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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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Comparative Analysis of Classification Methods in Sentiment Analysis: The Impact of Feature Selection and Ensemble Techniques Optimization
Defit, Sarjon
; Universitas Putra Indonesia “YPTK” Padang
; Windarto, Agus Perdana
; STIKOM Tunas Bangsa
; Alkhairi, Putrama
; STIKOM Tunas Bangsa
Telematika
Vol 17
, No 1
(2024)
Optimizing classification methods (forward selection, backward elimination, and optimized selection) and ensemble techniques (AdaBoost and Bagging) are essential for accurate sentiment analysis, particularly in political contexts on social media. This research compares advanced classification models with standard ones (Decision Tree, Random Tree, Naive Bayes, Random Forest, K-NN, Neural Network, and Generalized Linear Model), analyzing 1,200 tweets from December 10-11, 2023, focusing on "Indones...
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14 Sitasi
Optimizing Clustering of Indonesian Text Data Using Particle Swarm Optimization Algorithm: A Case Study of the Quran Translation
Telematika
Vol 17
, No 1
(2024)
The Quran considered the holy book for Muslims, contains scientific and historical facts affirming Islam's truth, beauty, and influence on human life. Consequently, the Quran text and its translations are valuable sources for text mining research, particularly for studying the interrelationship of its verses. One approach to grouping objects using certain algorithms is clustering, with K-Means Clustering being a prominent example. However, clustering results are often suboptimal due to the rando...
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Optuna Based Hyperparameter Tuning for Improving the Performance Prediction Mortality and Hospital Length of Stay for Stroke Patients
Tikaningsih, Ades
; Universitas Amikom Purwokerto
; Lestari, Puji
; Universitas Amikom Purwokerto
; Nurhopipah, Ade
; Universitas Amikom Purwokerto
; Tahyudin, Imam
; (Scopus ID: 56764427700, Universitas Amikom Purwokerto)
; Winarto, Eko
; RSUD Banyumas Polyclinic Neural
; Hassa, Nazwan
; RSUD Banyumas Polyclinic Neural
Telematika
Vol 17
, No 1
(2024)
Cardiovascular disease (CVD) stands as the foremost contributor to worldwide mortality, with strokes as part of significant CVD. Research on potential mortality risks and hospitalizations for stroke patients became crucial as a basis for evaluation to improve the quality and control of stroke patient services. Although machine learning technology has been widely used in health data analysis, understanding the relative performance and characteristics of machine learning (ML) models is still limit...
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Hubungan Intensitas Penggunaan Sosial Media dengan Prokrastinasi Akademik Siswa MTsN 2 Bukittinggi
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 3
, No 1
(2024)
This paper examines the relationship between the intensity of social media use and academic procrastination in students of MTsN 2 Bukittinggi. Using a correlative quantitative method, this study found that students' intensity of social media use has a significant relationship with their academic procrastination. The hypothesis was accepted with a considerable correlation value (0.431), and the positive correlation indicated that the higher the intensity of social media use, the higher the level...
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Dataset Analysis and Feature Characteristics to Predict Rice Production based on eXtreme Gradient Boosting
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Rice plays a vital role as the main food source for almost half of the global population, contributing more than 21% of the total calories humans need. Production predictions are important for determining import-export policies. This research proposes the XGBoost method to predict rice harvests globally using FAO and World Bank datasets. Feature analysis, removal of duplicate data, and parameter tuning were carried out to support the performance of the XGBoost method. The results showed excellen...
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33 Sitasi
Gambaran Penggunaan Obat Pada Pasien Diabetes Mellitus Tipe 2 DI Intalasi Rawat Jalan RS dr. Oen Solo Baru Periode Januari-Juni 2023
Jurnal Ilmiah Sains dan Teknologi
Vol 6
, No 01
(2024)
Diabetes mellitus (DM) is a widespread health problem and continues to increase every year. Management of DM involves implementing a healthy lifestyle, increasing physical activity, and pharmacological therapy. The aim of this research was to determine the description of drug use in patients with type 2 diabetes mellitus in the outpatient installation of Dr. Hospital. Oen Solo Baru for the period January-June 2023. This research is a non-experimental descriptive research design where data is col...
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Identifikasi Uji Mutu Dan Sensori Kopi Bubuk
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
Coffe is one the plantation commodities that has high economic value and plays an important role as a source of foreign exchange for the country. The purpose of this study was to examine the quality test, tp determine whether there was a difference and to determine the content of water content, ash, alkalinity of the ash, coffee extract, caffeine and mineral Zinc (Zn) as well as the sensory test on ground coffe that met the requirements based on SNI 01-3542-2004. This research consisted of two r...
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Pemanfaatan Teknologi Informasi, Literasi Keuangan, Modal Usaha dan Kreativitas dalam Mencapai Business Sustainability pada Mahasiswa Wirausaha
Widiastuti, Ekaningtyas
; (SINTA ID : 6152351, Universitas Jenderal Soedirman)
; Simin, Simin
; Listiowati, Emyliana
; Nikmah, Filda Khoirun
Probisnis
Vol 17
, No 1
(2024)
Penelitian ini bertujuan untuk menguji pemanfaatan teknologi informasi, literasi keuangan, modal usaha, dan kreativitas dalam mancapai business sustainability pada Mahasiswa Wirausaha Universitas Jenderal Soedirman. Metode pengumpulan data yang digunakan berupa kuisioner. Teknik pengambilan sampel dalam penelitian ini adalah Convenience sampling. Analisis data menggunakan program SPSS dengan metode Regresi Linear Berganda. Sampel yang dihasilkan sebanyak 99 responden mahasiswa berwirausaha. Hasi...
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Pemanfaatan Aplikasi Get Contact Untuk Mengurangi Tingkat Penipuan Jual Beli Online (Pelatihan Kepada Pelaku UMKM di Desa Margosari Limbangan Kendal)
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 4
, No 1
(2024)
Abstract
The Get Contact application is an application that can be easily downloaded for free through Playstore and Appstore. MSME stakeholders in Margosari Limbangan Kendal Village on average promote their products through social media and marketplaces. Online fraud is very rampant in the near future and there is a need for guidance for MSME stakeholders. This community service activity aims to provide knowledge to MSME stakeholders in Margosari Limbangan Kendal Village on how to use the Get Co...
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