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All Journal Jurnal Simetris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Dinamisia: Jurnal Pengabdian Kepada Masyarakat Conference SENATIK STT Adisutjipto Yogyakarta Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Building of Informatics, Technology and Science JISKa (Jurnal Informatika Sunan Kalijaga) International Journal of Engineering, Technology and Natural Sciences (IJETS) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Innovation Information Technology and Application (JINITA) Journal of Computer Networks, Architecture and High Performance Computing Journal of Applied Data Sciences International Journal for Applied Information Management Formosa Journal of Multidisciplinary Research (FJMR) Indonesian Journal on Data Science Jurnal Pengabdian Widya Dharma The Indonesian Journal of Computer Science
Astika AyuningTyas, Astika
Institut Teknologi Dirgantara Adisutjipto, Yogyakarta
Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Sistem Manajemen Virtual Local Area Network (VLAN) Pada Cisco Catalyst 3750 Berbasis Web Ayuningtyas, Astika; Sudaryanto, Sudaryanto; Cessara, Deno Daseftra
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 11, No 1 (2020): JURNAL SIMETRIS VOLUME 11 NO 1 TAHUN 2020
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (923.914 KB) | DOI: 10.24176/simet.v11i1.4084

Abstract

VLAN merupakan salah satu teknologi komputer yang saat ini sangat dibutuhkan. Hal ini dikarenakan VLAN dapat membagi satu jaringan pada perangkat switch menjadi bagian-bagian kecil jaringan lain. Cisco Catalyst 3750 merupakan perangkat switch yang sudah menyediakan teknologi VLAN. Permasalahan yang ditemukan pada Cisco Catalyst 3750 adalah sistem manajemen VLAN yang masih berbasis command line dan tidak dapat diakses dari jarak jauh. Untuk itu dibuat VLAN berbasis GUI dan dapat diakses dari jarak jauh. VLAN yang dibuat berbasis Web dengan tujuan untuk memberikan kebebasan pemakaian device dan tidak harus terfokus pada satu jenis device saja. VLAN berbasis Web ini dibuat dengan memanfaatkan API Cisco sebagai penghubung antara bahasa pemrograman pada VLAN berbasis Web dengan bahasa pada perangkat lunak Cisco Catalyst 3750.Pemanfaatan Telnet berperan penting dalam pembuatan VLAN berbasis Web ini, dimana Telnet memberikan akses lebih luas pada Cisco Catalyst 3750 untuk diakses di luar aplikasi terminal emulator. Dengan pemanfaatan Telnet administrator cukup mengujungi IP yang telah dibuat untuk mengakses Cisco Catalyst 3750. Akses jarak jauh pada VLAN berbasis Web ini menggunakan port fowarding. Serveo.net adalah salah satu penyedia layanan port fowarding. Dengan memanfaatkan Serveo.net, VLAN berbasis Web yang masih dalam server local dapat diakses dari jarak jauh meski tanpa IP publik. Hasil pengujian pada penelitian ini menunjukkan bahwa VLAN berbasis Web terbukti dapat melakukan konfigurasi VLAN sehingga dapat digunakan untuk mengatur hubungan antar komputer sesuai dengan kebutuhan pada jaringan yang digunakan.
SOSIALISASI PEMANFAATAN MEDIA AUGMENTED REALITY PADA SISWA KELAS IV SD Syafriza, Azizatul Alif; Nuryatno, Edy Tri; Ayuningtyas, Astika; Ferryka, Putri Zudhah
WIDHARMA - Jurnal Pengabdian Widya Dharma Vol. 4 No. 02 (2025): Agustus 2025
Publisher : LPPM Universitas Widya Dharma Klaten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54840/widharma.v4i02.359

Abstract

The purpose of this community service is to provide socialization to elementary school students, especially grade IV, in four locations related to Augmented Reality media. Learning today is not limited only to books or explanations from teachers. Learning today can utilize technological developments. Gadgets that have been a means of entertainment can be used as learning media. The use of gadgets as learning media can provide different facilities so that they can foster student learning motivation. It is hoped that after this socialization activity, students will have broader knowledge related to learning media. Developing technology can be a fun learning medium for students.
Implementasi Metode Weighted Product Pada Sistem Rekomendasi Tempat Makan di Sekitar Bandara Yogyakarta International Airport (YIA) Berbasis Web Ayuningtyas, Astika; Fakhri Yahya, Muhammad; Kusumaningrum, Anggraini; Sajati, Haruno; Dewi Retnowati, Nurcahyani
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 3 No. 1 (2025): Indonesian Journal On Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v3i1.1648

Abstract

Pertumbuhan sektor kuliner di kawasan Bandara Yogyakarta International Airport (YIA) menimbulkan kebutuhan akan sistem informasi yang mampu memfasilitasi pengambilan keputusan pemilihan tempat makan secara efektif. Kompleksitas pemilihan ini dipengaruhi oleh beragam kriteria, antara lain rating (rasa dan layanan), harga, jarak, jam operasional, dan fasilitas yang tersedia. Penelitian ini bertujuan mengembangkan sistem rekomendasi berbasis website dengan menerapkan metode Weighted Product (WP) sebagai pendekatan Sistem Pendukung Keputusan (SPK). Pengumpulan data dilakukan melalui integrasi data sekunder dari Google Maps serta survei primer terhadap 15 rumah makan di sekitar Bandara YIA. Validasi sistem dilakukan menggunakan metode black box, serta evaluasi akurasi dilakukan melalui perbandingan hasil sistem dengan perhitungan manual, yang menghasilkan tingkat akurasi sebesar 83%. Hasil penelitian menunjukkan bahwa penerapan metode WP pada sistem rekomendasi ini mampu memberikan rekomendasi yang relevan dengan preferensi pengguna. Temuan ini diharapkan dapat berkontribusi pada pengembangan aplikasi SPK di bidang pariwisata kuliner serta menjadi acuan pengembangan sistem rekomendasi berbasis multikriteria di lingkungan serupa.
Analisis Sistem Deteksi Citra untuk Optimalisasi Pengawasan Lalu Lintas Udara Menggunakan Algoritma YOLOv5 Ayuningtyas, Astika; Riadi, Imam; Yudhana, Anton
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 10 No. 3 (2025): September 2025
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2025.10.3.364-376

Abstract

This study aims to develop an image detection system capable of identifying manned and unmanned aircraft objects to support air traffic surveillance. The increasing flight activity, both from commercial aircraft and drones, requires a more optimal surveillance system to connect the airspace efficiently. In this study, a Convolutional Neural Network (CNN) model utilizing the You Only Look Once version 5 (YOLOv5) method is employed to detect and classify objects in real-time from aircraft images. The methodology employed includes collecting aerial image data, labeling the data, and training object detection models using YOLOv5. The dataset used consists of 2,520 images of manned aircraft (warplanes) and 5,422 images of unmanned aircraft (drones). The experimental results demonstrate that the YOLOv5 model achieves high detection accuracy for both manned and unmanned aircraft, with a relatively fast inference time, thereby supporting the development of an effective air traffic surveillance system. This system is expected to be an integral part of a more sophisticated and responsive air traffic surveillance solution.
A Conceptual Framework for Integrating SUS into ITIL: Enhancing IT Service Management Through Usability Evaluation Rakhmadi, Aris; Rochmadi, Tri; Azis, Abdul; Ayuningtyas, Astika; Sarmini; Wahyusari, Retno
The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i5.4842

Abstract

Effective IT service management must combine operational excellence with seamless user experience in today's digital era. This paper introduces the Deployment and Integration Framework for Assessment (DIFA), a conceptual model that integrates the System Usability Scale (SUS) within the IT Infrastructure Library (ITIL) framework. ITIL offers a structured approach to aligning IT services with business objectives, while SUS provides reliable usability measurements from the user's perspective. By embedding SUS assessments throughout ITIL's lifecycle—spanning service strategy, design, transition, operation, and continual improvement—DIFA enables organizations to evaluate and enhance IT services' usability systematically. This integration bridges the gap between process efficiency and user satisfaction, supporting informed decision-making, improved service adoption, and better alignment with user needs. The findings highlight the strategic value of combining usability evaluation with ITIL's best practices, offering a sustainable and scalable pathway for organizations to deliver IT services that are both technically robust and intuitively user-friendly.
Analysis Of Product Price For Creative Economic Business Yogyakarta Special Region Using Data Scrapping Ayuningtyas, Astika; Indrianingsih, Yuliani; Mauidzhoh, Uyuunul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2184

Abstract

The government in the National Economic Recovery (PEN) launched a strategy to increase business activity, namely by maximizing the potential for product sales through E-Commerce. E-Commerce sites in Indonesia display product information with different descriptions and prices. Through the pages on E-Commerce can collect data to form a useful information. Collection of data variations requires a method or system that can automatically collect the data provided on the Web page. In addition to data collection, another thing that needs to be considered is the meaning of knowledge from the collection of information that has been obtained. For these data to be useful, it is necessary to design a place for data management. Data must be selected and arranged properly so that it is easy to use so that it gives a good meaning. This research requires methods and tools in the process. The method used is Web Scrapping while the tools used are Tableau. There are two objectives in this research. First, obtain product price data for creative economy entrepreneurs in the Special Region of Yogyakarta through E-Commerce, especially Tokopedia and Bukalapak. Second, present product price data visually to facilitate the process of price distribution analysis so that it can provide information to local governments, especially product managers from creative economy business actors to support strategic policies in determining product prices from creative economy business actors in the Special Region of Yogyakarta to support promotion and tourism.
Pelatihan sistem informasi catatan Bimbingan Konseling (BK) bagi guru bimbingan konseling SMA di Kabupaten Sleman Nuryatno, Edi Triono; Ayuningtyas, Astika; Wahyudi Sumari, Arwin Datumaya; Nugraheny, Dwi; Pamungkas, Dedi Bintang; Agustian, Harliyus; Sajati, Haruno; Sudaryanto, Sudaryanto; Aryanto, Salam; Astuti, Yenni
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 3 (2024): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i3.2227

Abstract

Guru Bimbingan Konseling (BK) yang tergabung dalam MGBK di wilayah Kabupaten Sleman membutuhkan perangkat lunak yang dapat membantu pekerjaan mereka dalam memberikan konseling kepada anak-anak Sekolah Menengah Atas (SMA) atau Sekolah Menengah Kejuruan (SMK). Dengan menggunakan perangkat lunak yang dapat diakses dimana saja akan sangat menguntungkan bagi Guru BK jika membutuhkan data di waktu apapun dan tempat manapun. Sehijngga para guru ini membutuhkan pelatihan untuk menggunakan perangkant lunak yang dapat diakses melalui halaman brower dengan Alamat catatanbk.com. Rata-rata nilai hasil pelatihan para peserta sejumlah 96,3.  Sebanyak 26 guru memiliki nilai diatas rata-rata dan 7 orang guru berada dibawah rata-rata.
The Effect of Light Intensity, Camera Pixel Quality, Camera Distance, and Object Altitude on Detection Accuracy in a Real-Time Drone Surveillance System Using YOLOv5 Astika Ayuningtyas; Imam Riadi; Anton Yudhana
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2843

Abstract

This research evaluates the performance of the drone detection system based on YOLOv5 in a variety of environmental conditions. The four main variables under test were drone height, camera type, light intensity, and camera-to-object distance. Thirty-six different scenarios were used with three different camera types (1080p, 2K, and Canon 600D). The height of the drones varied from 1 to 14 meters, and the variations in illumination ranged from 0 to 46 lux. Results showed consistent YOLOv5 performance with an average accuracy of 60%, precision of 62%, recall of 58%, F1-score of 60%, and IoU of 75%. ANOVA revealed that light intensity, camera distance, and drone height all had a significant impact on detection accuracy (p < 0.05), but camera type was not statistically significant. The best results were obtained under the following conditions: high light levels (>40 lux), camera distances <10 m, and drone altitudes between 6 and 9 m. These findings demonstrate the importance of environmental setup in improving the performance of object detection systems based on deep learning. This research helps design a more reliable and adaptable drone detection system for real-world applications. This work provides practical guidelines for implementing deep learning-based aerial surveillance and highlights optimal operational parameters for YOLOv5 systems.
Co-Authors Abdul Azis Adetya Dyas Saputra Agus Basukesti Agus Basukesti, Agus Agustian, Harliyus Ahmad Ashari Ahmad Ashari Akbar, M. Pandu Rizky Ali Mustadi Alif Restu Pramudi Anggraini Kusumaningrum Anggraini Kusumaningrum Anggraini Kusumaningrum Anggraini Kusumaningrum, Anggraini Annurroni, Ilyas Anton Honggowibowo Anton Setiawan Honggowibowo Anton Setiawan Honggowibowo Anton Yudhana Aris Rakhmadi Arwin Datumaya Wahyudi Sumari Cessara, Deno Daseftra Dewi Retnowati, Nurcahyani Dwi Kholistyanto Dwi Nugraheny, Dwi Emy Setyaningsih Fakhri Yahya, Muhammad Ferryka, Putri Zudhah Gabriel Naka Sorateleng Habib Satrio Atmojo Harliyus Agustian Haruno Sajati Heni Pujiastuti Imam Riadi Irawan, Ayu Endita Irawaty, Mardiana Iwan Adhicandra Kholistyanto, Dwi Lely Delvia Sipayung Leonardo Tampubolon Lopes, Jodio Blasius Lukman Nadjamuddin Machsunah, Yayuk Chayatun Machsunah Mauidzhoh, Uyuunul Moh Risaldi Ningsih, Tri Widyastuti Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nurwijayanti Kusumaningrum Nuryatno, Edi Triono Nuryatno, Edy Tri Opsidion Tegar Pratama Pamungkas, Dedi Bintang Pramudi, Alif Restu Pujiastuti, Asih Putra, Novan Ramdanu Retnowati , Nurcahyani Dewi Risaldi, Moh Rochmadi, Tri Rofiq Harun Salam Aryanto Sarmini Sipayung, Lely Delvia Sucahyo, Nur SUDARYANTO SUDARYANTO Sukmawati, Ellyzabeth Syafriza, Azizatul Alif Syam, Syahriani Uyuunul Mauidzhoh Uyuunul Mauidzoh Uyuunul Mauidzoh Wahyusari, Retno Waworuntu, Alexander Wintolo, Hero Wulandari, Rindi Nur Yenni Astuti, Yenni Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih