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All Journal SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Jurnal Publikasi Teknik Informatika (JUPTI)
Petrus Sianggian Purba
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Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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MENDETEKSI PENYAKIT PARKINSON DENGAN OPENCV, COMPUTER VISION, DAN SPIRAL / WAVE TEST Petrus Sianggian Purba; Afrizal Zein
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 32 No 2 (2022): Sainstech : Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37277/stch.v32i2.1303

Abstract

ABSTRACT Parkinson's disease is the second most common neurodegenerative disease in humans after Alzheimer's disease. The disorder causes patients to experience a variety of symptoms, including intellectual and behavioral disturbances, dementia, memory loss, muscle weakness, stiffness (slow and stiff movements), and tremors. This study describes how to detect Parkinson's disease using Open CV and how geometric images can be used to detect and predict Parkinson's. We will then examine our image dataset collected from both patients with and without Parkinson's. After reviewing the dataset, I will teach you how to use the HOG image descriptor to scale the input image and then how we can train the Random Forest classifier over the extracted features. The expected result is that the system can detect and predict Parkinson's disease from a patient with an accuracy rate above 90% Keywords: Parkinson's detection, HOG, OpenCV, Deep learning.
PERANCANGAN SISTEM INFORMASI RESERVASI & MAKANAN PADA RESTORAN MOJI GRILL & SUKI BERBASIS WEB MENGGUNAKAN METODE PENGEMBANGAN SCRUM Nurda, Alif Panglima; Petrus Sianggian Purba
Jurnal Publikasi Teknik Informatika Vol 1 No 3 (2022): September : Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1657.752 KB) | DOI: 10.55606/jupti.v1i3.607

Abstract

Web technology is one of the information technologies that has been widely used in the business aspect, which functions to provide information, process data, promote, record transactions, and others. In the business aspect, one of them is a restaurant which is a place to fulfill people's daily needs, so it is not uncommon for restaurants to be crowded with consumers, one of which is the Moji Grill & Suki restaurant. Currently, Moji Grill & Suki is still using the Whatsapp & Instagram application to receive reservations, as a result, they have difficulty managing reservations because many consumers order tables suddenly. Based on the above conditions, the authors are interested in designing a reservation information system for Moji Gril & Suki restaurants to make it easier to arrange & receive table reservations, and order menus, as well as make it easier for consumers to get information. regarding table availability before they make a reservation. In the process of developing a reservation information system based on this website, the author uses the Scrum development method, and uses the Unified Modelling Language (UML), and is implemented using the Javascript language, and the MySQL database.
Co-Authors Afrizal Zein Nurda, Alif Panglima