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PEMODELAN 3D SEBAGAI BENTUK IMPLEMENTASI BUILDING INFORMATION MODELING (BIM) PADA PROYEK KONSTRUKSI JEMBATAN Winanda, Lila Ayu Ratna; Putri, Khoyru Nisya Salsabila; Manaha, Yosimson Petrus; Yudianto, Eri Andrian
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol. 13 No. 1 (2026): Januari
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ze02td83

Abstract

Penerapan Building Information Modeling (BIM) dalam proyek infrastruktur telah menjadi pendekatan yang semakin penting untuk meningkatkan efektivitas perencanaan, pelaksanaan, dan pengendalian konstruksi. Penelitian ini bertujuan untuk menganalisis implementasi BIM menggunakan perangkat lunak Tekla Structures pada proses pengendalian proyek pembangunan jembatan. Metode penelitian yang digunakan adalah studi kasus dengan memanfaatkan data sekunder berupa dokumen as-built drawing, shop drawing, serta data pendukung dari pihak kontraktor. Analisis dilakukan dengan pemodelan menggunakan  alat bantu software Tekla Structures untuk menghasilkan model 3D dan output berupa volume atau hasil quantity takeoff. Hasil penelitian menunjukkan bahwa penggunaan BIM mampu meningkatkan akurasi gambar kerja, serta mendukung proses pengendalian waktu dan biaya secara lebih efektif dibandingkan metode konvensional. Hasil pemodelan menunjukkan 3D model telah memberikan output volume sebesar 274,1 m3 untuk beton dan untuk pembesian 24.343,4 kg  yang menunjukkan bahwa software Tekla Structures efektif digunakan sebagai alat pendukung manajemen konstruksi jembatan, khususnya dalam meningkatkan koordinasi, visualisasi, dan pengendalian mutu di lapangan.
IMPLEMENTASI BUILDING INFORMATION MODELING (BIM) PADA KONSTRUKSI TRESTLE DERMAGA Winanda, Lila Ayu Ratna; Setiawati, Naffa Eka; Manaha, Yosimson Petrus; Mundra, I Wayan; Ma’ruf, Annur
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol. 13 No. 1 (2026): Januari
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ptywjy72

Abstract

Industri konstruksi di Indonesia hingga saat ini masih didominasi oleh metode konvensional dalam perencanaan dan pengelolaan biaya proyek, khususnya pada tahap perhitungan volume dan estimasi anggaran yang berbasis gambar dua dimensi dan perhitungan manual. Seiring dengan Revolusi Industri 5.0, penerapan Building Information Modeling (BIM) menjadi solusi untuk meningkatkan efisiensi, akurasi, dan transparansi dalam manajemen konstruksi. Tujuan penelitian ini adalah memodelkan 3D pada pembangunan yang ditinjau untuk efektifitas pengendalian volume secara presisi. Penelitian ini menerapkan BIM dan menggunakan alat bantu software Autodesk Revit 2024 untuk menghitung volume secara terintegrasi. Hasil penelitian menunjukkan bahwa implementasi BIM sampai level 3D menghasilkan output berupa volume pekerjaan pengecoran sebesar: 2.201m3 dan pekerjaan pembesian sebesar: 341.754kg perhitungan volume yang lebih akurat karena kuantitas diperoleh langsung dari model 3D serta mampu memperbarui volume secara real-time ketika desain dirubah, sehingga meningkatkan efisiensi estimasi dan mengurangi risiko deviasi anggaran yang disebabkan oleh perubahan desain. Hasil pada software Autodesk Revit menunjukkan bahwa 4,41% lebih efektif daripada metode konvensional.
Penerapan Metode Building Information Modeling (BIM) 5D dalam Pembangunan Rumah Tinggal Agustin, Bintang Fajar; Hendriyani, Irna; Devi, Suheria Mulia
Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil Vol. 10 No. 1 (2026)
Publisher : Universitas Ibn Khaldun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/komposit.v10i1.19121

Abstract

Technological advances in the construction world are beneficial, among others, to support modeling, planning, cost estimation, mass changes, building continuity, and building management. A technology that is widely used in the construction industry is Building Information Modeling (BIM). Accuracy in estimating construction costs is necessary to achieve an effective value during the planning process. Budgeting for development projects still uses traditional methods for much better results. Therefore, this study uses the concept of 5D dimensional BIM to analyze the volume and cost using the concept (BIM) with conventional methods on the work of the 2-story structure of a type 170 house in Balikpapan City. The results of the research on the construction structure of a 2-story home in the city of Balikpapan using the 5D BIM concept with a concrete volume of 2661.69 kg for Rp 46,812,00389.24 and a concrete volume of 27.13 m3 for Rp 56,203,185.16. The difference in iron volume is 19.52%. Meanwhile, the difference in concrete volume is 15.60%, which means that the calculation using the 5D Building Information Modeling (BIM) concept supported by Autodesk Revit software is lower than planned.
Application of Named Entity Recognition (NER) in Job Vacancy Matching Using an Ontology-Based Approach (Case Study: Information Technology Sector) Hodijah, ade
Media Jurnal Informatika Vol 17, No 2 (2025): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i2.5675

Abstract

The dissemination of job vacancies through online platforms still faces limitations in understanding the semantic relationships between the skills possessed by job seekers and the qualifications required by a job position. This mismatch results in an inefficient search process and longer search times. This study aims to develop a semantic-based job vacancy recommendation application (talent matching) using a skill ontology approach. One of the main challenges in developing the ontology is the lack of standardized data structures in job vacancy postings, particularly in the job description section. To address this issue, Named Entity Recognition (NER) techniques are applied to automatically extract skill entities from job description texts. The extracted results are then classified into a taxonomy structure using SkillsGPT, thereby forming a hierarchical skill concept model semantically represented within the ontology using Protégé. The matching process between user skills and job qualifications is conducted through semantic similarity calculations employing the Sánchez Similarity method. Job vacancy data are collected via web scraping, while system development follows the Rational Unified Process (RUP) methodology and is evaluated using Black Box testing. Evaluation results demonstrate that the developed system is capable of providing semantically relevant job vacancy recommendations according to the user's skill profile. Therefore, this study contributes both theoretically and practically to the development of ontology-based recommendation systems, particularly in the automated modeling of skill taxonomies from unstructured data.
Development of Kita Kompeten Website as Information Media and Digital Workforce Training Registration Triyanto, Fajar Akhmad; Monica, Syalsabila Tia
Applied Business and Administration Journal Vol. 5 No. 1 (2026): The Effectiveness of Implementing Information Systems in Enhancing Accountabili
Publisher : Ebiz Prima Nusa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62201/abaj.v5i1.377

Abstract

In the era of digital transformation, vocational training institutions need professional online communication media to expand access, increase information transparency, and strengthen organizational image. This research aims to design and develop the official website of Kita Kompeten as the main platform for delivering training information, participant registration, and strengthening public trust. The website is designed using WordPress CMS with a page structure including: homepage, login/register, class catalog, partners, and institution information page. Development was conducted using the Waterfall model approach which includes the following stages: needs analysis, design, implementation, testing, and maintenance. Visual data and feature documentation are shown as evidence of responsive and functional system implementation. The final results show that the website is able to fulfill the function as a digital information center, facilitate the registration process, display training catalogs, and strengthen institutional communication. This website is expected to be the initial model of digitalization of competency-based training institutions.
THE ROLE OF FINANCIAL INFORMATION SYSTEMS, INTERNAL AUDIT, AND INVESTIGATIVE AUDIT IN ENHANCING PUBLIC SECTOR FINANCIAL ACCOUNTABILITY: SYSTEMATIC LITERATURE REVIEW Nurul Azizah Tamang; Arifuddin; Syarifuddin
International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Vol. 4 No. 1 (2026): February
Publisher : ZILLZELL MEDIA PRIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61990/ijamesc.v4i1.690

Abstract

Public sector financial management demands transparency and accountability to realize good governance. However, challenges such as limited human resource competence, weak internal control, and fraud risks remain obstacles in the preparation of government financial statements. This study aims to review the role of financial information systems, internal audit, and investigative audit in enhancing public sector financial accountability. The method used is a Systematic Literature Review (SLR) by analyzing 20 articles published between 2021–2025, consisting of national and international literature selected through databases such as Scopus, Web of Science, EBSCO, Google Scholar, and Portal Garuda. The results show that financial information systems, particularly the implementation of SAKTI, serve as the technical foundation of transparency, but their effectiveness highly depends on user competence and organizational support. Internal audit, through the role of APIP/BPKP, functions as a preventive control mechanism that requires independence and institutional support. Meanwhile, investigative audit functions as a reactive protection instrument against fraud, in which the competence and experience of forensic auditors are dominant factors. The synthesis of the literature confirms that the synergy of these three aspects strengthens public financial accountability while supporting the implementation of good governance principles in state financial management.
Penerapan Deep Learning untuk Pengenalan Aktivitas Manusia Secara Non-Intrusif Menggunakan Wi-Fi Channel State Information Reza Pahlevi; Ervin Yohannes
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 4 No. 1 (2026): Januari: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v4i1.818

Abstract

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.
Effect of Foreign Ownership, Audit Committees, Leverage, And Information Asymmetry on Earnings Management with ESG Disclosures as a Moderating Variable Vinola Herawaty; Faisal Reza Mahendra
Integrated Journal of Business and Economics (IJBE) Vol 10, No 1 (2026): Integrated Journal of Business and Economics
Publisher : Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ijbe.v10i1.1261

Abstract

This study explores the influence of foreign ownership, audit committee presence, leverage, and information asymmetry on earnings management, with Environmental, Social, and Governance (ESG) disclosure considered as a moderating variable and firm size treated as a control variable. The analysis utilized panel data regression, drawing from a sample of companies listed on the main board of the Indonesia Stock Exchange (IDX) between 2020 and 2023. A purposive sampling method was applied, and outlier cases were excluded, resulting in 115 valid observations. The results indicate that information asymmetry has a significant positive relationship with earnings management. However, this relationship is weakened when moderated by ESG disclosure. In contrast, foreign ownership, audit committee composition, leverage, and standalone ESG disclosure show no significant individual impact on earnings management. Moreover, ESG disclosure does not serve as a mediating factor between foreign ownership, audit committee presence, or leverage and earnings management. These findings highlight the critical role of ESG transparency in curbing earnings management practices that may be detrimental to stakeholder interests.
Analysis Efficiency and Accuracy of Company Financial Reports Regarding the Digital Transformation of Accounting Information Systems Ninuk Riesmiyantiningtias; Hidayat, Rachmat
JABI (Jurnal Akuntansi Berkelanjutan Indonesia) Vol. 9 No. 1 (2026): JABI (JURNAL AKUNTANSI BERKELANJUTAN INDONESIA)
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/JABI.v9i1.y2026.p71-81

Abstract

This study aims to analyse the impact of digital transformation on Accounting Information Systems (AIS) on the efficiency and accuracy of corporate financial reporting. The background to this study is the phenomenon that many medium-sized companies in Indonesia still face obstacles in implementing digital systems optimally. Using a quantitative approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from 125 respondents, consisting of accounting staff, finance managers, and IT staff directly involved in the reporting process. Data analysis was performed using SmartPLS 4.0 software. The results showed that digital transformation had a positive and significant effect on Mediasi (intervening) (path coefficient = 0.452) and reporting accuracy (path coefficient = 0.318). Furthermore, efficiency was also found to mediate the effect of digital transformation on reporting accuracy. These findings confirm the important role of digital transformation in improving the overall quality of financial information.
Evaluasi Keamanan Sistem Informasi Website Lembaga XYZ Menggunakan Metode Penetration Testing: Security Evaluation of Information Systems on The XYZ Institution's Website Using Penetration Testing Method Andita, Rizky Arya; Nasrullah, Muhamad; Alhari, Muhammad Ilham
Jurnal Sistem Informasi dan Bisnis Cerdas Vol. 19 No. 1 (2026): Februari 2026
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

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

Abstract

Website lembaga XYZ menjadi sumber informasi resmi terkait berbagai agenda dan kegiatan, serta menyimpan data pribadi seperti email, no telpon dan KTP. Untuk mencegah manipulasi data dan eksploitasi dari serangan siber yang dapat merusak reputasi lembaga, maka diperlukan pendekatan sistematis untuk menjaga keamanan sistem informasi agar tetap andal dalam menghadapi ancaman keamanan siber. Salah satu metode yang digunakan untuk mengidentifikasi kerentanan pada sistem situs web adalah pengujian penetrasi. Penelitian ini menggunakan metode analisis keamanan berdasarkan OWASP Top 10 2021. Tujuan penelitian adalah mengevaluasi kemungkinan kerentanan keamanan dalam sistem informasi website lembaga publik tersebut. Proses penelitian melibatkan beberapa tahapan, seperti studi literatur, planning, information gathering, vulnerability scanning, attacking, dan report. Hasil penelitian ini berupa rekomendasi perbaikan yang diharapkan dapat diimplementasikan untuk mengurangi potensi risiko serangan siber serta menjaga kepercayaan dan reputasi institusi sebagai penyedia layanan informasi yang aman.

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