Kunyahku is an online catering platform that provides catalogs of menus from local caterer near the user and become the distributor that will take the order and deliver them. In developing an application, the most important aspect for small start-up companies is to have a development stack that can deliver the app into multiple platform by using a single code base to reduce the cost of developers, improve efficiency and reduce the time to develop the application itself. To provide the necessity of building an application for Kunyahku, this paper is aimed to find the most suitable cross platform framework for developing the Kunyahku application. This research focuses on comparison between existing popular cross-platform and proving the suitable one to be used in development cycle in the case of Kunyahku requirements. Sets of test and comparison were conducted in order to compare the most suitable cross platform between React Native and Flutter such as render test and comparing each advantage coming out from using each of the cross-platform.After all the requirements are gathered and then the most suitable framework will be chosen which is Flutter. Performance analysis and the benefits of using Flutter framework are elaborated and thus proving it is the most suitable development stack to be used in Kunyahku case and the development time can be reduced since it is a cross-platform technology that output the application into three different platform rather than managing separate platform for each different one. Testing shows that flutter also met all the requirements thus proving flutter address the problems of scalability and faster development compared to developing each native platform one by one.

Human resource is one of the functions of a company that is considered as an asset. Therefo re, the theory of performance qualificat ion was adopted by the company in order to get an overview of employee performance. Furthermore, the company needs an effective method to predict the performance not only for the employees but also for the new applic ants. The goals of this research are to get a decision tree model of the employee performance. By learning employee data, the performance of the new applicants could be predicted. The study would provide the characteristic of new applicants who will give better performance than other applicants . The data from a company in Indonesia will have been used for this research. The data mining technique will be applied to the data of operators (such as admins, clerks, cashiers, machine operators, and security offi cers). The data mining technique was use d is decision tree. The decision tree technique was commonly used for a supervised learning data. The decision tree technique also has advantages compared others, because of its ability to produce information that is easy to understand. The result of this research shown the high dependency of employee performance with employment type (work contract). It also means that employees are encouraged to provide good performance to the company if those employees have become p ermanent employees. This research also showed that there is no relationship between employee performances with gender or position grade.

In this study, researchers are interested to see the potential threat of Act 11 of 2008 (Chapter VII, Article 27, Paragraph 3) to the values of democracy. Act No.11 of 2008 turned out to save a potential threat to the values ​​of democracy in Indonesia. It is related to Chapter VII, Article 27, Paragraph 3 regulating defamation / or defamation. Through the article, the government can impose penalties for civil society if insulting / or defamation in cyberspace. Researchers using the method of literature study in collecting research material. In the analysis, the researchers used a model of interactive method of Miles and Huberman analysis.

The internet utilization is become more growth for every years where the cyber-attack also taking part into risk in the organization. The existing cyber security infrastructure (Web gateway) shall be replacing to answer adequate of respond to threat, Vulnerabilities or viruses. Therefore company using NIST Framework [1] to improving Infrastructure Cyber Security thru identification of risk. The framework will help Company to identify, asses and managing cyber security risk in regards with replacing the old Web Gateway. And future outcomes of the replacement of Internet web gateway shall address the current and future profile and managed security program base on risk evaluation.

The malware spreads massively in Indonesia. The security in Information Technology doesn’t seem to become a top priority for Indonesian. The use of pirated software is still high, although it is the biggest threat and entrance for the malwares to attacks. This paper shows how to collect a spreading malware in a system to know the malware trends that exist. So, the owner may know the malware trends inside his system and he can countermeasure the attacks. To collect the malwares, I use the Dionaea, the honeypot to collect malware and implement it to Raspberry Pi. Raspberry Pi is a small, low cost and low energy consumption computer. By using Raspberry Pi to collect malware, we can minimize budget, save the energy and space.

Today’s world, developing an application that meets exactly the need of organizational business is getting tougher and more challenging, with the additional complexity of business flow and the increasing and diversity of the data that an organization has. In addition, the customers are more demanding than before in term of using an information system or software application and within an instant result which gives an extra pressure for those who work as an application developer. Rework of the software application tends to contain very negative impact to the company because it is impacting the cost for the organization. This paper is trying to resolve the problem that causes a lot of rework occurred in the case study provided. By finding out the root cause of the problem, the literature study is conducted in order to have some recommendations to be applied to the case study given. After having a discussion by conducting interview session with the expert, the result in form of a recommendation is then defined. As the final result, it is decided that the best and most appropriate recommendation to be applied is by implementing System Configuration Management (SCM) and the SMC tools chosen is Team Foundation Server or usually called as TFS.

A comparison between two methods to understand the players’ behavior in games. The first one is the player types model by Richard Bartle, and the second is the motivations model by Nick Yee. It’s concluded that Yee’s model is better when the developers need a more detailed understanding on their users, while Bartle’s model is better to use when the developers need to classify the users in a quicker and simpler way.

Configuration parameter tuning is an essential part of the implementation of Hadoop clusters. Each parameter in a configuration plays a role that impacts the ov erall performance of the cluster. Therefore, we need to learn the characteristics of said parameter and understand the impact in hardware utilization in order to achieve optimal configuration. In this paper, we conducted experiments that includes modifying configuration and performed benchmark to find out if there is any performance gain. TeraSort is the program that runs the benchmark, we measure the time needed to complete the sort of the set of data and the CPU utilization during the benchmark. We conclu de that from our experiments we can see significant performance improvements by tuning with the configurations. However, the results may vary between different cluster configuration.