Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Scientific Journal of Informatics Custodia: Journal of Legal, Political, and Humanistic Inquiry
Muhammad Aidil Saputra
Unknown Affiliation
Computer Science & IT Law, Crime, Criminology & Criminal Justice

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Sumber-Sumber Hukum Acara Perdata dan Batas Kewenangan Hakim dalam Sengketa Perdata: Studi Kasus Putusan Nomor 791/Pdt.G/2024/PN Jkt.Utr Mesya Assauma Nurfitra; Mohammad Ammar Rasya; Rafli Romadhon; Muhammad Aidil Saputra; Mesya Assauma Nurfitrah
Journal of Legal, Political, and Humanistic Inquiry Vol 1 No 4 (2026): June: Custodia: Journal of Legal, Political, and Humanistic Inquiry
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/4y5vrf16

Abstract

This study examines the implementation of civil procedural law sources and the limitations of judicial authority in civil disputes through a doctrinal legal analysis of Decision Number 791/Pdt.G/2024/PN Jkt.Utr. Employing statute, conceptual, and case approaches, the research analyzes the conformity of procedural norms under the Herziene Indonesisch Reglement, Article 1365 of the Civil Code, and Supreme Court regulations on mediation with the judicial reasoning applied in the case. The findings reveal that procedural law functions not merely as a formal framework but as a normative instrument that guides the admissibility of claims, the assessment of absolute and relative competence, and the proper exercise of judicial authority. Mediation and the principles of simple, swift, and cost-effective justice effectively enhance procedural efficiency while safeguarding the parties’ rights. The study demonstrates that adherence to procedural requirements and the systematic application of civil procedural norms enable courts to maintain legal certainty, uphold jurisdictional limits, and ensure equitable dispute resolution. This research contributes both theoretically and practically to the understanding of procedural law implementation in Indonesian civil courts.
PERBANDINGAN METODE TRANSFER LEARNING DALAM KLASIFIKASI PENYAKIT DAUN PADI Aldi Daffa Arisyi; Muhammad Aidil Saputra; Muhammad Rafif Hanif; Anindita Septiarini; Akhmad Irsyad
Jurnal Ilmiah Informatika Vol. 11 No. 1 (2026): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/.v11i1.24-34

Abstract

This study compares four transfer learning-based CNN models, namely VGG19, ResNet152, MobileNetV2, and DenseNet121, for the classification of 10 classes of rice leaf diseases. Evaluation results on the test dataset show that ResNet152 achieves the best performance with an accuracy of 0.9553, precision of 0.9589, recall of 0.9553, and F1-score of 0.9558, followed by DenseNet121 (accuracy 0.9433), MobileNetV2 (0.9353), and VGG19 (0.9247). ResNet152 excels in recognizing complex features through its skip connection mechanism, while DenseNet121 is more efficient with the lowest validation loss. MobileNetV2 is the lightest and fastest model, making it suitable for resource-limited devices. Based on the confusion matrix analysis, all models are able to classify the neck blast class perfectly; however, misclassifications still occur among visually similar classes such as brown spot, narrow brown spot, and leaf blast. Overall, transfer learning is proven effective for rice leaf disease classification, with ResNet152 and DenseNet121 being the most recommended models.
Co-Authors Aldi Daffa Arisyi Anindita Septiarini, Anindita Irsyad, Akhmad Mesya Assauma Nurfitra Mesya Assauma Nurfitrah Mohammad Ammar Rasya Muhammad Rafif Hanif Rafli Romadhon