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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CSRID (Computer Science Research and Its Development Journal) CCIT (Creative Communication and Innovative Technology) Journal ADI Journal on Recent Innovation (AJRI) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) ProBisnis : Jurnal Manajemen International Journal of Cyber and IT Service Management (IJCITSM) Startupreneur Business Digital (SABDA Journal) Jurnal Manajemen Informatika Medicom (JMI) International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application JOT
Fitra Putri Oganda
Universitas Raharja
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Digital Innovation in Smart Waste Sorting Using Renewable Energy for Sustainable Startups Untung Rahardja; Nuke Puji Lestari Santoso; Fitra Putri Oganda; Muchlishina Madani; Muhamad Stabil Tanwin Saputra
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.v5i1.1063

Abstract

The accumulation of inorganic waste in urban environments requires inno- vative technological solutions that support the Sustainable Development Goals (SDGs), particularly SDG 11 (Sustainable Cities and Communities) and SDG 12 (Responsible Consumption and Production). Smart waste management systems integrating Artificial Intelligence (AI) and the Internet of Things (IoT) have emerged as promising digital innovations to improve waste sorting efficiency. This study presents the development of a smart waste sorting system called Orange Box, designed to support sustainable startup initiatives in environmental technology. A major challenge in deploying IoT-based devices in outdoor public areas is the limited availability of conventional electrical infrastructure, where reliance on extension cables is inefficient and potentially unsafe. Therefore, this research aims to design and evaluate an independent off-grid electrical system based on renewable energy to ensure continuous operation of the device. The proposed system utilizes solar panels as the primary energy source, with energy conversion and distribution managed through a 500W inverter and a 20A Power Supply Unit (PSU) that supplies power to a Raspberry Pi 5–based control system. Experimental measurements indicate that the system operates with an average power consumption of approximately 10–12W and reaches a peak load of 17.17W during active waste sorting operations. The estimated daily energy consumption ranges from 288Wh to 338Wh when considering inverter efficiency. These findings demonstrate that integrating renewable energy infrastructure with IoT-based smart waste sorting technology represents a viable digital innovation to support sustainable startups while contributing to SDG 7 (Affordable and Clean Energy).
Self Learning AI and Big Data for Resilient Cybersecurity in Distributed Networks Aswadi Jaya; Suca Rusdian; Fitra Putri Oganda; Tuti Nurhaeni; John Edwards
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/kz2w4z84

Abstract

The rapid expansion of large scale computer networks driven by cloud infrastructures, Internet of Things environments, and distributed digital services has significantly increased the complexity of cybersecurity threats. Traditional rule based security systems often struggle to detect evolving and previously unseen attacks within high volume network traffic. This study proposes a self learning artificial intelligence approach designed to enhance threat detection capability in large scale computer networks by leveraging adaptive learning mechanisms and large scale network data analysis. The proposed framework integrates machine learning models with big data processing techniques to continuously learn from network traffic patterns, behavioral anomalies, and historical security events. Through automated feature extraction and iterative model refinement, the system dynamically improves its ability to identify malicious activities without relying solely on predefined signatures. This study adopts a qualitative conceptual evaluation approach to examine the proposed self-learning artificial intelligence and big data framework for cybersecurity resilience in distributed computer networks. The evaluation is conducted through literature synthesis, comparative analysis of existing intrusion detection approaches, architectural modeling, and conceptual validation of the proposed framework against key cybersecurity requirements, including adaptability, scalability, continuous learning, and detection coverage for known and unknown threats. The system also shows strong scalability in processing high volume network data while maintaining stable detection performance. These results indicate that integrating self learning artificial intelligence with scalable data processing can strengthen cybersecurity resilience in large scale computer networks and support the development of more adaptive and intelligent network defense mechanisms for future digital infrastructures.
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 Influence of Brand Awareness and Social Media Marketing on Purchase Intention through Brand Trust Marviola Hardini; Qurotul Aini; Fitra Putri Oganda; Sheila Aulia Anjani; Richard Andre Sunarjo
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 2 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i2.719

Abstract

The rapid development of digital technology has transformed how businesses interact with consumers, making brand awareness is an important strategy to strengthen brand presence and influence consumer behavior in online environments. In increasingly competitive digital markets, companies must build strong and credible brand images to foster consumer confidence and encourage purchasing decisions. This study aims to analyze the effect of brand awareness on purchase intention through brand trust as a mediating variable. A quantitative research approach is employed using a survey method to collect data from 135 consumers who interact with brands through digital platforms, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the relationships between brand awareness, brand trust, and purchase intention. The results of the study reveal that brand awareness has a significant positive effect on brand trust and purchase intention, while brand trust also significantly influences consumers’ purchase intention and acts as a mediating variable between brand awareness and purchase intention. These findings indicate that effective brand awareness strategies not only improve brand visibility but also enhance consumer trust, which ultimately increases the likelihood of consumers making purchasing decisions. Therefore, this study provides theoretical contributions to the field of digital marketing by explaining the mediating role of brand trust in the relationship between digital branding and purchase intention, while also offering practical implications for businesses to strengthen digital branding strategies in order to build stronger consumer trust and improve market competitiveness in the digital era.
Digital Business Strategy in 3D Laser Startupreneur through the DAGMAR Framework Muh Tahir; Nuke Puji Lestari Santoso; Fitra Putri Oganda; Syahrul Mu'Arif Wahid; Harry Agustian; Oliver Sauntos
Technomedia Journal Vol 11 No 1 (2026): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v11i1.2661

Abstract

Rapid development of digital technology requires startupreneurs to optimize marketing strategies to strengthen consumer loyalty, particularly in emerging industries such as 3D Laser services. This study aims to analyze the effect of DAGMAR based digital marketing, represented by Brand Awareness, Product Information Understanding, and Digital Content Attractiveness, on Product Interest and its implication for Purchase Loyalty in the 3D Laser startupreneur context. This research employed a quantitative approach using a survey method involving 100 respondents. The collected data were analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS) to examine the direct and indirect relationships among the research variables. The findings indicate that Brand Awareness, Product Information Understanding, and Digital Content Attractiveness have positive and significant effects on Product Interest. Furthermore, Product Interest has a positive and significant effect on Purchase Loyalty. The mediation test also confirms that Product Interest significantly mediates the relationship between the three independent variables and Purchase Loyalty. These results emphasize that Product Interest serves as a psychological mechanism connecting DAGMAR  based digital marketing strategies with longterm consumer loyalty. Enhancing Brand Awareness helps consumers recognize and recall the brand, while Product Information Understanding supports informed decision making through clear and relevant product details. Digital Content Attractiveness captures attention and encourages engagement through visual and interactive content. Practically, startupreneurs in the 3D Laser industry should integrate data driven digital marketing strategies to build stronger consumer relationships, encourage repeat purchases, and foster positive word-of-mouth for sustainable business growth.
Pengaruh Digital Marketing Communication terhadap Brand Awareness Produk Parfume Orchidee Noire Richard Andre Sunarjo; Fitra Putri Oganda; Hikmal Baedowi; Marviola Hardini
Jurnal Manajemen Informatika Medicom (JMI) Vol. 13 No. 2 (2026): SEPTEMBER: Jurnal Manajemen Informatika Medicom (JMI)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menganalisis pengaruh Flash Sale, Diskon, Gratis Ongkir, dan electronic word of mouth (e-WOM) terhadap brand awareness Parfume Orchidee Noire dengan pendekatan Partial Least Squares Structural Equation Modeling (PLS-SEM). Data dikumpulkan melalui kuesioner daring terhadap 114 pengguna aktif Shopee yang mengetahui produk tersebut. Analisis dilakukan melalui evaluasi outer model (convergent validity, discriminant validity, dan construct reliability) serta evaluasi inner model (R² dan pengujian hipotesis melalui bootstrapping). Hasil menunjukkan bahwa Diskon (β = 0.267) dan Gratis Ongkir (β = 0.361) berpengaruh positif signifikan terhadap brand awareness, sedangkan Flash Sale dan e-WOM tidak berpengaruh signifikan. Temuan ini mengindikasikan bahwa stimulus ekonomi langsung berupa potongan harga dan pembebasan ongkos kirim merupakan faktor utama dalam membentuk kesadaran merek parfum lokal di marketplace.
Digital Transformation in Supply Chain for Business Operational Efficiency: Transparansi dan Efisiensi Pengembangan Startupreneur pada Keuangan Digital Berbasis Teknologi Blockchain Adam Faturahman; Nugroho Prihantoni Wibowo; Fitra Putri Oganda; Jihan Zanubiya; Thomas Green
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1239

Abstract

The integration of digital technology with marketing strategies plays a crucial role in improving supply chain efficiency while strengthening customer satis- faction in an increasingly competitive business environment. This study aims to evaluate the contribution of digital tools such as automation, the Internet of Things (IoT), and data analytics in optimizing supply chain processes and iden- tify how such integration impacts customer perceptions and loyalty. Using a quantitative approach involving a survey of industry players, the study reveals that the adoption of digital technology not only accelerates distribution flows and improves demand accuracy but also strengthens responsiveness to consumer needs. The findings indicate that operational efficiencies achieved through digi- talization can be directly linked to increased customer satisfaction through faster, more transparent, and personalized service experiences. However, challenges such as high initial investment costs and internal resistance remain key barriers. Therefore, successful digital transformation in the context of supply chains and marketing requires a careful integration strategy focused on the long term. This study provides practical recommendations for companies in developing adap- tive, efficient, and customer-centric supply chain systems.
Human Centered Analysis of Digital Technology and Community Social Well Being Fitra Putri Oganda; Pratibha Pandey; Syifa Wulandari; Sipah Audiah; Yasir Mustafa Kareem
Journal of Orange Technology Vol. 2 No. 1 (2025): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i1.45

Abstract

The increasing integration of gamification into mobile applications has transformed digital platforms into interactive environments that shape users emotional experiences. Within the framework of positive computing, gamified mobile applications are increasingly designed not only to enhance engagement but also to foster psychological well-being. This study investigates how gamified mobile applications function as drivers of user happiness in positive computing environments. A quantitative research design was employed using survey data collected from 120 active users of gamified mobile applications across diverse demographic backgrounds. Key gamification elements rewards, challenges, feedback mechanisms, and social interaction were modeled as predictive constructs of user happiness. Happiness levels were measured using a validated well-being scale, and the proposed relationships were examined through structural equation modeling (SEM). The findings indicate that gamified mobile applications exert a significant positive influence on user happiness, with reward systems and social interaction emerging as the strongest contributors. These results suggest that gamification operates as an affective design mechanism that enhances enjoyment, intrinsic motivation, and perceived social connectedness. The study contributes to the positive computing literature by providing empirical evidence that thoughtfully designed gamified systems can promote emotional well-being beyond functional performance outcomes. Practically, the findings offer strategic guidance for developers and policymakers seeking to design mobile applications that prioritize sustainable happiness and human-centered digital innovation.
Digital Twin Technology for Smart Campus Management in Higher Education Untung Rahardja; Fitra Putri Oganda; Galih Putra Cesna; Yasir Mustafa Kareem
International Transactions on Education Technology (ITEE) Vol. 5 No. 1 (2026): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v5i1.1119

Abstract

Universities are under pressure to modernize how they manage their campuses, and Digital Twin (DT) technology, a continuously updated virtual replica of a physical campus environment, has become one of the most closely watched tools for doing this. Interest in the topic is growing quickly across education-technology, cybersecurity, and digital-infrastructure journals, yet much of the evidence remains scattered across single-institution case studies. This study brings that evidence together through a qualitative systematic literature review of studies published between 2021 and 2025, combined with verified, real-world implementation data from universities in Spain, the United Kingdom, the United States, Thailand, and South Korea. The reviewed case studies report improvements in facility optimization, energy efficiency, classroom utilization, and emergency response planning, with documented energy savings ranging from about 5% under baseline automation upgrades to more than 60% for targeted lighting control. Infrastructure investment, system interoperability, data privacy, and cybersecurity remain significant barriers, particularly for resource-constrained institutions. To help close the gap between research findings and practical adoption, this paper proposes a five-layer DT smart-campus architecture and a tiered cost-adoption framework, and connects the findings to the United Nations Sustainable Development Goals (SDG) 4, 7, 9, and 11, as well as to Indonesian national research and higher-education digitalization policy. Overall, DT technology offers strong, empirically supported potential for smart campus development, provided it is backed by adequate digital infrastructure, interoperability standards, and governance.
Co-Authors Adam Faturahman Adrian Sean Bein Agung Alessandro Rossi Ali Djamhuri Amelia Evans Aoliyah Firasati Ariesya Aprillia Asep Sutarman Aswadi Jaya Bist, Ankur Singh Chandra Lukita Desy Apriani Efa Ayu Nabila Evans, Richard Fadhila Azzahra Farida Agustin, Farida Faturahman, Adam Fauziyah, Nida Felix Sutisna Fhia Amelia Fitriani, Anandha Galih Putra Cesna Galih Putra Cesna Giandari Maulani, Giandari Greisy Jacqueline Gunawan Harahap, Eka Purnama Harry Agustian Hartono, Tri Henry Zainarthur Hikmal Baedowi Indri Handayani Indri Handayani, Indri Ita Sari Perbina Manik Jihan Zanubiya Jihan Zanubiya John Edwards Mackenzie Laurens Marviola Hardini Marviola Hardini Maulana Abbas Mey Anggraeni Miftakhul Khasanah Mochamad Heru Riza Chakim Mohamad Agus Setiawan Muchlishina Madani Muchlisina Madani Muh. Tahir Muhamad Fabio Muhamad Stabil Tanwin Saputra Muhammad Rehan Anwar Mulyati Mulyati Mumen, Md. Abdul Naomi Lyraa Natalia, Ester Ananda Nesti Anggraini Santoso Ninda Lutfiani Noah Rangi Nugroho Prihantoni Wibowo Nuke Puji Lestari Santoso Nur Azizah Nur Ihsan Permadi Nurjanah, Lina Oliver Sauntos Padeli Pangestu, Anggit Panji Po Abas Sunarya Pramono, Bayu Pratibha Pandey Purnomo, Andri Cahyo Qurotul Aini Qurotul Aini Ramiro Santiago Ikhsan Rawat, Bhupesh Retno Setyaningrum Reyhan Algiffary Gunawan Richard Andre Sunarjo Richard Andre Sunarjo Rifqa Nabila Muti Riya Widayanti Rudi Edi Santoso Sabda Maulana Salam, Rahmat Sandy Setiawan Santoso, Nuke Puji Lestari Sausan Raihana Putri Junaedi Sheila Aulia Anjani Shofiyul Millah Shofiyul Millah Sihotang, Sondang Visiana Sipah Audiah Sondang Visiana Sihotang Sri Rahayu Suca Rusdian Sudaryono Sudaryono Sunengsih, Meriyana Syahrul Mu'Arif Wahid Syifa Wulandari Syifa Wulandari Tarisya Ramadhan Tarisya Ramadhan Tessa Handra Tessa Handra Tessa Handra Thomas Green Titih Nursugiharti Tri Wahyuningsih Tuti Nurhaeni Untung Rahardja Vivi Meilinda Wiliams, Alexander Williams, Jack Winanti Yasir Mustafa Kareem Yusuf Abdurachman Zebua, Selamat