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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi E-Dimas: Jurnal Pengabdian kepada Masyarakat RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Teknik Komputer AMIK BSI VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Infomedia KACANEGARA Jurnal Pengabdian pada Masyarakat Surya Abdimas EXPLORE Building of Informatics, Technology and Science Mobile and Forensics JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Abdi Insani Jurnal Mandala Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Decode: Jurnal Pendidikan Teknologi Informasi Bulletin of Information Technology (BIT) Muria Jurnal Layanan Masyarakat EXPLORE Journal of Community Services: Sustainability and Empowerment Intechno Journal : Information Technology Journal Explore The Indonesian Journal of Computer Science Nawadeepa: Jurnal Pengabdian Masyarakat Dialektika Jurnal Pendidikan
Subektiningsih Subektiningsih
Universitas Amikom Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Public Health Social Sciences Transportation Other

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ANALISIS DAN PENGUJIAN KEAMANAN JARINGAN VLAN BERBASIS FIREWALL SECURITY PORT: ANALYSIS AND TESTING OF VLAN NETWORK SECURITY BASED ON FIREWALL SECURITY PORT Muhammad Attalla Noval Bijaksa; Subektiningsih Subektiningsih; Pramudhita Ferdiansyah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6333

Abstract

The rapid advancement of computer network technology and the increasing demand for efficient, stable, and high-speed network access, along with the need for adequate security measures, network security has become a major concern. Network security encompasses various techniques designed to protect and maintain the integrity of network systems. One such technique involves implementing a firewall system that incorporates the port security method. This method is used to regulate the use of network ports with the aim of controlling unauthorized access to the network. Port security also serves to block suspicious access, monitor network activity, and prevent data theft by malicious actors. By implementing a firewall system based on port security, potential issues within the network infrastructure can be mitigated, thereby enhancing the overall quality of network security. This study analyzes the reliability of a firewall system that utilizes a port security approach. The test results demonstrate that Macof attacks were unable to compromise the switch’s MAC address table, which was protected by Sticky Port Security.
KLASIFIKASI CITRA WAJAH BERDASARKAN PENGGUNAAN KACAMATA MENGGUNAKAN ALGORITMA CNN DAN IMPLEMENTASI FLASK Rahayu Fathan Asri; Subektiningsih Subektiningsih
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7122

Abstract

Face image classification is an important branch of computer vision and artificial intelligence, commonly applied in various fields such as facial recognition and facial attribute analysis. One facial attribute that is particularly interesting to classify is the use of eyeglasses, as it can affect the overall accuracy of facial recognition systems. This study aims to develop an eyeglass-use classification system based on a Convolutional Neural Network (CNN) and implement it in a web application using Flask to enable real-time prediction results. The research methodology includes collecting facial image datasets from Kaggle, performing preprocessing steps such as resizing, augmentation, and normalization, designing the CNN architecture, training the model, and evaluating its performance using a confusion matrix and classification report. The designed CNN model consists of three convolutional layers, max pooling, a flattening process, two fully connected layers, and a dropout layer to reduce the risk of overfitting. During the training phase, the model achieved 90% training accuracy and 96% validation accuracy, while testing on the test dataset resulted in an overall accuracy of 82%. The Flask-based system is capable of displaying real-time predictions, including the input image, classification label, accuracy percentage, and inference time. In the detection process, the accuracy of the model implementation reached 93% and the time required was in the range of a few milliseconds. The results demonstrate that the CNN can effectively classify faces with and without eyeglasses, and its implementation through a web interface offers broad potential for visual identification applications.  
Anti-Forensics with Steganographic File Embedding in Digital Image Using Genetic Algorithm Amadeus Pondera Purnacandra; Subektiningsih Subektiningsih
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 2 (2022): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i2.24208

Abstract

In this study, a steganography method on digital images as anti-forensics by utilizing genetic algorithms was proposed. Genetic Algorithms are artificial intelligence whose functions are optimization and search. The purpose of this research is to optimize steganography as anti-forensic by applying a Genetic Algorithm and combined with the Hilbert curve, lempel Ziv Markov chain, and least significant bit. The result provides a new steganography method by combining various existing methods. The proposed method will be tested for image quality using PSNR, SSIM, Chi-Squared steganalysis and RS-Analysis, and extraction test. The novelty obtained from the developed method is that the steganography method is as optimal as anti-forensic in keeping confidential data, has a large embedding capacity, and is able to be undetected using forensic methods. The results can maintain data confidentiality, have a large embedding capacity, and are able to be undetected using forensic methods. The proposed method got better performance rather than the previous method because PSNR and SSIM values are high, secret data can be received back as long as the pixel value doesn't change, and the size of the embedding capacity. The proposed method has more ability to embed various types of payload/ secret data because of the way it works, which splits byte files into binary. The proposed method also has the ability not to be detected when forensic image testing is carried out.
Comparative Analysis of Apache 2 Performance in Docker Containers vs Native Environment Rizky Bintang Saputra; Subektiningsih Subektiningsih
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.27220

Abstract

Web servers have become crucial to facilitate access to and distribute such content on the internet. In this case, Docker containerization technology offers a solution. Docker allows developers to package applications and dependencies in one container, making deploying web servers faster and easier. But with these features, is there any performance that must be sacrificed if we choose to use docker in our web server deployment process. We will look at how much performance will be sacrificed. However, we must thoroughly analyze how Apache2 performs when running in a Docker container compared to running natively. That's why we're conducting a study to compare the performance of Apache2 in a Docker container versus a native environment using experimental methods. For this study, we'll use the Apache bench tool to test Apache2's performance in both environments. By experimenting, it should become clear how the performance of Docker containers compares to native environments when developing web servers. The research shows that Apache2 performance on native hosts is about 5-10% better than in a docker environment in handling small request loads. The better performance here refers to the parameters we tested: total time results, requests per second, and transfer speed. The request load variation can differ depending on the server specification itself. Although Docker offers features in terms of application isolation and scalability, our results show that running Apache2 natively is more efficient without changing its default configuration. The additional overhead Docker can be required to run the docker system in isolating the application; in this case, the virtualization layer is required to run Apache2 inside a Docker container. This can affect application performance and cause a slight performance degradation compared to using the host operating system directly. This research aims to inform developers about the performance difference between apache2 in Docker and the native environment. It will help them make informed decisions about deployment environments. Docker offers appealing features, but its performance may need to improve.  Test results show that the native host performs better, although its feature set is not as extensive as that of Docker.
Implementasi Metode Waterfall Pada Perancangan Website Seminar Nasional KOMA Irma Rofni Wulandari; Firman Diatullah Guna Darma; Subektiningsih Subektiningsih; Kartikadyota Kusumaningtyas; Ninik Tri Hartanti
Intechno Journal : Information Technology Journal Vol. 6 No. 1 (2024): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2024v6i1.1696

Abstract

Teknologi informasi telah menjadi bagian yang tak terpisahkan dari berbagai aspek kehidupan manusia. Kegiatan seperti seminar nasional tidak lepas dari pengaruh teknologi informasi dalam penyelenggarannya. Seminar Nasional KOMA telah menggunakan Google Form sebagai platform untuk pendaftaran dan penyampaian informasi umum. Penggunaan google form memiliki kelemahan yaitu panitia harus menyesuaikan alur pendaftaran dengan sistem yang ada pada google form. Salah satu cara untuk meningkatkan efektivitas penyelenggaraan seminar nasional adalah dengan memanfaatkan teknologi, khususnya pengembangan website. Salah satu metode pengembangan perangkat lunak yaitu metode waterfall. Metode ini melibatkan serangkaian tahapan yang meliputi analisis kebutuhan, perancangan, pengembangan, pengujian, dan implementasi. Dalam konteks pengembangan website untuk seminar nasional KOMA, penggunaan metode waterfall dapat memberikan kerangka kerja yang terstruktur dan jelas untuk merencanakan serta mengembangkan solusi yang tepat sesuai dengan kebutuhan yang ada. Penelitian ini berhasil mengimplementasikan metode waterfall dalam perancangan website seminar nasional "KOMA" yang dapat mengakomodasi kebutuhan informasi seminar proses pendaftaran dan pengelolaan administrasi. Pengujian Black Box Testing hasil black box telah sesuai dengan hasil yang diharapkan. Berdasarkan pengujian yang dilakukan menggunakan System Usability Scale (SUS) diperoleh nilai 83 yang termasuk ke dalam kategori acceptable dengan grade B.
Wave Interference dan Perbandingan QOS Pada WLAN Hotel Menggunakan Metode Action Research: Wave Interference and Comparison of QOS In WLAN Hotels Using Action Research Methods Subektiningsih Subektiningsih; Dimas Rizky Eka Candra; Pramudhita Ferdiansyah
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 3 No. 1: MARET 2023
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v3i1.130

Abstract

Hotel T, Bali menggunakan WLAN dengan tujuh access point untuk memenuhi kebutuhan operasional. Ketersediaan bandwidth yang tinggi diperlukan untuk memenuhi akses oleh staff hotel maupun customer. Berdasarkan hasil diagnosis kecepatan rata-rata unduh 2.27 Mbps, kecepatan rata-rata unggah 1.87 Mbps dengan hasil pengukuran quality of service parameter jitter dan packet loss berada pada kategori buruk dan sedang, namun terdapat satu access point yang kondisi jitter dalam kategori bagus. Karena perbedaan yang signifikan ini dilakukan pengecekan interferensi dalam jaringan. Hasilnya, channel pada access point overlapping sehingga menimbulkan wave interference. Tahap action planning dan action taking dilakukan untuk meminimalisir interferensi pada WLAN Hotel T. Perbaikan channel dilakukan dengan mengubah frekuensi pada setiap access point. Hal tersebut menjadikan setiap access point mempunyai pengaturan frekuensi yang berbeda-beda. Kecepatan akses unduh, unggah dan pengecekan status host melalui ping mengalami perubahan signifikan, yaitu menjadi lebih baik. Hasil evaluasi menyatakan bahwa interferensi dapat mempengaruhi nilai jitter. Hal ini ditunjukkan dengan meningkatnya rata-rata kualitas layanan pada jitter dari kategori Buruk menjadi Bagus. Peningkatan yang signifikan terjadi pada packet loss yang berada pada kategori Sangat bagus, artinya kegagalan paket saat pengiriman sangat kecil, antara 0 hingga 1,3%. Dalam hal ini terjadinya wave interference dapat mempengaruhi quality of service dalam jaringan.
Co-Authors Aan Romadhon Eko Prasetyo Adi Saputro, Johan Akhmad Muzakka Amadeus Pondera Purnacandra Amitaba, Asthivia Oktanda Anggun Anindya Sekarningrum Arifiyanto Hadinegoro, Arifiyanto Astuti, Yuli Astuti Baharudin, Muhamad Bayu Prayoga, Mahendra Dedy Hariyadi Devi Wening Astari Devi Wening Astari Dhimas Satria Dimas Rizky Eka Candra Dimas Zaldiyanto Dzakwan, Muhammad Dzakwan Ar Rosyid Erfan Wahyudi Faris Fathahillah Herman Ferdiansyah, Pramudhita Ferdiansyah, Pramudhita Ferdiansyah, Ricky Andre Firman Diatullah Guna Darma Hendrawan, Mohammad Yan Fikri Hidayat, Muhammad Alfi Ichsansyah, Rifki Fahrezi Putra Imran, Bahtiar Indrayani, Rini Indrayani, Rini Indrayani, Rini Irma Rofni Wulandari Joni Kiskandar Kamarudin Kamarudin Kartika Sari Yudaninggar Kartika Sari Yudaninggar Kartikadyota Kusumaningtyas Muhammad Attalla Noval Bijaksa Muhammad Dzakwan Ar Rosyid Dzakwan Muzakka, Akhmad Nainggolan, Jessica Vega Nani Sulisnawati Nazaruddin Ahmad NINIK TRI HARTANTI Nur Rahmat Prasetya Nuri Cahyono Pramudhita Ferdiansyah Pramudhita Ferdiansyah Rahayu Fathan Asri Renaldi Renaldi Rifda Faticha Alfa Aziza Rini Indrayani Rizky Bintang Saputra Santoso, Wahid Hasim Saputro, Andromeda Pandu Sekarningrum, Anggun Anindya Sutarni, Sutarni Syaiful Huda, Taufiq Wisnu Aditya Wulandari, Irma Rofni Yudaninggar, Kartika Sari