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Peningkatan Kesadaran Masyarakat Urban terhadap Transportasi Berbasis Sepeda Chandra Lukita; Mamih Maya Pebiyanti; Henry Henry; Hana Maria Tan; Dadi Adriana; Aswadi Jaya
ADI Pengabdian Kepada Masyarakat Vol 5 No 2 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v5i2.1212

Abstract

Urban environmental issues, such as increasing air pollution and the reduction of green spaces, have become serious challenges due to the high usage of motor vehicles that produce carbon emissions. This air pollution has a detrimental impact on public health and quality of life. As an alternative, bicycles as environmentally friendly means of transportation are considered capable of reducing pollution and supporting urban greening programs. Bicycle use also has the potential to reduce traffic congestion and improve air quality. This community service aims to analyze the benefits of bicycle usage in mitigating the negative impacts of conventional transportation on the environment and to identify the obstacles in its implementation. The methods used include surveys of urban communities regarding their transportation patterns, observations of supporting infrastructure for bicycles, and analysis of existing sustainable transportation policies in the city. The results of the community service show that increasing bicycle usage can lower carbon emissions, reduce congestion, and improve air quality. Additionally, reducing land usage for roads and motor vehicle parking opens opportunities for expanding green spaces in the city, which in turn can improve the quality of life for the community. However, there are obstacles such as the lack of safe bicycle lanes, insufficient supporting facilities, and low public awareness of the benefits of cycling. Therefore, more comprehensive policies, development of cyclist-friendly infrastructure, and educational campaigns are needed to increase community participation.
The Emergence of Fintech in Higher Education Curriculum Yamato Shino; Chandra Lukita; Kim Beom Rii; Efa Ayu Nabila
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 1 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.744 KB) | DOI: 10.33050/sabda.v1i1.71

Abstract

The digital revolution in economic sectors such as e-commerce and financial technology has affected various industries, one of which is the financial industry in various parts of the world. Conventional finance in the industrial era 4.0 is being challenged by the existence of fintech as an innovation in various financial sectors. Employment opportunities are wider with fintech than conventional ones. However, this digital finance requires human resources to support it. The university acts as a competent and competitive human resource maker in the financial sector by incorporating fintech into its curriculum. Sharia fintech also needs to be applied to the curriculum of a university. Islamic universities are also able to implement fintech in their curriculum. The method used in this study uses a literature review method with evaluation results from the application of fintech at the University. The original proposition in this study incorporates hypothetical commitments in regards to monetary innovation. Utilizing the methodical writing audit approach of Kitchenham, notwithstanding topical investigation, meta-examination and perception to approve the nature of writing and investigation, the consequences of this study give a hypothetical premise fintech research from a data frameworks point of view, including the plan of fintech innovation ideas and their turn of events.
The Dynamics of Adaptation and Innovation of MSMEs in Facing Changes in Consumer Behavior Post Pandemic Chandra Lukita; Yasir Mustafa Kareem; Bhupesh Rawat
Startupreneur Business Digital (SABDA Journal) Vol. 5 No. 1 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v5i1.1015

Abstract

The COVID-19 pandemic has significantly reshaped consumer behavior, particularly in terms of digital engagement, purchasing preferences, and expectations toward products and services. These changes have compelled Micro, Small, and Medium Enterprises (MSMEs) in Indonesia to adopt adaptive and innovative strategies to sustain their businesses in the post pandemic era. This study aims to explore how Indonesian MSMEs adapt and innovate in response to post pandemic changes in consumer behavior. Using a qualitative research approach, data were collected through in depth interviews and observations involving MSME owners from various sectors, including food and beverage, fashion, and creative industries. The findings reveal that MSMEs implemented innovation not only in product development but also in digital marketing practices, customer relationship management, and technology based distribution channels. Post pandemic consumers were perceived as more health conscious, digitally oriented, and value driven, prompting MSMEs to reconfigure their business models and operational routines. From a theoretical perspective, this study contributes to the literature by demonstrating how Dynamic Capabilities and Innovation Diffusion theories explain MSMEs sustained innovation beyond crisis response, particularly in the post pandemic context of an emerging economy. Practically, the findings offer insights for policymakers and support institutions in designing programs that strengthen digital literacy, managerial flexibility, and innovation capacity among MSMEs to support sustainable post pandemic recovery.
Data-Driven Innovation for Circular Digital Economy in Sustainable Urban Development Chandra Lukita; Tessa Handra; Fitra Putri Oganda; Mackenzie Laurens
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.710

Abstract

The rapid advancement of digital technology has transformed how cities innovate and sustain their growth, making data-driven innovation a crucial element in achieving sustainable urban development. This study aims to examine the integration of data analytics, artificial intelligence, and Internet of Things within the framework of a circular digital economy to promote smarter, greener, and more resilient cities aligned with the Sustainable Development Goals. Using a Systematic Literature Review method, the research collected and analyzed publications from 2015 to 2024 obtained from major academic databases such as Scopus, ScienceDirect, and IEEE Xplore. The results show that data accessibility, interoperability, and digital infrastructure enhance efficiency in energy, mobility, and waste management, while digital tracking supports circularity and resource optimization. Governance that applies human-centered design further ensures inclusivity and transparency in urban systems. Overall, the findings highlight that data serves not only as a technological asset but also as a strategic driver for sustainable transformation. The study concludes that integrating data-driven innovation with circular economy principles strengthens collaboration among governments, industries, and communities, enabling cities to achieve long-term sustainability and contribute effectively to global goals such as innovation, responsible consumption, sustainable cities, and climate action.
The Effect of Technology Training on Increasing MSME Productivity: Case Analysis of Digital Training Programs for Local Craftsmen Chandra Lukita; Ika Yuni Purnama; Untung Rahardja; Ersa Aura Natasya; Yulia Putri Ayu Sanjaya
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1087

Abstract

This research aims to explore the impact of technology training on increasing the productivity of micro, small and medium enterprises (MSMEs), focusing on local artisans. The Partial Least Squares structural analysis method (PLS-SEM) tests the proposed hypothesis based on survey data from MSMEs participating in digital training programs. The research results show that active participation in technology training programs significantly increases the application of technology in MSME business operations. Applying this technology will then have a positive impact on improving the productivity of MSMEs. Additionally, consistency in construct measurement, such as reliability and validity, is vital in explaining variation in the dependent variable. These findings provide an essential contribution to understanding the role of technology in increasing the productivity of MSMEs and highlight the importance of consistency in construct measurement in the context of this research.
Semantic Edge Orchestration for 6G-Enabled Immersive Media Broadcasting Lunantari Sanbella; Chandra Lukita; Anandha Fitriani; Ihda Nur Fathiyah
Bridging of Emerging AI and Media Broadcasting (BEAM) Vol. 2 No. 1 November (2026): Bridging of Emerging AI and Media Broadcasting
Publisher : Sundara Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/beam.V2i1.191

Abstract

The rapid evolution of 6G networks is expected to transform immersive media broadcasting by enabling ultra-low-latency communication, intelligent edge computing, and high-capacity transmission for extended reality, holographic content, and interactive multimedia. However, conventional edge resource management remains limited in understanding the semantic importance of media content, resulting in inefficient computation and transmission when network resources fluctuate. This study aims to develop a Semantic Edge Orchestration framework for 6G-enabled immersive media broadcasting that dynamically prioritizes computational, communication, and caching resources according to the semantic relevance of media streams and real-time network conditions. The proposed framework integrates semantic feature extraction, edge intelligence, and adaptive resource orchestration to classify content importance and coordinate processing across distributed edge nodes. Its performance is evaluated through simulation under different traffic loads and network conditions using end-to-end latency, bandwidth utilization, edge resource efficiency, and immersive media quality as evaluation metrics. The experimental results demonstrate that the proposed approach reduces end-to-end latency by 27.8%, decreases bandwidth consumption by 22.4%, and improves edge resource utilization by 18.6% compared with conventional resource aware orchestration while maintaining consistent perceptual quality during high network loads. These findings indicate that semantic aware edge orchestration can provide an effective architecture for intelligent 6G broadcasting by allocating network resources according to both contextual content importance and infrastructure conditions, thereby supporting scalable, responsive, and resource-efficient delivery of next- generation immersive media services.