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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics PROSIDING CSGTEIS 2013 EMITTER International Journal of Engineering Technology JOIV : International Journal on Informatics Visualization INOVTEK Polbeng - Seri Informatika J-Dinamika: Jurnal Pengabdian Kepada Masyarakat GUYUB: Journal of Community Engagement The Indonesian Journal of Computer Science
Idris Winarno
Politeknik Elektronika Negeri Surabaya
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Performance evaluation of serverless cloud-native API deployment: a case study on a mobile health application Maulana Bintang Irfansyah; Bilal Waheed; Idris Winarno; Akhmad Alimudin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 1: February 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i1.27261

Abstract

As software applications become increasingly complex, there is a growing need for scalable, flexible, and high-performance backend solutions. Cloud computing-based application programming interfaces (APIs) address these demands by enabling developers to offload resource-intensive tasks to the cloud while eliminating the burden of infrastructure management. This study presents a case study using Obesifix, a mobile health application for real time dietary monitoring and personalized nutrition recommendations. Two deployment models were evaluated: a traditional server-based architecture using Google Compute Engine (GCE) and a serverless approach using Google Cloud Run (GCR). Performance testing was conducted with Apache JMeter under simulated loads of 60, 120, and 180 users across four critical API endpoints (register, login, recommendation, prediction). Results show that GCR consistently achieved 20–30% lower response times and 15–20% higher throughput compared to GCE, while maintaining 0% error rate, lower memory consumption, and more balanced virtual central processing unit (vCPU) utilization. Time to first byte (TTFB) remained below 800 ms across all scenarios, confirming good server responsiveness. These findings highlight the scalability and efficiency benefits of serverless architectures for mobile health applications. Future research should explore asynchronous programming paradigms, autoscaling thresholds, and cost-performance trade-offs, as well as multi-cloud deployments to enhance system resilience and generalizability.
Water Quality Control System Based on Web Application for Monitoring Shrimp Cultivation in Sidoarjo, East Java Arna Fariza; Setiawardhana Setiawardhana; Bima Sena Bayu Dewantara; Aliridho Barakbah; Dadet Pramadihanto; Idris Winarno; Tessy Badriyah; Tri Harsono; Iwan Syarif; Wahjoe Tjatur Sesulihatien; Puspasari Susanti; Achmad Thorikul Huda; Oktavia Citra Resmi Rachmawati; Izza Nur Afifah; Rudi Kurniawan; Silfiana Nur Hamida
GUYUB: Journal of Community Engagement Vol 4, No 3 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v4i3.7245

Abstract

Shrimp farming plays a crucial role to the Indonesian economy, but it is facing challenges from shifting weather patterns and global warming. This research focuses on the development and implementation of a web-based water quality monitoring system for shrimp farming to address these concerns. The research, conducted in collaboration with shrimp farmers in Sidoarjo, East Java, introduces PENS Aquaculture program, which is designed to efficiently monitor pH, salinity, and temperature. The system employs Internet ofThings (IoT) technology, which allows farmers to register several ponds, analyze water parameters, and receive real-time data through tables and graphs. The research takes a mixed-methods approach, integrating quantitative data from IoT devices with qualitative insights gathered through surveys and interviews with shrimp farmers. The study aims to evaluate the influence of IoT technology on shrimp pond quality and its contribution to the production. The findings show that PENS Aquaculture application is helpful in increasing shrimp farming efficiency, providing significant insights for the fisheries and cultural sectors.
Co-Authors Abd. Rasyid Syamsuri Achmad Thorikul Huda Akhmad Alimudin Ali Ridho Barakbah Amang Sudarsono, Amang Arissabarno, Cahyo Arna Fariza Ata Amrullah Aulia, Fira Ayub, Waqas Bambang Sumantri Bilal Waheed Bima Sena Bayu Dewantara Budiarti, Rizqi Putri Nourma Dadet Pramadihanto Dewi, Ni Made Lintang Asvini Entin Martiana Kusumaningtyas Fajrianti, Evianita Dewi Gunawan, Agus Indra Hary Oktavianto Ikawati, Yunia iwan Syarif Izza Nur Afifah Jamal Abdul Nasyir Jamal Abdul Nasyir Kusuma, Harun Indra M Udin Harun Al Rasyid, M Udin Harun Marlisa Sigita, Marlisa Maulana Bintang Irfansyah Muhammad Alfian Muzaki Nurus Sani, Muzaki Nurus Nasyir, Jamal Abdul Nurazmi, Talita Iza Oktavia Citra Resmi Rachmawati Pratama, Afis Asryullah Primajaya, Grezio Arifiyan Puspasari Susanti Ramadhan, Alif Wicaksana Rasyid, Alfandino Rudi Kurniawan Setiawardhana Setiawardhana Setiawardhana, Setiawardhana Silfiana Nur Hamida Suasono, Zaikhul Sulthon Sudarsono , Amang Tessy Badriyah, Tessy Tri Harsono Udin Harun Al-Rasyid Udin Harun Al-Rasyid Utomo, Agus Priyo Wahjoe Tjatur Sesulihatien Wiratmoko Yuwono