DIMENSI (Journal of Architecture and Built Environment)
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The Impact of Organizational Readiness on Financial and Project Performance from the Employee's Perspective: A Case Study
No full textThe COVID-19 pandemic forced non-essential sectors to limit operations, leading to financial decline. Organizational readiness to adopt digital technology has become critical for firms' survival. However, limited empirical research has explored the correlation between organizational readiness, financial performance, and project performance. This study aims to address this gap by examining these relationships. Using a quantitative approach, this study employed non-probability purposive sampling, collecting 85 data points between December 27, 2021, and January 27, 2022. A total of 30 indicators were used to measure five research constructs, and the data were analyzed using the PLS-SEM method with SmartPLS software. The findings indicate that organizational readiness positively influences project performance through the mediating effect of organizational capabilities, specifically dynamic capabilities and project management capabilities. Both dynamic capabilities and project management capabilities positively affect project performance. Additionally, the study reveals a positive correlation between project performance and financial performance. However, dynamic capabilities do not significantly impact project management capabilities. This study suggests that top management should optimize the utilization of existing assets, enhance technical capabilities, align resources with strategic objectives, foster innovation, secure organizational support, cultivate an innovative work environment, and maintain a clear business vision
Voluntary Adoption of Integrated Reporting and Firm Valuation: The Moderating Effect of ESG Performance
No full textThis study addresses a research gap by examining the impact of the voluntary adoption of integrated reporting on company value (TOBINSQ) for companies listed on the Indonesian Stock Exchange. A purposive sampling method was used to select the sample, which included companies with available ESG scores from 2018 to 2022 and accessible annual reports for the same period. The final sample consists of 83 companies, totalling 299 observations. Multiple regression analysis was employed to assess the direct effects of integrated reporting and the moderating role of ESG performance (ESGSCORE) on company value. Our findings reveal that integrated reporting positively influences company value and that ESG performance significantly moderates this relationship, enhancing the benefits of integrated reporting. The results underscore the importance for companies to adopt integrated reporting and enhance ESG performance to improve market valuation. The study also suggests that promoting integrated reporting and ESG disclosures can enhance market transparency and accountability. Future research should focus on longitudinal studies, sector-specific analyses, geographical variations, and the role of digital technologies in integrated reporting and ESG performance to provide deeper insights and practical recommendations
Pola Komunikasi Antara Orang Tua dan Siswa Setelah Diterapkannya Pembelajaran Jarak Jauh (PJJ) Saat Pandemi COVID-19
No full textPembelajaran jarak jauh (PJJ) menjadi solusi yang ditetapkan oleh pemerintah berdasarkan Surat Edaran Nomor 4 Tahun 2020 tentang pelaksanaan pendidikan dalam masa darurat sebagai alternatif dalam dunia pendidikan demi mengurangi penyebaran COVID-19. Pembelajaran jarak jauh ini membuat orang tua dan anak semakin sering berinteraksi karena menjadi sering bertemu di rumah. Siswa melakukan pembelajaran secara daring dan kehilangan waktu intens bersama para guru di sekolah. Sedangkan sebagai siswa kelas 12, para siswa harus mempersiapkan diri untuk berbagai ujian dan pemilihan jurusan kuliah. Penelitian ini bertujuan untuk mengetahui pola komunikasi yang digunakan oleh orang tua dengan siswa kelas 12 setelah diterapkannya Pembelajaran Jarak Jauh. Subjek dalam penelitian ini adalah lima orang tua dan lima siswa kelas 12 yang bertempat tinggal di Jakarta Utara. Penelitian ini menggunakan pendekatan kualitatif dengan metode fenomenologi untuk melihat pengalaman orang tua dan siswa kelas 12 dalam berkomunikasi setelah ditetapkannya pembelajaran jarak jauh. Hasil penelitian ini menunjukkan bahwa pandemi ini membuat anak dan orang tua menjadi lebih dekat dan terbuka, hubungan yang terjalin pun oleh keduanya pun semakin erat. Hasil penelitian juga menunjukkan bahwa 1 keluarga menerapkan pola komunikasi otoriter, 1 keluarga menerapkan pola komunikasi permisif, 2 keluarga menerapkan pola komunikasi demokratis dan 1 keluarga lainnya menerapkan pola komunikasi kebapakan. Kesimpulan yang dapat diambil dalam penelitian ini bahwa tidak adanya perubahan pola komunikasi yang terjadi pada keadaan normal maupun pada saat pandemi. Meskipun diketahui terdapat perubahan emosi dan tingkah laku yang terjadi pada beberapa individu
Performance Analysis of Eccentrically Braced Frames (EBF) using Metallic Yielding Damper (MYD) with Hysteretic Steel Damper (HSD) Type
No full textEccentrically Braced Frames (EBFs) are earthquake-resistant steel structures with excellent shear capacity and ductility. During earthquakes, the EBF link yields first, protecting other structural elements. Traditionally, the link is integrated with the main beam and separated by bracing. However, if the link is damaged, replacing the entire beam becomes necessary. To address this, a vertical link design allows for link replacement without altering the beam section. This study evaluates two vertical link options: a Wide Flange (WF) link section and a Hysteretic Steel Damper (HSD) type Metallic Yielding Damper. Results suggest the WF link is preferable due to superior shear capacity and energy dissipation compared to the HSD link. The findings recommend the WF link for vertical link EBFs to optimize earthquake performance
The Value of Passenger Car Equivalent using the Time Headway Method on Urban Roads
No full textThe escalating proliferation of vehicles has had a significant impact on the existing Passenger Car Equivalent (PCE) values, making them less effective under current traffic conditions for assessing road performance. This study aims to redefine PCE values for urban highways using the Time Headway method. Data collection was conducted over four days during peak traffic hours. The methodology involved direct field observations, analysis footage, and statistical modeling of time headway data distributions. The Kolmogorov-Smirnov fit test identified the Wakeby distribution as the most suitable representation of time headway data. Results yielded PCE values of 0.413 for motorcycles and 1.416 for medium vehicles, with discrepancies of 65.37% and 18.02%, indicating that the measured PCE values surpass the established benchmarks. The rise in vehicle numbers and the methodologies employed contribute to the variations in observed PCE levels. This research provides valuable insights for urban road planning and foundation studies for future research
Evaluating U-Turn Capacity with Modified Geometry Designs and Various Conflicting Traffic Flows: A Traffic Microsimulation Approach
No full textFactors such as U-turn geometric and conflicting traffic volume often play a key role on U-turn capacity and safety. Evaluating U-turn capacity under modified geometric designs and various conflicting traffic flow conditions thus is essential to improving traffic flow and safety. This paper analysis U-turn capacity under various conflicting traffic conditions and propose the U-turn geometry modifications to improve capacity. A microsimulation model using PTV VISSIM is developed, and the results is compared with conventional analytical method to highlight the advantages of using traffic microsimulation approach in such analyses. The results show that U-turn capacity is significantly affected by conflicting traffic flow that in turn affecting headway time, and service time for various vehicle type. Among the geometric modifications tested, channelization designs showed significant increase in capacity whilst roundabout and indirect right-side design give mixed results depending on the composition of vehicles performing U-turns
Courier Assignment and Routing Problem Algorithm in Online Food Delivery System with Multi-Customer Delivery Patterns
No full textOnline food delivery (OFD) businesses face several challenges, including the need for fast deliveries, a high volume of orders, and effective route planning to optimize service efficiency. This study employs the Meal Delivery Routing Problem (MDRP) algorithm to address issues related to courier assignment and capacity management in food delivery operations. The research focuses on scenarios involving a single courier, a single merchant, and multiple demand nodes. Two main methods were used in the study: (1) The Maximum Covering Model (MCM) algorithm, which identifies the coverage area of the courier, and (2) The Flexible Meal Delivery Assignment and Routing Problem (FMD-ARP) algorithm, which tackles routing challenges. Various scenarios were tested to validate the model based on the chosen routes. The aim of this research is to develop a new model and algorithm that reduces delivery time and increases the number of orders that couriers can handle. After processing and analyzing the numerical data, the study identified the most effective scenario that led to improved delivery times and benefits for couriers, enabling them to manage more orders and achieve faster delivery compared to existing algorithms
SISTEM PELACAKAN POSISI DALAM RUANGAN
No full textSangat sulit untuk lansia agar dapat hidup mandiri. Kondisi lansia yang mudah sakit sangat berbahaya jika tidak ada yang mengawasi. Perlu adanya sistem yang dapat digunakan untuk mengawasi posisi lansia. Agar dapat mengetahui posisi lansia, perlu adanya alat yang dapat digunakan untuk melacak lansia tersebut. salah satu alat baru yang sedang dikembengkan untuk pelacakan dalam ruangan adalah UWB. UWB menggunakan gelombang radio untuk melakukan perhitunga lokasi. Dengan gelombang radio, proses penentuan jarak dapat dilakukan dengan mudah. proses pencarian lokasi dapat dilakukan walaupun berbeda ruangan, karena gelombang radio bergerak di udara. Sehingga proses pelacakan dapat dilakukan secara wireless
MODUL UJI RANGKAIAN POWER AMPLIFIER UNTUK QUALITY CONTROL PERUSAHAAN
No full textPower amplifier adalah rangkaian yang berfungsi untuk menguatkan daya pada sinyal input agar bisa menggerakkan loudspeaker dan menghasilkan suara. Salah satu perusahaan yang memproduksi power amplifier adalah CV. Sinar Baja Electric 2. Pada saat produksi, terdapat pengecekan quality control dimana proses tersebut dilakukan secara manual. Perusahaan ingin membuat pengecekan quality control menjadi otomatis. Untuk menunjang hal itu, pada tugas akhir ini dibuatkan modul untuk pengecekan quality control secara otomatis. Modul tersebut meliputi jig PCB untuk mendukung pengukuran tegangan pada beberapa titik di PCB power amplifier, pengukuran tegangan, pengukuran arus dengan menggunakan modul ACS712, pembacaan gelombang, dan menampilkan status quality control pada LCD 16x2 I2C dengan menggunakan Arduino Mega sebagai mikroprosesor. Hasil pengukuran dan pembacaan oleh mikroprosesor akan ditampilkan pada software Better Serial Plotter. Berdasarkan dari hasil pengujian, jig PCB berhasil mendukung pengukuran pada beberapa titik di PCB dan arduino mega berhasil melakukan pengukuran tegangan dengan error di bawah 4% dan error di bawah 10% untuk pengukuran tegangan 0,6 V dan 1,2 V. Modul juga berhasil melakukan pengecekan quality control secara otomatis. Proses quality control dilakukan dengan menentukan tegangan maksimal dan minimal yang didapatkan dari micro-SD Card pada pengukuran tegangan. Tetapi pengukuran arus dan pembacaan gelombang oleh Arduino Mega tidak akurat
CYBERSECURITY IN SMART HEALTHCARE: A MACHINE LEARNING APPROACH
No full textThe adoption of Internet of Things (IoT) technologies in medical devices has greatly enhanced healthcare capabilities. This enables continuous patient monitoring, real-time diagnostics, and remote care. However, this connectivity also introduces significant cybersecurity threats that can compromise patient safety and system integrity. This paper presents a machine learning-based framework for detecting threats in IoT-enabled medical devices. This study utilizing the WUSTL-EHMS-2020 dataset that taking a collection of network traffic from real-world healthcare IoT systems. A comparative evaluation of multiple classifiers was conducted to assess detection effectiveness and computational efficiency. In terms of accuracy value, the Decision Tree (DT) achieves highest value of 0.97. The Random Forest (RF) model demonstrated more optimum performance across metrics with accuracy at 0.94, precision of 0.95, recall of 0.56, and F1-score of 0.70. Meanwhile, XGBoost (XGB) achieved the highest Area Under the Curve (AUC) score at 0.95, indicating strong overall classification performance. Conversely, Gaussian Naive Bayes (GNB) exhibited the weakest results, with an accuracy of 0.86, F1-score of 0.46, and the lowest AUC score of 0.73. Notably, K-Nearest Neighbors (KNN) achieved the fastest training time of just 0.001 seconds, offering a preferable option for deployment in time-sensitive environments. These results highlight the trade-offs between accuracy, speed, and robustness in machine learning-based intrusion detection systems. This study underscores the potential of intelligent threat detection models in strengthening the security of modern medical IoT infrastructures, all while balancing computational constraints