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All Journal Al-Manahij: Jurnal Kajian Hukum Islam BERKALA SAINSTEK JOURNAL OF INDONESIAN ISLAM MAHKAMAH: Jurnal Kajian Hukum Islam Inklusif: Jurnal Pengkajian Penelitian Syariah dan Ilmu Hukum 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
Ahmad Rofii
Institut Agama Islam Negeri (IAIN) Syekh Nurjati - Cirebon
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Construction of the Legal Position of the Religious Affairs Office in Handling Early Marriage from the Perspective of Maqasid Usrah Jamaluddin 'Atiyyah Ismail, Ibnu Aly; Sugianto, Sugianto; Rofii, Ahmad
INKLUSIF (JURNAL PENGKAJIAN PENELITIAN EKONOMI DAN HUKUM ISLAM) Vol 10, No 1 (2025): June 2025
Publisher : UIN Siber Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/inklusif.v10i1.20142

Abstract

Early marriage is often motivated by economic, educational, and cultural factors. The Religious Affairs Office's efforts to prevent early marriage are less effective due to differences in perspectives between religion and the state. This study examines the legal position of the Religious Affairs Office in addressing early marriage in Sokaraja District and explores the views of maqashid al-usrah in preventing early marriage. Using a normative descriptive approach, the study found that early marriages in Sokaraja District were 29 cases in 2020, 23 cases in 2021, 40 cases in 2022, and 13 cases in 2023, representing a 67% decrease. The Sokaraja District Religious Affairs Office has socialized Law Number 16 of 2019 concerning marriage, which sets the ideal age limit for marriage at 19 years. This law considers legal psychological, biological, and other aspects. From a maqashid al-usrah perspective, the aim is to protect children's rights, maintain family structure, and support community welfare. The Office of Religious Affairs' efforts to prevent early marriage align with these goals. By socializing the marriage law and promoting awareness, the office contributes to achieving the objectives of maqashid al-usrah.
Politik Kebangsaan Nahdlatul Ulama Perspektif Pemikiran KH. Abdul Muchith Muzadi Rofii, Ahmad
Al-Daulah: Jurnal Hukum dan Perundangan Islam Vol. 4 No. 02 (2014): Oktober 2014
Publisher : Prodi Hukum Tata Negara Fakultas Syariah dan Hukum UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.023 KB) | DOI: 10.15642/ad.2014.4.02.388-409

Abstract

Abstract: This article discusses the KH. Abdul Muchith Muzadis point of view on Nahdlatul Ulama and the national political of NU. NU as a religious organizations based on the theory of Ahl wal Jama'ah, having tenets include: tawassut (moderate), tawazun, tasamuh, and commanding the good and forbidding the evil; which has always been the political basis of nationality NU in Indonesian politics. In KH. Abdul Muchith Muzadis idea, nationality politics is defined as our responsibility in maintaining the integrity of the Unitary Republic of Indonesia (NKRI) is universally from groups separastisme that lead to disunity, disintegration and destruction, in the commitments, namely Pancasila. So, national politics of NU in the perspective of KH Muchith Muzadi is the appreciation of the national consensus and the embodiment of devotion NU in upholding the Unitary Republic of Indonesia (NKRI) as something that was final. Keywords: Politics, nationality, NU, and Abdul Muchith Muzadi
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.
Tinjauan Komprehensif Jaringan Syaraf Tiruan RNN: Karakteristik, dan Aplikasi dalam Peramalan Energi Bangunan Gedung Rofii, Ahmad; Putri, EE Lailatul
Jurnal Kajian Teknik Elektro Vol 10, No 2 (2025): JKTE VOL 10 NO 2 (SEPTEMBER 2025)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v10i2.8645

Abstract

The advancement of Artificial Intelligence (AI) and Machine Learning (ML) has introduced various approaches to processing time series data, particularly for energy consumption forecasting. One of the most prominent architectures is the Recurrent Neural Network (RNN) and its variants, such as Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional LSTM (BiLSTM), which are designed to capture temporal dependencies in sequential data. This study examines the development, characteristics, and performance of RNN and its variants across various domains, with a specific focus on building energy consumption forecasting. The reviewed research spans from 1990 to 2024 and was selected based on relevance, citation count, and novelty of contribution. The findings indicate that LSTM and GRU generally outperform standard RNNs in handling long-term dependencies, while BiLSTM is effective for complex data patterns. However, challenges such as the need for high-quality data, computational complexity, model interpretability, and integration into Energy Management Systems (EMS) remain significant barriers. This study reaffirms the importance of RNN and its variants in energy prediction systems while opening opportunities for further research on hybrid architectures and the development of more user-friendly interfaces.
Analysis Of Prediction Of Electrical Power Use Outside Peak Load Of Apartment Building X Using The Long Short Term Memory (LSTM) Method: A Case Study of Apartment Building X 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
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 Mordhekai Hutabarat, Yosua Mufit, Choirul Muhammad Sobirin Muhammad Zaki Mubarok Muhtadi Irvan, Muhtadi Muliadi, Jemie Nasruddin Nasruddin Nazara, Meiman Zaro Putri, EE Lailatul Putri, Zelanti Deviana Raditya, Muhammad Riza Rahmadani, Gilang Ramadhan, Muhammad Lutfi Rana, Mohamad Rizaldi, Mario Rizky, M. Haikal Rudi Irawan Santoso, Kukuh Aris Sembiring, Silsila Jana Firdasa Setiawati, Suci 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