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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Thooriqoh, Hazna At
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Library & Information Science Social Sciences

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AUTOMATIC TESTING FRAMEWORK BASED ON SERENITY AND JENKINS AUTOMATED BUILD Sa'adah, Umi; Hasim, Jauari Akhmad Nur; Yunanto, Andhik Ampuh; Permatasari, Desy Intan; Hardiansyah, Fadilah Fahrul; Wulandari, Irma; Thooriqoh, Hazna At
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 19, No. 2, Juli 2021
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i2.a1017

Abstract

Software Testing plays an important role in making high quality products and the right time. The process of testing done manually is often inaccurate, unreliable, and needed more than automatic testing. This research proposes a new framework for automation testing. This framework will help developers to create applications with better quality and shorten testing time. This framework offers a solution for developers so that the testing process is carried out easily and quickly. Our proposed concept consists of an automated test script based on Serenity Framework and can be done as a background process using Jenkins. Input of the system is a testing scenario, then mapped into Java Programming Language. Output of this system are test reports that represent the scenario that has been carried out. the results of implementation system prove that developers are helped by this framework in the software testing process. So that in this study it can be concluded that the automated testing framework that has been developed can improve the quality of application products through effective and efficient work methods.
SELENIUM FRAMEWORK FOR WEB AUTOMATION TESTING: A SYSTEMATIC LITERATURE REVIEW Thooriqoh, Hazna At; Annisa, Tiara Nur; Yuhana, Umi Laili
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 19, No. 2, Juli 2021
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i2.a1021

Abstract

Software Testing plays a crucial role in making high-quality products. The process of manual testing is often inaccurate, unreliable, and needed more than automation testing. One of these tools, Selenium, is an open-source framework that used along with different programming languages: (python, ruby, java, PHP, c#, etc.) to automate the test cases of web applications. The purpose of this study is to summarize the research in the area of selenium automation testing to benefit the readers in designing and delivering automated software testing with Selenium. We conducted the standard systematic literature review method employing a manual search of 2408 papers, and applying a set of inclusion/exclusion criteria the final literature included 16 papers published between 2009 and 2020. The result is using Selenium as a UI for web automation, not only all of the app functionality that has been tested, But also it can be applied with added some method or other algorithms like data mining, artificial intelligence, and machine learning. Furthermore, it can be implemented for security testing. In the future research for selenium framework automation testing, the implementation should more focus on finding effective and maintainability on the application of Selenium in other methodologies and is applied with the better improvement that can be matched for web automation testing.
MALICIOUS TRAFFIC DETECTION IN DNS INFRASTRUCTURE USING DECISION TREE ALGORITHM Thooriqoh, Hazna At; Azzmi, M. Naufal; Tofan, Yoga Ari; Shiddiqi, Ary Mazharuddin
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 20, No. 1, January 2022
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i3.a1054

Abstract

Domain Name System (DNS) is an essential component in internet infrastructure to direct domains to IP addresses or conversely. Despite its important role in delivering internet services, attackers often use DNS as a bridge to breach a system. A DNS traffic analysis system is needed for early detection of attacks. However, the available security tools still have many shortcomings, for example broken authentication, sensitive data exposure, injection, etc. This research uses DNS analysis to develop anomaly-based techniques to detect malicious traffic on the DNS infrastructure. To do this, We look for network features that characterize DNS traffic. Features obtained will then be processed using the Decision Tree algorithm to classifyincoming DNS traffic. We experimented with 2.291.024 data traffic data matches the characteristics of BotNet and normal traffic. By dividing the data into 80% training and 20% testing data, our experimental results showed high detection aacuracy (96.36%) indicating the robustness of our method.
Rupiah Classification System using Segmented Fractal Texture Analysis and HSV Color Features Rakhmadi, Ardhon; Rahayu, Putri Nur; Thooriqoh, Hazna At; Mulyo, Budi Mukhamad
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.560

Abstract

The crime of forgery of rupiah currency can be anticipated by examining the rupiah banknotes based on traits or features contained on the original paper money. Features that are not owned by the rupiah banknote counterfeit is an ultraviolet sign that are owned by the original paper money. Rupiah banknotes feature extraction consists of a combination of color and texture feature extraction. The proposed method is the HSV color histogram for color feature extraction and Segmented Fractal Texture Analysis (SFTA) for texture feature extraction. The combination of HSV and SFTA is expected to improve the performance of rupiah banknotes feature extraction. Moreover this paper will analyze feature redundancy in Two Threshold Decomposition Algorithm in SFTA Algorithm. Experimental results show the proposed method can reach 100% accuracy. Experiment results also show that redundant features can be removed without affecting the accuracy of of the system so that it can reduce the computational cost.
Penerapan Sistem Enterprise Terintegrasi dalam Meningkatkan Distribusi B2B dan B2C di Kampung Durian Mumpuni, Retno; Thooriqoh, Hazna At; Tarigan, Puji L.; Rizki, Agung M.; Aditiawan, Firza P.
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember Fotcoming Issue
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.6893

Abstract

Usaha distribusi durian di Banyuwangi, khususnya "Dapur Durian," menghadapi tantangan dalam efisiensi rantai pasok dan akses pasar meskipun memiliki potensi besar. Produksi durian di Banyuwangi mencapai 14.754 ton per tahun, dengan karakteristik unik seperti daging tebal dan rasa manis legit. Kurangnya sistem yang terintegrasi untuk mengelola produksi dan distribusi secara efisien menjadi masalah utama, di mana pencatatan masa panen dan stok masih dilakukan secara konvensional. Hal ini menyebabkan potensi kesalahan dan keterlambatan dalam pengambilan keputusan. Selain itu, pemasaran dan distribusi masih mengandalkan metode tradisional, yang membatasi jangkauan pasar dan sering kali menyebabkan durian yang sudah matang terbuang karena tidak laku dalam 3-7 hari. Solusi yang ditawarkan adalah implementasi sistem enterprise terintegrasi, seperti Enterprise Resource Planning (ERP), yang dirancang khusus untuk distributor durian. Sistem ini akan mengintegrasikan manajemen produksi dan distribusi, serta meningkatkan akses pasar melalui digitalisasi pemasaran. Fitur-fitur utamanya meliputi otomatisasi pencatatan siklus panen, monitoring distribusi menggunakan teknologi GIS dan GPS, serta optimasi logistik. Untuk pemasaran, akan dikembangkan ekosistem digital berbasis Customer Relationship Management (CRM) dan e-commerce, termasuk platform digital untuk penjualan langsung, penerapan CRM untuk manajemen pelanggan, dan strategi digital marketing.
Co-Authors Aditiawan, Firza P. Andhik Ampuh Yunanto Annisa, Tiara Nur Ardhon Rakhmadi, Ardhon Ary Mazharuddin Shiddiqi Azzmi, M. Naufal Desy Intan Permatasari, Desy Intan Fadilah Fahrul Hardiansyah, Fadilah Fahrul Jauari Akhmad Nur Hasim Mulyo, Budi Mukhamad Rahayu, Putri Nur Retno Mumpuni Rizki, Agung M. Sa'adah, Umi Tarigan, Puji L. Tofan, Yoga Ari Wulandari, Irma Yuhana, Umi Laili