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Di era Industri 5.0, adaptabilitas tenaga kerja menjadi urgensi utama karena terjadinya pergeseran paradigma dari fokus pada otomatisasi dan efisiensi menuju kolaborasi harmonis antara manusia dan teknologi yang berpusat pada manusia (human-centric), berkelanjutan, dan resilien. Penelitian ini menggunakan metode Systematic Literature Review (SLR) terhadap 40 artikel jurnal nasional dan internasional yang diterbitkan tahun 2020–2025 dari basis data Google Scholar, Scopus, dan Garuda. Tujuan penelitian adalah mengidentifikasi strategi upskilling dan reskilling yang efektif sebagai mekanisme adaptabilitas tenaga kerja terhadap disrupsi AI dan otomatisasi. Hasil kajian menunjukkan bahwa: (1) kesenjangan keterampilan global merupakan ancaman nyata dengan 50% karyawan membutuhkan reskilling pada 2025; (2) strategi upskilling dan reskilling yang efektif mencakup pembelajaran berbasis proyek, microlearning, platform digital adaptif, dan kemitraan industri; (3) dukungan organisasi, kepemimpinan transformasional, dan budaya belajar berkelanjutan merupakan faktor penentu keberhasilan; serta (4) hambatan utama implementasi meliputi keterbatasan anggaran, resistensi perubahan, dan kesenjangan infrastruktur digital. Temuan ini menegaskan bahwa investasi pada pengembangan modal manusia melalui program upskilling dan reskilling merupakan imperatif strategis untuk menjaga ketahanan organisasi dan daya saing tenaga kerja di era transformasi digital.

Employee performance is a critical element in organizational success, particularly in labor-intensive industries such as garment manufacturing. This study aims to analyze the effect of work stress (X1) and work environment (X2) on employee performance (Y) in garment industry companies in Semarang Regency. A quantitative descriptive approach with multiple linear regression analysis was employed. The population and sample comprised 96 employees using total sampling. Data were collected through a Likert-scale questionnaire (1–5) with 10 items per variable. All classical assumption tests (normality, multicollinearity, heteroscedasticity) were satisfied. Reliability tests yielded Cronbach's Alpha of 0.866 (work stress), 0.941 (work environment), and 0.937 (employee performance), confirming instrument reliability. Results indicate: (1) work stress has no significant partial effect on employee performance (t = 1.581; sig. = 0.117); (2) work environment has a significant positive partial effect on employee performance (t = 9.618; sig. = 0.000); (3) simultaneously, both variables significantly affect employee performance (F = 56.630; sig. = 0.000) with a coefficient of determination (R²) of 54.9%. These findings confirm that optimizing the work environment both physical and non-physical is the primary strategic priority for enhancing employee performance in the garment industry.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

This study proposes a computer vision-based system for automatically verifying the use of Personal Protective Equipment (PPE) in industrial environments. The system integrates the YOLOv8 object detection model, OpenCV for image processing, and a State Machine mechanism to manage the verification workflow. The verification process begins with employee identification through ID card scanning, followed by real-time detection of the head, safety helmet, and face mask using a camera, before generating a final PASS or FAIL decision. System evaluation was conducted using 250 testing scenarios to assess both model and system performance. The results show that the YOLOv8 model achieved an mAP@50 of 93.9%, while the overall verification system obtained 98.4% accuracy, 98.4% precision, 100% recall, and a 99.2% F1-score. The implementation of the State Machine contributed to a more stable and consistent verification process by ensuring that each inspection stage was executed in the correct sequence. These findings demonstrate that the proposed system can effectively support automated PPE compliance monitoring and has the potential to enhance occupational safety management in industrial workplaces. 

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.

Pemurnian vitamin E dari berbagai sumber bahan alami dan limbah agroindustri terus berkembang seiring meningkatnya kebutuhan industri pangan, nutraseutikal, kosmetik, dan farmasi. Berbagai metode pemurnian telah diterapkan meliputi saponifikasi, ekstraksi menggunakan pelarut, dan distilasi molekuler. Studi ini mengkaji secara sistematis perkembangan metode pemurnian vitamin E dari berbagai sumber serta mengevaluasi keunggulan, keterbatasan, serta prospek penerapan teknologi yang lebih berkelanjutan. Penelusuran literatur dilakukan terhadap publikasi dalam 10 tahun terakhir yang diperoleh dari jurnal nasional dan internasional. Hasil kajian menunjukkan bahwa sumber alami vitamin E banyak terdapat pada minyak nabati, sedangkan sumber dari limbah agroindustri dengan kandungan vitamin E tertinggi diperoleh pada Palm Fatty Acid Distillate (PFAD). Kandungan vitamin E yang bervariasi tergantung dari jenis bahan baku, kondisi proses, dan metode pemurnian yang digunakan. Studi komparatif terkait potensi kandungan vitamin E pada bahan alam dan limbah agroindustri lokal Indonesia masih terbatas, khususnya yang mempertimbangkan variasi varietas genetik. Dari aspek teknik pemurnian, metode ekstraksi konvensional memerlukan beberapa tahapan proses sehingga perlu ditinjau dari sisi efisiensi operasional dan keekonomian. Hasil kajian menunjukkan penggunaan green solvent seperti ekstraksi dengan scCO2 dan DES yang berpotensi meningkatkan keamanan proses dan keberlanjutan lingkungan. Pengembangan metode pemurnian yang efisien, ekonomis, dan ramah lingkungan menjadi kunci dalam mendukung pemanfaatan berbagai sumber vitamin E secara berkelanjutan.

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

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.

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.

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 literature review synthesizes findings from fifteen peer‑reviewed studies published between 2020 and 2026 to examine the determinants of sustainable competitive advantage in the furniture industry. The analysis reveals that green innovation, environmental performance, and market orientation interact as core drivers of competitiveness, supported by theoretical perspectives including the Resource‑Based View, Natural Resource‑Based View, Institutional Theory, Circular Economy, and Strategic Management frameworks. The review highlights how internal capabilities, regulatory compliance, and responsiveness to consumer preferences collectively shape the ability of micro, small, and medium enterprises to adapt to sustainability demands in global markets. Evidence shows that eco‑innovation practices, waste recovery strategies, and clustering models enhance efficiency and legitimacy, while indicators of green growth and brand performance provide practical tools for evaluating sustainability outcomes. The synthesis underscores that competitive advantage in this sector is not determined by isolated variables but by systemic integration across resources, operations, and market dynamics. This study contributes theoretically by consolidating fragmented insights into a coherent conceptual model and practically by offering guidance for enterprises and policymakers to foster green transformation. The findings emphasize the urgency of aligning industrial practices with ecological integrity and suggest that future research should examine cross‑country variations, longitudinal impacts, and the integration of digital technologies with sustainability strategies to strengthen the resilience of furniture enterprises in the global economy.

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.

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.

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.

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.

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.