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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics REKAYASA Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Natural Sciences and Mathematics Research JOIV : International Journal on Informatics Visualization SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Dedicators Community EDUKATIF : JURNAL ILMU PENDIDIKAN IJIES (International Journal of Innovation in Enterprise System) Business and Finance Journal Applied Technology and Computing Science Journal Community Development Journal Child Education Journal Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Pendidikan Citra Bakti Jurnal Tecnoscienza Scientific Journal of Informatics Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Indonesia Berdaya Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Khaira Ummah: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Communautaire: Journal of Community Service National Conference for Ummah The Indonesian Journal of Computer Science Jurnal Ilmiah Pendidikan Citra Bakti
Budiarti, Rizqi Putri Nourma
Universitas Nahdlatul Ulama Surabaya
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Implementation of Black Box Testing and System Usability Scale on the Nurul Huda Financial Recording Information System Ramadan, Mohammad Noval; Ramadhani, Muhammad Azka Robith; Handayani, Chika Tunas; Sulistiyani, Endang; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.8365

Abstract

This study was conducted to evaluate the performance of the Nurul Huda Foundation’s financial recording information system using two assessment methods: Black Box Testing and usability measurement through the System Usability Scale (SUS). Black Box Testing was applied to ensure that all system features operate as intended, while usability testing was carried out to determine the level of comfort and ease experienced by users when interacting with the system. The results of the Black Box Testing indicate that out of 111 test scenarios, 89 passed successfully and 22 experienced minor failures that remain within acceptable improvement limits. Meanwhile, the usability testing involving 20 respondents produced an average SUS score of 84.5, demonstrating that the system meets the criteria of being user-friendly and positively received by users. Based on SUS interpretation guidelines by Bangor, this score falls into Grade A with an “Excellent” rating, is categorized as “Acceptable,” and is classified under the Net Promoter Score (NPS) group of “Promoter”.
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.
Implementation of Virtual Fiber Optic Module Using Virtual Reality for Vocational Telecommunications Students Sukaridhoto, Sritrusta; Fajrianti, Evianita Dewi; Haz, Amma Liesvarastranta; Budiarti, Rizqi Putri Nourma; Agustien, Lusiana
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1361

Abstract

Virtual Reality (VR) technology is a computer technology capable of replicating a real environment into an immersive world. VR is also capable of simulating the user's physical condition so that they are able to interact. In the world of education as a support for educational activities, especially for vocational high school students who are more dominant in practicum, this study aims to show the results of the early stages of implementing Fiber Optic (FO) learning support modules. The module development process is carried out in several stages: scenario preparation, 3D asset development with low poly optimization, scenario integration with 3D assets, triggering every interaction, multiuser settings, and implementation. To build a good VR Fiber Optic application, measurements using OVR metrics are carried out. This measurement aims to determine the reliability of the application that affects the user experience. In the OVR metric measurement, the highest FPS value is 43, and the lowest FPS value is 27. The value obtained is good enough to run VR applications with low poly asset composition. Measurement of the level of user satisfaction is also carried out by using the PIECES Framework. From the measurement results, the value of each variable is in the range of 3.4 - 4.91, which means that users are satisfied with the VR FO application as a virtual learning support module. This research shows that Virtual Reality technology can provide an overview of practicum that is easy to access and not limited by space and material.
Design of Audio-Based Accident and Crime Detection and Its Optimization Pratama, Afis Asryullah; Sukaridhoto, Sritrusta; Purnomo, Mauridhi Hery; Lystianingrum, Vita; Budiarti, Rizqi Putri Nourma
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1643

Abstract

The development of transportation technology is increasing every day; it impacts the number of transportation and their users. The increase positively impacts the economy's growth but also has a negative impact, such as accidents and crime on the highway. In 2018, the number of accidents in Indonesia reached 109,215 cases, with a death rate of 29,472 people, which was mostly caused by the late treatment of the casualties. On the other hand, in the same year, there were 8,423 mugs, and 90,757 snitches cases in Indonesia, with only 23.99% of cases reported. This low reporting rate is mostly caused by the lack of awareness and knowledge about where to report. Therefore, a quick response surveillance system is needed. In this study, an audio-based accident and crime detection system was built using a neural network. To improve the system's robustness, we enhance our dataset by mixing it with certain noises which likely to occur on the road. The system was tested with several parameters of segment duration, bandpass filter cut-off frequency, feature extraction, architecture, and threshold values to obtain optimal accuracy and performance. Based on the test, the best accuracy was obtained by convolutional neural network architecture using 200ms segment duration, 0.5 overlap ratio, 100Hz and 12000Hz as bandpass cut-off frequency, and a threshold value of 0.9. By using mentioned parameters, our system gives 93.337% accuracy. In the future, we hope to implement this system in a real environment.
Implementation SEMAR-IoT-Platform for Vehicle as a Mobile Sensor Network Panduman, Yohanes Yohanie Fridelin; Sukaridhoto, Sritrusta; Tjahjono, Anang; Budiarti, Rizqi Putri Nourma
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.425

Abstract

With the rapid development of IoT technology in various fields such as smart cities and industry 4.0, the need for wireless sensor network-based systems has increased, one of which is the concept of using a vehicle as a mobile sensor network or known as VaaMSN. Many developers use the IoT platform as a cloud computing service in developing the VaaMSN system. However, not all IoT platform service providers provide monitoring features on every device and provide information such as device location, purpose, condition. Therefore, this research aims to develop an IoT Platform that can receive data and provide information on each device, making it easier to process data and control devices.  Therefore, this research aims to develop an IoT platform called the SEMAR-IoT-Platform that able to received data and provide information on each device for easier data processing and control devices.  The SEMAR-IoT-Platform integrates Big Data, Data Analytics, Machine Learning, using the principles of Extract, Transfer, and Load (ETL) for data processing and provides communication services using HTTP-POST, MQTT, and NATS.  The test results show that the system has been successfully implemented to complement a simple IoT system with an average delay time of HTTP, NATS, and MQTT communications of less than 150ms for the data storage process, and for the data visualization process has an average delay time of less than 300ms.
Implementation of a Sales Dashboard Using Metabase for Attendance Analysis and Sales Payroll Systems (Case Study: PT. Fiyansa) Irwana, Galeh Ariya; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 2 (2025): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v8i2.8351

Abstract

In an effort to adopt digital technology, PT. Fiyansa has developed an Android application to monitor sales activities. However, the data generated by this application remains difficult to analyze regarding attendance and is insufficient for supporting decision-making. The primary factor causing this issue is the lack of adequate visualization. To address this problem, this research develops a dashboard to visualize attendance analysis and the payroll system. This dashboard generates visualizations categorized into three groups: attendance summary, sales performance analysis, and sales payroll. The attendance summary category consists of six visualizations, the sales performance analysis category comprises nine visualizations, and the sales payroll category includes three visualizations: payroll details, the three salespeople with the lowest salaries, and the three salespeople with the highest salaries. The results obtained from the dashboard analysis indicate that the level of sales salaries is significantly influenced by work attendance. This is evidenced by the analysis showing that salespeople with the highest salaries tend to have high attendance rates and a low frequency of lateness.
Implementation of Face Recognition-Based Personal Information Management System using Hikvision AI Cameras for UNUSA Community Wibowo, Nanda Dwi Cahyo; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 2 (2025): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v8i2.8621

Abstract

Personal Information Management (PIM) at the University of Nahdlatul Ulama Surabaya (UNUSA) continues to face challenges, particularly in managing attendance within the eSorogan system and the UNUSA Academic Information System (SIM). This study proposes and implements a face recognition-based PIM system designed to automate the identification and recording of members of the UNUSA academic community. The system integrates AI-powered cameras with a web-based dashboard, referred to as the Lobby PIM Dashboard, which displays real-time information related to recognized individuals. The workflow begins with image capture and face detection by the AI camera, followed by data transmission to the server via an API for identification and information retrieval. The system generates detection logs and attendance records, which are stored and presented through the dashboard interface. The results demonstrate that the proposed system can support more efficient attendance management and provide accessible academic information for lecturers and students. Overall, this implementation contributes to improving administrative processes and enhancing the effectiveness of academic services at UNUSA.
Planetarium Glass Based on Augmented Reality to Improve Science Literacy Knowledge in Madura Primary Schools Ayu, Rr. Fadila Kusumaning; Jannah, Zahrotul; Fauziah, Nur; Ningsih, Tri Nadia; Manilaturrohmah, Manilaturrohmah; Suryadi, Devaldi Akbar; Budiarti, Rizqi Putri Nourma; Fitriyah, Fifi Khoirul
Jurnal Pendidikan Anak Vol 3 No 1 (2021): Early Childhood Innovative Learning Media: issue April
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/cej.v3i1.1768

Abstract

One of the important branches of science on an international scale is scientific literacy. This study aimed to increase the science literacy knowledge of elementary school students on the material of the solar system. This study uses the ADDIE type Research and Development (R&D) method, starting from analysis, design, development, implementation, and evaluation. Expert testing of a learning product was carried out by users of the Planetarium Glass application, namely grade VI students of SDN Patengteng 2. The results of this media trial on 22 respondents showed 80% effectiveness. This research instrument uses an online questionnaire to users to determine the effectiveness of this learning media. The final result of the Planetarium Glass application media based on augmented reality is an application format that can be used by utilizing an android-based smartphone. This media provides information about the material of the solar system in the form of 3D virtual animation (3 dimensions) accompanied by an explanation of each object in audio form and is equipped with an application usage module. This media is designed to facilitate students' understanding in understanding the material of the solar system effectively and efficiently because students can see directly the material conveyed via the smartphone they use. Learning using the Planetarium Glass application can be used as an alternative learning media in increasing science literacy knowledge of elementary school students, especially in Madura.
Cerdas Digital: Peluang Bisnis di Media Sosial untuk Generasi Z Meutia, Nur Shabrina; Magfira, Dike Bayu; Ilmi, Zujajatul; Budiarti, Rizqi Putri Nourma
Indonesia Berdaya Vol 7, No 2 (2026)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20261310

Abstract

Abstract. Social media has evolved into one of the most effective platforms for communication, marketing, and business transactions. Generation Z, as digital natives, holds significant potential in leveraging social media as a business platform. However, various challenges remain, ranging from low levels of digital literacy to limited understanding of social media algorithms. This community engagement program was conducted at SMP Insan Cendekia Mandiri Boarding School, Sidoarjo, with the aim of enhancing students’ understanding of digital entrepreneurship, introducing the use of artificial intelligence (AI) for promotion, and training them in creating marketable digital content. The implementation method consisted of four stages: initiation, preparation, execution in the form of socialization and training, and evaluation through pre-tests and post-tests. The results indicated an improvement in students’ comprehension of digital entrepreneurship concepts, their ability to utilize social media productively, and their creativity in content creation. The average pre-test score of 95.14 increased to 96.00 in the post-test, reflecting strengthened conceptual understanding and practical skills. This article underscores the importance of educational strategies and the sustainability of training programs to ensure that young generations can optimize social media as a business tool. Abstrak. Media sosial telah berkembang menjadi salah satu sarana paling efektif untuk komunikasi, pemasaran, sekaligus transaksi bisnis. Generasi Z sebagai generasi digital native memiliki potensi besar dalam memanfaatkan media sosial sebagai platform bisnis. Namun, berbagai tantangan masih dihadapi, mulai dari rendahnya literasi digital hingga pemahaman yang terbatas terkait algoritma media sosial. Kegiatan pengabdian kepada masyarakat ini dilaksanakan di SMP Insan Cendekia Mandiri Boarding School Sidoarjo dengan tujuan meningkatkan pemahaman siswa tentang digital entrepreneurship, memperkenalkan pemanfaatan kecerdasan buatan (AI) untuk promosi, serta melatih keterampilan pembuatan konten digital bernilai jual. Metode pelaksanaan terdiri dari tahap inisiasi, persiapan, eksekusi berupa sosialisasi dan pelatihan, serta evaluasi menggunakan pre-test dan post-test. Hasil menunjukkan adanya peningkatan pemahaman siswa terkait konsep kewirausahaan digital, kemampuan memanfaatkan media sosial secara produktif, serta kreativitas dalam pembuatan konten. Nilai rata-rata pre-test sebesar 95,14 meningkat menjadi 96,00 pada post-test, menunjukkan adanya penguatan pemahaman konseptual dan keterampilan praktis. Artikel ini menegaskan pentingnya strategi edukatif dan keberlanjutan program pelatihan agar generasi muda mampu mengoptimalkan media sosial sebagai sarana bisnis.
Co-Authors Adhim, Fauzi Imaduddin Adnan Rachmat Anom Besari Afib Rulyansah Agus Imam Sonhaji Agus Imam Sonhaji, Agus Imam Agus Salim Agustien, Lusiana Ahmad Muthoharun Ahmad Syafiq Kamil Ahmad Syafiq Kamil Ahmad Syafiq Kamil Aisah, Putri Lailatul Al Hafidz, Ilham Achmad Al-Mufidah, Asyita Alfadina, Afni Virda Alfandino rasyid alfiah alfiah Alfiah Alfiah Alman Faluti Ashari Alman Faluti Ashari Amalia, Nadia Amma Liesvarastranta Haz Amma Liesvarastranta Haz Anam, Muhammad Wildan Khoirul Anang Tjahjono, Anang Andini Hardiningrum Andini Hardiningrum Andini, Ary Anggraini, Fitria Annabila, Zulfa Nida Asma Annisa Ayu Briliant Aris Sudaryanto Arissabarno, Cahyo Ashfiyatun Najjah Asyita Al-Mufidah Authar, Nailul Awang Andhyka Ayu, Rr. Fadila Kusumaning Azzahra, Surnia Maulidah Basuki, Edi Pujo Bayu Riskiananto Bintarti, Tri Wahyuni Choirun Nisa Afidatus Zahro Daffa Salma Minandar Dani, Novelita Ayu Rahma Darmawan Aditama Destita Shari Devaldi Akbar Dewi Masithah Dike Bayu Magfira, Dike Bayu Dimas Sasongko Dwi Kurnia Basuki Emy Yunita Rahma Pratiwi, Emy Yunita Rahma Endah Budi Permana Putri Endang Sulistiyani Endang Sulistiyani Endang Sulistiyani Endang Sulistyani Evianita Dewi Fajrianti Evianita Dewi Fajrianti Fajar Annas Susanto Fajrianti, Evianita Dewi Farhani, Alivia Rahma Fatkur Rokhim Fawaidul Badri Feby Ade Arvianto Fifi Khoirul Fitriyah Firdhausyah, Yasmin Afra Funabiki Nobuo Ghofirin, Mohammad Hakim, Oktafian Sultan Handayani Handayani Handayani, Chika Tunas Haryantin, St. Haz, Amma Liesvarastranta Helga Lia Irbah Heni Agustina Heri Yulianus Idris Winarno Ika Mardiyanti Ilham Achmad Al Hafidz Ilmi, Zujajatul Ima Kurniastuti Indasyah, Enny Irwana, Galeh Ariya Istas Pratomo Istas Pratomo, Istas Istiqomah, Fivitria JANNAH, ZAHROTUL Jauharotur Rihlah Jauharotur Rihlah Jauharotur Rihlah Jordan Maulana Khamida Khamida Khannifah Rahmadhani Khusnah, Hidayatul Khusnul Khotimah Kridoyono, Agung Lailiyah, Nilna Muna Luqmanul Hakim Iksan Lystianingrum, Vita M Aidir Rafly M Udin Harun Al Rasyid, M Udin Harun Manilaturrohmah, Manilaturrohmah Mardhotillah, Rachma Rizqina Mariati, Pance Marsella Duwi Septyani Marvyna, Hanifah Citra Maulana, Jordan Mauridhi Hery Purnomo Minandar, Daffa Salma Moch. Sahri Mohamad Rijal Iskandar Zhulqurnain Muhammad Agus Zainuddin Muhammad Aidir Rafly Muhammad Chamdani Sukron Muhammad Udin Harun Al Rasyid Mujad Didien Afandi Mujiyanto, Rachmat Muyassaroh Muyassaroh Nafiah Nafiah Nafiah, Nafiah Nailul Authar Najjah, Ashfiyatun Nashirin, Rohmatun Naufal Adi Satrio Naufal Adi Satrio Niken Savitri Primasari Ningsih, Tri Nadia Nisa Ayunda Nugroho, Bagoes Wahyu Nur Fauziah NurFaiza, Yusril Izza Pamungkas, Aji Bayu Pance Mariati Panduman, Yohanes Yohanie Fridelin Paramitha Nerisafitra Pratama, Afis Asryullah Prayudi, Agus Primasari, Niken Savitri Putri Lailatul Aisah Rachma Rizqina Mardhotillah Rahardhita Widyatra Sudibyo Rahmi, Rizki Nur Ramadan, Mohammad Noval Ramadhani, Muhammad Azka Robith Rasyid, Alfandino Ribut Prastiwi Sriwijayanti Ridwan Maulana Rifka Putri Wardhani Rita Sari Riyan Sisiawan Putra Rizki Amalia Rizki Amalia Rizki Amalia Rizki Amalia Elfita Robiq Abiyyu Sadid Rohmatun Nashirin Rozi, Muhammad Javier Dafa Savilla Tifania Mahadewi Septyan Diaz Anggoro Septyani, Marsella Duwi Siswanti, Anas Tifa Rahma Sofia, Ainin Soleha, Umdatus Sri Hartatik Sri Hartatik Sritrusta Sukaridhoto Sulistiyani, Endang Sulistyani, Endang Surnia Maulida Azzahra Surnia Maulidah Azzahra Suryadi, Devaldi Akbar Syafiq Kamil, Ahmad Teguh Herlambang Ubaidillah Zuhdi Ubaidillah Zuhdi Udin Harun Al Rasyid, Muhammad Vaiza, Vira Amelia Jenylaf Wardhani, Rifka Putr Wardhani, Rifka Putri Wibowo, Nanda Dwi Cahyo Wulan, Tri Deviasari Yasmin Afra Firdhausyah Yohanes Yohanie Fridelin Panduman Yohanes Yohanie Fridelin Panduman Yohanie Fridelin Panduman, Yohanes Yudianto, Firman Yusril Izza Nurfaiza Zahro, Choirun Nisa Afidatus Zainatul Mufarikkoh Zainatul Mufarrikoh