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Agus Priyadi
Staf Pegawai Balai Penelitan dan Pengembangan Budidaya Ikan Hias (BPPBIH) Depok
Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Perancangan Sistem Informasi Pos Untuk Toko Devanda Dengan Basis Client Server Priyadi, Priyadi; Priyadi, Agus; Santoso, Lukman; Ati Suryana, Dinda
Journal Islamic Global Network for Information Technology and Entrepreneurship Vol. 2 No. 1 (2024): January : Journal Islamic Global Network for Information Technology and Entrepr
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/ignite.v2i1.889

Abstract

This research begins with data collection through a combination of interview, observation, and literature study techniques. The problem analysis found was the slow sales service and purchase process at the store. The further impact is customer disappointment and the use of more time and energy resources. The solution offered in this research is the design of a computer-based information system that integrates workflow and optimal utilization of client server-based computer technology. The analysis in this study is presented in the form of a flowchart of the new system to be developed and analysis of the data structure using the Entity Relationship Diagram technique. Then the design results are presented in the form of a representative form design with workflow analysis described in the analysis and deployment diagram that illustrates how the system will be distributed with a client server computer technology approach. In conclusion, it is explained that the new system proposed in this design has been successfully presented logically, systematically, and easily developed into an integrative and systematic software project.
AI-Generated Narratives and Infographic Synthesis for Visualizing Climate Temperature Anomalies Yayah Durrotun Nihayah, Azed; Priyadi, Agus; Yunianto, Irdha; Fitro Nur Hakim; Wiwid Wahyudi; Nafeeza, Nafeeza
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.7060

Abstract

Communicating long-term climate trends to non-specialist audiences remains a persistent challenge, despite the availability of well-validated global temperature datasets. While existing climate visualizations and reports provide accurate information, they often rely on expert-driven interpretations or static representations that limit accessibility and scalability. This study presents a proof-of-concept system that integrates analytical processing, rule-based narrative generation, and infographic synthesis to transform structured climate data into coherent public-facing communication artifacts. The proposed framework uses the NASA GISTEMP v4 dataset, covering annual global temperature anomalies from 1880 to 2024. It applies linear trend estimation and deterministic anomaly highlighting to extract salient temporal patterns. These analytical outputs are then translated into traceable natural language summaries and integrated with visual encodings within a single reproducible pipeline. The results confirm a persistent long-term warming trend, with several recent years exceeding high-anomaly thresholds, and demonstrate that analytical values, narrative descriptions, and visual emphasis can be generated consistently from a shared data source. Rather than introducing new climate indicators or predictive models, this study’s contribution lies in system-level integration: coupling data analysis, narrative synthesis, and visual composition into a unified, communication-oriented workflow. The framework is explicitly positioned as a proof of concept and does not claim causal attribution or empirical validation of user impact. Nonetheless, it demonstrates how transparent automation can reduce reliance on expert mediation while preserving scientific fidelity, supporting scalable climate communication systems.
Co-Authors Agung Dwiyanto Ahmad Zainudin Andik Prakasa Hadi Andrianika, Siska Ati Suryana, Dinda Daniel Rudjiono Daulay , Anny Sartika Fitro Nur Hakim Harun , Fatur Rahman Ichsan Nusapati, Achmad Indriastjario Indriastjario Intan Rahmawati Jin, Kim So Kukuh Nirmala Lafira, Lafira Lukman Santoso Nafeeza, Nafeeza Priyadi Priyadi Raden Mohamad Herdian Bhakti Ramlan, H. Ridwanto Ridwanto Rizky Armansyah Slamet, Ayyub Hamdanu Budi Nurmana Mulyana Supardi Supardi Supriadi, Candra Thaufik Oktodila, Hasbi Wahyudi , Wiwid Wiwid Wahyudi Yayah Durrotun Nihayah, Azed Yunianto, Irdha