Vol 14 Issue 2 April 2026-June 2026

Abstract: The proliferation of digital commerce has led to an unprecedented rise in corporate domain impersonation and brand abuse, where malicious actors leverage typo squatting, homograph attacks, and sophisticated social engineering to deceive consumers. Traditional detection mechanisms, often reactive and rule-based, struggle to keep pace with the dynamic nature of these threats. This paper proposes a novel Agentic AI-driven framework for the autonomous detection and mitigation of brand-related cyber threats. By employing a multi-agent system (MAS) where specialized agents handle domain scouting, visual brand analysis, and semantic content evaluation, the proposed system achieves high-fidelity detection with minimal human intervention. Our framework integrates advanced machine learning models, including Siamese Neural Networks for logo similarity and Transformer-based models for lexical analysis of URLs. Experimental results demonstrate that the agentic approach significantly reduces the time-to-detection and improves the accuracy of identifying sophisticated impersonation attempts compared to conventional centralized ML models. This research contributes a scalable, autonomous architecture for digital risk protection, offering a proactive defense mechanism for corporate brand integrity.

Keywords: Agentic AI, Machine Learning, Domain Impersonation, Brand Protection, Cybersecurity, Multi-Agent Systems, Phishing Detection.

Title: Machine Learning-Based Detection of Corporate Domain Impersonation and Brand Abuse: An Agentic AI Approach

Author: Muhammad Zaki Ahmad, Asif Ali Khan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 253-256

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Published Date: 16-June-2026

Abstract: This paper aims to develop a conceptual Raikan business model, an innovative B2B2C digital platform, which is designed to address two major issues in the Malaysian Wedding Industry: (1) the primary problems faced by couples; and (2) the primary problems encountered by all wedding service providers (venues, catering services, photography, make-up artists etc.). Currently, couples are experiencing severe pain when searching for wedding related services due to opaque pricing, stressful negotiation processes and increasing living costs. Similarly, wedding service providers experience problems with unbooked inventory, unstable revenue streams during off peak season periods, costly marketing campaigns, and overwhelming inquiry management through multiple social media platforms. The methodology used in this study was the Design Thinking (DT) method, which included conducting a literature review and analyzing the business models of similar existing players in the marketplace using the BMC framework. Surveys will be conducted to identify and define the job to be done, pain points, and gain creating elements. Using the EM, VPC, and a high-fidelity digital platform prototype, an initial prototype of a business model will be developed. Additionally, a Strategy Canvas will be developed to allow comparison of the proposed validated model with other existing solutions. This paper presents a validated conceptual business model that has been specifically designed to provide pain relief and gain creation to modern weddings through several significant features including AI driven dynamic bidding, bundled packages, and digitally integrated Salam Kaut / Ang Pao cash gifting. Future works include developing a complete business plan based on this validated business model.

Keywords: Digital Platform, Business Model, Design Thinking, Wedding Marketplace, Buy Now & Pay Later (BNPL) platforms.

Title: A Conceptual Raikan Business Model: Integrated Reverse-Bidding and Cashless Salam Kaut in Enhancing Wedding Events without Compromising Financial Future

Author: Muhammad Bashyar Bin Kamarul Anuar, Abdul Hakim Bin Abd. Razak, Muhamad Aqil Ikhwan Bin Ab Rahman, Muhamad Adam Muhaimin Bin Shahbani, Abdul Rahman Bin Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 231-252

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Website: www.researchpublish.com

Published Date: 13-June-2026

Abstract: To develop a conceptual business model for NuNite, a digital platform and mobile application, to develop solutions for target customer segments, which are students, working professionals, B40 seekers, and donors, who suffer from fatigue, poor sleeping patterns, and inconsistent adherence to health-promoting behaviors, as a result of busy lifestyles and information overload. Solving these problems is relevant to the 13th Malaysia Plan (13MP), which focuses on the improvement of public health and wellbeing, and the National 4IR Policy, which advocates the use of emerging digital technologies such as Artificial Intelligence (AI) to improve the quality of life. Using basic Artificial Intelligence (AI) technology and user-centric design logic, NuNite is providing a digital health solution that is sustainable and enables people to improve their health. The approach used for this study incorporates the Design Thinking methodology with literature review, competitor Business Model Canvas (BMC) benchmarking, and survey-based validation to understand user needs. The BMC, Value Proposition Canvas (VPC), and Environment Map (EM) were used to develop an initial business model prototype, which was tested using a survey with target customer segments. The validated business model and prototype were then established, and a strategy canvas was created to compare with other established competitors. The results showed that many people want easy health solutions that are personalized and offer little effort. This response was the impetus for the validated business model, which focused on micro-habit interventions and self-guidance as the main components. Building on the research done, future works will focus on developing a complete business plan centred around the validated model.

Keywords: mobile application, B40, fatigue, artificial intelligence (AI), Design Thinking, micro-habits.

Title: A CONCEPTUAL NUNITE PLATFORM BUSINESS MODEL: AI-BASED HEALTH COACHING FOR HABITS, SLEEP, AND NUTRITION

Author: Mohammad Harith bin Azhan, Muhammad Afiq bin Ahmad Nizam, Muhammad Afiq Adli bin Muhd Zhuri, Naila Saleem, Abdul Rahman bin Abdul Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 216-230

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Published Date: 03-June-2026

Abstract: The purpose of this paper is to develop a conceptual business model, called Fath, including a digital platform and Application Programming Interface (API) infrastructure, to solve key challenges regarding data privacy, vendor lock-in, and high inference costs faced by three Customer Segments (CS): (a) Privacy-First Enterprises and Small and Medium-Sized Businesses (SMEs), (b) High-security government agencies and corporations, and (c) AI Startups and cost-focused developers and researchers. Key pains include the prohibitive cost of proprietary APIs and the technical complexity of self-hosting open-source Large Language Models (LLMs). The paper adapts Design Thinking (DT) methodology that include conducting a literature review on Fourth Industrial Revolution (4IR) trends, benchmarking competitors such as OpenAI and AWS using the Business Model Canvas (BMC) framework and conducting surveys to define problems. An initial business model prototype was designed using the Environment Map (EM), BMC, and Value Proposition Canvas (VPC), followed by validation against market needs. Key findings indicate a significant gap for a "privacy-first," cost-effective inference provider. This paper establishes a validated business model where Fath serves as a gain creator by offering drop-in API compatibility with open-weights models. A Strategy Canvas (SC) is created to compare Fath against incumbent players, highlighting its relevance in solving extreme pains related to data sovereignty. Future work includes developing a detailed business plan and deploying the high-fidelity digital platform prototype.

Keywords: Fath, Open-Weights AI, AI Inference, Business Model, Data Privacy, Technopreneurship, API Economy, Large Language Models, Design Thinking.

Title: A Conceptual Fath Business Model: Digital Platform for Accessible, Private, and Open-Weights Artificial Intelligence Inference

Author: MUHAMAD HAZIM ISKANDAR BIN HASSAN NORDIN, MUHAMMAD SAFWAN BIN SAMSUDIN, MUHAMMAD ZULHARIZI BIN ZAFRAN, MUHAMMAD SHAZWAN SHAH BIN MOHD NORHADI SHAH, ABDUL RAHMAN BIN AHMAD DAHLAN

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 203-215

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Website: www.researchpublish.com

Published Date: 02-June-2026

Abstract: This paper proposes a solution of the lost item and finder known as FindBack. It is an integrated of AI matching system with lost-and-found digital platform aimed to improve the efficiency of recovering lost items through a centralized and intelligent system. By using traditional methods like social media postings and manual reporting are usually scattered in many places, time consuming and inefficient. FindBack addresses the issues by implementing machine learning-based image matching, real-time notifications and an important security measure in communication features to connect item owners and item finders. The study adopts Design Thinking methodology supported by Business Model Canvas (BMC) and Value Proposition Canvas (VPC) to develop a platform that work for multi-sided customer segments. This platform delivers value by reducing recovery time of lost item, minimizing user stress, and increasing the chance of retrieving the item to its rightful owner while offering rewards for finders. The platform aligns with global and national initiatives, including Sustainable Development Goals which are SDG 9 and SDG 11, the Malaysia Digital Economy Blueprint (MyDigital) and the National 4IR Policy in which utilizing and focusing on digital innovation and smart services in national industry. In addition, the proposed model demonstrates strong potential for sustainable profitability through scalable revenue streams such as subscription fees, premium services, and commission-based rewards. The findings shows that FindBack platform has potential to enhance urban digital ecosystems and contribute to Malaysia digital economy growth.

Keywords: Lost-and-Found System, Artificial Intelligence, Multi-Sided Platform, Digital Economy, National Policies.

Title: FindBack Conceptual Business Model: AI-Powered Lost-and-Found Digital Platform

Author: Muhammad Haikal Faiq bin Hairulhuda, Muhammad Harith Syafi bin Jasmi, Muhammad Hannan bin Rozlan, Abdul Rahman bin Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 188-202

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Published Date: 01-June-2026

Abstract: The paper puts forward a hypothetical multi-sided digital platform, KiraBot, a WhatsApp-based micro-SaaS application that will help to solve financial management issues among B40 micro-entrepreneurs in Malaysia. The platform is focused on both seeking micro-finance (e.g., MSMEs and informal vendors), and providing micro-finance (e.g., financial institutions and government agencies including Bank Simpanan Nasional, TEKUN, Amanah Ikhtiar Malaysia). Manual bookkeeping practices have led to poor financial tracking, minimal visibility of profits, and access to formal financing by many micro-entrepreneurs. Such problems lead to cash blindness which makes it difficult to sustain and grow the business. The current research is based on the Design Thinking (DT) approach, which includes literature review, study of existing solutions (e.g., POS systems, accounting software, and messaging platforms) benchmarking, and complementation by national projects including Budget 2026 and MyDigital. Results suggest that existing solutions are usually expensive, complicated, and inappropriate with informal micro-vendors. To overcome this gap, KiraBot uses WhatsApp and AI-based chatbots to allow users to record transactions, track their financial performance, and automatically create reports using natural language communication. The business model proposed is created based on Business Model Canvas (BMC) and Value Proposition Canvas (VPC) and tested on user level. KiraBot fits the Fourth Industrial Revolution (4IR) and digital economy agenda of Malaysia and the Sustainable Development Goal 8 (SDG 8: Decent Work and Economic Growth). The platform has a great potential of increasing financial inclusion and empowering B40 micro-entrepreneurs in a digital form.

Keywords:  KiraBot, B40 micro-entrepreneurs (MSMEs), micro-finance seekers, micro-finance providers, WhatsApp chatbot, artificial intelligence, financial tracking, financial inclusion, digital economy, 4IR.

Title: A Conceptual KiraBot Business Model: WhatsApp-Based Micro-SaaS for B40 Financial Inclusion

Author: Muhammad Zulnazmi Rafiqi Bin Azhary, Ali Karami Bin Mat Sukri, Muhammad Syamil Bin Jeffry, Mohamad Imad Addin Bin Jafar, Abdul Rahman Bin Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 169-187

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Website: www.researchpublish.com

Published Date: 27-May-2026

Abstract: Breast cancer remains a critical global health challenge where early and accurate diagnosis is essential for improving survival rates. Conventional diagnostic approaches are often limited by subjectivity and inconsistent accuracy, demanding the need for reliable computer-aided diagnostic systems. This study examined the use of the EfficientNetV2-B0 model, for breast cancer prediction using histopathological images. The images used in this study were obtained from the BreakHis database, which contains images of biopsies at varying levels of magnification that includes both benign and malignant samples. Images underwent comprehensive preprocessing, including size reduction, normalization, and application of augmentation techniques and random cropping to improve generalization. The dataset was divided into a training (70%) and testing (30%) set and all known benign cases were oversampled to eliminate class imbalance between the benign and malignant cases. EfficientNetV2-B0 was utilized to extract features and generate predictions. Additionally, ResNet50 and DenseNet121 were also used in this study for comparison purposes with EfficientNetV2-B0.  Model training and evaluation were conducted in Python 3.11 using TensorFlow and Keras. Experimental results demonstrate that the EfficientNetV2-B0 model achieved performance of 99% prediction accuracy on the test set with precision of 100% and recall of 99%. In contrast, ResNet50, and DenseNet121 achieved lower accuracies of 89% and 94% respectively. The results demonstrated the robustness and diagnostic reliability of EfficientNetV2-B0 for breast cancer prediction over existing models. The EfficientNetV2-B0 model is therefore, recommended for integration into clinical workflows to assist pathologists, minimize diagnostic errors, and improve patient outcomes through timely and accurate detection

Keywords: Breast cancer prediction, histopathological images, efficientNetV2-B0, transfer learning, deep learning.

Title: A Pre-Trained EfficientNetV2-B0 Model for Breast Cancer Prediction

Author: Samuel Oluwatayo Ogunlana, Olanrewaju Raymond Adeniyi, David Adeola Akinwumi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 159-168

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Website: www.researchpublish.com

Published Date: 27-May-2026

Abstract: Bacteria have existed for approximately 3.8 billion years, predating all multicellular life and establishing the foundational biochemical relationships upon which every subsequent living system depends. They produce roughly half of Earth’s atmospheric oxygen, fix the nitrogen that makes all terrestrial food webs possible, regulate mammalian immune function, synthesise neurologically active compounds, and constitute the majority of genetic material in every human body. Yet the dominant medical and cultural framework of the past century has treated bacteria primarily as pathogens to be eliminated.

This paper applies the Care primitive—the directional impetus for the singular to exist in harmony with the whole that allows it to exist [1]—as an analytical lens to reframe bacterial relationships across scales: from the molecular to the planetary. We argue that the dysfunction model of the Care primitive provides a unified explanatory framework for the cluster of conditions that have risen sharply in industrialised populations over the past century: allergic disease, autoimmune disorders, inflammatory bowel disease, metabolic syndrome, and certain psychiatric conditions. These are not unrelated epidemics. They are expressions of the same underlying disruption: the severing of ancient Care-oriented relationships between bacteria and their hosts.

The Old Friends Hypothesis [2], the Gut–Brain Axis [3], helminth therapy research [4], faecal microbiome transplantation [5], and cross-species allergy studies [6] all converge on the same conclusion the Care primitive predicts: systems calibrated by ancient cooperative relationships dysfunction when those relationships are removed. Wild animals do not get allergies. Domestic animals increasingly do. Humans living in the most thoroughly sanitised environments carry the highest burden of inflammatory disease in recorded history.

We conclude that the most significant medical advances of the coming century may not be new weapons in the war on bacteria. They may be carefully targeted restorations of the relationships the war destroyed.

Keywords: Care primitive, microbiome, Old Friends Hypothesis, allergy, autoimmunity, gut–brain axis, biocentric stewardship, dysbiosis, helminth therapy, faecal microbiome transplantation, Care vs. War series.

Title: The Relational Bacterium: From Pathogen to Planetary Partner

Author: Andrew Philps

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 149-158

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Website: www.researchpublish.com

Published Date: 27-May-2026

Abstract: The rising cost of living and increasing levels of food waste present significant economic and environmental challenges in Malaysia. Retailers frequently incur losses due to unsold near-expiry and slightly defective products, while consumers, particularly students and low to middle-income groups, struggle to afford daily necessities. This paper proposes RevieCart, a hyperlocal digital marketplace that connects retailers with nearby price-sensitive consumers by offering discounted near-expiry and defective goods at up to 50% or more below original prices. The platform integrates location-based services to display real-time deals within a defined radius and supports both self-pickup and delivery through third-party logistics providers. The objectives of this paper are to reduce retail-level waste, enhance affordability, and promote sustainable consumption practices. A mixed-method approach is employed, including literature analysis and user perception insights, to validate the feasibility of the proposed solution. The expected outcome is a scalable and sustainable platform that benefits both consumers and merchants while aligning with broader environmental goals. RevieCart demonstrates the potential of leveraging hyperlocal commerce to transform excess inventory into economic value and social impact. Future works will extend this concept into an executable operational framework with pilot testing across residential and campus zones.

Keywords: Hyperlocal marketplace, food waste reduction, price-sensitive consumers, digital platform, sustainability, near-expiry products, business model.

Title: A Conceptual RevieCart Business Model: A Digital Marketplace for Near-Expiry and Defective Goods towards Zero-Waste

Author: Hanis Binti Azhar, Fadhilah Binti Abd Mun’em, Aliya Nasuha Binti Shahrom Nizam, Aizatul Mazni Binti Mazlan, Abdul Rahman Bin Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 133-148

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Published Date: 25-May-2026

Abstract: This paper develops a conceptual business model called MConnect, a mosque-anchored digital platform and mobile application designed to solve key challenges faced by three customer segments: Service Seekers (Muslim families, elderly, disabled, muallaf), Service Providers (B40, housewives, youth, retirees), and Sponsors/Donors (NGOs, CSR, individuals). While households struggle to find trusted, halal-compliant home service providers, B40 providers face irregular income and low visibility, and mosque committees lack digital tools to turn community trust into economic opportunities. These problems hinder Malaysia’s national agendas such as 13MP (2026–2030), Budget 2026, MyDigital, and the National 4IR Policy that emphasise digital inclusion, gig economy formalisation, and B40 empowerment. The study applies Design Thinking methodology, including literature review, benchmarking of existing platforms using the Business Model Canvas, and interviews/surveys with all three customer segments. An initial business model was developed using the Business Environment Map (EM), Business Model Canvas (BMC), and Value Proposition Canvas (VPC), together with a high-fidelity app prototype. The model was tested, validated, and refined through further feedback. A Strategy Canvas was created to compare MConnect with leading competitors. Key findings show that anchoring the platform in mosques creates deep trust, reduces search friction, and generates revenue from all three segments. MConnect offers a community-driven, digitally inclusive solution that directly supports national goals of shared prosperity and gig worker dignity. Future work includes developing a full business plan and MVP based on the validated business model.

Keywords: MConnect, mosque-anchored platform, B40 empowerment, gig economy, digital inclusion, halal services, community trust, shared prosperity.

Title: A Conceptual MConnect Business Model: Mosque-Anchored Digital Platform for Professional Home Services in Malaysia

Author: Muhammad Ammar Raziq Abdul Razak, Muhammad Ikhwan Mat Suhairi, Muhammad Ilham Mohd Hisham, Muhammad Imran Zahidi Mohd Khalil, Abdul Rahman Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 114-132

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Published Date: 25-May-2026

Abstract: Diabetes and hypertension represent the two most prevalent and co-occurring chronic conditions managed by the National Health Service (NHS), collectively generating millions of annual outpatient encounters and prescriptions, with substantial associated medication error rates. Existing prescribing systems are constrained by physician availability, cognitive workload, and an inability to adapt medication regimens dynamically to real-time patient data. This paper proposes an AI-powered prescription optimisation system (AI-POS) for NHS patients with diabetes and hypertension, presenting a comprehensive research framework, system architecture, and ethical analysis. The AI-POS integrates supervised machine learning with NICE clinical guideline rule-based logic to generate patient-specific, evidence-aligned medication recommendations from electronic health record (EHR) data. A mixed-methods research design combines quantitative machine learning model development and evaluation (targeting >90% sensitivity) with qualitative semi structured interviews with NHS clinicians to assess usability, trust, and ethical acceptability. The proposed system employs a human-in-the-loop design philosophy, ensuring clinician override capability and algorithmic transparency at every decision point. Ethical considerations—encompassing algorithmic bias, patient data privacy, clinician trust calibration, and regulatory compliance with MHRA and NHS AI Lab frameworks—are systematically addressed. Early simulation results indicate guideline adherence exceeding 90% and clinician feedback identifies transparency and override mechanisms as critical acceptance factors. The paper contributes a replicable research framework and system design for AI integration into NHS chronic disease prescribing workflows.

Keywords: artificial intelligence, prescription optimisation, NHS, diabetes, hypertension, machine learning, NICE guidelines, electronic health records, human-in-the-loop, clinical decision support.

Title: AI-Driven Prescription Optimisation for Diabetic and Hypertensive Patients in the NHS: A Mixed-Methods Research Framework, System Design, and Ethical Analysis

Author: Chinonso Job, Ifesinachi Ignatius Nwankwo, Onwe Festus Chijioke

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 108-113

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Published Date: 25-May-2026

Abstract: This paper aims to explore our development on a business model for Campus Skill Marketplace.  This business model aims to tackle the challenges of helping students and graduates around campus to utilize their skills in an effort to be employed. The business caters to not only students but also employers that are looking for suitable employees that fit within their business demands. The model aligns with the national goal stated in MOHE Entrepreneurship Integrated Education. The initiative aims to integrate entrepreneurship into higher education. This paper uses Design Thinking Methodology to gain insights and knowledge on how to build a business model, DT involves a systematic literature review and the benchmarking of the existing market players using the Business Model Canvas. Problems definition and customer insights are gained through primary research that includes interviews and surveys. For the ideation and design phase, the development of an initial business model is created through usage of Environment Map, BMC, and Value Proposition Canvas, that is complimented with a high fidelity digital platform and app prototype. For benchmark, a Strategy Canvas is used to compare the validated model with key local and global competitors. The goal of this paper is to establish a valid conceptual business model that digital platform and associated services may alleviate some of the pains of the standard business model and to allow creators to be active in its field. 

Keywords: Business Models, Digital Platform, Market Dynamics, Gig Economy, Student Employability, Design Thinking.

Title: A Conceptual Skill Marketplace Business Model: Enhancing Students and Graduates Employability via Digital Platform

Author: MUHAMMAD AIDID DANIAL BIN KAMARUDDIN, MUHAMMAD NAJIB BIN MOHD AZIZ, IQMAL HAKIM BIN ISHAK, HAFIZ ISKANDAR BIN MD HISHAM, ABDUL RAHMAN BIN AHMAD DAHLAN

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 92-107

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Published Date: 22-May-2026

Abstract: This paper proposes a conceptual business model called KiddoTrack, a digital platform and mobile application designed to improve the safety, efficiency, and transparency of child pickup processes. The system targets key customer segments (CS), namely parents or legal guardians (CS1), schools or school administrators (CS2), and pickup service providers (CS3). Current challenges include lack of real-time visibility, risk of unauthorized pickups, inefficient manual verification methods, and poor coordination among stakeholders. These issues also limit the alignment with national digital transformation initiatives such as Malaysia’s 13th Malaysia Plan (13MP), MyDigital, and the National Fourth Industrial Revolution (4IR) Policy, which emphasize smart, secure, and connected systems. This study adopts the Design Thinking (DT) methodology, including literature review, benchmarking of existing platforms such as Anak2U and IN Safe Child App using the Business Model Canvas (BMC), and data collection through interviews or surveys. Based on the findings, an initial business model and high-fidelity digital platform prototype are developed using tools such as the Environment Map (EM), Value Proposition Canvas (VPC), and BMC. The prototype is then tested and validated with target users. A Strategy Canvas is also constructed to compare KiddoTrack with existing market solutions. The key contribution of this paper is the development of a validated conceptual business model that integrates digital platform features such as real-time child pickup tracking, QR-based verification, and instant notifications as effective pain relievers, while offering gain creators such as increased safety, convenience, and operational efficiency. The proposed solution addresses critical user needs while supporting national and global digital transformation goals. Future work includes the development of a detailed business plan and implementation strategy.

Keywords: Child Pickup System, KiddoTrack, Digital Platform, Business Model Canvas, Child Safety, Design Thinking.

Title: A Conceptual KiddoTrack Business Model: A Safer and Predictable Operations for School Children Pickup Process

Author: Sherina Suparman, Hannah Rushdan, Hani Norazilan, Aisha Aljuboori, Abdul Rahman Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 78-91

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Published Date: 19-May-2026

Abstract: Current global food waste management faces significant challenges as households struggle to track food inventory and monitor expiry date efficiently leading to unnecessary food disposal and financial loss. Existing solutions are often manual and fragmented which create a need for an integrated and automated approach to support smarter food consumption. To address these challenges, this paper proposes PantryPal, an AI-powered platform designed to streamline food management through an automated ecosystem by utilizing barcode technology and AI system to automatically log items and monitor expiry date efficiently. The study involved conducting through literature review, competitive benchmarking and user interview to identify key challenges, followed by developing prototyping, Business Model Canvas (BMC), Value Proposition Canvas (VPC), Environmental Map (EM) and Strategy Canvas (SC). This research contributes to sustainability by aligning with United Nations Sustainable Development 12, responsible consumption and production and national digital transformation agendas which ultimately help users reduce financial waste and environmental impact through intelligent meal planning. In order to assist the actual implementation, scalability, and long-term sustainability of the PantryPal solution, further work will concentrate on creating a thorough business plan based on the verified Business Model Canvas (BMC).

Keywords: PantryPal; Food Waste Management; Artificial Intelligence (AI); Barcode Scanning; Recipe Generator; Expiry Date Tracking; Business Model.

Title: PANTRY-PAL CONCEPTUAL BUSINESS MODEL: AN INTEGRATED EXPIRY SCANNER AND RECIPE GENERATION PLATFORM

Author: Nur Aini Hani binti Shockravaraty, Siti Aishah binti Abdul Aziz, Irdina Nabilah binti Asmadi, Sharah Dayini binti Shaharuddin, Abdul Rahman Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 63-77

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Published Date: 19-May-2026

Abstract: Kenya has heavily spent considerably in e-government systems with the aim of ensuring an efficient, transparent and accessible public services for full realization of vision 2030. Nevertheless, the performance of e-government systems has always been facing several challenges. Therefore, the study evaluated the moderating role of regulatory framework on the relationship between ICT dynamics and e-government performance within the Ministry of Education. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used to guide the study. A sum of 14 e-government systems used by the Ministry of Education were evaluated applying descriptive and explanatory research designs. The census approach comprised principal ICT officers, senior ICT officers, ICT officers 1 and 2, assistant ICT officers, and the individuals using e-government systems. A semi-structured questionnaire was used in gathering primary data, whereas quantitative data assessments included used of descriptive (mean and standard deviation) and inferential measurements (correlation and regression). The regulatory framework contributed to significant moderating effect on relationship between ICT Dynamics and performance of e-government systems. The study finds that regulations assist the Ministry of Education in evaluating the effects of electronic systems on educational outcomes and service provision. The study suggests that the Ministry establish a policy framework defining objectives, scope, and operational guidelines for e-government systems in education. This framework should incorporate the dynamism of data privacy measures, security protocols, and access controls.

Keywords: ICT Dynamics, Regulatory framework, Performance.

Title: MODERATING EFFECT OF REGULATORY FRAMEWORK ON THE RELATIONSHIP BETWEEN INFORMATION COMMUNICATION TECHNOLOGY DYNAMICS AND PERFORMANCE OF E-GOVERNMENT SYSTEMS

Author: Mutua Kimanthi Francis, Prof. Rosemary James, Dr. David Nzuki

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 14, Issue 2, April 2026 - June 2026

Page No: 57-62

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Website: www.researchpublish.com

Published Date: 12-May-2026