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Journal : JITU : Journal Informatic Technology And Communication

Pemanfaatan Analisis Biaya dan Manfaat untuk Penentuan Kelayakan Investasi Teknologi Informasi Adnan, Andhika; Ndaumanu, Ricky Imanuel; Ta, Suprianus Pian; Tjiptabudi, Fransiskus Mario Hartono
JITU Vol 9 No 1 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i1.1788

Abstract

Investasi teknologi informasi (TI) menjadi salah satu strategi penting dalam meningkatkan efisiensi dan efektivitas operasional di berbagai sektor, termasuk di sektor pendidikan. Penelitian ini bertujuan untuk menganalisis kelayakan investasi pengembangan dan penerapan sistem e-learning di SMAN 01 Sanggau menggunakan metode Cost Benefit Analysis (CBA). Metode ini membandingkan total biaya yang dikeluarkan dengan besarnya manfaat yang diperoleh, baik manfaat berwujud (tangible) maupun tidak berwujud (intangible). Data diperoleh melalui berbagai metode yakni observasi, wawancara, dokumentasi, serta studi literatur. Hasil penelitian menunjukkan bahwa pengembangan dan penerapan sistem e-learning memberikan berbagai manfaat signifikan, seperti penghematan biaya operasional (ATK, percetakan, pelatihan guru), efisiensi waktu administratif hingga 75%, serta peningkatan efektivitas proses pembelajaran. Selain itu, manfaat tidak berwujud meliputi peningkatan kualitas pendidikan, aksesibilitas materi pembelajaran, dan interaksi antara guru, siswa dan orang tua menjadi lebih efektif. Analisis keuangan menggunakan indikator seperti Net Present Value (NPV), Return on Investment (ROI), dan Payback Period (PP) menunjukkan bahwa investasi ini layak dieksekusi karena manfaat yang diperoleh melebihi biaya yang dikeluarkan.
Analisis Kegunaan Website Penerimaan Mahasiswa Baru Menggunakan Metode System Usability Scale Adnan, Andhika
JITU Vol 9 No 2 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i2.2088

Abstract

Advances in information technology have prompted universities to utilise digital systems in administrative processes, including the admission of new students (PMB). Universitas Widya Dharma Pontianak has developed a PMB website as an online registration tool, but no systematic evaluation of its usability has been conducted. This study aims to analyse the usability of the PMB website using the System Usability Scale (SUS) method. The study employs a quantitative approach, distributing SUS questionnaires to 294 respondents selected via simple random sampling from a total population of 1,102 prospective new students for the 2025/2026 academic year. Data were analysed by calculating each respondent's SUS score, then determining the overall average score and its interpretation based on SUS standards. The results showed that the PMB website achieved an average score of 93, which falls into the “A” grade category, an “acceptable” acceptance level, and an “excellent” adjective rating. These findings indicate that the PMB website has a very high level of usability, is easy to use, and provides high satisfaction for users. However, the study also recommends further development regarding improved accessibility and interactive features to support a broader user experience.
Teori Graf Diskrit untuk Deteksi Intrusi dan Optimasi Firewall: Systematic Literature Review Adnan, Andhika; Tjiptabudi, Fransiskus Mario Hartono; Ndaumanu, Ricky Imanuel; Malelak, Yohanis
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2306

Abstract

The escalating complexity of computer networks and cybersecurity threats demand analytical approaches capable of systematically and measurably representing network structure. Discrete mathematical graph theory offers a formal framework for modeling network topology as nodes and edges, thus potentially supporting more effective intrusion detection and firewall placement optimization. This research aims to conduct a Systematic Literature Review of publications from 2022–2026 to identify graph theory applications in intrusion detection, evaluate the most effective graph-based firewall optimization methods, and map research gaps and future development trends. The methodology employed follows the SLR protocol with stages of systematic search across reputable databases, selection based on inclusion-exclusion criteria, and analysis through descriptive-comparative meta-analysis, thematic meta-synthesis, and content analysis. Results show the dominance of weighted graphs and structure-based learning approaches for network anomaly detection, as well as firewall optimization modeling through integer linear programming and graph heuristics. This research contributes to presenting an integrated synthesis between intrusion detection and firewall optimization within discrete graph framework, and provides conceptual foundation for developing adaptive network security models based on mathematical structure.