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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat International Journal of Global Operations Research Jurnal Mandiri IT International Journal of Ethno-Sciences and Education Research Asian Journal of Environmental Research Journal of Scientific Insights Proceeding International Conference on Mathematics and Learning Research
Ekowati, Maria Atik Sunarti
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Religion Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Blockchain Implementation for Data Security in Digital Food Courts: Examining Socio-Economic and Environmental Impacts in the Case of Kestalan’s Digital Transformation Ekowati, Maria Atik Sunarti; Wening , Sri; Rumekso , Ayub Widhi
Asian Journal of Environmental Research Vol. 1 No. 3 (2024): September-December
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/ajer.v1i3.177

Abstract

Blockchain technology has emerged as a transformative solution for enhancing data security in various sectors, including retail sales operations. This study explores its implementation in flexible food courts as part of digital transformation initiatives, focusing on bolstering data security, improving transparency, and streamlining sales processes. Blockchain's decentralized, immutable, and encrypted ledger addresses issues like data manipulation, fraud, and cybersecurity risks, making it particularly suitable for food courts adopting digital payment systems. Using a descriptive case study approach, the research employs interviews, direct observation, and literature reviews to examine blockchain's role in managing digital transactions, cashless payments, and real-time inventory tracking. The findings reveal that blockchain enhances data security by preventing unauthorized access, expediting transactions, and fostering customer trust through transparent, tamper-proof records. It also reduces operational inefficiencies and costs associated with data management and fraud prevention. However, challenges such as high implementation costs and a steep learning curve hinder widespread adoption. Despite these barriers, blockchain provides a robust framework for supporting digital transformation in flexible food courts, particularly among small and medium enterprises (SMEs), by ensuring secure, efficient, and transparent data management. The study recommends developing simpler, more affordable blockchain solutions tailored to SMEs and offering user training programs to facilitate smoother adoption. These advancements could pave the way for broader implementation, enhancing operational efficiency and fostering trust in digital ecosystems.
Design of Geographic Information System Based on Android for Culinary Tourism in Pedan District, Indonesia Ekowati, Maria Atik Sunarti; Widianto, Widianto
International Journal of Global Operations Research Vol. 2 No. 2 (2021): International Journal of Global Operations Research (IJGOR), May 2021
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v2i2.82

Abstract

Pedan City is a sub-district city located in the Klaten Regency area and has always been a culinary tourism object for tourists or residents in the Pedan area and its surroundings. The main problem that arises is when there are more and more culinary attractions in the city of Pedan sub-district, but there is less detailed information about these culinary attractions. The main objevtive of this work is to provide location information tourism in the Pedan area easily and simply because it can be operated anywhere the user is using an android-based mobile device. The method used in this research is the Waterfall method. The results of the study are expected to increase culinary tourism in the city of Klaten district, especially Pedan sub-district, as well as interest for tourists or residents in the city of Pedan sub-district to be interested in visiting culinary tourism objects in the Pedan city area
Comparative Analysis of the Speed of the Sorting Method on Google Translate Indonesian-English Using Binary Search Ekowati, Maria Atik Sunarti; Nindyatama, Zefanya Permata; Widianto, Widianto; Dananti, Kristyanan
International Journal of Global Operations Research Vol. 3 No. 3 (2022): International Journal of Global Operations Research (IJGOR), August, 2022
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v3i3.167

Abstract

In Indonesia, English is a compulsory subject for students. This course is an uninteresting subject and tends to be difficult for students to understand. Meanwhile, on the other hand, international issues are often discussed, namely English which is Students must know and be fluent in reading, writing and communication. The basic idea of research objectives, comparing the sorting process using two different algorithms, namely bubble sort and Merge Sort. The basic model of the research method Comparative Analysis of the Speed of the Shorting Method on Google Translate Indonesian-English Using Binary Search. Sorting, Sorted (ordered according to certain rules/rules), and the data is presented in sorted form, as said in dictionaries, and files in a directory. The algorithm used for sorting is bubble sort, which is an element comparison operation that is exchanged for other elements until the end of the data series is reached, until no more elements are swapped. Results for find out how well the performance speed of the bubble sort algorithm is in sorting data.
Analysis Of The Influence Of Delivery Service Quality On Customer Satisfaction JNE Trucking Sub Agent Klaten Ekowati, Maria Atik Sunarti; Rumekso, Ayub Widhi
International Journal of Global Operations Research Vol. 4 No. 2 (2023): International Journal of Global Operations Research (IJGOR), May 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i2.194

Abstract

The purpose of this study is to analyze the effect of the quality of freight forwarding services on customer satisfaction by using five variables, namely Tangible, Reliability, Responsiveness, Assurance, Empathy, and the variable customer satisfaction as a dependent variable. The population is all JNE customers, sampling on 30 respondents, using non-probability sampling technique and accidental sampling approach, anyone who is met can sample. The method used is descriptive statistics, multiple linear regression, validity and reliability test, T test, F test and the determinant coefficient (R2). The results of the analysis, research indicators are valid and reliable, does not happen heteroscedasticity seta normally distributed.
Utilization of Artificial Intelligence in Cyber Security System Prototype to Face Quantum Computing Ekowati, Maria Atik Sunarti; Nindyatama , Zefanya Permata
Journal of Scientific Insights Vol. 2 No. 2 (2025): April
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i2.338

Abstract

The advent of quantum computing poses significant threats to traditional cybersecurity systems, which rely on cryptographic algorithms vulnerable to quantum attacks. This research explores the utilization of artificial intelligence (AI) in designing a prototype cybersecurity system aimed at countering the emerging threats of quantum computing. The study integrates AI-based intrusion detection systems with quantum-resistant cryptographic techniques to enhance the security of digital systems against quantum-driven cyberattacks. A combination of machine learning algorithms, such as neural networks and decision trees, is employed to detect and mitigate potential cybersecurity breaches. Additionally, post-quantum cryptography (PQC) is incorporated to safeguard sensitive data against the capabilities of quantum computers. The results indicate that the proposed system outperforms conventional cybersecurity methods in detecting threats with greater speed and accuracy, while also providing robust protection against quantum-enabled attacks. Moreover, the integration of AI allows for adaptive and proactive defense mechanisms, improving the overall system resilience. The study concludes that combining AI with post-quantum cryptography offers a promising solution to secure digital infrastructures in the face of quantum computing advancements, marking a significant step toward future-proofing cybersecurity strategies.
Integration of artificial intelligence in cyber security systems to counter quantum computing threats Ekowati, Maria Atik Sunarti; Poernomo, Moyo Hady; Nindyatama, Zefanya Permata
Jurnal Mandiri IT Vol. 13 No. 4 (2025): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i4.388

Abstract

With the rapid advancement in quantum computing, threats to cybersecurity systems are increasingly complex, especially in terms of encryption and data protection. The integration of artificial intelligence (AI) into cybersecurity systems is essential to address these challenges. This study aims to examine the potential of AI in improving the detection and mitigation capabilities of threats arising from the quantum computing revolution. The urgency of this research is driven by the prediction that existing cryptographic algorithms will be easily cracked by quantum computers, raising the need for more adaptive and dynamic security systems. The method used in this study is a simulation approach using machine learning algorithms to model and identify cyber threat patterns specific to quantum computing. The results show that AI-based systems can detect attacks faster and with higher accuracy compared to conventional systems. The output of this research is the development of a security system prototype that combines artificial intelligence and post-quantum security technologies, which can be implemented in various cyber applications to ensure more effective data protection in the quantum computing era.
Pemanfaatan Media Pembelajaran untuk Meningkatkan Efektivitas Pembelajaran Visual pada Siswa SMP Kanisius Sumber Ekowati, Maria Atik Sunarti; Poernomo, Moyo Hadi; Silmano, Gabriel; Saputra, Unggul Widya
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 16, No 3 (2025): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v16i3.21000

Abstract

Penelitian ini bertujuan untuk memanfaatkan media pembelajaran dalam meningkatkan efektivitas pembelajaran visual pada siswa SMP Kanisius Sumber Muntilan. Pembelajaran visual merupakan salah satu strategi yang efektif dalam menyampaikan materi pelajaran, mengingat mayoritas siswa memiliki kecenderungan belajar melalui gambar, diagram, dan media visual lainnya. Penggunaan media pembelajaran yang tepat dapat membantu siswa memahami konsep-konsep abstrak dengan lebih mudah serta meningkatkan minat dan motivasi belajar mereka. Latar belakang dari penelitian ini adalah tantangan yang dihadapi oleh guru dalam mengoptimalkan pembelajaran di kelas, terutama dalam hal menyampaikan materi yang memerlukan pemahaman visual yang kuat. Dalam beberapa tahun terakhir, metode pembelajaran yang mengandalkan penggunaan media interaktif dan visual semakin populer karena dapat merangsang perhatian dan meningkatkan pemahaman siswa. Namun, masih banyak sekolah yang belum memanfaatkan teknologi secara maksimal dalam proses pembelajaran. Oleh karena itu, penting untuk mengeksplorasi penggunaan media pembelajaran dalam konteks ini guna meningkatkan hasil belajar siswa. Metode yang digunakan dalam penelitian ini adalah pengabdian kepada masyarakat yang melibatkan pelatihan bagi guru-guru SMP Kanisius Sumber Muntilan dalam pemanfaatan media pembelajaran berbasis visual. Pelatihan ini bertujuan untuk meningkatkan pemahaman dan keterampilan guru dalam menggunakan media seperti gambar, video, animasi, dan aplikasi pembelajaran digital yang dapat mendukung efektivitas pembelajaran visual di kelas. Selain itu, penelitian ini juga melibatkan siswa sebagai subjek untuk mengukur tingkat efektivitas pembelajaran yang diterima setelah diterapkannya media visual dalam proses pembelajaran. Hasil dari pelatihan ini menunjukkan bahwa mayoritas guru merasa lebih percaya diri dan terampil dalam menggunakan media visual dalam pembelajaran. Selain itu, siswa juga melaporkan peningkatan pemahaman terhadap materi pelajaran yang disampaikan menggunakan media pembelajaran visual. Dengan menggunakan media pembelajaran yang tepat, siswa dapat lebih mudah memahami konsep-konsep yang sulit dan merasa lebih terlibat dalam proses pembelajaran. Aktivitas belajar yang menyenangkan dan menarik juga berkontribusi pada peningkatan motivasi dan prestasi belajar mereka. Secara keseluruhan, penerapan media pembelajaran dalam konteks ini terbukti efektif dalam meningkatkan efektivitas pembelajaran visual pada siswa SMP Kanisius Sumber Muntilan. Dengan pemanfaatan teknologi yang optimal, baik guru maupun siswa dapat merasakan manfaat yang signifikan dalam proses pembelajaran. Diharapkan bahwa penelitian ini dapat menjadi model bagi sekolah-sekolah lain dalam meningkatkan kualitas pembelajaran melalui pemanfaatan media visual yang inovatif dan sesuai dengan perkembangan zaman.
Integration and contribution of artificial intelligence in writing scientific papers Ekowati, Maria Atik Sunarti; Dananti, Kristyana; Wening, Sri; Darsini, Darsini
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.315

Abstract

This research aims to explore the integration and contribution of artificial intelligence (AI) in the process of writing scientific papers, examining various AI applications, such as writing tools based on natural language processing (NLP), automatic assessment systems for writing quality, and reference management platforms automatic. With the rapid advancement of technology, AI has shown great potential in improving the efficiency and quality of academic writing. This study analyzes how AI can help in various stages of writing, from literature searches, structuring papers, to proofreading and improving writing style. The research also highlights key differences between traditional approaches to writing scientific papers and AI-powered approaches. Previously, scientific writing relied entirely on the individual writer's ability to conduct research, organize information, and write effectively. These conventional methods are often time consuming and prone to human error. In contrast, AI integration allows the automation of some time-consuming tasks, such as data processing and text editing, so that authors can focus on the creative and analytical aspects of their research. The results of this research show that the use of AI in scientific writing not only increases efficiency but can also improve the quality and accuracy of scientific papers. AI is able to provide relevant suggestions based on existing data, identify grammatical and writing errors, and assist in finding the right references. Thus, AI integration can become an invaluable tool for researchers and academics in producing high-quality scientific work.
Development of Warehouse Data Models to Support JNE Delivery Services Ekowati, Maria Atik Sunarti; Dananti, Kristyana
Proceeding International Conference on Mathematics and Learning Research 2021: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

In order to help improving the performance of JNE business communities in this globalization era, it is necessary to encourage them to compete with each other in acquiring technology to support all their work activities so that they can be carried out as effectively and efficiently as possible, due to the increasingly dominant role and technology. The data warehouse is one of the concepts oriented to the core components of a business, that is, data can be categorized as a strategic supporting aspect because through the formation of a data warehouse an output can be obtained in the form of a report that can be used as analysis material for the executive in the decision-making process. The objectives to be achieved in this research are to formulate a data warehouse model and application design in accordance with the results of the needs analysis, which can support JNE business actors as a delivery service, as a case study JNE Klaten is used as research object. The methodology used in this study uses analysis and design methods. The method of analysis is carried out by studying literature, conducting surveys and interviews, identifying information needed by executives in decision making, and defining data warehouse requirements which will be built based on Nine-Steps Methodology. The design method is carried out by designing a data warehouse application, as a display interface that contains supporting features from the user side. The results of the research are in the form of data warehouse models and applications that are built based on operational data, which are processed in various dimensions, so that they can form a report to meet the needs of the executive about information and using the data warehouse, the executive can analyze the reports generated from multiple viewpoints easily, and can also be used as a reporting tool.
Design Prototype of Simple Jarimatic Visualization Application Model, Attracting, Motivating Early Children to Learn and Grow Ekowati, Maria Atik Sunarti
International Journal of Ethno-Sciences and Education Research Vol. 2 No. 3 (2022): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v2i3.316

Abstract

The main purpose of this work is to develop a model or product design into a final product that can meet user demands. The methodology of this study is the product development by making designs, samples, or models with the aim of testing the concept or work process of the product. In the product development process, users can take part in the product development process by evaluating and providing feedback. Therefore, we create a prototype design for a simple, attractive, and attractive Jarimatika visualization application model that motivates early childhood to learn and grow, which results in a product development of the Jarimatika Visualization Software.
Co-Authors Dananti, Kristyanan Darsini . . Kristyana Dananti, Kristyana Moyo Hady Poernomo Nindyatama , Zefanya Permata Nindyatama, Zefanya Permata Poernomo, Moyo Hadi Rumekso , Ayub Widhi Rumekso, Ayub Widhi Saputra, Unggul Widya Silmano, Gabriel Sri Wening Wening , Sri Widianto Widianto