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Bridging the Gap: Enabling Network IDS Research through Laboratory Development Zy, Ahmad Turmudi; Suryadi, Dikky; Simarangkir, Manase Sahat H; Sidabutar, Jeckson; Ghofir, Abdul
Proceeding International Pelita Bangsa Vol. 1 No. 01 (2023): September 2023
Publisher : DPPM Universitas Pelita Bangsa

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

Abstract

This research explores the critical connection between innovation in IDS technology and the establishment of advanced research laboratories. Through a diverse range of presentations, workshops, and discussions, participants will discover how these labs can bridge the gap between theoretical research and practical application, ultimately bolstering the defense of our interconnected world against cyber adversaries. Attendees will gain insights into the vital role that research laboratories play in advancing IDS technology, enhancing cybersecurity practices, and adapting to emerging threats. It addresses the pressing need for state-of-the-art laboratories that serve as fertile grounds for exploring novel IDS strategies, testing new detection algorithms, and simulating real-world cyberattacks.
Pelatihan Penulisan Buku Ber-ISBN di STMIK Al Muslim Bekasi Danny, Muhtajuddin; Rilvani, Elkin; Setyawan, Wisnu; Suryadi, Dikky
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 1 No. 2 (2023): Desember 2023
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v1i2.50

Abstract

Menjadi seorang pengajar atau dosen tidak hanya melibatkan penyampaian materi kepada mahasiswa. Namun, penting juga untuk melakukan eksplorasi dalam proses penyampaian tersebut agar materi tersebut dapat dipahami dengan mudah. Dalam rangka menyampaikan materi kepada mahasiswa, seringkali dosen membuat bahan ajar dan buku ajar yang memiliki peranan penting dalam mendukung kegiatan belajar mengajar di kelas. Buku ajar dapat dianggap sebagai salah satu sarana yang memungkinkan interaksi antara dosen dan mahasiswa. Melalui buku ajar ini, dosen dan mahasiswa dapat berinteraksi dengan lebih mudah. Buku ajar adalah buku yang digunakan sebagai panduan untuk mata kuliah, disusun dan ditulis oleh ahli di bidangnya. Tentu saja, buku ajar tersebut harus mencakup materi yang sesuai dengan buku teks dan diterbitkan secara resmi serta disebarluaskan. Seorang dosen diharapkan bisa menerbitkan buku yang ber-ISBN. ISBN yang kepanjanagn dari International Standard Book Number atau Standar Internasional Penomoran Buku, adalah kode pengidentifikasian buku yang bersifat unik dan bersifat internasional. Artinya buku semua negara di dunia yang diterbitkan secara resmi oleh penerbit akan memiliki ISBN.
Pembelajaran Berbasis Proyek untuk Menyiapkan Siswa SMK Garuda Nusantara Menghadapi Tantangan Industri 4.0 Surojudin, Nurhadi; Zy, Ahmad Turmudi; Muktiali, Saiful; Nugroho, Djoko; Suryadi, Dikky
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 2 No. 1 (2024): Juni 2024
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v2i1.85

Abstract

Kegiatan mini seminar ini bertujuan untuk memperkenalkan dan menerapkan konsep Pembelajaran Berbasis Proyek (Project-Based Learning/PBL) kepada siswa SMK Garuda Nusantara sebagai upaya untuk mempersiapkan mereka menghadapi tantangan Industri 4.0. Melalui seminar yang berlangsung selama satu hari, para peserta mendapatkan pemahaman tentang pentingnya keterampilan praktis, kolaborasi, dan pemecahan masalah dalam konteks industri modern. Seminar ini juga mencakup diskusi tentang tren teknologi terkini dan bagaimana PBL dapat membantu siswa mengembangkan keterampilan yang relevan dengan dunia kerja. Hasil dari kegiatan ini menunjukkan peningkatan pemahaman siswa terhadap konsep PBL dan antusiasme mereka dalam menerapkan metode ini dalam pembelajaran sehari-hari.
The Application of COBIT Framework to Evaluate Information System Governance in National Business Technology Transformation Companies Kraugusteeliana, Kraugusteeliana; Sri Wahyuningsih, Suluh; Hesti Indriana, Intan; Suryadi, Dikky; Munizu, Musran
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.479

Abstract

The purpose of this study is to determine how to assess information technology governance by utilizing the COBIT 5 framework and the domains of APO01 (Manage the IT Management Framework), EDM04 (Ensure Resource Optimization), and APO04 (Manage Innovation). The COBIT 5 architecture is employed in this study. Both qualitative and quantitative research methodologies were used in this study. Through surveys, interviews, and observations, we gathered primary data. The secondary data came from various existing sources, including websites, literature reviews, and the findings of other investigations. This study's information technology governance data analysis approach complies with COBIT 5's Assessment Process Activities. According to the analysis, the current state's capability value in the EDM04 domain is 1.8. In the meantime, the capability value is 2.9 for the anticipated circumstance. The APO01 domain's recent state results in a capability value of 1.7. In the meantime, the capability value is 3.1 for the expected circumstance. In the APO04 domain, the current state has a capability value 1.6. Under ideal circumstances, the business receives a capacity value of 3. This implies that the business needs to fulfill the prerequisites for level 2 process capacity indicators, which are now unfulfilled. For instance, producing papers outlining the management of the innovation process and documents evaluating rejected innovative ideas.
The Application of Cobit 5.0 Framework to Measure Capability of Information and Technology Governance and Management Processes Fajri, T. Irfan; Nuryanto, Uli Wildan; Najmi, Muazziss; Suryadi, Dikky; Octiva, Cut Susan
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.515

Abstract

This study examines the measurement of Information Technology governance and management capability levels using Cobit 5.0. Researchers collected data through questionnaires and interviews. Data processing from questionnaires and interviews can reveal the company's current level. In the EDM domain, the company scored very high in the process that addresses information technology risk optimization. Regular evaluation of business processes is crucial to create alignment and deal with possible risks. To move up to level two, companies must identify and understand the impact of the risks that arise. Companies should enhance their information technology services and security within the domain, perform audits, and report current and future risks. In this domain, companies must identify service capacity, predict future needs, and be ready to face sudden changes. In the DSS domain, companies need to have information system analysis experts conduct training for their staff, identify availability and service problems, and test the ability of their systems to move up to level two.
Training on the Use of Appropriate Technology to Increase Agricultural Production in Villages in Indonesia Siswanto, Agus; Haji, Wachyu Hari; Suryadi, Dikky; Hady, Sultan; Setiawan, Zunan
Unram Journal of Community Service Vol. 5 No. 3 (2024): September
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i3.673

Abstract

This Community Service activity aims to improve the knowledge and skills of farmers in Indonesia's villages by using appropriate technology through online training. In this series of activities, villages with adequate internet infrastructure and a low rate of technology adoption are identified. The training was conducted online using the Zoom application and attended by farmers from various regions. The results of the pre-test show that the majority of farmers have limited knowledge about agricultural technology. After participating in the training, the final assessment (post-test) showed a significant improvement in farmers' knowledge and skills, with an average increase in knowledge scores of 60% and skills of 55%. High participation and positive feedback from participants indicate the effectiveness of online training as a method to increase farmers' capacity. However, challenges such as limited access to equipment and cost remain obstacles to implementing appropriate technology in the field. In conclusion, online training has improved farmers' knowledge and skills. Still, additional support is needed to ensure the sustainability of the application of technology in the field. These findings make an important contribution to the development of farmer capacity-building programs in Indonesia, especially in the context of the adoption of modern agricultural technology.
The Application of Artificial Intelligence for Anomaly Detection in Big Data Systems for Decision-Making Octiva, Cut Susan; Suryadi, Dikky; Judijanto, Loso; Laia, Mitranikasih; Irwan, Dedy
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3358

Abstract

The development of big data technology has generated huge volumes of diverse data, creating challenges in detecting anomalies that could potentially affect decision-making. This research aims to examine the application of artificial intelligence (AI) in detecting anomalies in big data systems to support faster, more accurate and effective decision-making. The approach used includes the integration of machine learning algorithms, such as classification-based detection, clustering, and deep learning, in identifying abnormal patterns in large datasets. The research method involves real-time dataset-based simulations by measuring the performance of AI models using accuracy, precision, recall, and F1-score metrics. The results show that the application of AI can significantly improve the anomaly detection capability compared to conventional methods, with an average accuracy of 92%.
Introduction to Cybersecurity for Teachers and Students in Indonesia in the Digital Era (Pengenalan Keamanan Siber bagi Guru dan Siswa di Indonesia di Era Digital) Octiva, Cut Susan; Rahayu, Novi; Laia, Mitranikasih; Suryadi, Dikky; Hakim, Muhammad Lukman
Indonesia Berdaya Vol 6, No 1 (2025)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20251004

Abstract

This Community Service (PKM) activity aims to increase cybersecurity literacy among teachers and students as part of efforts to support digital transformation in education. The training was conducted online with an interactive approach, involving 50 participants from various schools in Indonesia. The material includes an introduction to cyber threats, mitigation strategies, and daily digital security practices. The evaluation was done through pre-test and post-test, accompanied by a participant satisfaction questionnaire. The results showed a significant improvement in participants' understanding, with an average score increase of 73%. The level of satisfaction of participants with the training reached the "excellent" category with an average score of 4.75 on a scale of 5. These findings reflect the effectiveness of the designed training methods. However, the limitations of digital infrastructure are the main challenge in implementing activities. This Activity has contributed positively to building cybersecurity awareness and literacy in the education sector. In addition to providing direct benefits to participants, this program is expected to be a model for similar training that supports the sustainable strengthening of digital literacy in Indonesia.Abstrak. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan literasi keamanan siber di kalangan guru dan siswa sebagai bagian dari upaya mendukung transformasi digital dalam pendidikan. Pelatihan dilakukan secara daring dengan pendekatan interaktif, melibatkan 50 peserta dari berbagai sekolah di Indonesia. Materi yang diberikan meliputi pengenalan ancaman siber, strategi mitigasi, dan praktik keamanan digital sehari-hari. Evaluasi dilakukan melalui pre-test dan post-test, disertai dengan kuesioner kepuasan peserta. Hasil penelitian menunjukkan adanya peningkatan pemahaman peserta yang signifikan, dengan peningkatan skor rata-rata sebesar 73%. Tingkat kepuasan peserta terhadap pelatihan mencapai kategori “sangat baik” dengan skor rata-rata 4,75 dari skala 5. Temuan ini mencerminkan efektivitas metode pelatihan yang dirancang. Namun, keterbatasan infrastruktur digital menjadi tantangan utama dalam pelaksanaan kegiatan. Kegiatan ini telah memberikan kontribusi positif dalam membangun kesadaran dan literasi keamanan siber di sektor pendidikan. Selain memberikan manfaat langsung kepada peserta, program ini diharapkan dapat menjadi model pelatihan serupa yang mendukung penguatan literasi digital di Indonesia secara berkelanjutan.
Analisis Big Data untuk Deteksi Hoaks dan Disinformasi di Platform Berita Online Laia, Mitranikasih; Ayuliana; Wasiran; Hakim, Muhammad Lukman; Suryadi, Dikky
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3859

Abstract

In the digital era, the spread of hoaxes and disinformation on online news platforms is a serious challenge that can affect public opinion and social stability. This research aims to analyze the application of Big Data technology in automatically detecting hoaxes and disinformation. The methods used include data collection from various online news sources, text processing using Natural Language Processing (NLP), and the application of machine learning algorithms to classify news based on their level of credibility. The dataset used includes news from various categories, which are validated with trusted sources. The results show that the combination of Big Data, NLP, and machine learning techniques can improve the accuracy of hoax detection with a high success rate. This study is expected to contribute to the development of a fake news detection system that is more effective and adaptive to the trend of information dissemination in the digital world.
Using Artificial Neural Networks and the Kohonen Method, an Image Pattern Recognition System for Khat Art Types Rasna, Rasna; Lubis, Adyanata; Suryadi, Dikky; Bani, Alexius Ulan; Nugroho, Fifto
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.851

Abstract

Arabic letter writing is known as khat art. Khat is classified into many categories and can be identified into three types: Khat Naskhi, Khat Qufi, and Khat Farisi, per the rules established in the art of Khat. Arabic letters, the subjects of khat art, evolved following the region where it first appeared. As a result, the Qufi style, for instance, marked the start of the evolution of Khat in the tenth century. Previously somewhat rigid, Khat became more fluid and beautiful, although it remained angular. Subsequently, the art of Sulus, Naskhi, Raiham, Riqa, and Tauqi evolved and exhibited the form of Khat, cursive (italic)—artificial neural network-based khat art type recognition by selecting the Kohonen