Usability Testing on ITTS MART Prototype

Information technology is currently growing very rapidly so that it can provide convenience to its users, one of which is the ease of accessing the internet, such as through cell phones. The rapid increase in internet users, especially through mobile phones, is caused by the hectic number of social media applications as virtual friendship applications. Apart from being a virtual friendship application, another benefit of social media is as a promotional media, one of which is the promotion of online shopping applications, so that the number of online shopping transactions in Indonesia also increases. Hydroponic and aquaponic activities at the Telkom Institute of Technology Surabaya are also developing and starting to enter the product harvest stage, so a platform is needed to sell these products. An online shopping platform was chosen, especially a mobile application, to sell ITTelkom Surabaya products so that consumers can shop anytime and anywhere. The online shopping application developed by ITtelkom Surabaya is called ITTS MART. Currently, ITTS MART is still in the prototype development stage and there is a need for usability testing using the WebQual Concept on the ITTS MART application. From the results of the study, it can be concluded that the six research variables, namely Trust, Informational Fit-To-Task, Web Appearance, Entertainment, Government Policy and Transaction Capability, show a significant difference between expectations and real experience or dissatisfaction when using the ITTS MART application. Only one variable that shows the value of the difference is not significant, namely Response Time, so it can be concluded that respondents are satisfied with the time to access the page on the ITTS MART application.Keywords: Usability, WebQual, Online Shopping, Application, Food Product

Determinants of the Acceptance of Ambon City Local Government Information Systems using the Technology Acceptance Model

The research aims to find empirical evidence on the determinants of the acceptability of Ambon City regional apparatus on implementing the Regional Government Information System (SIPD) using the Technology Acceptance Model (TAM). The research sample is SIPD users in Ambon City, with a total sample of 90 respondents. This research data was collected from a questionnaire that was measured using a Likert scale. Data were analyzed using simple linear regression analysis. The research results found empirical evidence that the perceived convenience of SIPD users affected perceptions of SIPD use in Ambon City and attitudes towards using SIPD in Ambon City, and attitudes towards SIPD use had an effect on actual SIPD use in Ambon City. This research did not find evidence of an influence between perceptions of the usefulness of SIPD on attitudes towards using SIPD in Ambon City. It means that the Ambon City regional apparatus will use SIPD in supporting development planning and regional financial management work if the apparatus perceives that SIPD is easy to use. If the regional apparatus accepts SIPD, then the regional apparatus will use the SIPD to manage development activities in Ambon City. Therefore, the government of Ambon City can be more active in socializing SIPD and holding training programs for SIPD users so that local officials can use SIPD optimally to support planning and financial management work.Keywords:. local government information system, Technology Acceptance Model, acceptability of regional apparatus

Comparison of Ensemble Learning Method: Random Forest, Support Vector Machine, AdaBoost for Classification Human Development Index (HDI)

Classification in supervised learning is a way to find patterns in database that the classes are already known. In the classification of machine learning, there is a term called ensemble classifier. The workings of the ensemble classifier aimed to improve model accuracy and optimize classification performance. This study aims to analyze the comparison of algorithms that work with ensemble learning, including Random Forest, Support Vector Machine (SVM), and AdaBoost. The data used is the Human Development Index (HDI) of districts/cities in Indonesia. Other variables that are strongly related to human development are GRDP per capita, gross enrollment rate, net enrollment rate, labor force participation rate, unemployment rate, poverty rate, poverty depth, poverty severity, and average consumption per capita. The reason for using HDI is that apart from being an important macroeconomic variable in describing the condition of human resources in Indonesia, HDI already has an obvious classification according to the Badan Pusat Statistik (BPS) so that supervised learning can be applied. Comparison of model evaluation using accuracy, specificity, sensitivity, and kappa statistics. The analysis flow starts with data preprocessing, resampling and cross-validation, then modeling using the Random Forest, Support Vector Machine (SVM), and AdaBoost algorithm. The final stage is the model evaluation by comparing the best models in the classifications of districts/ cities according to HDI. The results showed that the Random Forest model had the best performance compared to the Support Vector Machine (SVM) and AdaBoost models with an accuracy value of 85,23%, specificity of 71,63%, sensitivity of 95,05%, and kappa coefficient of 0,7698. From this research, the an ensemble classifier can be developed to help classify scores on the Human Development Index in Indonesia.Keywords: AdaBoost, Random Forest, Support Vector Machine, Ensemble Learning, Human Development Inde

Sentiment Analysis Public Twitter on 2024 Election using the Long Short Term Memory Model

As a Democratic State in 2024 is a political year for Indonesia because there will be simultaneous elections starting from officials from the regions to the president, therefore it causes a lot of diverse reactions on social media, especially Twitter which can give rise to various kinds of opinions, not only positive but also positive opinions. also negative ones so that it becomes an interesting thing to study, the tendency of Twitter users to post content can be known through sentiment analysis, so the purpose of this study is to find out the sentiment of twitter users towards the 2024 election is negative or positive, the steps in this study begin with data collection tweets, preprocessing text mining and then entering lexicon based feature labels, building a model with Long Short Term Memory (LSTM) and evaluating the model with the confusion matrix tool used in this study using google collaboratory, sentiment analysis is carried out with gan 858 data from the preprocessing process with a comparison of 80% of train data and 20% of test data resulted in an accuracy of 78% with positive sentiment amounting to 52.2%, sentiment that was included in the positive mostly contained support for the success of the election, as well as information related to the election, and 37% negative sentiment which is included in the negative sentiment in this study include tweets with dirty words, misguiding opinions, and making fun of political and neutral parties by 10.8%.Keywords: 2024 Election, Sentiment Analysis, twitter, LST

Arduino-based Reverse Vending Machine Metal Medicine Packaging Exchange

As technology develops, the use of vending machines also develops. In addition to purchasing food and drinks, it can also be used to exchange medicine packaging for coins. To simplify the exchange process to make it more practical and not to spend a lot of time, a reverse vending machine was built for drug packaging containing metal as input. Collecting data using the method of observation and literature study. This type of research is prototyping because the results obtained are in the form of a prototype. This prototype used 3 buttons in main  process. The first stage is pressing button 1 to detect metal, then pressing button 2 to weigh, and button 3 to release coins. The test results obtained from the Arduino-Based Reverse Vending Machine Metal Medicine Packaging Exchange indicate that the prototype is able to be used as a medium of exchange for drug packaging trash containing metal into a medium of exchange in  money form. The prototype is able to provide a solution for reducing or managing medical trash which contains metal

Comparison of Logistic Regression and Random Forest using Correlation-based Feature Selection for Phishing Website Detection

The world is currently experiencing mass developments in information technology, especially during the current pandemic, which requires all of us to learn and even work online. They are triggered much crime in the internet world. One of them is stealing internet user data through a fake website built like the original or called a phishing website. In this research , a classification model is needed to detect phishing websites using the best performance from one of the logistic regression and random forest classification algorithms to overcome the rise of phishing websites in cyberspace. Classification performance can be improved using the correlation-based feature selection (CFS) method to select the most influential attribute in detecting web phishing. Based on the test results, applying the logistic regression and random forest classification algorithm in the classification of web phishing resulted in an accuracy of 93.035% and 96.834%. After feature selection with CFS, the accuracy was 92.718% and 97.015%, respectively. On the Testing, There was an increase in accuracy in RandomForest by 0.181% and an insignificant decrease in logistic regression. The test results prove that feature selection with CFS can eliminate redundant attributes and the resulting classification algorithm accuracy is not much different when the details are complete and Random Forest has accuracy better than after using CSF.Keywords: website phishing, classification, logistic regression, random forest, correlation-based

Design of Health, Safety, and Environment Digital Application with Android-Based User Interface

Health, Safety, and Environment (HSE) also known as Occupational Health and Safety (K3) is an important matter that must be considered by all parties while in the work environment. Several companies or agencies have implemented an HSE management system, both manually and digitally. Unfortunately, however, accidents continue to occur, so support and encouragement from all parties is still needed to improve the HSE management system. The purpose of this research is to design an application that can help users such as HSE officers or companies/agencies in HSE management. The method used is Waterfall. The results obtained were the successful creation of a HSE management application in digital format that named "K3 Agent" with an Android-based user interface. In testing the use of the application was successfully run and can be used to assist work such as making analyses, reports, guidelines and other requirements related to HSE

The use of the Excellence of Google Assistant for Smart Room Monitoring and Control

The development of technology in modern times is increasingly sophisticated, so as to create a tool that facilitates human work in operating these electronic goods. When you want to travel far and for a long time, there are often omissions due to forgetting to turn off electronic items such as lights and fans. This does not save the cost of electricity bills and is of course very detrimental. This research was conducted to create a utilization of the advantages of Google Assistant for monitoring and controlling smart rooms. The use of Google Assisstant is very easy if you want to control electronic devices at one time and especially at a very long distance. The electronic devices used in this study were headlights, RGB lights, rice cookers, humidifiers and DC fans. The results of this research can control the lights, rice cooker and humidifier remotely, the fan turns on at a predetermined speed according to the temperature in the room and there is a timer to turn the lights on and off automatically so that it greatly facilitates human work

Analysis Of Service Quality On The Surabaya Single Window (SSW) Website Using Modification E-Govqual Method

The online licensing service provided by the Surabaya City Government is called the Surabaya Single Window (SSW). The positive effect of online licensing is the efficiency and effectiveness of bureaucrats' performance. In order to improve the quality of services for the citizens of Surabaya through E-government, it is necessary to provide feedback to the Surabaya City Government by analyzing the service quality of the Surabaya Single Window (SSW) website on user satisfaction. This research was conducted because the Surabaya City Government publishes no feedback regarding the quality of services available on the website. The website is the simplest benchmark in seeing the implementation of E-government, so the public and the Surabaya City Government need to know the quality of the website's services to the public. User satisfaction. This study aimed to determine how service quality affects user satisfaction on the Surabaya Single Window (SSW) website. The sample in this study was 99 respondents, calculated by the Slovin formula using the purposive sampling technique. The modified E-govqual method used in this study is because there are two additional variables, namely the visual quality variable and the overall variable, which are expected to help the service quality of the Surabaya Single Window (SSW) website. This study uses quantitative techniques with validity, reliability, classical assumptions, multiple linear regression analysis, T-test, and F test. Based on the results of this study, the service quality of the Surabaya Single Window (SSW) website has an effect of 77.9% on user satisfaction and has a correlation coefficient of 88.3%. It is concluded that the Surabaya Single Window (SSW) website has a positive correlation between user satisfaction and the quality of E-government services. The results of this study can be used as an evaluation for Surabaya Single Window (SSW) website developers and can be a reference for future research

Conceptual Model of Blockchain Technology for Chicken Meat Supply Chain in Yogyakarta City

The limited number of Chicken Slaughterhouses that already have a halal certificate in Yogyakarta city, causes a limited number of chicken meat supplies that have been certified halal. Even though the majority of people in the Yogyakarta city are muslim. Therefore, halal guarantees for products concumed by the puplic are very important. One way that can be done to help track guarantees of halal product is to use blockchain technology. Blockchain can be used to assist in tracking information related to chickhen meat, so that it can increase transparency and increase consumer confidence regarding chichken meat product. The purpose of this research is to design a blockchain model on the chickhen meat supply chain in Yogyakarta city, so that customers can get informastion about chickhen meat that is distributed along supply chain. Based on the result and analysis, it is known that blockchain can allow all stakeholders involved to be able to share the information they have into the blockchain system, which later this information will be tracked by all stakeholders. So that by sharing information into the system will create data transparency an minimze data usage, because information that can no longer be changed. Keywords: Blockchain, Supply Chain Management, Halal.