ANALISIS FAKTOR PENGHAMBAT PRODUKTIVITAS ALAT AUTOMATED STACKING CRANES (ASC) DI CONTAINER YARD (CY) PT TERMINAL TELUK LAMONG

BINTANG ARYA MAHASYAHPUTRA, . (2025) ANALISIS FAKTOR PENGHAMBAT PRODUKTIVITAS ALAT AUTOMATED STACKING CRANES (ASC) DI CONTAINER YARD (CY) PT TERMINAL TELUK LAMONG. Diploma thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Produktivitas Automated Stacking Crane (ASC) memiliki peran penting dalam mendukung kelancaran kegiatan bongkar muat peti kemas di Container Yard (CY) PT Terminal Teluk Lamong. Namun, dalam praktiknya, ASC masih menghadapi berbagai kendala teknis dan operasional yang berdampak pada efektivitas kinerjanya. Penelitian ini bertujuan untuk menggali dan memahami faktor-faktor yang menghambat produktivitas ASC serta mengidentifikasi faktor dominan yang paling berpengaruh, dengan menggunakan pendekatan kualitatif. Data dikumpulkan melalui wawancara mendalam terhadap enam narasumber dari berbagai divisi operasional, observasi tidak langsung, serta analisis dokumen internal perusahaan. Data dianalisis menggunakan diagram Fishbone untuk mengelompokkan penyebab ke dalam lima aspek utama (Man, Method, Equipment, Supporting Equipment, Infrastructure), kemudian dilanjutkan dengan analisis Pareto berdasarkan prinsip 80/20 untuk menentukan faktor dominan. Hasil penelitian menunjukkan bahwa tiga faktor utama yang paling memengaruhi penurunan produktivitas ASC adalah metode/proses operasional, permasalahan pada alat (Equipment), dan keterbatasan sumber daya manusia. Isu utama meliputi perubahan pola operasi yang menambah kompleksitas gantry, keterbatasan jumlah ASC aktif, serta jumlah dan beban kerja operator yang tidak proporsional. Berdasarkan temuan tersebut, beberapa upaya cepat (quick win) yang dapat diterapkan antara lain: perbaikan sistem monitoring operator, sinkronisasi jadwal maintenance, optimalisasi algoritma job ASC, perbaikan infrastruktur rel dan sitting plate, edukasi kepada sopir eksternal, penyesuaian pola stacking, serta peninjauan kesesuaian kapal dengan kapasitas terminal. ***** The productivity of Automated Stacking Cranes (ASC) plays a crucial role in supporting the smooth handling of container loading and unloading activities at the Container Yard (CY) of PT Terminal Teluk Lamong. However, in practice, ASC operations still face various technical and operational challenges that affect their performance effectiveness. This study aims to explore and understand the factors that hinder ASC productivity and to identify the most dominant contributing factors using a qualitative approach. Data were collected through in-depth interviews with six key informants from various operational divisions, indirect observation, and analysis of internal company documents. The data were analyzed using a Fishbone diagram to categorize the root causes into five main aspects (Man, Method, Equipment, Supporting Equipment, and Infrastructure), followed by a Pareto analysis based on the 80/20 principle to determine the most dominant factors. The results indicate that the three most significant factors contributing to the decline in ASC productivity are operational methods/processes, Equipment-related issues, and human resources limitations. Key issues include changes in operational patterns that increase gantry complexity, limited availability of active ASC units, and an insufficient number of operators relative to workload. Based on these findings, several quick-win efforts can be implemented, including improving the operator monitoring system, synchronizing maintenance schedules, optimizing ASC job assignment algorithms, enhancing rail and sitting plate infrastructure, educating external truck drivers, adjusting container stacking patterns, and evaluating vessel compatibility with terminal capacity.

Item Type:	Thesis (Diploma)
Additional Information:	1). Dr. Winoto Hadi, M.T. ; 2). Prof. Dr. Henita Rahmayanti, M.Si.
Subjects:	Ilmu Sosial > Transportasi Manajemen > Manajemen , Business Teknologi dan Ilmu Terapan > Teknik Hidraulik, Pelabuhan, Irigasi
Divisions:	FT > D IV Manajemen Pelabuhan dan Logistik Maritim
Depositing User:	Bintang Arya Mahasyahputra .
Date Deposited:	05 Aug 2025 06:34
Last Modified:	05 Aug 2025 06:34
URI:	http://repository.unj.ac.id/id/eprint/57940

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