Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)
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INCOMING AND OUTGOING LETTER SERVICE FOR THE ACADEMIC SECTION OF LAMBUNG MANGKURAT UNIVERSITY
Get PDFLetter services in the academic section of Lambung Mangkurat University include students and alumni. The manual correspondence system, i.e. the proposer of letters must come directly to the Academic Section, becomes an obstacle for students and alumni who are out of town. From these obstacles, the solution is in the form of building a mailing service information system in the website-based academic section that can assist in the service of the letter. The analytical method used is the PIECES method, which is the analytical method as the basis for obtaining more specific issues. The analysis is described by discussing UML to stakeholders. The design uses Laravel with MySQL MariaDB database. The website is designed with 10 tables with 3 user levels, namely proposer, coordinator, and leader. Testing this system using Black Box with 49 test scenarios. The results of the design of the academic section of the correspondence website can be built. Blackbox testing gives 100% results according to all functions on the academic letter service website.
 
IMPLEMENTATION OF THE SMART METHODS (SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE) FOR LOCATION SELECTION OF INDUSTRIAL WORK PRACTICE AND MONITORING IN VOCATIONAL SCHOOL STUDENTS
Get PDFIndustrial Work Practices are educational, training, and learning activities for SMK (Vocational High School) students in the business world or the industrial world related to student competencies according to the fields they are involved. However, several problems arise in practice, such as difficulty updating data and distribution of random locations. It is deemed unfair for students because some get locations far from where they live. There is no forum for monitoring the development of internships by supervisors for students, both in reports from daily and final reports. So we need an information system that can provide solutions to these problems. Making internship activities more effective and efficient for Schools, Guiding Teachers, Students and Prakerin Partners. The SMART (Simple Multi-Attribute Rating Technique) method supports decision-makers in choosing between several alternatives
PADDY WETLAND PRODUCTIVITY ANALYSIS WITH LINEAR REGRESSION OF MACHINE LEARNING APPROACH
Get PDFPaddy is one of the priority crops in agricultural production. South Kalimantan is an area that produces Paddy. In paddy productivity in the southern Kalimantan region, there are paddy wetlands and paddy dryland. The need for paddy production in the southern Kalimantan region can increase or decrease every year. The method used in this study is a linear regression algorithm with a machine learning approach. Linear regression analysis basically predicts a variable's value based on its free variables. Linear regression only predicts variables whose data nature is intervals or ratios. Linear regression analysis can be used to examine the relationship between two or more variables. Linear regression can also make additional assumptions between variables through the most suitable lines of straight-line data points. This study is to determine the relationship between harvest area and productivity. As a result of trials using the machine learning approach, linear regression algorithms show a relationship between harvest and production area. The correlation test results can find relationships between data points so that linear regression can be used to predict. From the relationship between harvest area and productivity, a prediction accuracy of 95% was obtained.  
WATERFALL METHOD IN WEBSITE-BASED MOTORCYCLE RENT INFORMATION SYSTEM DESIGN AND SERVICES
Get PDFA lease is an agreement in which a payment is made for the temporary use of an item or property by another person. Berkah Bersama Motor is a business engaged in the service sector. However, in the data collection process at Berkah Bersama Motor, they still use manual processes such as recording customer personal data in books. In this research, the software development method used is the Waterfall method. Waterfall has the advantage that it can produce a fast and quality system so it was chosen in this study. The result of this web-based motorcycle rental management and service design program is that it can simplify the process of collecting customer personal data so as to reduce the risk of data loss because the storage media is still recorded in the book
METHODS COMPARISON OF ARAS AND TOPSIS FOR DETERMINING THE BEST PRACTICUM ASSISTANT (CASE STUDY CHEMICAL LABORATORY DEPARTMENT OF FMIPA UHO)
Get PDFPracticum is one of the activities that are part of the curriculum in universities. The role of a practicum assistant is needed to support practicum activities. Practicum assistants is a selected through a selection process. The selection of practicum assistants at the Faculty of Mathematics dan Natural Science (FMIPA), Halu Oleo University, to be precise the department of Chemistry, is still done through a manual process. The problem faced in the selection process is that each lecturer determines the ranks of the selected practicum assistants sequentially, from the first practicum supervisor lecturer to the last, which takes a long time and subjective assessment is unavoidable. Then from that problem, it is necessary to develop a computerized system as a supporting media in decision-making to facilitate selecting practicum assistants. The Additive Ratio Assessment (ARAS) and Technique For Others Reference By Similarity To Ideal Solution (TOPSIS) method applicated to compare the results of the two ways. The results of the comparison of the two methods show that TOPSIS provides a higher accuracy value of 50%, while the accuracy value of the ARAS method is 44%, but from testing the speed of processing data, the ARAS method is faster than the TOPSIS method
ANALYSIS OF USER SATISFACTION LIBRARY ONLINE CATALOG AT UPN VETERAN EAST JAVA USING EUCS METHOD
Get PDFThe development of information technology in this digital era has prompted numerous changes in many aspects of life, notably in the field of libraries, that are necessary to satisfy the demands of librarians to locate information easily, quickly, and precisely. OPAC (Online Public Access Catalog), often known as Online Catalog, is a website-based catalogue system used to search for information on library materials so they may be accessible whenever and wherever. One of the academic libraries that have used the Online Catalog is Universitas Pembangunan Nasional "Veteran" East Java. The purpose of this study is to determine what factors influence online catalogue user satisfaction using the End-User Computing Satisfaction (EUCS) model approach with two additional independent variables, System Speed and System Reliability. End-User Computing Satisfaction is one of the methods used to evaluate the overall system for user satisfaction. Proportional stratified random sampling was employed as the sample collecting method in this study, with a total of 303 respondents. The research data obtained from the questionnaire results were processed using SmartPLS 3.2.9 software. Based on the results obtained, accuracy, format, and ease of use are the three factors that have a positive and significant effect. In addition, the most influencing factor for Online Catalog user satisfaction is the format
MEASURING BABY’S BODY LENGTH UTILIZING IMAGE PROCESSING
Get PDFThe Baby Body Length Measurement System with Machine Learning methods and Open CV library is a system designed to make it easier for Posyandu officers to take measurements of the baby's body length, where this system will measure the baby's body length using a camera, and assisted with library image processing, namely, Open CV, and to measure the length of the baby's body using Machine Learning, namely the Linear Regression method, and the measurement data will be sent to a Web application so that the baby's mother can monitor the growth and development of her baby, The system that was built has an average error of -1,42 in the condition of the lamp with a power of 40Watt and in the light of a lamp with a power of 11Watt the average error is found with a value of -15,37 and at a distance of 64 cm the system can detect objects and measure the length of the object with an average measurement error of -10,6
EVALUATION OF MOBILE-BASED E-SAMSAT SYSTEM SERVICES IN BANJARMASIN CITY WITH METHOD TECHNOLOGY ACCEPTANCE MODEL AND IMPORTANCE PERFORMANCE ANALYSIS
Get PDFThe E-Samsat application uses the Technology Acceptance Model (TAM) method to find out how the attitudes of users, the response of the Banjarmasin community in paying motor vehicle taxes with the E-Samsat application or manually and using the Importance Performance Analysis (IPA) method to provide an assessment of service and use of E-Samsat. using the Cartesian quadrant. This study uses a questionnaire to obtain data. Questionnaires were distributed to the people of Banjarmasin City and people who paid motor vehicle taxes at the Banjarmasin II Samsat Office. From the results of the analysis based on the TAM method with user attitudes. The Importance Performance Analysis (IPA) method lies in which quadrant the statement items have been answered by the respondent
MASK DETECTION ANALYSIS USING HAAR CASCADE AND NAÏVE BAYES
Get PDFCoronavirus Disease (COVID-19) is a new virus variant that emerged in 2019. The World Health Organization (WHO) states that 394,381,395 people have been infected with COVID-19, and 5,735,178 have died. This epidemic has been found in Indonesia since March 2020. New cases in Indonesia are still increasing every day as a whole. The Government as a policy has imposed a policy on anyone who will be required to wear a mask and also carry out physical distancing so that they can work without the maker being exposed to the virus. In the midst of a pandemic, the use of masks has increased to prevent transmission. Various types of masks are easy to find, but not all masks are recommended to avoid transmission. Among them are the N-95 masks, which are recommended to prevent transmission. This application uses the haar cascade and naive bayes methods. The pycharm edition 2021.2 tools and python 3.8 are the detection systems used in this mask. The haar cascade method is also used in detecting objects with masks or not and naive Bayes, which is used as an accuracy calculation. This study uses a dataset of 1092, which is divided into 192 positive images and 900 negative images. Accuracy results using the haar cascade method are 100% more accurate, while the nave Bayes method is 76.6% less accurate
MIXTURE FEATURE EXTRACTION BASED ON LOCAL BINARY PATTERN AND GREY-LEVEL CO-OCCURRENCE MATRIX TECHNIQUES FOR MOUTH EXPRESSION RECOGNITION
Get PDFSome academics struggle to recognize facial emotions based on pattern recognition. In general, this recognition utilizes all facial features. However, this study was limited to identifying facial emotions in a single facial region. In this study, lips, one of the facial features that can reveal a person's expression, are utilized. Using a combination of local binary pattern feature extraction (LBP) and grey level co-occurrence matrix (GLCM) methods and a multiclass support vector machine classification approach for feature extraction in facial images. The concept begins with image segmentation to create an image of a mouth. Experiments were also conducted for various tests, and the outcomes of these experiments revealed a recognition performance of up to 95%. This result was obtained through experiments in which 10% to 40% of the data were evaluated. These findings are beneficial and can be applied to expression recognition in online learning media to monitor the audience's condition directly