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Journal : Applied Technology and Computing Science Journal

Perancangan Sistem Pakar untuk Penentuan Kesesuaian Jenis Palawija dan Kondisi Lahan Endang Sulistiyani
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 1 No 2 (2018): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v1i2.856

Abstract

Peningkatan kualitas dan kuantitas komoditas pertanian dapat dilakukan dengan menghindari ketidaksesuaian pengolahan lahan dengan karakteristik lahan. Akan tetapi, tidak jarang petani mengalamai kesulitan dalam menentukan kesesuaian lahan. Hal ini dikarenakan pengetahuan dan pemahaman petani terkait karakteristik lahan yang akan diolah dan jenis tanaman yang ditanam masih kurang dan data yang benar terkait karakteristik lahan sulit diperoleh. Oleh karena itu dibutuhkan sistem pakar. Sistem dikembangkan dalam tiga langkah. Pertama, penggalian kebutuhan sistem pakar, kedua pembangunan sistem, dan terakhir pengujian sistem. Terdapat 5 faktor terkait karakteristik lahan, yaitu ketinggian tempat, temperatur udara, tekstur tanah, pH tanah, dan juga curah hujan untuk menentukan kesesuian jenis tanaman yang akan ditanam. Sistem ini memiliki 1080 aturan dengan 216 aturan untuk setiap tipe tanaman, dan 3 kemungkinan kesimpulan kesesuaian, yaitu sesuai, kurang sesuai, dan tidak sesuai. Hasil validasi untuk sistem ini berupa nilai rata-rata untuk masing-masing kategori yang menunjukkan bahwa responden setuju, baik terhadap fungsionalitas sistem bernilai 2,8. Keakuratan hasil kesimpulan yang dihasilkan oleh sistem bernilai 2,9 untuk hasil sesuai dengan kenyataan dan bernilai sebesar 3,0 untuk hasil membantu pengguna, serta untuk kepuasan dari responden untuk keseluruhan sistem pakar bernilai 2,9. Sementara untuk tampilan dari sistem pakar masih terlalu standar dan kurang menarik bernilai 2,6.
Enterprise Architecture Framework in Higher Education: Systematic Literature Review Nur Shabrina Meutia; Endang Sulistiyani; Rizqi Putri Nourma Budiarti; Rita Sari
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 2 (2022): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i2.3751

Abstract

The use of information and communication technology helps improve the quality of education and learning processes, research, libraries and information services, and university management. With the development of ICT, universities are one of the companies engaged in education, so that institutions and universities need an information system planning strategy. This study presents a detailed and extensive systematic literature review (SLR) to select studies that carry out the current application of Enterprise Architecture in higher education. The method used in this research is the incorporation of various systematic literature studies on previous studies related to research objectives. The results of this literature review reveal important aspects related to the use of enterprise architecture applications in higher education, such as the most popular frameworks used in higher education, examine the reasons and determine the criteria for using application-based frameworks, and why enterprise architecture frameworks are needed to implement in higher education.
Performance Comparison of Automated Website GUI Testing Tools: A Study of Selenium IDE, Katalon Studio, UI.Vision, and BugBug Rozi, Muhammad Javier Dafa; Sulistiyani, Endang; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Software testing consumes approximately 50% of development time and cost. One of the most commonly used testing activities is GUI testing, which is still frequently carried out manually. In manual testing, testers often repeat the same actions multiple times, increasing the risk of human error. In contrast, automated testing utilizes specialized tools to minimize these errors. Therefore, selecting the right tool and understanding its performance are crucial. Previous studies on automated testing generally focused only on implementing test objects without evaluating the actual performance quality of the tools used. There are many automated testing tools available that offer capture-and-replay features, such as Selenium, Katalon Studio, UI.Vision, and BugBug. This study compares the performance of these tools for website GUI testing using two parameters: execution time and encountered issues. A total of 21 test cases were designed and executed by the researcher. The execution results show that Katalon Studio, UI.Vision, and BugBug successfully completed all test cases as expected. However, Selenium failed to execute 5 test cases due to its inability to perform hover dropdown actions. In contrast, Katalon Studio, UI.Vision, and BugBug did not encounter issues during execution. In terms of test execution time, Katalon Studio recorded the fastest average time at 6.15 seconds, followed by Selenium. UI.Vision and BugBug required longer execution times, with average times of 20.85 seconds and 22.8 seconds respectively.
Integration of ITIL V3, COBIT 5, and Service Desk Standards in IT Service Desk Design Alfadina, Afni Virda; Sulistiyani, Endang; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Software testing is a critical phase in the software development life cycle, consuming more than 50% of the total time and resources. One important activity within this phase is the creation of test cases, which can be problematic, particularly when done manually, due to the significant time and resources required. To address this, test case generation can be automated using two main approaches: based on program code or design models. Generating test cases at the design level using UML has been shown to be more time- and cost-efficient than generating them from code. Previous studies have focused on creating test cases using a single UML diagram or a combination of two UML diagrams, producing satisfactory results but with limitations in covering all possible execution paths of the software. To overcome these limitations, this study proposes a combination of three UML diagrams such as activity diagrams, sequence diagrams, and state diagrams using the Depth-First Search (DFS) algorithm. The proposed approach involves three major stages: preparation, execution, and evaluation. By combining these three UML diagrams, it is expected that the method will generate the maximum number of test cases, ensuring comprehensive coverage of all software paths with minimal issues.