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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Jurnal SOLMA Voice Of Informatics JURIKOM (Jurnal Riset Komputer) CCIT (Creative Communication and Innovative Technology) Journal Jambura Journal of Electrical and Electronics Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Rambideun : Jurnal Pengabdian Kepada Masyarakat Indonesian Collaboration Journal of Community Services (ICJCS) Journal of Innovation Research and Knowledge Ceddi Journal of Education CSRID Jurnal Pengabdian Masyarakat (JURDIMAS) DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) DIPANEGARA KOMPUTER SISTEM INFORMASI (DIPAKOMSI)
Nurdiansah
Univeristas Dipa Makassar
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Journal : csrid

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Implementasi Metode Certainty Factor Pada Sistem Pakar Untuk Mendiagnosis Gangguan Mental Berbasis Android Nurdiansah; Cucut Cucut Susanto; Husain T; Irmawati; Akbar Bahtiar
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Good mental health is a condition when our mind is in a state of calm and calm, allowing us to enjoy everyday life and appreciate others around us. The importance of mental health for life because it can affect how a person thinks. Mental disorders can change the way a person handles stress, relates to others, makes choices, and triggers the desire to hurt oneself. In this study, the author intends to design and build an expert system to diagnose android-based mental disorders using the certainty factor method. The certainty factor method is a method used to measure something whether it is certain or uncertain in diagnosing and identifying a problem. In whitebox testing, conclusions are drawn, from the overall results of testing the applications made are free from logical errors, this can be seen from the results of calculations for the number of Cyclomatic Complexity (CC) is 12, Region = 12 and IndependentPath = 12, all values are the same. In the blackbox testing, conclusions are drawn, the overall results of the input and output testing of the application that are made are in accordance with the desired specifications. a value of 73% means the system can work well.
Aplikasi Kemiripan Dokumen Menggunakan Multi Algoritma Pada UNDIPA Makassar Nurdiansah; Arwansyah; Cucut Susanto; Willem Musu; Suryani; Saprial Metthew Godliving Perdamaian Ani
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.320-332

Abstract

Measuring similarity between text documents is a fundamental task in Natural Language Processing (NLP) with broad applications, such as plagiarism detection, document clustering, and recommendation systems. This study aims to analyze and compare the performance of various document similarity algorithms, ranging from traditional lexical approaches to modern semantic methods. The algorithms reviewed include Bag-of-Words (BoW), TF-IDF, and Jaccard Similarity, as well as semantic representation-based methods such as Word Embeddings, Doc2Vec, and Sentence-BERT. An interactive web application was developed using the Gradio library to visualize comparison results in real-time and allow users to upload their own documents. The results indicate that lexical methods are effective at detecting keyword-based similarity but fail to capture semantic similarity when synonyms are used. Conversely, semantic methods—particularly Sentence-BERT—significantly outperform others in identifying contextual and semantic similarity, yielding more accurate scores for documents that differ in vocabulary yet share similar meanings. The study concludes that selecting the appropriate algorithm requires considering document characteristics and analysis objectives, and that the developed interactive tool can serve as an educational and experimental platform for such evaluations
Co-Authors Abdul Ibrahim Ahmad Ahmad Ahyuna Ahyuna Akbar Bahtiar Akbar Bahtiar Akbar Bahtiar Andi Harun Afdillah Mappatunru andi hasriadi putra Andi Irmayana Andrew Ridow Johanis Andrew Ridow Johanis M Annah Annah, Annah Ansarullah Ansarullah Aprizal Aprizal Arham Arifin Arkjun Yudistira Pratama Arwansyah Asmah Akhriana Asrul Syam Asrul Syam Asrul Syam Cucut Cucut Susanto Cucut Susanto Cucut Susanto Djafar, Imran Erfan Hasmin erna erna Faizal Faizal Fatmasari Fatmasari Hardi Hardi Harlina, Sitti Hasriani Hasriani Hasyrif SY Hasyrif SY Hasyrif SY Helga Chriesensia Milletri Pangloli Heriadi Heriadi Herlinda Herlinda Herman Heriadi Husain Husain Husain T Irmawati Irmawati Joseph Tumiwa kasmawaru kasmawaru Madyana Patasik Magfirah Magfirah Marsa Marsa Michael Oktavianus Muh. Farhan Hidayat Muh. Khaddafi Muhammad Issyar Mubarak Opu Muhammad Sulkifly Nasrum Nasrum Nirwana Nirwana Novita Sambo Layuk Nurhudayah Nurhudayah Nurlina Nurlina Nurlindasari Tamsir Nurul Aini Risma Putri Willy Tutang Rismayani Rismayani Sadly Samsuddin Sadly Syamsudddin Sadly Syamsuddin Saprial Metthew Godliving Perdamaian Ani Siti Aisa Sitti Aisa Sitti Harlina Sri Wahyuni Suci Ramadhani Arifin Sunardi Sunardi Suryani Suryani Usman Usman Usman Usman Uzaimin Nasruddin Wilda Wilda Willem Musu Zulkarnain Zulkarnain