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The insurance business within an insurance company offers insurance products owned by the insurance company. In every insurance product there is a premium payment and the premium is the income of an insurance company at the rate of the amount insured. The problem that PT BNI Life Insurance has is that there are many stops in premium payments such as policy redemptions due to errors in the benefits received or incorrect selection of the insurance product, this can reduce the achievement of targets for an insurance company. The aim of this research is to find out the best classification algorithm compared between K-Nearest Neighbor and Naive Bayes to predict the type of insurance product that customers will choose. In this research, data mining methods are applied to compare two different methods, namely the K-Nearest Neighbor method and the Naïve Bayes method. The level of accuracy results for the K-Nearest Neighbor method is 80% and the Naïve Bayes method is 70.53%, which means that the K-Nearest Neighbor method is the best method to apply to an insurance product classification system based on the demographics of prospective customers.

Sentiment analysis of comments from visitors to tourist attractions and the public on tourist attractions in Sukabumi Regency which is one of the areas with various categories of tourist objects and is a sector of economic income for the surrounding community or for related parties such as the government and managers, in sentiment analysis research This includes using the Nave Bayes classification algorithm to examine the sentiment of tourist visitors and the performance of the classification model used. The data used in this research was taken from the website from Tripadvisor and Google Maps using a crawling technique, which then processed the data by a pre-processing process and then applied a classification to the data and got a sentiment visualization by processing word frequency on tourist visitor sentiment data. The results of the accuracy of the model used were re-tested with the k-fold cross validation method and the results of sentiment visualization got the frequency of words that most often appear on negative sentiment labels are garbage, beaches, lacking, places, roads, parking, dirty, entering, caring, clean , expensive, pay, manage, good and water.

Information technology is a technology used to process data, including processing, obtaining, compiling, storing, manipulating data in various ways to produce relevant, accurate and timely information, which is used for personal, business and government purposes and is strategic information for decision making, in recording fixed assets for example, must be managed properly because the need for the data is frequent intensity, the number of items is not small so it is impossible to memorize, the calculation of depreciation of fixed assets of a company needs to be done at the end of every year because it will affect the book value and depreciation expense on the balance sheet and depreciation expense on fixed assets on the income statement. This depreciation calculation can also be used as a reference in the allocation to purchase new assets if the existing fixed assets can no longer be used. Obstacles in preparing depreciation reports if not resolved immediately will have a bad impact on schools, for example being late in submitting annual tax reports due to the long preparation of depreciation reports will result in schools being fined for being late in reporting the annual corporate tax return. With the accounting information system for depreciation of fixed assets, it is expected that it will facilitate officers in managing fixed asset data and depreciation reports. The new system that will be designed is web-based, so that it can be accessed at any time by interested parties and makes coordination time more effective.

This research was made with the aim of developing the application of determining the recipient of Rastra (Rice Prosperous) aid in Tobu Village. South middle Timor district by applying the exponential comparison method. Variables or criteria used in this study are work, income, number of dependents, building area and housing conditions and detailed criteria on each variable. This research succeeded in developing an application ranking community beneficiaries of Rastra in Tobu village by using the exponential comparison method (MPE). In this application provides a graphical display feature, print reports that will be used to print and view the results of the ranking of people who are entitled to receive Sejahtera ria. 

Public transportation is one of the important modes of transportation and is the backbone of transportation in Indonesia. The development of public transportation is also supported by the government, this government support is evident in the national policy, namely the National Medium Term Development Plan (RPJMN). Although public transportation is an effective mode of transportation, it also has obstacles in its development, namely how to meet customer desires in choosing a mode of transportation. There are several variables that are the focus of this research, namely age, gender, income, cost, speed, comfort, safety, efficiency and flexibility. The search for influential variables will use the K-Means and DBSCAN clustering algorithms, these two algorithms are also compared to their performance to find a better algorithm. The results of the Silhouette Coefficient show that DBSCAN has a better performance with a value of 0.99 than K-Means with a value of 0.86. The variables that affect the interest in using public transportation are the most important ones related to cost, speed, comfort, safety, efficiency and flexibility.

Over time, the Riau Kepualaun Provincial Tax Management Office which lives in Batam City underwent a name change to become a Regional Tax and Retribution Management Agency for the Riau Islands Province (BP2RD). This study aims to design a dashboard that can assist Eschelon officials in monitoring the performance of the State Civil Apparatus (ASN) at the Regional Tax and Retribution Management Agency of the Riau Islands Province. Because there is no system that displays information related to the work done and completed by an ASN, a dashboard design is needed. Data on the dashboard system is obtained from ASN performance data consisting of activity grouping data, activity weights, monthly targets in one year, and distribution of incentives and employee income benefits based on the achievement of target weights. The modeling system used is the Unified Modeling Language (UML), with the use case, activity, sequence and class diagram stages. While the development of this research system uses the Macro Process method in Object Oriented Analysis Design (OOAD) with the stages of Requirements, Analysis and Design, Implementation and Testing. The dashboard is designed based on a website, using the PHP programming language and using MySQL as the database. Qualitative research techniques, by collecting data and information descriptively. The results of this study display a dashboard in the form of text consisting of the number of employees, targets, target achievement, target percentage, target employee income allowances, and employee income allowances obtained, as well as a dashboard in the form of a pie chart and bar chart for target and achievement percentages respectively. target, it is hoped that this dashboard can assist Eschelon Officials in assessing and monitoring the performance of the State civil apparatus.