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Pelatihan dan Implementasi Media Pembelajaran AI bagi Guru SMP 17 1 Yogyakarta dalam Mendukung Pembelajaran Interaktif Mustaqim, Ilmawan; Rahman, Dzul Fadli; Nurdiyanto, Heri
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/efcgzj79

Abstract

Pelatihan dan implementasi media pembelajaran berbasis kecerdasan buatan (AI) menjadi salah satu strategi penting dalam meningkatkan kompetensi guru di era digital. Program pengabdian masyarakat ini dilaksanakan di SMP 17 1 Yogyakarta dengan tujuan membekali guru keterampilan dalam merancang media pembelajaran interaktif berbasis AI. Metode kegiatan meliputi observasi awal, penyusunan modul pelatihan, pelaksanaan pelatihan, pendampingan implementasi, serta evaluasi. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam kompetensi digital guru. Rata-rata nilai pre-test sebesar 58,2 meningkat menjadi 84,5 pada post-test, dengan tingkat kepuasan peserta mencapai 90,9%. Guru mampu memanfaatkan aplikasi AI untuk menghasilkan materi ajar yang lebih variatif, sementara siswa menunjukkan keterlibatan yang lebih tinggi dalam pembelajaran. Meskipun terdapat kendala berupa keterbatasan infrastruktur dan resistensi awal sebagian guru, program ini terbukti efektif dalam mendorong inovasi pembelajaran. Kegiatan ini diharapkan dapat berlanjut melalui evaluasi berkala dan pengembangan komunitas guru berbasis AI
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.803 KB) | DOI: 10.29099/ijair.v6i2.358

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.062 KB) | DOI: 10.29099/ijair.v5i1.203

Abstract

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

Abstract

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

Abstract

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
Kawan Tani: Pemberdayaan Kemitraan Petani dengan Model Pertanian Berkelanjutan dan Agropreneurship di Desa Wirokerten Banguntapan Bantul DIY Nurdiyanto, Heri; Pusporini, Widowati; Suparmanto, Nova
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/scc8v478

Abstract

Program Kawan Tani merupakan sebuah inisiatif pemberdayaan masyarakat desa yang berfokus pada peningkatan kapasitas petani melalui pendekatan pertanian berkelanjutan dan pengembangan agropreneurship. Desa Wirokerten, Kecamatan Banguntapan, Kabupaten Bantul, Daerah Istimewa Yogyakarta, dipilih sebagai lokasi implementasi program karena mayoritas warganya masih bergantung pada sektor pertanian dengan tantangan utama berupa keterbatasan akses pasar, rendahnya inovasi pengolahan hasil tani, serta praktik budidaya yang belum sepenuhnya ramah lingkungan. Melalui model kemitraan, program ini berupaya mempertemukan petani, akademisi, pemerintah, dan sektor swasta dalam sebuah ekosistem kolaboratif yang menekankan prinsip triple helix. Strategi yang digunakan meliputi pelatihan teknik pertanian organik, manajemen rantai pasok, pengolahan produk bernilai tambah, serta penguatan literasi keuangan dan pemasaran digital berbasis media sosial. Selain itu, pendampingan intensif diberikan untuk membentuk kelompok agropreneur muda desa yang mampu mengelola usaha tani secara profesional dengan orientasi keberlanjutan. Hasil awal menunjukkan adanya peningkatan kesadaran petani terhadap pentingnya menjaga kesuburan tanah, penggunaan pupuk organik, serta diversifikasi produk menjadi olahan pangan siap jual. Dari sisi ekonomi, tercatat kenaikan rata-rata pendapatan sebesar 15–20% setelah penerapan strategi pemasaran kolektif dan penjualan daring. Dampak sosial juga terlihat dari terbentuknya jaringan koperasi tani yang berfungsi sebagai pusat distribusi dan negosiasi harga. Program Kawan Tani membuktikan bahwa pemberdayaan berbasis kemitraan dan agropreneurship tidak hanya mampu meningkatkan kesejahteraan petani, tetapi juga memperkuat kemandirian desa sekaligus mendukung agenda pembangunan pertanian berkelanjutan di tingkat lokal. Dengan model ini, Desa Wirokerten diharapkan menjadi contoh praktik baik (best practice) bagi desa lain di wilayah Bantul dan Daerah Istimewa Yogyakarta