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Gaya Bahasa dan Nilai-Nilai Pendidikan Karakter: Studi Stilistika-Kritik Sastra Heurmeneutika Terhadap Syair Da’il Ayyam Idris, Ilham Maulana; Abdurohman, Maman
Al-Fathin: Jurnal Bahasa dan Sastra Arab Vol 8 No 02 (2025): Al-Fathin: Jurnal Bahasa dan Sastra Arab
Publisher : Institut Agama Islam Negeri Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/y8c54d34

Abstract

This study explores the uniqueness of the language style found in the classical Arabic poem Daʿ Il-Ayyām Tafʿal Mā Tashāʾ by Imam al-Shāfiʿī. Using an interdisciplinary approach that integrates stylistics and literary criticism, particularly Paul Ricoeur's hermeneutic theory, this study employs a descriptive-qualitative method. Documentation techniques are used as the main technique in data collection. 12 stanzas of the poem are analyzed at two main levels of stylistic analysis: syntax and morphology. Each linguistic level is examined based on its role in conveying the values ​​of character education in the poem. The research findings reveal that specific syntactic-morphological structures, such as the deliberate use of the imperative (fiʿl amr) 4 times and the prohibition forms (fi'il nahi) 2 times, the subjunctive form 1 time and the adjective form 2 times function as firm moral instructions and powerful means to express profound character values. The main character education values ​​revealed through stylistic analysis based on hermeneutic interpretation include the character education values ​​of tawakal (relief), patience, steadfastness, generosity, and maintaining honor. Overall, this study proves that the stylistic framework is an effective approach to uncovering the layered, implicit, and emotionally charged meanings in classical Arabic poetry, and underscores the importance of interdisciplinary analysis in bridging linguistic form and moral communicative function in literary discourse.
Alih Teknologi Proctoring Otomatis: Inovasi Pendidikan Daring di Universitas Kuningan Muhammad Arief Nugroho; Ikke Dian Oktaviani; Maman Abdurohman; Sidik Prabowo
JAPATUM: Jurnal Pemanfaatan Teknologi untuk Masyarakat Vol 4 No 2 (2025): Juni 2025
Publisher : MATRADIPTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59328/JAPATUM.2025.4.3.77

Abstract

Kegiatan pengabdian masyarakat ini mengembangkan dan mengimplementasikan sistem proctoring otomatis sebagai bagian dari alih teknologi untuk meningkatkan integritas akademik ujian daring di Universitas Kuningan (UNIKU) melalui integrasi dengan Moodle Learning Management System (LMS) pada platform hybrid.uniku.ac.id. Sistem ini mengadopsi arsitektur client-server, dengan plugin proctoring sebagai client di LMS UNIKU dan server berbasis GPU di data center Telkom University untuk pemrosesan real-time. Fitur utama meliputi verfiikasi webcam, pengenalan wajah, berbagi layar penuh, dan deteksi pelanggaran, yang dapat diatur oleh dosen melalui konfigurasi interval pengambilan gambar dan batas maksimal pelanggaran. Implementasi berhasil dilakukan di e-learning UNIKU menunjukkan efektivitas sistem dalam mendukung ujian adil dan efisien. Pembahasan menyoroti keberhasilan alih teknologi ini, meskipun beberapa tantangan seperti latensi jaringan dan kondisi lingkungan perlu perhatian lebih lanjut. Sistem ini menjadi langkah signifikan dalam transformasi pendidikan daring di UNIKU, memperkuat kapasitas institusi dalam memanfaatkan inovasi teknologi.
Performance Comparison of YOLOv8 and DETR in White Blood Cell Detection Andrian Rakhmatsyah; Maman Abdurohman; Bayu Erfianto; Delita Prihatni
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6864

Abstract

Automated detection and classification of white blood cells (WBCs) from microscopic images play a vital role in supporting the diagnosis of hematological diseases. Accurate and robust object detection algorithms are essential for handling interclass similarities and imbalanced datasets. This study aims to evaluate and compare the performance of two modern object detection algorithms—Detection Transformer (DeTR) and YOLOv8—in performing multiclass WBC classification using public datasets from various sources with diverse visual characteristics. Five experimental scenarios were designed based on varying class distributions and data augmentation techniques, including horizontal/vertical flipping and random rotation. Both methods were trained and evaluated on the same dataset partitions, and their performances were assessed using the following standard metrics: precision, recall, and F1-score for each WBC class. The results show that YOLOv8 consistently achieved superior and more stable performance across all scenarios, with average F1-scores close to 1.00 even in augmented and imbalanced conditions. In contrast, DeTR performed competitively in balanced scenarios but showed lower consistency, particularly in classes such as Neutrophil and Monocyte. Data augmentation positively affected both models, although the gains were more prominent in YOLOv8. This study highlights the strong potential of YOLOv8 in real-time WBC classification tasks and presents DeTR as a viable yet less-optimized approach for this application. These findings contribute to the advancement of medical image-based object detection and offer valuable insights into the selection of appropriate algorithms for hematological image analysis
Design and Performance Evaluation of a Low-Cost Portable Rotary Cutting Machine for Sugar Palm Inflorescence Stalk Trimming Riza Muhida; Muhammad Riza; Erry Yulian Triblas Adesta; Mochamad Ibnu Safari; Maman Abdurohman; Rifki Muhida; Ari Legowo
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 8 No. 2 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v8i2.38641

Abstract

Sugar palm (Arenga pinnata) sap tapping still relies on manual trimming of the inflorescence stalk surface using a machete. Although rotary cutting devices have been studied for several agricultural materials, quantitative evidence for a low-cost handheld machine specifically designed for sugar palm inflorescence stalk trimming is still limited. This study designed, fabricated, and evaluated a portable low-energy rotary cutting machine that integrates a rotary disc blade, DC worm gear motor, worm gearbox, rechargeable lithium battery, and protective blade cover. The novelty of the study is the task-specific evaluation of cutting time, operational capacity, energy consumption, battery-based trimming capacity, and prototype cost for smallholder sap tapping. Manual and machine-assisted trimming were compared using 20 repetitions for each method. The average cutting time decreased from 22.4 ± 1.1 to 6.8 ± 0.6 s/stalk, corresponding to a 69.64% reduction and 3.29 times faster operation than manual trimming. Operational capacity increased from 160.7 to 529.4 stalks/hour. The machine operated at 10.8 V and 0.95 A, requiring 10.26 W and 0.0194 Wh/stalk. A fully charged 10.8 V, 4.8 Ah battery can theoretically support approximately 2675 trimming operations before complete drainage. The prototype material cost was Rp 433,000, equivalent to approximately USD 24.25 using an exchange rate of Rp 17,856/USD. The results indicate that the developed device is a feasible low-cost and low-energy mechanization option for repetitive sugar palm inflorescence stalk trimming.