Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Proceeding of the Electrical Engineering Computer Science and Informatics IKRA-ITH Informatika : Jurnal Komputer dan Informatika
Eva Novianti
Universitas Darma Persada
Computer Science & IT Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Modified Backward Chaining Android Application to Diagnose Psychoneurosis and Psychosomatic Disorder Wibby Aldryani Astuti Praditasari; Eva Novianti; Ikhwannul Kholis; Rian Andriyusadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1946

Abstract

Stress, depression, mental illness are serious problems but the most often overlooked problems. Ironically, the number of mental problems is greater than health services. The purpose of this study is to develop a system consisting of Admin Webpage and Android Application which analyze mental illness with artificial intelligence that can diagnose and carry out therapy for people with mental disorders which has the types of psychoneurosis and psychosomatic disorders. This research used the methodology of Modified Backward Chaining which works backward towards the initial condition of the patient. Moreover, the system used the Expert System as reference data from the expert, in this case, psychologist. Results could be diagnosed via smartphone by a doctor or expert so they could provide faster and easier treatment in accordance with the application of this Psychological PPD (Psychoneurosis and Psychosomatic Disorders). Finally, the application was successfully implemented to give diagnoses and treatments. The system's ability to deal with mental illness was carried out at Raden Mataher General Hospital, Jambi, Indonesia. This study consisted of 21 respondents consisting of 13 men and 8 women. The result showed that the application was tested Usability Testing which had score 4.22 of 5.
Penerapan Algoritma Clustering Dalam Mengelompokkan Tingkat Pengangguran Pada Kelurahan Ujung Menteng Jakarta Timur Nur Syamsiyah; Herianto Herianto; Eva Novianti; Aji Pamungkas
ikraith-informatika Vol 6 No 2 (2022): IKRAITH-INFORMATIKA Vol 6 No 2 Juli 2022
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1612.917 KB)

Abstract

Sensus Penduduk merupakan program yang dilakukan langsung oleh Badan PusatStatistik. Langkah-langkah sensus penduduk ini adalah mengumpulkan, mengolah,mengevaluasi, menganalisa dan menerbitkan data-data ekonomi dan sosial dari setiaporang yang bermukim di Indonesia.Kelurahan Ujung Menteng melakukan sensus penduduk secara rutin dengan tujuanuntuk mengetahui perkembangan jumlah penduduk dari periode ke periode selanjutnya.Disamping itu untuk mengetahui persebaran dan kepadatan penduduk, serta untukmengetahui atribut sosial seperti riwayat pekerjaan penduduk Kelurahan Ujung MentengJakarta Timur.Namun pada saat pandemi cukup sulit melakukan pendataan langsung kepada warga,sedangkan laporan sensus kependudukan harus tetap dilakukan setiap minimal satu bulansekali. Sistem berbasis web diharapkan dapat mengatasi permasalahan tersebut agarkegiatan sensus penduduk tetap berjalan sebagaimana mestinya tanpa ada kendala apapun.
Co-Authors Aji Pamungkas Andriyusadi, Rian Bagus Tri Mahardika Herianto Herianto Ikhwannul Kholis Kholis, Ikhwannul Nur Syamsiyah Praditasari, Wibby Aldryani Astuti Rian Andriyusadi