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IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Published by Pandawan Sejahtera Indonesia
ISSN : 26866285     EISSN : 27150461     DOI : https://doi.org/10.34306/itsdi
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology
IAIC Transactions on Sustainable Digital Innovation (ITSDI e-ISSN : 2715-0461 , p-ISSN : 2686-6285 ) managed by Indonesian Association on Informatics and Computing (IAIC) and supported by Alphabet Incubator . ITSDI provides media to publish scientific articles from scholars and experts around the world related to the Computer Science/informatics, Computer engineering/computer systems, Software Engineering, Information Technology, and Information Systems, Circular Digital Economy, Cyber Security, Data Science, and Artificial Intelligence topics. All URL of published articles will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 126 Documents
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OBH X Positioning Strategy based on Perceptual Mapping and SWOT Analysis Fadoli, Deki Ilham; Wulandari, Sari
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.668

Abstract

This study aims to describe the right OBH X marketing positioning strategy for the pharmaceutical industry. This study uses a quantitative method. The data sources used in this study are consumers who have consumed at least three brands of cough medicine, OBH X product managers and internal company data. The data collection technique in this study is in the form of a questionnaire dis- tributed to 150 respondents in 3 different regions. The data analysis technique was carried out in a multidimensional and SWOT analysis. Multidimensionality is used to see the brand’s position against competitors. Meanwhile, SWOT anal- ysis is used to identify factors that can be used as a positioning strategy. Based on the results of the research, the positioning strategy applied can be applied to increase OBH X sales in region A by reducing product side effects, adding fla- vor variants and maintaining the efficacy variant of OBH X. Region B of OBH X products cannot be evaluated because there is a gap in predetermined attributes. Meanwhile, in region C, OBH X products are still competing with other prod- ucts. The positioning strategy that can be applied in region C is by maintaining OBH X products using glass bottles, making articles and publishing about the advantages of glass bottle packaging on OBH X products Indonesia.
The Power of Celebrity Endorsements: Examining the BarenBliss Brand Image among TikTok Users Aprianto, Ronal; Surajiyo, Surajiyo; Suwarno, Suwarno; Santia, Yeyen
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.671

Abstract

The purpose of this study is to ascertain how the Barenbliss brand is impacted by the visibility, credibility, attraction, and power of celebrity endorsers among Lubuklinggau Private University TikTok users. With a sample of 150 students who used the TikTok app, the study's population consisted of all enrolled private university students, or roughly 2057 students. The Smart PLS 3 analysis tool is used in this study's quantitative data processing methodology. The study's findings indicate that, first, the visibility variable of celebrity endorsers has no effect on the Barenbliss brand image; second, credibility positively affects brand image; and third, attraction has no effect on brand image. Brand Image, fourth, demonstrates that strength has a significant impact on brand image; fifth, it has positive significance because the t-statistic value of Visibility (X1) and Credibility (X2) on Brand Image (Y) is t-count greater than t-table; sixth, it has positive significance because the t-statistic value of Attraction (X3) and Power (X4) on Brand Image (Y) is greater; seventh, it is negative because the t-statistic value is smaller than the t-table; ninth, it is positive because the t-statistic value is smaller than the t-table; and, for testing all variables X against variable Y, significant positive results are obtained because the t-value-statistics is greater than the t-table.
Digital Tele-Counseling for Sustainable Maternal Health Services in Indonesia Focus on Telelactation Dewanti, Lintang Purwara; Sitoayu, Laras; Idarto, Areta
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.673

Abstract

Breastfeeding is essential for infant health and development, yet Indonesia faces challenges in meeting global breastfeeding targets. This review examines the potential of tele-counseling (telelactation) as a solution to improve breastfeeding support in the digital era, focusing on overcoming geographical and service delivery barriers. A systematic literature search covering PubMed, Scopus, Google Scholar, and local Indonesian journals identified 25 articles from 2019 to 2023, with 14 unique studies meeting inclusion criteria. Findings indicate that telelactation primarily utilizes WhatsApp groups, Androidbased apps, and online counseling sessions, resulting in improved breastfeeding techniques, increased exclusive breastfeeding rates, and enhanced maternal knowledge. However, privacy concerns and technological barriers persist, though these are addressed through specialized training and ongoing support for healthcare providers. Telecounseling demonstrates promise in supporting breastfeeding in Indonesia, though further research is needed to address geographical limitations and assess longterm impacts. Integrating telecounseling into national breastfeeding policies could significantly advance maternal and child health outcomes in Indonesia.
Optimizing User Interface of MBKM Information System & Academic Services using Design Thinking Method (Case Study: Tadulako University) Reinaldy Mansa, Jeremy; Anggun Pratama, Septiano; Wirdayanti, Wirdayanti; Angreni, Dwi Shinta
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.676

Abstract

This study addresses the usability challenges faced by Tadulako University's MBKM & Academic Services Information System (SITAMPAN), developed in response to the Ministry of Education’s Merdeka Belajar - Kampus Merdeka (MBKM) initiative. By applying a structured Design Thinking approach, this research seeks to present a novel solution for enhancing user experience and system usability in educational information systems. Through the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) evaluations, initial findings indicated a low usability score (SUS: 41.75, grade "F"), categorizing the system as a "Detractor" in the Net Promoter Score (NPS) framework. Following the implementation of user centered design improvements, the SUS score increased substantially to 86.25 ("A" grade), with NPS shifting to a "Promoter" classification, while UEQ scores showed marked improvement across all metrics. This study demonstrates the effectiveness of Design Thinking in systematically addressing and optimizing the user experience, providing valuable insights for future information system developments in educational contexts.
Design Thinking for Kami Peduli Website to Mobilize Community Disaster Response Nanda, Rifqi; Anggun Pratama, Septiano; Pusadan, Mohammad Yazdi; Anshori, Yusuf
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.677

Abstract

Central Sulawesi, particularly Palu City, is a disaster-prone area with communities lacking sufficient knowledge and preparation for natural disaster risks. This study aims to develop a sustainable digital platform that enhances community preparedness through a user-friendly and engaging website design. By applying the Design Thinking method, the platform integrates sustainable digital innovation to provide essential information on disaster-prone areas, volunteer opportunities, and donation channels. The platform’s design prioritizes efficient use of digital resources to minimize environmental impact, supporting long-term resilience and community mobilization. Utilizing both qualitative and quantitative approaches, data was gathered through questionnaires and interviews with PMI staff, volunteers, and the public. The Design Thinking stages: Empathize, Define, Ideate, Prototype, and Test, were employed to create a responsive and effective user experience. SEQ testing results revealed an average usability score of 4.25, highlighting the platform's ease of use. This project contributes to sustainable innovation in disaster preparedness by leveraging digital resources to empower communities in Central Sulawesi.
Machine Learning for the Next Generation: A Guide to Matchmaking at Startups Fahrudin, Rifqi; Hatta, Muhammad; Yulianti, Yulianti; Erwin, Erwin; Zelene, Aurelie
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.678

Abstract

In todays rapidly evolving digital landscape, the success of startups depends heavily on their ability to innovate and form effective partnerships. The process of connecting startups with compatible business partners is crucial, and Machine Learning (ML) has emerged as a promising solution for enhancing this matchmaking. This study utilizes the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to examine attitudes and intentions toward adopting ML for startup matchmaking. Key factors assessed include Performance Expectancy (PE), Ease of Use (EU), Social Influence (SI), and Facilitating Conditions (FC) that affect ML adoption. Using Structural Equation Modeling (SEM), this research analyzes a diverse sample of startups, focusing on variables like Machine Learning Adoption, Data-Driven Matchmaking Strategies, Alignment with Startup Goals, Continuous Learning Integration, and Adaptable Partnerships to evaluate their impact on Matchmaking Efficiency. This study aims to shed light on ML role in enhancing the startup matching process and its overall impact on partnership effectiveness.
Understanding Air Pollution Through Machine Learning: Predictive Analytics for Urban Management Saputra, Didi Rahmat; Nugroho, Hadi; Julianingsih, Dwi; Queen, Zabenaso
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.679

Abstract

Air pollution poses a critical challenge in urban areas, including Indonesia, significantly affecting public health and the environment. While machine learning (ML) has been used to predict air pollution levels, integrating ML with urban management strategies for actionable policy recommendations remains underexplored. This study employs structural equation modeling (SEM) using SmartPLS to analyze air pollution metrics, ML predictive analytics, urban management strategies, environmental data sources, and policy recommendations. Based on responses from 400 experts in environmental science and urban management, the findings reveal that ML-driven insights significantly enhance urban management strategies and policy effectiveness. The study concludes by providing evidence-based recommendations for policymakers to improve air quality in urban areas, emphasizing the importance of integrating ML and data-driven approaches into sustainable urban management. These findings contribute to addressing Indonesia urgent air pollution crisis and advancing urban sustainability.
Recent Developments in Healthcare Through Machine Learning and Artificial Intelligence Royani, Royani; Maulina, Sondang Deri; Sugiyono, Sugiyono; Anugrah, Rio Wahyudin; Callula, Brigitta
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.680

Abstract

This research is a review of recent advancements in the utilization of Machine Learning (ML) and Artificial Intelligence (AI), emphasizing their significant developments across diverse application domains. The purpose of this study is to provide a comprehensive understanding of these technologies and their transformative potential. To achieve this, we conducted an extensive analysis of scholarly literature and case studies, focusing on key applications and recent trends in AI and ML. Our findings reveal critical advancements, particularly in sectors such as business, healthcare, and automation, showcasing the profound impact of these technologies on innovation and operational efficiency. The review also highlights persistent challenges, including ethical concerns, data privacy, and infrastructure requirements. These insights are intended to assist stakeholders in identifying opportunities for the effective implementation and future development of AI and ML applications, ensuring their continued contribution to technological progress.
Evaluation Zero Runoff Concept in High-Rise Buildings Abadan, Achmad Chakim; Kurniyaningrum, Endah; Rinanti, Astri; Pontan, Darmawan
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.683

Abstract

The increasing need for land in urban areas has led to a reduction in green open spaces, limiting water infiltration and increasing surface runoff. Office areas in South Jakarta currently under construction exacerbate these issues due to limited green land. This study evaluates the application of the zero runoff concept by analyzing two key aspects: surface runoff and building wall contributions. Hydrological simulations were conducted to assess planned flood conditions at outlets before and after the construction of tall buildings (offices), with water management strategies involving infiltration wells, infiltration ponds, rainwater reservoirs, and detention reservoirs. Two scenarios were analyzed: the first based on the 95th percentile rainfall volume and the second on flood contribution volumes. Each scenario considered three water runoff management systems: normal outlets, orifice outlets, and pump-assisted drainage. The results show that under the 95th percentile volume, the zero runoff concept is achievable with a capacity exceeding 100% for both scenarios. However, when accounting for flood contributions, only surface runoff with normal outlet conditions meets the zero runoff criteria, achieving a capacity of 112%. Simulations using three models: 1A, 2A, and 3A, demonstrate that pre-construction conditions, characterized by green open spaces with dense vegetation, significantly influence runoff management. These findings emphasize the importance of eco-drainage strategies, such as infiltration wells and retention ponds, in mitigating urban runoff and achieving sustainable water management in high-density areas.
Application-based Elementary Schools Interactive Education Platform Analysis and Design Felix, Antonius; Bernanda, Devi Yurisca; Kembau, Agung Stefanus; Effendy, Filberth; Nathaniel, Regan
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 2 (2025): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i2.684

Abstract

The rapid digital transformation fueled by widespread Internet use has significantly impacted education. As of April 2023, there are over 5.18 billion Internet users worldwide, necessitating innovative educational solutions. This study analyzes and designs an interactive educational platform tailored for elementary students aged 7-12, employing technologies such as Artificial Intelligence (AI) and Augmented Reality (AR) to enhance learning. The platform emphasizes user-friendly interfaces and engaging content to boost children's motivation and participation. Despite the potential of digital educational tools, challenges such as unequal access to technology, screen addiction, and the need for improved digital literacy persist. This study addresses these issues by proposing a platform that provides equitable access and delivers high-quality, safe, and educationally rich content. The design process involved a literature review, iterative user interface development, and collaboration with educational professionals to meet the specific needs of young users. By integrating interactive multimedia and contemporary interface technologies, the platform offers a personalized and differentiated learning experience beyond traditional methods. The study highlights the significant potential of digital learning tools in improving education quality for children while addressing access and security challenges. Ultimately, this research aims to develop effective educational technologies that support sustainable education for young learners in the digital age.

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