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Analysis of Local Content Policy Implementation in Company NJH
Get PDFOil and gas companies, contractors and suppliers, under the regulation by the Ministry of Energy and Mineral Resources (EMR), must implement local content implementation in procuring materials and services for oil and gas activities. Company NJH, as one of Production Sharing Contractors, faces problems in the inefficiencies of implementing the local content policy. Three main problems became apparent: unrealistic roadmap implementation, unstandardized contractor performance, and NJH’s human reso urces constraints. Qualitative methodology through interview sessions is used to analyze the current situation within NJH to understand the underlying issues, identify alternative solutions and formulate business solution proposal. Fishbone analysis is used to find the root cause of the inefficiencies. PDCA cycle analysis is also used to formulate business process improvement. The formation of a market research team is recommended to help resolving the roadmap implementation inefficiencies. The goal is to analyze the current SKK Migas PTK 007 Revision 4’s (PTK 007) roadmap adoptability and formulate optimized roadmap to be more practical to contractors and suppliers. A guidance program to support contractor’s documentation format and standards combined with the hiring of local content experts are also recommended as business solution with a goal to expedite verification processes
Analysis of Factors Affecting Consumer Intention in Buying Goods on Social Media (Case Study: XYZ Shop)
Get PDFThe number of internet users worldwide has increased from year to year. Especially in Indonesia, in 2017 internet users have reached 143.26 million people or around 54.68% of the total population in Indonesia and on average use it every day. The growth of internet use in Indonesia was used by business people to run their business by selling where social media is the most used place to sell (64.9%). However, there are still many consumers who are reluctant to make the intention to purchases, this is caused by many factors including the level of consumer confidence, consumer risk perceptions, and others. In this study, the factors that influence consumer behavior will be analyzed about intention purchasing decisions on social media using the developed Theory of Planned Behavior. The case study used is the XYZ store that sells shoes, accessories, and goods on social media. Partial Least Square Method of Structural Equation Modeling (PLS-SEM) is used to analyze the research, where the results of this study are to get the conclusions of significant factors that influence consumer intention to purchases product on social media and recommendations for improvements to XYZ stores to improve sales and get more consumers
Particle Swarm Optimization and Genetic Algorithm for Big Vehicle Problem: Case Study in National Pure Milk Company
Get PDFThe number of companies in the industry, as well as the current economic conditions, have created intense competition between companies. One of the important activities of a company is distributing goods from a warehouse to several agents so that the distribution of goods can be done easily and quickly. National Pure Milk Company is based in Salatiga. There are various flavors of pure milk stored in the form of a cup and a pack that will be distributed to each destination. Each cup and pack has data in the form of mass, volume, destination (distance between the destination location and the warehouse location), and the time when it must be dropped. All items of pure milk will be delivered by 4 truck vehicles with different types. Each vehicle has a mass capacity, volume capacity, mileage capacity, trip duration capacity, and trip number capacity. All the data of the pure milk that distributed must not run over the capacity of the vehicle. In this research, Particle Swarm Optimization (PSO) Algorithm can be modified into the discrete PSO Algorithm to determine the shortest distance of the route and Genetic Algorithms can be modified to determine the exact composition of goods on each vehicle. The optimization problem is limited by the condition that each item is delivered at the same time interval
Influence Analysis of Shielding Gas Flow Rate and Purity Level Variation on GMAW Welding Process to Microstructure of Alumunium 5083
Get PDFAluminium is a commonly used material in construction and transportation industries. The advantages of using the aluminium material are its light weight, corrosion resistant, and the capability to form an alloy with another metal. Therefore, the aim of this research is to analyze the influence of shielding gas flow rate and purity level variation to mechanical properties and microstructure of the welded material. The welding process used on this research was the GMAW method. The material used was aluminium 5083 series with 300 mm x 150 mm x 8 mm dimensions. The shielding gases used were high purity (HP) and ultra-high purity (UHP) argon (Ar). The variations of shielding gas flow rate used were 16, 18, dan 20 litre/minutes. Based on the tensile test that has been done, the variation of UHP argon gas with 20 litre/minute flow rate had the best result with yield strength of 217,32 MPa and ultimate strength of 295,83 MPa. The result of the micro photos showed that the GMAW method produced small dots where the dots were Mg2Si formation, which the greater number of smaller size dot produced would increase the mechanical properties of the material
Local Stress Analysis in the Chain Link of Mooring Line That Had Diameter Degradation
Get PDFMooring systems are used to moored ships at a particular area. One of its type is SPM by using a buoy. The system generally uses chains used to tie buoys to the seabed. However, chains that are used continuously can experience degradation in the diameter of the chain connection. The degradation experienced by the connections between the chains will certainly affect the local ( von Mises stress). According to ABS rules, the amount of local stress or von Mises stress that occurs on an object must not exceed 90% of the yield strength of the material. Therefore, it is necessary to do a local stress analysis to determine the extent of degradation of the diameter of the chain connection so that the local stress value does not exceed that allowed. The largest mooring tension value that occurs in the mooring system is 1838,252 kN. The results show that if the chain connection is subject to a tension of 1838,252 kN, the diameter degradation that occurs in the chain connection must not exceed 15% of the initial diameter so that the local or von Mises stress does not exceed 369 MPa (90% of the yield strength of the material 410 MPa)
A Case Study of Applying Customer Segmentation in A Medical Equipment Industry
Get PDFThe purpose of this paper is to apply LRFM (length, recency, frequency, monetary) for customers in the medical equipment industry and identify differences in each customer segment. This study uses LRFM and clustering to segment its customers. This research uses transaction data of the medical device industry in Indonesia. This data will be extracted for the length, recency, frequency, and monetary (LRFM). The optimal cluster obtained from the validation process is four which will be used as a basis for customer segmentation. This study uses the K-Means algorithm as a clustering method and Decision Tree as a classification method and the application of IF-THEN rules. The segmentation process will be identified based on LRFM criteria in each segment that has been formed and will form a marketing strategy that is appropriate for the company. The results obtained from this study are four customer segments based on LRFM with each segment given a profile name as: Best, Frequent, Low and Uncertain. This study provides guidance on customer identification based on LRFM that can be used by medical equipment companies to develop strategies that are in accordance with the criteria of each segment that has been obtained to improve customer relationships management system and new ways of marketing products
Exploiting Marine BD to Develop MLDB and Its Application to Ship Basic Planning Support
Get PDFRecently, the global marine logistics industry has changed significantly because of the global movement of goods. Where the amount of available data and attention paid to extensive data analysis in various topics exponentially grows, it is possible to obtain vast amounts of marine BD. However, the collection of BD groups is difficult to organize and frequently redundant. This is why the database can be so important. If these BD are effectively utilized, great innovation can be achieved in the marine industry. In this study, we develop a marine logistics database to ship basic planning support in the future. The database under study consists of BD sets, i.e. port, ship, route, international trade, and ship operation information from automatic identification system data. As a result, the relational database was developed. The effectiveness of the database is evaluated and extracted data from the database necessary for ship basic planning is discussed
INFORMATIVE BOUNDS OF NEURAL NETWORKS PREDICTION FOR COMPOSITE FATIGUE LIFE UNDER VARIABLE AMPLITUDE LOADING
Get PDFIn this study, the informative bounds of neural networks (NN) prediction with respect to the utilization of less fatigue data for fatigue life assessment of composite material covering a wide range of stress ratios R was examined and investigated. Fiberglass reinforced polyester of [90/0/±45/0]S lay-up with fatigue data of various stress ratios (R = 0.1, 0.5, 0.7, 0.8, 0.9, -0.5, -1, -2 and 10) was examined in the present paper. Multi-layer Perceptrons (MLP) trained with Levenberg-Marquardt algorithm was utilized to result in fast and efficient NN model and Bayesian regularization technique was incorporated to deal with limited training data chosen for the model. The developed NN model was trained with fatigue data from only two stress ratios, where three sets of two stress ratio values were formed and used as the training sets, namely R = 0.1 and 0.5, R = 0.1 and -1, and R = 0.1 and 10, respectively. It was obtained that fatigue data from R = 10 produced the widest bounds of prediction, namely having the highest estimated standard deviation value from the fatigue lives predicted. Furthermore, it is revealed in the current study knowing the fact that fatigue data from R = 10 have the highest estimated standard deviation and subsequently including the fatigue data as one of the training data set, the NN model trained could produce the lowest mean squared error (MSE) value for the results of fatigue life prediction. This is justifying also the selection of training set of R = 0.1 and 10 as best training set in the previous study, which is based on the stress ratios’ better relative positions in the corresponding constant life diagram (CLD). Finally, taking the highest estimated standard deviation value from fatigue data of R = 10 as the conservative estimated bounds of NN prediction, it was shown that for the NN prediction of fatigue life whose noticeable discrepancies with the experimental data, the discrepancies were well confined within the conservative bounds of prediction.
Design of Resources Monitoring and Controlling System on Aircraft Maintenance Project in XYZ MRO
Get PDFMaintenance Repair and Overhaul (MRO) XYZ is a company engaged in aviation / aviation, especially in aircraft maintenance. MRO XYZ can work on the maintenance of several types of aircraft and its components in accordance with the certification and permits owned by MRO XYZ. The vital aspects that must be regulated in an aircraft maintenance project include the engineer involved in the maintenance process and the manhours calculation system who must be able to explain every detail of the work on an aircraft maintenance project. In addition, other resources such as consumbale material and raw material must also be monitored and controlled, so that management team can obtain COGS as optimal as possible in the project and profitability can increase. This research was built to provide solutions to the aircraft maintenance process stakeholders in meeting vital information needs that must be continuously monitored and based on this information, the system built will be able to control the ongoing maintenance process of the aircraft, in accordance with regulations