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p-Index From 2021 - 2026
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All Journal Applied Information System and Management Jurnal Padamu Negeri
Andi Nurkholis
UPN Veteran Yogyakarta
Education Languange, Linguistic, Communication & Media Other

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PENGENALAN TEKNOLOGI AUGMENTED REALITY UNTUK PENINGKATAN KUALITAS PEMBELAJARAN PADA PPTQ AZZAKIYYAH Rudy Cahyadi; Budi Suyanto; Andi Nurkholis; Andrey Ferriyan; Yuli Fauziah
Jurnal Padamu Negeri Vol. 3 No. 2 (2026): April : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/hmt46q48

Abstract

This Community Service activity aims to improve the understanding of teachers, ustadz, and ustadzah regarding the concept, working principles, and potential use of Augmented Reality as an interesting, interactive, and character-appropriate learning medium for students in Islamic boarding schools. The main problem faced by partners is the low basic understanding of Augmented Reality among educators and the absence of specific activities that systematically introduce Augmented Reality in the learning context. As a solution, the Community Service team developed an introductory program that explains the basic concepts of Augmented Reality, examples of its application in education, and opportunities for its adaptation to religious and general materials at PPTQ Azzakiyyah. The activity, which was carried out on December 17, 2025, was considered successful; participants stated that their understanding and insight into Augmented Reality increased, the material was clear and relevant, and the level of satisfaction was in the very good category. The results of the questionnaire showed that all aspects of the assessment were in the good category, so that this Community Service was effective in increasing the empowerment of partners in literacy and initial readiness to utilize Augmented Reality as a learning support. This program also opens up insights that AR can be integrated selectively without abandoning Islamic values and becomes an important foundation for further training, development of Augmented Reality-based learning media, and strengthening ongoing cooperation between universities and Islamic boarding schools.
Cocoa Land Suitability Analysis Using ID3 Spatial Algorithm Andi Nurkholis; Ririn Wuri Rahayu; Andrey Ferriyan; Akfina Ni’mawati
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46681

Abstract

Cocoa production in Indonesia encounters ongoing challenges due to declining plantation areas and suboptimal land utilization. This study applies the ID3 Spatial algorithm to evaluate land suitability for cocoa cultivation in Bogor Regency, West Java Province. The methodology integrates nine basic land characteristics, including elevation, drainage, relief, base saturation, cation exchange capacity, soil texture, soil pH, and mineral soil depth, derived from field surveys conducted by BBSDLP. Two classification models were developed and tested using spatial data preprocessing techniques. Model M1 was the baseline approach without constraints, while Model M2 incorporated a minimum planted area threshold of ≥1 ha. The results show notable performance differences between models. Model M2 achieved a reasonable accuracy of 87.27% compared to Model M1’s 29.09%, with relief identified as the root node due to its higher gain value and reduced entropy. Classification results indicate that Bogor Regency’s cocoa cultivation potential comprises 16,443 ha of S2 (moderately suitable) land and 231,018 ha of S3 (marginally suitable) land. The generated land suitability map may provide stakeholders with helpful guidance for identifying potential cultivation areas. The result suggests that artificial intelligence integration, specifically the ID3 spatial algorithm, could improve land suitability evaluation processes, potentially supporting more informed agricultural development decisions.
Co-Authors Akfina Ni’mawati Andrey Ferriyan Andrey Ferriyan Budi Suyanto Ririn Wuri Rahayu Rudy Cahyadi Yuli Fauziah