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Pemanfaatan Sistem Pembayaran Digital QRIS untuk Menunjang Kegiatan UMKM Nana Coffee Cakes Eatery Semarang Timur Indra Ava Dianta; Eko Siswanto; Unang Achlison; Arie Atwa Magriyanti; Edy Siswanto; Budi Raharjo
Perkivi Vol 1 No 01 (2024): Juni: Jurnal Perkivi
Publisher : PT Bisnis Digital Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/perkivi.v1i01.55

Abstract

UMKM Nana Coffee Cakes Eatery yang merupakan cafe yang berlokasi di Semarang Timur dan dikelilingi oleh beberapa sekolah dan gereja ini tak seikit pengunjungnya adalah ibu-ibu dan lansia yang tidak sedikit darinya kurang paham mengenai perkembangan teknologi salah satunya QRIS. Para pengunjung lain seperti mahasiswa, anak muda bahkan siswa SMP SMA pun sebagian besar melakukan transaksi menggunakan QRIS, namun akhir akhir ini akses Code QR yang dahulunya dicetak pada akrilik sekarang dapat diakses melaluimesin EDC yang digunakan, menjadikan banyak yang menyangka bahwa tidak bisa dilakukan pembayaran melalui QRIS. Berdasarkan dari pengamatan di lapangan dapat disimpulkan bahwa sistem metode pembayaran Quick Response Code Indonesian Standard (QRIS) masih sangat efektif digunakan walaupun terdapat faktor lainnya..  
Pelatihan Penetapan Harga untuk Menunjang Kegiatan UMKM Laundry pada "Rumah Cuci" Semarang Utara Eko Siswanto; Indra Ava Dianta; Unang Achlison; Arie Atwa Magriyanti; Moh. Muthohir; Budi Raharjo
Perkivi Vol 1 No 02 (2024): Desember: Jurnal Perkivi
Publisher : PT Bisnis Digital Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/perkivi.v1i02.56

Abstract

Peningkatan daya saing pada Usaha Mikro Kecil dan Menengah (UMKM) laundry semakin ketat, strategi bersaing menjadi upaya untuk mempertahankan posisi kompettif. UMKM laundry memiliki potensi untuk memberikan kontribusi positif terhadap perkembangan ekonomi, khususnya Rumah Cuci yang ingin mempertahankan posisi kompetitif dalam masyarakat. Pengamatan di lapangan dengan menggali aspek internal dan eksternal usaha dengan mengunakan analisis SWOT serta fokus pada layanan dan penetapan harga yang kompetitif. Diharapkan dapat memberikan panduan praktis pada UMKM Laundry “Rumah Cuci” untuk meningkatkan daya saing pasar.
Pelatihan Sistem Informasi Terkait Media Pembelajaran Daring di Era pandemic Covid-19 (TK Banin 58 Salatiga) Indra Ava Dianta; Ahmad Ashifuddin Aqham; Eko Siswanto
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.v1i3.123

Abstract

The purpose of this service is to provide counseling and training on the application of information systems in good schools, understand the making of online learning media, be able to apply the knowledge gained and be involved in managing school learning media as a learning tool. to provide an entrepreneurial mindset or entrepreneurship. With this training program, it is hoped that educators can implement the knowledge and information obtained to support the teaching and learning process.
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.
Integrating Computational Thinking and Adaptive Curriculum Frameworks to Enhance Problem Solving Skills in Undergraduate Programming Education Across Diverse Learning Contexts Nicodemus Rahanra; Ahmad Ashifuddin Aqham; Eko Siswanto
Programming and Algorithm Fundamentals Vol. 1 No. 1 (2026): January: Programming and Algorithm Fundamentals
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/paf.v1i1.17

Abstract

This study investigates the integration of computational thinking (CT) principles with adaptive curricula to enhance problem-solving skills in undergraduate programming education. Traditional programming curricula often emphasize syntax and basic concepts, neglecting critical problem-solving strategies. The adaptive curriculum framework used in this study combines CT skills such as decomposition, pattern recognition, abstraction, and algorithmic thinking with personalized learning experiences. A mixed-method approach, combining qualitative and quantitative research, was employed to assess the effectiveness of this integrated approach. The results show significant improvements in students' problem-solving abilities, conceptual understanding, and engagement compared to a control group following a traditional curriculum. Students in the experimental group, which received the adaptive curriculum, demonstrated better performance in applying algorithms and debugging code. Additionally, students expressed higher levels of engagement and motivation, suggesting that the personalized learning environment fostered greater academic involvement. The study highlights the importance of integrating CT principles with adaptive learning frameworks to create a more inclusive and effective learning environment that accommodates diverse learning needs. The findings suggest that adaptive curricula can bridge gaps in traditional education by providing personalized support and ensuring that students progress at their own pace. This approach is especially beneficial for programming education, where both conceptual understanding and practical problem-solving skills are critical for success. Future research should explore the long-term impact of adaptive learning frameworks and investigate how these technologies can be integrated with traditional teaching methods to maximize their effectiveness.