded 60% of the annual volume of seawater taken, while the Reverse Osmosis (RO) recovery rate was low, at 6.07–6.19% during 2019–2021, before increasing to 11.85% in 2022. This condition indicates a significant gap between the system's actual performance and the Zero Liquid Discharge (ZLD) target. On the other hand, although the Wastewater Treatment Plant (WWTP) has consistently achieved pollutant removal efficiencies above 95%, its contribution to overall water recovery improvement remains relatively limited. These findings confirm that integrated water balance analysis can serve as an effective diagnostic tool for linking operational inefficiencies to Zero Liquid Discharge (ZLD) readiness levels and for providing lessons applicable to water management in power generation systems with high water-use intensity.
Calculation of Erosion Rate and Conservation Efforts in the Lut Tawar Sub-Watershed Alfadhila, Hiwana; Basri, Hairul; Satriyo, Purwana; Devianti; Syakur
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.p62-73

Abstract

This study aims to analyze the level of erosion hazard (TBE) and formulate alternative soil and water conservation efforts that are appropriate to the conditions of the Lut Tawar Sub-watershed. The approach used is the integration of Geographic Information Systems (GIS) with the Universal Soil Loss Equation (USLE) method. Analysis of the magnitude of erosion (A) is carried out by calculating the rainfall erosivity factor (R), soil erodibility (K), slope length and gradient (LS), as well as plant management and conservation action factors (CP) in each land map unit (SPL). The results of the study show that the analysis of the erosion hazard level (TBE)—the potential for water erosion—indicates that the TBE value of 0.02 is included in the very light category. The TBE value in the range of 1.07–1.33 is classified as light, while the TBE value of 2.39 is included in the moderate category. Furthermore, the TBE value in the range of 3.95–6.51 indicates a severe level of erosion hazard, and the TBE value is very severe, namely 8.04 to 346.23. Overall, the TBE pattern at the site is classified as high, indicating that some SSTs are vulnerable to soil damage due to erosion. This is primarily influenced by a combination of very high actual erosion rates and relatively low Etol values in several soil types. Soil conservation efforts consist of mechanical conservation and vegetative conservation. Mechanical conservation includes the application of terracing and contour land management. Meanwhile, vegetative conservation is carried out through the planting of ground cover plants and the development of agroforestry systems on sloping land. This research can support sustainable management planning for the Lut Tawar Subwatershed and be used as a consideration in the formulation of soil and water conservation policies.

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