Garuda - Garba Rujukan Digital

IMPLEMENTATION OF HIGH FIDELITY PROTOTYPING IN ONLINE FIELD PLACEMENT PROGRAM SYSTEM DESIGN Goldie Gunadi; Agus Budiyantara
Infotech: Journal of Technology Information Vol 7, No 2 (2021): NOVEMBER
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i2.118

Service activities carried out by the Academic and Student Administration Bureau (BAAK) STMIK Widuri for students who will carry out field placement program (KKP) are currently still carried out conventionally, this makes the process of making KKP cover letters and also assignments for supervisors takes time, which is quite long and less efficient. To overcome these problems, it is necessary to create a web-based application system that can simplify and speed up the activities of student KKP administration services. In this study, observations were made on the current system modeled using Business Process Modeling Notation (BPMN) and Data Flow Diagrams (DFD). The problem analysis process uses the Root Cause Analysis (RCA) method. The system design runs with UML diagrams, namely Use Case, Activity and Deployment Diagrams. Making a prototype with a high fidelity concept using the PHP programming language, HTML 5, CSS, jQuery, Bootstrap and DataTables frameworks and the Chart.js library. This research resulted in a prototype that describes the overall functionality of the Online MPA system, interactive and has an attractive interface.

RANCANG BANGUN APLIKASI MEDIA PEMBELAJARAN MENGENAL NAMA HEWAN DALAM DUA BAHASA BERBASIS ANDROID MENGGUNAKAN THUNKABLE Goldie Gunadi
Infotech: Journal of Technology Information Vol 6, No 1 (2020): JUNI
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v6i1.77

With the rapid development of Android-based smartphone technology devices, many learning media applications for multimedia-based children have been developed, the aim of which is to increase children's interest and motivation to learn in order to better receive the learning material provided. In this study, an Android-based animal recognition application design was carried out using two languages namely Indonesian and English. The design process is done using UML modeling, while the process of making an application is done using a tool that is Thunkable. With Thunkable the process of making applications becomes easier, faster and efficient. To ensure that every functional application runs properly in accordance with expectations, Black-Box testing is performed. The results of this study are an Android application that uses a variety of multimedia resources such as images, audio (sound) and video, as well as having an attractive and easy to use interface so that it can help early childhood children learn the material presented in this application.

IMPLEMENTASI METODE DATA MINING K-MEANS CLUSTERING TERHADAP DATA PEMBAYARAN TRANSAKSI MENGGUNAKAN BAHASA PEMROGRAMAN PYTHON PADA CV DIGITAL DIMENSI Dodi Alexsander Manalu; Goldie Gunadi
Infotech: Journal of Technology Information Vol 8, No 1 (2022): JUNI
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i1.131

CV Digital Dimensi is a company engaged in the printing sector, which is a subsidiary of the XG Group located in Jakarta. In order to be able to compete with other companies, the company does not only focus on products and services but also efforts to build personal relationships with customers. Existing payment transaction data so far have not been utilized as much as possible in determining the company's business strategy, therefore the implementation of data mining is necessary to analyze and explore the available data to find new information that is more valuable and useful for the company. The K-Means Clustering method is a data mining technique to obtain data groups by maximizing the similarity of characteristics within the cluster and maximizing the differences between clusters. The purpose of this study is to apply the K-Means Clustering method to group sales transaction data on CV Digital Dimensi and display the results in the form of visual graphics using the Python programming language and Scikit-Learn library. The results of this study succeeded in classifying sales transaction data into five clusters and can be used as a reference in determining the company's business strategy.

PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK MENGANALISA TRANSAKSI PENJUALAN JASA CETAK PADA UNIT PRINT ON DEMAND (POD) PERCETAKAN GRAMEDIA Goldie Gunadi
Infotech: Journal of Technology Information Vol 8, No 2 (2022): NOVEMBER
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i2.148

Data mining is a method used to obtain valuable information contained in data banks. The information obtained can be used as input for determining the business strategy for the head of the company's agency. One of the most widely used data mining techniques is clustering using the K-Means method. Print on Demand (PoD) is one of the printing business units of PT. Gramedia which specifically provides printing services for various types of products, including: books, magazines, calendars, posters, promo materials such as product catalogs and brochures, as well as small-sized products such as business cards, tickets, coupons or vouchers and stickers. Currently every sales transaction data is stored in a SQL Server database, but until now the data processing is still done manually for reporting needs for company management. The purpose of this research is to perform K-Means Clustering analysis of the transaction data of sales of print services using the RapidMiner application to classify routine customer data based on the number of transactions made for each type of print product. The results of the application of the K-Means Clustering method resulted in 8 groups of customer data where the largest group consisted of 92.89% of the number of customers. The results of the analysis can be used by the company's management to determine various business strategies to increase the company's competitiveness.

IMPLEMENTASI METODE RAPID APPLICATION DEVELOPMENT PADA PENGEMBANGAN SISTEM KELOLA DATA KALIBRASI DI PERCETAKAN GRAMEDIA Goldie Gunadi
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.161

The Rapid Application Development (RAD) model is an object-oriented software development model that aims to shorten information system development time. Calibration is an activity of determining the correctness value and checking and adjusting the accuracy of measuring instruments with national standards and/or international standards. As a company engaged in the printing sector, PT Gramedia uses a variety of measuring instruments that need to maintain their level of accuracy, so a calibration process needs to be carried out regularly. The General Affairs (GA) section is responsible for carrying out this calibration activity with the help of outside vendors. Currently, the administrative process for calibration activities is still carried out conventionally, causing various problems that can result in disruptions to production process activities and a decrease in the quality of the printed products produced. The purpose of this research is to develop a web-based information system by applying the RAD development model to speed up the process and the application of the MVC method using the Codeigniter framework in the application coding process. From the test results using the black box method, the resulting calibration administration system can run well in accordance with user expectations.

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