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All Journal JMPM: Jurnal Matematika dan Pendidikan Matematika Building of Informatics, Technology and Science Journal of Fundamental Mathematics and Applications (JFMA) Hortatori : Jurnal Pendidikan Bahasa dan Sastra Indonesia International Journal of Information Technology and Computer Science Applications (IJITCSA) Journal of Computer Science Contributions (Jucosco)
Ramdhania, Khairunnisa Fadhilla
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mathematics

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CONSTRUCTION OF FUNDAMENTAL THEOREMS OF FRACTIONAL CALCULUS Ramdhania, Khairunnisa Fadhilla; Sari, Rafika; Khalida, Rakhmi; Pratama, Aldira Ryan; Lestari, Nur’aini Puji
Journal of Fundamental Mathematics and Applications (JFMA) Vol 7, No 1 (2024)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v7i1.19256

Abstract

This paper discusses the theory of derivatives and integrals in the form of fractions with a particular order initiated by Lioville. Specifically, regarding the correlation between fractional derivatives and integrals, by examining definitions, determining the kernel function, and applying them to several examples, so a general formula will be obtained regarding the relationship between the two. This formula is the product of the fractional derivative of an order of a polynomial function of m-degree which is equal to the (n+1) th derivative of the related order fractional integral of a polynomial function of -degree that the truth is proved by using Mathematical Induction.
Manipulasi Gambar dengan Transfer Gaya Menggunakan Convolutional Neural Network Khalida, Rakhmi; Ramdhania, Khairunnisa Fadhilla
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (781.308 KB) | DOI: 10.47065/bits.v3i3.1049

Abstract

Recently computers have been able to produce photographs that allow users to compose selfies with van Gogh paintings. Inspired by the power of convolutional neural networks (CNN), he first learned how to use CNN to reproduce famous painting styles combined with self-portrait images. The method used is called a neural network transfer. However, early versions of neural networks had optimization problems, requiring hundreds or thousands of iterations to transfer forces combined with a single image. To overcome this in-efficiency, researchers developed the CNS-style PerStyle-Per-Model (PSPM) transfer method. The development of force transfer using a deep neural network is also called NST by training the VGG-16 model to change any image in one feed, foward propagation. A trained model can adjust to any drawing mode with just one iteration instead of thousands of iterations over the network and to get the most objective possible style of transfer
Pengaruh Penggunaan Teknik Wawancara Terhadap Kemampuan Menulis Karangan Argumentasi Siswa SMP Negeri 3 Karawang Kuning, Layung; Setiawati, Siti; Ramdhania, Khairunnisa Fadhilla
Hortatori : Jurnal Pendidikan Bahasa dan Sastra Indonesia Vol 8, No 1 (2024): Hortatori: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jh.v8i1.2154

Abstract

This research aims to determine how much influence the interview technique has on the ability to write argumentation essays for grade 2 students of SMP Negeri 3 Karawang The research method used is an experimental method with control design.The sample was randomly taken from the affordable population of second grade students of SMP Negeri 3 Karawang for the 2022/2023 school year. \ The analytical techniques used in this study are normality test, homogeneity test and hypothesis testing with t-test at significance level a 0.05. Scores on experimental class  scores reached 63 for the lowest grade and 90 for the highest grade with an average score of 78.43. Meanwhile, in the control class, 47 for the lowest value, 79 for the highest value and  62.63 for the average value After analysis for the normality test, the results of the control class calculated L of 0.0996 and in the experimental class of 0.148 smaller than the table L with n = 30, that is, 0.161. The results of the study with the t-test showed t count of 3.78 and t table with n-30 and significance level a = 0.05 obtained a price of 2.04 because t count is greater than t table (3.78 > 2.04), then Ho was rejected.  Thismeans that the interview technique in this study affects the ability to write argumentation essays for students of SMP Negeri 3 Karawang.
Implementasi Metode Naïve Bayes dan Support Vector Machine (SVM) untuk Menganalisis Sentimen Pengguna Twitter terhadap Transjakarta Ramdhania, Khairunnisa Fadhilla; Hidayat, Dian Fitrianto; Salkiawati, Ratna
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 9 No 1 (2024): March - August 2024
Publisher : Prodi Pendidikan Matematika Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v9i1.4494

Abstract

Twitter adalah media sosial populer di Indonesia yang digunakan untuk mengungkapkan perasaan dan menyampaikan opini. Transjakarta adalah transportasi umum dengan  jumlah penumpang harian terbanyak. Pengguna Transjakarta kerap berbagi pengalaman baik atau buruk, serta opini di Twitter. Beberapa masalah pada Transjakarta yang dibahas di Twitter yaitu terkait penutupan halte sementaradan kasus asusila yang dialami oleh pengguna Transjakarta. Artikel ini menganalisis opini pengguna Twitter tentang Transjakarta menggunakan metode Support Vector Machine (SVM) dan  Naïve Bayes. Lexicon based digunakan untuk pemberian label pada 6736 tweet. Hasil analisis menunjukkan 2228 tweet positif dan 2821 tweet negative.  Metode Support Vector Machine mencapai akurasi 84.95%, presisi 83%, recall 83% dan f1-score 83%, sedangkan Naïve Bayes mencapai akurasi 76.43%, presisi 78%, recall 68% dan f1-score 73%.
Peningkatan Literasi Digital dalam Pembuatan Karya Tulis Guru Pada Platform Merdeka Mengajar (PMM) Sari, Ratna; Sari, Rafika; Ramdhania, Khairunnisa Fadhilla; Khalida, Rakhmi; Fitriyani, Aida; Novarizal, Safarin
Journal Of Computer Science Contributions (JUCOSCO) Vol. 5 No. 1 (2025): Januari 2025
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/nd864036

Abstract

This scientific article aims to evaluate a workshop held at SMP Negeri Satu Atap Cibarusah Bekasi to enhance the digital literacy of teachers. The workshop focused on creating written works in the form of Aksi Nyata Documents on the Merdeka Mengajar Platform (PMM), introducing and utilizing the Canva graphic design application and Gemini Artificial Intelligence to support the writing process. Participants were also trained on the structure of writing Aksi Nyata that meet PMM’s Writing Guidelines to ensure validation, as well as how to provide effective feedback for various types of Aksi Nyata. The workshop consisted of three main sessions: (1) Introduction to the Merdeka Mengajar Platform (PMM), (2) Tips for passing PMM Action Plan validation, and (3) Hands-on practice in creating written works aligned with the theme "Literacy Enhancing Student Competence." Evaluation results show that teachers gained increased understanding and skills in composing scientific articles that meet PMM standards and can use technology to improve the quality of their writing. This workshop significantly contributes to strengthening teachers' digital literacy and writing competence, which is expected to be applied in educational development at schools.
Pemanfaatan Artificial Intelligence (AI) Pada Penyusunan Aksi Nyata Platform Merdeka Mengajar di SDN Medalkrisna 01 Sari, Rafika; Sari, Ratna; Ramdhania, Khairunnisa Fadhilla; Juhanda
Journal Of Computer Science Contributions (JUCOSCO) Vol. 4 No. 2 (2024): Juli 2024
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/yme98582

Abstract

This training program is designed to enhance the competency of elementary school teachers in developing practical actions on the Merdeka Mengajar Platform (PMM) by utilizing Artificial Intelligence (AI) technology. Through the use of Turnitin for plagiarism checks and Gamma for document preparation, the program aims to ensure that the work produced is original and well-structured. The training involves teachers in intensive sessions that include the introduction and use of Turnitin to detect plagiarism, as well as Gamma to assist in preparing practical action documents that meet Kemendikbud's validation standards. The results of the training show a significant improvement in teachers' ability to produce creative, innovative, and compliant practical actions according to the assessment criteria. Teachers participating in this program can produce more professional and plagiarism-free documents, thanks to the constructive feedback from AI. Furthermore, the resulting practical action documents have a clear and attractive structure, facilitating the validation process. This program also encourages the formation of a learning community among teachers, where they share best practices and support continuous improvement. Thus, this training program not only enhances teachers' digital competence but also contributes to the overall improvement of education quality. The use of AI in education becomes an important step in preparing teachers to face challenges in the digital era.
Adaptasi Teknologi: Membangun Masyarakat yang Cakap Digital pada Kelurahan Marga Mulya Bekasi Hasan, Febri Zulfatian; Al Fajriy, Muhamad Fadilah; Pribadi, Janwar Irwansah; Hadi, Muhamad Habib Abfsan Maulana; Hasnandi, Azhar; Mahardika, Fauzan Naufaldy; Heikal, Muhammad Alvien; Al Bari, Naufal; Subakti, Rizky; Saputra, Rues Rizki; Ramdhania, Khairunnisa Fadhilla
Journal Of Computer Science Contributions (JUCOSCO) Vol. 5 No. 2 (2025): Juli 2025
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/1dvh7z40

Abstract

Marga Mulya Subdistrict, despite its considerable potential, faces challenges in achieving sustainable development, one of which is the lack of digital literacy. In particular, the limited understanding of digital security poses a significant challenge, especially in RW 02, where many residents own digital devices but remain vulnerable to risks such as the misuse of personal data and online fraud. Kuliah Kerja Nyata (KKN) conducted by UBHARAJAYA as part of the Merdeka Belajar Kampus Merdeka (MBKM) initiative aims to enhance the digital literacy skills of the local community. This program offers education on the wise, safe, and productive use of digital technology, along with training in the use of applications and social media platforms such as WhatsApp, TikTok, Instagram, and Shopee. Furthermore, the program instills awareness of digital security risks and methods to protect personal information. It is expected that through this initiative, the residents of RW 02 will be able to optimize their use of digital technology and build a smart and resilient digital community.
Agglomerative Spatial Clustering Analysis for Mapping Crime Risk Zone Clusters Munandar, Tb Ai; Ramdhania, Khairunnisa Fadhilla
International Journal of Information Technology and Computer Science Applications Vol. 3 No. 2 (2025): May - August 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v3i2.197

Abstract

Public safety and order are crucial aspects of social and economic life, especially in densely populated urban areas. High crime rates can undermine the sense of security and quality of life within society. Therefore, a deep understanding of crime distribution patterns is essential for designing effective prevention strategies. This study aims to map crime risk zones in Indonesia using the Agglomerative Clustering method, by integrating socio-economic and demographic variables. This method was chosen for its ability to group data based on similarity of characteristics, making it easier to identify areas with high-risk levels. The results show the formation of four main clusters that reflect crime risk distribution in Indonesia. The first cluster includes several provinces with similar crime patterns, while the other clusters reflect significant differences in crime patterns, particularly in Jakarta, which has very distinct criminal characteristics. This mapping provides valuable insights for the planning of more efficient, data-driven crime prevention policies. The research is expected to provide a strong foundation for policymakers and law enforcement agencies to formulate more targeted strategies to combat crime in Indonesia.
Peran Teknologi Informasi Dalam Meningkatkan Minat Berwirausaha Ibu-Ibu PKK Perumahan Taman Jatisari Permai Bekasi Srisulistiowati, Dwi Budi; Ramdhania, Khairunnisa Fadhilla; Setiawati, Siti; Rejeki, Sri
Journal Of Computer Science Contributions (JUCOSCO) Vol. 1 No. 1 (2021): Januari 2021
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jucosco.v1i1.508

Abstract

This paper describes about entrepreneurial activities that carried out by woman in Perumahan Jatisari, Bekasi. The concept of economic activity that is integrated with advances in information technology is one of the solutions that can support employment issues and simultaneously support the growth and prosperity of a nation's economy. Entrepreneurship online can be accepted as an alternative way to develop entrepreneurs in Indonesia. The form of buying and selling via the internet is known as e-commerce, and Indonesia has considerable opportunities in the online market. This era provides a large scope for organizing activities in new, innovative, transparent, and accurate so that information processing will be faster and easier. As a developing country, Indonesia continues to improve its network infrastructure by following various developments in information technology which will lead to an era in which the use of the internet has begun to become a daily necessity for all activities. Towards a digital economy marked by the growing development of business or trade transactions that utilize online media.
Penerapan Literasi Digital dan Seni Berbahasa di Kalangan Remaja Masjid Bustanul Ibad Bekasi Ramdhania, Khairunnisa Fadhilla; Setiawati, Siti; Khalida, Rakhmi; Kustanto, Prio Kustanto; Insan, Insan
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 1 (2022): Januari 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/r42b4828

Abstract

In 2022, Indonesia is still overshadowed by the covid-19 pandemic. Moreover, this covid-19 has a new variant called covid-19 Omicron. Covid-19 Omicron in Indonesia continues to increase. The Ministry of Health predicts that the addition of Covid-19 Omicron cases in Indonesia is expected to continue until it reaches its peak in February 2022. For this reason, some parts of the education world in Indonesia are still carrying out online learning. Because of concerns about this omicron wave, the Three Pillars of Higher Education, were carried out online with the object of research being the youth of mosques in North Bekasi. The purpose of this socialization is to provide information and descriptions of positive and negative things or the impacts resulting from the development of digital literacy and teach them about the art of good language when they have to appear in public. The method used is to provide webinars/socialization on digital literacy and good language arts among mosque youths.
Co-Authors Aida Fitriyani, Aida Al Bari, Naufal Al Fajriy, Muhamad Fadilah Dwi Budi Srisulistiowati Hadi, Muhamad Habib Abfsan Maulana Hasan, Febri Zulfatian Hasnandi, Azhar Heikal, Muhammad Alvien Hendharsetiawan, Andy Achmad Hidayat, Dian Fitrianto Insan, Insan Juhanda Khalida, Rakhmi Kuning, Layung Kustanto, Prio Kustanto Lestari, Nur’aini Puji Lisa Adhani Mahardika, Fauzan Naufaldy Novarizal, Safarin Pratama, Aldira Ryan Pribadi, Janwar Irwansah Rafika Sari Ratna Salkiawati Ratna Sari Saputra, Rues Rizki SITI SETIAWATI Sri Rejeki Subakti, Rizky Tb Ai Munandar, Tb Ai