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All Journal Journal of Information Systems and Informatics eProceedings of Applied Science
Fakhurroja, Hanif
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Implementing IT-Based Succession Planning in University IT Units: Enhancing Operational Continuity Yualinda, Sherla; Adi, Taufik Nur; Fakhurroja, Hanif; Yualinda, Sherli
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1023

Abstract

One of the accredited universities in Indonesia is committed to quality education through the use of information technology. However, the university's IT unit often experiences vacancies in key positions due to high employee turnover, which impacts workload and business processes, especially in handling Request for Change (RFC). While application X supports performance appraisals, it has not been optimized for succession planning. This study explores the potential of application X as a tool for succession planning by integrating the Rothwell and Integrated Talent Management models. The design includes identifying key positions, assessing candidate competencies, preparing development plans, and establishing a structured knowledge transfer system to sustain organizational leadership. Additionally, integrating Large Language Models (LLMs) like ChatGPT is expected to enhance assessment objectivity, provide individual development recommendations, and ensure a more effective leadership transition. The system's role in improving assessment objectivity is vital for unbiased, data-driven decisions, while its contribution to leadership transitions ensures a smoother, more systematic process for maintaining leadership continuity. With features such as candidate search and staff assessment, the system is expected to help organizations select the right replacement and maintain university operations.
Developing an IT-Based Knowledge Sharing System for University IT Units: Integrating Large Model Language Yualinda, Sherli; Adi, Taufik Nur; Fakhurroja, Hanif; Yualinda, Sherla
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1024

Abstract

Information technology companies in Indonesia face the challenge of high employee turnover, which leads to the loss of important knowledge and has an impact on productivity and innovation. This research aims to develop conceptual knowledge sharing and knowledge sharing systems in university IT units, which do not yet have an integrated system for documenting knowledge. Observations show that the ticketing system used can be optimized as a long-term knowledge sharing platform. The designed model includes strengthening the culture of sharing, utilizing social networks within the organization, applying information technology, reward systems, and the SECI model approach. In addition to knowledge repository features, role systems, documentation automation, search, and collaboration modules, the integration of Large Language Models (LLM) such as ChatGPT is expected to improve information search, documentation automation. LLMs play a crucial role in enhancing user interactions by enabling natural language queries, improving search accuracy, and automating knowledge classification. Moreover, they facilitate knowledge extraction from unstructured data, assist in summarizing key insights, and provide adaptive learning capabilities. By leveraging LLMs, the system can increase efficiency, reduce the time required to find relevant information, and ensure knowledge continuity within the organization.
Pengembangan Sistem Pemantauan Kualitas Udara Berbasis Website Monitoring Ahmad, Dzaky; Aulia, Suci; Fakhurroja, Hanif
eProceedings of Applied Science Vol. 11 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kualitas udara yang buruk telah menjadi ancaman nyata bagi kesehatan masyarakat dan kelestarian lingkungan, memicu kebutuhan mendesak akan data pemantauan yang akurat dan mudah diakses. Menjawab tantangan tersebut, penelitian ini mengembangkan sebuah sistem pemantauan kualitas udara yang mengintegrasikan teknologi Internet of Things (IoT) secara menyeluruh. Sebuah perangkat prototipe yang dilengkapi lima sensor krusial—termasuk pendeteksi Karbon Dioksida (CO₂) dan Amonia (NH₃)—ditempatkan untuk mengumpulkan data lingkungan secara kontinu. Data mentah ini kemudian ditransmisikan menggunakan teknologi nirkabel LoRa yang hemat daya ke platform Antares untuk pengumpulan terpusat. Dari sana, informasi diolah dan diarsipkan ke dalam basis data MySQL, menciptakan catatan historis yang berharga. Agar data ini bermanfaat bagi publik, sebuah dasbor visual berbasis web dibangun menggunakan framework Laravel. Situs ini di-hosting secara daring, memungkinkan siapa saja untuk melihat kondisi udara terkini secara transparan. Pengujian sistem di lapangan menunjukkan keberhasilan fungsional yang signifikan. Sistem terbukti mampu menyajikan data secara real-time, dengan hasil pengukuran spesifik menunjukkan Suhu 27.6°C, Kelembapan 59%, CO₂ 559.22 ppm, dan NH₃ 23.88 ppm. Seluruh nilai ini berada dalam ambang batas "Aman" sesuai standar acuan, mengonfirmasi kemampuan sistem untuk tidak hanya mengukur tetapi juga memberikan klasifikasi status. Kemampuan pelacakan lokasi perangkat juga terverifikasi, dengan sistem berhasil memetakan posisinya secara presisi di Telkom University (koordinat -6.977643, 107.632101). Prototipe ini membuktikan bahwa integrasi teknologi yang ada dapat menghasilkan solusi pemantauan kualitas udara yang efektif, terjangkau, dan siap diakses oleh masyarakat luas. Kata Kunci: Pemantauan Kualitas Udara, Internet of Things (IoT), Hosting,Antares, Laravel, phpMyAdmin.
Co-Authors Ahmad, Dzaky Taufik Nur Adi Yualinda, Sherla Yualinda, Sherli