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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) International Journal of New Media Technology Jurnal ULTIMATICS Aptekmas : Jurnal Pengabdian Kepada Masyarakat Prioritas : Jurnal Pengabdian Kepada Masyarakat
Dennis Gunawan
Universitas Multimedia Nusantara
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Journal : Jurnal ULTIMATICS

 1 
Aplikasi Rekomendasi Buku Pada Katalog Perpustakaan Universitas Multimedia Nusantara Menggunakan Vector Space Model Richard Firdaus Oeyliawan; Dennis Gunawan
Ultimatics : Jurnal Teknik Informatika Vol 9 No 2 (2017): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2609.417 KB) | DOI: 10.31937/ti.v9i2.639

Abstract

Library is one of the facilities which provides information, knowledge resource, and acts as an academic helper for readers to get the information. The huge number of books which library has, usually make readers find the books with difficulty. Universitas Multimedia Nusantara uses the Senayan Library Management System (SLiMS) as the library catalogue. SLiMS has many features which help readers, but there is still no recommendation feature to help the readers finding the books which are relevant to the specific book that readers choose. The application has been developed using Vector Space Model to represent the document in vector model. The recommendation in this application is based on the similarity of the books description. Based on the testing phase using one-language sample of the relevant books, the F-Measure value gained is 55% using 0.1 as cosine similarity threshold. The books description and variety of languages affect the F-Measure value gained. Index Terms—Book Recommendation, Porter Stemmer, SLiMS Universitas Multimedia Nusantara, TF-IDF, Vector Space Model
Situsparu: Sistem Pakar Untuk Deteksi Penyakit Tuberkulosis Paru Ricky Surya; Dennis Gunawan
Ultimatics : Jurnal Teknik Informatika Vol 10 No 1 (2018): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1975.853 KB) | DOI: 10.31937/ti.v10i1.781

Abstract

Tuberculosis is an infectious disease caused by mycobacterium tuberculosis. It can affect some parts of the body: lungs, lymph nodes, intestines, kidneys, endometrium, bones, and brain. According to the survey of tuberculosis prevalence conducted by Republic of Indonesia Ministry of Health in 2013-2014, Indonesia was the second country in the world with the most case of tuberculosis. It makes Indonesia become a country with emergency in lungs tuberculosis. An expert system for lungs tuberculosis detection is built to help people detecting the possibility of suffering from lungs tuberculosis. Therefore, it is hoped that the lungs tuberculosis patient can have early treatment. Certainty factor is used to solve the uncertainty problem delivered by the doctor when examining the patient. Thus, certainty factor is an appropriate method to be used in the expert system for detecting certain disease. This method has been correctly implemented, proved by comparing system detection result to manual calculation result. The expert system has 81.25% accuracy, 83.49% success using DeLone and McLean model, and a cronbach alpha of 0.82 which indicates a good reliability based on the indicators used in the questionnaire. Index Terms— Certainty Factor, Disease Detection, Expert System, Pulmonary Tuberculosis, Situsparu
Co-Authors Adhi Kusnadi Angga Permana Farica Perdana Putri Fenina Twince Tobing Hansen Edrick Harianto Hira Meidia Istiono, Wirawan Kevin Kusnardi Maria Irmina Prasetiyowati Marlinda Vasty Overbeek Mochamad Rizal Moeljono Widjaja Ni Made Satvika Iswari Richard Firdaus Oeyliawan Ricky Surya Seng Hansun Sintya Oktaviani Waworuntu, Alexander William Aprilius Yaman Khaeruzzaman