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Implementation of Neural Network Algorithms in Predicting Student Graduation Rates Iin Fiqha; Gomal Juni Yandris; Fitri Aini Nasution
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 1 (2021): Article Research Volume 6 Issue 1: January 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i1.11254

Abstract

Higher education institutions are required to be providers of quality education. One of the instruments used by the government to measure the quality of education providers is the number of graduates. The higher the graduation rate, the better the quality of education and this good quality will positively affect the accreditation value given by BAN-PT. Therefore, in this study, researchers provide input for research conducted at Bhayangkara University, Greater Jakarta to predict student graduation rates using the Neural Network algorithm. Neural Network is a method in machine learning developed from Multi Layer Perceptron (MLP) which is designed to process two-dimensional data. Neural Network is included in the type of Deep Neural Network because of the depth of the network level and is widely implemented in image data. Neural Network has two methods; namely classification using feedforward and learning stages using backpropagation. The way Neural Network works is similar to MLP but in Neural Network each neuron is represented in two dimensions, unlike MLP where each neuron is only one dimension. The prediction accuracy obtained is 98.27%. unlike MLP where each neuron is only one-dimensional. The prediction accuracy obtained is 98.27%. unlike MLP where each neuron is only one-dimensional. The prediction accuracy obtained is 98.27%.
SOSIALISASI PENTINGNYA APLIKASI ZOOM MEETING SAAT MASA PANDEMI DI IBAY KOMPUTER RANTAU PRAPAT Angga Putra Juledi; Sahat Parulian Sitorus; Dini Hariyati Adam; Elysa Rohayani Hasibuan; Rohani; Fitri Aini Nasution
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 1 No. 4: Juli 2021
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.459 KB) | DOI: 10.58369/jpmg.v1i4.47

Abstract

Pada masa pandemi seperti saat sekarang ini memberi dampak yang besar dan membuat banyak perubahan, bisa dilihat dari faktor kehidupan masyarakat. Saat ini pemerintah membuat peraturan kepada seluruh masyarakat untuk tidak melakukan aktifitas di luar rumah, dan mematuhi protokol kesehatan. Dalam hal ini bertujuan untuk memutus penyebaran virus Covid-19 yang sedang melanda negara Indonesia dan bahkan mendunia. Walaupun tidak bisa bertatap muka untuk melakukan kegiatan baik belajar maupun bekerja dengan adanya aplikasi zoom meeting maka semua masalah pada saat pandemi ini terselesaikan. Dengan adanya aplikasi zoom meeting maka pembelajaran bisa digunakan secara online atau daring. Aplikasi zoom meeting adalah sebuah layanan video conference yang digunakan untuk melakukan obrolan dengan memanfaatkan teknologi cloud computer dan keamanan 256-bit TLS encryption. Dengan aplikasi zoom meeting semua pengguna dapat saling terhubung dan melakukan aktifitas, baik di dunia kerja maupun sekolah seperti meeting, webinar, chatting, diskusi, pembelajaran online.
PEMANFAATAN TEKNOLOGI AUGMENTED REALLITY (AR) UNTUK MEMBANTU PROSES PEMBELAJARAN DI SD 03 BILAH BARAT Angga Putra Juledi; Marnis Nasution; Deci Irmayani; Fitri Aini Nasution; Syaiful Zuhri Harahap
JURNAL BIMA Vol 3 No 1 (2025): (Januari)
Publisher : PT.JNDI, JURNAL BIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of Augmented Reality (AR) in education can enhance students' understanding of concepts and increase their learning motivation. This study aims to implement AR in learning at SD 03 Bilah Barat through socialization and workshops. The results show that AR makes learning more interactive, helps students grasp abstract concepts more easily, and boosts motivation. However, challenges such as limited technology and teacher readiness remain obstacles. Based on the success indicators, this activity achieved its set targets. AR has great potential to improve learning quality, but further support is needed for its sustainability.