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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Komunikasi REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat IAIC Transactions on Sustainable Digital Innovation (ITSDI) Walisongo Journal of Information Technology Advance Sustainable Science, Engineering and Technology (ASSET) Journal Peqguruang: Conference Series Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) Jurnal Teknik Informatika dan Elektro (JURTIE) Journal of Management Nursing Jurnal Manajemen Informatika & Teknologi International Transactions on Artificial Intelligence (ITALIC) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika International Journal of Information Technology and Business Jurnal Pengabdian Kepada Masyarakat Indonesia Jurnal Informatika Dan Tekonologi Komputer Global Science: Journal of Information Technology and Computer Science Jurnal Manajemen, Bisnis dan Kewirausahaan Indonesian Journal of Infomatics Cyber Security and Network Management
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Universitas Sains Dan Teknologi Komputer
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SITENAR CERYA as an Innovation in English Language Learning at SMP Stella Matutina Salatiga: Merging Technology and Folktales Englishtina, Inti; Putranti, Honorata Rarnawati Dwi; Danang, Danang; B Pujiati, Agnes Agnesita
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 5, No 3 (2024): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v5i3.241-250

Abstract

This study investigates the integration of SITENAR CERYA as an innovative approach to enhancing English language learning at SMP Stella Matutina Salatiga. SITENAR CERYA combines traditional folktales with modern technology to create an interactive learning experience. Employing qualitative implementation methods, including interviews, focus groups, and classroom observations, this activity examines participants' perceptions and experiences with SITENAR CERYA. The evaluation revealed that 85% of students reported increased engagement with English learning, and 90% of teachers noted a significant improvement in students' cultural appreciation and language acquisition. Furthermore, quizzes conducted during the activity showed an average 20% increase in students' language proficiency. These findings highlight the effectiveness of merging cultural heritage with technology in educational settings, offering valuable implications for future language teaching practices.
Integrating Hands-on and Virtual Learning for Environmental Sustainability: Eco Enzyme Soap Making at Stella Matutina Dwi Putranti, Honorata Ratnawati; Danang, Danang; Brito Da Silva, Teodora Maria Fernandes; B Pujiati, Agnes Agnesita
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 1 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i1.88-97

Abstract

This Community Service Program aimed to implement and evaluate an Experimental Hybrid Learning Model at SMP Stela Martutina, Salatiga, Central Java. The program focused on enhancing students' conceptual understanding and practical skills by integrating concrete and virtual experiences in eco enzyme soap making. The program led to a significant increase in students' knowledge of environmental issues and their practical abilities in eco enzyme production. Moreover, students showed improved engagement in both physical and virtual learning environments. This hybrid learning approach proved effective in achieving educational goals and holds potential for broader implementation in other educational contexts.
E-Commerce and Digital Marketing Strategies: Their Impact on Startupreneur Performance Using PLS-SEM Sutisna, Felix; Lutfiani, Ninda; Anderson, Evelyn; Danang, Danang; Syaidina, Musidiansyah Otto
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 2 (2025): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i2.695

Abstract

Startup entrepreneurs are increasingly relying on technology to manage their businesses, particularly through the use of E-Commerce platforms and digital marketing strategies. This study investigates the impact of these technologies on the performance of startup entrepreneurs. Conducted through an online survey of 150 Indonesian startup entrepreneurs from various industries, the research used a questionnaire to evaluate the extent of E-Commerce application usage, digital marketing efforts, and entrepreneurial performance, with a focus on revenue growth, customer satisfaction, and market visibility. The results indicate that the use of E-Commerce platforms has a significant and positive impact on startup performance. Entrepreneurs who actively use these platforms experience higher revenue growth and enhanced customer satisfaction. Furthermore, digital marketing strategies were found to positively influence business performance, particularly in terms of improving market visibility and expanding market reach. This research provides valuable insights into how technology and digital marketing can enhance startup performance. The key takeaway is that integrating E-Commerce platforms and digital marketing strategies into startup growth plans is essential. By investing in digital technologies and improving on- line marketing skills, startup entrepreneurs can achieve greater business success.
Transformation of Indonesian Language in Social Media Using AI Expert Systems and Machine Learning Santoso, Nuke Puji Lestari; Rawat, Bhupesh; Ratri, Sanda Ramadhan; Danang, Danang; Kumoro, Dwi Ferdiyatmoko Cahya; Supriati, Ruli; Natalia, Elisa Ananda
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.806

Abstract

This study explores the transformation of the Indonesian language on social media platforms by integrating advanced artificial intelligence techniques, including expert systems and machine learning algorithms. The rapid evolution of communication on platforms such as TikTok, Twitter, and Instagram has led to a dynamic shift in language use, characterized by increased creativity in slang, abbreviations, and code-mixing, alongside challenges in maintaining compliance with standard language norms. By applying intelligent systems capable of analyzing large volumes of social media data, this research aims to identify patterns of linguistic innovation and deviations from conventional language rules. The expert system framework supports automated detection and classification of language variations, while machine learning models enhance the accuracy and adaptability of language analysis over time. Findings indicate that AI-driven approaches can effectively balance the dual needs of fostering linguistic creativity and preserving language standards, providing valuable insights for language educators, policymakers, and digital content developers. The study underscores the potential of intelligent technologies to facilitate language monitoring and support efforts in maintaining the cultural identity of the Indonesian language amid the fast-paced digital communication landscape.
Design and Development of Tourism Geographical Information System of Semarang City Based On Android Mobile Shobirin, Achmad; Aryotejo, Guruh; Danang, Danang
Advance Sustainable Science, Engineering and Technology Vol 2, No 1 (2020): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i1.6018

Abstract

The development of information technology that exists today is very rapid, making us to keep abreast of the development of these technologies. Technology is able to present all information quickly and instantly, leaving old patterns such as gathering information manually which may require more time. Information technology today is very effective and efficient as indicated by the speed of processing time and the accuracy of the information needed. One of them is the information about tourist attractions, which is currently increasingly in demand by people who want to vacation with friends, relatives and family. However, the lack of information about the location of attractions that want to be visited, especially for potential tourists from outside the area of Semarang, make the author interested in design and creating the Semarang City Geographic Tourism Information System Based on Android Mobile to facilitate the search for the nearest route to the desired tourist attraction. The method used is using the Geographic Information System based on the data from the Semarang City Culture and Tourism Service. The Semarang City Tourism Geographic Information System Based on Android Mobile is a solution to problem solving as a medium to obtain information and tourism locations in the Semarang, which is applied in Android Smartphone devices, especially for the people from outside the city of Semarang. 
Pembuatan Video Pembelajaran Daring Di SMK Swadaya Semarang Eka Satria Wibawa; Danang Danang
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 1 No. 3 (2021): Desember: Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v1i3.41

Abstract

Sebagai salah satu upaya kepedulian Lembaga Pengabdian Pada Masyarakat (LP2M), yaitu dengan diselenggarakannya pelatihan pe,mbuatan video di smk swadaya agar dapat meningkatan kinerja pembelajaran di lingkungan SMK SWADAYA SEMARANG Dengan adanya program pelatihan serta penyuluhan ini diharapkan para Pendidik dapat memahami dan mengimplementasikan ilmu dan informasi yang diperoleh untuk mendukung proses pengelolaan organisasi menjadi baik serta berkembang secara pesat. Pemilihan program penyuluhan dan pelatihan dalam pelatihan pembuatan video bagi pendidik guru didasarkan atas kebutuhan serta kerjasama pada kepala smk swadaya mengadakan kunjungan ke tempat usaha pemilik dalam tahapan pra survei. Tekait dengan hal tersebut, Tim PPM Lembaga Pengabdian Masyarakat Universitas STEKOM Semarang memandang perlu pelatihan dan penyuluhan Pendidikan pembuatan video, untuk diselenggarakan
RANCANG BANGUN SISTEM INFORMASI PELAYANAN ANGGOTA BERBASIS WEB MENGGUNAKAN METODE SDLC Danang Danang; Zaenal Mustofa
Jurnal Manajemen, Bisnis dan Kewirausahaan Vol. 1 No. 3 (2021): Desember: Jurnal Manajemen, Bisnis dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jumbiku.v1i3.4

Abstract

PT Amarta Karya Semarang, sebagai salah satu asosiasi yang bergerak di bidang jasa konstruksi ketenagalistrikan, dengan anggota yang tersebar di seluruh Jawa Tengah, dalam pengembangannya masih membutuhkan rencana strategis dan membawa kemajuan bagi asosiasi dan anggota. Oleh karena itu, dalam penulisan ini penulis akan membuat suatu model akta pendaftaran badan usaha berbasis web yang diharapkan dapat menjadi salah satu solusi pengembangan asosiasi itu sendiri. Sistem Informasi Layanan Anggota yang dikembangkan dengan metode pendekatan pengembangan sistem dengan SDLC (System Development Life Cycle) menghasilkan sebuah aplikasi yang akan menjawab kebutuhan PT Amarta Karya Semarang akan sebuah sistem layanan informasi guna meningkatkan pelayanan yang lebih baik. kepada anggota. Dalam pembuatan sistem ini, penulis menggunakan Macromedia Dreamweaver MX 2004 sebagai media perancangan dan PHP sebagai bahasa pemrograman yang digunakan, serta database MySQL sebagai media penyimpanan. Hasil perancangan Sistem Informasi Layanan Anggota dapat diakses oleh anggota, asesor, dan tanggung jawab, dimana anggota dapat mengajukan sertifikasi Badan Usaha secara online. Asesor dapat menilai lebih cepat dan persetujuan penanggung jawab dapat dilakukan lebih cepat, sehingga secara keseluruhan proses sertifikasi Badan Usaha dapat dilakukan dengan lebih cepat dan efektif. Kata kunci : Sistem, Informasi, layanan
Assessing Software Architecture Resilience Using Quantitative Metrics in Cloud Native Application Development Environments Eko Siswanto; Danang Danang; Ismi Kusumaningroem; Ilham Akhsani
Indonesian Journal of Infomatics Vol. 1 No. 1 (2026): February: Indonesian Journal of Infomatics
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/iji.v1i1.27

Abstract

Cloud native architectures are essential for modern software systems due to their ability to handle dynamic environments, scalability, and high availability. However, ensuring resilience in these systems remains a significant challenge, particularly under varying operational conditions such as high-load periods and failure scenarios. This study aims to assess the resilience of cloud native architectures using quantitative metrics that objectively evaluate key attributes such as availability, fault tolerance, recovery time, and scalability. Through the application of these metrics, the study identifies the strengths and weaknesses of the architecture, providing insights into how the system performs under stress and recovers from failures. The results show that while the architecture demonstrates strong availability and scalability under typical conditions, recovery time and scalability under extreme load conditions reveal areas for improvement. Specifically, issues with resource allocation and self-healing capabilities were identified as key weaknesses affecting the overall resilience of the system. These findings highlight the importance of using data-driven metrics to gain detailed insights into system resilience and to guide architectural improvements. The study also emphasizes the need for continuous monitoring and adaptation of the architecture to optimize fault tolerance and recovery processes. The implications of this research extend to cloud application developers and architects, offering actionable recommendations for improving system resilience. Future research could focus on integrating real-time monitoring systems, developing more advanced resilience metrics, and incorporating AI-driven scaling techniques to further enhance the adaptability and robustness of cloud native systems. By addressing these challenges, cloud native architectures can be better equipped to maintain high performance and reliability in dynamic, real-world environments.
Digital Forensics and Automated Incident Response Framework Leveraging Big Data Analytics and Real Time Network Traffic Profiling in Heterogeneous Cyber Environments Danang Danang; Zaenal Mustofa; Irlon Irlon
Cyber Security and Network Management Vol. 1 No. 1 (2026): February: Cyber Security and Network Management
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/cybernet.v1i1.15

Abstract

The increasing complexity and scale of modern cybersecurity threats necessitate the development of advanced systems capable of efficiently detecting, analyzing, and mitigating incidents in real time. This paper proposes an automated framework for digital forensics and incident response that leverages big data analytics and real time network traffic profiling. The framework integrates cutting-edge technologies, including Apache Spark for real time data processing and Hadoop for scalable data storage, combined with machine learning models like LSTM and Autoencoders to detect anomalies and threats in network traffic. By automating the process of incident detection and response, this framework significantly reduces the time required to identify threats and improves the accuracy of forensic evidence correlation across heterogeneous network environments. The study highlights the advantages of using machine learning models and big data tools to address the limitations of traditional manual and semi-automated systems, which often struggle to keep pace with large-scale data generation. Testing results demonstrate that the proposed framework can handle large data volumes efficiently, providing real time, actionable insights with significantly reduced response times. Additionally, the framework improves forensic analysis by enabling the correlation of evidence from different devices and protocols, making it more effective than traditional methods in identifying the root cause of security incidents. However, challenges related to data heterogeneity, scalability, and system integration were encountered during testing. The proposed framework holds promise for significantly enhancing the efficiency and effectiveness of cybersecurity operations, with future work focusing on further integration of advanced AI techniques and machine learning models for dynamic and adaptive incident response.
Digital Twin-Based Cyber-Physical Security Framework Incorporating AI-Driven Predictive Maintenance and Zero-Trust Architecture in Smart Grid Systems Danang Danang; Febri Adi Prasetya; Rashad Huseynaga Asgarov
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 3 (2025): September: Global Science: Journal of Information Technology and Computer Scien
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i3.168

Abstract

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.
Co-Authors Ahmad Ashifuddin Aqham Amad Maijun Amad Maijun Amalia Septi Reslili Anderson, Evelyn Andik Susdiyanto B Pujiati, Agnes Agnesita Basri Basri Beltsazaran Beltsazaran Brito Da Silva, Teodora Maria Fernandes Budi Hartono budi hartono Budi Hartono Budi Raharjo Dani Sasmoko Dani Sasmoko Duryono Duryono Eka Satria Wibawa Eko Siswanto Endang Swastuti Eni Dwifitri Astutiningtias Fatimah Indrawati Febri Adi Prasetya Febryantahanuji Febryantahanuji Fujiama Diapoldo Silalahi Gufron Gufron Gunawan Wibisono Guruh Aryotejo Guruh Aryotejo, Guruh Hendri Rasminto Hudha Pratna Safiyan Ilham Akhsani Iman Saufik Suasana Indra Ava Dianta Inti Englishtina Irlon Irlon Ismi Kusumaningroem, Ismi Kasih Purwantini Katon Abdul Fatah Kumoro, Dwi Ferdiyatmoko Cahya Maya Utami Dewi Minarida Nova Yuspita Moh Muthohir Mufadhol Mufadhol Muh Tofik Muhammad Agus Kurniawan Muhammad Ryza Awwali , Sulartopo, Muhammad Ryza Awwali , Muhammad Sarjan Nandito Putra Prabawa Natalia, Elisa Ananda Ninda Lutfiani Nizar, Mochamad Fahrul Nur Cahyo Hendro Wibowo Nur Fauziah Nuris Dwi Setiawan Nusril Nusril Padjar Setyo Budi Priyadi Priyadi Putranti, Honorata Rarnawati Dwi Rashad Huseynaga Asgarov Ratnawati Dwi Putranti Honorata Ratri, Sanda Ramadhan Rawat, Bhupesh Rima Febriana Maryati Rizki, Soulenia Rahayu Ruli Supriati, Ruli S Siswanto Santoso, Nuke Puji Lestari Shobirin, Achmad Siti Nasekah Suprapti Suprapti Sutisna, Felix Suwardi Suwardi Syaidina, Musidiansyah Otto Tin Utami Toni Wijanarko Adi Putra Tony Winjanarko Adi Putra Vivi Kumalasari, Vivi YAN ILMAS PUIMERA Zaenal Mustofa Zaenal Mustofa