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All Journal Jurnal Simantec Jurnal Ilmiah Kursor ELINVO (Electronics, Informatics, and Vocational Education) Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Network Engineering Research Operation [NERO] Jambura Journal of Mathematics ComTech: Computer, Mathematics and Engineering Applications Journal of Information Systems and Informatics JoMMiT : Jurnal Multi Media dan IT JUSIFOR : Jurnal Sistem Informasi dan Informatika International Journal of Integrative Sciences Signal and Image Processing Letters
Fifin Ayu Mufarroha
Fakultas Teknik, Universitas Trunojoyo Madura
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Peramalan Curah Hujan Berbasis Jaringan Syaraf Tiruan untuk Optimalisasi Musim Tanam Padi Bachtiar, Dimas; Pratiwi, Indah; Jauhari, Achmad; Yusuf, Muhammad; Mufarroha, Fifin Ayu; Anamisa, Devie Rosa
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 1 (2025): JUSIFOR - Juni 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i1.5862

Abstract

Sektor pertanian berperan penting dalam kesejahteraan masyarakat Indonesia, terutama dalam produksi beras. Namun, hasil panen beras sangat bergantung pada faktor iklim, khususnya curah hujan yang mempengaruhi jadwal tanam dan produktivitas. Penelitian ini bertujuan mengembangkan model prediksi curah hujan menggunakan Jaringan Syaraf Tiruan Backpropagation (JST) untuk mengoptimalkan musim tanam padi di Bangkalan, Madura. Data curah hujan harian dari Januari 2019 hingga Juli 2024 diproses, dinormalisasi, dan digunakan sebagai input pada JST. Setelah pengujian berbagai konfigurasi, model terbaik diperoleh dengan learning rate 1.0, lima hidden layer, dan sepuluh neuron, menghasilkan MAPE sebesar 0,3912. Model ini memprediksi bahwa musim tanam padi di Bangkalan dapat dimulai pada bulan Oktober karena tingkat curah hujan memenuhi ambang batas yang diperlukan. Penelitian ini memberikan wawasan bagi pemangku kepentingan dalam merencanakan jadwal tanam yang efektif untuk mengurangi risiko gagal panen.
Traditional Herbal Medicine Production Information System Based on Prototyping Method Yunitarini, Rika; Fitrianto, Hambali; Mufarroha, Fifin Ayu; Koeshardianto, Meidya
Signal and Image Processing Letters Vol 7, No 1 (2025)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v7i1.112

Abstract

Indonesia is the country with the second largest biodiversity in the world after Brazil. Indonesia's biodiversity is very rich, both on land and at sea, and is one of the most important in the world. The benefits of Indonesia's biodiversity is as a natural resource that plays an important role one of them in the production of traditional herbal medicine. Madura Island in East Java, Indonesia, is famous for its natural resources and respected Madurese herbal medicine, internationally recognized for its efficacy in addressing health and beauty issues. The increasing demand for traditional herbal medicine products motivates the industry to improve production efficiency, prioritizing effective management and optimal utilization of raw material stocks. This research aims to manage the production needs of traditional herbal medicine by identifying information needs and developing a Production Information System using the Laravel framework to meet industry needs. This research will evaluate the impact of the system on the production process and the management of raw material needs in the traditional herbal medicine sector. The expected results include a positive contribution to the industry, better production performance, and improved handling of raw material stocks. The integration of the Laravel framework is expected to improve production performance and provide features for the traditional herbal medicine industry. In conclusion, this research seeks to offer a customized and effective solution for the traditional herbal medicine industry, addressing the increasing market demand through the optimization of production processes and management practices.
Co-Authors Achmad Jauhari Achmad Jauhari, Achmad Ahmad Try Bayu Al Haq Akhmad Tajuddin Tholaby Andharini Dwi Cahyani Ari Kusumaningsih Bachtiar, Dimas Bain Khusnul Khotimah Bain Khusnul Khotimah Dafid, Ach Devie Rosa Anamisa Doni Abdul Fatah Firli Irhamni Fitrianto, Hambali Ifandia, Alfian Mahendra Ika Oktavia Suzanti Indah Agustien Sirajuddin Indah Pratiwi Khusnul Fatimah Koeshardianto, Meidya Linawati Linawati Moh. Yusril Ihza Maulana Mohammad Yanuar Hariyawan Muhammad Amfahtori Wijarnoko Muhammad Yusuf Mulaab Mulaab Nuraini, Dinah Okie Maria Amul Husnah Rachmad Masbadi Hatullah Nurnaryo Rika Yunitarini Septiyanto, Triyas Siradjuddin, Indah Agustien Sukri, Hanifudin Violina, Dina Wahyu Indra Kustina Wanda, Isnaini Septyana Yeni Kustiyahningsih Yudha Dwi Putra Negara, Yudha