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All Journal Jurnal Ekonomi Syariah Teori dan Terapan Riau Journal of Computer Science Script Journal: Journal of Linguistic and English Teaching MAJALAH ILMIAH GLOBE Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Inotera El-Barka: Journal of Islamic Economics and Business Jurnal Hutan Tropika Balanca : Jurnal Ekonomi dan Bisnis Islam Journal of Law, Poliitic and Humanities Revenue : Jurnal Ekonomi Pembangunan dan Ekonomi Islam Seminar Nasional Insinyur Profesional (SNIP) SATIN - Sains dan Teknologi Informasi Applied Science and Technology Research Journal RJOCS (Riau Journal of Computer Science) LOGIC : Jurnal Ilmu Komputer dan Pendidikan Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Magister Ekonomi Syariah The Indonesian Journal of Computer Science Jeptira TIFDA : Journal Technology Information and Data Analytic MADINA : Journal of Islamic Studies Vocational: Journal of Educational Technology Papsel Economic Journal
Herianto
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Journal : Applied Science and Technology Research Journal

 1 
Comparison of 3D Printing Technologies for Polymer-HA Bone Scaffolds: A Systematic Review Toward Hybrid Fabrication Strategies Kumarajati, Dhananjaya Yama Hudha; Herianto; Herliansyah, Muhammad Kusumawan; Kusmono; Tontowi, Alva Edy
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): INPRESS
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8230

Abstract

Bone scaffold fabrication using 3D printing faces a fundamental dilemma: the trade-off between mechanical strength and biological functionality. To address this challenge, a systematic literature review (SLR) of 28 primary research articles was conducted to compare various hydroxyapatite-based scaffold fabrication technologies. The analysis confirms a clear trade-off: Fused Filament Fabrication (FFF) excels in mechanical strength, Digital Light Processing (DLP) in architectural precision (<100 µm), and Direct Ink Writing (DIW) in flexibility for bio-functionality, proving no single method is ideal. The main conclusion is that hybrid fabrication strategies—intelligently integrating the strengths of multiple technologies—offer the most promising approach to creating functional scaffolds with an optimal balance of strength and bioactivity for future clinical applications.
Technology Trends, Innovations, and Future Research Directions in 3D Printing (Additive Manufacturing): A Systematic Literature Review Santoso, Banu; Dhananjaya Yama Hudha Kumarajati; Herianto; Alva Edy Tontowi; Muhammad Kusumawan Herliansyah
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): INPRESS
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8232

Abstract

3D printing or Additive Manufacturing (AM) technology has experienced rapid growth in the past five years, driven by the integration of new technologies such as artificial intelligence (AI), bio- and nano-composite materials, and blockchain-based security systems. This study aims to analyze technology trends, key innovations, and predict future research directions in AM using a Systematic Literature Review (SLR) approach to 80 Scopus/WoS indexed articles. The results show that AI plays a central role in improving production efficiency and accuracy, while material innovations expand AM applications to the medical and aerospace sectors. In addition, the application of 4D printing and blockchain is beginning to form a new paradigm in intelligent and decentralized manufacturing. The 2025–2030 research roadmap compiled from these findings shows a strategic focus on adaptive AI, multifunctional bioinks, modular manufacturing systems, and full integration between AM, blockchain, and smart materials. This study not only identifies research trends and gaps but also offers strategic contributions to the development of future AM technologies in a more adaptive, sustainable, and secure manner.
A Comprehensive Review of AI, Machine Learning, Deep Learning, and GANs Integration in Additive Manufacturing: Trends, Applications, and Challenges Santoso, Banu; Herianto; Wangi Pandan Sari; Alva Edy Tontowi
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): INPRESS
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8233

Abstract

The integration of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Generative Adversarial Networks (GANs) into Additive Manufacturing (AM) has opened new horizons for intelligent, efficient, and adaptive production processes. This paper provides a comprehensive review of current trends, diverse applications, and emerging challenges in the convergence of these technologies within AM systems. We explore how AI-driven techniques contribute to real-time monitoring, defect detection, process optimization, and design generation, enhancing the overall quality, precision, and scalability of 3D printing. ML and DL approaches enable predictive modeling and adaptive control, while GANs offer promising capabilities in generative design and synthetic data augmentation. The review highlights key research contributions, technological advancements, and industrial implementations, mapping the landscape of intelligent AM. Moreover, it discusses the limitations of data availability, model interpretability, computational requirements, and integration complexities. Finally, the study identifies future directions for research, including hybrid AI models, physics-informed learning, and sustainable AM development. By synthesizing multidisciplinary insights, this paper aims to guide researchers and practitioners toward more intelligent, automated, and sustainable additive manufacturing frameworks through the strategic adoption of AI and its subfields. Keywords: Additive Manufacturing, Machine Learning, Artificial Intelligence, 3D Printing, Deep Learning
Co-Authors Adam Arif Budiman, Adam Arif Adrian Axel Yohannes Ahmad Makbul Ahmad Mujaffar Ahmad Syawaluddin Aji Setiawan Alva Edy Tontowi Alva Edy Tontowi Amar Ahmad Andi Ajeng Tenri Lala Andi Susilo Astuti, Eka Yuni Ayu Susilawati, Endang Baba Barus Banu Santoso Dhananjaya Yama Hudha Kumarajati Dikpride Despa Elysia, Shafa Febriana Sesunan, Mira Gusnawati, Rina Hasbi Haslindah Irnandas, Muh Jaman, Najma Jusmiana, Andi Kurnianto, Atik Kusmono M. Ali Latif Amri Mabanja, Ashiraf MARDIANA Mira Harimurti Mohammad Ardyansah Muhammad Kusumawan Herliansyah MUHAMMAD YUSUF Nababan, Mangatur Rudolf Nadia Shalehah Nasution, Saddam Husein Nasyiya Nirwan Nur Hasanah Nur Syamsiyah Nurhidaya Nurpasila Nuwa Pramesti, Gita Prasetyo, Arya Adhari Purnamasari, Dian Septi Raden Rosnawati Raditya Fadhil Arva Ratna Widyawati Refni Wahyuni Renhart Jemi Rian Ordila Ritonga, Syahirul Alim Riyadi Santosa Romatua, Pittor Rustanto Sahmiar Pulungan Sarah Iftin Atsani Sari , Andira Sarlin Siti Aisyah Sugianto, Didik Suryani, Okta Susanto, Herry  Suzuki Syofian Syahirul Alim Ritonga Tenri Lala, Andi Ajeng Tenri Lala Timor Setiyaningsih, Timor Tri Mahardika, Bagus Vincentius P Siregar Wangi Pandan Sari Wardani, Tri Ulfa Yahya Yuda Irawan Yudha, Afri YULISMAN