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All Journal JURNAL IQRA´ Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Journal of Applied Data Sciences Jurnal Manajemen Retail Indonesia (JMARI) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Journal of Social Research Startupreneur Business Digital (SABDA Journal) West Science Business and Management International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Mochamad Heru Riza Chakim
Universitas Raharja
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences Other

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Creativity to Innovation: What Lesson Learned from Digital Transformation in Financial Accountability in Government Practices Ariesmansyah, Andre; Lestari, Anggun Hilendri; Yodiansyah, Hefri; Chakim, Mochamad Heru Riza; Junaedi, I Wayan Ruspendi
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3509

Abstract

This work is expected to gain a top-down understanding of various evidence of past logical investigations to understand how imagination drives government development in completing the capacity to serve the general public, especially the monetary sector, by utilizing innovation. The information we obtain relies on logical examination, beforehand from various sources of literature both at home and abroad that discuss how financial administration in the bookkeeping technology includes the use of the latest innovations. In addressing this question, of course, we directed the first informational review through a top-down assessment of the coding framework, evaluation data and completed it after the point of responding to legitimate and valid questions. This review depends on the data examined from different correspondence publications, and we report it as a qualitative report that describes utilizing investigation of inside and outside publication journals to deal with answering problems. In this review, we get results, including information through electronic investigations, that government creativity using digital applications for public financial services has turned to transparent and modern prime service innovations. Thus, this result becomes an essential input for improving public services in the country.
From Creativity to Innovation: An Entrepreneur Strategic Management for Business Development Mochamad Heru Riza Chakim; Fauzan Manafi Albar; Dahlia Pinem; Seprianti Eka Putri; Pandu Adi Cakranegara
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.3895

Abstract

The purpose of this review was to understand creativity in driving business towards innovation, starting from improving management and business strategies that are profitable and sustainable. The authors believe that businesses have to transform management into a profitable business through innovation as an entrepreneur. So, to ensure the relevant supporting document data to answer the problems of this study, the authors have visited hundred of scientific publication journals, both national and international publications, which actively discuss issues of creativity, innovation, and business strategies to benefit both short and long term. Next, we examine the phenomenological approach under a descriptive qualitative study to understand genuinely. We found the data through an electronic search on several mentioned publications. Through the use of the keyboard, we have been able to collect data, and then we review it by coding the system, critical evaluation of the relevant conclusions. Based on the evidence of our studies and studies, we can finally conclude that entrepreneurs must have continuous creativity to get the latest innovations to compete in the era of economic competition by maximizing management governance, both production, and sales. In the end, we found that the business was going from creativity to innovation in developing profitable business management strategies. It is hoped that these findings will strengthen similar studies in the future.
Identification of Data-Based Public Administration Governance Strategies: Opportunities and Challenges Afridian Wirahadi Ahmad; Mohamad Muspawi; Andre Ariesmansyah; Mochamad Heru Riza Chakim; Hefri Yodiansyah
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3547

Abstract

This article aimed to identify a data-based public administration governance strategy regarding the opportunities and challenges in today's digital era. The authors believe that choosing a strategy in managing data technology-based public administration services is part of the success of organizations, including the government, in serving public partnerships. So to ensure the truth of this article's questions, we have collected field study evidence to study in-depth so that we can get answers to this royal question with convincing and high quality. So that the chest can be said to be a finding, first, our data has been carefully studied, involving a coding system for data interpretation and drawing conclusions under a phenomenological approach, namely an effort to search for the broadest possible data to get answers that are concise and clear. The data sources that we focus on are scientific publications, journals, and other literature documents made public between 2010 and 2021 to find the data easily. Based on the study and discussion, we conclude that the effort to identify the right strategy for the government in managing public records is to provide data services on the internet, considering that all human activities, both business and public services, have been increasingly popularly adopted from the old way of talking about big data technology. It is hoped that this finding will become a significant input in improving studies on data-based public services.
The Development of Digital Teaching to Improve the Quality of Student Learning in the Revolution 4.0 Era at Warmadewa University I Wayan Parwata; Suwarni; Ahmad Hariyadi; Zulkarnaini; Mochamad Heru Riza Chakim
Jurnal Iqra' : Kajian Ilmu Pendidikan Vol. 8 No. 1 (2023): Jurnal Iqra' : Kajian Ilmu Pendidikan
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/ji.v8i1.3199

Abstract

To complete the answers to the research on the topic of producing digital learning to enhance the quality of student learning in the technological revolution 4.0 era at the University of Warmadewa, the researchers have gathered various materials that respond to research questions. Similarly, to collect primary data, the researchers interviewed 30 academics (students and lecturers) at the University of Warmadewa to learn about their perspectives and experiences in developing digital-based teaching to improve student learning outcomes during regular and throughout education. Hence, it reviewed different data sets, both in the form of secondary source data from various publications connected to Technology and instruction and data that the researchers questioned academics to find answers to. The researchers could simplify the development of digital teaching to improve the quality of student learning in the Revolution 4.0 era at Warmadewa University. It has resulted several new understandings, such as Technology has innovated the learning process as the digital application have helped academics in solving learning challenge and bring more benefits. It hopes these findings bring new insights into learning in higher education and policy-making uses. Keywords: Development Digital Teaching, Improving Students’ Quality, Learning Revolution
Examining the Impact of Artificial Intelligence and Internet of Things on Smart Tourism Destinations: A Comprehensive Study Aliyah; Chandra Lukita; Greian April Pangilinan; Mochamad Heru Riza Chakim; Dimas Bagus Saputra
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.332

Abstract

This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.
Image-based Air Quality Prediction using Convolutional Neural Networks and Machine Learning Marviola Hardini; Mochamad Heru Riza Chakim; Lena Magdalena; Hiroshi Kenta; Ageng Setiani Rafika; Dwi Julianingsih
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 1Sp (2023): Special Issue: Technopreneurship Driving Change in the Nation's Future Leadersh
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i1Sp.337

Abstract

Air quality has become a major public concern due to the significant threat posed by air pollution to human health, and rapid and efficient monitoring of air quality is crucial for pollution control and human health. In this paper, deep learning and image-based models are proposed to estimate air quality. To evaluate the level of air quality, the model collects feature information from landscape photos taken by mobile cameras. To analyze public perception of air quality, researchers collected questionnaire data from 257 people. The Smartpls method allows for structural analysis to determine the influence of each variable on other variables and the extent of their contribution to the final variable of overall perception of air quality. This study aims to develop a novel approach for air quality prediction using image-based data and machine learning techniques. The research used convolutional neural networks to extract features from images and predict the air quality index. The study was conducted using a dataset obtained from a network of air quality sensors across the city. The results of the study showed that the proposed approach can provide accurate air quality predictions compared to the traditional methods. The developed model was able to capture the complex relationships between air quality and environmental factors, such as temperature and humidity. The implications of the study suggest that image-based air quality prediction can be a powerful tool for improving public health and reducing the impact of air pollution. The study's findings hold promise for a healthier future by facilitating more effective pollution management and improved air quality regulation. The study's primary novelty lies in its approach to air quality prediction by deploying convolutional neural networks to extract image features for predicting air quality indices. This application of advanced machine learning techniques to image-based data for air quality estimation marks a significant advancement.
Village Tourism Empowerment Against Innovation, Economy Creative, and Social Environmental Mochamad Heru Riza Chakim; Mulyati; Po Abas Sunarya; Vertika Agarwal; Ihsan Nuril Hikam
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.342

Abstract

This study explores the vital role of village tourism in fostering innovation and elevating the creative economy. Through enhancing tourist experiences and advancing local innovation, it investigates the intricate impacts of village tourism on innovation, the creative economy, and society. Utilizing a qualitative approach, 145 participants are engaged via surveys to analyze factors that influence Tourism Village: Environment (En), Economic (Ec), Socio-Culture (SC), Innovation Promotion (IP), and Tourism (Tr). Employing partial quadratic-structural equation modeling through SmartPLS, it examines how citizen engagement and tourism-induced economic gains influence psychological, social, and political empowerment, and place attachment. The findings emphasize village tourism's vast potential in driving innovation, igniting creativity, and contributing significantly to economic and social growth. Nonetheless, its sustainability relies on harmonizing social, economic, and environmental aspects. The study underscores the urgency of sustainable management for lasting benefits for locals and visitors alike. Synthesizing impacts, contributions, challenges, solutions, novel insights, and revelations, this research highlights village tourism's transformative power in propelling innovation-focused advancement in the creative economy, highlighting the necessity of responsible management approaches.
The Influence of Digital Artificial Intelligence Technology on Quality of Life with a Global Perspective Sandy Kosasi; Chandra Lukita; Mochamad Heru Riza Chakim; Adam Faturahman; Dhiyah Ayu Rini Kusumawardhani
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 3 (2023): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i3.354

Abstract

The rapid development of digital technology and artificial intelligence (AI) has brought significant changes in many areas of life, including business, healthcare, education, and entertainment. The great potential of AI technologies to provide positive benefits to society is balanced with concerns about their negative impact on quality of life. This study aims to explore the influence of digital AI technology on the overall quality of life around the world, focusing on the Performance Expectancy, Effort Expectancy, and Use Behavior aspects of digital AI technology. This research method utilizes the UTAUT (Unified Theory of Acceptance and Use of Technology) approach and collects data quantitatively through a questionnaire covering 3 variables related to digital AI technology and its influence on quality of life. Data analysis was conducted using PLS-SEM (Partial Least Squares - Structural Equation Modeling) to identify important aspects related to the advantages and disadvantages of AI technology. The results from the 70 respondents indicated that digital AI technologies have the potential to improve quality of life by meeting performance expectations and providing ease of use, and a balanced approach is needed in the development and implementation of AI technologies to maximize their positive impact while minimizing their negative impact.
Dynamics of Conflict Management Research in the Public and Private Sectors: A Bibliometric Analysis Nanny Mayasari; Ade Suhara; Sri Dinarwati; Mochamad Heru Riza Chakim; Agustinus Talindong
West Science Business and Management Vol. 2 No. 02 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i02.1037

Abstract

This bibliometric analysis explores the evolving landscape of conflict management research across various dimensions, including thematic clusters, research trends, emerging opportunities, and author collaborations. Utilizing VOSviewer for visual mapping, the study identifies key themes such as leadership styles, resolution processes, and personal traits like gender and professional roles that dominate the discourse. A longitudinal analysis from 2002 to 2010 highlights a pivotal shift from foundational conflict management concepts towards addressing broader societal impacts and understanding the economic ramifications of conflict. Opportunities for future research were pinpointed in underexplored areas such as ethnic conflicts, the costs associated with conflict, and the roles of power in achieving peace. The author collaboration network, though sparse, reveals central figures that could drive further interdisciplinary studies. This study not only maps the current state of conflict management research but also sets the stage for future explorations that could bridge theoretical gaps and enhance practical applications.
Improving Recommender Systems using Hybrid Techniques of Collaborative Filtering and Content-Based Filtering Widayanti, Riya; Chakim, Mochamad Heru Riza; Lukita, Chandra; Rahardja, Untung; Lutfiani, Ninda
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.115

Abstract

This innovative study introduces a novel enhancement to recommendation systems through a synergistic integration of Collaborative Filtering (CF) and Content-Based Filtering (CBF) techniques, termed the hybrid CF-CBF approach. By seamlessly amalgamating the strengths of CF's user interaction insights and CBF's content analysis prowess, this approach pioneers a more refined and personalized recommendation paradigm. The research encompassed meticulous phases, including comprehensive data acquisition, efficient storage management, meticulous data refinement, and the skillful application of CF and CBF methodologies. The findings markedly highlight the prowess of the hybrid approach in generating recommendations that exhibit enhanced diversity and precision, surpassing the outcomes obtained from either technique in isolation. Remarkably, the hybrid CF-CBF approach effectively addresses the inherent shortcomings of individual methods, such as CF's vulnerability to the "cold start" problem and CBF's limitation in fostering recommendation diversity. By fostering a harmonious synergy, this novel approach transcends these limitations and provides a holistic solution. Furthermore, the interplay of CF and CBF augments the recommender system's cognitive grasp of user preferences, subsequently enriching the quality of recommendations provided. In conclusion, this research stands as a pioneering contribution to the evolution of recommendation systems by championing the hybrid CF-CBF approach. By ingeniously fusing two distinct techniques, the study engenders a breakthrough in personalized recommendations, thereby propelling the advancement of more sophisticated and effective recommendation systems.
Co-Authors Abyantoro, Dody Adam Faturahman Ade Suhara Afridian Wirahadi Ahmad Agustina, Liza Agustinus Talindong Ahmad Hariyadi Alfri Adiwijaya Aliyah Amelia Mutiara Zahrani Ariesmansyah, Andre Beldiq, Eiser Aaron Cakranegara, Pandu Adi Chandra Lukita Chua Toh Hua Dahlia Pinem Dhiyah Ayu Rini Kusumawardhani Dimas Aditya Prabowo Dimas Bagus Saputra Dinarwati, Sri Dwi Julianingsih Dwitarwasto, Toto Dyatmika, Sutama Wisnu Eka Dian Astuti Erika Erika Fauzan Manafi Albar Fitriani, Gaby Fong, Joan Greian April Pangilinan Hakim, Yucky Fitriana Hanny Safitri Hasanah Hasanah Hefri Yodiansyah Heni Nurhaeni Henry Zainarthur Hiroshi Kenta I Wayan Parwata I Wayan Ruspendi Junaedi Ignatius Agus Supriyono Ihsan Nuril Hikam Khairul Lena Magdalena Lestari, Anggun Hilendri Marviola Hardini Maulana, Sabda Mayasari, Nanny Miftakhul Khasanah Mohamad Muspawi Mulyati Mulyati Mulyati Mulyati Mulyati Mulyati Mulyati Nanny Mayasari Nasution, Erni Juliana Al Hasanah Ninda Lutfiani Pérez, Carlos Po Abas Sunarya Pusparanti, Sonia Queen, Zabenaso Qurotul Aini Rafika, Ageng Setiani Ramadhan, Muhamad Dicky Riya Widayanti Rizky, Agung Rizqillah, Abrar Sandy Kosasi seprianti eka putri Septiani, Nanda Shaumiwaty, Shaumiwaty Sora Baltasar Suhara, Ade Sunarjo, Richard Andre Sunarti Suwarni Talindong, Agustinus Tanjung, Azrul Tantri Wenny Sitanggang Untung Rahardja Utami, Rahayu Tri Vertika Agarwal Victorianda Wijayanti, Cahya Winarti, Wiwin Yodiansyah, Hefri Yuliantoro, Tri Zebua, Selamat Zhask Stefano Rizky Zulkarnaini