There are many free instant messengers available now which allow to communicate with friends with text, phone call, video, sharing of files, in group or not and keep contact with them even internationally. But only very few of the instant messengers have gained a popularity and attention. Recent studies have shown that the most popular instant messengers are WhatsApp, Viber and Telegram. Even, Facebook acquired WhatsApp due to have huge users. Viber is another messenger with many integrated features that allows the phone calls and sends the text messages for free and there is no subscription like WhatsApp. While Telegram offers the users an open-source platform with no ads, a clean fast interface, asks for no payments whatsoever and the biggest selling point is security. WhatsApp, Viber and Telegram which instant messenger is best? The popularity of Telegram has reached at the top of Google play store and become the most downloaded messaging app in the world today. But at the moment WhatsApp is still the winner!

This study aimed to propose a tool for measuring the research performance of researchers, institutions, and journals in Indonesia based on bibliometrics. Specifically, the output of this measurement tool, referred to as the S-score, is described, as well as its implementation on the main database portal in Indonesia. The S-score was developed by a focus group discussion. The following 8 evaluation items for journal accreditation were analyzed in the development process: journal title, aims and scope; publisher; editorial and journal management; quality of articles; writing style; format of PDF and e-journal; regularity; and dissemination. The elements of the S-score are as follows: number of journal article documents in Scopus, number of non-journalarticle in Scopus, number of citations in Scopus, number of citations in Google Scholar, the hindex in Scopus, and the h-index in Google Scholar. The S-score yields results ranging from S1 to S6. The above metrics were implemented on the Science and Technology Index, a database portal in Indonesia. The measurement tool developed through the focus group discussion was successfully implemented on the database portal. Its validity and reliability should be monitored consistently through regular assessments of S-scores. The S-score may be a good example of a metric for measuring the performance of researchers, institutions, and journals in countries where most journals are not indexed by Scopus.

The aim of this work is to analyse the performance of the new proposed hybrid parameterisation model in handling problematic data. Three types of problematic data will be highlighted in this paper: i) big data set, ii) uncertain and inconsistent data set and iii) imbalanced data set. The proposed hybrid model is an integration of three main phases which consist of the data decomposition, parameter reduction and parameter selection phases. Three main methods, which are soft set and rough set theories, were implemented to reduce and to select the optimised parameter set, while a neural network was used to classify the optimised data set. This proposed model can process a data set that might contain uncertain, inconsistent and imbalanced data. Therefore, one additional phase, data decomposition, was introduced and executed after the pre-processing task was completed in order to manage the big data issue. Imbalanced data sets were used to evaluate the capability of the proposed hybrid model in handling problematic data. The experimental results demonstrate that the proposed hybrid model has the potential to be implemented with any type of data set in a classification task, especially with complex data sets.

IMPLEMENTASI COSINE SIMILARITY MATCHING DALAM PENENTUAN DOSEN PEMBIMBING TUGAS AKHIR