Mangun, Sutopo (2024) Optimalisasi Pelaksanaan Proyek Pemasangan Automatic Tank Gauge dengan Metode AHP dan TOPSIS: Studi Kasus Perusahaan Kontraktor Minyak dan Gas. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Program digitalisasi di salah satu PT X dilakukan dengan pemasangan Automatic Tank Gauge (ATG) di setiap tangki TBBM (Terminal Bahan Bakar Minyak). TBBM saat ini tersebar di 89 lokasi di seluruh wilayah Indonesia dan terbagi menjadi 5 klaster. Banyaknya jumlah lokasi serta jumlah unit ATG yang akan dipasang dan tersebar diseluruh klaster menjadi tantangan tersendiri atas keberhasilan implementasi proyek ATG. Penelitian ini berfokus kepada optimalisasi waktu dan biaya pemasangan ATG di setiap tangki TBBM serta memilih dan memprioritaskan salah satu klaster dari lima klaster proyek pemasangan ATG. Persebaran lokasi pemasangan tangki TBBM membuat kompleksitas dalam menentukan dan memprioritaskan klaster yang akan dikerjakan terlebih dahulu. Penelitian ini dilakukan dengan pendekatan prosedur optimalisasi traveling salesman problem untuk mendapatkan biaya dan waktu optimal. Setelah didapatkan waktu, biaya pada masing – masing klaster maka dilakukan pemilihan klaster pada proyek pemasangan ATG yang diprioritaskan berdasarkan pada lima kriteria utama yaitu waktu, biaya, teknis, keselamatan, dan operasional. Metode yang digunakan dalam analisis adalah AHP dan TOPSIS. Tahapan analisis terdiri dari tiga model dasar yaitu (1) mengidentifikasi kriteria yang akan digunakan dalam model, (2) komputasi AHP, (3) evaluasi alternatif dengan TOPSIS dan penentuan peringkat akhir. Hasil analisis menunjukkan bahwa yang paling optimal adalah pemasangan ATG dengan urutan klaster 2 (1,00) – klaster 1 (0,84) – klaster 3 (0,44) – klaster 4 (0,12) – klaster 5 (0,08).
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PT X's digitization initiative involves the installation of Automatic Tank Gauges (ATG) in each Tanker Terminal (TBBM) location. With TBBMs spanning 89 sites across Indonesia, organized into 5 clusters, the sheer magnitude of locations and ATG units poses a challenge to the seamless execution of the ATG project. This study aims to enhance the efficiency of ATG installation by optimizing both time and cost across the 89 TBBM tank locations. Furthermore, it addresses the selection and prioritization of one of the five clusters for ATG installation projects. The diverse distribution of TBBM tank installation sites adds complexity to determining and prioritizing the initial cluster for implementation. This research proposes an optimization procedure inspired by the traveling salesman problem, seeking the optimal cost and time allocation. Once data on time, cost, technical aspects, safety, and operational considerations are gathered for each cluster, the cluster selection is prioritized. This is achieved through a comprehensive evaluation using five main criteria: time, cost, technical feasibility, safety, and operational efficiency. To facilitate this prioritization process, a combination of Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods is employed. The methodology consists of three fundamental stages: (1) identification of criteria for the model, (2) AHP computation, and (3) evaluation of alternatives using TOPSIS, culminating in the determination of the final ranking for cluster selection in the ATG installation project. The results of the analysis show that the most optimal is the installation of ATGs in the order of cluster 2 (1.00) - cluster 1 (0.84) - cluster 3 (0.44) - cluster 4 (0.12) - cluster 5 (0.08).
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | AHP, ATG, TBBM, TOPSIS, Traveling Salesman Problem |
Subjects: | T Technology > T Technology (General) > T56.8 Project Management |
Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT) |
Depositing User: | Sutopo Sutopo |
Date Deposited: | 11 Aug 2024 07:40 |
Last Modified: | 11 Aug 2024 07:40 |
URI: | http://repository.its.ac.id/id/eprint/115320 |
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