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All Journal Jurnal INKOM JSI: Jurnal Sistem Informasi (E-Journal) BACA: Jurnal Dokumentasi dan Informasi
Ekasari Nugraheni
P2Informatika-Lembaga Ilmu Pengetahuan Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Other

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Uji Ketahanan Metode Block-base Watermarking pada Domain Wavelet Terhadap Serangan Gaussian Blur dan Random Noise Ekasari Nugraheni
INKOM Journal Vol 5, No 2 (2011)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.inkom.156

Abstract

<!-- @page { margin: 2cm } P { margin-bottom: 0.21cm } --> Makalah ini mengkaji tentang ketahanan metode block-base watermarking pada domain wavelet dari Gaussian blur dan gangguan derau menggunakan Random noise. Metode ini menggunakan wavelet transform koefisien, dimana watermark akan ditanamkan pada blok berukuran 3x3. Koefisien wavelet dalam sebuah blok akan berubah secara acak untuk memasukkan muatan. Transformasi kebalikan dari gambar watermark mirip dengan watermark embedding. Skema watermarking ini tidak memerlukan citra asli untuk proses ekstraksi watermark (blind watermarking). Sebagai tolak ukur ketahanannya digunakan nilai PSNR (Peak Signal Noise Ratio) untuk menghitung rasio perbedaan antara gambar ber-watermark sebelum dan setelah mendapatkan serangan
Arsitektur Saas Pada Komputasi Awan ‘INKOM’ Wiwin Suwarningsih; Ekasari Nugraheni
Jurnal Sistem Informasi Vol 7, No 1 (2015)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.532 KB) | DOI: 10.36706/jsi.v7i1.1980

Abstract

Abstract Cloud computing is a technology that is needed at this time. Increasing information needs to be the foundation built a cloud-based applications. One application that we are developing now is an application that supports the field of e-government, and e-health. In this paper will explain the design of software architecture as one of the software as a services = SaaS. This architecture is built to facilitate the process of transforming information from standardized technology to cloud technology method used is the method of transition and transformation method where the concept of software development will be described UML notation. The final results are expected from this research is the development of a software architecture that will be stored in cloud computing. Keywords : cloud computing, SaaS architecture, the transformation of information, e-health, e-government. Abstrak Komputasi awan merupakan teknologi yang sangat dibutuhkan saat ini. Kebutuhan informasi yang semakin meningkat menjadi landasan dibangunnya suatu aplikasi yang berbasis awan. Salah satu aplikasi yang kami kembangkan saat ini adalah aplikasi yang mendukung dibidang pemerintahan (e-goverment) dan edukasi kesehatan (e-health). Pada tulisan ini akan dijelaskan perancangan arsitektur perangkat lunak sebagai salah satu bentuk layanan pada komputasi awan (software as a services = SaaS). Arsitektur ini dibangun untuk memudahkan proses transformasi informasi dari teknologi standar ke teknologi awan Metoda yang digunakan adalah metoda transisi dan metoda transformasi dimana konsep pengembangan perangkat lunak akan digambarkan menggunakan notasi UML. Hasil akhir yang diharapkan dari penelitian ini adalah sebuah arsitektur pembangunan perangkat lunak yang akan disimpan dalam komputasi awan. Kata kunci : komputasi awan, arsitektur SaaS, transformasi informasi, e-health, e-goverment.
Kumpulan data citra telepon pintar untuk identifikasi varietas cabai merah berbasis daun Suwarningsih, Wiwin; Evandri, Evandri; Kirana, Rinda; Purnomo Husnul Khotimah; Dianadewi Riswantini; Ekasari Nugraheni; Andri Fachrur Rozie; Andria Arisal; Devi Munandar; Noor Roufiq Ahmadi
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7786

Abstract

Chili plants played an important role in human life, serving as a source of income for farmers, as a provider of employment, and as a source of vitamins and minerals for the community. Market demand for red chili continued to increase, encouraging seed producers to provide quality plant seeds. The requirements for selecting plant varieties were based on market demand (taste, color, appearance, size, etc.), high productivity, resistance to plant pest attacks, and suitability for planting in local ecosystem conditions. Based on this, a smart approach was needed to identify plant varieties to maintain seed purity. To facilitate and streamline leaf-based chili variety identification, a comprehensive dataset was compiled. This dataset, consisting of 3877 leaf images divided into 12 variety classes, aimed to determine which plants were parent seeds or seeds that had deviations from their varieties. Leaf images were collected from the BALITSA garden through observations of leaf growth from shoots to 20 days of plant age. Various strict steps were taken to ensure the quality of the dataset and increase its usefulness. Chili leaf images taken from various angles and having high resolution were designed to assist in the development of highly accurate models. By leveraging this curated dataset, it was possible to train a model for real-time leaf-based identification of chili varieties, which significantly helped in the timely identification of such conditions.
Co-Authors Andri Fachrur Rozie Andria Arisal Devi Munandar Dianadewi Riswantini Evandri, Evandri Noor Roufiq Ahmadi Purnomo Husnul Khotimah Rinda Kirana Wiwin Suwarningsih Wiwin Suwarningsih