Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Innovative: Journal Of Social Science Research Journal of Innovative and Creativity Indonesian Journal of Maritime Technology or abbreviated (ISMATECH)
Tahir, Anwar
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
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.
Modernisasi Maritim Berbasis Data di Sulawesi Selatan: Analisis Efisiensi Logistik, Kepatuhan AIS, dan Nilai Tambah Perikanan Tahir, Anwar; Parawansa, Parawansa; Kaharto, Kaharto; Reskyani, Reskyani; Katuuk, Hein Frans Jules
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.6134

Abstract

This study aims to analyze the role of digital technology in supporting maritime development in South Sulawesi, focusing on port efficiency, maritime surveillance, fisheries supply chain digitalization, and policy as well as human resource capacity. A qualitative approach was employed through secondary data analysis obtained from the Central Bureau of Statistics, regional government reports, the Ministry of Marine Affairs and Fisheries, and relevant academic literature. The findings reveal that Makassar Port experienced an increase in cargo flow from 4.1 million tons in 2019 to 5.2 million tons in 2023, yet operational efficiency remains limited due to low adoption of digital systems. The implementation of the Automatic Identification System (AIS) and satellite monitoring reduced illegal fishing cases by 18% over the past two years, while supply chain digitalization through IoT and blockchain improved distribution efficiency by up to 25% at the pilot scale. The success of technology integration strongly depends on policy support, incentives, and maritime digital literacy programs. This study highlights that maritime modernization in South Sulawesi requires a systemic approach that integrates ports, surveillance, supply chains, and human resource development in a comprehensive manner.
Co-Authors Gusrah, Gusrah Kaharto, Kaharto Katuuk, Hein Frans Jules Muslihati Ningrat, Andi Parawansa, Parawansa Reskyani Reskyani, Reskyani Rusnaedi