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Transformasi dan Dinamika Hukum Acara Perdata di Indonesia: Integrasi Asas, Sistem Pembuktian, dan Digitalisasi Peradilan
Prosiding Seminar Nasional Ilmu Hukum
Vol 3
, No 1
(2026)
This study examines the foundational framework and evolving dynamics of Indonesian civil procedural law (Hukum Acara Perdata) amid its transformation from colonial legal heritage toward a modern, digitalized justice system. Using normative-doctrinal legal research methodology combined with empirical court statistics from 2022–2024, the study analyzes four dimensions: (1) core procedural principles rooted in the HIR and RBg; (2) the mandatory mediation framework under PERMA No. 1 of 2016; (3) the...
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Penggunaan Katekese Digital bagi Pendidikan Iman Anak Usia Dini
Nubuat : Jurnal Pendidikan Agama Kristen dan Katolik
Vol 3
, No 2
(2026)
The development of digital technology has brought about significant changes in various aspects of life, including early childhood faith education. Today’s children are growing up in an environment familiar with digital media, making it necessary to adopt a catechetical approach that keeps pace with the times. This article aims to examine the use of digital catechesis as a tool for early childhood faith education. This study employs a qualitative method with a literature review approach, gatherin...
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Implementasi Pengamanan Data Pribadi dengan QR Code Terenkripsi Advanced Encryption Standard (AES) pada Gambar Digital Metode Discrete Cosine Transform (DCT)
International Journal of Applied Mathematics and Computing
Vol 2
, No 2
(2026)
The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number,...
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Deteksi Tingkat Konsentrasi Belajar Melalui Perilaku Siswa di Kelas Menggunakan Convolutional Neural Networks
International Journal of Applied Mathematics and Computing
Vol 2
, No 1
(2026)
This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859)...
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Analisis Tingkat Kepuasan Pengguna QRIS Berdasarkan Pengalaman Dan Persepsi Pengguna twitter/ X Menggunakan Naive Baiyes
International Journal of Information Engineering and Science
Vol 2
, No 4
(2026)
QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The...
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Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe
International Journal of Information Engineering and Science
Vol 2
, No 2
(2026)
The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective....
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Pencegahan Depresi Postpartum pada Ibu Nifas melalui Edukasi dan Skrining Epds Berbasis Telenursing di Komunitas: Studi Kasus
Journal of Educational Innovation and Public Health
Vol 4
, No 2
(2026)
Postpartum depression is a postpartum mental health disorder that significantly impacts maternal well-being, infant development, and family functioning. The high prevalence of postpartum depression in Indonesia is due to limited access to health services, low mental health literacy, and social stigma in the community. This indicates a significant gap between the need for maternal mental health services and the availability of existing interventions, making education a crucial component in effort...
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Dialog Pemikiran Pendidikan John Calvin Dan Kurikulum Merdeka: Implikasinya Bagi Pendidikan Agama Kristen Di Indonesia
Jurnal Budi Pekerti Agama Kristen dan Katolik
Vol 4
, No 2
(2026)
This article examines the dialogue between John Calvin’s educational thought and the Merdeka Curriculum within the context of Christian Religious Education (PAK) in Indonesia. Employing a qualitative-comparative approach with descriptive analysis, this study traces the points of convergence and tension between Calvin’s educational principles particularly the concept of imago Dei, holistic education, and the God-centered purpose of education and the principles of the Merdeka Curriculum such as fl...
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Pengaruh Kepemimpinan Kepala Sekolah dan Budaya Sekolah terhadap Disiplin Kerja Guru SMP Negeri di Kecamatan Sembawa Kabupaten Banyuasin
Jurnal Manajemen dan Pendidikan Agama Islam
Vol 4
, No 3
(2026)
This study aims to examine the influence of principal leadership and school culture on teacher discipline in public junior high schools (SMP Negeri) in Sembawa District, Banyuasin Regency. Teacher discipline is an important factor in supporting the effectiveness of the learning process and achieving educational goals. Therefore, understanding the factors that contribute to teacher discipline is essential for improving school performance. This study employed a quantitative research method with a...
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Optimization of Signature Language Tracking Objects Using GMM Models and Kalman Filters Including ROI
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 3
(2026)
Sign language recognition is one of the areas of image recognition and image processing technology that is developing rapidly in human-computer interaction. This technology really helps the deaf and speech impaired in communicating with non-disabled people. This research aims to examine the optimization of an object tracking system in sign language using the Gaussian Mixture Model (GMM) and Kalman Filter by including the Region of Interest (ROI). The proposed system consists of three main compon...
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