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All Journal Humanika : Kajian Ilmiah Mata Kuliah Umum LIBRARIA Masyarakat, Kebudayaan dan Politik Martabe : Jurnal Pengabdian Kepada Masyarakat Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JURNAL GOVERNANSI Building of Informatics, Technology and Science MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Journal of Soft Computing Exploration Bidik : Jurnal Pengabdian kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science Pustakaloka: Jurnal Kajian Informasi dan Perpustakaan Madania: Jurnal Kajian Keislaman
Margono, Hendro
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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The Urgency of Disability Services in the Library with Literature Review Rifa, Syafira Dila; Rosyani, Widha; Margono, Hendro
Pustakaloka Vol. 16 No. 1 (2024)
Publisher : IAIN Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/pustakaloka.v16i1.8524

Abstract

Penyandang disabilitas mengalami keterbatasan yang membuat akses ke berbagai layanan, termasuk di perpustakaan, menjadi sulit. Untuk itu, diperlukan layanan khusus di perpustakaan agar mereka dapat mengakses informasi dengan lebih mudah. Peraturan Pemerintah Nomor 23 Tahun 2014 mengatur pelaksanaan Undang-Undang Nomor 43 Tahun 2007 tentang perpustakaan, yang menekankan pentingnya layanan non-diskriminatif bagi penyandang disabilitas. Penelitian ini bertujuan mengatasi kurangnya artikel jurnal mengenai layanan disabilitas di perpustakaan dengan menggunakan metode literature review, yang melibatkan pencarian jurnal terkait di Google Scholar. Data dari jurnal-jurnal tersebut menunjukkan bahwa beberapa perpustakaan masih memiliki layanan disabilitas yang kurang memadai, sementara yang lain sudah mulai memperhatikan pentingnya keamanan dan kenyamanan bagi penyandang disabilitas. Artikel ini membahas pengenalan kebutuhan pengguna disabilitas, pelatihan petugas perpustakaan, aksesibilitas fasilitas, dan inovasi digital untuk aksesibilitas universal di era digital bagi penyandang disabilitas.
Kebutuhan transformasi bank digital Indonesia di era revolusi industri 4.0 Suharbi, Muhammad Akbar; Margono, Hendro
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 4 No. 10 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.756 KB) | DOI: 10.32670/fairvalue.v4i10.1758

Abstract

The occurrence of the Covid-19 pandemic forced humans to adapt to technology, not least in terms of finance, namely transactions in banking. This study aims to analyze the transformation of the banking industry into a digital bank in providing services to customers. This research is a type of qualitative research using secondary data from reliable literacy. The results of this study indicate that the transformation into a digital bank provides many advantages for banks to be able to continue to survive in running their business. Where digital banks are the choice of customers in transacting in the financial sector because it is easy, fast, and efficient. Transforming into a digital bank can also increase more customers and fee base income for banks because they can collaborate with fintech and e-commerce and can be efficient in managing bank assets which in turn can increase bank profits exponentially. However, in transforming into a digital bank, banks must have a strong foundation, especially in terms of infrastructure and security of customer data that is vulnerable to hacking attacks (cyber crime). So that in the Industrial Revolution 4.0 era technology is the main key in winning the competition and remaining sustainable in running a business, for that the banking sector in Indonesia is required to continue to innovate in providing the best service to its customers.
Implementation of Web-Based School Library Information System Design with RAD Method Approach Anastasya, Diva Berta; Fauziah, Salsa; Margono, Hendro
LIBRARIA Vol 12, No 1 (2024): LIBRARIA
Publisher : UPT. Perpustakaan Institut Agama Islam Negeri (IAIN) Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/libraria.v12i1.25159

Abstract

In the current era, several school libraries have implemented the design of web-based school library information systems using the Rapid Application Development (RAD) approach. The primary objective of this method is to enhance efficiency and accessibility in managing an organization/institution. This research aims to ascertain the advantages of the RAD method in the development of school library information systems. The research methodology employs a literature review by gathering relevant literature materials about the topic. The RAD method was chosen because it allows for rapid and iterative development, aligning with the dynamics of changing user needs and technology. The system is designed to support collection management, borrowing, and book searching effectively. The analysis results indicate that the implementation of the RAD Method in designing library information systems yields several positive impacts on the development of school library websites, namely, firstly, providing quick responses to user needs; secondly, improving previous systems; and finally, achieving relatively faster development compared to traditional software development methods.
Technology innovation in library: a bibliometric review Margono, Hendro; Rasyid, Rizka Adristi; Setiyarini, Melina Dewi
Humanika: Kajian Ilmiah Mata Kuliah Umum Vol. 24 No. 2 (2024): Humanika: Kajian Ilmiah Mata Kuliah Umum
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/hum.v24i2.70660

Abstract

Technological innovation is changing libraries and how libraries operate. This study presents a bibliometric analysis to identify key patterns and trends in research on technological innovation in libraries, based on the publication of papers indexed in Web of Science from 2019 to 2023. A total of 433 documents from 342 sources were analyzed using Biblioshiny and VOSViewer software. The results show an increasing interest in this research domain, despite a negative annual publication growth rate of -32.33% in recent years. The IEEE Winter Conference on Computer Vision Applications and the IEEE Symposium on Security and Privacy were the most productive sources. "Library" was the most frequent keyword found in 6% of documents, along with terms such as "model", "performance", and "system", highlighting the focus on developing and evaluating technological systems for libraries.  The findings summarize the key topics, trends, and leading countries driving technology innovation research for libraries over the past five years. This bibliometric review provides insights to guide future research efforts in this area.
Application of Machine Learning for Dementia Classification through MRI Images using Vertex AI on Google Cloud Services Rinanda, Tiara Disti; Arief Suyoso, Aldo Lovely; Margono, Hendro
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6040

Abstract

Alzheimer's dementia remains a serious global health challenge, particularly in resource-limited countries where early and accurate diagnosis is crucial to reducing morbidity and mortality rates. Despite advances in medical imaging and diagnostic tools, early detection of Alzheimer’s remains a complex and resource-intensive task for healthcare systems worldwide. This study leverages the power of machine learning, specifically Convolutional Neural Networks (CNN), to develop a reliable model for detecting the severity of dementia using brain MRI images. The dataset used consists of four main categories: Non-Demented, Very Mild Demented, Mild Demented, and Moderate Demented, with a total of 1,561 images obtained from Kaggle. The model was trained using Vertex AI on Google Cloud, which automatically optimized model parameters through AutoML and Hyperparameter Tuning. Techniques such as image segmentation and feature extraction were applied to enhance model accuracy. The results show that this CNN model achieved a precision rate of 93.5% for the Non-Demented category, with classification accuracy consistently between 92% and 93% for various other levels of dementia severity. These findings underscore the potential of machine learning, particularly CNN, in significantly improving dementia detection accuracy even in resource-constrained settings. By utilizing advanced techniques such as image segmentation, feature extraction, and CNN-based automated classification, this model offers a promising solution for real-time dementia diagnosis. The scalability and adaptability of the model built using Vertex AI allow for broader applications in global clinical scenarios, supporting public health efforts to reduce the burden of Alzheimer's disease. While challenges regarding data sensitivity and computational resources are acknowledged, the model’s potential to improve early diagnosis and patient outcomes is highly significant.
Narrative literature review: Efficiency enhancement - user trust in chatbots as a tool for improving service quality by humans Margono, Hendro; Bastian, Devi; Faiza, Nova Auliatul
Journal of Soft Computing Exploration Vol. 5 No. 2 (2024): June 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i2.286

Abstract

Chatbots have become efficient and reliable tools for instant and real-time information dissemination. Despite their effectiveness, user trust in chatbot systems remains relatively low. A holistic approach is necessary, integrating user emotional experiences, trust-building strategies, and continuous technological refinement to maximize chatbot benefits across various sectors. This research explores the potential for selective information dissemination based on user preferences using chatbots combined with artificial intelligence. Through a narrative approach, the study reviews literature and analyzes eight articles related to chatbots' application in information dissemination. The results indicate that chatbots are efficient in providing information and can be customized for various needs, such as population services, reminder notifications, and book processing. Chatbots have the potential to enhance services and can be integrated into information systems to improve service quality. However, challenges such as reliance on high-quality data and machine learning, difficulties in understanding non-formal language or slang, and limitations in handling complex questions need to be addressed for chatbots to reach their full potential.
Strategi Peningkatan Literasi Masyarakat Melalui Program Taman Bacaan Masyarakat (TBM) 4.0 Yuwinanto, Helmy Prasetyo; Soesantari, Tri; Atmi, Ragil Tri; Sugihartati, Rahma; Srimulyo, Koko; Gunarti, Endang; Yuadi, Imam; Mutia, Fitri; Margono, Hendro; Prasyesti Kurniasari, Meinia; Abdul Halim, Yunus
BIDIK: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2024): BIDIK: Jurnal Pengabdian kepada Masyarakat
Publisher : Fakultas Ilmu Budaya Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/bidik.v5i1.25251

Abstract

Dalam rangka mengarahkan agar masyarakat senantiasa memanfaatkan Taman Bacaan Masyarakat (TBM) untuk kegiatan yang produktif dan sekaligus mendukung peningkatan kemampuan literasi mereka. Tujuan dilakukan pendirian taman bacaan untuk memberikan bekal pengetahuan kepada pengelola TBM dan masyarakat tentang pemanfaatan yang positif dan produktif dari perkembangan TBM. Dengan cara memberikan pelatihan dengan peningkatan kemampuan pengelola yang baik dan professional maka akan diharapkan mampu memberikan hasil yang bermanfaat pada peningkatan pengetahuan pengelola dalam mengembangkan yang lebih baik dari sebelumnya. Untuk selanjutnya, dalam memberikan informasi mengenai program literasi dan mengadakan program-program tersebut disarankan TBM tersebut memiliki kegiatan yang terprogram dengan baik untuk penggunanya.
Research trends in gambling tax dynamics: A bibliometric analysis Khithobi, Arya Teges; Margono, Hendro; Hariani, Nurul Jamila; Soegiono, Agie Nugroho
Masyarakat, Kebudayaan dan Politik Vol. 37 No. 3 (2024): Masyarakat, Kebudayaan dan Politik
Publisher : Faculty of Social and Political Science, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mkp.V37I32024.270-287

Abstract

Gambling has been around for a long time and continues to evolve as it becomes integrated with video games. In its development, gambling continues to have negative impacts both economically and socially, such as unemployment, tax losses, divorce, and suicide. However, gambling can also have a positive impact, such as an increase in government revenue if taxed appropriately. This study aims to offer a thorough analysis of many publications from the last decade and monitor the progress of scientific research on gambling taxes as found in the Scopus database, utilizing VOSviewer and WordStat. In this study, the method used was bibliometric analysis. Between 2014 and 2023, a total of 132 scientific articles were dedicated to studying gambling taxes. There are a total of seven groups consisting of 111 keywords that are directly connected to gambling taxes. There are three groups of eight authors who are collaborating on a research project about gambling taxes. The study found that the University of Macau has affiliations with the majority of publications that impose gambling taxes. The United States has the biggest number of publications on the topic of gambling taxes. Studies on gambling taxes frequently confront issues of tax evasion and focus on a significant topic, namely the impact on public health and individuals. The study concluded that publications related to gambling taxes are dominated by articles from various multidisciplinary fields. This study recommends a wider range of publications and research from a more varied range of time and sources.
Membangun kepercayaan publik: visualisasi data interaktif capaian kinerja Kantor Regional IX BKN Jayapura Setiadi, Yusuf; Margono, Hendro; Yuadi, Imam
Jurnal Governansi Vol 11 No 1 (2025): Jurnal Governansi Volume 11 Nomor 1, April 2025
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jgs.v11i1.15091

Abstract

This research aims to build public trust in the performance of XYZ Regional Office through interactive data visualization using Power BI. Public trust in government agencies is often influenced by transparency and openness in delivering performance information. In this context, interactive and easy-to-understand data visualization is important to improve public understanding of agency performance achievements. The urgency of this research lies in the need for transparency and public accountability, which can encourage active public participation in monitoring and supporting government performance. This research uses a descriptive method with a quantitative approach. The data used is the performance data of XYZ Regional Office, which is then processed and visualized using Power BI. Interactive data visualization is designed to facilitate users in exploring relevant performance information, with a focus on key indicators of agency achievement. By interpreting data findings, this research identifies factors that influence staffing dynamics, such as the total number of civil servants, retirement proposals, and promotion proposals. The implications of the findings are also discussed to provide relevant recommendations for stakeholders related to strategic staffing decision-making. The results showed that the interactive data visualization created was able to increase public understanding and positive perception of the performance of XYZ Regional Office. The novelty of this research lies in the use of Power BI as an interactive visualization tool in the context of government agencies, which has not been widely applied. This research is expected to be a reference for other government agencies to increase public trust through a data-driven approach and performance transparency.
Strategies for Enhancing Graduate Employability in Islamic and State Universities: A Comparative Study in Indonesia Adriansyah, Muhammad Ali; Handoyo, Seger; Margono, Hendro; Tondang, Edoardo; Julian, Antoni
Madania: Jurnal Kajian Keislaman Vol 29, No 1 (2025): JUNE
Publisher : Universitas Islam Negeri (UIN) Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/madania.v29i1.7818

Abstract

This study explores strategies to enhance graduate employability in Indonesia’s Islamic-based universities and state universities. Employing a descriptive qualitative approach, data were collected through in-depth interviews with university managers, lecturers, students, and alumni, supported by documentation studies and participatory observations. Thematic coding and data triangulation were used to analyze the data, ensuring the depth and validity of findings. The results reveal distinct institutional approaches: Islamic universities emphasize character development and work ethics rooted in spiritual values through programs like tahfiz-based leadership training and religious mentoring, while state universities focus on strengthening technical competencies and industry networks through structured internships and career development centers. Despite these differences, both institutions actively align higher education with labor market needs. This research contributes to the theoretical discourse on employability by introducing a new conceptual framework that integrates spiritual values with professional skills. The framework includes three core components: values-based curriculum integration, collaborative industry engagement, and holistic graduate profiling. These findings offer insights for policymakers and educators in developing inclusive and contextually relevant higher education models in pluralistic societies. Penelitian ini mengkaji strategi peningkatan daya saing lulusan di perguruan tinggi berbasis Islam dan perguruan tinggi negeri di Indonesia. Dengan menggunakan pendekatan kualitatif deskriptif, data dikumpulkan melalui wawancara mendalam dengan pimpinan universitas, dosen, mahasiswa, dan alumni, serta didukung oleh studi dokumentasi dan observasi partisipatif. Analisis data dilakukan melalui teknik pengkodean tematik dan triangulasi untuk menjamin kedalaman dan validitas temuan. Hasil penelitian menunjukkan adanya pendekatan kelembagaan yang berbeda: perguruan tinggi Islam menekankan pada pembentukan karakter dan etos kerja yang berlandaskan nilai-nilai spiritual melalui program seperti pelatihan kepemimpinan berbasis tahfiz dan pembinaan keagamaan, sedangkan perguruan tinggi negeri lebih menitikberatkan pada penguatan kompetensi teknis dan jaringan profesional melalui program magang terstruktur dan pusat pengembangan karier. Meskipun memiliki perbedaan karakteristik, kedua jenis institusi sama-sama menunjukkan upaya aktif dalam menghubungkan pendidikan tinggi dengan kebutuhan dunia kerja. Secara akademik, penelitian ini berkontribusi dalam pengembangan diskursus teoretis mengenai employability dengan menawarkan kerangka konseptual baru yang mengintegrasikan nilai-nilai spiritual dengan keterampilan profesional. Kerangka ini mencakup tiga komponen utama: integrasi kurikulum berbasis nilai, kolaborasi strategis dengan dunia industri, dan profil lulusan yang holistik. Temuan ini memberikan wawasan bagi para pengambil kebijakan dan pendidik dalam merancang model pendidikan tinggi yang inklusif dan kontekstual di masyarakat yang pluralistik.
Co-Authors Adriansyah, Muhammad Ali Anastasya, Diva Berta Arief Suyoso, Aldo Lovely Bastian, Devi Cahyani, Retno Tri Dama Putri, Kania Faiza, Nova Auliatul Fauziah, Salsa Fitri Mutia, Fitri Gunarti, Endang Halim, Yunus Abdul Hariani, Nurul Jamila Hary Supriyatno Imam Yuadi Inriani, Sefania Wenny Eka Julian, Antoni Khithobi, Arya Teges Koko Srimulyo Lestari, Santi Dwi Desy Maulidah, Nofiyah Niken Ayu Pratiwi, Bertha Prasetyo Yuwinanto, Helmy Prasyesti Kurniasari, Meinia Putra, Yudistira Ardi Nugraha Setyawan Ragil Tri Atmi, Ragil Tri Rahma, Nadhifia Shabrina Nur Rasyid, Rizka Adristi Rifa, Syafira Dila Rinanda, Tiara Disti Rosyani, Widha Seger Handoyo Setiadi, Yusuf Setiyarini, Melina Dewi Soegiono, Agie Nugroho Soesantari, Tri Sugihartati, Rahma Suharbi, Muhammad Akbar Tondang, Edoardo Tri Atmi, Ragil Vivia Adriyanti, Elvetta Windrasari, Shella Norma Yuwinanto, Helmy Prasetyo