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All Journal JURNAL INTEGRASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal of Applied Multimedia and Networking Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Maidel Fani
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Arts Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Other

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Journal : JURNAL INTEGRASI

 1 
Rancang Bangun Sistem Pengelolaan Barang Milik Negara Berbasis QR Code Ahmad Hamim THohari; Febrianto Hidayat; Maidel Fani; Nelmiawati Nelmiawati
JURNAL INTEGRASI Vol 14 No 1 (2022): Jurnal Integrasi - April 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i1.3975

Abstract

BMN has meaning of all assets acquired from APBN expenses or other legal acquisitions. Politeknik Negeri Batam is required to manage, use and maintain in order to get benefit from these assets. Utilization of technology is an absolute solution in this management. The current management system works conventionally whereby an inventory number is printed on a label in each item. A difficulty found when it uses to track and check for inventory during daily usage or maintenance. A BMN QR code-based system is proposed which consists of two applications, namely web and mobile. The application was developed using an iterative prototyping method in order to get speed and accuracy according to user needs. The mobile application uses to quickly access goods data by scanning the item code, while a web application with a QR Code generator used to manage item data and create a QR Code based on the code item. Mobile applications were developed using the Ionic Framework, while web applications were built with AngularJS. The application testing results show that all defined functionalities can function and meet user needs.
Aplikasi Penerapan Jaringan Syaraf Tiruan untuk Memprediksi Tingkat Pengangguran di Kota Batam dengan Menggunakan Algoritma Pembelajaran Backpropagation Dodi Prima Resda; Jhon Hericson Purba; Miranda Miranda; Arista Sitanggang; Maidel Fani; Andy Triwinarko
JURNAL INTEGRASI Vol 15 No 1 (2023): Jurnal Integrasi - April 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i1.6351

Abstract

The imbalance between labor supply and demand often leads to unemployment in a given region. The unemployment rate serves as a key indicator to assess the overall health of the economy. Utilizing Artificial Neural Networks (ANN) as a predictive tool has emerged as a reliable solution to forecast unemployment rates in Batam City, using 7 input parameters. The methodology employed in this predictive model is the Backpropagation algorithm. This involves dividing the dataset into two distinct components: training data, consisting of 4 parts, and the remaining data set aside for testing purposes. This division results in a substantial allocation of 95% for training data and a significant 79% for testing data. The accuracy achieved by this model forms the basis to evaluate its potential success in forecasting unemployment rates for the upcoming year. By harnessing the capabilities of Artificial Neural Networks and employing the Backpropagation methodology, it is possible to predict unemployment rates in Batam City. The outcomes of this analytical approach can serve as a reference to address labor imbalance issues, while also providing a pragmatic tool to enhance economic planning and policy formulation for a more sustainable future.
Co-Authors Adelia Khairunnisa Ahmad Hamim THohari Andy Triwinarko Arista Sitanggang Aziza Az Zahrawani Dodi Prima Resda Dwi Ely Kurniawan Febrianto Hidayat Finkye Priya Gunadi Hamdani Arif Heru Wijanarko Jhon Hericson Purba Mira Chandra Kirana Miranda Miranda Muchammad Fajri Amirul Nashrullah Muhammad Nashrullah Muhammad Zainuddin Lubis Nanda Putra Perkasa Nelmiawati Nelmiawati Nur Cahyono Kushardianto Rina Yulius Rizky Pratama Hudhajanto Uuf Brajawidagda yovan sakti