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Model Forensic Assesment Struktur Pendekatan Building Information Modelling (BIM) pada Gedung Creative Centre Tasikmalaya Setiawan, Aditya; Nasihien, Ronny Durrotun
EXTRAPOLASI Vol 22 No 01 (2025)
Publisher : Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/ep.v22i01.11941

Abstract

Gedung Creative Center (GCC) adalah gedung yang dibangun untuk mendukung, menampung, menyalurkan, dan meningkatkan bakat dan kreatifitas Gen Milenial di kota Tasikmalaya. Struktur Gedung Creative Center (GCC) ditenggarai mempunyai masalah yang berkaitan dengan degradasi material beton, hal ini dapat dilihat dari pengamatan secara visual dilapangan bahwa struktur beton terlihat kasar dan kusam akibat terpapar bebas dilingkungan. Metode penelitian dengan cara pemodelan informasi dari dokumen proyek serta penambahan informasi sesuai dokumen proyek pada saat pemodelan menggunakan software Autodesk Revit. Dalam penelitian ini, Gedung Creative Center (GCC) Tasikmalaya akan dievaluasi kapasitas struktur eksisting yang ada, dengan melakukan survey serta pengujian di lapangan dengan metode Non Destructive Test (NDT), dalam studi ini yang menjadi studi kasusnya adalah mengintegrasi proses Forensik Asesmen bangunan ke dalam proses perencanaan yang terintegrasi dalam sistem BIM. Proses yang dimaksud adalah mengintegrasi gambar Detail Engineering Design yang berbasis 2D ke dalam bentuk model 3D yang menampilkan gambar struktur dan volume element strukturnya, yang kemudian hasil proses evaluasi struktur eksisting terintegrasi ke dalam sistem BIM.
Analisis Faktor-Faktor yang Mempengaruhi Kinerja SumberDaya Manusia Menggunakan Metode Diskriptif dan Diskriminan pada Proyek Konstruksi di PT.X Anam, Mochamad Choerul; Nasihien, Ronny Durrotun
PUBLIKASI RISET ORIENTASI TEKNIK SIPIL (PROTEKSI) Vol 1 No 2 (2019)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/proteksi.v1n2.p48-56

Abstract

Kinerja sumber daya manusia menjadi salah satu faktor keunggulan dari suatu perusahaan. Dengan mengetahui faktor - faktor yang mempengaruhi kinerja sumber daya manusia, maka diharapkan bisa memperbaiki kinerja sumber daya manusia oleh perusahaan sehingga bisa diciptakan kondisi  dan lingkunganyang memungkinkan kinerja perusahaan menjadi lebih baik: Karakteristik yang diambil adalah karywan yang terdapat pada suatu proyek konstruksi.Tujuan  dari   penelitian   ini   adalah untuk mengetahui faktor  yang   paling berpengaruh terhadap kinerja sumber daya manusia dan seberapa besar pengaruh faktor- faktor  tersebut. Sebagai obyekpenelitian diamhil salah satu perusahaan jasa konstruksiPT.  X yang berdomisili di  Surabaya, dengan data -  data daftar prosedur PT.X, daftar  pengalaman  kerja  karyawan   PT.  X  dan  Basil kuisioner.  Faktor  yang memepengaruhi kinerja terbagi alas 2 bagian yaihl: faktor internal dan faktor ekstemal.Dari  hasil penelitian  yang  dilalcukan menunjukkan bahwa factor yang  paling berpengaruh dalam kinerja sumber daya manusia poda proyek  konstruksi adalah faktor disiplin  diri  dengan  nilai  mean  3,61.  Faktor internal   adalah  faktor yangpaling berpengaruh dalam  kinerja sumber daya manusia pada proyek  konstruksi dengan nilai mean 3,53.  Sedangkan berdasarkan aspek demografi faktor yang berpengaruh terdapat variasi  dalam  hasilnya.  Sehingga  dengan  mememiliki aspek  usaha  menunjukkan kemampuan  diri,  disiplin,  dan  kemampuan  berkomunikasi pada   suatu  perusahaan diharapkan   dapat meningkatkan kinerja perusahaan  dalam pencapaian tujuan.
Navigating Interoperability, Security, and Scalability: A Narrative Review of IoT Architectures in Smart Cities Nasihien, Ronny Durrotun; Juwari
Digitus : Journal of Computer Science Applications Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i4.837

Abstract

The rapid advancement of Internet of Things (IoT) technologies has driven the transformation of urban centers into smart cities, yet significant challenges remain in the implementation of interoperable, secure, and scalable IoT architectures. This narrative review aims to explore the primary issues and proposed solutions related to interoperability, cybersecurity, and infrastructure scalability in IoT-based smart city frameworks. Literature was gathered from leading databases including Scopus, Web of Science, and IEEE Xplore, using Boolean search strategies with keywords such as "IoT," "smart cities," "interoperability," "security," and "edge computing." Inclusion criteria focused on peer-reviewed empirical studies published within the past decade. Studies were categorized thematically to identify trends and gaps. The findings show that a lack of interoperability standards remains a major bottleneck, while the growing volume of connected devices amplifies security and scalability concerns. Technical approaches such as Software Defined Networking (SDN), blockchain-based data protection, and edge computing have demonstrated potential in addressing these challenges. However, systemic constraints, including fragmented policies and insufficient data governance, continue to hinder full-scale adoption. The review highlights the importance of adopting a multidimensional framework that incorporates both technological innovations and adaptive policy-making to ensure the successful deployment of IoT in smart city contexts. This study calls for greater cross-sector collaboration, policy reform, and future research into AI-enhanced IoT systems to support inclusive and resilient smart city development.
Evaluating Smart Traffic Light Systems for Urban Accident Reduction: A Case Study from Manado, Indonesia Mintje, Quirina Ariantji Patrisia; Nasihien, Ronny Durrotun; Saidah, Deslida
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.693

Abstract

 Introduction & Objective: Traffic congestion and the high rate of vehicular accidents remain major challenges in developing cities such as Manado, Indonesia. The rapid increase in the number of vehicles, unmatched by adequate infrastructure, has resulted in longer waiting times at intersections, higher levels of air pollution, and an elevated risk of accidents. With technological advancements, smart traffic light systems have emerged as innovative solutions in many cities. However, their effectiveness in the context of developing cities like Manado still requires further investigation. Therefore, this study aims to evaluate the effectiveness of smart traffic light systems in improving traffic flow, reducing emissions, and decreasing the number of accidents in Manado City. Methodology: A mixed methods approach was employed, combining retrospective traffic accident data from hospitals and police records with simulation models embedded with IoT and AI technologies. The evaluation focused on key performance indicators, including waiting time, travel time, emissions, and accident probability. Key Results & Discussion: Simulation outcomes revealed reductions of up to 40% in waiting times, 25% in travel times, and 20% in emissions. Retrospective data confirmed accident clusters in high-risk intersections, particularly along Jalan A. A. Maramis. Comparative analysis with international benchmarks further demonstrated that the projected benefits in Manado are consistent with results achieved in cities that have adopted similar technologies. Nevertheless, successful implementation depends on supportive infrastructure, stakeholder collaboration, and adaptive policymaking. Conclusion & Implications: Smart traffic light systems hold significant potential as a strategic intervention to enhance road safety and traffic efficiency in Manado. The integration of localized accident data with predictive simulation models represents the main scientific contribution of this study, offering a replicable framework for other secondary cities in Indonesia. The findings also provide actionable insights for local governments to design smart mobility policies aligned with global smart city agendas.