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All Journal Al-Manahij: Jurnal Kajian Hukum Islam BERKALA SAINSTEK MAHKAMAH: Jurnal Kajian Hukum Islam Mazahib Al-Daulah : Jurnal Hukum dan Perundangan Islam Constitutional Review JURNAL KAJIAN TEKNIK ELEKTRO International Journal on Emerging Mathematics Education BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal La Multiapp International Journal of Robotics and Control Systems JCOMENT (Journal of Community Empowerment) Al-Manahij : Jurnal Kajian Hukum Islam Berdikari : Jurnal Pengabdian kepada Masyarakat Jurnal Lektur Keagamaan El 'Aailah KAMI MENGABDI Journal of Applied Science and Advanced Engineering Jurnal Pengkajian Penelitian Syariah dan Ilmu Hukum
Ahmad Rofii
Institut Agama Islam Negeri (IAIN) Syekh Nurjati - Cirebon
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Pengembangan Teknologi Deteksi Hama Burung Berbasis Kecerdasan Buatan untuk Meningkatkan Keamanan Tambak dan Penguatan Interaksi Sosial Petani Tambak di Desa Pantai Bakti Wijonarko, Panji; Rofii, Ahmad; Zain, Herlina Muzanah; Sobirin, Muhammad; Lutfi Ramadhan, Muhammad; Da Conceição, Giovani Costa Almeida
JCOMENT (Journal of Community Empowerment) Vol. 6 No. 4 (2025): Community Empowerment
Publisher : The Journal Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55314/jcoment.v6i4.1049

Abstract

Kelompok Tani Karya Bakti di Desa Pantai Bakti memiliki potensi tambak udang yang belum dimaksimalkan akibat manajemen konvensional dan keterbatasan teknologi. Permasalahan utama yang dihadapi adalah rendahnya produktivitas akibat metode tradisional serta kerugian signifikan yang disebabkan oleh hama burung pemangsa. Sistem pengawasan yang ada saat ini tidak efektif karena hanya mengandalkan patroli manual secara bergiliran. Pengabdian masyarakat ini bertujuan untuk meningkatkan produktivitas dan efisiensi budidaya melalui penerapan sistem keamanan tambak berbasis kecerdasan buatan (AI). Metode pelaksanaan kegiatan meliputi perancangan sistem deteksi objek burung menggunakan algoritma YOLOv11 yang diintegrasikan pada mini PC. Mengingat lokasi tambak tidak terjangkau listrik, seluruh sistem ditenagai oleh panel surya. Pelaksanaan kegiatan mencakup sosialisasi mengenai teknologi AI dan energi terbarukan, instalasi infrastruktur fisik, serta pelatihan pengoperasian dan perawatan dasar kepada petani. Hasil kegiatan menunjukkan bahwa model AI yang dikembangkan berhasil mendeteksi objek burung dengan baik. Sistem telah berhasil dipasang dan diuji coba secara langsung di lokasi tambak, dimana percobaan tersebut mengonfirmasi bahwa objek burung dapat terdeteksi secara efektif. Penerapan teknologi ini diharapkan dapat menjadi solusi untuk menekan kerugian panen, meningkatkan efisiensi pengelolaan tambak, serta memperkuat kapasitas teknologi dan literasi digital masyarakat pesisir
Simulation of Harmonic Impact on Household Electrical Installations Due to the Use of Modern Electronic Equipment Mordhekai Hutabarat, Yosua; Rofii, Ahmad
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2542

Abstract

The advancement of digital technology has led to increased usage of modern electronic devices in households such as LED televisions, inverter air conditioners, and SMPS-based chargers which are technically classified as non-linear loads. These loads generate harmonics, i.e., waveform distortions of current and voltage due to frequency components other than 50 Hz, which degrade power quality. This study aims to analyze the characteristics and impact of harmonics on household electrical installations and to evaluate the effectiveness of harmonic filters in reducing such distortions. The methodology includes literature review and simulation of a 220 V single-phase residential power system using MATLAB/Simulink. Simulations were conducted under three conditions: linear load usage, non-linear load without filter, and non-linear load with passive LC harmonic filter. Results show that the Total Harmonic Distortion of current (THDi) significantly increased from approximately 0.5% under linear load to 60–70% under non-linear load without filtering, and then dropped to 22–28% with the implementation of LC filter. Power factor also improved from 0.77 to 0.93. The simulation confirms that harmonics severely affect energy efficiency and system stability, and that applying harmonic filters can be an effective mitigation strategy for modern household electrical systems.
Deploying an enterprise web Di Huawei Cloud Sebagai Bentuk Kontribusi Dalam Mendukung Literasi Teknologi di Lingkungan Sekolah. Jibril, Mohammad; Rofii, Ahmad
KAMI MENGABDI Vol 5, No 2 (2025): KAMI MENGABDI
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/km.v5i2.8356

Abstract

Teknologi informasi telah mengubah kebutuhan keterampilan di dunia akademik, khususnya di kalanganpelajar. Platform huawei deploy sekarang menjadi salah satu teknologi industri yang paling dikuasai.Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk mengajarkan siswa SMA Yappendacara mendeploy web server dengan menggunakan huawei cloud. Metode yang digunakan adalah kualitatifdan menggunakan pendekatan praktik dan diskusi. Hasilnya, sebagian peserta berhasil mendeploy web dandapat menjalankan web server. Kegiatan ini berhasil membuat siswa lebih memahami teknologi Huaweicloud.
Analysis Of Prediction Of Electrical Power Use Outside Peak Load Of Apartment Building X Using The Long Short Term Memory (LSTM) Method Nazara, Meiman Zaro; Rofii, Ahmad; Muliadi, Jemie
Journal of Applied Science and Advanced Engineering Vol. 4 No. 1 (2026): JASAE: March 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i1.80

Abstract

Energy efficiency in residential high-rise buildings has become a critical issue in modern power management, particularly during off-peak periods (LWBP), which contribute significantly to daily electricity consumption. However, most existing studies have primarily focused on peak load forecasting, leaving limited exploration of electricity usage during off-peak hours. This study proposes a daily electricity consumption forecasting model for the off-peak period using the Long Short-Term Memory (LSTM) architecture, designed to capture long-term dependencies in time-series data. The dataset consists of one year of historical daily electricity consumption records from Apartment X. Data preprocessing included Min-Max normalization, time windowing, and partitioning into 80% training and 20% testing sets. Hyperparameter optimization was performed using Optuna, while model performance was evaluated using RMSE, MAE, MSE, and R² metrics. Experimental results demonstrate that the LSTM model effectively captured the temporal patterns of LWBP electricity consumption, achieving RMSE = 0.140, MAE = 0.109, MSE = 0.020, and R² = 0.537. These findings highlight the potential of LSTM as a decision-support tool for building energy management systems, enabling optimization of electricity usage during non-peak hours. Furthermore, this work provides opportunities for future research by integrating hybrid deep learning architectures (e.g., CNN-LSTM or Bi-LSTM) and incorporating external factors such as temperature, weather conditions, and occupant behavior to improve predictive accuracy in real-world applications.
Prediction of Peak Load Electricity Consumption in Apartment X Building Using Deep Learning with GRU Method Yusuf, Yusuf; Rofii, Ahmad; Muliadi, Jemie
Journal of Applied Science and Advanced Engineering Vol. 4 No. 1 (2026): JASAE: March 2026
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v4i1.81

Abstract

This study presents a predictive framework for daily electricity consumption forecasting in Apartment X using a Recurrent Neural Network (RNN) model with the Gated Recurrent Unit (GRU) method. The dataset consists of daily electricity log sheets containing two main variables: Peak Load Time (WBP) and Off-Peak Load Time (LWBP). The preprocessing stage includes data cleaning, normalization using Min–Max Scaling, and sequence formation through a sliding window approach. The GRU architecture comprises two hidden layers, a dropout layer, and optimization using the Adam optimizer. The model’s performance was evaluated using MAE, RMSE, and R². The results show that the GRU model achieved an R² value of 0.623, indicating a good capability in capturing consumption patterns. This study contributes to energy forecasting studies in developing countries, emphasizing smart building energy management applications
LEGITIMASI PERKAWINAN BEDA AGAMA DALAM PERSPEKTIF HUKUM ISLAM DAN HUKUM POSITIF Nur Rukhama; Ahmad Rofii
INKLUSIF (JURNAL PENGKAJIAN PENELITIAN SYARIAH DAN ILMU HUKUM) Vol. 9 No. 1 (2024): Juni 2024
Publisher : UIN Siber Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/inklusif.v9i1.14100

Abstract

Perkawinan ialah sah menurut hukum agama dan kepercayaan sebagaimana yang telah diatur dalam UU No.1 Tahun 1974. Akan tetapi, melihat pada karektiristik masyarakat Indonesia yang plural dengan berbagai agama, mengakibatkan dapat terjadinya perkawinan beda agama. Pemberlakuan UU No. 23 Tahun 2006 menjadi sarana bagi para pelaku perkawinan beda agama agar perkawinan dapat dilangsungkan tanpa berdasarkan pada hukum agama. Permasalahan dalam penelitian ini yaitu mengenai pandangan hukum islam dan hukum posistif mengenai perkawinan beda agama di Indonesia serta pertimbangan hakim terkait legitimasi perkawinan beda agama di  Indonesia. Penelitian ini  menggunakan pendekatan secara empiris dan normatif. Pada teknik pengumpulan data dilakukan melaui wawancara serta studi kepustakaan. Hasil penelitian menunjukkan bahwa pandangan hukum islam melarang perkawinan beda agama. Berdasarkan hukum positif, pengaturan perkawinan beda agama hanya sebatas pada pencatatan perkawinan yang bersifat administratif. Akan tetapi pada prakteknya, hakim dapat menafsirkan lain terhadap bunyi suatu pasal. Sehingga  terhadap kasus yang sama, pertimbangan hukum hakim dapat berbeda antara hakim yang satu dengan hakim yang lain.
Co-Authors Abdus Salam, Abdus abriantoro, adji putra Adityo Nugroho, Adityo Alaydiah, Fifi Alfaris, Dean Anam, Syaeful Aryanti, Agustina Busono Soerowirdjo Da Conceição, Giovani Costa Almeida Diyajeng Luluk Karlina Edy Setyawan Fajri, Julfi Fauziah, Rifana gunawan, setia Hamdala, Marcia Rizky Hamzah Fansuri Herawati, Mila Herlina Muzanah Zain Huda, Rizki Ismail, Ibnu Aly James, Bobby Arvian Jefik Zulfikar Hafizd Jibril, Mohammad Khana, Rajes Kusuma, Ridho Alpha Lutfi Ramadhan, Muhammad Maulana, Rifkih Mohamad Rana Mordhekai Hutabarat, Yosua Mufit, Choirul Muhammad Sobirin Muhammad Zaki Mubarok Muhtadi Irvan, Muhtadi Muliadi, Jemie Nasruddin Nasruddin Nazara, Meiman Zaro Nur Rukhama Putri, EE Lailatul Putri, Zelanti Deviana Raditya, Muhammad Riza Rahmadani, Gilang Ramadhan, Muhammad Lutfi Rizaldi, Mario Rizky, M. Haikal Rudi Irawan Santoso, Kukuh Aris Sembiring, Silsila Jana Firdasa Setiawati, Suci Siswahyudianto Sugianto Sugianto Sunardi Sunardi Sundara, Denny Magni Tawakal, Ikbal Tiorivaldi Tiorivaldi Wahyu Caesarendra Wasman Wasman, Wasman Widya Cahyadi Wijonarko, Panji Yusuf Yusuf Zalianti, Nabila Reva Zalianti