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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Penelitian Pendidikan IPA (JPPIPA) SENTRI: Jurnal Riset Ilmiah
Sari, Atika Windra
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics

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STUDI IMPEDANSI LISTRIK PADA DIABETES MELLITUS` Putri, Laily Ardhianti; Retnaningtyas, Ekowati; Kurniawan, Shahdevi Nandar; Susianti, Hani; Gonius, Andry; Sari, Atika Windra; Widodo, Chomsin Sulistya
Jurnal Penelitian Pendidikan IPA Vol 10 No 7 (2024): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i7.7043

Abstract

Diabetes mellitus has raised concerns about structural and functional changes in blood cells, as well as changes in blood impedance. The purpose of this study is to investigate the relationship between electrical impedance values measured with the Bioelectrical Impedance Analyzer (BIA) in diabetes patients. Blood samples were collected from 5 healthy people and 5 diabetes patients for the study. Electrical impedance testing with a BIA. The impedance method determines the electrical properties of blood by measuring its resistance and reactance at various frequencies. The results of the BIA are analyzed and compared to body health parameters such as the blood glucose level index. The average electrical impedance value in diabetes mellitus patients measured at a frequency of 100 Hz to 100 kHz with a current injection of 10 μA was found to be lower than the average electrical impedance value in healthy people. This study shows that the electrical impedance value of diabetes mellitus patients is lower than the impedance value of healthy people. This is consistent with diabetes mellitus patients' blood glucose levels, which are higher than healthy people's blood glucose levels.
Detection and Analysis of Batik Waste Using Image Processing Methods in Pekalongan Regency Tachriri, Yusril Ihza; Agustina, Elvinda Bendra; Rachman, Dian Arif; Sari, Atika Windra; Karimah, Imroatul; Artamevira, Jessika
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.14849

Abstract

Research was conducted on the detection of batik wastewater in the batik industry of Pekalongan, which generates liquid waste containing synthetic dyes, heavy metals, and hazardous compounds that can potentially pollute the environment if not properly treated. This study aims to develop a simple detection method based on digital image analysis to identify the color characteristics of batik wastewater. Data were obtained by sampling liquid waste from several affected rivers, which were then analyzed using a digital camera and image processing software to determine the intensity values of the red, green, and blue (RGB) channels. The results show that variations in waste concentration significantly influence the distribution of RGB values, enabling faster, cheaper, and more practical identification of pollution patterns compared to conventional laboratory methods. These findings are expected to serve as the foundation for developing a digital technology-based batik wastewater quality monitoring system as part of efforts to mitigate environmental pollution in Pekalongan.   Keywords - Batik wastewater, Digital image analysis, RGB intensity, Environmental pollution, Image processing
System Design Of Printer Machine Using Image Classification Method Based On Iot To Optimize Production Output Tachriri, Yusril Ihza; Agustina, Elvinda Bendra; Rachman, Dian Arif; Sari, Atika Windra; A’la, Muhammad Rofiqul; Al Hisyam, Muhammad Lutfhi; Irfan, Muhammad
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 3 (2026): SENTRI : Jurnal Riset Ilmiah, Maret 2026 (In Press)
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i3.5986

Abstract

The micro, small, and medium enterprises (MSMEs) industry plays a crucial role in supporting the Indonesian economy, yet faces challenges in production efficiency and cost management. This study presents the design and development of an IoT-based automated screen-printing system that integrates edge-based image classification using a CNN model with microcontroller-driven print actuation, specifically tailored for MSME-scale garment production. The system employs an ESP32/Raspberry Pi as the edge device, enabling local inference without cloud dependency, and utilizes MQTT protocol for IoT connectivity. Quantitative evaluation across 50 test cycles demonstrated a 96% printer success rate, a 60% reduction in production time from 45 to 18 minutes per 10 shirts, a 90% reduction in labor from 10 operators to 1, and an approximately 50% reduction in per-unit production cost from Rp65,000–80,000 to Rp30,000–40,000 per shirt. IoT connectivity testing over 48 continuous hours recorded an average MQTT latency of 120 ms and a system uptime of 98.5%, confirming the reliability of the communication layer for sustained production operations. Grounded in Industry 5.0 principles, this research advances human-machine collaboration in small-scale manufacturing contexts. The proposed system offers a cost-effective, remotely controlled, and semi-autonomous production solution, representing a novel contribution to the field of IoT-based garment manufacturing in Indonesia.
Co-Authors Agustina, Elvinda Bendra Al Hisyam, Muhammad Lutfhi Artamevira, Jessika A’la, Muhammad Rofiqul Chomsin Sulistya Widodo Dian Arif Rachman Ekowati Retnaningtyas Elvinda Bendra Agustina Gonius, Andry Hani Susianti Karimah, Imroatul Muhammad Irfan Putri, Laily Ardhianti Shahdevi Nandar Kurniawan, Shahdevi Nandar Tachriri, Yusril Ihza