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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pengabdian kepada Masyarakat Nusantara RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Information Technology (BIT) Prosiding Seminar Riset Mahasiswa Jurnal Software Engineering and Computational Intelligence Bulletin of Information System Research Jurnal UNIV.BI MENGABDI
Intan, Bunga
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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

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Penerapan Kriptografi Md5 Pada Sistem Informasi Penjualan Online Produk Cat Berbasis Web Darmawan, Muhammad Albani; Karman, Joni; Intan, Bunga
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6034

Abstract

PT Warna Agung in Palembang is a company engaged in selling paint products. Currently, the sales and marketing process at the company still uses conventional methods. In the digital era that continues to develop, this method is considered less efficient and risks leaving companies behind competitors who are already utilizing technology. In addition, managing sales data manually is often time-consuming and error-prone. Therefore, there is a need for innovation to increase efficiency and security in managing sales data. The main problem faced by PT Warna Agung is limitations in managing sales and marketing effectively in the digital era. In facing increasingly fierce competition, companies must be able to utilize technology to simplify business processes and reach more customers. In addition, data security in digital transactions is very important to protect sensitive company and customer information. The solution offered in this research is the development of a web-based online sales information system equipped with MD5 cryptography to secure data. This system is designed to make it easier to manage sales data digitally, expand the reach of online marketing, and increase the company's operational efficiency. The aim of this research is to provide technology-based solutions that are able to increase efficiency and safety in the product sales and marketing process. The result of this research is an online sales website that can manage data digitally and facilitate online marketing with enhanced security using MD5 cryptography, thereby supporting the sustainability of PT Warna Agung's business in the digital era.
Penerapan Recurrent Neural Network untuk Prediksi Kesehatan Sapi Berdasarkan Analisis Data Sensor Fisiologis Kurniawan, Riski; Santoso, Budi; Intan, Bunga
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7937

Abstract

Livestock health, particularly of cattle, is a crucial factor in the livestock industry as it directly affects productivity and animal welfare. However, health monitoring in the field is still largely conducted manually, leading to delays in early disease detection and increasing the risk of economic loss for farmers. This study aims to develop and evaluate a cattle health prediction model using a Recurrent Neural Network (RNN) approach based on physiological sensor data such as body temperature, heart rate, and physical activity. The data were collected in real time using Internet of Things (IoT) technology at a farm located in Tanah Periuk Village, Musi Rawas Regency. The results show that the developed RNN model achieved an accuracy of 98.88%, precision of 0.99, and recall of 0.99, indicating high performance in detecting potential cattle health issues. These findings are expected to provide a practical solution for farmers to support timely and accurate decision-making and improve overall livestock welfare.
Co-Authors Aktavera, Beni Alga, Jimmy Andri Anto Tri Susilo, Andri Anto Aprillian, Alif Armanto Armanto, Armanto Astuti, Endang Tri aviani, tri hasanah bimastari Basmansyah, Attaya Rifki Darmawan, Muhammad Albani Daulay, Nelly Khairaini Devi Purwanti, Devi Dwi Budi Santoso Elmayati, Elmayati Hendri Hariadi, Astrid Ayuzi Putri Hidayat, Asep Toyib Irawan, Davit Irvai, Muhammad Karman, Joni Kelpin, Yogi Lingga Wijaya, Harma Oktafia Maya Sari, Wisdalia Milenia, Aprilsa nansyah, Satria Nurdiansyah, Deni Palentina, Windia Palluvi, Khadisah Syah Riebhan Regina Regina Riski Kurniawan Rudi Kurniawan Rusdiyanto Rusdiyanto, Rusdiyanto Sari, Wisdalia Maya sobri, ahmad Syaada, Nadyari Wulandari, Cindi