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Temporal Sequential-Artificial Neural Network Enhancements for Improved Smart Lighting Control Putrada, Aji Gautama; Abdurohman, Maman; Perdana, Doan; Nuha, Hilal Hudan
JURNAL INFOTEL Vol 16 No 1 (2024): February 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i1.1025

Abstract

Several previous studies have proposed a temporal sequential-artificial neural network (TS-ANN) to convert PIR Sensor movement data into presence data and improve the performance of smart lighting control. However, such a temporal-sequential forecasting concept has a curse of dimensionality problem. This study aims to proposes the application of principal component analysis with TS-ANN (PCA-TS-ANN) as an intelligent method for controlling smart lighting with low dimensions. We have primary data directly from a smart lighting implementation that utilizes PIR sensors. We apply cross-correlation to the original dataset to find the optimum time step. Then we discover the optimum TS-ANN based on selected tuning parameter values through PCC. We then design and compare scenarios involving the combination of TS-ANN and PCA. Finally, we evaluate these scenarios using the metrics Accuracy, Precision, Recall, F1− Score, and Delay. The results of this study are the PCA-TS-ANN model with Accuracy, Precision, Recall, and F1−Score value of 0.9993, 0.9997, 0.9994, and 0.9996 respectively. The PCA method reduces the TS-ANN features from 1200 features to 36 features. The model size has also decreased from 3534kB to 807kB. Our model has a simpler complexity with TS-ANN that the µ ± σ Delay is 0.27±0.06 ms versus 0.34±0.11 ms.
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.