Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal International Journal of Informatics and Computation ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi
Anang Faktchur Rachman
Universitas Madura
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Sosialisasi Efisiensi Produksi dan Omzet Penjualan UMKM Kripik Singkong melalui Pemanfaatan Sistem Informasi Digital Marketing Yuiana Trisanti; Citra Siwi Hanayanti; Anang Faktchur Rachman
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 2 No. 1 (2023): Februari 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v2i1.1643

Abstract

A prolonged pandemic as a result of the Corona virus is one form of threat that attacks many countries in the world. This pandemic has an impact on almost all sectors of life. One of the sectors affected apart from health is the economic sector. The economic sector cannot be separated from the shift where previously there were many conventional businesses, so in recent years it has begun to shift to digital business. In relation to MSMEs as one of the economic sub-sectors, inevitably they have to keep up with the times. The phenomenon that MSME products have constraints in terms of marketing so that many products are not sold, the use of traditional marketing strategies that have not reached a wide market share and a significant decline in income during the Covid-19 pandemic which has an impact on the low economic resilience of MSME actors. This PKM activity does not only carry out digital marketing activities for MSME products, but also solves the problems of cassava chip SMEs in marketing their products, from product design, packaging, to marketing through digital marketing. The objectives of this PKM are 1) to provide training to cassava chips SMEs how to design products to be attractive and provide different flavors that are liked by potential consumers; 2) provide training on how to package attractive and durable products; 3) provide training on how to market products through digital marketing so that the products produced are known to the wider community. The method used is in the form of training for MSME actors with clear output targets for each training subject.
Sistem Informasi Manajemen Pakan dan Monitoring Kulitas Air Tambak pada Budidaya Udang Vaname Berbasis Web Sholeh Rachmatullah; Nirwana Haidar Hari; Matsaini Matsaini; Anang Faktchur Rachman
ILKOMNIKA: Journal of Computer Science and Applied Informatics Vol 5 No 1 (2023): Volume 5, Nomor 1, April 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v5i1.541

Abstract

Budidaya udang vaname merupakan salah satu usaha perikanan yang sangat prospektif di Indonesia. Penelitian ini bertujuan untuk melakukan pencatatan dosis pemberian pakan atau feeding, sampling dan monitoring kualitas air pada tambak udang vaname berdasarkan jumlah penebaran udang disetiap lahan. Metodelogi yang digunakan dalam penelitian ini adalah Sistem Developmen Life Cyrcle (SDLC) water fall. Tahapan dimulai dari observasi tambak udang vaname untuk mengidentifikasi jumlah tebaran udang dalam setiap tambak, dosis pakan, kondisi air, siphon dan water treadment. Analisa permasalahan dan hasil observasi serta menentukan alternatif solusi, Hasil Analisa menunjukan bahawa pembudidaya kesulitan dalam mencatat segala aktifitas yang berhubungan dengan sampling, dosis pakan dan perlakuan udang vaname di tambak. Langkah berikutnya perancangan sistem berdasarkan permasalahan yang ada, coding, implemantasi, dan evaluasi. Sistem Informasi manajemen pemberian dosis pakan udang sangatlah penting untuk pertumbuhan, sedangkan kondisi air akan memberikan informasi tentang water treatment bagi pembudidaya agar kondisi udang tetap sehat. Segala aktifitas tambak, proses pembesaran dan pemeliharan udang disetiap tambak bisa terpantau. Dukungan teknologi informasi dapat membantu pembubidaya udang untuk menambah produktifitas lahan tambak dalam meningkatkan padat penebaran udang sehingga potensi kerugian atau keuntungan bisa diukur.
Implementation of KNN Algorithm for Occupancy Classification of Rehabilitation Houses Nurhadi Wijaya; Joko Aryanto; Kasmawaru Kasmawaru; Anang Faktchur Rachman
International Journal of Informatics and Computation Vol. 4 No. 2 (2022): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v4i2.36

Abstract

The 2010 eruption of Mount Merapi and the resulting rain lava in Central Java's Kab. Sleman DIY and Magelang Regency damaged homes and infrastructure. According to the Head of BNPB Regulation No. 5, the Community Rehabilitation and Reconstruction and Community-Based Settlement program plan is utilized to repair and rebuild properties damaged by the 2011 Merapi eruption. Two thousand five hundred sixteen residences that will stay in the area have been built permanently due to this initiative. Occupancy rates (permanent occupancy) are used by the World Bank's Key Performance Indicators (KPI) to gauge a program's effectiveness. The database has information on how the software was used and proved successful. Databases, essential tools for introducing new data patterns and revealing previously hidden information, are used in data mining. This study applies the KNN algorithm to classify the house's occupancy status data after Mount Merapi's eruption. The accuracy results obtained from the classification of 82.03%, and the performance of the results through the AUC obtained a value of 0.935.
Co-Authors Citra Siwi Hanayanti Hari, Nirwana Haidar Joko Aryanto kasmawaru kasmawaru Matsaini, Matsaini Sholeh Rachmatullah Wijaya, Nurhadi Yuiana Trisanti