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Integrasi Nilai Tauhid dan Akhlak Karimah dalam Pengembangan Model Project-Based Learning (PjBL) Adaptif Digital pada Pembelajaran Aqidah Akhlak Daulay, Aswan; Sitorus, Ahmad Nasir; Bahrul, Bahrul; Simanjuntak, Salman; Rodiah, Rodiah
Invention: Journal Research and Education Studies Volume 6 Nomor 3 November 2025
Publisher : CV. PUSDIKRA MITRA JAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/invention.v6i3.3178

Abstract

Pembelajaran Pendidikan Agama Islam (PAI), khususnya pada mata pelajaran Aqidah Akhlak, secara historis menghadapi tantangan krusial dalam mentransformasi pemahaman dogmatis (kognitif) menjadi internalisasi nilai yang termanifestasi sebagai perilaku luhur (akhlak karimah). Persoalan ini semakin diperparah oleh disrupsi masif di era digital, yang menuntut adanya respons pedagogis yang tidak hanya mengembangkan kompetensi abad ke-21 (4C) tetapi juga memastikan fondasi karakter spiritual yang kokoh. Penelitian pengembangan (Research and Development – R&D) ini bertujuan untuk (1) mengkaji secara mendalam landasan filosofis kausalitas Tauhid terhadap Akhlak Karimah, (2) menganalisis relevansi Model Project-Based Learning (PjBL) sebagai pendekatan pedagogis yang ideal, dan (3) merumuskan desain konseptual Model PjBL Integratif Tauhid-Akhlak Adaptif Digital. Menggunakan pendekatan kualitatif-deskriptif melalui kajian literatur sistematis di fase awal, diikuti dengan perancangan dan validasi konseptual model yang mengadaptasi prosedur Borg & Gall, hasil penelitian menunjukkan bahwa Tauhid—khususnya dalam kerangka Islamization of Knowledge Al-Faruqi—merupakan basis epistemologis tunggal bagi etika Islami. Model PjBL yang dirancang mengintegrasikan Spiritual Checkpoints pada setiap sintaksnya, memastikan bahwa pengembangan kompetensi 4C diikat secara kuat pada nilai-nilai ketauhidan (Ihsan, Amanah, Wahdatul Ummah). Selain itu, model ini memanfaatkan teknologi deep learning dan sistem pembelajaran adaptif untuk memitigasi risiko konten irrelevan dan mendukung peran guru sebagai murabbi (coach moral). Desain model ini terbukti sangat layak secara teoretis dan aplikatif, menjanjikan kerangka kerja pedagogis yang mampu menghasilkan generasi yang berilmu, berkarakter rabbani, dan adaptif terhadap kompleksitas tantangan global.
Menata Pendidikan Islam di Era Digital: Perspektif Fiqih Pendidikan dan Maqasid al-Syari‘ah Abidin, Zainal; Zulkarnain, Iskandar; Sitorus, Ilham Fadhillah; Nurainun, Nurainun; Rodiah, Rodiah
Invention: Journal Research and Education Studies Volume 6 Nomor 3 November 2025
Publisher : CV. PUSDIKRA MITRA JAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/invention.v6i3.3181

Abstract

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Case Study of Student Learning Difficulties in Mathematics Learning at MTs Muallimin Univa Medan Simamora, Minta Ito; Wati, Sartika; ‘Aini, Fadhlul; Rodiah, Rodiah
OMEGA: Jurnal Keilmuan Pendidikan Matematika Vol. 5 No. 1 (2026): OMEGA: Jurnal Keilmuan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/jkpm.v5i1.1245

Abstract

This study aims to describe the types of mathematics learning difficulties experienced by students at MTs Muallimin Univa Medan and the contributing factors. The research method used is descriptive qualitative. The research subjects consisted of 7th- grade students and mathematics teachers. Data collection was conducted through classroom observations, in-depth interviews, and diagnostic test analysis. The results showed that the students' main difficulties included difficulty in understanding abstract concepts, weaknesses in basic arithmetic operations, and low contextual problem-solving abilities. The factors causing these difficulties stem from internal factors (low motivation and math anxiety) and external factors (less varied teaching methods and lack of learning support at home).
Smart Journal Finder: A Web-Based Scientific Article Categorization Using Jaccard Similarity Rodiah, Rodiah
ILKOM Jurnal Ilmiah Vol 18, No 1 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i1.2814.17-29

Abstract

The rapid growth of scientific publications presents challenges for researchers in identifying appropriate journals for manuscript submission. With an overwhelming number of journals across diverse disciplines, manually matching a manuscript to a suitable journal becomes inefficient and prone to misclassification. This study proposes the Smart Journal Finder, a web-based system designed to recommend relevant scientific journals by analyzing textual similarities between user-submitted manuscripts and indexed journal articles. The system processes input data including the title, abstract, keywords, and field of study through several stages: preprocessing, stop word removal, stemming using the Nazief-Adriani algorithm, and duplicate term elimination. Similarity scoring is performed using the Jaccard Similarity algorithm, followed by ranking the results and displaying journal metadata such as subject, publisher, and citation metrics. Results show that the system accurately transforms and filters input text, effectively calculates similarity scores, and successfully matches manuscripts to appropriate journals. By automating this process, the Smart Journal Finder enhances the efficiency of journal selection, improves the relevance of publication targets, and supports researchers in increasing the visibility and impact of their work. However, the current implementation is limited to Indonesian-language journals and does not yet incorporate semantic similarity or multilingual processing. Future work will focus on expanding coverage across disciplines and integrating more advanced similarity models.
Deep learning based identification of Crocidolomia pavonana larvae on mustard plants using Grad-CAM Susetianingtias, Diana Tri; Madenda, Sarifuddin; Risnawati, Risnawati; Maukar, Maukar; Patriya, Eka; Rodiah, Rodiah
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11343

Abstract

Mustard greens are an important vegetable commodity, but their production is often affected by pest attacks, especially the cabbage worm Crocidolomia pavonana (C. pavonana). The larvae damage leaf tissues and cause significant yield losses, while chemical control is often ineffective due to differences in insecticide sensitivity across larval instars. This study proposes a deep learning based classification approach combined with gradient weighted class activation mapping (Grad-CAM) to identify larval instars of C. pavonana on mustard plants. A dataset of 684 images covering instars 1 to 4 was collected from laboratory rearing and field observations, then processed using resizing and augmentation techniques and divided into training, validation, and testing sets with an 8 to 1 to 1 ratio. Two convolutional neural network (CNN) models, visual geometry group 19 (VGG19), and Xception, were implemented with additional fully connected layers. The VGG19 model achieved 94.20% accuracy and outperformed Xception. Grad-CAM successfully highlighted larval regions and supported visual interpretation. The results show that the proposed method can improve pest identification accuracy and support more effective pest management.
Co-Authors Abda Abda Adji Santoso Dradjat Ai Rosidah Aminurrahman, Aminurrahman Andri Hanafi Andri Hanafi Arnita, Windi Fahmi Arya Aji Kusuma Bahrul, Bahrul Baiq Alfia Rahmatul Aini CLEOPATRA, MARIA Daulay, Aswan Dede Nurhayati Dewi Agushinta R. Diana Tri Susetianigtias Dody Pernadi Dody Pernadi Eka Patriya Endang Setyowati Enny Yuliani Ernastuti Ernastuti Ety Sutanty Febrian, Baiq Eka Fitrianingsih Fitrianingsih Hadianur, Muhammad Haswari, Nanda Ciptaning Hidayah , Nurul I Wayan Lanus Sumadiasa Ilhamsyah Lalu Ahmad Zaenuri Lalu Ahmad Zaenuri, Lalu Ahmad Lukman HY, Lukman HY LUKMAN, LUKMAN LukmanHY, LukmanHY M. Saltiar Kiswanto Mahfudhah, Nariswari Maukar Maukar Maulana, Alvin Muhamad Juandi Muhammad Hanif Muliyono, Nurwakhid Nur Azizah Nurainun Nurainun Nuralifia, Elsa Mutiara NURUL HIDAYAH Patriya, Eka Putra, Wahyuda Mandala Rini Arianty Rini Arianty Rismayuni, Rismayuni Risnawati Risnawati Saadal Jannah Sarifuddin Madenda Sholeh, Zakiah Ulfah Simamora, Minta Ito Simanjuntak, Salman Sitorus, Ahmad Nasir Sitorus, Ilham Fadhillah soleha, Aisyah Putri Suni, Muhammad Asy’ Arya Suryarini Widodo Susetianingtias, Diana Tri Tri Susetianingtias, Diana Triyani, Rika Subarniati Ubudiyah, Sativa Umri, Ropizar Usiana, Shilan Wati, Sartika Zainal Abidin ‘Aini, Fadhlul