Jurnal Teknik Informatika dan Sistem Informasi
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Kombinasi Damerau Levenshtein dan Jaro-Winkler Distance Untuk Koreksi Kata Bahasa Inggris
Get PDFWriting is one of the efforts made by the writer to express ideas and ideas to others. But sometimes when writing, there are many errors in typing spelling, especially English spelling, resulting in errors in capturing the meaning and meaning of the writing. To overcome this problem, we need a system that can detect word spelling errors. Damerau Levenshtein and Jaro Winkler Distance Algorithms are algorithms that can be used as a solution to detect English typing errors. From the test results, it can be concluded that the Damerau Levenshtein and Jaro-Winkler Distance are able to optimally detect word mismatches and look for similarities of words compared. The Damerau Levenshtein Distance works by finding the smallest distance value, while the Jaro-Winkler Distance works by finding the greatest proximity value of the string being compared. Using this algorithm, errors in writing the spelling of words can be minimized.
Keywords— Algorithm; Damerau Levenshtein; Jaro Winkler; Spelling Cheker; String Matching
Aplikasi Android untuk Monitoring Lahan Pertanian secara Realtime Berbasis Internet of Things
Get PDFThe development of technology is very helpful in agriculture by using the internet to get the information we need. The problem that farmers think of is that they cannot easily and quickly get information in the form of light intensity, precipitation, soil pH, soil moisture, soil temperature, humidity and air temperature. When farmers get the information they need from agricultural land, they usually get information through the internet so they are considered less efficient as it is quite time consuming. To solve this problem, a system is designed using the research and development method (RnD). A new Android-based application that can display data in text and graphics that are more easily accessible to farmers. This study creates an Android-based mobile application based on tests using the Android interface to display information about agricultural land conditions and display graphical data that is updated every 5 minutes.
Keywords— Land monitoring, Agriculture, IoT, Android Mobile Applicatio
Ekstraksi dan Analisis Produk di Marketplace Secara Otomatis dengan Memanfaatkan Teknologi Web Crawling
Get PDFAlong with the advancement in technology, todays community begins to abandon conventional shopping methods where buyers must come to the seller's shop. Nowadays community mostly doing online shopping because the process is considered more convenience. Because of this, there are more and more online marketplace users. Much more data can be retrieved with the increasing number of online marketplace users. Because of the large amount of data the process for extracting the data so that it can be seen and utilized becomes possible. The purpose of this journal is to show data and extraction method from an online marketplace system so that the results can be visualized and users can analyze the data. The data extraction method that will be used is the web crawling method and web scraping where after the data is successfully extracted and cleaned it will be visualized with the power BI application. The experiments show that the method is useful to conduct analysis
Penerapan Speeded-Up Robust Feature pada Random Forest Untuk Klasifikasi Motif Songket Palembang
Get PDFSongket is a historical heritage in the city of Palembang. Where Songket has many different types and motifs. Besides having historical value, Palembang's original Songket has high quality and complexity in the manufacturing process. As known Palembang Songket has a lot of motives, one of the ways to recognize Palembang Songket is through its motives, so that research was conducted for the classification of Palembang Songket motifs. The method used to extract features is the Speeded-Up Robust Feature (SURF), while the classification method is Random Forest. The process of forming the SURF feature is divided into two stages, the first stage is Interest Point Detection, which consists of Integral Images, Hessian Matrix Based Interest Points, Scale Space Representation and Interest Point Localization, the second stage of Interest Point Description consists of Orientation Assignment and Descriptor Based on Sum Haar Wavelet Responses. The resulting feature is used for the Random Forest classification. This study used 345 images of Palembang Songket motifs, among others, Bunga Cina, Cantik Manis and Pulir. The images taken are based on 5 colors from each Palembang Songket motif. For the separation of data there are 300 images used as data train and 45 images for testing data. From the tests that have been done the results of the overall overall accuracy are 68.89%, per class accuracy 79.26%, precision 69.27, and recall 68.89%
Automation Forklift System untuk Penyimpanan Produk pada Gudang Berbasis Labview
Get PDFOne of the functions of the warehouse is to store finished products. Stored products will be grouped based on the same type of material or goods, with boxes that have been marked in color or other codes in accordance with the specified classification. In the warehousing system, vertical storage helps in maximizing the use of warehouse areas. Storage of goods that are still manual with the aid of a forklift also has a high risk of damage due to work equipment accidents. The application of automation technology to the warehousing system is needed because it allows the storage and retrieval of products to run more easily and regularly than done manually. This study aims to create an automatic multilevel storage system as a solution to improve work safety and facilitate workers in storing finished products. This system is made in the form of an elevator with a rack containing 12 cells. The elevator is driven by a stepper motor to move in the direction of the X, Y, and Z axis and is controlled through an Arduino Mega 2560 microcontroller. Object identification is carried out by the TCS 3200 color sensor and the infrared obstacle sensor to read the height of the object. In this study, prototype storage and lifter systems have been achieved as movers for storing boxes on shelves. The results showed success in shipping boxes according to the intended address, but there were still average error values on the x-axis motion of 0.125%, and on the z-axis of 0.11%.
Keywords— Arduino Mega 2560; Forklift; Labview; Sensor TCS 3200; Warehous
Analisis Enterprise Architecture Menggunakan COBIT 5 – APO03.01 dan APO03.02
Get PDFAbstract — Enterprise architecture design in organizations is one way to find out the information technology used by organizations today, especially in PT. Manufaktur Rak Gondola. PT. Manufaktur Rak Gondola uses the TOGAF 9.1 framework in designing the organization's corporate architecture. Enterprise architecture management analysis aims to ensure that all components that support the process are running well, are identified and functioning properly. The analysis carried out at the same time as the enterprise architecture design process, it will improve the quality of the resulting enterprise architecture design. The results of the analysis can be used as recommendations for adequate control in the running process. The design process that has been carried out, was analyzed using COBIT 5, APO03.01, and APO03.02. The analysis was carried out to ensure compatibility of the TOGAF framework with the controls found in COBIT 5.
Keywords— APO03.01, APO03.02, COBIT 5, Enterprise architecture, TOGAF 9.
Perancangan dan Implementasi Sistem Informasi Kesehatan P - IRT berbasis Web dan Android
Get PDFThe Salatiga City Government through the Health Office organizes a system of services and socialization to the community in a preventive manner. The intended community includes P-IRT (Food and Home Industry) which constitutes the food and beverage industry sector which is included in the small industry. In carrying out the delivery of information, employees must carry out a program of training activities as well as by conducting socialization to the community directly, where it is more time consuming, costly, and energy. This also makes the service and delivery of information less efficient. Therefore a web-based and mobile-based information system design is needed to complement these shortcomings. By using the Laravel Framework and Android Programming as well as a collaborative filter algorithm, a web-based application and an Android phone are generated to address the problem. Sharing information and discussions between the public and related agencies is easier to use this system.
 
Implementasi Algoritma Apriori Pada Penyusunan Menu Makanan Rumah Makan Prasmanan
Get PDFA buffet restaurant is a restaurant that provides buffet food that is served directly at the dining table so that customers can order more food according to their needs. This study uses the association rule method which is one of the methods of data mining and a priori algorithms. Data mining is the process of discovering patterns or rules in data, in which the process must be automatic or semi-automatic. Association rules are one of the techniques of data mining that is used to look for relationships between items in a dataset. While the apriori algorithm is a very well-known algorithm for finding high-frequency patterns, this a priori algorithm is a type of association rule in data mining. High- frequency patterns are patterns of items in the database that have frequencies or support. This high-frequency pattern is used to develop rules and also some other data mining techniques. The composition of the food menu in the Asgar restaurant is now arranged randomly without being prepared on the food menu between one another. The result of this research is to support the composition of the food menu at the Asgar restaurant so that it is easier to take food menu with one another.
 
Implementasi Algoritma Caesar Cipher Dan Steganografi Least Significant Bit Untuk File Dokumen
Get PDFAbstract —
Security and confidentiality of a file are important aspects because the owner of the file does not want the data to be known by irresponsible parties. To keep the file secret and secure there are techniques called cryptographic algorithms and steganographic algorithms. Cryptographic algorithms are a way to change the contents of the file to be incomprehensible, while steganographic algorithms are a way of inserting files that you want to keep secret with other file types such as images, sounds, or videos. One type of cryptography is Caesar Cipher and steganography is Least Significant Bit (LSB). Caesar Cipher is a way of securing and keeping the contents of a file secret by shifting letters, while the Least Significant Bit (LSB) is a method of insertion by replacing the rightmost or backmost bits. This research uses waterfall software development with the stages consist of needs analysis, system design, implementation, and testing. The program code is written in Java language and uses the Netbeans 8.2 application. The result of the research is that with 10 research materials, 5 document files (* .doc) and 5 image files (* .png), only 2 files of each research material can be processed by this software. The tests carried out included testing the functions and steganographic criteria such as Fidelity, Recoverable, and Robustness.
Keywords — Algorithm, Caesar Cipher; Least Significant Bit (LSB); Netbeans;
 
Pendeteksian Penyakit pada Daun Cabai dengan Menggunakan Metode Deep Learning
Get PDFChili is one of the most essential horticultural plants in Indonesia. In addition to the lack of supply of plants, the price of chili on the market has increased dramatically. The shortage is affected by unpredictable climate changes, which have to result in many chili plants suffering from crop failure. It was because the disease infects chili plants so that harvests are decreased. This work would incorporate Deep Learning for image processing in Disease Detection Systems. This disease detection method will be used to help users, in particular chili farmers, identify whether or not the leaves of their chili plants are contaminated with the disease. This system would take a picture of chili leaf using a Raspberry Pi camera and implement image processing on the chili leaf image to collect valuable information on the image to find out whether or not the chili leaf is contaminated with the disease. The purpose of this research is to make a desktop application for a disease detection system that has the ability to detect whether or not a chili leaf is infected by several diseases, display the condition of the chili leaves, display the type of disease that infects the chili leaves (if any), and provide a percentage probability of the system in detecting the image of the chili leaves correctly (whether it is healthy chili leaves or sick chili leaves). The system reaches 100 percent accuracy with good brightness and distance less than 1 meter, while the
system reaches 68.8 percent accuracy with poor brightness and distance greater than or equal to 100 percent.
Keywords— chili leaf; deep learning; disease detection; raspberry pi