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All Journal Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Basement : Jurnal Teknik Sipil Prosiding Seminar Nasional Ilmu Teknik
Muhammad Wardani
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering

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Redesain Jalan Akses Dermaga IHM Dengan Implementasi Building Information Modelling Muhammad Wardani; Almuntofa Purwantoro
Jurnal Basement : Jurnal Teknik Sipil Vol. 2 No. 1 (2024): Jurnal Basement : Jurnal Teknik Sipil
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/basement.v2i1.12715

Abstract

The rapid development of Indonesian construction, especially in the capital city of the Nusantara, which is undergoing intense development, requires all parties involved to work effectively and efficiently. A method is needed to face these challenges. The BIM method is considered superior in terms of effectiveness and efficiency compared to conventional methods. In the PT ITCI Hutani Manunggal dock access road construction package, the planning is still using conventional methods. So that the package is re-planned by implementing BIM. This research aims to redesign the horizontal and vertical alignment planning of roads located in Penajam Paser Utara Regency with the implementation of Building Information Modeling. In the research process, the data analysis technique uses the BIM method which consists of 4 stages, namely modeling of plan traces and profiles, horizontal alignment redesign, vertical alignment redesign, and 3D BIM visualization. This research uses secondary data, namely detailed engineering design drawings and lidar contours. The redesign results obtained 27 Intersect Points and 72 Vertical Intersect Points made road geometric adjustments in order to meet the minimum permitted standards. The implementation of BIM provides a clear initial picture of the form of road infrastructure that is built in an integrated manner.
Evaluasi Perbandingan Laravel Blade dan Livewire pada Sistem Presensi Akademik Ali Sadikin; Abdul Rahim; Muhammad Wardani; Irawan Irawan
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.79

Abstract

The increasing demand for interactive web applications has encouraged the adoption of server-driven approaches such as Livewire as an alternative to building Single Page Applications (SPAs) without complex client-side JavaScript. However, the performance implications of this approach compared to conventional methods remain insufficiently explored. This study presents an empirical comparison between Laravel Blade with AJAX and Livewire in an academic attendance system scenario. Performance evaluation was conducted using k6 on the same web server, complemented by manual browser-based testing to observe actual communication patterns. The results indicate that Livewire exhibits approximately 2.7× higher average response time and up to 6× greater bandwidth consumption than Laravel Blade, primarily due to its snapshot mechanism and state synchronization process. Conversely, Livewire demonstrates better stability, reflected by lower maximum response times and a 0% error rate. These findings highlight a clear trade-off between resource efficiency and development convenience, where Livewire favors stability and developer productivity, while Laravel Blade provides superior efficiency in terms of latency and bandwidth usage.
Comparative Analysis of BiLSTM, CRF, and BiLSTM-CRF Models On Clinical Named Entity Recognition Tasks Using the NCBI Disease Corpus Dataset Agus Siswanto; Yulia Arvita; Muhammad Wardani; Febri
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 6 No 2 (2026): JMS Vol 6 No 2 September 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2026.6.2.2928

Abstract

Biomedical Named Entity Recognition (NER) plays an important role in Clinical Natural Language Processing by enabling the automatic extraction of disease-related entities from medical text. This study compares the performance and stability of three sequence labeling approaches: Conditional Random Field (CRF), Bidirectional Long Short-Term Memory (BiLSTM), and BiLSTM-CRF. Experiments were conducted using the NCBI Disease Corpus, comprising 5,392 training instances, 918 validation instances, and 937 test instances, with a class imbalance ratio of 11.06:1. Each model employed 200-dimensional GloVe word embeddings, which achieved 78.2% vocabulary coverage. To assess the consistency of model performance, experiments were repeated across five different random seed configurations. The results demonstrate that BiLSTM-CRF achieved the highest F1-score of 78.86% (±0.34%), outperforming CRF at 78.49% and BiLSTM at 76.73% (±0.86%). Compared with BiLSTM, the hybrid model improved the F1-score by 2.13 percentage points, while its improvement over CRF reached 0.38 percentage points. BiLSTM-CRF also exhibited the most stable performance, as reflected by its lower standard deviation. Learning curve analysis further showed that BiLSTM-CRF consistently surpassed the other approaches after utilizing 40% of the training data. These findings suggest that combining BiLSTM's contextual representation capability with CRF-based sequence dependency modeling provides a more effective and stable approach for disease entity recognition in biomedical text..
Co-Authors Abdul Rahim Agus Siswanto Ali Sadikin Almuntofa Purwantoro Febri Irawan Irawan Yulia Arvita