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All Journal JURNAL INTEGRASI Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Dodi Prima Resda
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering Other

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Journal : JURNAL INTEGRASI

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Pemetaan Kedalaman Laut Menggunakan Multibeam Echosounder, (MB1) di Perairan Punggur, Kepri Dodi Prima Resda; Muhammad Zainuddin Lubis; Dirgan Timbang
JURNAL INTEGRASI Vol 13 No 1 (2021): Jurnal Integrasi - April 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v13i1.3042

Abstract

This research was conducted in April 2018 at Punggur waters. The methods used were bathymetric and tidal survey which aimed at obtaining depth and position information in Punggur waters which play a role in supporting activities around Punggur waters. This research was done by performing generalization using the Multibeam Echosounder (MBES) System instrument. Tides know the dynamics or changes in sea level. Thus, a bathymetric and tidal survey are carried out simultaneously namely the tides in the bathymetry survey activities aiming as a reference depth field to determine the kind/type of tide and the height of sea level average MSL (Mean Sea Level) as a reference point (zero points) for elevation measurements. It is known that the Formzahl value is 1.35 so that the tide type in the waters around the port is mixed mainly diurnal tides. The corrected bathymetry measurement results with an MSL value of 1.35 meters which results in an accuracy of the depth value. This indicates that there is a change in the depth value in Punggur waters, Batam. The results showed that the depth value in Punggur waters ranged from 16 to 25 meters below sea level so that the depth or bathymetry value in these waters was not included in the continental shelf area, which explains the presence of sloping topography values. Keywords: Bathymetry, Punggur waters, tides, Multibeam Echosounder (MBES)
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 Agung Riyadi Ahmad Hamim THohari Andy Triwinarko Arif Roziqin Arista Sitanggang Bintang Budhiman condra antoni Danar Irianto Destia Larasasti Tobing Dicki Prayogi Dirgan Timbang Dwi Ely Kurniawan Farouki Dinda Rassarandi Finkye Priya Gunadi Hamdani Arif Heru Wijanarko Jhon Hericson Purba Luthfiya Ratna Sari Maidel Fani Mira Chandra Kirana Miranda Miranda Muchammad Fajri Amirul Nashrullah Muhammad Ghazali Muhammad Nashrullah Muhammad Zainuddin Lubis Nelmiawati Nelmiawati Nur Cahyono Kushardianto Oktavianto Gustin Rahman Hakim Rina Yulius Rizki Irianto Rizki Widi Pratama Rizky Pratama Hudhajanto Rizwan Bin Khamis Rokhayati, Yeni Sandi Prasetyaningsih Siti Noor Chayati Sudra Irawan Supardianto Supardianto Swono Sibagariang Uuf Brajawidagda Wenang Anurogo Widya Rika Puspita