Publication Search

Industrial hygiene is a branch of public health research that aims to prevent illness and promote Industrial hygiene is an aspect of public health that prioritizes health protection measures for workers through the identification, evaluation, and control of various elements of the work environment that can cause health problems. The goal of implementing industrial hygiene is to prevent work-related illnesses and create a safe, healthy work environment that supports workers’ well-being. Industrial Safety and Health (IS&H) encompasses these various components, including risk identification, risk assessment, risk mitigation, and worker health monitoring, waste management, and emergency response planning. Workplace risks can include physical, chemical, biological, psychological, and ergonomic hazards. Hazard analysis is a crucial step in industrial hygiene as it helps identify and document potential health risks in the workplace. The hazard analysis process includes hazard identification, risk assessment, hazard prioritization, and risk control. The implementation of Occupational Safety and Health aims to ensure the protection of employees’ safety and health from potential hazards arising from work, while ensuring a safe and sustainable work environment. The implementation of OSH and environmental health also provides broad strategic benefits such as worker protection, cost efficiency, increased productivity, regulatory compliance, and enhanced corporate reputation.  

Changes in labor regulations through the Job Creation Law have brought significant changes to the employment system in Indonesia, particularly in terms of labor flexibility. This study aims to analyze labor flexibility after the implementation of the Job Creation Law from the perspective of Human Resource Management (HRM). The research method used is a qualitative approach through a literature study with thematic analysis of 16 scientific journals, books, and regulations related to labor flexibility and strategic Human Resource Management (HRM) practices. The results show that labor flexibility has positive impacts on companies in improving operational efficiency, productivity, and adaptability to market changes. However, on the other hand, such flexibility also creates several challenges, including job uncertainty, decreased job security, and reduced protection for contract and outsourced workers. From the HRM perspective, companies are required to create a balance between business interests and labor protection in order to maintain harmonious industrial relations. This study is expected to provide a more comprehensive understanding of labor flexibility as part of human resource management strategies in the post-labor deregulation era in Indonesia.

Somongari Tourism Village in Indonesia's Purworejo Regency is the site of this research on the ways in which community-based creative economy development could promote ecotourism. As a destination rich in natural, cultural, and historical assets, Somongari demonstrates significant potential to integrate creative industries into tourism practices. Examining community involvement, entrepreneurship, and government, this study used a qualitative descriptive technique to gather data via observation, recording, and interviews.Findings reveal that creative economy initiatives—such as culinary innovation, agro-tourism, cultural storytelling, and digital promotion—strengthen destination attractiveness while generating income for residents. Innovation, inclusion, and intergenerational colaboration are greatly enhanced when women and youths are involved. Community ownership and fair distribution of benefits are reinforced via participatory governance and collective management. Limited product diversi-fication, reliance on seasonal tourism, and limitations in management competence are some of the difficulties that continue to exist. The study concludes that community-based creative economy development provides a strategic pathway for sustainable tourism by integrating economic empowerment, cultural preservation, and social participation. Strengthening entrepreneurship, enhancing digital marketing, diversifying tourism products, and fostering stakeholder collaboration are essential to improving competitiveness and resilience. This study contribute to the discourse on sustainable rural tourism by demonstrating how creative economy initiatives can serve as instruments of empowerment and sustainable destination development.

Kesadaran masyarakat terhadap pentingnya produk makanan yang berlabelisasi halal semakin meningkat seiring dengan pesatnya perkembangan industri halal dunia. Selain itu, Halal bukan sekadar totalitas hukum agama, tetapi juga menjadi strategi dalam memperluas segmentasi pemasaran suatu produk yang berlabelisasi halal di tingkat internasional. Namun, dari hasil observasi di lapangan ditemukan bahwa masyarakat muslim Bali, khusus Dusun Wanasari yang belum menyadari arti penting dari labelisasi halal. Tujuan penelitian ini dilakukan untuk menganalisis kesadaran masyarakat muslim Bali terhadap labelisasi halal dalam produk makanan. Tujuan penelitian ini adalah untuk mengetahui; 1) kesadaran pelaku usaha muslim Bali terhadap labelisasi halal dalam produk makanan; dan 2) kesadaran masyarakat muslim Bali terhadap labelisasi halal dalam produk makanan. Metode yang digunakan adalah kualitatif deskriptif, dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi, serta keabsahan data menggunakan triangulasi. Hasil penelitian akan dituangkan secara deskriptif. Hasil penelitian menunjukkan bahwa 1) kesadaran pelaku usaha muslim Bali terhadap labelisasi halal masih rendah. Hanya dua produk yang bersertifikat halal, sementara sebagian besar masyarakat masih mengandalkan keyakinan agama sebagai tolok ukur kehalalan. 2) kesadaran masyarakat muslim Bali terhadap label halal tergolong cukup baik, namun label halal bukan menjadi faktor utama dalam keputuskan pembelian. Selama aman untuk dikonsumsi. hal ini, tidak lepas dari kenyataan tidak semua produk tanpa labelisasi halal dianggap haram.

This study investigates the integration of digital twin technology and machine learning for predictive analysis in smart mechanical systems. The research emphasizes the role of intelligent computational frameworks in improving industrial monitoring, predictive maintenance, and operational efficiency within Industry 4.0 environments. A qualitative content analysis approach was employed by reviewing scientific literature, industrial reports, and previous studies related to digital twins, artificial intelligence, and predictive analytics. The findings indicate that digital twin architectures supported by machine learning algorithms can significantly enhance real-time monitoring, fault prediction accuracy, and maintenance optimization. The integration of IoT devices, cloud computing, and intelligent analytics also improves industrial sustainability, reduces operational downtime, and supports data-driven decision-making processes. Furthermore, the study identifies several technological challenges, including cybersecurity risks, data integration complexity, and computational limitations. Overall, the proposed intelligent digital twin framework provides a promising approach for future industrial innovation and sustainable smart mechanical system management

Hot material dumping in the chemical industry is an important process stage that affects occupational safety, process stability, and product quality reliability. In manual processes, dumping activities may cause variation because they are influenced by operator condition, pouring angle, work speed, and exposure to hot materials. This study aims to analyze the consistency of the hot material dumping process and formulate a B2B strategy based on process reliability. The research method uses a descriptive-quantitative case study approach with data from 20 batches, analyzed through three indicators: dumping time, pouring flow stability, and material temperature change or ΔT. The data were primary data obtained directly through field observation, production-process documentation, and recording of process parameters; journal literature was used only as the theoretical and interpretive basis. The results show that the automated process provides more consistent performance than the manual process. The average dumping time decreased from 49.14 seconds to 30.18 seconds, the coefficient of variation for dumping time decreased from 12.44% to 1.36%, the pouring flow stability score increased from 2.55 to 4.70, and the average material ΔT decreased from 15.26°C to 8.16°C. These findings indicate that automation can improve process regularity, reduce variation between batches, and maintain material conditions in a more controlled manner. This process consistency can serve as the basis for a B2B strategy based on process reliability, emphasizing process reliability, production safety, quality consistency, and data-based evidence as key values in building industrial customer trust.

The rapid growth of the global halal economy has positioned halal products and services as important contributors to international trade, economic development, and evolving consumer markets. This study investigates the role of halal consumer protection law in supporting the advancement of the halal economy from both legal and economic perspectives. Employing a qualitative approach with a juridical normative framework, this research examines regulatory structures, halal certification mechanisms, consumer protection principles, and the broader economic implications of halal governance. The findings indicate that effective halal consumer protection frameworks are essential for establishing legal certainty, preserving product authenticity, strengthening consumer trust, and improving market transparency. From an economic perspective, comprehensive halal regulations contribute to enhancing product competitiveness, expanding global market access, encouraging industrial innovation, attracting investment, and promoting sustainable economic growth. Nevertheless, this study highlights several ongoing challenges, including the lack of harmonization among international halal standards, limited regulatory enforcement capacity, the financial burden of certification processes for micro, small, and medium enterprises (MSMEs), and the increasing complexity of digital trade and cross-border e-commerce.

This study examines the transformation of business education curricula in response to the rapid expansion of the digital economy. The increasing integration of artificial intelligence, big data analytics, cloud computing, and digital platforms has significantly reshaped industrial demands and professional competencies. Using a qualitative research approach and content analysis, this study explores the challenges and strategic opportunities associated with curriculum transformation in higher education institutions. The findings reveal that universities face critical challenges related to technological infrastructure, faculty readiness, curriculum relevance, and industry alignment. However, digital transformation also provides opportunities for interdisciplinary learning, experiential education, global collaboration, and technology-driven innovation. The study emphasizes the importance of adaptive leadership, faculty development, industry partnerships, and student-centered pedagogies in supporting sustainable curriculum reform. Ultimately, transforming business education curricula is essential for preparing graduates with digital competencies, critical thinking abilities, and innovative skills necessary to compete effectively in the global digital economy.

Lead (Pb²⁺) is a hazardous heavy metal commonly found in industrial wastewater and poses serious risks to human health and the environment due to its toxic and non-biodegradable nature. Therefore, an effective and environmentally friendly treatment method is required to reduce Pb²⁺ concentration in wastewater. This study aimed to evaluate the effect of pH and initial Pb²⁺ concentration on the adsorption capacity of ramie leaf (Boehmeria nivea) bioadsorbent activated with NaOH. The adsorption process was conducted using a batch system with pH variations of 4, 5, and 7 and initial Pb²⁺ concentrations of 20, 25, and 30 mg/L. The residual Pb²⁺ concentration was analyzed using Atomic Absorption Spectrophotometry (AAS), and the adsorption performance was evaluated based on removal efficiency and adsorption capacity (Qe). The results showed that pH and initial Pb²⁺ concentration significantly affected the adsorption performance. The optimum adsorption condition was obtained at pH 5, with a maximum removal efficiency of 99.20% and a total adsorption capacity of 18.56 mg/g. The increase in pH from 4 to 5 enhanced adsorption performance due to reduced competition between H⁺ and Pb²⁺ ions for active sites on the adsorbent surface. Increasing the initial Pb²⁺ concentration tended to increase adsorption capacity, although removal efficiency remained relatively stable due to the limited number of active adsorption sites. The Relative Standard Deviation (RSD) values ranged from 1.56% to 3.37%, indicating good precision and repeatability of the experimental data. These findings demonstrate that NaOH-activated ramie leaves have considerable potential as an effective, low-cost, and environmentally friendly bioadsorbent for Pb²⁺ removal from wastewater.

Aromatherapy is the use of essential oils derived from natural materials to improve physical and psychological well-being. One of the most popular aromatherapy products is the aromatherapy candle, which provides relaxation while creating a comfortable atmosphere. This study aimed to develop aromatherapy candles based on agarwood (Aquilaria malaccensis) leaf extract, evaluate product quality, analyze public acceptance, and identify their potential as an entrepreneurial opportunity. This study employed an experimental method with a descriptive approach. The research stages included the extraction of agarwood leaves through a distillation process, the formulation of aromatherapy candles, product validation by three experts using sensory evaluation, and a public acceptance test involving 40 respondents using a Likert-scale questionnaire. The results showed that the third experiment produced the best extract characteristics, including a golden-yellow color, a stronger distinctive agarwood aroma, and an oily texture. The public acceptance test indicated that the average scores for color, texture, ease of use, and aroma were 3.16, 2.90, 3.42, and 3.02, respectively, which were categorized as good to very good. These findings demonstrate that agarwood leaf extract has the potential to be used as an alternative ingredient in the production of aromatherapy candles, in addition to receiving a high level of public acceptance, the product possesses economic value and can be developed as an innovative product and entrepreneurial opportunity in the beauty, spa, wellness, and creative industries.

Vandalism is a social problem affecting public space quality, urban aesthetics, and the effectiveness of public facilities utilization. Karawang Regency, as a developing industrial area, faces challenges related to increasing acts of vandalism targeting public facilities, open spaces, and government and private assets. This study aims to analyze preventive efforts carried out by the Civil Service Police Unit (Satpol PP) of Karawang Regency using J. Salusu’s public sector strategic management perspective. This research employed a qualitative approach with a descriptive case study method. Data were collected through observation, interviews, and documentation involving Satpol PP officers and public facility users. Data analysis consisted of data reduction, data display, and conclusion drawing with source, technique, and time triangulation. The findings indicate that preventive strategies have been implemented through four strategic management phases. In the identification phase, Satpol PP recognized vandalism patterns but lacked systematic mapping of vulnerable locations. In the development phase, institutional strengths existed alongside limitations in resources and innovation. In the resolution phase, strategies focused on socialization, routine patrols, and cross-sector collaboration. In implementation and evaluation, preventive programs operated adaptively but still encountered limitations in personnel capacity and public participation. Strengthening technology utilization, human resources, and collaborative governance is necessary to improve long-term preventive effectiveness.

Diesel engines are widely used in the transportation and industrial sectors due to their high thermal efficiency and good operational durability. However, increased fuel consumption due to inefficiency of the injection system remains a common problem. Injector characteristics, particularly nozzle diameter and injection pressure, are important factors that affect the quality of fuel atomization, air-fuel mixing, and combustion efficiency. An inappropriate combination of parameters can cause suboptimal combustion and increase fuel consumption. This study aims to analyze the effect of variations in nozzle diameter and injection pressure on fuel consumption efficiency in diesel engines. The method used is an experiment with variations in nozzle diameter of 0.150 mm, 0.152 mm, and 0.154 mm and injection pressures of 400 bar, 420 bar, and 440 bar. Tests were conducted at engine speeds of 500 rpm, 1000 rpm, and 1500 rpm with a fuel consumption measurement time of one minute for each parameter combination. Fuel consumption was measured using the volumetric method and analyzed through the fuel volumetric flow rate, fuel mass flow rate, Brake Power (BP), and Brake Specific Fuel Consumption (BSFC). The results showed that the combination of a nozzle diameter of 0.150 mm and an injection pressure of 400 bar produced the lowest BSFC value, thus providing the best fuel consumption efficiency. Meanwhile, the combination of a nozzle diameter of 0.152 mm and an injection pressure of 420 bar showed the closest condition to optimal because it was able to provide a balance between atomization quality and the amount of fuel injected, resulting in efficient and stable combustion. Thus, the efficiency of a diesel engine is influenced by the balance of nozzle size and injection pressure, not solely by the lowest fuel consumption.

Wastewater Treatment Plant (WWTP) pada kawasan industri konvensional umumnya masih mengandalkan strategi pemeliharaan berbasis interval waktu yang tetap. Pendekatan tersebut berisiko menyebabkan penurunan performa pompa yang tidak teridentifikasi secara dini serta meningkatkan potensi pemborosan energi operasional. Penelitian ini mengembangkan Green Maintenance Framework berbasis machine learning untuk meningkatkan reliabilitas pompa sirkulasi pada sistem Moving Bed Biofilm Reactor (MBBR). Analisis dilakukan menggunakan dataset telemetri multi-sensor yang mencakup parameter getaran, temperatur, tekanan, debit aliran, dan rotasi per menit (RPM). Proses rekayasa fitur diterapkan melalui pembentukan System Efficiency Index untuk meningkatkan sensitivitas model terhadap indikator degradasi kinerja pompa. Model prediktif dibangun menggunakan algoritma Random Forest Classifier dengan skema pembagian data 80:20 secara stratified. Hasil pengujian menunjukkan bahwa model menghasilkan tingkat akurasi klasifikasi sebesar 100%, dengan variabel Vibration dan Temperature menjadi parameter yang paling dominan dalam proses prediksi. Analisis operasional memperlihatkan bahwa degradasi pompa menyebabkan penurunan flow rate meskipun nilai rotasi per menit (RPM) mengalami peningkatan, sehingga memicu kenaikan konsumsi energi dan meningkatkan risiko gangguan pada proses biologis Moving Bed Biofilm Reactor (MBBR). Dari aspek ekonomi, kondisi tersebut menyebabkan pemborosan energi sebesar 5.623 kWh atau setara Rp6.271.236, - per bulan untuk setiap unit pompa. Penelitian ini berkontribusi pada pengembangan sistem predictive maintenance berbasis kecerdasan buatan untuk mendukung efisiensi energi serta implementasi green manufacturing di kawasan industri.

Chemical exposure during the dyeing process in the Textile industry has the potential to cause health problems, particularly allergic reactions mediated by Immunoglobulin E (IgE). Non-compliance with the use of Personal Protective Equipment (PPE) may increase the risk of chemical exposure through inhalation and skin contact, thereby triggering an allergic immune response characterized by elevated total IgE levels in the blood. This study aimed to determine the relationship between compliance with the use of Personal Protective Equipment (PPE) and total Immunoglobulin E (IgE) levels among Textile industry workers. This research was an analytic observational study with a cross-sectional design. The sample consisted of 15 Textile industry workers who met the inclusion and exclusion criteria, selected using purposive sampling technique. Data on PPE compliance were obtained through questionnaires and interviews, while total IgE levels were measured using the Electrochemiluminescence Immunoassay (ECLIA) method. The relationship analysis was conducted using Fisher’s Exact test. The results showed a significant relationship between PPE compliance and total IgE levels (p<0.05). It can be concluded that there is a significant association between compliance with the use of Personal Protective Equipment and total Immunoglobulin E (IgE) levels among Textile industry workers.

Perkembangan industri fashion muslim di Surabaya yang pesat diiringi dengan persaingan yang ketat antar pedagang. Penelitian ini bertujuan menganalisis pengaruh kualitas produk, harga, dan kreativitas terhadap pendapatan usaha pedagang fashion muslim di Pasar Atom Surabaya. Menggunakan pendekatan kuantitatif asosiatif, data primer diperoleh melalui kuesioner dari 50 responden yang dipilih dengan teknik purposive sampling. Analisis regresi linear berganda digunakan setelah uji validitas, reliabilitas, dan uji asumsi klasik. Hasil penelitian menunjukkan bahwa kualitas produk tidak berpengaruh signifikan terhadap pendapatan usaha (p=0,263), harga berpengaruh positif dan signifikan (p=0,000; B=0,565), dan kreativitas berpengaruh positif dan signifikan dengan koefisien tertinggi (p=0,000; B=0,633). Secara simultan ketiga variabel berpengaruh signifikan terhadap pendapatan usaha (F=61,629; p=0,000) dengan Adjusted R² sebesar 0,788. Temuan ini mengindikasikan bahwa dalam konteks pasar tradisional modern, kreativitas dan strategi harga lebih menentukan pendapatan dibandingkan kualitas produk. Implikasi manajerial bagi pedagang adalah memprioritaskan kreativitas dan fleksibilitas harga serta mempertahankan kualitas pada tingkat standar layak jual.

This study aims to analyze the effect of cutting parameters on surface roughness in the turning process of AISI 1045 steel. The investigated parameters include cutting speed, feed rate, and depth of cut. A quantitative approach was employed using multiple linear regression analysis with SPSS software. The dataset consisted of 30 simulated experimental observations with varying cutting parameter conditions. Prior to regression analysis, classical assumption tests including normality, multicollinearity, and heteroscedasticity tests were conducted to ensure the validity of the model. The results indicated that all assumptions were satisfied. The findings reveal that simultaneously, all independent variables have a significant effect on surface roughness with a coefficient of determination of 82.1%. Partially, Feed rate and cutting speed significantly influence surface roughness, while depth of cut does not show a significant effect. Feed rate is identified as the most dominant variable affecting surface roughness, where an increase in Feed rate leads to higher roughness values. In contrast, increasing cutting speed tends to reduce surface roughness. This study highlights the importance of controlling cutting parameters, particularly Feed rate and cutting speed, to improve machining quality. The results provide practical implications for manufacturing industries in optimizing machining parameters to achieve better surface quality and process efficiency.

Python programming has become a fundamental competence in the digital era, yet students often struggle to transform algorithmic logic into functional code. This gap between conceptual understanding and practical implementation skills requires a thorough investigation into learning challenges within the Industrial Informatics Engineering Technology (TRIN) program at Politeknik Manufaktur Bandung. Grounded in Bloom's Revised Taxonomy and Cognitive Load Theory, this descriptive quantitative study utilized a Likert-scale questionnaire and an objective comprehension test administered to 87 third-year students. Data were analyzed using descriptive statistics to map performance across three aspects: conceptual understanding, syntactic comprehension, and implementation ability. Results indicate the conceptual aspect achieved the highest average of 4.15, followed by syntax at 3.56 and implementation at 3.54, with objective test accuracy rates of 76.09%, 65.52%, and 67.36%, respectively. Major obstacles identified include difficulties with looping, debugging, and comparison operators. Therefore, enhanced structured practice and Project-Based Learning approaches are recommended to strengthen students' implementation competencies.

In the era of the Industrial Revolution 4.0 and Society 5.0, digital technology is developing rapidly. This has prompted the world of education to make major changes in learning methods, including in Islamic Religious Education (PAI). Until now, PAI has used outdated methods. These methods are inadequate to meet the needs of children who are accustomed to technology. Therefore, there is a need for technology integration in the learning process. This study aims to determine how to use E-Learning, Learning Management Systems (LMS), and Artificial Intelligence (AI) in PAI learning. This study also aims to determine the benefits, challenges, and strategies for implementing these technologies. This study used a qualitative approach with a literature review type. Data were obtained from various sources, such as books, scientific articles, journals, and relevant documents. The results show that the use of E-Learning, LMS, and AI can improve the quality of PAI learning. E-Learning makes learning easier and more flexible. LMS helps manage learning more systematically. AI helps make learning more personalized and tailored to students' needs. However, the implementation of these technologies still faces several challenges, such as limited infrastructure and low digital skills of teachers and students. Therefore, a strategy is needed to address these challenges. This strategy includes enhancing digital capabilities, strengthening technological infrastructure, developing innovative learning media, and monitoring the use of technology based on Islamic values. This will ensure optimal integration of technology into Islamic Religious Education learning.

This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.