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All Journal Economics and Digital Business Review Abdi Teknoyasa SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Artificial Intelligence Systems and Its Applications (AISA) Jurnal Pengabdian Digital dan Rekayasa Informatika (JARDIRA) Global Journal of Law, AI & Ethics (GJLAE)
Hariyadi Fajar Nugroho
Universitas Muhammadiyah Surakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Other

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SISTEM INFORMASI KEPEGAWAIAN DAN KEUANGAN KELOMPOK BERMAIN DAN TAMAN KANAK-KANAN ISLAM PERMATA HATI YAYASAN BAKTI MUSLIMAH Giwangkoro, Gery Gebyar; Nugroho, Hariyadi Fajar; Mubarak, Hari; Thamrin, Husni
Abdi Teknoyasa Volume 4, No. 2, Desember 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/abditeknoyasa.v4i2.2225

Abstract

Kelompok Bermain dan Taman Kanak-Kanak Islam Permata Hati (KB-TKA) adalah salah satu lembaga pendidikan anak usia dini yang dikelola oleh Yayasan Bakti Muslimah. Sumber daya manusia dan manajemen keuangan yang efektif dan berfungsi saat ini sangat penting untuk mendukung kelancaran fungsi lembaga pendidikan tersebut. Sistem Manajemen sumber daya manusia dan manajemen keuangan yang terdapat di Kelompok Bermain dan Taman Kanak-Kanak Islam Permata Hati (KB-TKA) dapat dikatan masih manual, hal tersebut terjadi karena pencatatan, manajemen sumber daya manusia dan manajemen keuangan masih menggunakan Microsoft Excel dan tulisan yang menyebabkan pendataan data memekan waktu yang lama dan membuat pekerjaan kurang maksimal. Oleh Sebab itu tujuan dilakukkanya penelitian ini adalah pembuatan sebuah system informasi berbabsis web yang dapat membantu dalam kegiatan manajemen Sumber daya manusia dan manajemen Keuangan. Perancangan proses system menggunakan metode waterfall. Metode ini mencakup required analysis, system and software design, implementation and unit testing, integration and system testing, and operation and maintenance. Sistem dibuat dengan menggunakan aplikasi Code Editor, web browser, web server. Sistem informasi ini diuji menggunakan metode Black Box Testing. Sistem ini memungkinkan manajer fasilitas untuk lebih efektif mengelola informasi staf seperti informasi pribadi, kehadiran, dan riwayat kerja. Selain itu, sistem ini juga memudahkan pengelolaan keuangan, termasuk gaji, pengeluaran, dan pembelian barang. Oleh karena itu, disarankan agar lembaga pendidikan lain juga mempertimbangkan untuk menggunakan sistem informasi serupa untuk meningkatkan kualitas manajemen.
Pemanfaatan Kecerdasan Buatan untuk Optimalisasi Strategi Digital Marketing pada Bisnis Rintisan (Startup) di Indonesia Nugroho, Hariyadi Fajar
SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Vol 7 (2025)
Publisher : SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan)

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Abstract

Penelitian ini bertujuan untuk menganalisis pemanfaatan kecerdasan buatan (AI) dalam optimalisasi strategi digital marketing pada startup Dirfaweb.com yang bergerak di bidang jasa pembuatan website. Metode penelitian yang digunakan adalah pendekatan deskriptif kualitatif dengan simulasi penerapan AI pada aktivitas pemasaran digital seperti analisis perilaku pelanggan, personalisasi konten, dan otomasi kampanye iklan. Hasil penelitian menunjukkan bahwa integrasi AI mampu meningkatkan efektivitas kampanye digital marketing melalui peningkatan engagement rate, akurasi targeting iklan, serta efisiensi biaya promosi. Penelitian ini memberikan kontribusi praktis dalam pengembangan strategi digital marketing berbasis AI bagi startup digital di Indonesia.
Analysis of AI Algorithm Development: From Machine Learning to Deep Learning Jompon Pitaksantayothin; Hariyadi Fajar Nugroho
Artificial Intelligence Systems and Its Applications Vol. 1 No. 1 (2025): Vol. 1, No. 1, June 2025
Publisher : CV Cognispectra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65917/aisa.v1i1.18

Abstract

The development of Artificial Intelligence (AI) is currently very rapid, but there is still much confusion regarding the differences and evolution of the main algorithms, namely machine learning (ML) and deep learning (DL). This study aims to analyze the development of AI algorithms conceptually and technically from conventional ML to DL, and to provide a structured understanding of the paradigm shift in AI development. The method used is a systematic literature study of 10 recent scientific articles discussing aspects of ML and DL algorithms. The results of the analysis show that ML relies on manual feature extraction with the advantages of computational efficiency and interpretability, while DL is able to process large and complex data automatically with better performance, although it requires high computing resources and faces interpretability challenges. The discussion also identifies the main challenges that AI still faces as well as innovation opportunities to overcome these limitations. In conclusion, a deep understanding of the evolution of AI algorithms is essential as a foundation for the development of more adaptive, effective, and transparent AI technology in the future.
Community Empowerment Multiculturalism Through the Digitalization of Village Websites as a Medium For Religious Moderation and MSMEs Promotion Dewi Iriani; Hariyadi Fajar Nugroho; Ahmad Muhammad; Elyza Devi Pramest; Salsa Alvalinnas Alitsa Minha; Shelly Choirunisa; Syafira Khoirunnisa
JARDIRA – Jurnal Pengabdian Digital dan Rekayasa Informatika Vol. 2, No. 1, January 2026
Publisher : CogniSpectra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65917/jardira.v2i1.49

Abstract

ABSTRACT Background: Digital-based community service is a strategic approach to addressing the social and economic challenges facing villages in the era of digital transformation. This program aims to empower the multicultural community of Gedongrejo Village by utilizing the village website as a public information medium, strengthening religious moderation, and promoting information technology-based MSMEs. Contribution: This community service activity contributes to improving digital literacy among village officials and the community, strengthening social cohesion through religious moderation content in digital spaces, and opening up access to digital promotion for local MSMEs. Method: The community service method is carried out in a participatory manner with stages of needs analysis, design and development of village websites based on informatics engineering, training in system management and digital literacy, assistance in content production, and monitoring and evaluation of website utilization. Results: The community service results indicate that the village website was successfully implemented as a public information system and community empowerment tool. The website was used to disseminate village information, publish content on religious moderation, and serve as a digital showcase for MSMEs, resulting in increased access to information and community utilization of digital technology. Conclusion: This community service program proves that digitalization of village websites based on information technology engineering can be an effective instrument in empowering multicultural communities, strengthening religious moderation, and providing initial support for the sustainable development of local MSMEs.
Personal Data Protection in the Era of Artificial Intelligence: A Critical Review of Indonesia's Regulatory Readiness Based on OECD Principles Nendy Akbar Rozaq Rois; Hariyadi Fajar Nugroho
Global Journal of Law, AI & Ethics Vol. 1, No. 1, August 2025
Publisher : CV. Cognispectra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65917/gjlae.v1.i1.15

Abstract

Purpose of the Study: This study aims to evaluate the readiness of Indonesian law in regulating personal data protection in the era of artificial intelligence (AI), by highlighting the conformity of national regulations to international standards, especially the OECD Principles and regulations of developed countries such as the European Union. Methodology: A normative-juridical approach with a qualitative comparative method was used, analyzing Law No. 27 of 2022 (PDP Law) and related instruments. The OECD Principles on AI served as an evaluative framework. The analysis was structured in four stages: (1) identifying OECD principles; (2) mapping provisions in Indonesian law; (3) analyzing regulatory gaps; and (4) comparing with selected jurisdictions (EU, Japan, Singapore, Brazil, India). Case studies were used to illustrate practical implications. Results: The results of the study show that although several aspects such as the principle of consent and data security have been accommodated in the PDP Law, there is still a legal gap in terms of liability for AI violations, algorithm audits, and transparency of automated decisions. Comparison with regulations of developed countries highlights substantial gaps in the protection of data subject rights. Applications of This Study: This study can be used as a normative and practical reference for policy makers in designing a legal framework that is adaptive to the development of AI technology, while increasing legal awareness among technology developers and other stakeholders. Novelty/Originality of This Study: This study offers a critical approach to AI regulation in Indonesia using the OECD Principles as an evaluative parameter, and identifies aspects of the law that have not been widely studied, such as the mechanism for objecting to automated decisions and the right to be forgotten in the context of artificial intelligence
Business Ethics Challenges in Digital Disruption Era: A Case Study of Local Startups Nugroho, Hariyadi Fajar
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3679

Abstract

Empirical evidence on how early-stage startups in emerging markets operationalize business ethics amid rapid digital disruption remains limited. Addressing this gap, this study examines ethical challenges faced by Indonesian digital startups and how they manage them while pursuing growth. Using a qualitative multiple-case design, we studied five startups across fintech, edtech, healthtech, e-commerce, and digital marketing through in-depth interviews, document analysis, and non-participant observation. Within-case narratives and cross-case pattern matching reveal four recurrent issues: (1) managing data privacy and informed consent under evolving regulation, (2) ensuring transparency and accountability in AI-assisted decisions, (3) protecting intellectual property in fast-iterating partnerships, and (4) translating founders’ moral identity into day-to-day governance routines. Startups that embed simple but disciplined practices—data minimization, role-based access controls, audit logs, explainability measures, and clear retention policies—report stronger customer trust, fewer compliance frictions, and more resilient growth. The study contributes a context-specific framework of ethical leadership and governance for digital startups in emerging markets, clarifying practical checkpoints from inception to scaling and articulating trade-offs between speed and stewardship. These insights inform founders and policy makers seeking to sustain innovation without compromising ethical standards.
Co-Authors Ahmad Muhammad Dewi Iriani Elyza Devi Pramest Giwangkoro, Gery Gebyar Husni Thamrin Jompon Pitaksantayothin Mubarak, Hari Nendy Akbar Rozaq Rois Salsa Alvalinnas Alitsa Minha Shelly Choirunisa Syafira Khoirunnisa