Claim Missing Document
Check
Articles

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. 
RANCANG BANGUN APLIKASI PENJUALAN OXYGEN PADA PT. SINAR PURNAMA SAKTI SEMARANG Amalia Septi Reslili; Danang Danang
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 4 No. 1 (2024): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v4i1.2953

Abstract

Sinar Purnama Sakti Semarang is an agent with a trading business that is engaged in the sale of Gas Oxygen (O2), Acyteline (C2H2), Carbondioxide (CO2) and Argon (Ar) experiencing problems, namely in the process of data processing sales of goods are still completely manual. This results in a good accumulation of transaction data, so that the efficiency and completeness of the data is not guaranteed. The purpose of this paper is to create an application that can help process data quickly and efficiently at PT. Sinar Purnama Sakti Semarang. This sales application is very helpful for users. With the new system in the sales application, it will make it easier to process data and make sales reports. In addition, PT. Sinar Purnama Sakti Semarang can also provide proof of payment in the form of a note. Performance of PT. Sinar Purnama Sakti Semarang becomes faster and more efficient after the sales application. So to simplify the sales information system is done with a computerized system. There are several programs that can be used in processing sales applications, one of which is the Visual Basic 6.0 program. Microsoft Visual Basic 6.0 is one of the most popular programs used in programming. Many people have used it and many people already know it. As for storage, the author uses Microsoft Office Access. Based on the description above, the authors take the title in accordance with the need for data processing information in PT. Sinar Purnama Sakti 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
Autonomous Underwater Vehicles (AUVs) for Deep-Sea Exploration and Environmental Monitoring Danang Danang; Everett Quinn Adler; Dawson Zane
Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v2i1.29

Abstract

The advancement of Autonomous Underwater Vehicles (AUVs) is transforming the way scientists conduct deep-sea exploration and environmental monitoring. AUVs equipped with sophisticated sonar, AI-driven navigation systems, and real-time data transmission capabilities can explore extreme marine environments where human intervention is impossible. This paper reviews state-of-the-art developments in AUV technology, including enhanced battery efficiency, swarm intelligence for coordinated underwater missions, and AI-based anomaly detection for marine biodiversity assessment. Additionally, the study highlights the role of AUVs in disaster response, such as oil spill detection and ocean pollution analysis. By addressing technical challenges such as communication latency, data processing in harsh environments, and energy efficiency, this research aims to contribute to the next generation of AUV applications.
AI-Powered Cybersecurity for Industrial Control Systems Danang Danang; Idris Maazin; Khalaf Tariq Zubayr
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.31

Abstract

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.
6G Networks and AI-Orchestrated Resource Allocation Danang Danang; Tameem Raif; Zubair Hadi Faisal; Munir Fadlan Karim
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.42

Abstract

As 6G networks promise unprecedented speeds and ultra-low latency, AI-based resource allocation plays a crucial role in optimizing network performance. This study explores AI-driven techniques for spectrum management, energy efficiency, and real-time data processing. By leveraging machine learning and deep learning models, AI enhances network adaptability, reduces congestion, and improves overall efficiency. The proposed approaches enable intelligent decision-making, dynamic resource allocation, and predictive analytics to meet the growing demands of future wireless communication. The findings highlight the potential of AI in revolutionizing 6G networks, ensuring seamless connectivity, and maximizing network capacity while minimizing power consumption. These advancements contribute to the development of more sustainable and intelligent telecommunication infrastructures.