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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Penelitian Pendidikan IPA (JPPIPA) SENTRI: Jurnal Riset Ilmiah Jurnal Penelitian Teknologi Informasi dan Sains
Atika Windra Sari
Institute Technology and Sciences Nahdlatul Ulama Pekalongan, Indonesia
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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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 Yusril Ihza Tachriri; Elvinda Bendra Agustina; Dian Arif Rachman; Atika Windra Sari; Muhammad Rofiqul A’la; Muhammad Lutfhi Al Hisyam; Muhammad Irfan
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 3 (2026): SENTRI : Jurnal Riset Ilmiah, Maret 2026
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.
STUDI IMPEDANSI LISTRIK PADA DIABETES MELLITUS` Laily Ardhianti Putri; Ekowati Retnaningtyas; Shahdevi Nandar Kurniawan; Hani Susianti; Andry Gonius; Atika Windra Sari; Chomsin Sulistya Widodo
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.
Automatic Air Quality Detection System Design in the Industrial Area Atika Windra Sari; Elvinda Bendra Agustina; Isnaini Almaulida Umami; Yusril Ihza Tachriri; Jessika Artamevira; Elly Safitri
Techno.Com Vol. 25 No. 2 (2026): May 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i2.16144

Abstract

The industrial sector is an essential component of the economic structure. A large number of current enterprises degrade air quality in the environment as a result of chemical exposure. As a result, an air quality detection system was designed with the purpose of monitoring air pollutant levels, temperature, and humidity. The system is immediately integrated with smartphones via the Internet of Things. Carbon dioxide (CO2) and carbon monoxide (CO) levels are measured using a MQ-135 sensor. Temperature and humidity are measured using DHT-11 sensors. The complete system is controlled by a NodeMCU ESP8266 connected to an Arduino. Data was collected from two industries using an IoT-based system for a continuous 24-hour cycle over seven days to capture real-time daily fluctuation trends. The continuous 7-day monitoring reveals a clear daily fluctuation trend synchronized with factory shifts, peaking between 12:00 and 14:00 WIB. Dutatex exhibits a higher pollutant load (peak CO2: 820–850 ppm; CO: 8–9 ppm) than Bimatex (peak CO2: 620–650 ppm; CO: 5–6 ppm), while both facilities successfully maintain peak temperatures below 33.0°C. These empirical results demonstrate that continuous 24-hour data acquisition provides a highly accurate and comprehensive assessment for monitoring industrial air quality and occupational health.   Keywords - Air Quality, NodeMCU ESP8266, IoT, MQ-135, Arduino.
Pemodelan Tiga Dimensi Struktur Bawah Permukaan Daerah Manifestasi Panas Bumi Menggunakan Data Gravitasi Satelit GGMplus Muhammad Rofiqul A'la; Atika Windra Sari; Dian Arif Rachman; Elvinda Bendra Agustina; Yusril Ihza Tachriri; Rezqi Alfiandi; Rusliyanto Akbar
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4107

Abstract

Gravity measurements in the Dieng geothermal area at regional and wide scales are still limited. GGMplus data provides large-scale gravity information that can be used for subsurface mapping more efficiently and at lower cost while maintaining optimal results. The GGMplus gravity acceleration data is processed into complete Bouguer anomalies, then separated using upward continuation to obtain regional and local anomalies. Both anomalies are further analyzed using the first horizontal derivative (FHD) and second horizontal derivative (SHD). The results are then used for 3D modeling using Grablox and Bloxer software. The Bouguer anomaly distribution ranges from approximately ‒70 to ‒230 mGal, with high anomalies located in the northeast of the study area, corresponding to geothermal manifestations in Dieng. FHD analysis indicates a regional anomaly source located 6.8 km northeast, interpreted as a magmatic zone. Local anomalies reveal an intrusion body about 2 km in size at a distance of 4 km in Mount Prau, interpreted as a heat source. The 3D model shows high-density values of 2.87 g/cm³ for regional anomalies and 2.8–2.9 g/cm³ for local anomalies, associated with ancient volcanic rocks and diorite intrusions acting as a heat source in the Sikidang–Merdada geothermal system.
Co-Authors Andry Gonius Artamevira, Jessika Chomsin Sulistya Widodo Dian Arif Rachman Dian Arif Rachman Dian Arif Rachman Ekowati Retnaningtyas Elly Safitri Elvinda Bendra Agustina Hani Susianti Isnaini Almaulida Umami Jessika Artamevira Karimah, Imroatul Laily Ardhianti Putri Muhammad Irfan Muhammad Lutfhi Al Hisyam Muhammad Rofiqul A'la Muhammad Rofiqul A’la Rezqi Alfiandi Rusliyanto Akbar Shahdevi Nandar Kurniawan Tachriri, Yusril Ihza Yusril Ihza Tachriri Yusril Ihza Tachriri Yusril Ihza Tachriri