Nowadays, many Christian institutions are using digital media to save spiritual pictures, musics or videos, even daily devotional articles which is usually printed monthly. Since many daily devotionals are published in the Internet, it will be difficult to find a daily devotional articles with a spesific topic/category. To make it easier, in this research we use Rocchio’s classification, which use TF-IDF weighting for classification and centroid calculation in every category to classify daily devotional articles. Every testing article will be matched with the centroid using cosine similariy. As a result, the system accuracy is 73,33% using 20% of feature selection. The highest precision goes to Wisdom category which score is 1 for precision by using 100% feature selection. While the highest recall goes to Motivaton category which score is 1 by using 100% feature selection..
Index Terms—classification, categorization, daily devotional article, Rocchio’s classification, centroid, similarity
Instagram is the most famous pictures and videos media sharing based on the web & mobile application. Instagram users can have picture posts that can be commented by their followers. Indonesian public figures such as actors, actresses, musicians use Instagram to promote their activities to their followers. Unfortunately, there are a lot of spam comments in Instagram that need special attention and have to be removed. This research grabs Instagram comments and builds the dataset from Indonesian public figures who have more than one million followers. By using preprocessing (tokenization, stop words removal, and stemming), TF-IDF weighting, and supervised learning, Naive Bayes method is used to detect spam comments in Indonesian. Naive Bayes produces 74,31% accuracy rate on unbalanced datasets and 77,25% accuracy rate on balanced datasets. This result shows that Naïve Bayes can be used to build an automatic Indonesian spam comments detector on Instagram with high accuracy rate. The novelty of this research is that Naive Bayes can be used to detect spam comment on our Indonesian Instagram comments dataset.
Index Terms—Instagram, Naive Bayes, Indonesian spam comments, spam comments detection.
Disable Person Organization Mitra Sejahtera (DPO Mitra Sejahtera) is an organization for disable people and found by Christian Public Health Foundation (YAKKUM) in Yogyakarta, especially in some areas in Gunung Kidul, Bantul, and Kulon Progo, Special Region of Yogyakarta. This organization focuses on empowering and advocation activity of its member and society surrounding the organization. DPO Mitra Sejahtera has a problem that its member has limitation in the usage of basic computer and office application, such as word processor and spreadsheet processor. Thus, Faculty of Information Technology, Duta Wacana Christian University conducted training for member of DPO Mitra Sejahtera. This training was held on March, 25-26 2019 in the DPO Mitra Sejahtera Head Office. The training gives a good result. Participants feels that the training is useful for them to help them understanding the basic function of word processing and spreadsheet processing.
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