Abstract:Penelitian ini membahas pemanfaatan Artificial Intelligence (AI) dalam smart manufacturing serta perubahan peran Human Resource Development (HRD) di era Industri 4.0. Melalui studi pustaka dari berbagai jurnal nasional,…
penelitian ini menemukan bahwa AI memiliki pengaruh besar terhadap peningkatan efisiensi produksi, mulai dari predictive maintenance yang mampu mengurangi gangguan mesin hingga sistem quality inspection berbasis computer vision yang membuat proses pengecekan lebih cepat dan akurat. Di sisi lain, perkembangan teknologi ini membuat HRD harus menyesuaikan cara kerja mereka, terutama dalam hal rekrutmen, pelatihan, dan pengembangan kompetensi karyawan. HRD kini dituntut lebih memahami teknologi digital agar mampu menyiapkan tenaga kerja yang sesuai dengan kebutuhan industri modern. Hasil kajian menunjukkan bahwa peran teknologi dan HRD saling melengkapi karena penerapan AI tidak akan berjalan optimal tanpa kesiapan karyawan. Dengan demikian, perusahaan perlu mengatur strategi yang seimbang antara pemanfaatan teknologi dan penguatan kemampuan SDM.
Abstract:Perkembangan revolusi Industry 4.0 mendorong transformasi besar dalam sistem manufaktur melalui integrasi teknologi digital dan kecerdasan buatan. Machine Learning (ML) menjadi salah satu elemen kunci dalam otomasi industri…
tri karena kemampuannya memproses data secara adaptif untuk mendukung pengambilan keputusan otonom. Penelitian ini bertujuan untuk meninjau secara sistematis penerapan Machine Learning dalam sistem manufaktur otomatis dengan menyoroti tren, tantangan, serta arah penelitian masa depan. Metode yang digunakan adalah Systematic Literature Review (SLR) terhadap 30 artikel jurnal internasional terindeks Scopus, IEEE Xplore, dan ScienceDirect dalam rentang tahun 2020–2025. Hasil studi menunjukkan bahwa Machine Learning banyak diterapkan pada empat domain utama: predictive maintenance, process optimization, quality control, serta intelligent automation. Algoritma yang dominan digunakan meliputi supervised learning dan deep reinforcement learning, yang terbukti mampu meningkatkan efisiensi operasional hingga 35%. Namun demikian, isu terkait interpretabilitas model, keterbatasan data industri, serta integrasi manusia–AI masih menjadi tantangan utama. Studi ini mengusulkan kerangka konseptual AI–Driven Manufacturing Framework sebagai panduan pengembangan sistem manufaktur cerdas yang adaptif, transparan, dan berkelanjutan menuju era Industry 5.0.
Abstract:This paper explores the role of Artificial Intelligence (AI) in enhancing decision-making processes within multinational corporations. The primary issue addressed is how AI can be integrated effectively across diverse global…
obal markets, considering factors like regulatory frameworks, cultural diversity, and market dynamics. The research proposes a framework for AI implementation that ensures both operational efficiency and ethical soundness. The study employs a mixed-methods approach, combining qualitative interviews and quantitative surveys from key stakeholders in multinational corporations. Preliminary findings suggest that AI significantly improves decision-making speed and accuracy, particularly in data analysis, market trend prediction, and consumer behavior forecasting. However, challenges remain in adapting AI systems to various cultural and regulatory environments, highlighting the need for customization and local adjustments. This study contributes to understanding how AI can be applied more effectively and ethically across international markets, offering insights for future implementations in diverse business contexts.
Abstract:The Malacca Strait is a vital maritime route that faces significant challenges from high traffic volumes and increasingly frequent extreme weather scenarios. These conditions pose serious risks to navigational safety, environmental…
vironmental integrity, and maritime operational security. This study aims to analyse the needs and components of a robust maritime surveillance architecture in the Malacca Strait, particularly in dealing with the impacts of extreme weather and climate change. Additionally, this research will explore the role of geospatial maritime intelligence in enhancing situational awareness and response to maritime incidents. The study findings indicate that a resilient surveillance architecture in the Malacca Strait requires the integration of advanced sensor systems (including multi-spectral radar and meteorological/oceanographic sensors), redundant communication networks, and AI/ML-based intelligent data processing. The adaptive capabilities of the system, including the use of UAVs and USVs, are critical to maintaining operational effectiveness in adverse weather conditions. Additionally, international cooperation and a robust policy framework, encompassing climate change adaptation and ethical considerations, are fundamental to the successful implementation and sustainability of surveillance systems. The Malacca Strait case study highlights specific vulnerabilities and proposes concrete solutions, illustrating a shift from a reactive to a proactive paradigm in maritime security. Building a resilient surveillance architecture in the Malacca Strait is a strategic imperative to safeguard global trade, regional stability, and environmental sustainability amid increasing climate uncertainty. Integrating cutting-edge technology with robust policies and international collaboration will ensure the safety and security of this vital waterway, making it a model for resilient maritime governance globally. A new aspect emphasised is the importance of adapting to climate change and the role of AI in predictive decision-making. This article presents a comprehensive and integrated approach to building a resilient maritime surveillance architecture, with a particular focus on the challenges of extreme weather in the Malacca Strait. Its originality lies in its emphasis on multi-sensor data fusion, the role of artificial intelligence in predictive analytics, and the integration of climate change adaptation into surveillance system design. Additionally, the article underscores the importance of a robust policy framework and international cooperation as the cornerstones of maritime surveillance resilience, offering a blueprint applicable to other critical maritime routes worldwide
Abstract:Increased productivity in SMEs in terms of quality service delivery is crucial for economic growth and development. Most SMEs are bedevilled with destructive workplace deviant behaviour, particularly the incivility of owners/managers…
ners/managers and employees towards customers, which have different consequences for workplace performance parameters such as a decline in sales, low patronage, and by extension, weak gross domestic product contribution. Using the social exchange theory, this cross-sectional study examined the influence of workplace incivility on productivity among 365 owners/managers, supervisors, and employees of SMEs in the liquefied petroleum gas sub-sector in Lagos State. Stratified proportionate sampling was utilized to select the respondents. The outcomes revealed that workplace incivility in the form of rudeness, discourteous disposition, and derogatory remarks predicted productivity in terms of an interaction between customers and employees and the capacity of the service process. Also, our findings accentuated the essence of avoiding direct and indirect costs that are linked with workplace incivility. The study recommended the communal and positive interpersonal relationships between owners/managers, employees, and customers and suggested training on emotional intelligence as a panacea for behavioral responses.
Abstract:This research was motivated by the unpredictable Covid-19 Pandemic which forced various parties to carry out social distancing and Work from Home (WFH). This condition has an impact on school closures, students learn from…
m home and teachers teach from home. The condition of the Covid-19 pandemic as a new era of Distance Learning. Distance Learning with online/offline/hybrid learning modes as an effort to provide educational services to students. The purpose of this study was to identify and analyze the management of learning strategies in elementary schools during the Covid-19 pandemic to maintain the quality of education. The policy that underlies this research is the Decree of the Minister of Education and Culture Number 719/P/2020 concerning Guidelines for Implementing Curriculum in Education Units in Special Conditions. This research is based on George R. Terry's Theory of Management Functions, according to him “There are 4 management functions, which in the management world are known as POAC; Namely: planning, organizing, actuating and controlling. The approach in this research is a qualitative approach, with a case study type of research method. The research was conducted at Sirnagalih State Elementary School and Al Azhar Syifa Budi Parahyangan Elementary School (ASBP) West Bandung Regency with the research subjects being students. Research results: 1) Schools implement learning strategy management by preparing program plans (materials, strategies, assessments) that are adapted to the Emergency Curriculum and synergize with related parties to carry out learning during the Covid-19 pandemic. 2) Schools have carried out efforts to maintain the quality of education during the Covid-19 pandemic but have not been optimal. This is evidenced by the vast differences between one school and another. On the one hand, there are schools that implement very good distance learning with learning programs and strategies during the Covid-19 pandemic that are well planned by organizing human resources by conducting in-house training, but in other schools distance learning is carried out simply because schools have not establish learning policy guidelines during the Covid-19 pandemic. 3) Implementation of elementary school learning during the Covid-19 pandemic with online/offline/hybrid learning modes. 4) There are several obstacles in primary school learning during the Covid-19 pandemic, including the limitations of studying the Emergency Curriculum with studies on the selection of Core Competencies and Basic Competencies, the fulfillment of facilities and infrastructure, the condition of teachers who when carrying out learning still refers to student books as learning resources. 5) There are solutions to overcome obstacles including schools being required to improve teacher competence to be technology literate, designing adaptive curricula and facilitating adequate infrastructure, as well as Hybrid Learning with visiting teachers (Jarunjung). The conclusion of this study is that the management of learning strategies in elementary schools during the Covid-19 pandemic to maintain the quality of education has been attempted by implementing Distance Learning both online/offline/hybrid learning, but the results have not been optimal.
Abstract:Public administration currently refers to the professionalism of the performance of government officials in public services One of the agencies formed by the local government is the Village Office. The purpose of this study…
udy was to analyze the role of local culture in the relationship of leader member exchange to the performance of employees at the Village Office in Abiansemal District. The research is causal in nature to provide an explanation and understanding of the relationship between the leader member exchange variable, local culture and employee performance variables. The research population was all employees of the Village Office in Abiansemal District, totaling 269 employees. Questionnaires that have been tested for validity and reliability were given to 73 respondents. Methods of data collection by observation, interviews, documentation, literature and questionnaires. The method of determining the sample with a saturated sample and the method of analysis using descriptive analysis and inferential analysis with Partial Least Square (PLS) analysis. The results show that the leader member exchange variable has an effectsignificanton employee performance, local culture has an effect positive and significant on employee performance.Local culture is not able to moderate the influenceleader member exchangeon employee performance but tends to be a predictor variable because it has positive but not significant results.