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All Journal jurnal teknik informatika dan sistem informasi
Maresha Caroline Wijanto
Universitas Kristen Maranatha
Computer Science & IT

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Sistem Pendeteksi Pengirim Tweet dengan Metode Klasifikasi Naive Bayes Wijanto, Maresha Caroline
Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v1i2.584

Abstract

Until Januari 2015, social media users reached 29% of the world population. In Indonesia itself had 28% active users from total populasi of Indonesia. The usage of social media gives positives and negatives effect. The negatives effect are the increasing number of fraud by using SMS or social media, such as Twitter. Many people are deceived by the tweet messages sent from known user account when in fact the sender is other person. Because of that, there is a need to have a system to detect wheteher the tweet sender is the same person or not. Naive Bayes classifiers method is used to classify that. The data source is taken from tokens selected based on two models, the minimum n-time number of occurrences and the n-th highest number of occurrences. Each tweets also processed into six different types of tweets, such as formal tweet or lowercase tweet. The test uses tenfold cross-validation and measured by the value of accuracy, precision, recall, and F-score. The common result shows 82,145% level of accuracy. Second model to select the tokens shows consistency level of accuracy for each types of tweets. The fifth types of tweets also get the highest level of accuracy for both models to select the tokens.
Pengembangan Admisi Universitas Berbasis Sistem Pengelola Pengetahuan Liman, Nathanael; Wijanto, Maresha Caroline; Ayub, Mewati; Suteja, Bernard Renaldy; Jaya, Try Atmaja Linggan
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 2 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i2.4651

Abstract

 The study will develop a prototype to implement a knowledge management system using the information retrieval method. As a study case, the knowledge about university admission will be used. The users of the system consist of guests, admin, and admission staff. The guest can search for information in the dashboard and give suggestions. The admission staff can add new knowledge or modify the existing knowledge. The new knowledge should be verified and approved by the admin. The testing was performed to verify that the system works as it should be, especially for information searching. The results show that searchingusing lowercase and without stopword, or punctuation gives better similarity index. Searching using unigram also has better similarity index.
Co-Authors Bernard Renaldy Suteja Doro Edi Erico Darmawan Handoyo Jaya, Try Atmaja Linggan Liman, Nathanael Mewati Ayub Oscar Karnalim, Oscar Robby Tan Sulaeman Santoso, Sulaeman Wenny Franciska Senjaya