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All Journal Jurnal Informatika Jurnal Komputasi Innovation in Research of Informatics (INNOVATICS)
Astria Hijriani, Astria
University of Lampung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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PEMETAAN PENYEBARAN DAN PREDIKSI JUMLAH PENDUDUK MENGGUNAKAN MODEL GEOMETRIK DI WILAYAH BANDAR LAMPUNG BERBASIS WEB-GIS Rahayu, Yuni; Muludi, Kurnia; Hijriani, Astria
Jurnal Komputasi Vol 4, No 1 (2016)
Publisher : Jurnal Komputasi

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Abstract

Population distribution patern is one of Bandar Lampung government concerns. This information is useful for goverment decision making for specific local development.The prediction of population number using certain model is predicted will be useful for Bandar Lampung development plan.  Information about distribution and prediction of resident population in Bandar Lampung are processed manually and limitedly presented in form of tables and graphs. The purpose of this research is to build Bandar Lampung web based Geographic Information System that predict population distribution and mapping using Geometric Model. Data in this research were obtained from Statistics Of Bandar Lampung Municipality Publication. This system was implemented by using QGIS, GeoServer, PostgreSQL and PHP programming language. Overall,the testing results show that the system is appropriate and functional.Keywords: Geographic information system, Geometric Model, Mapping population.
PENGEMBANGAN SISTEM INFORMASI STUDENT RESEARCH CENTER DI PERGURUAN TINGGI DARMAJAYA Karnila, Sri; Hijriani, Astria
Jurnal Informatika Vol 8, No 1 (2008): Jurnal Informatika
Publisher : IIB Darmajaya

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Abstract

Aktifitas penelitian mahasiswa dapat dijadikan sebagai tolak ukur keberhasilan dan mutu pendidikan di perguruan tinggi tersebut. Dengan berkembangnya ilmu pengetahuan maka perlu berkembang dan bervariasinya tema penelitian, sehingga tidak monoton pada masalah tertentu saja. Banyaknya jumlah mahasiswa yang mengajukan judul tugas akhir, skripsi dan laporan praktik membuka peluang data yang serupa, penjiplakan laporan tugas akhir, skripsi dan laporan kerja praktik serta kesulitan dalam menentukan pembimbing yang sesuai. Sistem informasi ini berusaha meminimalkan data yang serupa, mempercepat pengecekan data dan memudahkan jurusan serta mahasiswa dalam pengajuan judul tugas akhir, skripsi dan laporan kerja praktik.Keyword : Sistem Informasi, Student Research Center
Perancangan Application Programming Interface (API) Berbasis Web Menggunakan Gaya Arsitektur Representational State Transfer (REST) Untuk Pengembangan Sistem Informasi Administrasi Pasien Klinik Perawatan Kulit Pranata, Beni Adi; Hijriani, Astria; Junaidi, Akmal
Jurnal Komputasi Vol 6, No 1 (2018)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v6i1.1554

Abstract

Application Programming Interface (API) is an interface built by system developer so some or entire functions of the system can programatically be accessed. Representational State Transfer (REST) is one of API development architectural style that uses Hypertext Transfer Protocol (HTTP) for data communication. This research implemented REST in developing API as the back-end of the skincare clinic patient information system. API was developed using Javascript Object Notation (JSON) as the standard format for data communication and JSON Web Token (JWT) as user authentication code. This research indicates that the development of API successfully performed on the patient administration of skin care clinic and implementation of REST makes it easy to develop API structures. This research produced REST API-based back-end for the patient administration information system of skin care clinic. API was tested in three stages: JWT testing on multiple back-end servers, API testing with Equivalence Partitioning and system functional testing. Keywords: application programming interface (api), hypertext transfer protocol (http), javascript object notation (json), json web token (jwt), representational state transfer (rest).
IMPLEMENTASI METODE MARKET BASKET ANALYSIS (MBA) PADA APLIKASI E-COMMERCE STUDI KASUS ANANDA SHOP Saraswati, Rita; Hijriani, Astria; Febriansyah, Febi Eka
Jurnal Komputasi Vol 4, No 2 (2016)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v4i2.1227

Abstract

This research is designing The Implementation of Market Basket Analysis (MBA) Method on E-Commerce Application as one way to expand and help the selling on Ananda shop.  In this Implementation, Market Basket Analysis Method (MBA) was used to determine which product will be bought by customers in one time through analysis of customers’ transaction list. This E-Commerce Application gives suggestion on related product match to product that has been chosen by a customer, so customer can easily see the product and bought it. This system was built using PHP and MySQL language. The result of functional data testing based on test case showed that this system can work “properly” to its purpose.
Cyber Threat Detection Using an Ensemble Model Approach for Phishing Website Identification Rofianto, Dani; Safitri, Egi; Amaliah, Khusnatul; Fitra, Jaka; Hijriani, Astria
Innovation in Research of Informatics (Innovatics) Vol 6, No 2 (2024): September 2024
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v6i2.12530

Abstract

The development of digital technology has had a significant impact on various aspects of life, including an increase in cybersecurity threats, especially phishing attacks. Phishing is a method of cyber fraud that manipulates victims to provide sensitive information by posing as a trusted entity. This research aims to develop and evaluate the effectiveness of several machine learning algorithms in detecting phishing websites. The methods used in this research include the application of Random Forest, Extra Trees, Multiple Layer Perceptron, Ada Boost, and Decision Tree algorithms on website datasets containing the characteristics of phishing and non-phishing sites. Performance evaluation is performed by measuring the accuracy, precision, recall, and F1 value of each algorithm. In addition, a voting technique is applied to combine the results of the best-performing algorithms with the aim of improving the overall detection accuracy. The results showed that the voting technique was able to provide superior results compared to the use of a single algorithm, with significant improvements in accuracy and recall values. These findings reinforce the importance of ensemble approaches in machine learning to improve phishing detection capabilities, which in turn contributes to improved cybersecurity.
Co-Authors Adi Pribadi, Raden Irwan Akmal Junaidi Amaliah, Khusnatul Andrian, Rico Dani Rofianto febi eka febriansyah, febi eka Fitra, Jaka Kurnia Muludi Pranata, Beni Adi Safitri, Egi Safitri, Jannati Asri Saraswati, Rita Sri Karnila Yuni Rahayu, Yuni