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All Journal Innovative: Journal Of Social Science Research Indonesian Journal of Maritime Technology or abbreviated (ISMATECH)
Tahir, Anwar
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Transportation Other

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Optimizing Container Crane Performance: Enhancing Loading and Unloading Productivity at PT. Kaltim Kariangau Terminal Ningrat, Andi; Tahir, Anwar; Rusnaedi; Reskyani; Muslihati
Indonesian Journal of Maritime Technology Vol. 2 No. 2 (2024): Volume 2 Issue 2, December 2024
Publisher : Naval Architecture Department, Kalimantan Institut of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/ismatech.v2i2.1264

Abstract

Container terminals are critical nodes in global trade, where productivity hinges on the efficiency of handling equipment like container cranes. At PT. Kaltim Kariangau, a terminal jointly managed by PT. Pelindo and the East Kalimantan provincial government, operational challenges persist despite infrastructure enhancements. In 2023, an additional crane was introduced to the terminal, increasing the total to three. However, issues such as prolonged idle times and equipment malfunctions adversely impacted crane efficiency. This research evaluates crane performance using BCH (Box/Crane/Hour) and BSH (Box/Ship/Hour) metrics to assess their effect on loading and unloading productivity. The analysis reveals that in 2023, the average crane performance was 27 boxes/hour, a level classified as good. Paradoxically, overall productivity declined post-crane addition compared to prior operations. Using regression analysis, the study identifies a strong positive correlation (R = 0.7316) between crane performance and terminal productivity, with a coefficient of determination (R²) indicating that crane efficiency accounts for 54% of productivity variations. The findings highlight that improved crane performance directly enhances operational output, where each unit increase in BCH corresponds to a 1.809-unit rise in productivity. Hypothesis testing confirms that crane performance significantly influences loading and unloading efficiency. These results underscore the need for effective equipment utilization and maintenance strategies to optimize terminal operations. The research concludes that while infrastructure upgrades are essential, addressing operational inefficiencies is critical to achieving sustainable productivity improvements.
Pengembangan Kompetensi Karyawan Berbasis AI untuk Meningkatkan Produktivitas Pada PT Indomarco Prismatama Tbk. Tahir, Anwar; Parawansa, Parawansa; Gusrah, Gusrah
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.17498

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh kompetensi pegawai berbasis kecerdasan buatan (Artificial Intelligence/AI) terhadap produktivitas karyawan di PT Indomarco Prismatama Tbk. Metode penelitian yang digunakan adalah kuantitatif dengan pendekatan survei. Populasi dalam penelitian ini adalah seluruh karyawan yang bekerja di bagian operasional dan manajerial perusahaan. Sampel diambil menggunakan teknik purposive sampling, dengan total 99 responden yang dipilih berdasarkan relevansi tugas dengan penerapan teknologi AI. Hasil penelitian menunjukkan bahwa kompetensi berbasis AI memiliki pengaruh signifikan terhadap peningkatan produktivitas karyawan. Analisis regresi menunjukkan nilai koefisien determinasi sebesar 68,9%, yang berarti bahwa kompetensi berbasis AI menjelaskan sebagian besar variabilitas produktivitas karyawan. Temuan ini menegaskan pentingnya program pelatihan dan pengembangan SDM berbasis teknologi untuk mendukung efisiensi operasional dan pertumbuhan bisnis perusahaan.
Co-Authors Gusrah, Gusrah Muslihati Ningrat, Andi Parawansa, Parawansa Reskyani Rusnaedi