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Implementasi Sistem Server Lokal Tanpa Kuota untuk Penyediaan Materi Edukasi di Lingkungan Terbatas Akses Internet pada SMKN 1 Bantan Nur Ilham. A; Agus Tedyyana; Pretti Ristra
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 3 No. 4 (2025): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v3i4.3243

Abstract

Limited internet access in remote areas remains a major obstacle to equitable digital education in Indonesia. This situation significantly impacts student and teacher accessibility to digital learning resources, which are increasingly becoming a necessity in 21st-century learning. One way to address this obstacle is to provide alternative technology infrastructure that does not rely on external internet connections. This study aims to implement and evaluate a local server system without a quota at SMKN 1 Bantan as a solution for providing educational materials in environments with limited network coverage. The local server system is designed to store various learning content, including text, video, and interactive modules, which can then be accessed through the school's internal network. This mechanism allows students and teachers to access materials more quickly and stably, free from quota limitations and dependence on commercial internet networks, which are often slow or unavailable. The implementation results indicate that the local server is able to improve the accessibility and speed of distribution of learning materials. Teachers can easily upload teaching materials, while students can access them anytime through devices connected to the school network. Surveys conducted with students and teachers also indicate a high level of satisfaction with this system. They assessed that local servers facilitated the teaching and learning process, supported student independence, and reduced technical barriers that often arose due to weak internet connections. Furthermore, this study emphasized the importance of utilizing appropriate technology in educational settings in remote areas. Implementing local servers without quotas proved to be a relatively inexpensive, easy-to-manage, and sustainable solution to support equitable digital education.
Perancangan Framework Mitigasi Risiko Pengelolaan Server Menggunakan ISO 27001:2022 (Studi Kasus: Unit KJSI Politeknik Negeri Bengkalis) Rosyidah Rosyidah; Agus Tedyyana; Nurmi Hidayasari
Journal of Accounting Law Communication and Technology Vol. 2 No. 2 (2025): Juli 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jalakotek.v2i2.6820

Abstract

Dengan meningkatnya penggunaan teknologi informasi dan komunikasi (TIK) dalam kegiatan operasional pendidikan, risiko terhadap keamanan informasi, seperti serangan siber dan bencana alam, menjadi semakin signifikan. Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, dan merancang langkah-langkah mitigasi risiko yang sistematis dan terstruktur, guna menjaga integritas, kerahasiaan, dan ketersediaan informasi yang dikelola oleh server. Metode yang digunakan dalam penelitian ini adalah analisis risiko dengan pendekatan FMEA (Failure Mode and Effect Analysis) dan penerapan menggunakan standar ISO 27001:2022. Proses penelitian meliputi identifikasi masalah, studi literatur, identifikasi risiko, analisis risiko, evaluasi risiko, dan perancangan framework mitigasi risiko. Penelitian iniĀ  menunjukkan bahwa terdapat beberapa risiko signifikan yang perlu ditangani, seperti kerusakan fisik pada server dan kegagalan jaringan, yang dapat mempengaruhi operasional unit KJSI. Hasil penelitian ini menghasilkan sebuah perancangan framework mitigasi risiko sebagai kerangka kerja khususnya terkait pengelolaan server pada unit KJSI dengan menggunakan standar ISO 27001:2022. Dengan demikian, penelitian ini memberikan kontribusi penting dalam upaya mitigasi risiko di lingkungan pendidikan tinggi, serta menjadi acuan bagi institusi lain dalam menerapkan standar keamanan informasi yang efektif.
Development and Implementation of a Web-Based Digital Library System (SIPERPUS) at SMKN 1 Bengkalis Agus Tedyyana; Fajar Ratnawati
Vokatek: Jurnal Pengabdian Masyarakat Volume 4: Issue 3 (December 2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatek.v4i3.2185

Abstract

Students at SMKN 1 Bengkalis, a vocational high school in Riau, Indonesia, had no online collection they could open from their own devices, and school staff reported limited access to books and difficulty managing the collection. This community service program adapted PustakaPlus, a digital library built in 2025 by a Politeknik Negeri Bengkalis team for a village in Bengkalis Regency, into SIPERPUS. An audit of PustakaPlus found twelve defects, including media files reachable without login, an insecure direct object reference, unlimited login attempts, and a layout unfit for phones. The program ran in five stages: a needs discussion with the school and a technical audit, design, development with Laravel 13, Inertia.js, Vue 3, and MySQL, testing and deployment to shared cPanel hosting, and a socialization session on 18 September 2026 attended by 16 participants: three library staff members, twelve teachers, and one student representative. All 191 automated tests passed after one outdated test expectation was corrected. On the production server, all 19 routes checked returned the expected pages, media were served through range requests, and requests without login were redirected; Lighthouse gave performance scores of 97 to 99 (largest contentful paint 1.7 to 2.1 s), compared with 64 for PustakaPlus. During hands-on practice, participants found the application flow easy to follow; the main obstacle was that library staff were not yet used to managing data on a computer. No usability or satisfaction instrument was administered, so the results show technical readiness and initial acceptance, not educational effectiveness.
Proxy Dependence in Tabular Deep Learning for Audit-Risk Classification Kasmawi; Mansur; Nurmi Hidayasari; I Gusti Agung Putu Mahendra; Agus Tedyyana
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 4 (2026): December 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i4.14016

Abstract

Purpose: This study examines the performance and validity of tabular deep learning for audit-risk classification by evaluating the sequential effects of parameter-efficient ensembling, piecewise linear embeddings (PLE), and ordinal learning, with particular attention to dependence on target-adjacent audit variables. Design/methods/approach: A synthetic audit-risk dataset was evaluated using repeated nested stratified cross-validation. TabM configurations were compared with conventional machine-learning and neural-network baselines under controlled model selection. Proxy-feature sensitivity analysis was conducted by removing AuditScore, AuditStatus, and RiskFactor, complemented by shallow-tree diagnostics and statistical comparisons. Findings: Parameter-efficient ensembling and PLE produced substantial descriptive improvements under the complete-feature setting, while ordinal learning further reduced ordinal prediction error but was not statistically superior to cross-entropy after multiplicity correction. More importantly, predictive performance deteriorated markedly when target-adjacent audit variables were removed, with all evaluated models approaching baseline-level discrimination. AuditScore emerged as the dominant predictive dependency, followed by AuditStatus, whereas RiskFactor contributed little independent information. Research implications/limitations: The findings demonstrate that strong benchmark performance may depend on proxy variables rather than generalisable audit risk relationships. This study is limited by its synthetic dataset, the unavailability of a target-generation mechanism, and the absence of external or prospective validation. Originality/value: This study reframes high-performing audit-risk classification as a benchmark-validity problem and demonstrates the importance of examining proxy dependence, predictor availability, and target provenance before translating predictive performance into practical audit decision-making support.