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Klasifikasi Penyakit Skizofrenia menggunakan Algoritma Logistic Regresion Nisa, Khoirun; Wibisono, Sony Kartika
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.651

Abstract

The World Health Organization (WHO) reports that 20 million people worldwide are affected by this mental disorder. Therefore, it is necessary to develop an automated model to diagnose patients that can help doctors to start medical treatment early. This research aims to compare machine learning algorithms in the classification of schizophrenia, a mental condition that is often difficult to diagnose, this research is expected to help improve accuracy in the schizophrenia diagnosis process. The research approach involves applying a Logistic Regression model trained with medical and psychological data from schizophrenia patients. The developed model was then tested to evaluate its accuracy in detecting schizophrenia. The accuracy result obtained using the Logistic Regression model was 93.6%.
Pengenalan Teknologi Canva Upaya Meningkatkan Keterampilan Desain Grafis Pada SMA/Sederajat Kabupaten Banyumas Ardianto, Rian; Al-Hakim, Rosyid Ridlo; Jayusman, Hadi; Dewa, Bala Putra; Wibisono, Sony Kartika
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 1 No. 1 (2024): Agustus
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

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Abstract

The delivery of engaging, creative, and informative information is crucial to ensuring educational material is well understood by readers, particularly students in schools. The objective of this community service initiative is to foster creativity and encourage innovation in graphic design among equivalent high school students in Banyumas Regency. Training sessions on the use of the Canva application were conducted for high school students, utilizing practical demonstrations in the laboratory facilities of Universitas Harapan Bangsa, as part of the themed campus branding event known as CSC Fusion Camp organized by the Computer Science Club's Student Activity Unit. The training curriculum encompassed account creation, template utilization, and element arrangement for slide production as instructional support. Results from these activities indicated that participants successfully applied what they learned directly from the training modules. An evaluation was conducted through questionnaires assessing the usability of Canva, clarity of the materials, and perceived benefits by the participants. It is anticipated that this training will enhance students' insights and knowledge in delivering engaging and comprehensible learning materials tailored to their needs. Recommendations for future implementations include the necessity for advanced training sessions to enable students to maximize their application of the knowledge gained from this training.