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All Journal Diponegoro Journal of Accounting JOURNAL OF QUR'AN AND HADITH STUDIES Jurnal EECCIS PUJANGGA: Jurnal Bahasa dan Sastra Dentino: Jurnal Kedokteran Gigi INTEGER: Journal of Information Technology JURNAL PENDIDIKAN TAMBUSAI Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Budimas : Jurnal Pengabdian Masyarakat Journal of Computer, Electronic, and Telecommunication (COMPLETE) Journal of Applied Smart Electrical Network and System (JASENS) JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Buguh: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Program Pengabdian Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Sammajiva: Jurnal Penelitian Bisnis dan Manajemen MARAS : Jurnal Penelitian Multidisplin At-Tadris: Journal of Islamic Education
Aulia Rahma Annisa
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Rancang Bangun Sistem Pelacak Posisi Human Indoor Location menggunakan ESP-Now Rachmawan, Ega Adi; Lilik Subiyanto; Adianto; Mat Syaiin; Aulia Rahma Annisa; Mustika Kurnia Mayangsari
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1150

Abstract

This research aims to develop an Internet of Things (IoT)-based employee attendance and position tracking system using the ESP-NOW protocol integrated with a web database. This system is designed to automatically record attendance and monitor the position of employees in real-time using the Trilateration method with the Exponential Path Loss model. Data from the ESP32 device is sent to the MySQL database via the MQTT protocol and displayed in an easily accessible website interface. The results show that the system can efficiently recap daily, weekly, and monthly attendance data, as well as display the position history of employees and guests with sufficient accuracy. With the implementation of this system, the efficiency and accuracy of attendance management and employee monitoring at Sutami Hydroelectric Power Plant has increased significantly.
A Simple Modeling of MPPT-based ANN for Photovoltaic System Sholikhah, Evi Nafiatus; Aulia Rahma Annisa; Muhammad Rizani Rusli; Mentari Putri Jati
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 1 (2025): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i1.684

Abstract

This research describes a simple modeling technique for Maximum Power Point Tracking based on Artificial Neural Network (MPPT-based ANN) for photovoltaic (PV) systems. The proposed ANN model utilizes a feed-forward backpropagation architecture. The PV system was developed and tested in a simulation environment under uniform irradiation levels of 1000 W/m², 800 W/m², and 600 W/m², and rapidly varying irradiation changes. The simulation results demonstrate that the MPPT-based ANN accurately tracks the MPP, achieving stable power outputs of 98.36 W, 79 W, and 57.45 W, respectively. Although the system experiences initial transient oscillations during the tracking phase, it stabilizes within 80 milliseconds, showcasing rapid convergence and high steady-state accuracy. Under dynamic conditions, the MPPT-based ANN adapts effectively to fast-changing irradiation, restarting the algorithm to track and maintain the system at the updated MPP accurately. These results highlight the reliability, adaptability, and suitability of the MPPT-based ANN for real-time applications in dynamic environments. Nonetheless, further improvements to the ANN model are suggested to minimize transient oscillations and enhance overall performance.
Pengaturan Traksi Berbasis Neuro-Fuzzy pada Simulator Hybrid Electric Vehicle (HEV) Annisa, Aulia Rahma
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 14 No. 3 (2020)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v14i3.670

Abstract

The electric car is a solution designed as a zero-emission vehicle which is an alternative to reducing air pollution. There are various types of electric cars, this research focuses more on Hybrid Electric Vehicle (HEV). HEV is a vehicle that has at least two different energy sources. The most common combination today is the Internal Combution Engine (ICE) and an electric battery. HEV uses ICE with a smaller capacity than conventional vehicles, this results in more efficient fuel use. In HEV, there are several problems, including the response from ICE which is less than optimal when there is an increase in speed. ICE as the prime mover has a smaller capacity than conventional vehicles because it is assisted by the performance of the DC motor. When ICE is unable to maintain speed, the DC motor will help provide power. Therefore, it is necessary to regulate traction on a DC motor to help ICE achieve the desired speed, especially when there is an increase in speed. This study uses a neuro-fuzzy control method which has the advantage of being able to adapt to changes in parameters in the system. HEV itself requires a fast response, therefore, a predictive controller is used in order to predict the future torque value
Combination of HSV and Lacunarity for Feature Extraction on Butterfly Dataset Rahayu, Putri Nur; Annisa, Aulia Rahma; Ardiana, Mirza; Andika, Yudi
Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Vol 5 No 1 (2025): JTECS Januari 2025
Publisher : FAKULTAS TEKNIK UNIVERSITAS ISLAM KADIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32503/jtecs.v5i1.6677

Abstract

Ekstraksi fitur pada kupu-kupu menggunakan HSV dan lacunarity. Fungsi dari ekstraksi fitur digunakan untuk membedaakan fitur dataset kupu-kupu. Pada penelitian ini, 84 dataset digunakan dengan 5 macam spesies. Tahap pertama penelitian ini yaitu extraksi fitur menggunakan HSV, fungsi dari ekstraksi HSV digunakan untuk ekstraksi warna pada kupu-kupu, step kedua extraksi fitur menggunakan lacunarity, lacunarity digunakan untuk ekstraksi tekstur pada kupu-kupu. Tahap terakhir yaitu klasifikasi menggunakan MLP, fungsi metode MLP digunakan untuk klasifikasi spesies daru kupu-kupu. Hasil dari metode ini menghasilkan 62,55%.
Klasifikasi profil roasting biji kopi menggunakan neural network Faturrahman, Bima; Endrasmono, Joko; Ardiana, Mirza; Khumaidi, Agus; Putra, Zindhu Maulana Ahmad; Annisa, Aulia Rahma
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 3 (2025): Jurnal Elkolind Vol 12 No 3 (September 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i3.7237

Abstract

Penelitian ini bertujuan untuk mengembangkan model klasifikasi tingkat kematangan biji kopi menggunakan neural network dengan algoritma backpropagation. Tingkat kematangan biji kopi dibagi ke dalam tiga kategori, yaitu light roast, medium roast, dan dark roast, dengan parameter input berupa suhu maksimum dan durasi proses penyangraian. Data yang digunakan diperoleh dari eksperimen yang dilakukan dengan mesin sangrai otomatis. Model ini dioptimalkan menggunakan algoritma Adam dan dievaluasi menggunakan fungsi loss Mean Squared Error (MSE) dan Sum of Squared Error (SSE). Untuk menilai akurasi klasifikasi, evaluasi kinerja dilakukan dengan menggunakan confusion matrix. Hasil penelitian menunjukkan bahwa model yang dikembangkan mampu mengklasifikasikan tingkat kematangan biji kopi dengan akurasi yang sangat tinggi, mencapai 96,67% pada data uji. Dalam penelitian ini, variasi learning rate dan jumlah hidden unit juga diuji untuk mencari konfigurasi yang optimal. Hasilnya menunjukkan bahwa kombinasi learning rate sebesar 0,01 dan jumlah hidden unit sebanyak 15 memberikan performa terbaik dengan kestabilan dan efisiensi pelatihan yang sangat baik.
Penerapan Harris Corner Detection dan YOLOv5 pada Kamera Stereo Vision untuk Estimasi Jarak Robot Sepak Bola Beroda KRSBI-B Adi Rahmad Ramadhan; Khumaidi, Agus; Mustika Kurnia Mayangsari; Mat Syai’in; Imam Sutrisno; Aulia Rahma Annisa
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 1 (2025): Vol 12 No 1 (Mei 2025): Jurnal Elkolind Vol 12 No 1 (Mei 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i1.7254

Abstract

This research enhances the performance of a wheeled soccer robot in the RoboCup Middle Size League (KRSBI-B) by integrating Stereo Vision cameras, YOLOv5, and Harris Corner Detection for precise distance estimation and object detection. The objective is to improve the robot's ability to accurately recognize and measure the distance of objects, particularly the ball and opposing robots. Using image processing, the system significantly enhances real-time object detection, improving decision-making during the match. The YOLOv5 algorithm, trained with 4,000 labeled images, achieved impressive accuracy with confidence levels up to 0.99 for ball detection at 250 cm. Results show strong correlations between high-confidence detections and accurate distance estimations, enabling effective responses to dynamic match situations. This system provides a competitive edge, improving responsiveness, adaptability, and gameplay strategies, supporting its application in real-world robotic competitions.
Analisis Sistem Kendali Anti-Sway pada Gantry Crane Menggunakan Linear Quadratic Regulator (LQR) Dan PID Naufal Hibban, Naufal Hibban; Mat Syai’in; Aulia Rahma Annisa; Imam Sutrisno; Didik Sukoco; Ii Munadhif
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 2 (2025): Jurnal Elkolind Vol 12 No 2 (Juli 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i2.7265

Abstract

Penelitian ini membandingkan efektivitas metode kendali Proportional-Integral-Derivative (PID) dan Linear Quadratic Regulator (LQR) dalam meredam ayunan beban (sway) pada sistem gantry crane dua dimensi. Dengan simulasi MATLAB menggunakan variasi beban 0,1 hingga 1,3 kg, hasil menunjukkan bahwa kendali LQR mampu menjaga kestabilan posisi troli dengan waktu naik (rise time) antara 1,56 hingga 1,96 detik dan overshoot rendah sekitar 2,66%–3,24%, serta berhasil mengurangi overshoot ayunan beban dari 37,41% menjadi 28,18%. Sebaliknya, kendali PID meskipun menunjukkan rise time dan overshoot lebih kecil secara numerik, mengalami ketidakstabilan pada grafik respons posisi yang mengindikasikan divergensi sistem secara fisik. Temuan ini menegaskan keunggulan LQR dalam mengendalikan gantry crane dengan dinamika kompleks dan variasi beban, sehingga lebih cocok untuk aplikasi industri yang menuntut kestabilan dan keamanan tinggi.
Legalitas Implementasi Asas Poligami dalam Perkawinan Menurut Undang-Undang Perkawinan Rahma, Annisa Aulia; Agustina, Lia; Azzahra, Rika Afifah; Arroyyan, Muhammad Ahza; Narutomo, Priaji Oka; Alfionita, Sherly; Nawaidah, Yasmin Sobikhoh; Reyhan, Maulana Arfidata
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artikel ilmiah ini bertujuan untuk menganalisis legalitas implementasi asas poligami di negara Indonesia yang masih banyak sekali terjadi kesalahan dalam memaknai arti asas poligami dan penerapannya di dalam perkawinan. Analisis artikel ilmiah ini menggunakan metode yuridis normatif yang menitikberatkan kepada penelitian kepustakaan melalui sumber-sumber literatur yang terdahulu untuk mengkaji lebih dalam terkait permasalahan yang diusung dalam artikel ilmiah ini. Hasil analisis menunjukkan bahwasannya poligami diperkenalkan didalam situasi tertentu yang mendesak ataupun ketentuan-ketentuan lan yang berdasar kepada undang-undang.
The Concept of Character Education According to the Qur'an and Hadith Qualitative Analysis of Previous Studies Khodijah, Siti; Imama, Isrofeni; Tusyahri, Alfiah; Rahma, Annisa Aulia; Permatasari, Mia
JOURNAL OF QUR'AN AND HADITH STUDIES Vol. 13 No. 2 (2024)
Publisher : UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/quhas.v13i2.39789

Abstract

 Abstract: This study analyzes the concept of character education according to the Qur'an and Hadith through qualitative studies of various previous studies. Character education is a crucial aspect in shaping individuals who have moral integrity and social responsibility. In the context of Islamic education, the Qur'an and Hadith are the main sources that establish the values and principles of good character formation. The Qur'an provides basic guidance, while the Hadith provides concrete examples of these teachings. This study explores the values and methods of character education contained in the Qur'an and Hadith, as well as their relevance in the context of formal and informal education. The findings of the research are expected to make a significant contribution to the understanding and implementation of character education rooted in Islamic values, with the ultimate goal of creating Muslim individuals with noble character and an ethical society.
PEMANFAATAN TENAGA SURYA DALAM PEMBUATAN SOLAR CHARGING STATION SEBAGAI PENUNJANG FASILITAS UMUM DI SEKOLAH AL ISLAH SURABAYA Annisa, Aulia Rahma; Briantoro, Hendy; Iryani, Nanda; Alamsyah, Gempar
Abdimas Galuh Vol 5, No 2 (2023): September 2023
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v5i2.12112

Abstract

Telepon seluler sudah menjadi kebutuhan pokok belakangan ini. Kegiatan belajar, bekerja, pencarian informasi, interaksi sosial, dan hiburan telah banyak dilakukan menggunakan alat ini. Penggunaan ponsel yang hampir setiap hari digunakan membuat kebutuhan akan sumber daya baterai menjadi tinggi. Siswa, guru, dan tenaga kependidikan di lingkungan sekolah merupakan salah satu segmen masyarakat yang menggunakan ponsel. Berdasarkan kenyataan bahwa tempat yang memiliki sumber listrik untuk pengisian ponsel di sekolah sangatlah terbatas. Oleh sebab itu, tim dosen Program Studi Teknik Komputer memiliki rencana merancang sistem tepat guna berupa solar charging station yang direncanakan dapat menyediakan tempat pengisian daya baterai dengan memanfaatkan tenaga surya sebagai sumber listriknya. Diharapkan dengan adanya produk ini membantu warga sekolah untuk melakukan pengisian baterai ponsel yang dimiliki. Selain itu akan dilaksanakan edukasi wawasan serta perkembangan ilmu pengetahuan terkait pemanfaatan energi baru terbarukan bagi siswa sekolah Al Islah Surabaya.
Co-Authors Adi Rahmad Ramadhan Adianto Agung Purwanto Agung Wijoyo Agus Khumaidi Ahmad Suriansyah Aila, Nurul Al-Muhsi, Muhammad Hafizd Alamsyah, Gempar Alfionita, Sherly Alifya, Yafi Rizal Alkayyisa, Frida Amaliah, Rizky Andika Dwi Saputra Anggraini, Virliza Shafa Ardhon Rakhmadi, Ardhon Ardiana, Mirza Arroyyan, Muhammad Ahza Azzahra, Rika Afifah Batuabara, Indah Sakinah Brian Juanda Saragih Butarbutar, Rini Andriani Cinantya, Celia Citra Santikasari Delia Permata Sari Dewi Puspitasari Didik Sukoco Dimas Ferdianyah Dwianto, Fajar Endrasmono, Joko Faturrahman, Bima Fauzia, Gefira Afra Firmansyah, Muhammad Rizal Fitriyah Fitriyah Hafizh, Faishal Nur Hendy Briantoro Ii Munadhif Imam Ghozali Imam Sutrisno Imama, Isrofeni Intan Munika Sari Iryani, Nanda Lia Agustina, Lia Lilik Subiyanto M. Affan S.A Maharani Laillyza Apriasari Mat Syaiin Mat Syai’in Maulida, Ayya Mentari Putri Jati Mohammad Yanuar Hariyawan Mustika Kurnia Mayangsari Narutomo, Priaji Oka Nasution, Rasina Padeni Naufal Hibban, Naufal Hibban Nawaidah, Yasmin Sobikhoh Pangestu Widodo, Pangestu Permatasari, Mia Putra, Zindhu Maulana Ahmad Putri, Dinda Vidyana Dwi Rachmawan, Ega Adi Rahayu, Putri Nur Ramadhani, Bumi Reyhan, Maulana Arfidata Rusli, Muhammad Rizani Sholikhah, Evi Nafiatus Siti Khodijah Suswanta Triananda Kamalia Tusyahri, Alfiah Ucu Cahyana Wahyuning A, Charisma Yogi Wildan, Giazmara Galih Yosia Zepanya Damanik Yudi Andika Zakariya, Naufal Zhafirah Zahrah