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All Journal Jurnal Matematika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI EIGEN MATHEMATICS JOURNAL Jurnal Gema Ngabdi Jurnal Varian Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Jurnal Dinamika Sosial Ekonomi Journal of Mathematics: Theory and Applications Prosiding Konferensi Nasional PKM-CSR Kajian Sastra Nusantara Linggau ( KASTRAL) Jurnal Riset Rumpun Agama dan Filsafat Jurnal Karya Pengabdian Teknik Mesin Jurnal Pepadu Jurnal Intelek Insan Cendikia Indonesian Journal of Islamic Religious Education (INJIRE) Indonesian Science Education Journal (ISEJ) AL-Ikhtiar : Jurnal Studi Islam Lontar Komputer: Jurnal Ilmiah Teknologi Informasi International Journal of Computing Science and Applied Mathematics-IJCSAM
Nurul Fitriyani
Department Of Mathematics, Faculty Of Mathematics And Sciences, University Of Mataram Mataram, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Enhanced Performance of Dynamic Neural Network Model using Wavelet Activation Functions Syamsul Bahri; Lailia Awalushaumi; Nurul Fitriyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 14 No. 03 (2023): Vol. 14, No. 03 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p03

Abstract

Both static and dynamic adaptive neural networks have been broadly utilized in mathematical modeling and numerical analysis. This study aimed to enhance the accomplishment of Dynamic Neural Networks (DNN) models by applying wavelet functions as activation functions. Research that models and forecasts the intensity of solar radiation in Mataram City shows that combining B-Spline and Morlet wavelet activation functions can significantly increase the DNN model performance. Wavelet-DNN (W-DNN) was modeled with an identical architecture; the best showed the increase in the model achievement (0.7596 points for in-sample and 0.8502 points for out-sample data). Mainly for out-sample data, the model's performance using the W-DNN+ intervention model increased by 4.0492 points.
Developing MSMEs through Hongkong Caterpillar Cultivation Tanjung, Abdillah Rizki; Misrah; Nisa Syahrani; Nurul Fitriyani; T. Lailan Safinah
Jurnal Dinamika Sosial Ekonomi Vol. 26 No. 2 (2025): Jurnal Dinamika Sosial Ekonomi
Publisher : Agribusiness Department, Faculty of Agriculture, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jdse.v26i2.16260

Abstract

This study analyzes the development strategy of Hong Kong caterpillar cultivation MSMEs (Tenebrio molitor) in Suka Makmur Village, Lalat Regency. With a qualitative approach of case studies on 10 selected respondents, data was collected through interviews, observations, and documentation, and then analyzed thematically. The results showed an average production of 65–75 kg per cycle with an initial capital of IDR 1,500,000. The running nucleus-plasma partnership pattern is asym-metrical, limiting market access and profit margins for farmers, although local innovations in feed and reinvestment support business sustainability. The main obstacles include limited capital, dependence on one core partner, and low digital marketing competence. On the other hand, these efforts contribute to increasing income, job creation, and converting organic waste into fertilizer. As a recommendation, the development strategy is focused on increasing human resource capacity, product diversification, digital marketing, and expanding access to financing and market networks to support the independence and competitiveness of MSMEs.
Analisis Manajemen Pelayanan Publik Lintas Agama dan Tata Kelola Kepegawaian: (Studi Kolaboratif Magang Mahasiswa UIN Sumatera Utara di Kemenag Kota Medan) Annisa Ulfa Andriani; Sahdin Hasibuan; Widia Lestari; Nurul Fitriyani; Indana Sephia Citra
Jurnal Riset Rumpun Agama dan Filsafat Vol. 3 No. 2 (2024): Oktober: Jurnal Riset Rumpun Agama dan Filsafat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrafi.v3i2.8648

Abstract

This internship program aimed to provide practical experience for students from Universitas Islam Negeri Sumatera Utara in understanding public service management across religious communities and personnel governance within government institutions. The internship took place at the Office of the Ministry of Religious Affairs of Medan City, an institution playing a strategic role in delivering religious services and managing civil servants. The main focus of this study was on cross-religious public services and the implementation of personnel management systems. The findings indicate that the Ministry of Religious Affairs of Medan City applies principles of fairness, tolerance, and professionalism in delivering cross-religious public services, supported by an organized and structured personnel governance system. This internship offers significant benefits to students by enhancing their practical knowledge, administrative skills, and professional attitudes, especially in handling diversity within the public sector. By experiencing the management of public services and personnel governance, students gained valuable insights into the operational challenges and strategies employed in the public administration of religious affairs.
Metaheuristic Search in Mixed Kernel and Spline Truncated Non-parametric Regression Mustika Hadijati; Irwansyah Irwansyah; Nurul Fitriyani; Muhammad Sopian Sauri
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 2 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i2.8841

Abstract

Non-parametric regressions are widely used in data analysis because of their flexibility. Apart from their applicability, it is not easy to find the optimal parameters of the corresponding non-parametric models. This situation is caused by the nonexistence of a closed formula of the optimal parameters. In this paper, we propose a metaheuristic approach for optimal parameter search in mixed kernel and truncated spline and kernel regression. Moreover, we provide examples on how to implement the proposed algorithm to both real and simulated datasets. The results indicate that the algorithm yields highly accurate predictions for mixed truncated spline and kernel regression models.
Co-Authors Abdillah Rizki Tanjung Agus Kurnia Akhmed Syarifatul Raflus Alfira Sofia Rahayu Amalia Chairunissa Annisa Ulfa Andriani Atma Utami Sawitri Baiq Urfa Justitiaski Bidayani Bidayani Dalmeri Deni Pratiwi Desy Komalasari Dini Wijayanti Ema Syaidah Ena Setiawana Erry Esa Aprilliansyah Harsyiah, Lisa Himayati Himayati Husnul Arini I Gde Ekaputra Gunartha I Gede Ekaputra Gunartha I Nyoman Budiantara Indana Sephia Citra Irwansyah Irwansyah Jamaluddin Joji Ardian Pembargi Jurnal Pepadu Jusmawati Jusmawati Komarudin Lailia Awalushaumi Lailia Awalushaumi Lalu Abd Azis Mursy Misrah Moudy Puspita Ayudhiah Muhamad Aditio Apriesta Suharto Muhammad Rijal Alfian Muhammad Rizaldi Muhammad Sopian Sauri Muhammad Sopian Sauri Mustika Hadijati Mustika Hadijati Ni Luh Putu Dewi Wikayanti Ni Wayan Switrayni Nisa Syahrani Nurhafizah Oca Qurratul Aini Riski Aprilia Rosanti W. ahidatussolihah Sahdin Hasibuan Salwa Salwa Sapurah Sapurah Siti Wulandari Sri Wati Agustini Syamsul Bahri Syamsul Bahri T. Lailan Safinah Tanjung, Abdillah Rizki Ulfa Destiarina Widia Lestari Zulhan Widya Baskara