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All Journal Jurnal Multidisiplin West Science Science Information System and Technology
Hidayat, Deddy
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Computer Science & IT Economics, Econometrics & Finance

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Pengaruh Pengembangan Aplikasi Mobile, Internet of Things (IoT), dan Kualitas Sistem terhadap Kepuasan Pengguna pada Industri Manufaktur di Jakarta Fildansyah, Rully; Hidayat, Deddy; Muthmainah, Hanifah Nurul
Jurnal Multidisiplin West Science Vol 3 No 08 (2024): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v3i08.1582

Abstract

Penelitian ini menyelidiki dampak dari pengembangan aplikasi mobile, integrasi Internet of Things (IoT), dan kualitas sistem terhadap kepuasan pengguna dalam industri manufaktur di Jakarta. Pendekatan penelitian kuantitatif digunakan, dengan mengumpulkan data dari 80 responden melalui kuesioner terstruktur yang menggunakan skala Likert mulai dari 1 hingga 5. Analisis data yang dilakukan dengan menggunakan SPSS versi 26 menunjukkan bahwa semua hipotesis yang diajukan positif dan signifikan secara statistik. Temuan ini menunjukkan bahwa kemajuan dalam pengembangan aplikasi mobile, adopsi teknologi IoT, dan peningkatan kualitas sistem secara signifikan berkontribusi terhadap peningkatan kepuasan pengguna. Di antara faktor-faktor tersebut, kualitas sistem muncul sebagai prediktor terkuat untuk kepuasan, diikuti oleh pengembangan aplikasi mobile dan integrasi IoT. Studi ini menggarisbawahi pentingnya inovasi teknologi dan keandalan sistem dalam mencapai kepuasan pengguna di sektor manufaktur di Jakarta, serta memberikan wawasan yang berharga bagi para praktisi industri dan pembuat kebijakan.
Application of Artificial Intelligence to Improve Production Process Efficiency in Manufacturing Industry Yahya, Lucky Mahesa; Suharni, Suharni; Hidayat, Deddy; Vandika, Arnes Yuli
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1221

Abstract

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted the manufacturing industry, offering transformative potential to enhance production process efficiency. This paper presents a systematic literature review of AI applications in the manufacturing sector, focusing on key AI technologies such as machine learning, robotics, predictive analytics, and natural language processing. The review highlights how these technologies have improved quality control, resource management, and overall operational performance. However, the adoption of AI also presents challenges, including significant investment costs, the need for a skilled workforce, and concerns over data security and privacy. Despite these challenges, the integration of AI in manufacturing presents numerous opportunities for future research and innovation, particularly in the areas of sustainable manufacturing and the convergence of AI with other emerging technologies. This study concludes that while AI offers substantial benefits for production efficiency, its successful implementation requires careful strategic planning and investment in both technology and human resources.
Co-Authors Arnes Yuli Vandika Fildansyah, Rully Muthmainah, Hanifah Nurul Suharni Suharni Yahya, Lucky Mahesa