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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Komputer dan Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Journal of Computer Science and Informatics Engineering (J-Cosine) Journal on Education KOMPUTIKA - Jurnal Sistem Komputer ComTech: Computer, Mathematics and Engineering Applications TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Indonesian Journal of Electrical Engineering and Computer Science Al-Fathin: Jurnal Bahasa dan Sastra Arab Charity : Jurnal Pengabdian Masyarakat Bandung Conference Series: Economics Studies eProceedings of Engineering Jurnal INFOTEL
Maman Abdurohman
Universitas Telkom
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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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.
Co-Authors Aji Gautama Putra Aji Gautama Putrada Algi Fajardi Alieja Muhammad Putrada Andrian Rakhmatsyah Andry Alamsyah Anton Herutomo Arif Sasongko Arif Sasongko Baginda Achmad Fadillah Bambang Setia Nugroho Bayu Erfianto Dade Nurjanah Dani Prasetiawan Dita Oktaria Doan Perdana Elza Fitria Dwi Permatasari Erwid M Jadid Erwid Musthofa Jadied Fazmah Arif Y, Fazmah Fazmah Arif Yulianto Gabe Dimas Wicaksana Gayuh Titis Permana Haikal Rahmat Fadilah Hilal Hudan Nuha Idris, Ilham Maulana Idzar Andalan Tunjang Serawai Ikbar Mahesa Imas Nur Tiarani Joel Andrew M. K. Ginting Johan NMP Simatupang Khairunnisa Khairunnisa Krisna Ardhi Tama Krisna Kristiandi Hartono KUSPRIYANTO M. Deri Taufan Misioner Eman T. B. Moh. Khairudin Mohammad Lutfi Muhammad Rayhan Natadimadja Mulia Hanif Mutiara Zallya Rizkita Nando, Parlin Nando, Parlin Novian Anggis Suwastika Nuha, Hilal H Nur Ghaniaviyanto Ramadhan Palti Marulitua Sitorus Pamungkas, Rizaldi Ramdlani Prasetiawan, Dani Prihatni, Delita Putrada, Alieja Muhammad Putu Agus Fredy Raden Muhamad Yuda Pradana Kusumah Rahmat Yasirandi Rizal Mochamad Nazar Ryan Lingga Wicaksono Sarwono Sutikno Sidik Prabowo Sony Sumaryo Tito Mubarak Veshea Falerie Goszal