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All Journal Jurnal Multidisiplin West Science West Science Interdisciplinary Studies West Science Nature and Technology
Khamaludin Khamaludin
Universitas Islam Syekh-Yusuf
Humanities 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.
Co-Authors Devi Susiati Erlin Dolphina Hanifah Nurul Muthmainah Loso Judijanto Mahmudin Mahmudin Sudarmanto, Eko Tirangga Ansori Vina Karina Putri