Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN - STMIK Sinar Nusantara)
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ANALISIS TEKS BAHASA INDONESIA DAN INGGRIS DARI SEBUAH CITRA MENGGUNAKAN PENGOLAHAN CITRA DIGITAL
Full text linkThe purpose of this research is to analyze Indonesian text and English text from images using digital image processing. The method used in this research is an experimental method such as: literature review , identification problems, hypotheses, analyzing materials, designing programs, conducting tests and drawing conclusions. The result of this research is to detect the text contained in the image. This research result a digital image processing program in text that is containing from an image that has text in it, using input or input in form of a character image. The image that will be recognized into text with Tesseract OCR and output the text detected by the program. This program can show the level of accuracy to recognize characters and words. It conducted kind of testing on 8 images use several of text characters on it. In this case, the system can recognize characters on the text form, with an average accuracy 96% of the test data taken on images sourced from the internet. According to the testing results, this level of accuracy indicates that this application is quite accurate and efficient in identification the image of certain word or text character
IMPLEMENTASI METODE DOUBLE EXPONENTIAL SMOOTHING PADA PREDIKSI JUMLAH PENJUALAN KAIN PANTAI
Full text linkY2K Batik is an SME (Small and Medium Enterprise) engaged in batik. Y2K Batik produces and sells beach wear with various motifs. One of the important things in business is inventory of merchandise, inventory of merchandise is a factor in determining the success of a trading company to achieve its goals, because the goods sold affect the level of income to increase company profits. With these considerations, it is necessary to analyze the production of beach wear for the availability of merchandise in fulfilling customer orders. Based on the above background, the scope of the problem in this study is master data collection obtained from records of selling beach batik cloth periodically from time to time. By utilizing the existing data and applying certain methods, a sales forecasting prediction can be made using the Double exponential Smoothing method. From the results of calculations and testing of forecasting data on the Mandala Motif Beach Fabric variable with the most optimal value using = 0.9 of 2127 with an error value of 19.46% and an accuracy rate of 80.54% (Good). The Canting Motif Beach Wear variable with the most optimal value using = 0.9 of 3174 with an error value of 3.61% and an accuracy rate of 96.39% (Very Good). Double Exponential Smoothing is the most widely used method to determine the trend equation of the second smoothing data through a smoothing process. The programming language uses Microsoft Visual Studio 2013 and the DBMS uses Microsoft SQL Server 2012. The purpose of this research is to create a system that can simplify the process of analyzing the production of beach wear in order to meet the availability of goods ordered by customers
Implementasi Algoritma Haversine Formula Pada Aplikasi Sadewa (Sistem Informasi Destinasi Wisata) Kota Salatiga Berbasis Android
Full text linkAbstract - Salatiga is a city in Central Java Province which is located in the middle of two big cities, namely Semarang City which are 49 km away and Surakarta City which is 52 km away. During the colonialism, the Dutch government dubbed Salatiga as "De Schoonste Stad van Midderi-Javaborder" or the most beautiful city in Central Java. At this time the government of Salatiga City is working to make Salatiga again the most beautiful city in Central Java by making development efforts to beautify the city. To support this program, an information technology is needed to improve information about tourism. Tourists who will visit to need information on the nearest tourist destination to plan a trip to a tourist destination. The search for the nearest location can be applied using one of the algorithms, namely the Haversine Formula algorithm. This study uses Google Maps to display location routes. In terms of a utilization, it is hoped that this information system can make it easier for tourists to visit tourist destinations in Salatiga City
Implementasi Algoritma Fisher-Yates Shuffle Pada Game Edukasi Aksara Jawa Menggunakan Godot Engine
Full text linkGame is one of the implementations of the computer science field which has developed very rapidly. Game is also a form of educational application, meaning that it can be used as a learning media where the process can be carried out with the 'learning while playing' concept for children.The utilization and use of 'Aksara Jawa' educational game can support the learning process of the children when they want to learn while playing to recognize 'Aksara Jawa'. This 'Aksara Jawa' educational game is a game that is designed to improve children's ability to memorize and understand 'Aksara Jawa'. This game contain questions that need to be answered by players by arranging the scrambled 'Aksara Jawa' to form the correct words or sentences. The used algorithm is Shuffle Random which players can't memorize the position of 'Aksara Jawa' and make the game not boring, and also able to apply 'learning and playing' system and become a good learning method among the children. In this study, Shuffle Random Algorithm was used to randomize the 'Aksara Jawa' contained in every questions which were packaged in the form of a game. The making of this 'Aksara Jawa' educational game was using Godot engine software and GDscript programming language. The final result of this research is that this game can help to learn to memorize, so that it can train reasoning and memory power, and also can be used as a means of entertainment
KOMBINASI PENJUALAN KAIN BATIK MENGGUNAKAN METODE APRIORI
Full text linkThe existence of operational activities selling batik cloth every day will increase more and more, If left alone, the transaction data will only become meaningless garbage. is an individual company that manufactures and sells batik with various types of batik. The types of batik include Batik Insights, Color Insights, Cash Written Batik, Fine Written Batik, Fine Granite Written Batik, Night Print Batik, Stamped Batik, Combined Batik, Dagel Batik. In processing sales data, it is still done manually, which only uses records and receipts, so the data only functions as an archive. The data used in this study are sales transaction data for 2 years with a total of 215 transactions. The purpose of this study is to implement apriori algorithm system for the combination of batik fabric sales on Dewi Ratih batik so that it can help to find out the types of batik that are most often purchased. The results of this study are to determine which combination of batik fabric sales are most often bought simultaneously by determining a minimum support of 30% and a minimum confidence of 70% with a comparison of Weka and PHP MysQL applications with an accuracy rate of 100
IMPLEMENTASI ALGORITMA APRIORI PADA PENENTUAN KOMBINASI MENU UMKM TOCIN CORNER SUKOHARJO
No full textThe thesis report for the April algorithm application of the menu sales in the TOCIN CORNER sukoharjo bar has been conducted on July 1, 2019-31, 2019. In view of the condition of sales in the TOCIN CORNER, there is still a problem in menu and raw materials stocks. Among other things, there is still a steady buildup of preordained menu supplies. This leads to the possibility of consumer disappointment even turning to other wedgies, as the availability of preferred menu has been exhausted. The objective of this thesis is to build a system that can be useful in locating and compiling the appropriate combination of the menu by using the apricot method on the menu sales in the TOCIN CORNER in order to increase the sales of the menu. The research methods used in this study include data collection methods and data analysis methods. Data collection methods include observation, interviews and library studies. While the data analysis method is done by means of data obtained will be described according to actual circumstances, researched, studied and processed as a material to create the program. In this study a design model system development life cycle (SDLC). The system development life cycle isa gradual approach to analyzing and building the design system using a specific cycle of user activities as for the SDLC stages are analysis, design, construction/coding, implementation, and testing. The results of the data analysis on the implementation of the menu selling system in TOCIN CORNER are using apricot method with system design usecase, output input design, database design, technology design, instructions to run the program. The implementation of the menu of TOCIN CORNER USES the apriestary method that has been created has transaction data facilities, daily data input, accounting processes, data reports. From this data the launch will produce results reports
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUPPLIER MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING DI TOKO LISTRIK
Full text linkMadiun electricity shop is trading company which provides electricity goods. The purpose of this study is to develop a supplier selection decision support system application which is help the administrative officer to make decision based on the highest level. The simple additive weighting method applied to know each weight based on criteria and proceed with ranking which will select alternatives. The results of the research create a support system application which is select the best supplier based on the highest level. It is according to the calculations using the Simple Addtive Weighting method. The results show that the highest supplier level is on "Supplier1" with a value of "4.167". The testing method uses blackbox and validity. The result of that testing shows that there is accept on all system test scenarios. The testing validity shows that there is any comparison between old system and new system. The result of that validity testing is any comparison of the level of similarity of the selected supplier of 20% and the difference of the selected supplier of 80%, this shows significant difference between the old system and the new system.
IMPLEMENTASI DAN PENGUJIAN STRUKTUR DATA BERBASIS ACUAN UNTUK PROGRAM APLIKASI MENGUNGKAP KEPRIBADIAN BERDASARKAN TANGGAL LAHIR DAN NAMA
Full text linkABSTRACTThe depth of IF (IF_Then_Else) structure of an algorithm influence the execution speed of program. One of the way to speed up the execution of program is reducing the depth of the existing IF structure or reduce the number of selections (IF) in an algorithm process. The idea based on this research is to reduce the IF structure (IF Then Else) smaller then IF structure, through a concept of transforming the IF structure (IF_Then_Else) into a reference structure. This method is doing by mapping the criteria in the selection into a reference index. The process of transforming the IF structure into a reference structure becomes the concept of designing a data structure into the topic of this research. This research is continuinng from the previous research which is the purpose of this research is implementing and testing the reference based on the data structure for the application program to express personality based on date of birth and name . The concept hopefully be able to carry out the program fastly. The steps of this research are starting with the literature study step to find out the references then collecting the data, identifying and classifying the data and arranging into correct pattern, then decide the steps to access the data and finally continuing the implementation and testing of the system. The reference data structure, the selection process (IF THEN ELSE) can be eliminated, because the process of fulfilling the selection criteria can be replaced with a reference. Beside of the implementation process and system testing, the output of this research will plan to articles in scientific journals and registered with HKI
Pemetaan Terhadap Penyebaran Unit Cabang Kantor Pos Di Kabupaten Wonogiri
Full text linkThe Post Office is one of the public facilities for the community because it serves service facilities in the form of postal services, package delivery, logistics and reliable financial services. However, the lack of information makes access to the location of post office services not informed of the location distribution. The purpose of this research is to create a mapping application for branch post office units to make it easier for the general public to get information about the nearest post office unit, using the K-Means Clustering Method. Users can choose which post office unit they want to choose based on their criteria. In functional testing (Blackbox) it was found that the system had been running according to the system design plan that had been made previously, while the validity test using the Silhouette Coefficient method showed the average value for cluster 1 was 0.282674, cluster 2 was 0.297377, and cluster 3 is 0.423516, which means the object is in a good or appropriate group because the Silhouette Coefficient value in each cluster is closer to 1, which means the better the grouping of data in one cluster.Keywords : K-Means Clustering, Post Office, Silhouette Coefficien
Analisis Regresi Loyalitas Pengguna E-Commerce Bukalapak Dengan Variabel Technology Acceptance Model
No full textOnline shopping is the activity of purchasing goods and services through the internet. Through online shopping, customers can preview the goods and services they want to buy on the web promoted by the seller. E-commerce and online shopping activities are becoming very popular among internet users. Customers who shop online can be classified into different purchase orientations. The purchasing orientation can influence both user loyalty Behaviour and intentions in shopping online on Bukalapak as e-commerce. Based on the results of a survey by the Indonesia Internet Service Providers Association (APJII) regarding the profile of Indonesian internet users in 2018, 34.60 per cent of the reasons for not shopping online are afraid of fraud and 21.5 per cent of them stated that they cannot directly buy the goods. The explanation above indicates that user loyalty is still quite low in online shopping. Through the Perceived Usefulness towards the loyalty Behaviour of Bukalapak users, the result of the research proves the first to fourth hypotheses that all Technology Acceptance Model (TAM) variables have a positive and significant effect on the loyalty Behaviour of Bukalapak users and through the TAM test, it is concluded that all variables used in conducting an information system analysis, most respondents answered strongly agree with the percentage of 40% and agree with the percentage of 46.50%.