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All Journal Science Education and Application Journal eScience Humanity Journal Indonesia Journal of Engineering and Education Technology (IJEET) Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat
Aat Ruchiat Nungraha
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Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Energy Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Geopatial Technologies in Civil Engineering : A Critical Literature Muhammad Ade Kurnia Harahap; Hamka Wakkang; Adrie Oktavio; Rean Mitasari; Aat Ruchiat Nungraha; Alek Irawan Triantho
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.50

Abstract

This study investigates the role of geospatial technologies in enhancing the efficiency and effectiveness of civil engineering projects. Geospatial technologies, including Geographic Information Systems (GIS), remote sensing, and spatial analysis, have revolutionized the field of civil engineering by providing critical tools for planning, design, construction, and management of infrastructure projects. The integration of these technologies enables accurate terrain mapping, real-time monitoring, and data-driven decision-making, which are crucial for ensuring the safety, sustainability, and resilience of modern infrastructure. This research aims to explore the applications of geospatial technologies in various civil engineering projects, including highway planning, urban development, and environmental monitoring. The study also examines the potential benefits and limitations of these technologies and provides recommendations for their effective integration into civil engineering practices. By understanding the impact of geospatial technologies on civil engineering projects, this research aims to contribute to the development of more efficient, sustainable, and resilient infrastructure that supports the needs of modern society.
Public Opinion Formation in the Digital Age : A Review of Literature Diah Fatma Sjoraida; Bucky Wibawa Karya Guna; Aat Ruchiat Nungraha; Daniel Pasaribu; Novianty Djafri
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.52

Abstract

The digital age has brought significant changes in the way people access and process information. Social media and other online platforms have become a major source of information and public opinion. This study aims to review the literature on public opinion formation in the digital age. This study uses the literature review method to analyze literature relevant to the research topic. A literature review shows that the digital age has had a significant impact on the formation of public opinion. Social media and other online platforms have become the primary means for individuals to access information, share ideas, and exchange opinions. This has led to changes in the way public opinion is formed and disseminated. The formation of public opinion in the digital age is a complex and dynamic phenomenon. Social media and other online platforms have an important role to play in shaping public opinion. A better understanding of the process of forming public opinion in the digital age is needed to develop effective communication strategies and build a more democratic society.
Integration of Building Information Modelling (BIM) in Civil Engineering Project: A Literature Review Sugeng Purwanto; Aat Ruchiat Nungraha; Muhammad Ade Kurnia Harahap; Insira Insani Fitri
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.56

Abstract

Building Information Modelling (BIM) has revolutionized the construction industry by presenting a new approach to project design and construction. BIM enables the integration of comprehensive project data, including 3D design, material information, and construction schedules, into a centralized digital model. This literature review aims to explore the integration of BIM in civil engineering projects, focusing on its benefits, challenges, and implementation. This study aims to examine the integration of Building Information Modelling (BIM) in civil engineering projects through a comprehensive literature review. BIM is a technology that enables the creation and management of digital representations of the physical and functional characteristics of a construction project. The results of this study conclude that BIM enables more accurate and efficient design by detecting potential clashes and design errors in the early stages of the project thus saving time and costs.
Implementation of the Integrated Justice System as an Effort to Prevent Sexual Violence against Children: A Case Study in Indonesia Miftahul Jannah; Andi Sri Rezky Wulandari; Mekkah HM; Aat Ruchiat Nungraha; Diah Fatma Sjoraida
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.80

Abstract

Sexual violence against children is a serious problem that threatens the safety and well-being of the younger generation. This study aims to analyze the implementation of the integrated justice system as an effort to prevent sexual violence against children in Indonesia. The integrated justice system integrates various institutions, including the police, prosecutor's office, courts, and child protection services, to ensure comprehensive protection for children as potential victims. This study uses a case study approach with a focus on policy implementation at the national and regional levels, as well as evaluating the effectiveness of collaboration between institutions in preventing sexual violence against children. The results show that although the integrated justice system has been well designed, there are still challenges in coordination between institutions, policy understanding at the local level, and limited resources that affect the effectiveness of prevention. The recommendations of this study include strengthening the capacity of related institutions, increasing coordination between institutions, and wider socialization about the importance of protecting children from sexual violence. Thus, it is hoped that the implementation of an integrated justice system can be an effective solution in preventing sexual violence against children in Indonesia.
The Effect of Machine Learning-Assisted Inquiry Based Learning Size Model on Students' Problem-Solving Thinking Skills Sapulete, Heppy; Tomi Apra santosa; Hasyim Mahmud Wantu; Ahamd Zain Sarnoto; Aat Ruchiat Nungraha; Eko Nursalim; Togam E Panggabean; Alek Irawan Triantho
eScience Humanity Journal Vol 5 No 1 (2024): eScience Humanity Journal Volume 5 Number 1 November 2024
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v5i1.226

Abstract

This study aims to determine the influence of the Machine Learning-assisted Inquiry Based Learning Model on Students' Problem-Solving Thinking Ability. This type of research is a quantitative research with a meta-analysis approach. The data sources in this study come from 12 reputable national and international journals published in 2022-2024. The data collection technique is direct observation through the jury database. The search for data sources in this study is based on google scholar; ERIC, Wiley and Sciencedirect. Data analysis is quantitative data analysis by calculating the effect size value. The results of the study concluded that the inquiry-based learning model assisted by machine learning had a positive influence on students' problem-solving ability with an effect size value of 1,02 in the high effects size category
HR Management Training for Social Organization to Improve Volunteer Effectiveness and Job Satisfcation Aat Ruchiat Nungraha; Bucky Wibawa Karya Guna; Tri Suparyanto; Dewanto; Tomi Apra santosa
Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2025): In Progress
Publisher : LPPM Akademi Teknik Adikarya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/inovasisosial.v3i1.95

Abstract

This study aims to analyze the effect of human resource management (HR) training on increasing volunteer effectiveness and job satisfaction in social organizations. Social organizations often face challenges in maximizing volunteer contributions due to a lack of structured management and adequate training. This study uses a quantitative approach with a pretest-posttest experimental design in two groups, namely the experimental group that received training and the control group that did not receive training. The training provided includes time management, communication skills, conflict management, and teamwork development, which is designed to improve the competence of volunteers in supporting organizational goals. The study respondents consisted of 20 volunteers who were active in several social organizations, with data collected through work effectiveness and job satisfaction questionnaires that had been tested for validity and reliability. Data analysis was conducted using independent statistical tests to identify significant differences between the two groups. The results showed that HR management training significantly increased volunteer work effectiveness by 30% and job satisfaction by 22% (p < 0.05). Volunteers who participated in the training reported improved ability to complete tasks, built positive interpersonal relationships, and felt more valued in the organization.
Deep Learning Model in Science Learning: Bibliometric Analysis Happy, Nurina; Tomi Apra Santosa; Siti Fatimah Hiola; Ifa Safira; Nur Latifah; Dewanto; Muh. Safar; Aat Ruchiat Nungraha
Science Education and Application Journal Vol 7 No 1 (2025): Science Education and Application Journal
Publisher : Program Studi Pendidikan IPA, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/seaj.v7i1.1160

Abstract

The deep learning model is one of the learning models that can be applied in science learning. Research related to deep learning has grown very rapidly in recent years. Research on deep learning models has produced many theoretical and empirical findings. Many trends have emerged to highlight the complexity and dynamics of deep learning models in science learning.  This study aims to discover the latest trends in deep learning model research in science learning. This study uses a bibliometric approach of analysis based on the Google Scholar database. Based on this study's title, abstract, and keywords, it produced 872 studies from 2015-2024. The results of this study show that the deep learning model in this learning has increased significantly in 2022. The increase in research on deep learning models shows the importance of applying deep learning models in learning.
Public Communication and Fake News: Combating Misinformation in the Post-Truth Era Diah Fatma Sjoraida; Bucky Wibawa Karya Guna; Aat Ruchiat Nungraha; Yatimin
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 3 No. 1 (2025): In progress
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v3i1.111

Abstract

In the post-truth era, where emotions and personal beliefs often override objective facts, the spread of fake news poses significant challenges to public communication. This study examines the role of public communication in identifying, addressing, and combating misinformation across digital platforms. Through a qualitative content analysis of government campaigns, media initiatives, and public responses, this research highlights the strategies employed to mitigate the impact of fake news on public opinion and democratic discourse. The findings indicate that transparency, media literacy, fact-checking mechanisms, and real-time engagement are critical components of effective public communication. Furthermore, the study underscores the need for cross-sector collaboration among governments, media organizations, and civil society to build public resilience against misinformation. This research contributes to the growing body of literature on digital communication and offers practical recommendations for policymakers and communication professionals navigating the complexities of the post-truth information landscape.
Co-Authors Adrie Oktavio Ahmad Zain Sarnoto Alek Irawan Triantho Andi Sri Rezky Wulandari Bucky Wibawa Karya Guna Daniel Pasaribu DEWANTO Diah Fatma Sjoraida Eko Nursalim Hamka Wakkang Hasyim Mahmud Wantu Ifa Safira Insira Insani Fitri Mekkah HM MIFTAHUL JANNAH Muh. Safar Muhammad Ade Kurnia Harahap Novianty Djafri Nur Latifah Nurina Happy Rean Mitasari Sapulete, Heppy Siti Fatimah Hiola Sugeng Purwanto Togam E Panggabean Tomi Apra Santosa Tri Suparyanto Yatimin