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Automatic Analysis of Natural Disaster Messages on Social Media Using IndoBERT and Multilingual BERT
Safitri, Yasmin Dwi
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Lambung Mangkurat University
; Kartini, Dwi
; Lambung Mangkurat University
; Saragih, Triando Hamonangan
; Lambung Mangkurat University
; Abadi, Friska
; Lambung Mangkurat University
; Bachtiar, Adam Mukharil
; Japan Advanced Institute of Science and Technology
Telematika
Vol 18
, No 2
(2025)
Information about natural disasters disseminated through social media can serve as an important data source for mitigation processes and early warning systems. Social media platforms, such as X (formerly known as Twitter), have become primary channels for conveying real-time information, especially during disaster emergencies. With the large amount of unstructured disaster-related text that must be processed, the main challenge is accurately filtering and classifying messages into three categori...
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Comparative Analysis of Distance Metrics in KNN and SMOTE Algorithms for Software Defect Prediction
Maulidha, Khusnul Rahmi
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Lambung Mangkurat University
; Saputro, Setyo Wahyu
; Lambung Mangkurat University
; Abadi, Friska
; Lambung Mangkurat University
; Nugrahadi, Dodon Turianto
; Lambung Mangkurat University
; Adi, Puput Dani Prasetyo
; National Research and Innovation Agency (Badan Riset dan Inovasi Nasional)
; Hariyady, Hariyady
; Universiti Malaysia Sabah
Telematika
Vol 18
, No 1
(2025)
As the complexity and scale of projects increase, new challenges arise related to handling software defects. One solution uses machine learning-based software defect prediction techniques, such as the K-Nearest Neighbors (KNN) algorithm. However, KNN’s performance can be hindered by the majority vote mechanism and the distance/similarity metric choice, especially when applied to imbalanced datasets. This research compares the effectiveness of Euclidean, Hamming, Cosine, and Canberra distance met...
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Identification of Social Media Posts Containing Self-reported COVID-19 Symptoms using Triple Word Embeddings and Long Short-Term Memory
Amalia, Raisa
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Universitas Lambung Mangkurat
; Indriani, Fatma
; Universitas Lambung Mangkurat
; Budiman, Irwan
; Universitas Lambung Mangkurat
; Mazdadi, Muhammad Itqan
; Universitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Mafazy, Muhammad Meftah
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 17
, No 1
(2024)
The COVID-19 pandemic has permeated the global sphere and influenced nearly all nations and regions. Common symptoms of this pandemic include fever, cough, fatigue, and loss of sense of smell. The impact of COVID-19 on public health and the economy has made it a significant global concern. It has caused economic contraction in Indonesia, particularly in face-to-face interaction and mobility sectors, such as transportation, warehousing, construction, and food and beverages. Since the pandemic beg...
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Comparison of Industrial Business Grouping Using Fuzzy C-Means and Fuzzy Possibilistic C-Means Methods
Lestari, Mega
; Lambung Mangkurat University
; Kartini, Dwi
; Lambung Mangkurat University
; Budiman, Irwan
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Lambung Mangkurat University
; Muliadi, Muliadi
; Lambung Mangkurat University
Telematika
Vol 16
, No 2
(2023)
The industrial business sector plays a role in the development of the economic sector in developing countries such as Indonesia. In this case, many industrial businesses are growing, but the data has not been processed or analyzed to produce important information that can be processed into knowledge using data mining. One of the data mining techniques used in this research is data grouping, or clustering. This research was conducted to determine the comparison results of the Cluster Validity Ind...
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Classification of COVID-19 Cough Sounds using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Support Vector Machine
Mafazy, Muhammad Meftah
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Lambung Mangkurat University
; Kartini, Dwi
; Lambung Mangkurat University
; Indriani, Fatma
; Lambung Mangkurat University
; Saragih, Triando Hamonangan
; Lambung Mangkurat University
Telematika
Vol 16
, No 2
(2023)
A lot of research has been carried out to detect COVID-19, such as swabs, rapid antigens, and using x-ray images. However, this method has the disadvantage that it requires taking samples through physical contact with the patient. One way to avoid physical contact is to use audio through coughing with the aim of reducing the transmission of COVID-19. Audio feature extraction such as the Mel Frequency Cepstral Coefficient (MFCC) has often been used in audio classification research, such as the cl...
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