cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Zaenal Bahtiar
Contact Email
lppm.dccpringsewu@gmail.com
Phone
+6282371871436
Journal Mail Official
dccpringsewujurnal@gmail.com
Editorial Address
AMIK Dian Cipta Cendikia Pringsewu Jl. Jendral Ahmad Yani No.134 Pringsewu 35373 Provinsi Lampung
Location
Kab. pringsewu,
Lampung
INDONESIA
Jurnal Informatika Software dan Network (JISN)
Published by AMIK Dian Cipta Cendikia Pringsewu
ISSN : 27466221     EISSN : 27743438     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
- Network and Security, - Computer network, - Mobile Application, - Software engineering, - Operating system, - E-Learning, - Game development, - Database Management, - Web applications, - Neural networks, - Parallel processing,
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 3 Documents
 1 
Search results for , issue "Vol. 5 No. 2 (2024): Jurnal Informatika Software dan Network (JISN)" : 3 Documents clear
A Pemanfaatan Metode Convolutional Neural Network (CNN) Dengan Arsitektur MobileNetV2 Untuk Penilaian Kelayakan Rumah: Indonesia Zidan, zidan9080
Jurnal Informatika Software dan Network (JISN) Vol. 5 No. 2 (2024): Jurnal Informatika Software dan Network (JISN)
Publisher : Jurnal Informatika Software dan Network (JISN) diterbitkan oleh Lembaga Penelitian AMIK Dian Cipta Cendikia Pringsewu

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

Abstract

In the era of digitalization, efforts to improve efficiency and accuracy in the process of assessing home eligibility for social assistance are becoming increasingly important. We plan to develop a convolutional neural network home eligibility assessment system to address this issue. Our system uses artificial intelligence technology to automatically analyze uploaded photos of houses and provide an eligibility assessment based on predefined criteria. The goal is to automate the assessment process, improve efficiency and accuracy, ensure social assistance is well-targeted, and reduce administrative workload. Through the implementation of this system, we hope to positively contribute to improving the effectiveness of social assistance programs and community development. The result of this research is a home eligibility assessment program that is expected to be implemented in the field in the future. Translated with DeepL.com (free version)
prediksi URL, Random Forest Prediksi URL Berbahaya Dengan Pendekatan Klasifikasi Menggunakan Algoritma Random Forest Dan LightGBM Sanjaya, I Wayan Indra Sakti Sanjaya; Oktavia Nur Khasanah; Eka Maurita; Anggraini Puspita Sari
Jurnal Informatika Software dan Network (JISN) Vol. 5 No. 2 (2024): Jurnal Informatika Software dan Network (JISN)
Publisher : Jurnal Informatika Software dan Network (JISN) diterbitkan oleh Lembaga Penelitian AMIK Dian Cipta Cendikia Pringsewu

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

Abstract

This study aims to develop a method for predicting malicious URLs using Random Forest and LightGBM algorithms. The dataset used in this research comprises 651.191 URLs categorized as benign, defacement, phishing, and malware. Key features such as URL length, number of directories, and URL abnormality are extracted and used to train the models. Evaluation results indicate that both algorithms have high accuracy in classifying URLs based on the provided features. The program allows users to input URLs for evaluation and provides predictions on the URL categories. The developed method is expected to enhance digital security by providing an effective prediction tool against malicious URL threats.
Jurnal PENGEMBANGAN APLIKASI ANDROID UNTUK PENERIMAAN MAHASISWA BARU DI INSTITUT BAKTI NUSANTARA PRINGSEWU: PENGEMBANGAN APLIKASI ANDROID UNTUK PENERIMAAN MAHASISWA BARU DI INSTITUT BAKTI NUSANTARA PRINGSEWU martin, afrizal martin; Mardiyanto, Mardiyanto; Widianto, Widianto
Jurnal Informatika Software dan Network (JISN) Vol. 5 No. 2 (2024): Jurnal Informatika Software dan Network (JISN)
Publisher : Jurnal Informatika Software dan Network (JISN) diterbitkan oleh Lembaga Penelitian AMIK Dian Cipta Cendikia Pringsewu

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

Abstract

Perkembangan teknologi digital di bidang pendidikan membawa dampak positif bagi Institut Bakti Nusantara (IBN) Pringsewu. Dalam konteks ini, pengembangan aplikasi penerimaan mahasiswa baru berbasis Android dianggap sebagai solusi yang efektif untuk mempermudah proses pendaftaran dan memberikan informasi kepada calon mahasiswa. Aplikasi ini diharapkan dapat meningkatkan standar pendidikan IBN dengan cara yang lebih mudah, sederhana, dan transparan. Selain itu, implementasi aplikasi ini dapat memperkuat reputasi IBN sebagai institusi pendidikan yang inovatif di era digital. Smartphone, khususnya yang menggunakan sistem operasi Android, menjadi perangkat penting dalam menjawab kebutuhan informasi masyarakat. Dengan memanfaatkan metode pengembangan perangkat lunak waterfall dan menggunakan alat bantu MySQL dan PHP, penelitian ini bertujuan untuk mengembangkan sistem informasi berbasis Android yang efisien untuk proses pendaftaran siswa baru di IBN. Rumusan masalah utama menyangkut perancangan dan pembangunan aplikasi, serta upaya merancang aplikasi yang efektif dan efisien untuk memenuhi kebutuhan IBN dalam hal Penerimaan Mahasiswa Baru.

Page 1 of 1 | Total Record : 3

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2024): Jurnal Informatika Software dan Network (JISN) Vol. 5 No. 1 (2024): Jurnal Informatika Software dan Network (JISN) Vol. 4 No. 2 (2023): Jurnal Informatika Software dan Network (JISN) Vol. 4 No. 1 (2023): Jurnal Informatika Software dan Network (JISN) Vol. 3 No. 2 (2022): Jurnal Informatika Software dan Network (JISN) Vol. 3 No. 1 (2022): Jurnal Informatika Software dan Network (JISN) Vol. 2 No. 2 (2021): Jurnal Informatika Software dan Network (JISN) Vol. 2 No. 1 (2021): Jurnal Informatika Software dan Network (JISN) Vol. 1 No. 1 (2020): Jurnal Informatika Software dan Network