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This Author published in this journals
All Journal Startupreneur Business Digital (SABDA Journal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi AI, Innovation, and Resilience for the Environment Journal
David Edmond
Eesp Incorporation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Other

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Successful Digital Marketing Techniques for Business Development Sausan Raihana Putri Junaedi; Victoriani; David Edmond
Startupreneur Business Digital (SABDA Journal) Vol. 3 No. 1 (2024): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v3i1.429

Abstract

In the constantly changing digital environment, digital marketing has emerged as a crucial component of company growth. Effective digital marketing techniques are thoroughly discussed in this article as the key to achieving significant business growth. This article's major goal is to give readers a thorough grasp of the value of identifying the target audience, creating high-quality content, optimizing it for search engines, using social media, using data analysis, and being responsive to shifting digital trends. We also go over the advantages of using this method, including how it can improve visibility, customer retention, and business conversions. This article seeks to serve as a comprehensive how-to manual for businesses and entrepreneurs who wish to learn the art of digital marketing for long-term company expansion.
Educational Applications and Early Childhood Learning Experience Enhancement Syahyono Syahyono; Ratih Nur Widyantari; David Edmond
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 5 No 1 (2026): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v5i1.1229

Abstract

This study is motivated by the increasing use of educational applications in early childhood education and the need to understand how digital technologies contribute to meaningful learning experiences, particularly through interactive, engaging, and developmentally appropriate learning activities for young children within an effective and sustainable learning context. The background of this study highlights that educational applications can provide interactive and engaging learning environments, but their effectiveness depends on how teachers integrate and facilitate technology during classroom activities. The object of this study is the interaction between teachers, educational applications, and young children in the development of early childhood learning experiences. This study employs a qualitative case study approach to explore how teachers utilize educational applications, manage technology-supported activities, and respond to children’s engagement and learning needs. Data are designed to be collected through classroom observations, semi-structured interviews with teachers, and relevant learning documentation, followed by thematic analysis to identify recurring patterns and meanings. The expected results indicate that educational applications can enhance children’s participation, attention, exploration, and interaction when supported by appropriate teacher guidance and purposeful learning activities. The findings are also expected to demonstrate that teachers remain essential in selecting suitable applications, adapting digital activities to children’s developmental characteristics, and maintaining meaningful teacherchild interaction. In conclusion, educational applications have the potential to enhance early childhood learning experiences when technology is integrated as a complementary instructional tool rather than a replacement for teacher involvement.
Green Artificial Intelligence Framework for Energy Efficient Smart Agriculture in Tropical Environments Nur-Adib Maspo; David Edmond; Tri Pujiati; Meria Zakiyah Alfisuma
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 2 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i2.230

Abstract

The increasing demand for sustainable agricultural production in tropical environments has encouraged the integration of environmentally responsible digital technologies to address energy consumption and resource inefficiency in smart farming systems. This study proposes a Green Artificial Intelligence framework designed to enhance energy efficiency, optimize agricultural resource utilization, and support sustainable farming practices in tropical regions characterized by high climate variability and ecological sensitivity. The research aims to develop an intelligent and adaptive agricultural model capable of reducing computational energy usage while improving environmental monitoring and decision making processes in precision agriculture. The proposed framework integrates Internet of Things sensors, machine learning algorithms, and energyaware data processing techniques to monitor soil moisture, temperature, humidity, and crop health in real time. A quantitative experimental approach was employed using simulated agricultural datasets and smart sensor data collected from tropical farming environments. The results demonstrate that the proposed Green AI framework significantly reduces energy consumption in data processing operations while maintaining high predictive accuracy and operational efficiency in smart irrigation and crop management systems. Furthermore, the framework improves environmental sustainability by minimizing excessive water and energy usage in agricultural activities. In conclusion, the study high lights the potential of Green Artificial Intelligence as an innovative solution for developing sustainable, resilient, and energyefficient smart agriculture systems that support longterm environmental conservation and food security in tropical regions.
Co-Authors Meria Zakiyah Alfisuma Nur-Adib Maspo Ratih Nur Widyantari Sausan Raihana Putri Junaedi Syahyono Syahyono Tri Pujiati Victoriani