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All Journal CESS (Journal of Computer Engineering, System and Science) JOIV : International Journal on Informatics Visualization JURNAL REKAYASA TEKNOLOGI INFORMASI IJISTECH (International Journal Of Information System & Technology) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) IJAIT (International Journal of Applied Information Technology) Journal of Appropriate Technology for Community Services Jurnal Teknik Informatika (JUTIF) IJISTECH Jurnal Pendidikan dan Pengabdian Masyarakat
Euis Nur Fitriani Dewi
Universitas Siliwangi
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Other

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Journal : CESS (Journal of Computer Engineering, System and Science)

 1 
Decision Tree and K-Nearest Neighbor (K-NN) Algorithm Based on Particle Swarm Optimization (PSO) for Diabetes Mellitus Prediction Accuracy Analysis Andi Nur Rachman; Supratman Supratman; Euis Nur Fitriani Dewi
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.34245

Abstract

Penyakit Diabetes Mellitus merupakan penyakit tidak menular, tetapi penyakit ini  merupakan salah satu penyakit yang mematikan bagi yang mengidapnya. Penyakit ini disebabkan oleh beberapa factor diantaranya pola makan hidup yang tidak teratur atau berlebihan. Apabila penyakit ini tidak dihentikan, maka penderita penyakit Diabetes Mellitus akan semakin memakan para pasien penderita penyakit ini. Menurut WHO atau World Health Organization, sekitar 425 juta orang menderita penyakit diabetes, kemudian 1,6 juta kematian setiap tahunnya di akibatkan oleh penyakit diabetes. Kemudian, pada tahun 2016 di Indonesia, kematian yang disebabkan oleh penyakit diabetes sekitar 99 ribu jiwa. Penyakit diabetes pada tahun ke tahun semakin meningkat, jadi perlu adanya sebuah sistem yang dapat membantu medis untuk melakukan klasifikasi terhadap diabetes berdasarkan data kesehatan pasien. Salah satu metode yang dapat digunakan untuk memprediksi penyakit diabetes mellitus adalah dengan menggunakan data mining. Data mining merupakan suatu proses yang interaktif untuk memprediksi penyakit diabetes mellitus. Prediksi untuk mendiagnosis penyakit ini menggunakan seleksi fitur berbasis Particle Swarm Optimization (PSO) pada dataset Kaggle.com. Dan metode klasifikasi yang digunakan yaitu metode Decision Tree dan K-Nearest Neighbors (K-NN). Hasil dari penelitian ini menghasilkan nilai akurasi tertinggi sebanyak 79.8% dengan AUC 0.71 dengan menggunakan metode Decision Tree, dan untuk menggunakan optimasi metode K-Nearest Neighbors (K-NN) menggunakan Particle Swarm Optimization (PSO) memiliki nilai akurasi tertinggi sebanyak 77.09%.
Application of Point Tracking Technology in 360 Degree Panorama Virtual Tour Applications for Introduction to Siliwangi University Campus Muhammad Adi Khairul Anshary; Cecep Muhamad Sidik Ramdani; Euis Nur Fitriani Dewi; Andi Nur Rahman; Rezi Syahriszani
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 1 (2023): January 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i1.39363

Abstract

Most of the campus area introduction media use brochures to provide information to prospective students. This media among teenagers is no longer attractive. Most prospective students prefer information through multimedia such as short videos. Due to the limited time of video media, very little content is provided so that delivery will be very less. The use of Virtual Tour 360 multimedia technology will help to provide clear information in the form of text and the application of Point tracking technology will make it easier for users to feel like they are in a campus environment. The methodology used in making this application is the Luther-Sutopo version of the Multimedia Development Life Cycle (MDLC). The 360 Degree Panorama Virtual Tour Application Introduction to the Siliwangi University Campus is expected to make it easier to convey information that can be easily accepted by users. This application can see a real environment simulation on the Siliwangi University campus by representing information in the form of 360° panoramic images making it easy to display information visually. The test results obtained from the alpha test of the application of Point tracking can make it easier for users to run the application and the beta test results that the application functions very well get a score of 83.75%. 
Application of Virtual Assistant in Information System for Student Practicum Case Study Laboratory Informatics Department Siliwangi University Cecep Muhamad Sidik Ramdani; Andi Nur Rachman; Euis Nur Fitriani Dewi
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 1 (2023): January 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i1.39365

Abstract

Practical activities are carried out in an orderly and timely manner and require systematic recording of activities. The implementation of practicum activities takes place in the Siliwangi University laboratory, to create conducive conditions for practicum activities, a system must be able to support academic success. Not only that, due to the COVID-19 pandemic, previous practicum lectures were held offline and campus policy required online learning. These problems can be overcome by building a logbook information system that can record and keep records of laboratory activities automatically. This information system was created using the Extreme Programming system development method. Starting from database design, system design with UML, system development with Visual Studio. NET 2021. This technology can be used by universities for practical activities at the Siliwangi University Laboratory. The application will remind students to complete each activity in each session by displaying notifications in each practicum schedule, rewards, announcements, and other information related to practicum activities. All activities must be recorded in the application. Based on the results of black box testing, the system can run according to the system test design that the response from each student to the application used is 75.68% which can be concluded that the application of virtual assistant is in the interesting category.  
Design of an Integrated Medical Record Information System at Puskesmas Kota Banjar Rahmi Nur Shofa; Andi Nur Rachman; Cecep Muhamad Sidik Ramdani; Euis Nur Fitriani Dewi
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 2 (2023): July 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i2.48269

Abstract

Perkembangan pemanfaatan ilmu pengetahuan dan teknologi memberikan dampak yang dapat digunakan diberbagai bidang salah satunya Puskesmas. Salah satu pengembangan yang dilakukan puskesmas yaitu mengembangkan untuk meningkatkan kualitas manajemen pelayanan kesehatan dengan menerapkan sistem informasi puskesmas berbasis teknologi informasi. Pencatatan apabila dilakukan dengan cara ditulis pada buku pasien merupakan cara lama yang digunakan. Maka perlu adanya suatu sistem yang membantu untuk memudahkan pencatatan. Metode pengembangan pada sistem informasi yang akan di ajukan ini yaitu dengan metode Waterfall. Menghasilkan Sistem Informasi Rekam Medis yang terintegrasi untuk mempermudah pihak Puskesmas di daerah Kota Banjar dalam mengolah data jika terdapat pasien yang sebelumnya belum pernah mengunjungi puskesmas tersebut maka akan terdapat Rekam Medis. Sistem Informasi mempermudah dalam mengelola data Rekam Medis sehingga tidak perlu mencari catatan yang begitu banyak dikarenakan data nya sudah tersimpan dalam database. Sistem Informasi Rekam Medis terintegrasi maka data pasien akan terlihat di semua Puskesmas yang ada di Kota Banjar.   Pengujian dalam penelitian dilakukan dengan tahapan metode System Usability Scale (SUS) mendapat nilai akhir yaitu 73,1 dan Hasil pengujian menghasilkan nilai rekomendasi dalam kategori Acceptable.The development of the use of science and technology has an impact that can be used in various fields, one of which is the Puskesmas. One of the developments carried out by the puskesmas is developing to improve the quality of health service management by implementing an information technology-based puskesmas information system. Recording when it is done by writing it in the patient book is the old way used. So, it is necessary to have a system that helps to facilitate recording. The development method for the information system that will be proposed is the Waterfall method. Producing an integrated Medical Record Information System to make it easier for the Puskesmas in the Banjar City area to process data. If there are patients who have never visited the puskesmas before, there will be Medical Records. The Information System makes it easy to manage Medical Record data so there is no need to search for so many records because the data is already stored in the database. The Medical Record Information System is integrated so that patient data will be visible in all Community Health Centers in Banjar City. Testing in the study was carried out using the System Usability Scale (SUS) method, obtaining a final score of 73.1 and the test results yielded a recommendation value in the Acceptable category.  
Co-Authors Aldy Putra Aldya Andi Nur Rachman Andi Nur Rachman Andi Nur Rachman Andi Nur Rachman Andi Nur Rachman Andi Nur Rachman Andi Nur Rahman Ara Ramdani Arif Muhamad Nurdin Arif Muhamad Nurdin Astri Srigustini Cecep Muhamad Sidik Ramdani Fera Sulastri Gilang Saeful Anwar Heni Sulastri Husni Mubarok Husni Mubarok Mitha Maharani Muhammad Adi Khairul Anshary Purwayoga, Vega Rahmi Nur Shofa Rama Edwinda Putra Reynaldi Akbar Maulana Rezi Syahriszani Supratman Supratman Visi Tinta Manik Zakwan Gusnadi