Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Sainteks: Jurnal Sain dan Teknik
Nurfadilah Ikhsani
Akademi Komunitas Industri Tekstil dan Produk Tekstil Surakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Morphological and Structural Characterization of Pineapple Leaf Fibers: Implications for Eco-Friendly Textile Applications Ahmad Darmawi; Sih Parmawati; Nurfadilah Ikhsani; Fahad
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.10784

Abstract

Natural fibers from pineapple leaves (Ananas comosus L.) are a potential renewable resource, but their characteristics are highly dependent on their geographical origin. This study aimed to characterize the physico-mechanical properties and morphology of pineapple leaf fibers (PALF) sourced from local farmers in Kediri, East Java. Characterization was conducted at an accredited testing institution using SNI standards, covering fineness, bundle tenacity, and Scanning Electron Microscopy (SEM) observations. The results revealed that the fibers exhibited an average fineness of 33.7 dtex and a tenacity of 23.20 g/tex. Morphological analysis showed a course, multi-cellular, and dense fiber structure. Based on these findings, it is concluded that these PALF demonstrate greater potential for applications in technical textiles and as reinforcement in bio-composite materials rather than as a raw material for apparel yarn.
Development of an Internet of Things–based fabric defect recording system with automatic length measurement using a rotary encoder Andrian Wijayono; Fahmi Fawzy Rusman; Nurfadilah Ikhsani; Reffli Ghandara
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 01 (2026): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i01.1079

Abstract

The textile industry requires efficient, accurate, and real-time quality control systems to replace paper-based inspection methods prone to errors and delays. This study develops and evaluates an Internet of Things (IoT)-based fabric defect recording system integrating a rotary encoder for length measurement, Arduino Uno as the controller, ESP32 as the communication module, a keypad for operator input, and a web-based MySQL database. The system automatically measures fabric length, records defect types, and transmits data wirelessly for real-time monitoring and management. Validation was conducted by comparing the proposed system with manual measurement and industrial inspection machines. One-Way ANOVA results show no significant difference in measurement accuracy (p = 0.865 > 0.05), with a Mean Absolute Error (MAE) of 0.0074 m, indicating high precision. Efficiency testing using a paired sample t-test shows a 79.2% reduction in recording time, from 16.8 seconds to 3.5 seconds (using digital recording system), with a significant difference (p < 0.001). The system also demonstrates reliable performance with low latency (120–150 ms), high repeatability, and zero data loss through buffering during network disruptions. These results indicate that the system improves operational efficiency while maintaining accuracy comparable to conventional methods and supports real-time integrated data management for textile industry digital transformation.
Co-Authors Darmawi, Ahmad Fahad Fahmi Fawzy Rusman Reffli Ghandara Sih Parmawati Wijayono, Andrian