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Application of ADASYN Technique in Classification of Stroke Disease using Backpropagation Neural Network zikrillah aulia, said rizki; okfalisa, okfalisa; haerani, elin; oktavia, lola
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/jdhv9s39

Abstract

The high prevalence of stroke in Indonesia and the challenge of imbalanced medical record data are major obstacles to the development of an accurate early detection system. This research aims to build a reliable stroke classification model by applying the ADASYN (Adaptive Synthetic Sampling) oversampling technique to address class imbalance before the data is processed using the Backpropagation Neural Network (BPNN) algorithm. The ADASYN technique is applied with the goal of reducing the bias that arises from the imbalanced data distribution between the majority and minority classes. Testing was conducted through various data splitting scenarios (70:30, 80:20, 90:10) and hyperparameter variations to find the optimal configuration. The best results were obtained with the 90:10 data split scheme, using an architecture of 29 neurons and a learning rate of 0.01, which successfully achieved peak performance with an accuracy of 90.46% and an F1-score of 91.03%. This study demonstrates that the combination of ADASYN and BPNN is a highly effective approach for producing a stroke prediction model that is not only accurate but also sensitive to the minority class, thus having great potential as an early detection support tool in the healthcare sector.
Klasifikasi Sentimen Masyarakat Terhadap Kaesang Pangarep pada Media Sosial Twitter/X Menggunakan MLP Classifier dengan Fitur FastText Tarmizi, Veci Cahyono; Agustian, Surya; Okfalisa, Okfalisa; Pizaini, Pizaini
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8815

Abstract

Social media has become a primary channel for the public to express their opinions and reactions toward various political developments in Indonesia. One of the prominent discussions revolves around Kaesang Pangarep’s appointment as the Chairman of the Indonesian Solidarity Party (PSI). This study aims to analyze and classify public sentiment regarding this issue by employing the Multi-Layer Perceptron (MLP) algorithm integrated with FastText-based text representation. The dataset was collected from Twitter using keywords such as “Kaesang PSI”, and was further expanded with additional data from general topics including Covid-19 and Open Topic, ensuring a balanced distribution across positive, neutral, and negative sentiment categories for a more comprehensive representation of public opinion. The model’s performance was evaluated through four metrics: accuracy, precision, recall, and F1 Score. The experimental results demonstrate that the MLP–FastText model achieved consecutive scores of 0. 5129 for F1 Score, 0. 6035 for accuracy, 0. 5319 for precision, and 0. 5996 for recall. These findings indicate that the combination of MLP and FastText effectively captures sentiment patterns within textual data, particularly in the context of unstructured and dynamic social media content, and performs well when enhanced with relevant external data augmentation strategies.
Regulatory Reconstruction of the Application of Digital Evidence in Realizing Children's Rights (Study of the Directory of Decisions of the Supreme Court of the Republic of Indonesia) Libra, Robert; Okfalisa, Okfalisa; Aslati, Aslati
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 23 No. 2 (2024): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pj.v23i3.5170

Abstract

The development of technology continues and develops in accordance with the times. The use of technology is also carried out to the context of daily life so that life becomes more practical. Then, this context is also very close to the use of technology in the judicial process through the e-court system. This is what makes Constitutional Court Decision Number 46/PUU-VIII/2010 concerning the Examination of Article 43 paragraph (1) of Law Number 1 Year 1974 concerning Marriage appear and change the paradigm of proof from the determination of children outside marriage can be done by using technology in the form of DNA tests. In this case, electronic evidence or digital evidence can be strong evidence to recognize the father's nasab position over the child. The research method used in this research is Normative Juridical with a statutory approach and a case approach. The results and discussion of this study found that it turns out that the application of digital evidence can realize children's rights when looking at several existing decisions. Of the 10 (ten) decisions and/or court decisions that have been reviewed, all of them use digitized evidence and make the judge's view more objective, resulting in a decision that recognizes the father's lineage to the child. The context of this recognition is the essence that the concept of child recognition makes his rights fulfilled and the father cannot deny that the child is his own child. In addition, DNA evidence, CCTV and photos and videos exist to strengthen the position of the father's lineage to a child whose father previously did not recognize his own child. Regulatory reconstruction in the application of digital evidence to realize children's rights is carried out by changing the provisions of the Religious Courts Law and the Marriage Law in terms of strengthening the position of children's rights.