KNN is one of the accepted classification tool, it used all training samples in the classification which cause to a high level of computation complexity.To resolve this problem, it is necessary to combine traditional KNN algorithm and K-Means cluster algorithm that is proposed in this paper.After completing the preprocessing step, the first thing to do is weighting the word (term) by usingTerm Frequency-Inverse Document Frequency (TF-IDF). TF-IDF weightedthe words calculating the number of words that appear in a document. Second, grouping all the training samples of each category of K-means algorithm, and take all the cluster centers as the new training sample. Third, the modified training samples are used for classification with KNN algorithm. Finally, calculate the accuracy of the evaluation using precision, recall and f-measure. The simulation results show that the combination of the proposed algorithm in this study has a percentage accuracy reached 87%, an average value of f-measure evaluation= 0.8029 with the best k-values= 5 and the computation takes 55 second for one document.

The rapid development of technology generated a lot of instant messaging applications, as an example is LINE Messenger, Telegram, WhatsApp, Facebook Messenger, BlackBerry Messenger, etc. Many instant messaging applications cause some problems, one of which is the possibility of owning more than one instant messaging applications to meet messaging needs. This is very ineffective because messages will be received from various instant messaging applications and have to open all instant messaging applications one by one to reply to those messages. Application Programming Interface technology of instant messaging can be used to build a transport layer system that allows message exchange with several instant messaging applications using only one instant messaging application. The system built in this research requires a master instant messaging to be able to distribute messages to partner instant messaging, which in this case uses LINE Messenger as the master instant messaging to distribute messages to several partner instant messaging, which is Telegram and Extensible Messaging Presence Protocol.

Watershed management becomes very important because the more maintained its watershed, the risk for disasters caused by the overflowing river became smaller. Watershed management could be done if the information on that watershed could be complete, but untill this day, the available information was lacking. This condition caused the difficulty of data collected, so required a system that could be used to perform watershed data processing. A system that to be used is Geographic Information Systems Watershed Mapping. This system  is a Web-based system that can be used for collected data and mapping the watershed using a map from Google Maps. Features polyline which was owned by Google Maps can be used to describe a network of rivers and long inundation, library geometry was used to calculate the length of polylines, feature marker was used to describe the location of the dam and the point was prone to flooding of a river and features a polygon used to describe the watershed. This system can collected data watershed in two ways, namely digitization and input the coordinates that can be done by the admin. Results from watershed data can provide information to the user about the location of the dam along with its description, the river network in the watershed, a point prone to flooding, inundation and limit the length of the watershed and its description.

Abstract-Cooperative, which support the national economy of Indonesia, still has many problems. In 2015 the report by the Ministry of Cooperatives and SMEs shows many cooperatives are inactive because of having incompetence. Some issues such as the value of savings that do not fit between the cooperative and its customers, embezzlement of customer funds by parties who are not responsible, refunds troubled loans so that the cooperative suffered losses. These problems will be used as a critical point to do mapping with COBIT 5 framework. Based on the result of this mapping, it will be prepared internal control based on the framework of possible internal controls such as COBIT(Control Objective for Information & Related Technology), COSO(Committee of Sponsoring Organizations), ITIL(IT Infrastructure Library) and national regulations that are prevailing in Indonesia. Control is expected to discuss the internal problems that occurred in each business process that used in the cooperative.

Pengetahuan umum adalah pengetahuan yang diketahui sebagian besar masyarakat. Survei LIPI Tahun 2015 menyatakan 54% dari 1.829 responden kurang paham terhadap informasi pengetahuan dan teknologi. Sebagian besar Masyarakat Indonesia lebih memilih menggunakan internet untuk media sosial dibandingkan mencari informasi seputar pengetahuan atau isu-isu di masyarakat [1]. Masalah ini dapat diatasi dengan media edukasi yang lebih interaktif, sehingga dapat menambah wawasan pengetahuan umum dengan cara yang menyenangkan. Virtual Reality merupakan teknologi yang mampu menciptakan lingkungan virtual yang interaktif. Virtual Reality digunakan untuk menciptakan permainan edukasi Labirin bernama LabirinVR. LabirinVR dibuat menggunakan SDK GoogleVR dengan Metode Collision Detection dan Penglihatan Stereoscopic. Interaksi permainan memanfaatkan sensor Accelerometer dan Gyroscope. Aplikasi mampu menambah kemampuan berpikir, kreativitas, serta wawasan pengetahuan umum Indonesia dan dunia. Hasil pengujian fungsi aplikasi adalah 100% valid dan penilaian aplikasi memiliki tingkat kelayakan 98%, sehingga aplikasi memiliki nilai UAT (User Acceptence Test) [2] yang baik, serta diterima dan digunakan masyarakat.