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PERANCANGAN SISTEM INFORMASI E-MARKETPLACE EVENT ONLINE UNTUK MENINGKATKAN PEMASARAN DIGITAL BERBASIS MOBILE Norma Ningsih; Aprianto; Onastatia Sahartian
Jurnal Informatika Teknologi dan Sains Vol 5 No 1 (2023): EDISI 15
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.605 KB) | DOI: 10.51401/jinteks.v5i1.2247

Abstract

An event is an activity carried out to celebrate a certain moment, whether it is held in public or private. In recent years, Events have been used as a business object and already have a sizeable market. Online events are expected to continue to be a trend that will develop in the future. However, on the other hand, there are still problems faced by both the organizers and the general public, namely difficulties in disseminating and obtaining information related to an event and coordination of ticket sales that has not been maximized. The purpose of this research is to provide an information system solution for organizing an online event in the form of designing a marketplace information system that can be used as a forum for all events spread across various platforms to be centralized into one platform. The information system design method used is the waterfall method with the concept of gamification to maintain and increase user loyalty. The results of this study are in the form of an information system design that can handle event sales and purchase transactions in which users and event organizers can be connected to each other.
Pendekatan Data Science untuk Deteksi Dini Diabetes Menggunakan Naive Bayes Classifier Norma Ningsih; Aprianto; Angeline
Journal of Information System,Graphics, Hospitality and Technology Vol. 5 No. 1 (2023): Journal of Information System, Graphics, Hospitality and Technology
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37823/insight.v5i1.300

Abstract

Diabetes merupakan penyakit yang memiliki gejala dimana kadar gula darah berada diatas normal yang disebabkan karena kurangnya insulin dalam darah seseorang. Umumnya diabetes disebabkan karena adanya gangguan metabolisme dalam tubuh selama periode yang cukup lama. Diabetes merupakan penyakit yang berbahaya dengan jumlah penderita yang terus meningkat setiap tahun. Hal ini disebabkan karena kurangnya kesadaran pola hidup sehat dan deteksi dini penyakit yang sering tertunda. Penelitian ini membuat sistem klasifikasi yang dapat melakukan pendeteksian dini terhadap penyakit diabetes. Metode yang digunakan adalah naïve bayes classifier dengan Laplacian smoothing. Penelitian ini menggunakan 100 data dari data random, data tersebut dibagi menjadi 80% data latih dan 20% data uji. Berdasarkan hasil pengujian menggunakan confusion matrix diperoleh nilai ukuran testing set yang digunakan adalah 40% testing set dan sisanya 60% sebagai training set merupakan hasil yang paling ideal. Dari pembagian dataset tersebut diperoleh nilai akurasi sebesar 70%.