Jurnal Informatika Software dan Network (JISN)

A Utilization of Convolutional Neural Network (CNN) Method with MobileNetV2 Architecture for Home Feasibility Assessment

2024-06-21T09:57:39+00:00

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.

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URL prediction, Random Forest Malicious URL Prediction Using Classification Approach with Random Forest and LightGBM Algorithms

2024-06-23T20:49:40+00:00

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

2025-01-08T05:52:12+00:00

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.