SENTIMENT ANALYSIS FOR EXTRACTING STUDENT OPINION DATA ON HIGHER EDUCATION SERVICES USING THE NAIVE BAYES CLASSIFIER AND SUPPORT VECTOR MACHINE METHODS (CASE STUDY AKPRIND INSTITUTE OF SCIENCE AND TECHNOLOGY YOGYAKARTA)

Opinions are ideas, opinions, or the results of someone's subjective thoughts in explaining or addressing something. IST AKPRIND Yogyakarta provides comment and suggestion box facilities in the learning evaluation questionnaire. Opinions that have been collected can be used to determine the sentiment of the campus community. This sentiment information can be used in future campus development. The development of a system that can analyze sentiment automatically is designed by comparing the Naive Bayes Classifier (NBC) method and the support vector machine (SVM) optimized by selecting the Information Gain (IG) feature. Prior opinion data needs to be prepared before being analyzed. Preprocessing (text preprocessing) used includes: cleanning, text folding, normalization, stemming, stopword removal, convert negation, and tokenization. The results of this study show that the SVM method produces higher accuracy than NBC. The accuracy test shows the highest accuracy of SVM reaches 99.09% while NBC is 96.56%. The application of IG did not significantly affect the accuracy of the analysis. GI greatly influenced the analysis duration of the SVM method, which could shorten the time by 195.71%

IMPLEMENTATION OF A WEB-BASED EXPERT SYSTEM FOR DIAGNOSIS OF RED BLOOD CELL PRODUCTION DISORDERS

The expert system is one of the branches of artificial ingenuity that studies how to adopt an expert's way of thinking in solving a problem and making a decision to draw conclusions. In this case an expert system is used to diagnose anemic diseases. Problems that arise in the community such as not knowing the characteristics of the disease, its impact is felt for a long time, and being lazy to consult a doctor. Overcoming these problems takes a lot of time and money, so an application is needed that can help doctors diagnose web-based red blood cell production disorders. The use of web technology combined with expert systems in supporting decisions, can better socialize the system. The data collection methods used are literature study methods, interviews with health experts and documentation. Fact-finding in expert systems uses the forward chaining method, to seek conclusions from existing facts. The application development phase includes interface design and system testing. The result of this study is to produce an output in the form of an application to diagnose impaired red blood cell production. The black box test shows that the program is in accordance with the knowledge of health experts regarding impaired red blood cell production

INFORMATION SYSTEM FOR TAX CONSULTANT SERVICE PROVIDERS (C-TAX) BASED ON WEB-BASED WITH MULTI-ATTRIBUTE UTILITY THEORY (MAUT) METHOD

Tax is a mandatory contribution to the state owed by an individual or entity that is coercive under the law, with no direct compensation, and used for state purposes. But many people still do not understand taxation, so some people, including taxpayers, need help or consultation from professional, that is Tax Consultants. However, in the digital era, there are still many people who are looking for tax consultants only through recommendations from colleagues or acquaintances. This designed system can help taxpayers in finding tax consultants using the Multi Attribute Utility Theory (MAUT) method, this method can provide tax consultant recommendations based on the selected criteria. Tests carried out on this system uses Technology Acceptance Model (TAM) method based on data obtained from 89 respondents and processed using the Smart-PLS application. The test results found that the five hypotheses were well received because the value of the t-statistics in each assumption was more significant than the t-table value of 1.989 and the p-value smaller than 0.05. In addition, the percentage correlation value of the hypothesis shows that PEOU influences PU by 61%, PU and PEOU influence ATU by 62%, and PU and ATU affect BITU by 47%

LAND COVER SPECTRAL DATA CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK (ANN)

Bamboo is one of the plants in the tropics which is also a lignocellulosic natural material which can be used as a substitute for wood. There are hundreds of types of bamboo in Indonesia, where each type has its own characteristics in its use so that bamboo has potential in the industrial sector where when combined with innovation and creativity it has high economic value and is in demand by domestic and foreign consumers. The use of "Remote Sensing" technology, especially in terms of identifying bamboo and vegetation and other objects, has been proven through research related to land cover classification. This study aims to classify land cover spectrum data using an Artificial Neural Network algorithm.Classification of 36 data consisting of light bamboo, dark bamboo, dry soil, wet soil, bricks, concrete, grass, and taro leaves was evaluated using accuracy techniques. The resulting accuracy is 94.45%

BEHAVIORAL INTENTION AND USE BEHAVIOR ANALYSIS OF DANA FINTECH USERS USING THE UTAUT 2 METHOD

DANA Fintech is currently used for non-cash transactions due to the convenience and practicality of transactions offered by service providers. However, it is currently unknown to what extent the success of the electronic wallet has been implemented and there are still problems such as loss of balance, failure to top up balances and the features of the DANA application which are still poorly understood. One of the determining factors for the success of a system which is implemented is from the side of user acceptance, behavioral intention (user interest) and use behavior (user behavior). This study aimed to determine what factors could influence the Behavioral Intention and Use Behavior of DANA Fintech Users towards private workers in the city of Denpasar. This research was conducted using a quantitative approach, distributing online questionnaires, and analyzing data processing using SPSS version 25 and SmartPLS 3.0 software. The results of the 12 (twelve) hypotheses proposed, 7 (seven) hypotheses were declared insignificant and rejected because the T-statistical value of the hypothesis was less than 1.96, while 5 (five) hypotheses were declared significant and accepted because the T-statistical value of the hypothesis is more than 1.96. The results of this study are expected to be one of the considerations in making decisions for electronic wallet service providers to be implemented more optimally

THE NAÃVE BAYES METHOD AS A MEASUREMENT MODEL EFFECTIVENESS OF ONLINE LEARNING

The rapid development of technology requires the world of education to be able to take advantage of its positive impact, making various new innovations by utilizing technology to support education such as online learning in the learning process amid the Covid-19 pandemic. Changes in learning methods which occur suddenly from conventional learning methods or directly face-to-face switching to distance learning methods or using online learning media greatly impact and influence students who come from underprivileged families and students who are in remote areas where internet access and inadequate infrastructure. This study aims to create a classification model for measuring the effectiveness of online learning in Pringsewu using the classification method. The classification method is used to classify data based on the nature of the data which each class already recognizes. There are various methods which can be used to classify data using the Naïve Bayes method. The results of the research conducted are a classification for measuring the effectiveness of online learning in Pringsewu. The feasibility of the model obtained is supported by the results of the analysis of the Naïve Bayes model which has an accuracy rate of 98.48%, an AUC value of 0.995, a precision level of 98.17% and a 100% recall. In this study, the level of accuracy of the performance of the model used reached values above 90%. In addition, the AUC value of the two methods used is also more than 90% which is a value that is categorized as Excellent Classification. Further research can be carried out using other different parameters such as Economic Capability, Regional Location, Connectivity Mode, Digital Literacy, and others. In addition, this research was conducted only from the student's point of view. Inclusion of school opinion in future research will be useful in determining the exact effectiveness of online learning

ENTERPRISE ARCHITECTURE PLANNING (EAP) AS A STRATEGIC PLAN FOR INFORMATION SYSTEM MANAGEMENT TO IMPROVE THE SERVICE QUALITY FOR MULTAZAM VOCATIONAL SCHOOL IN GISTING

Information technology is moving more and more forward and developing from time to time. One of the roles of information technology which is growing is the use of information technology to improve the governance of educational institutions from high schools to universities. Every educational institution is required to have models and standards which can be implemented as a basis for improving the alignment between business strategy and information technology. Enterprise Architecture Planning or commonly called (EAP) is one method which can be applied in making information architecture plans. The stages in EAP consist of data architecture, application architecture, technology architecture, and designs which have been made and can be implemented to support the achievement of the organization's mission. The system design uses flowchart design, use case diagrams, and class diagrams. Research conducted at Multazam Vocational School in Gisting resulted in a strategic design. The information system of Multazam Vocational School in Gisting is based on Android as an effort to improve service quality. With good management of information systems at Multazam Vocational School in Gisting, it will make easier for all parties to interact. The school can provide information to prospective students to access information easily. All the information needed by the community can be easily obtained without having to come directly, and enough with a smartphone and online

E-COMMERCE INFORMATION SYSTEM USING TECHNOLOGY ACCEPTANCE MODEL APPROACH

E-commerce websites are one of the most accessed in Indonesia during the covid-19 pandemic. In research conducted for clothing product brands from PT. Mong Kreasi Indonesia, the problem that occurs is the company has not made full use of the information system. The company only uses media social like Instagram and WhatsApp for sales and communication order. Processing and recording of data and transactions are also still manually. The purpose of this research is to design an e-commerce sales information system, that is useful for solving existing problems. To measure the achievement of the designed system, a questionnaire was distributed to the respondents. Total of 70 questionnaires were answered and then tested using the Technology Acceptance Model method using the SMART PLS application. The results is variable Attention to Use on Behavioral Intention to Use has an influence level of 5.063, Perceived Ease of Use on Attention to Use has an influence level of 2.569, Perceived Usefulness on Attention to Use has an influence level of 3.382, and Perceived Usefulness on Behavioral Intention to Use has an influence level of 2.352. Each value is above 1.996, this means each variable has a positive and significant effect in benefits, easy to use, gives satisfaction to users and users has the intention to recommend this system to another

A QUALITATIVE ANALYSIS OF USER INTERFACE DESIGN ON A SHARIA FINTECHAPPLICATION BASED ON TECHNOLOGY ACCEPTANCE MODEL (TAM)

This research aims to discuss user interface design analysis on the use of Sharia applications based on the technology acceptance model and sharia principles. This research wants to illustrate the assessment results of the initial view and know-how easy to use in a Sharia fintech application, namely Sharia funds. This study interviewed ten respondents from young and old, both young and old, who had not used this application or who were already using it. This study uses a type of qualitative research with the Grounded Theory method to explain the phenomenon specifically. The results showed that the User Interface in Dana Syariah application, which is assessed in terms of Consistency, Personality, Layout,  and control and affordances, could be said almost all views make it easy for users young and old. However, there are some drawbacks, perhaps due to less innovative colors. There are few constraints found for older and above average users who find it difficult to distinguish some of that application's particular functions. This research recommends Islamic fintech application providers to pay better attention to the user interface while inviting academics in Sharia economics to evaluate fintech applications' use to develop a faster Islamic economy

ANALYSIS OF USER SATISFACTION OF THE GOPAY FINTECH APPLICATION IN ADOLESCENTS IN DENPASAR USING IS SUCCESS MODEL

This study aims to analyze how much trust and satisfaction of adolescent Gopay Fintech users in Denpasar city by using the Delone & McLean IS Success Model. The data analysis method used is the SEM PLS method with the help of the Smart-PLS software version 3.0. This software is used to carry out testing starting from the validity and reliability test stages up to the overall data processing stage. The results of this study indicate that the accepted hypotheses. 1) The system quality variable has a positive and significant effect on trust, 2) the system quality variable has a positive and significant effect on user satisfaction, 3) the information quality variable has a positive and significant effect on trust, 4) the interface design quality variable has a positive and significant effect on trust, 5) the security variable has a positive and significant effect on trust, 6) the security variable has a positive and significant effect on user satisfaction, 7) the trust variable has a positive and significant effect on user satisfaction. Then there are two rejected hypotheses. 1) The information quality variable has a positive effect but does not have a significant relationship to user satisfaction, and 2) the interface design quality variable has a positive effect but does not have a significant relationship to user satisfactio