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All Journal Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika International Journal of Remote Sensing and Earth Sciences (IJReSES) The Indonesian Journal of Computer Science
I Wayan Sriyasa
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering

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FISH SCHOOL IDENTIFICATION IN THE BALI STRAIT USING ACOUSTIC DESCRIPTOR AND ARTIFICIAL NEURAL NETWORKS TECHNIQUES INDRA JAYA; WAYAN SRIYASA
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 1,No. 1(2004)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (192.374 KB) | DOI: 10.30536/j.ijreses.2004.v1.a1327

Abstract

Accurate fish school identification is one of the crucial pieces of information for fish stock assessment. The fish stock assessment, in turn, is used as a basis for fisheries management action plan. In this paper, we discuss the development and application of acoustic descriptor (AD) and artificial neural networks (ANN) technique for fish school identification. Data (echogram) was obtained from the acoustic survey conducted in November 2000 in the Bali Strait, using SIMRAD EK500 split-beam acoustic system. In this preliminary study, the usage of AD is confined to the geometrical properties (area, perimeter, height, length, elongation, circularity, rectangular, and fractal dimension) of the echogram or acoustic backscattering images, while the ANN used back-propagation technique and a sigmoid activation function to transform the input to output. The results show that the accuracy of identifying fish school for various ANN learning rate value is about 73.3%. We observed that the school of Lemuru Sardinella lemuru, which is dominant in the Strait of Bali during the time of the survey, takes elongated geometrical formation and occupied particular water depth. Future study will incorporate the more complete set of AD, for example by employing the energetic dimension, to improve the accuracy of the school identification. Keywords: school identification, acoustic descriptor, artificial neural networks
The Role of E-Money in Sustainable Smart City Development in Bogor City Area Gustian Rama Putra; Wahyu Sardjono; Oktavian Nursetiaji; Agita Tiara Putri; Asep Saepulrohman; I Wayan Sriyasa
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5674

Abstract

In the current era of society 5.0, especially in industry 4.0, the use of information systems is very important where in this era the community is expected to help the development of smart cities. In this era, people always carry out activities with technology and digitalization, one of which is how to transact that transforms electronically with technology. Currently, e-money is considered to have its own role in the sustainability of community activities, especially in the city of Bogor, so that if the role of e-money can be utilized, a positive value can be generated for the sustainability of smart city development. To assess the success of the role of e-money, this research instrument was built using the DeLone and McLean methods in building a research model that aims to support the development of smart cities with aspects of indicators such as information quality, system quality, service quality, user satisfaction level, utilizing and net benefit. The research method used in this study is factor analysis to process the data obtained from the questionnaire. The Alpha Cronbach value in this study has a value of 0.971 or 97.1%, so it can be concluded that the positive influence of e-money is very large to support the development of smart cities in Bogor City. This research is expected to provide information related to the sustainable development of smart cities in Bogor City.
Analisis Keamanan Web Menggunakan Open Web Application Security Web (OWASP) Victor Ilyas Sugara; I Wayan Sriyasa
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3736

Abstract

Aplikasi web telah menjadi bagian integral dari kehidupan sehari-hari, memberikan layanan yang diperlukan untuk berkomunikasi, berbelanja, bertransaksi, dan berbagai aktivitas lainnya. Permasalahan yang muncul terkait keamanan web adalah ketidakmampuan sistem aplikasi untuk melindungi informasi sensitif dari ancaman siber. Top 10 OWASP adalah daftar yang diperbarui secara berkala yang memuat sepuluh kerentanan keamanan aplikasi web yang paling umum terjadi Level risiko yang bersifat medium memiliki confidence level yang sama, yakni 11.1%, dengan total level risiko Medium adalah 33.3%. Seluruh celah kemanan yang ditemukan hampir semuanya berkaitan dengan A05 Kesalahan Konfigurasi Keamanan & A06 Komponen yang Rentan dan Kedaluwarsa pada OWASP Top 10:2021.Rekomendasi perbaikan terhadap temuan sudah diberikan, dan diantaranya bersifat perbaikan didalam source code dan konfigurasi pada application server/web server yang diprioritaskan kepada temuan yang bersifat High, Medium dan Low.
Co-Authors Agita Tiara Putri Asep Saepulrohman Gustian Rama Putra INDRA JAYA Oktavian Nursetiaji Victor Ilyas Sugara Wahyu Sardjono