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Design of a Web-Based E-Archive Information System for Project Report Documents at BPJN Aceh Nurrizqa Nurrizqa; Nurrisma Nurrisma; Anni Zulfia; Annisa Karima; Muhammad Ghifari Al-Wafi
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 2 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2026 (In Press)
Publisher : Universitas Malikussaleh

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

Abstract

Digital transformation in governance is driving the urgent need for a more modern and structured archive management system. The Aceh National Road Implementation Center (BPJN), especially the PPK 2.5 Subfield, still relies on conventional methods based on physical documents in managing project report archives, causing various problems such as difficulty tracing documents, risk of damage, and operational inefficiencies. Different from previous e-archive research which is generally applied to academic environments or general public services, this study presents the integration of the RAD method with the design of interfaces based on the needs of multi-role users in the context of managing technical reports of infrastructure projects in government agencies, a context that has not been widely studied in previous studies. This research aims to design an effective web-based e-archive information system equipped with an interactive user interface to increase the productivity of internal employees. The system development uses the Rapid Application Development (RAD) approach with the PHP programming language and MySQL database, and is built using the CodeIgniter framework with the Model-View-Controller (MVC) architecture. Data collection was carried out through field observation and structured interviews, while system validation used the black-box testing method. All 15 functional test scenarios were declared successful. A Likert scale user satisfaction evaluation involving three internal respondents showed a satisfaction rate of 86.7%, which falls into the excellent category.  The evaluation includes five aspects, namely ease of navigation, clarity of view, system response, design consistency, and general satisfaction, which are the basis for calculating the percentage. Given the limited number of respondents, further research is recommended to expand the number of samples and apply standard usability instruments such as the System Usability Scale (SUS) to strengthen the validity of the evaluation results. In addition, this study has not included comparative quantitative data before and after the implementation of the system, such as the measurement of document search time or the rate of archive loss in the manual mechanism compared to the new system, so the amount of efficiency improvement cannot be measured verified. System functionality validation also includes black-box testing, without additional testing such as stress testing, performance testing, or security testing, so the strength of the evidence for efficiency improvement claims is still limited and indicative. The developed system contains the features of uploading documents, searching archives, downloading reports, and managing user access rights. Although initial results show positive indications of system functionality and user satisfaction, the strength of the evidence for claims of improved archive management efficiency is still limited given the lack of comparative quantitative data before and after implementation and the new testing scope including black-box testing. The developed system still shows initial feasibility to be implemented gradually within BPJN Aceh, with a more comprehensive follow-up evaluation.
Klasifikasi Named Entity Recognition (NER) Pada Cerita Pendek Bahasa Indonesia Menggunakan Model Indobert Nazifa Samsurizal; Hendri Ahmadian; Nurrizqa Nurrizqa
Progresif: Jurnal Ilmiah Komputer Vol. 22 No. 3 (2026): Juli
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i3.3731

Abstract

Entity recognition in Indonesian short stories requires a model capable of understanding narrative language context effectively. This study aimed to implement the IndoBERT model for the Named Entity Recognition (NER) task to identify Person, Location, and Organization entities. The dataset was obtained from the Majalah Bobo e-book and organized using the BIO (Begin, Inside, Outside) format. The research included pre-processing, tokenization, label encoding, token alignment, and fine-tuning using the AutoModelForTokenClassification model. Evaluation was conducted using precision, recall, and F1-score metrics. The results showed that IndoBERT achieved F1-scores of 0.95 for Person, 0.81 for Organization, and 0.75 for Location, with a weighted average F1-score of 0.90. These results indicated that IndoBERT performed entity recognition effectively on Indonesian short stories. Keywords: Named Entity Recognition; IndoBERT; Indonesian short stories; Natural Language Processing; Transformer.    Abstrak Pengenalan entitas pada cerita pendek bahasa Indonesia memerlukan model yang mampu memahami konteks bahasa naratif secara efektif. Penelitian ini bertujuan menerapkan model IndoBERT pada tugas Named Entity Recognition (NER) untuk mengenali entitas Person, Location, dan Organization. Dataset diperoleh dari e-book Majalah Bobo dan disusun menggunakan format BIO (Begin, Inside, Outside). Penelitian dilakukan melalui tahapan pre-processing, tokenisasi, label encoding, token alignment, dan fine-tuning menggunakan model AutoModelForTokenClassification. Evaluasi dilakukan menggunakan metrik precision, recall, dan F1-score. Hasil pengujian menunjukkan bahwa model IndoBERT memperoleh nilai F1-score sebesar 0.95 pada label Person, 0.81 pada Organization, dan 0.75 pada Location, dengan weighted average F1-score sebesar 0.90. Hasil tersebut menunjukkan bahwa IndoBERT mampu melakukan pengenalan entitas dengan baik pada cerita pendek bahasa Indonesia. Kata kunci: Named Entity Recognition; IndoBERT; cerita pendek bahasa Indonesia; Natural Language Processing; Transformer.