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Introduction to types of motorized vehicles based on shape and model using convolutional neural network based on digital images Hurairah, Wahu Abi; Mmurtopo, Aang Alim; Fadilah, Nurul
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 2 (2024): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i2.225

Abstract

The process of classifying images of different vehicles is an interestingchallenge for research. The process of classifying different vehiclesis widely used in various things such as electronic ticketing, e-parking andother fields. One method often used in the classification process is the Convolutional Neural Network (CNN) method. The CNN method is widely used toperform the classification process because it has been tested and proven to beeffective in image processing and pattern recognition. By classifying differentvehicles, CNN can automatically extract features from image data and detect complexpatterns. The CNN method provides high efficiency and accuracy in classifyingvarious vehicles for various practical applications such astraffic management and license plate recognition systems. The studyperformed motor vehicle image recognition by determiningthe types of two-wheeled vehicles (motorcycles) and 4-wheeled vehicles (cars) using a combination of Otsu threshold and CNN method. From the results of the research, two types of vehicles can be well identified, showing the confidence level of the classification process. of.).
Implementation of Non Academic Learning for Students With Intellectual Disabilities Fadilah, Nurul; Sabillah, Zita Andini; Nurhamidah, Azkiya; Fitriyani, Fitriyani
Education Achievement: Journal of Science and Research Volume 5 Issue 1 March 2024
Publisher : Pusdikra-Publishing.com

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/jsr.v5i1.1759

Abstract

The primary goal of the learning process at SLBN Kabupaten Bekasi is to help develop the skills of students with special needs so that they do not feel different from their normal peers and can be accepted in society. This involves providing learning opportunities for children with Tunagrahita. The research conducted is a qualitative descriptive study aiming to present data in accordance with the realities observed in the field. The study involves the Vice Principal of SLBN Kabupaten Bekasi, skillful teachers, or Counseling Guidance teachers, and a mildly intellectually disabled Tunagrahita student. Data collection utilizes observation, interviews, and documentation. Observations at SLBN Kabupaten Bekasi indicate that the school implements a learning system for all students without discrimination. The guidance or teaching approach applied takes into consideration the characteristics and challenges faced by students, reflecting an effort to provide services tailored to their individual needs.
Peran Karang Taruna dalam Membentuk Sikap Anti Narkoba pada Pemuda di Desa Konang Kecamatan Galis Kabupaten Pamekasan Melalui Kegiatan Bola Volly Rabbianty, Eva Nikmatul; Jailani, Ahmad; Habibi, Nurrahmad Farqy; Fitriyatullaili, Fitriyatullaili; Aa’ilah, Iffatin; Handayani, Ira Dwi; Balqish, Oktavia Mely; Fadilah, Nurul; Sailamah, Ummas
NGABDIMAS UNIRA Vol 2, No 2 (2022): Pengabdian kepada Masyarakat (Ngabdimas)
Publisher : Universitas Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53712/ngu.v2i2.1919

Abstract

Sebagai kepemudaan Karang Taruna merupakan wadah pembinaan dan pengembangan serta pemberdayaan dalam upaya mengembangkan kegiatan ekonomis produktif dengan pendayagunaan semua potensi yang tersedia dilingkungan masyarakat. Pada kuliah pengabdian kepada masyarakat ini peneliti melakukan penelitian di Desa Konang Kecamatan Galis Kabupaten Pamekasan, dengan mengangkat tema “Peran Karang Taruna dalam Membentuk Sikap Anti Narkoba pada Pemuda di Desa Konang Kecamatan Galis Kabupaten Pamekasan Melalui Kegiatan Bola Volly”, yang ditujukan kepada para remaja agar mereka bisa lebih waspada terhadap narkoba dan dampak yang ditimbulkan jika mengkonsumsi barang haram tersebut. Adapun metode yang peneliti gunakan pada penelitian kali ini yaitu menggunakan metode deskriptif analisis dengan menggunakan pendekatan kualitatif. Pengumpulan data dilakukan dengan teknik pengamatan (observasi), wawancara, dan dokumentasi dengan narasumber pemuda Karang Taruna. Hasil dari penelitian ini menunjukkan bahwa Karang Taruna di Desa Konang memiliki proker yang aktif dibidang olahraga Bola Volly, dari proker yang mereka buat ini, membuat para pemuda di Desa Konang sendiri fokusnya teralihkan, dan cenderung selalu berfikiran positif. Sehingga mereka tidak mempunyai waktu luang untuk melakukan hal-hal yang memang dilarang oleh agama dan negara, seperti halnya mengkonsumsi narkoba.
Normative Analysis of Incest Sanctions in Mandailing Customary Law from an Islamic Criminal Law Perspective Fadilah, Nurul; Sukiati, Sukiati
AL-MANHAJ: Jurnal Hukum dan Pranata Sosial Islam Vol. 6 No. 1 (2024)
Publisher : Fakultas Syariah INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almanhaj.v6i1.5159

Abstract

Incestor incestuous sexual relations are acts that are prohibited by law, including customary law and Islamic law. The prohibition of incest in the legal context is categorized as a crime that damages the basic social order of society. This study aims to explore how sanctions are applied to incest perpetrators in the context of Mandailing customary law and Islamic criminal law. This research adopts a qualitative approach in its research methodology. Data was collected using interview techniques extracted from sources in the field. This study concludes that the legal sanction for perpetrators of incest according to Mandailing customary law is by expelling the perpetrator of the crime of incest from his village. According to Islamic criminal law, the sanction imposed on married perpetrators of incest crimes is the death penalty, and unmarried perpetrators are punished by flogging and exile. Compared to Islamic law, the sanctions for implementing customary law in Mandailing can be considered lighter. It is hoped that this study will provide an overview of the variations in decision-making regarding the crime of incest under different laws. This study is also expected to contribute to the development of legal discourse in society, especially customary law on the one hand and Islamic legal perspectives on the other.
Pengawasan Fungsi Keimigrasian dalam Upaya Meningkatkan Pengamanan Keamanan Terpadu di Perbatasan Entikong Mentari, Mentari; Fadilah, Nurul; Fazilah, Amira
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Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jrpi.v1i1.30659

Abstract

This article aims to analyze the basic functions of immigration in securing the area at the Entikong Border, so that we can see the work process in writing and what is happening in the field, especially at the Entikong Class II Immigration Office. The author uses a qualitative approach and descriptive method in describing the issues described. Data collection techniques were carried out in two ways, namely the interview process and literature study. Oversight of the Immigration function is explained through the Crucial Role of Immigration at the Entikong Border in establishing and improving integrated security in the Border area. The results of this study indicate that the performance of the Entikong Immigration Office through analysis of the Immigration function meet a fairly high standard of various forms of supervision and services can support the improvement of the quality and performance of the Entikong Immigration Office.
Application of fuzzy genetic system to predict the number of outpatient visits Surorejo, Sarif; Cahyo, Septian Dwi; Fadilah, Nurul; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.299

Abstract

Improving the management and use of resources in outpatient care is a challenge faced by health facilities in today's digital era. The inability to accurately predict patient flow can result in inadequacies in staff scheduling and effective space management. Therefore, this study aims to develop a predictive model of outpatient visits using the fuzzy system genetic method. The research methods used include the design of a combination of experimental methods, quantitative analysis, and model validation. Outpatient visit data is taken from a hospital and processed using the Fuzzy Genetics System which optimizes fuzzy rules with genetic algorithms. The results of the model implementation show accurate and adaptive predictions to variations and uncertainties in patient visiting patterns. Based on the results of the study, it can be concluded that the use of fuzzy system genetic methods in predicting outpatient visits can improve the operational efficiency of health facilities. The developed prediction model is able to provide predictions that are more accurate, adaptive, and responsive to the real needs of health facilities. With the adoption of this method, health facilities can optimize management and resources in outpatient health services. This research contributes significantly to the development of predictive models that are more efficient and applicable in the dynamic context of healthcare.
Application of genetic algorithm and backpropagation neural networks to predict Tegal City population Murtopo, Aang Alim; Nursahid, Wahyu; Fadilah, Nurul; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.308

Abstract

Use of Genetic Algorithms and Backpropagation Neural Networks for Population Prediction in Tegal City, which aims to create precise prediction models using advanced computational techniques. This research uses a quantitative approach that combines experimental methods, data analysis, and model validation to implement and test predictive models. By using genetic algorithms for parameter optimization and neural network backpropagation for training, the findings show that the model can accurately predict population numbers with minimal error and high determination coefficients. The implications of this study are significant for urban planning and public policy development due to the accuracy and effectiveness of the model in forecasting population growth based on historical data.
Visual Elements In The Arabic Lectural Book Ministery Of Religion: School Perspectives Fadilah, Nurul; Sukari, Afaf Binti; Arisy, Zyk Farhad
Journal of Arabic Language Studies and Teaching Vol. 4 No. 1 (2024): May 2024 / مايو ٢٠٢٤
Publisher : Universitas Islam Negeri Sunan Ampel Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/jalsat.2024.4.1.22-36

Abstract

Since 1968, Resources for Arabic education and learning have continued to advance, thanks to recent technological advancements. Junior high school Arabic textbooks have also been updated based on several factors, including correcting numerous errors and material organization to optimize use and circulation. Researchers discovered that this study, which revealed the visual aspects of the book released by Kemenag in 2020 from the perspectives of Sudarma and Erin M. McTigue, was conducted using exploratory qualitative research and descriptive analysis methodologies. Tables and 180 cartoon pictures or photos comprise most of the book's visual aspects; the remaining elements are design elements, including circles, blunt boxes, and other shapes. Readers may find it challenging to see some layout conditions because they are still random.
Nature-based Learning Management in Improving Children's Natural Intelligence Tobroni, Tobroni; Munaji, Munaji; Rozi, Fathor; Rofi'ah, Alifatur; Fadilah, Nurul
JURNAL AL-TANZIM Vol 6, No 4 (2022)
Publisher : Nurul Jadid University, Probolinggo, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.602 KB) | DOI: 10.33650/al-tanzim.v6i4.3899

Abstract

This study aims to analyze children's natural intelligence improvement through nature-based learning management at RA Al Khodijah Probolinggo. The research method used is a qualitative case study type. Researchers conducted observations, interviews with principals and teachers, and documentation. Data analysis in this study begins with data collection and reduction and continues with concluding. The results show that nature-based learning effectively increases the natural intelligence of early childhood through nature-based learning, which is an introduction to forms of love for nature or the surrounding environment, such as visiting the zoo, planting trees, and others. Nature-based learning uses nature as teaching material, a place to learn and learn objects, with the concept of a natural school. Students are expected to be able to learn with nature and be able to connect and apply the knowledge gained in real, everyday life.
Urgensi Zakat Dan Waqaf Dalam Pembangunan Ekonomi Syariah Kontemporer Fadilah, Nurul; Zen, Muhamad
Abdurrauf Law and Sharia Vol. 1 No. 2 (2024): Abdurrauf Law and Sharia
Publisher : Yayasan Abdurrauf Cendekia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70742/arlash.v1i2.104

Abstract

Abstract:. Zakat and waqf are two significant instruments in economic development. The purpose of this research is to describe zakat and waqf in the perspective of Islamic economics; its urgency; opportunities and innovations in the digital era as well as challenges and solutions. This research method uses descriptive qualitative method with library research data source. The results show that zakat and waqf are two important instruments in contemporary Islamic economics that not only function as an obligation of Muslims but also as a means to achieve social welfare and sustainable economic development. The essence of zakat waqf is economic empowerment; economic and social improvement; and human resource development. The opportunities and innovations of zakat in the digital era, by utilizing digital technology and good governance principles, are essential to increase effectiveness and transparency. This will encourage public participation and strengthen trust in zakat management institutions. Meanwhile, opportunities and innovations for waqf with digital platforms for raising waqf; cash waqf and investment in smart contracts and blockchain; cash waqf and investment; education and awareness through social media; mobile applications for donations; data analyst; digital waqf for startups. In addition, there are some challenges such as lack of public awareness of zakat and waqf; the concept of zakat and waqf is often misunderstood; changes in economic dynamics. While the solution is education and socialization Keywords: Zakat; Waqf; Sharia Economics Abstrak: Zakat dan wakaf merupakan dua instrumen yang signifikan dalam pembangunan  ekonomi. Tujuan dari penelitian ini adalah mendeskripsikan zakat dan wakaf dalam pespektif ekonomi syariah; urgensinya; peluang dan inovasi di era digital serta tantangan dan solusinya. Metode penelitian ini menggunakan metode deskriptif kualitatif dengan sumber data library research. Hasil Penelitian menunjukkan bahwa zakat dan wakaf merupakan dua instrumen yang penting dalam ekonomi syariah kontemporer yang tidak hanya berfungsi sebagai kewajiban umat muslim semata melainkan sebagai sarana untuk mencapai kesejahteraan sosial dan pembangunan ekonomi yang berkelanjutan. Ugensi zakat wakaf adalah pemberdayaan ekonomi; peningkatan ekonomi dan sosial; serta pengembangan sumber daya manusia. Peluang dan inovasi zakat diera digital, dengan memanfaatkan teknologi digital dan prinsip tata kelola yang baik, sangat penting untuk meningkatkan efektivitas dan transparansi. Hal ini akan mendorong partisipasi masyarakat dan memperkuat kepercayaan terhadap lembaga pengelola zakat. Sedangkan peluang dan inovasi terhadap wakaf dengan platform digital untuk penggalangan wakaf; wakaf uang dan investasi smart contracts dan blockchain; wakaf uang dan investasi; edukasi dan kesadaran melalui media sosial; aplikasi mobile untuk donasi; data analytist; wakaf digital untuk starup. Selain itu Adapun beberapa tantangannya kurangnya kesadaran Masyarakat terhadap zakat dan wakaf; konsep zakat dan wakaf seingkali disalah pahami; perubahan dinamika ekonomi. Sedangkan solusinya yaitu edukasi dan sosialisasi; peningkatan manajemen; inovasi model wakaf dan zakat; regulasi yang mendukung; transparan dan akuntabilitas.
Co-Authors Aang Alim Murtopo Aa’ilah, Iffatin A’yunin Nisaa, Luthfiana Abd, Adzan N.M.T. Abda Abda Abdul Haris Rosyidi Abdurrahman, Wildan Achmad Faqih Adhe Aryswan Adi Syahputra Purba Agus Hermanto Agus Riyanto Agustina Suparyati, Agustina Agustina, Dyah Ayu Ahmad Jailani, Ahmad Ainasalsabila, Main Alfi Akbar, Aji Ali Al Kahfi, Al Kahfi Alimuddin, Firman Alisukma, M. Taufan Amalia, Mutia AMRAH Ana Yuliati, Ana Andi Nurfaizah AP Andri Kurniawan ANDRI KURNIAWAN Andriani, Lutfi Tri Anjasari, Tika Annisa Fyona Antoni, Condra Apriani, Isna Arbianingsih Ardani, Baharudin Ardiwinata, Emmy Ariantini, Nisa Arisy, Zyk Farhad Ariyanti, Desi Asnita Harahap, Ani Ayu Catherine, Liany Azis, Abd Badrut Tamam Bagus Nofrendi, Erian Rahayu Adi Balqis , Ratu Balqish, Oktavia Mely Boy Rangga, Boy Budhi Kristianto Burhanudin Harahap Cahyo, Septian Dwi Chaerani, Destry Nayla Chairani, Sarah Chairil, Augustin Mustika Dahlina, Ulinuha Danang Cahyagi Dayulia, Hilmayana Irma Desi Ratna Sari, Desi Ratna Deswita Deswita Dewi, Kartika Sandra Dhaifullah, M. Naufal Dharmawan, Wawan Dian Gegana, Theofillus Dinda, Annisa Permata Diru, Achmad Errie Dudi Gunawan, Dudi Efendi, Riski Eka Mutia Lubis Eko Setiawan Erwando, Erwando Euis Heryati Eva Nikmatul Rabbianty, Eva Nikmatul fadilah, Nurulfadilah Fadli Firdaus Fajrianti, Isnaini Fajrina, Shofiah Fatmawati, Fatmawati Fazilah, Amira Febriyanti, Sekar Feby, Feby Fedia Restu Feryana, Ryan Kurniawan Findiani, Firnanda Firmansyah, Muchamad Aries Fitri Nur Latifah Fitriani, Iyang Maisi Fitrianti, Linda Fitriyani Fitriyani Fitriyatullaili, Fitriyatullaili Gaol, Rotua Astrina Lumban Ginting, Nur Amina Ginting, Zahwa Salsabila Gunawan Gunawan, Muhammad Randa Gunawan, Rifa Ardhana Gusniati, Yeisi H., Bangbang Habibi, Nurrahmad Farqy Handayani, Dei Handayani, Ira Dwi Hanifah, Shofi Hannah, Azifatul Harahap, Lutfia Nadiroha Harmadani, Dini Hasan Hasan Hasnah Havwini, Tiam Hendra Saputra Herdyanti, Tri Hery Widijanto Heryawan, Wawan Hodairiyah, Hodairiyah Huddiansyah, Huddiansyah Hudifaturrohmah, Hudifaturrohmah Hurairah, Wahu Abi Huriati, Huriati Husna, Fadhillatus Husni Mubarok Ida Ayu Putu Sri Widnyani Ifnu R, Annisa H Ila Israwaty Ilham safar Indah Indah indah mukarromah Indriani, Triana Putri intan Intan Afdillah, Dewi Ira Mulya Sari Ira Restu Kurnia Ira, Nurmaya Putri iwan kuswandi Iwan Zulfikar Jati, Dian Rahayu Jhon Hericson Purba Juang Gema Kartika Jushermi Jushermi, Jushermi Kamelia, Siera Aufa Kanza, Faiha Putri Kholidi, Ahmad Isfan Kholilur Rahman, Kholilur Kirana, Desi Nidya Kristian, Rolando Kurniati Zainuddin, Kurniati Kusuma, Shalzabilla Indrias Lailatul Muniroh Lapingga, Dwi Latihifa, Sania Lilik Hidayati, Lilik Luh Putu Ratna Sundari Lutfiaturrahma Alhaq , Dinda M. Arbain M. Dahlan M. Ikhwan Maulana Haeruddin M. Yakub Madrianah Mahmudi, Ilham Mahyuni, Siti Mangunsong, Irvan Mardawani, Mardawani Maulana, Ibnu Maulina, Rini mawar sari Meifira, Athalia Mellinsy, Eva Mentari Mentari, Mentari Meswara, Firman Aly Mmurtopo, Aang Alim Mohammad Al Farabi, Mohammad Mufidah, Hilmy Mugrib, Nuz Chairul Muhamad Zen Muhammad Alwi Muhammad Andi Nova Muhammad Firdaus Muhammad Firdaus Muhammad Misbahudholam AR Muhammad Munir muhammad rizky, muhammad Muhtadin, Nurul Munawarah Munawarah, Munawarah Musafik, Mu'in Musfar, T. Firli Musfar Mustofa, Aan Najib Muthahharah Mutiarasari, Nurul Risti Nadiroh, Ainin Nailussa’adah, Laila Nefi Darmayanti Nidia Yuniarsih Nilianti, Nilianti Ninda Ardiani NUR KOMALASARI Nurdin, Muh Nur Hidayat Nurdin, Muh. Nur Hidayat Nurhamidah, Azkiya Nurhidayah Nurkholella, Putri Nurman Nurrizky, Anggif Agistha Nursahid, Wahyu Nurul Majid, Khildatus Sakinah Nurwahida Alimuddin Nurwahidah Alimuddin Octaviani, Nindi Aulia Oktariana, Tiara Insanul Oktaviani, Yeyen Oktavianty, Neni Oom Komala Paramitha, Rizqi Ratna Pellu, Musa Piara, Muhrajan Pratama, Reyza Pratomo, Bina Purwadi , Hari Puspita, Putri Ananda Putra, Irwan Putri Meylita, Anggi Putri Putri, Putri Putri, Taszkia Aulia Qurrotu Aini, Atikah Qurrotu’aini, Nafia Ilhama Rahayu Safitri, Mahaya Rahmadania, Natasya Nur Rahmania, Fitri Rajo Hasim Lubis Ramadhani, Yanti Rial, Sri Wahyuni Rianda, Rianda Ridha, Nikmatur Riesnawa, Yurdien Dellan Ritonga, Fatima Sari Rizky, Miftakhul Rochman, Auliya Rofi'ah, Alifatur Rozi, Fathor Sa’adah, Nihayatus Sabillah, Zita Andini Safira, Indah Sailamah, Ummas Salim, Anisa Salmi, Wanfahrina Sapphira, Salwa Tuhfah Narda Sapto Wiratno Satoto Saputra, Galu Sari, Artika Sari, Cindy Eka Puspita Sari, Juliana Sari, Maya Inayati Sarif Surorejo SATRIA BAYU AJI, SATRIA BAYU Satriya Bayu Aji, Satriya Bayu Sembiring, Grace Kania Violentina Setiyawan, Hendhi Setyawati, Novita Siahaan, Arta Uly Sidqon, Mochammad Sifah, Dzul Fattah Simanjuntak, Jefri Kemri Rodi Samuel Siregar, Mawar Irfa Hani Siti Arifah Siti Khabibah Siti Nur Azizah, Siti Nur Siti Rahmi Sitio, Apri Ananta Soedjarwo, Moedji Sopyan, Azkiya Nurhamidah Sovayunanto, Riski Sri Wahyuni Sri Yulianto Joko Prasetyo Steven Sudirman Sudirman Sugeng Santoso Sukari, Afaf Binti Sukiati Sukiati Sumiati Sumiati Suparno Suparno Suratman, Gerend Erlina Ayu Putri Suryadi S, Ahmad Suryaningsih, Liana Sutoyo, Patricia Angelie Sutrisno, Hendri Suyudi Suyudi, Suyudi Syahputri, Susi Syaiful Syakif, Zahwa Aulia Syamsiar, Syamsiar Syamzan Syukur Syanhabi, Aan Syarifah Ema Rahmaniah Syarmiati, Syarmiati Syifa, Naura Tamrin, Nabila Tegar Maulana, Tegar Tian Havwini Tobroni Tobroni Toyyib, Moh Trizuwani , Siti Tussadiah, Nurlaila Tuttoyyibah, Nihayah Umami, Muhammad Trisna USWATUN HASANAH Uswatun Hasanah Veithzal Rivai Zainal Verawati, Ade Vorfi Lama, Alma wahyuni, islah Weriantoni, Weriantoni Widiatie, Wiwik Widya Ningrum Palureng, Rurika Wijayanti , Rica Winda Winda Yudha Ardiansyah, Muhammad YUNI SRI RAHAYU Yurizka Melia Sari Zulkarnain Zulkarnain Zulkarnain, Shamarayunda