International Journal of Computer and Information System (IJCIS)
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Waste Analysis Using Lean Manufacturing in the Film Production Process Step 2 Ulama
Get PDFAbstract - The film Footsteps 2 Ulama produced by LSBO Muhammadiyah in collaboration with Ponpes Tebuireng Jombang is a semi-documentary film that tells the journey of Kyai Ahmad Dahlan and Kyai Hasyim Asy'ari. At the time of the production of the film Jejak step 2 Ulama in its implementation there were several problems such as delayed production schedules, human resources that were not as needed, scheduling errors, and also production defects in several scenes so that they had to be re-take or it could be said to be re-production to get maximum results, where these problems tend to result in waste or waste. Therefore, a study was conducted to analyze what kind of waste occurs and the most dominant using a lean approach. Based on the results of the study, it was found that waste waiting is the most dominant waste with a weight of 27.11%, then followed by waste over production and excess processing with the same weight of 20.33%, waste defect 13.55%, waste transportation 11.86%, motion 5.08% and inventory 1.69%. From the mapping using process activity mapping, a total of 32 types of activities were obtained, of which 12 were value added activities with a percentage of 50.36%, then 9 of them were necessary non-value added activities with a percentage of 13.13%, and 11 activities included in the non-value category. added with a percentage of 26.49%
Implementation of Data Mining Using C4.5 Algorithm for Predicting Customer Loyalty of PT. Pegadaian (Persero) Pati Area Office
Get PDFPT Pegadaian (Persero) is engaged in the business of providing credit services with pawn, non-pawning and gold investment products. One of the right marketing strategies to survive today's high competition is to maintain customer loyalty, researchers use several data variables available in the MIS (Management Information System) in the form of customer transaction frequency, how many products are taken by customers, customer satisfaction and direct interviews. to predict customer loyalty of PT Pegadaian (Persero) by implementing the c4.5 algorithm. The c4.5 algorithm is the algorithm used to create a decision tree. Decision trees are a very powerful and well-known method of classification and prediction. The decision tree method converts very large facts into a decision tree that represents the rule. Rules can be easily understood in natural language. This study aims to determine the accuracy of the C4.5 algorithm to predict customer loyalty of PT Pegadaian (Persero) and the most influential factors in loyalty. The results of the experimental application of the c4.5 algorithm show that the level of accuracy generated in predicting customer loyalty is quite high, namely 89.94% in data testing 1 and 94% in data testing 2. The application of the c4.5 algorithm in predicting customer loyalty of PT Pegadaian (Persero) can be well applied
Comparative Analysis of K-NN and Naïve Bayes Methods to Predict Stock Prices
Get PDFAbstract— Buying and selling shares is a transaction that is widely carried out at this time, especially buying and selling stocks online which are widely available in the market, to make buying and selling shares require ability or knowledge so that the buying and selling of shares are profitable, to be able to help economic players predict prices. Profit shares or not purchased in the future, this research will conduct stock price predictions using classification methods, namely K-Nearest Neighbor and Naïve Bayes, to predict the stock price data used for one month in minute levels totalling 39065 data, based on prediction results. The highest results obtained were using Naïve Bayes with an accuracy value of 69.38 then the K-Nearest Neighbor method with a K = 5 value of 67.25%, based on these results it can be concluded that the use of the K-Nearest Neighbor and Naïve Bayes methods for prediction share price not yet owned I high accuracy, so it can be combined with other methods or by using other variable predictors
Analysis of Adi Soemarmo Solo Airport Parking Payment System
Get PDFThe writing of the Semester Final Project with the title Analysis of the Parking Payment System for Adi Soemarmo Airport Solo was compiled based on the results of observations at the exit gate of Adi Soemarmo Airport Solo. Transactions on parking payments often cause problems due to several factors, especially the time or process is quite long because sometimes the money given is too large then the cashier takes too long to give change, besides that sometimes passengers do not prepare the money they want to pay in advance and often passengers pay in a situation of insufficient money and this causes queues or jams at the gate exit. The research objective given by the author later is to provide the best solution for airport parking payment systems. In addition to making it easier for passengers, this will greatly facilitate cashiers when carrying out work operations. This payment application system is called u-nik or electronic money. Where u-nik functions to transfer the money balance data contained in u-nik to a computer using a system called AINO. So that payments occur without spending additional cash. With the existence of non-cash payment transactions using the AINO system, it is hoped that it can facilitate and provide speed in making parking payment transactions without the need to carry cash
Inventory Control Analysis Hospital Bed Manual Unit PI-108MS, PI-208MS, PI-308MS Forecasting and Economic Order Quantity (EOQ) At PT. XYZ
Get PDFRaw material inventory control is a series of things to determine the level of inventory, the time of purchase and the amount of inventory that must be provided. The Economic Order Quantity (EOQ) method is one of the inventory management techniques by considering storage costs and ordering costs. The value is generated by the term reorder point. This value is used to place orders that the company needs to place. 44 units, 68 units, and 36 units are the quantities needed by PT XYZ in every order. So PT XYZ had to do 46 times, 73 times, and 27 unit orders to fulfill their needs
Planning for Raw Material Inventory Needs at PT. X Semarang With Min-Max Method
Get PDFThe main goal of each company is to optimize the company's profit because it will have an impact on business continuity and the most important element in achieving this goal is the existence of inventory in the form of goods. Then a good company is a company that has a good and neat system in terms of collecting data on the production of goods and their inventory. This study aims to determine the inventory of goods available in Company X and improve the data input system at the company
PT. Indosurya Finance Solo Baru Employee Management Information System Analysis
Get PDFAttendance is an important factor in maintaining the quality of an employee's performance in a company. With technological advances such as nowadays, the ease of attendance can also be carried out easily, the use of the old attendance system is also considered less effective in today's era, employees need efficiency in the absent process, as implemented by Indosurya Finance's Solo Baru branch which has left the old system attendance , where the previous abscess system used the signature system, the block card system, and the fingerprint system. In this old system, the majority of employees worked not only in the office having difficulty meeting clients outside the office at any time, because they had to come to the office if they wanted to be absent. Therefore the company replaced it with a new system, namely using an application called Great Day HR. With a modern employee attendance system like this, it can help companies make arrangements for existing human resources and the purpose of this research is to determine the feasibility of an attendance system using Great Day HR for the future. The method in this research is through observation, interview, documentation, and literature study. The system design is made with context diagrams, HIPO, DAD, input output design, hardware requirements analysis, software requirements analysis. By using this online attendance system employees can perform attendance efficiently and effectively according to the needs of each employee. The final result of this online attendance system is an attendance recap data from each user owned by Indosurya Finance employees
Analysis of "E-Patient UNS" Application System for Online Registration of UNS Hospital Patients
Get PDFThe UNS Hospital E-Patient Application for Online Registration of UNS Hospital Patients is an application belonging to the UNS Hospital that can be used by old UNS Hospital patients to register for polyclinic visits online. Analysis of the "E-Patient Hospital UNS" application system from the results of an interview with the Head of the UNS Hospital Electronic Data Installation, which is the person in charge of the management of the application. The author also uses the results of the application user survey from January 1, 2020 s.d. November 27, 2020 to determine the level of customer satisfaction in conducting system analysis. The purpose of this system analysis is to find out how much the function or usefulness of this application system is to unravel or minimize the problems that become obstacles related to registration of polyclinic patient visits at UNS Hospital
Employee Admissions Information System Web-based at CV Galerindo Nusantara
Get PDFCV Galerindo Nusantara company still uses manual methods in the recruitment process, namely prospective employees must come to the company to apply for work and still use paper so that companies need a computerized system that can facilitate employee recruitment activities. Based on these problems the authors seek solutions to make it easier for companies to overcome these problems. In developing this system, the author uses the waterfall method, namely the work of a system that is carried out sequentially or linearly. The results of the web-based employee recruitment information system at CV Galerindo Nusantara which was created by the author are to produce a system that can make it easier for prospective employees and companies to carry out computerized employee recruitment activities as well as time efficiency and make it easier for prospective employees to access information systems
Classification of Fish Species with Image Data Using K-Nearest Neighbor
Get PDFAbstract— Classification is a technique that many of us encounter in everyday life, classification science is also growing and being applied to various types of data and cases in everyday life, in computer science classification has been developed to facilitate human work, one example of its application is to classify fish species in the world, the number of fish species in the world is very much so that there are still many people who are sometimes confused to distinguish them, therefore in this study a study will be conducted to classify fish species using the K-Nearest Neighbor Method. 4 types of fish, all data totaling 160 data. The purpose of this study was to test the K-Nearest Neighbor method for classifying fish species based on color, texture, and shape features. Based on the test results, the accuracy value of the truth is obtained using the value of K = 7 with a percentage of the truth of 77.50%, the second-highest accuracy value is the value of K = 10, namely 76.88%. Based on the results of this study, it can be concluded that the K-Nearest Neighbor method has a good enough ability to classify, but it can be done by adding variables or adding more amount of data, and using other types of fish