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All Journal International Journal of Electrical and Computer Engineering Jurnal Sain Veteriner
Purwanto, Eko Setyo
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Computer Science & IT Electrical & Electronics Engineering Veterinary

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Indonesian multilabel classification using IndoBERT embedding and MBERT classification Nabiilah, Ghinaa Zain; Alam, Islam Nur; Purwanto, Eko Setyo; Hidayat, Muhammad Fadlan
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp1071-1078

Abstract

The rapid increase in social media activity has triggered various discussion spaces and information exchanges on social media. Social media users can easily tell stories or comment on many things without limits. However, this often triggers open debates that lead to fights on social media. This is because many social media users use toxic comments that contain elements of racism, radicalism, pornography, or slander to argue and corner individuals or groups. These comments can easily spread and trigger users vulnerable to mental disorders due to unhealthy and unfair debates on social media. Thus, a model is needed to classify comments, especially toxic ones, in Indonesian. Transformer-based model development and natural language processing approaches can be applied to create classification models. Some previous research related to the classification of toxic comments has been done, but the classification results of the model still require exploration to get optimal results. So, this research uses the proposed model by using different pre-trained models at the embedding and classification stages, in the embedding stage using Indonesia bidirectional encoder representations from transformers (IndoBERT), and classification using multilingual bidirectional encoder representations from transformers (MBERT). The proposed model provides optimal results with an F1 value of 0.9032.
Optimization of Sybr Green Quantitative Real Time Polymerase Chain Reaction (qPCR) using Excreted-Secreted Antigens (ESAs) Genetik Marker for Detection Toxoplasma gondii Ekawasti, Fitrine; Winarsongko, Agus; Nepho, Farlin; Purwanto, Eko Setyo; Subekti, Didik Tulus; nuradji, harimurti; Dharmayanti, NLP Indi; Ahmad, Riza Zainuddin; Sa’diah, Siti; Cahyaningsih, Umi; Nurcahyo, Raden Wisnu
Jurnal Sain Veteriner Vol 42, No 1 (2024): April
Publisher : Faculty of Veterinary Medicine, Universitas Gadjah Mada bekerjasama dengan PB PDHI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jsv.90867

Abstract

AbstractToxoplasma gondii is an obligate intracellular parasite, causing toxoplasmosis in almost all warm-blooded animals and humans worldwide. Toxoplasmosis is a zoonotic disease of serious public health concern. Host cell invasion by T. gondii tachyzoites has process involving the sequential secretion of Excreted-Secreted Antigens (ESAs). T. gondi ESAs could be a valuable candidate for the diagnosis of toxoplasmosis. Techniques to more accurately detection of T. gondii recently developed biotechnological methods that are currently being used, conventional and real time Polymerase Chain Reaction (RT-PCR). RT-PCR is more widely used because it is more sensitive and specific. The aims of this study were to optimize the Sybr Green RT-PCR in different region gene based on Excreted-Secreted Antigens (ESAs), tachyzoite surface antigen and bradhyzoite antige, then adapt the conventional PCR program to real-time PCR for detection Toxoplasma gondii. Optimization is necessary to get optimal condition of PCR to get the best results. T. gondii RH strains derived from liquid nitrogen and DNA extracted by DNAzol. The genetic marker used GRA1#1, GRA1#2, GRA7#1, GRA7#2, ROP1, MIC3, SAG1 and BAG1. The results of the optimization of multiple primer genes can adapt and be used optimal in RT-PCR by using the same cycle program simultaneously in one run. Overall, RT-PCR for the detection of T. gondii DNA demonstrated excellent agreement with conventional PCR. RT-PCR with melting curve analysis is rapid and simple that facilitates high throughput analysis to detect T. gondii. The optimal conditions obtained from the optimization results can facilitate further research to detect T. gondii.Keywords: Biotechnology molecular, Detection, excretory-secretory antigen, toxoplasmosis
Co-Authors Alam, Islam Nur Didik Tulus Subekti Fitrine Ekawasti, Fitrine Hidayat, Muhammad Fadlan Nabiilah, Ghinaa Zain Nepho, Farlin NLP Indi Dharmayanti Nuradji, Harimurti Nurcahyo, Raden Wisnu Riza Zainuddin Ahmad Sa’diah, Siti Umi Cahyaningsih Winarsongko, Agus