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Implementasi IoT Untuk Monitoring Pertumbuhan Tanaman Cabai Dengan Sistem Penyiraman Otomatis Di Desa Kembaran Wetan Abednego Dwi Septiadi; Yudha Islami Sulistya; Maie Istighosah; Maryona Septiara; Diovianto Putra Rakhmadani; Agatha Dinarah Sri Rumestri
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 2 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i2.6901

Abstract

Kembaran Wetan Village is one of the agricultural areas with chili plants as its main commodity. The main problem faced by farmers is the suboptimal irrigation system, which is still done manually and not based on the actual condition of the land. This community service activity aims to design and implement an Internet of Things (IoT) system to monitor chili plant growth and regulate irrigation automatically. The system consists of five soil moisture sensors, one air temperature and humidity sensor, one rain sensor, and a main controller using an ESP32 connected to a web-based platform. The system is equipped with a dashboard displaying real-time data on soil moisture, temperature, and device status, and can be accessed via a smartphone. The activity also involved training for farmers and ongoing support during the implementation phase. The results of the activity demonstrated that the system can accurately measure soil conditions and regulate irrigation according to plant needs. Farmers also showed interest and readiness to operate the equipment independently. This success indicates that the application of appropriate technologies like IoT has significant potential to enhance efficiency and productivity in rural agriculture in a sustainable manner.
A smart-contract framework for patient identity management in digital health platforms Cahyo Prihantoro; Dany Candra Febrianto; Maie Istighosah; Ahmad Uffi Lestrasi Ma’ruf; Angger Taufiqur Rohman Winarno; Yudha Islami Sulistya
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 3: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i3.pp1025-1039

Abstract

Asmart-contract framework for patient identity management in digital health platforms. A major gap in current digital health ecosystems is the absence of a portable and verifiable patient identity layer across fragmented electronic health record (EHR) systems. The problem addressed is the lack of a portable, verifiable, and patient-centric identity layer across fragmented electronic health record systems, which weakens access accountability and privacy. The proposed solution couples fast healthcare interoperability resources (FHIR) with self-sovereign identity (SSI), storing FHIR payloads off-chain in the InterPlanetary file system (IPFS) and committing only encrypted pointers and policies on Polygon smart contracts. Patient identifiers and content addresses are protected with AES-256 GCMauthenticated encryption and elliptic-curve key wrapping (ECIES) for both the healthcare administrator and the patient. A web implementation in Next.js using thirdweb automates wallet creation, keystore handling, encryption, and on-chain commits. In evaluation with 50 synthetic registrations, success reached 100 percent, median end-to-end latency was 5.86 seconds, mean on-chain latency 3.77 seconds, average transaction fee 0.0401 POL/MATIC, encryption time 13.9 milliseconds, and all decryptions validated. The results indicate practical feasibility for portable identity and auditable access, with on-chain latency as the main bottleneck to be reduced through batching, cheaper layers, and broader field trials. However, this study is limited because the evaluation uses only synthetic data and singleprovider testing, without real-world patients or multi-institutional environments. Zero-knowledge proofs (ZKP) are discussed conceptually as future integration and are not implemented or benchmarked in this work.
The Effect of Vibe Coding on the Programming Skills of Beginner and Advanced Students at Telkom University Purwokerto Novita Syahwa Tri Hapsari; Rifki Adhitama; Yudha Islami Sulistya
Journal of Software Engineering and Multimedia (JASMED) Vol. 4 No. 1 (2026): Journal of Software Engineering and Multimedia (JASMED)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/jasmed.v4i1.11260

Abstract

The growing use of generative AI has introduced vibe coding as a new programming approach in higher education, but its varying impacts on students’ experience levels have not yet been extensively explored in the Indonesian context. This study investigates whether vibe coding affects programming competencies differently between early-stage and advanced-stage students in the Software Engineering Program at Telkom University Purwokerto. A comparative design with a mixed-methods approach was used, involving 30 respondents: 15 early-stage students (Semester 4) and 15 advanced-stage students (Semester 6). Data were collected via a five-point Likert-scale questionnaire measuring the intensity of vibe coding (Section B) and perceptions of programming competence (Section C), supplemented by a prompt quality rubric validated by faculty members based on a case study of a circular single-linked list. Quantitative analysis employed Spearman’s rank correlation and the Mann-Whitney U test, while qualitative findings from the rubric were triangulated with questionnaire results. The results indicate that advanced-level students have a significantly higher coding vibe intensity (U = 57.5; p = 0.023), while beginner-level students report a significantly higher perceived ability (U = 39.0; p = 0.002). The Spearman test yielded a non-significant negative correlation in both groups, with the final-year group showing a moderate trend (rs = −0.50). No significant differences were found in prompt output quality between groups (U = 92.0; p = 0.400), and triangulation revealed inconsistencies between perceived ability and actual output quality. These findings indicate that vibe coding without structured instructional guidance has the potential to widen the gap between perceived and actual programming competence, underscoring the need for the explicit integration of prompting literacy into the programming curriculum.