Sari Noorlima Yanti
Program Studi Teknik Informatika – Fakultas Teknologi Industri Universitas Gunadarma, Jl Margonda Raya No 100 Pondok Cina, Depok

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Journal : JISICOM (Journal of Information System, Infomatics and Computing)

PEMBUATAN APLIKASI MOBILE LEARNING INFORMASI PERTOLONGAN PASIEN POSITIF COVID-19 BERBASIS ANDROID Erni Rihyanti; Sari Noorlima Yanti
Journal of Information System, Informatics and Computing Vol 4 No 1 (2020): JISICOM : Volume 4, Nomor 1, Juni 2020
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1001.255 KB)

Abstract

Aplikasi Mobile Learning Pertolongan penderita covid-19 bertujuan memudahkan siapapun untuk mempelajari pengetahuan tentang Pertolongan Penderita covid-19. Aplikasi ini dapat digunakan menggunakan perangkat bergerak kapanpun dan dimanapun. Metode pembuatan aplikasi ini menggunakan metode studi pustaka melalui media informasi internet. Tahapan metode dimulai dengan tahap perencanaan, tahap analisis, tahap desain, penelitian coding program dan tahap implementasi. Proses pembahasan dikerjakan secara berurutan dimulai dari perancangan kemudian proses pembuatan sampai hasil akhir berupa aplikasi mobile learning pertolongan penderita Covid-19. Bentuk aplikasi ini dibuat dalam komponen–komponen kemudian dijabarkan secara detail setiap bagian. Aplikasi mobile learning pertolongan penderita Covid-19 dapat dijalankan dengan baik pada smartphone berbasis android berdasarkan beberapa tes menggunakan banyak perangkat bergerak seperti smartphone.
Expert System Application Detecting Child Personal Characteristics Using Forward Chaining Method Meti Nurhayati; Sari Noorlimayanti
Journal of Information System, Informatics and Computing Vol 6 No 1 (2022): JISICOM: June 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v6i1.794

Abstract

The growth and development of a child as the next generation of the nation is influenced by the family environment. Parents must be good nannies because they are the ones who shape their personality. Children in a family are born with different personalities but parents play a very important role in controlling children's behavior in life. Knowledge of parents about the characteristics and personality of children who are less likely to consult psychology. Good parents certainly try to direct children with the personality and characteristics of the child so that it does not become a problem in the future. Child delinquency is a form of character and personality that should be controlled for the better. These problems can be anticipated by seeking knowledge about the child's psychology. Based on this explanation, this research was carried out by developing an application of information on children's personality knowledge which can assist parents in monitoring children's development. This developed application contains an expert system where the results of the explanation are based on the knowledge of the experts. Development of expert system application development of child personality information using PHP and MySQL with forward chaining inference method. The developed application provides information on the symptoms the child has until it is known which group the characteristics belong to. How the forward chaining method works by processing interpretation, regulation, supervision and planning. Users enter answers based on questions collected from expert knowledge where the results of the calculation of user answers determine the personality group and characteristics of the child