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All Journal Jurnal Multidisiplin West Science Jurnal Ekonomi dan Kewirausahaan West Science West Science Interdisciplinary Studies West Science Nature and Technology Journal of Social Entrepreneurship and Creative Technology
Khamaludin Khamaludin
Universitas Islam Syekh-Yusuf
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Social Sciences

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Food Processing Technology Innovation to Improve Food Quality, Safety and Availability Khamaludin Khamaludin
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.223

Abstract

This research explores the role of food processing technology innovation in addressing critical challenges related to food quality, safety, and availability in West Java Province, Indonesia. The study employs a mixed-methods approach, combining surveys, interviews, laboratory analysis, and case studies to comprehensively examine the current state of food processing practices, evaluate innovative technologies, assess their impact, and provide recommendations for improvement. The findings reveal the persistence of traditional processing practices, infrastructure challenges, and a digital divide between urban and rural areas. However, promising innovations in advanced machinery, preservation techniques, biotechnology, food safety technologies, and sustainability initiatives are emerging. These innovations enhance food quality, safety, and availability. Recommendations include promoting technology access, infrastructure development, knowledge transfer, and policy support. By addressing these challenges and embracing technology-driven solutions, West Java Province can transition toward a more efficient, safe, and sustainable food processing sector, benefiting both the industry and consumers.
The Influence of Technology, Policy, and Environmental Awareness on Energy Efficiency and Conservation in Industrial Estates in Tangerang City Loso Judijanto; Khamaludin Khamaludin; Eko Sudarmanto; Erlin Dolphina
West Science Nature and Technology Vol. 1 No. 02 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i02.490

Abstract

This research investigates the intricate interplay between environmental awareness, policy compliance, technology adoption, and energy efficiency and conservation within the dynamic landscape of the Tangerang City Industrial Estate. Leveraging a quantitative approach, the study surveyed 150 participants to analyze the relationships among these key variables. The results reveal significant and positive associations, indicating that organizations fostering environmental consciousness, adhering to energy-related policies, and embracing advanced technologies exhibit heightened levels of energy efficiency and conservation. The structural model's robust fit, assessed through various indices, underscores the reliability of the identified relationships. The findings offer valuable insights for policymakers, industry stakeholders, and researchers seeking to promote sustainability in industrial practices.
Analisis Dampak Penggunaan Energi Terbarukan, Efisiensi Energi, dan Teknologi Hijau pada Pengurangan Emisi Karbon di Industri Manufaktur Kota Tangerang Loso Judijanto; Vina Karina Putri; Tirangga Ansori; Khamaludin Khamaludin
Jurnal Multidisiplin West Science Vol 2 No 12 (2023): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v2i12.860

Abstract

Penelitian ini menyelidiki hubungan yang rumit antara penggunaan energi terbarukan, langkah-langkah efisiensi energi, adopsi teknologi ramah lingkungan, dan pengurangan emisi karbon di industri manufaktur di Kota Tangerang. Analisis kuantitatif dengan menggunakan Structural Equation Modeling (SEM) dilakukan terhadap sampel 150 perusahaan manufaktur. Statistik deskriptif, penilaian model pengukuran, dan analisis model struktural digunakan untuk mengevaluasi dampak dari praktik-praktik berkelanjutan terhadap emisi karbon. Hasilnya menunjukkan adanya hubungan positif yang signifikan antara penggunaan energi terbarukan, efisiensi energi, dan adopsi teknologi ramah lingkungan, serta pengurangan emisi karbon yang substansial. Temuan ini memberikan wawasan yang berharga bagi para pembuat kebijakan, pemangku kepentingan industri, dan pendukung lingkungan yang ingin meningkatkan praktik-praktik keberlanjutan di sektor manufaktur.
The Effect of Artificial Intelligence Adoption, Demand Prediction, and Production Planning on Operational Efficiency in the Textile Industry in Jakarta Loso Judijanto; Khamaludin Khamaludin; Mahmudin Mahmudin; Devi Susiati; Hanifah Nurul Muthmainah
West Science Interdisciplinary Studies Vol. 2 No. 02 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i02.669

Abstract

This research investigates the impact of Artificial Intelligence (AI) adoption, demand prediction, and production planning on operational efficiency within the textile industry in Jakarta. A quantitative approach, employing surveys and statistical analysis, was undertaken with a diverse sample of 150 participants representing various company sizes and industry tenures. The study reveals a moderate level of AI adoption, with machine learning algorithms and predictive analytics being prevalent. While perceived benefits include improved production efficiency and enhanced quality control, challenges such as initial investment costs and the need for skilled personnel underscore the nuanced landscape of AI integration. The effectiveness of demand prediction is moderate, with traditional methods prevailing but advanced analytics demonstrating higher efficacy. Production planning strategies exhibit a positive correlation with Industry 4.0 principles, showcasing their role in enhancing operational efficiency. Participants perceive operational efficiency positively, with significant correlations identified between AI adoption, demand prediction, production planning, and perceived efficiency. Key factors contributing to operational efficiency include streamlined processes, effective resource utilization, and adaptive production planning. The findings provide actionable insights for industry stakeholders, emphasizing the importance of a holistic approach to technology adoption and strategic planning.
The Role of IoT in Improving the Efficiency and Quality of Automated Production in Industry 4.0: A Bibliometric Review Loso Judijanto; Etika Purnamasari; Ade Suhara; Nanny Mayasari; Khamaludin Khamaludin
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1341

Abstract

This bibliometric review explores the dynamic field of talent management, focusing on the integration of digital technologies and their impact on modern organizational practices. Using VOSviewer for a systematic analysis, the study maps the evolution of key themes and trends over recent years, highlighting the central role of talent management and the significant shift towards incorporating advanced technologies like IoT, data analytics, and machine learning. The findings reveal a transformation from traditional practices to a more strategic, data-driven approach that aligns talent management with competitive business objectives. This transition not only enhances operational efficiencies but also supports a culture of continuous improvement and innovation. The study also addresses the challenges and future directions in leveraging technology for effective talent management, providing insights that are crucial for organizations aiming to maintain a competitive edge in a rapidly evolving digital landscape.
SUSTAINABLE BUSINESS MODELS FOR CREATIVE STARTUPS IN THE DIGITAL ERA Loso Judijanto; Khamaludin Khamaludin; Mahmudin Mahmudin; Ma’rifani Fitri Arisa
Journal of Social Entrepreneurship and Creative Technology Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v2i1.2055

Abstract

The rise of the digital era has transformed the way businesses operate, especially for startups in the creative industries. As digital technologies reshape market dynamics, the need for sustainable business models that can adapt to rapid changes and ensure long-term success has become crucial. Creative startups, often operating in a highly competitive and fast-evolving environment, face unique challenges in maintaining financial stability while staying innovative. This research aims to explore sustainable business models for creative startups in the digital era, identifying strategies that can drive growth, profitability, and resilience. The study uses a mixed-methods approach, combining qualitative case studies of successful creative startups with quantitative surveys to assess common practices and challenges. Findings reveal that startups employing flexible, customer-centric business models, leveraging digital tools for global reach, and emphasizing continuous innovation are more likely to achieve sustainability. Moreover, the integration of sustainable practices, such as environmentally conscious production and ethical business strategies, has shown to contribute to long-term success. The study concludes that creative startups in the digital era must adopt adaptable, tech-driven business models that prioritize customer engagement and sustainability. By embracing digital transformation, startups can not only survive but thrive in a rapidly changing business landscape.
Tren Kajian Manajemen Operasional dalam Literatur Manajemen dan Rekayasa Industri (2000 - 2026) Loso Judijanto; Khamaludin Khamaludin
Jurnal Ekonomi dan Kewirausahaan West Science Vol 4 No 02 (2026): Jurnal Ekonomi dan Kewirausahaan West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jekws.v4i02.3373

Abstract

Penelitian ini bertujuan untuk menganalisis lanskap penelitian manajemen operasional dalam bidang manajemen dan rekayasa industri periode 2000–2026 dengan menggunakan pendekatan bibliometrik. Data dikumpulkan dari Scopus dan dianalisis menggunakan VOSviewer untuk mengkaji jaringan kolaborasi penulis (co-authorship), struktur kutipan (citation), serta pola kemunculan kata kunci (keyword co-occurrence). Hasil penelitian menunjukkan bahwa kajian manajemen operasional berakar kuat pada pendekatan teknik industri dan optimisasi, yang kemudian berkembang menjadi perspektif yang lebih integratif dan multidisipliner. Munculnya tema-tema seperti inovasi, manajemen informasi, manajemen rantai pasok, dan keberlanjutan menunjukkan adanya pergeseran menuju transformasi digital dan praktik operasional yang berkelanjutan. Visualisasi overlay dan density juga menegaskan evolusi temporal dan konsentrasi topik penelitian, yang mengarah pada pentingnya strategi operasional berbasis teknologi dan keberlanjutan. Meskipun demikian, beberapa area seperti manajemen risiko dan ketahanan sistem masih relatif kurang dieksplorasi. Penelitian ini memberikan kontribusi dalam memetakan tren penelitian serta mengidentifikasi peluang pengembangan riset di masa depan.
Co-Authors Ade Suhara Devi Susiati Erlin Dolphina Hanifah Nurul Muthmainah Loso Judijanto Ma'rifani Fitri Arisa Mahmudin Mahmudin Nanny Mayasari Purnamasari, Etika Sudarmanto, Eko Tirangga Ansori Vina Karina Putri