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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan International Journal of Advances in Intelligent Informatics jurnal Teknologi Informasi Magister International Journal of Artificial Intelligence Research KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian Dharma Wacana International Journal of Advanced Science and Computer Applications Jurnal Masyarakat Madani Indonesia Jurnal Alih Teknologi Sistem Informasi (JATSI)

Nurdiyanto, Heri

Pendidikan Teknologi Dan Kejuruan Universitas Negeri Yogyakarta

Author-ID : 545024

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Meningkatkan Kemampuan Microsoft Excel Siswa SMKN 1 Sekampung Dengan Workshop Tri Aristi Saputri; Usep Saprudin; Budi Sutomo; Febri Sugandi; Untoro Apsiswanto; Muhammad Adie Syaputra; Sulistiyanto Sulistiyanto; Heri Nurdiyanto
Jurnal Pengabdian Dharma Wacana Vol 4, No 1 (2023): Jurnal Pengabdian Dharma Wacana
Publisher : Yayasan Pendidikan dan Kebudayaan Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37295/jpdw.v4i1.407

Keterampilan penggunaan aplikasi microsoft excel menjadi kemampuan yang diperlukan karena aplikasi tersebut menjadi alat bantu utama dan penting dalam setiap pekerjaan. Proses kegiatan pembelajaran di SMAN 2 Sekampung Lampung Timur yang melalui daring, imbas dari pandemi, mengakibatkan pengetahuan dan keterampilan siswa khususnya penggunaan microsoft excel menjadi kurang. Untuk mengejar kekurangan pengetahuan dan keterampilan tersebut, pihak sekolah memberikan pelatihan kepada siswa. Metode yang digunakan dalam pelatihan tersebut dengan Participatory Learning and Action (PLA). Materi yang diberikan diantaranya penggunaan rumus, fungsi, operasi matematika dan lain sebagainya. Kegiatan pelatihan yang dilakukan oleh tim pengabdian menunjukkan hasil yang positif, terlihat dari kenaikan nilai rereta test yang dilakukan, dari 45.05 menjadi 62.48 poin. Harapanya dari pelatihan ini, pengetahuan dan keterampilan siswa bertambah dan dapat menjadi modal mereka ketika akan melanjutkan pendidikan atau bekerja

DATA MINING CLUSTERING DALAM PENGELOMPOKAN BUKU PERPUSTAKAAN MENGUNAKAN ALGORITMA K-MEANS Inas Ajeng Nur Afifah; Heri Nurdiyanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 3 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i3.3891

Sistem Informasi Pengolahan Data Siswa Berbasis Web Pada Sma Negeri 1 Kotabumi yusuf, ridwan; Nurdiyanto, Heri
Jurnal Alih Teknologi Sistem Informasi (JATSI) Vol 2, No 2 (2022)
Publisher : Universitas Mitra Indonesia

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

AbstrakSMA Negeri 1 Kotabumi merupakan sekolah menengah atas dengan standar nasional dan memiliki ratusan siswa didalamnya. Pengolahan data siswa dengan jumlah siswa sebanyak itu dan keinginan orang tua siswa untuk memantau akademik putra-putrinya memungkinkan pihak sekolah merasa kesulitan untuk menjalankan tugas-tugasnya. Sistem Informasi Pengolahan Data Siswa Berbasis WEB pada SMA Negeri 1 Kotabumi merupakan sistem informasi yang menyediakan pengolahan data akademik siswa SMA Negeri 1 Kotabumi. Pembuatan sistem ini dilakukan dengan cara pengumpulan data, analisis, perancangan, implementasi hingga pada uji coba sistem informasi, obyek penelitian dalam hal ini SMA N 1 Kotabumi. Sistem informasi ini dibuat menggunakan bahasa pemograman PHP dan MySQL. Hasil akhir dari skripsi ini adalah Sistem Informasi Pengolahan Data Siswa Berbasis Web pada SMA N 1 Kotabumi yang dapat digunakan untuk mempermudah karyawan sekolah dalam pengolahan data siswa dan sebagai media informasi untuk orang tua siswa mengenai akademik putra – putrinya.Kata Kunci : Sistem Informasi, PHP, website, SMA Negeri 1 Kotabumi.

Improving Student Competence through Informatics-Based Vocational Education Fitrihana, Noor; Nurdiyanto, Heri
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1180

In the contemporary landscape of education, integrating informatics into vocational education has emerged as a crucial strategy for enhancing student competence and preparing them for the demands of the modern workforce. This paper explores the role of informatics-based vocational education in developing the technical and cognitive skills required in today’s technology-driven industries. By embedding informatics into vocational curricula, students gain hands-on experience with advanced technologies, fostering a deeper understanding of computational thinking, problem-solving, and data analysis. The study outlines the theoretical framework for informatics-based education, emphasising its significance in vocational training. It highlights the importance of aligning educational programs with industry standards and technological advancements to ensure graduates have relevant and up-to-date skills. Through an extensive literature review, the paper identifies key components of effective informatics-based vocational education, including curriculum design, pedagogical approaches, and assessment methodologies. Several case studies illustrate the practical benefits of informatics in vocational education. For instance, a technical school incorporating coding and data analytics into its curriculum reported a significant increase in student engagement and achievement. Similarly, a vocational college that adopted simulation-based learning for industrial automation saw enhanced proficiency among students in operating complex machinery. The paper also addresses the challenges associated with implementing informatics-based vocational education. These include the need for continuous professional development for educators, investment in up-to-date technological infrastructure, and creating partnerships with industry to provide real-world learning opportunities. To overcome these challenges, the paper suggests a multifaceted approach that involves policy support, stakeholder collaboration, and ongoing research into best practices. In conclusion, informatics-based vocational education holds substantial potential for improving student competence by equipping them with essential skills for the digital age. By fostering a learning environment that integrates technology and industry relevance, vocational education can produce a workforce that is proficient in technical skills and adaptable to the evolving demands of the job market. This paper underscores the necessity of embracing informatics in vocational training to ensure that students are prepared for the complexities of the future workplace.

Digitalisasi Produk UMKM di Kabupaten Blora dalam Rangka Optimalisasi Usaha Darmono, Darmono; Ilma, Awla Akbar; Nurdiyanto, Heri; Wulandari, Ella; Susanto, Tofan; Sudaryono, Sudaryono; Praptiwi, Wahyu Kharina
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 3 (2025): Agustus
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/nnjrx063

Digitalisasi produk menjadi strategi penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk meningkatkan daya saing di era ekonomi digital. Kabupaten Blora sebagai salah satu wilayah dengan potensi UMKM yang beragam menghadapi tantangan dalam pemasaran, keterbatasan akses pasar, serta rendahnya pemanfaatan teknologi digital. Penelitian ini bertujuan untuk mengkaji proses digitalisasi produk UMKM di Kabupaten Blora dalam rangka optimalisasi usaha, khususnya melalui pemanfaatan e-commerce, media sosial, dan integrasi layanan finansial digital. Metode yang digunakan adalah studi deskriptif dengan pendekatan kualitatif, melalui wawancara, observasi, serta analisis dokumen terkait. Hasil penelitian menunjukkan bahwa digitalisasi memberikan dampak signifikan terhadap peningkatan visibilitas produk, perluasan jangkauan pasar, dan efisiensi operasional. Namun, masih terdapat kendala berupa keterbatasan literasi digital, infrastruktur teknologi, dan modal usaha. Dengan dukungan pelatihan, pendampingan, serta kolaborasi antara pemerintah daerah, akademisi, dan pelaku industri, UMKM di Blora berpotensi mengoptimalkan digitalisasi sebagai strategi pengembangan usaha berkelanjutan

Student Opinions on the Use of High-Tech Mobile Devices in the Design of Digital Games for Learning Jeanette, Eva; Ovchinnikova, Brooks; Nurdiyanto, Heri
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : Universitas Dharma Wacana

Schools have adopted digital technologies as a strategy for learning and teaching activities because it offers opportunities for scaffolding. This strategy has been implemented in conjunction with creative activities. In addition, activities based on digital games, known as digital game-based learning (DGBL), and various mobile technologies, have been piloted in schools over the past few years to develop innovative learning. The purpose of this research is to investigate how children's collaborative interactions develop while participating in activities requiring them to solve problems utilizing intelligent and mobile technology. Our research combines theoretical viewpoints on joint participation, affordances, and a sense of community in the context of collaborative interactions. This is done with a contextual perspective on learning as its starting point. The following are some of the questions posed in this research: (1) How do children's digital game design activities drive and support collaborative interactions while they are engaged in problem-solving activities? Furthermore, (2) How do children's ideas for designing digital games manifest themselves during activities involving the design of games that involve innovative mobile technology? The study is based on a case where a creative workshop was held with 22 Swedish third-grade children aged 9 to 10 years old who participated in game design activities in a pedagogical lab. When the children worked together to solve the problem of designing and producing a joint digital game idea using mobile technology, a sense of community emerged due to their efforts. The study's results were analyzed using a thematic approach, which revealed that the children used different orientations in their collaborative interactions. Based on this, we argue that it is crucial to be aware of the pedagogical context when preparing for educational activities that involve innovative mobile technology. This is because the pedagogical context is the aspect of the design that creates meaningful collaborative interactions, and it is only then that innovative mobile technology becomes smart. These findings have significant ramifications for the methodological field of incorporating cutting-edge mobile technology into various types of educational settings

Analysis of Expert System for Early Diagnosis of Disorders During Pregnancy Using the Forward Chaining Method Basiroh, Basiroh; Priyatno, Priyatno; Kareem, Shahab Wahhab; Nurdiyanto, Heri
International Journal of Artificial Intelligence Research Vol 5, No 1 (2021): June 2021
Publisher : Universitas Dharma Wacana

Nowadays technological developments are increasingly having a positive influence on the development of human life, including in the health sector. One of them is an expert system that can transfer an expert's knowledge into a computer application to simplify and speed up the diagnosis of a disorder or disease in humans. The purpose of this final project is to design an application to diagnose diseases that occur during pregnancy which is caused by the existence of these pregnancies to simplify and speed up the diagnosis of diseases experienced by pregnant women. This study uses the forward chaining method. By involving experts in this expert system analysis according to current needs. Users are given easy access to information on several types of pregnancy disorders and their symptoms, as well as consultation through several questions that the user must answer to find out the results of the diagnosis. While experts are facilitated in system management, both the process of adding, updating and, deleting data.

A contribution spanning three time periods offered by artificial intelligence and synthetic biology Sven, Diaconescu Ada; Bellman, Francesco; Nurdiyanto, Heri
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.348

The field of synthetic biology benefits significantly from the application of artificial intelligence. I'd want to make three suggestions, which all have something to do with the past, the present, and the future of artificial intelligence. The works of Turing and von Neumann in biology and artificial systems from the past are exciting to investigate within the new framework of synthetic biology, particularly regarding the concepts of self-modification and self-replication as well as their links to the emergence and the bottom-up approach. The ongoing epistemological investigation into the emergence and the research being conducted on swarm intelligence, superorganisms, and biologically inspired cognitive architecture may result in discoveries on the potential uses of synthetic biology to explain mental processes. Finally, the current discussion on the future of artificial intelligence and the rise of superintelligence may point to some research trends for the future of synthetic biology and help to better define the boundary of concepts such as "life," "cognition," "artificial," and "natural," as well as their interconnections in theoretical synthetic biology. In addition, the rise of superintelligence may point to some research trends for the future of synthetic biology

Fuzzy Preference Relations-Based AHP for Multi-Criteria Supplier Segmentation Nurdiyanto, Heri; Fauzi, Chairani; Lestari, Sri
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1103

Supplier segmentation is a strategic activity for businesses. It involves dividing suppliers into distinct categories and managing them differently. Various supplier typologies based on different dimensions and factors are available in the existing literature. By highlighting two main characteristics the skills and the desire of suppliers to work with a specific company this article integrates many typologies. Almost all of the supplier segmentation criteria stated in the literature are covered by these dimensions. These dimensions can be defined utilizing a multi-criteria decision-making process for each specific case. To account for the inherent ambiguities and uncertainties in human judgment, a fuzzy Analytic Hierarchy Process (AHP) is suggested as part of the technique. This approach makes use of fuzzy preference relations. A broiler firm uses the suggested process to divide up its suppliers. A categorization of vendors according to two aggregated criteria is the end outcome. Lastly, we offer some suggestions for future research, draw some conclusions, and talk about some techniques to address distinct sectors

Application of Computer Vision and Pattern Recognition in Automated Quality Inspection of Industrial Products Nurdiyanto, Heri; Kindiasari, Aktansi; Sulistiyanto, Sulistiyanto
International Journal of Artificial Intelligence Research Vol 9, No 2 (2025): December
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i2.1507

Quality inspection is a critical process in industrial production to ensure that products meet predefined standards and specifications. Traditionally, quality inspection has relied heavily on manual visual checks, which are time-consuming, subjective, and prone to human error. This study explores the application of computer vision and pattern recognition techniques to develop an automated quality inspection system for industrial products. The proposed system employs high-resolution cameras and image processing algorithms to capture and analyze visual features of products in real-time on the production line. Key techniques utilized include feature extraction, edge detection, and texture analysis to identify defects such as scratches, dents, and dimensional inaccuracies. Pattern recognition algorithms, such as support vector machines (SVM) and convolutional neural networks (CNN), are trained on large datasets of product images to classify items as acceptable or defective with high accuracy. The system was tested on a dataset collected from a manufacturing facility producing metal components. Experimental results demonstrate that the automated system achieved an inspection accuracy of 98%, significantly outperforming manual inspection methods in terms of speed and consistency. Furthermore, the integration of this system into the production line reduced inspection time by approximately 70% and minimized production downtime. This research highlights the potential of intelligent informatics, particularly computer vision and pattern recognition, in enhancing the efficiency, reliability, and scalability of industrial quality control processes. The findings suggest that such automated systems can contribute significantly to the advancement of Industry 4.0 by enabling smart manufacturing practices and reducing dependence on manual labor. Future work will focus on extending the system to handle more complex products and dynamic production environments

Co-Authors A.A. Ketut Agung Cahyawan W Aktansi Kindiasari Aldi Muharsyah Apsiswanto, Untoro Bellman, Francesco Budi Sutomo Darmono Dikki Handoko Efori Buulolo Ella Wulandari Envermy Vem, Envermy Fachrurrazi Fachrurrazi Fauzi, Chairani Febri Sugandi Hermanto Hermanto Hotmelinsa Situmorang Ibrahim Khalid Ilma, Awla Akbar Inas Ajeng Nur Afifah Iqbal Saeed Umar Irfan Setiawan Jeanette, Eva Kareem, Shahab Wahhab Khasanah Khasanah Kindiasari, Aktansi Leonel Hernandes M Ikhsan Setiawan Maharani Maharani, Maharani Mesran Mesran Mesran, Mesran Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nidia Sutrikanti Noor Fitrihana Ovchinnikova, Brooks Praptiwi, Wahyu Kharina Priyatno, Priyatno Ridwan Yusuf Sadiq Ullah Saputri, Tri Aristy Soraya Rahma Hayati Sri Lestari Sudaryono Sudaryono Suginam Sulistiyanto Sulistiyanto Sulistiyanto Sulistiyanto, Sulistiyanto Surya Darma Nasution Susanto, Tofan Sutiksno, Dian Utami Sven, Diaconescu Ada Syaputra, Muhammad Adie Taronisokhi Zebua Usep Saprudin Yuhandri Yuhandri, Yuhandri

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