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Journal : Proceeding Maritime Business Management Conference

ANALISIS RISIKO OPERASIONAL PADA PERUSAHAAN PELAYARAN DALAM MEMENUHI PERMINTAAN KEBUTUHAN KAPAL Angger Eka Bagus Aprilianto; Aditya Maharani; Fitri Hardiyanti
Proceeding Maritime Business Management Conference MBMC: Proceeding Maritime Business Management Conference 2022
Publisher : Program Studi D4-Manajemen Bisnis, Jurusan Teknik Bangunan Kapal, Politeknik Perkapalan Negeri Surabaya

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Abstract

One of the sea transportation companies that serve dry bulk transportation. In its journey, the company has succeeded in delivering many types of transportation with various types of cargo. The success of the trip could not be separated from the intervention of the workers in the office, especially in terms ofsupply in meeting their needs. Almost every week, the ship makes requests to the office for supplies related to the needs needed. However, in the business process it is not uncommon for various kinds of risks to occur, so that it is necessary to do countermeasures. So this study aims to identify risks in the businessprocess of meeting the demand for ship needs and their mitigation strategies. The method used in this research is the House of Risk method. By using the House of Risk method, researchers can simultaneously identify, analyze, evaluate and determine mitigation strategies. The results of research on business processes in meeting the demand for ship needs obtained 21 risk events and 28 risk agents. And the House of Risk 1 produces 16 dominant risk agents. Then 20 mitigation strategies or preventive actions wereobtained at the House of Risk 2 stage.
PENERAPAN LOGIKA FUZZY TSUKAMOTO DALAM OPTIMALISASI PERSEDIAAN MINYAK PELUMAS KAPAL KARGO CURAH Melania Fitri Ariyanti; Aditya Maharani; Devina Puspita Sari
Proceeding Maritime Business Management Conference MBMC: Proceeding Maritime Business Management Conference 2022
Publisher : Program Studi D4-Manajemen Bisnis, Jurusan Teknik Bangunan Kapal, Politeknik Perkapalan Negeri Surabaya

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Abstract

Lubricating oil vessel is a component that is essential for the smooth and operational cruise ships in the machine maintenance .The shipping companies that still do a rough guess to supply demand lubricating oil must have ripe for calculation based on a voyage made in supply , and from year to year lubricating oilprice increases , who is influential on the operational expenses costs .This research aims to obtain the lubricating oil the optimum route a to b in one trip and knows how the cost savings of the lubricating oil. Methods used in this research is fuzzy tsukamoto .The result showed 2054 liters per trip on ME and 1284 liters on AE engine the forecasting mape 7,3 %and 9,5 % .The cost of purchases demand lubricating oil on a ME engine save Rp .80.837.330 and machinery ae Rp. 53,065,812.95This research contributed to optimal lubricating oil demand in shipping per trip.
OPTIMALISASI ANGLE STUCTURAL DENGAN METODE EOQ DAN POQ PADA GALANGAN KAPAL SURABAYA Rangga Arie Brasis Putra Pratama; Renanda Nia Rachmadita; Aditya Maharani
Proceeding Maritime Business Management Conference MBMC: Proceeding Maritime Business Management Conference 2022
Publisher : Program Studi D4-Manajemen Bisnis, Jurusan Teknik Bangunan Kapal, Politeknik Perkapalan Negeri Surabaya

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Abstract

The shipbuilding company at Ujung Surabaya requires raw aluminium material to carry out its operational activities. However, in 2021 the shipyard company experienced a stockout of raw aluminum material of 152 units of structural angle material, 41 units of bar metal, 31 units of elbow, 33 units of pipe, 36 units of plate metal, 28 units of raceway, and 37 units of sheet metal. This resulted in delays in procurement activities for the KCR5 project which should have been 557 days to 635 days. Therefore, the purpose of this final project is to get the optimal number of orders and purchase frequency and to get the total cost of raw material inventory that is more efficient for the company. This study uses the Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) methods to calculate the number of economic orders, safety stock, reorder points and optimal frequency, then uses the Total Annual Cost (TAC) calculation to calculate the inventory costs to be incurred. The objects in this study are 17 materials consisting of structural angle materials, pipes, plate metal, and sheet metal. The results of the study obtained the optimal number of orders, reorder points, and safety stock values to anticipate raw material shortages and obtained the total annual cost of the proposed EOQ method which could save 7,64% of the total annual cost of the company's policy.
Analisis Risiko operasional Kapal Tunda Menggunakan Metode FMEA Muhammad Rafii Praswad; Irma Rustini Aju; Aditya Maharani
Proceeding Maritime Business Management Conference MBMC: Proceeding Maritime Business Management Conference 2024
Publisher : Program Studi D4-Manajemen Bisnis, Jurusan Teknik Bangunan Kapal, Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/mbmc.v3i1.3214

Abstract

This company is a company engaged in shipping services in Indonesia. In supporting the efficiency and effectiveness of guiding operations, delays, and supporting facilities is to improve the quality of planning, scheduling, and digitalization of job order administration, so that the expectations of service users can be met. Every business process certainly has risks that may occur, including risks in the tugboat operational process. This research was conducted to anticipate operational risks in tugboat in the operational activities of tugboats and provide a proposed risk mitigation strategy to reduce the impact of risks that can occur. This research uses the Failure Mode and Effect Analysis (FMEA) method to determine the priority risks of tugboat operational activities and Fault Tree Analysis (FTA) to find the root causes of priority risks and design proposed risk mitigation strategies. The results of risk analysis using the Failure Mode and Effect Analysis (FMEA) method obtained 21 sub-risks from 4 categories. Seven sub-risks were prioritized based on the risk matrix. Seven priority sub-risks were analyzed using Fault Tree Analysis (FTA) to find the root cause of each sub-risk. So that the right risk handling strategy is proposed through interviews with experts.
ANALISIS KUALITAS JASA TRUCKING TERHADAP KEPUASAN PELANGGAN DENGAN METODE SERVQUAL DAN QFD PADA PERUSAHAAN LOGISTIK Rania Ataina An'umillah; Yugowati Praharsi; Aditya Maharani
Proceeding Maritime Business Management Conference MBMC: Proceeding Maritime Business Management Conference 2024
Publisher : Program Studi D4-Manajemen Bisnis, Jurusan Teknik Bangunan Kapal, Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/mbmc.v3i1.3259

Abstract

Perusahaan industri jasa pengiriman dituntut untuk terus meningkatkan kualitas kinerja yang akan berpengaruh dengan memenuhi kebutuhan pelanggan. Dengan adanya penurunan permintaan trucking pada tahun 2022 dan 2023 dan belum memenuhi target perusahaan, hal itu memungkinkan dikarenakan terjadinya complaint dari pelanggan antara lain seperti keterlambatan, kerusakan saat pengiriman dan tidak melakukan repeat order. Tujuan penelitian ini untuk mengetahui kualitas pelayanan pada perusahaan terkait kinerja perusahaan dengan membandingkan antara harapan pelanggan dan kinerja perusahaan. Penelitian ini menggunakan metode Servqual untuk menentukan nilai gap. Metode QFD untuk melakukan perbaikan kualitas layanan pelanggan berdasarkan prioritas perbaikan. Hasil analisa metode Servqual didapatkan hasil, 15 atribut bernilai negatif dan 3 atribut bernilai positif, gap terbesar ada pada atribut (X14) yaitu responsif terhadap kebutuhan pelanggan dengan nilai gap -1,15, dan atribut nilai gap dengan kesenjangan terendah ada pada (X15) yaitu selalu mengutamakan kepentingan customer dengan nilai gap 0,15. Prioritas perbaikan pada atribut (X2) dengan atribut berpakaian, (X9) dengan atribut menambahkan pricelist, (X12) mampu mengatasi keluhan, (X13) komunikasi yang baik, (X14) responsif terhadap pelanggan, (X18) pengangkut memiliki training. Hasil rekomendasi perbaikan berdasarkan prioritas yaitu memberikan informasi pricelist, memberikan update data, memberikan pelatihan training, memberikan solusi kebutuhan, memberikan SOP, mengevaluasi kritikan, memberikan pelatihan komunikasi, memberikan seragam, memberikan potongan harga.