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All Journal Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Techno.Com: Jurnal Teknologi Informasi Jurnal Fisika Unand Jurnal Fisika FLUX TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi SENTRI: Jurnal Riset Ilmiah Jurnal Pengabdian Pada Masyarakat Lontar Physics Today SmartComp Jurnal Penelitian Teknologi Informasi dan Sains
Elvinda Bendra Agustina
Institut Teknologi Dan Sains Nahdlatul Ulama Pekalongan
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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
IoT-Based Smart Locker: Innovation in Automatic Package Receipt Integrated with Telegram Elvinda Bendra Agustina; Recha Nofillah
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 12 No 1 (2026): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v12n1.17-22

Abstract

The development of E-Commerce in this digital era is increasingly rapid, thus affecting the use of goods delivery services. The problem that often occurs in the delivery process is that the recipient of the goods is traveling. This automatic Smart box system is designed to receive packages automatically remotely using the internet of things via the Telegram application. The system uses an ultrasonic sensor to send notifications to the Telegram bot if a package arrives by reading a distance value between 10 cm. This system also utilizes a servo motor as an actuator that can be controlled to open and close the package box. Meanwhile, to find out if the package has been placed in the package box, a load cell sensor is used to send the package weight value. This system uses an ESP32 microcontroller as the system control center and WiFi network. The system is also equipped with ESP32-CAM which is used as a security tool when goods arrive. The test results show that the tool can work well and all components can run according to their function, and connect to the Telegram bot. However, problems that are sometimes encountered are problems that may occur in the system, namely internet network problems that affect sending messages to the Telegram bot.
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.
Klasifikasi Strategi Penjualan Produk UMKM dengan Penerapan fitur seleksi Forward Selection pada Algoritma C4.5 M. Rudi Fanani; Elvinda Bendra Agustina
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 4 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i4.6842

Abstract

Perkembangan Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia telah menjadi sorotan utama dalam memajukan ekonomi, mengurangi kemiskinan, dan meningkatkan kesejahteraan masyarakat. UMKM tak hanya berperan strategis dalam menciptakan lapangan kerja, menggerakkan ekonomi lokal, namun juga menjadi sumber inspirasi bagi inovasi dan kreativitas. Kelurahan Kedungwuni Timur merupakan wilayah di kecamatan Kedungwuni Kabupaten Pekalongan Jawa Tengah. Profesi mayoritas warga Kelurahan Kedungwuni Timur bergerak dalam bidang UMKM Fashion. Kendala saat ini pihak konsumen sudah dengan mudah membandingkan suatu produk. Oleh karena itu perlu dilakukan sebuah strategi penjualan dengan memanfaatkan konsep Teknologi Informasi salah satunya menggunakan teknik Data Mining. Algoritma C4.5 merupakan algoritma dari data mining yang digunakan untuk memprediksi strategi penjualan produk UMKM dengan nilai akurasi yang didapat sebesar 82.78%. Untuk meningkatkan nilai akurasi maka digunakan fitur seleksi forward selection sehingga menghasilkan akurasi sebesar 86.11%.
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.
Rancang Bangun Smart Feeder Terintegrasi Monitoring Kualitas Air Bertenaga Surya Berbasis IoT pada Budidaya Perikanan Elvinda Bendra Agustina; Dian Arif Rachman; Yusril Ihza Tachriri; Jessika Artamevira; Khusfiatul Kholisah
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 6 (2025): Desember 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i6.6658

Abstract

This study presents the design and implementation of a smart feeder system integrated with real-time water quality monitoring powered by a solar photovoltaic system and based on the Internet of Things (IoT). The system automatically dispenses fish feed and monitors key water quality parameters such as pH, temperature, and Total Dissolved Solids (TDS). The ESP32 microcontroller was used as the main controller, integrated with multiple sensors and an MQTT-based monitoring application. The entire system is powered by a 30 Wp solar panel and a 12 V battery, enabling autonomous operation in remote areas without grid access. Experimental results show that motor rotation speed significantly affects feed distribution. The optimal feeding performance was achieved at medium motor speed with a feed distance of 8 m, ensuring uniform feed dispersion and low energy consumption (±14.4 W). Water quality parameters remained within the ideal range for freshwater aquaculture: pH 6.6–6.9, temperature 27.5–28.8 °C, and TDS 380–450 ppm. The photovoltaic system generated around 90–110 Wh/day, meeting the system’s daily energy demand (±45 Wh/day). This integrated IoT–solar solution demonstrates high efficiency and sustainability, suitable for rural aquaculture applications.
Implementasi Aquasmart And Wastewater Treatment Guna Meningkatkan Hasil Produksi pada Budidaya Ikan Bumdes Bio Avicenna Abyudaya Kabupaten Pekalongan Elvinda Bendra Agustina; M. Rudi Fanani; Nasyita Vivi Amalia; Jessika Artamevira; Khusfiatul Kholisah
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 4 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i4.6502

Abstract

The activities are based on the issues by the community in Api-Api village regarding the management of fish and shrimp ponds. These issues include the high cost of pond cultivation, inefficient feed provision, leading to wastefulness and a decrease in the Feed Conversion Ratio (FCR). Additionally, the liquid waste from the cultivation process has not been optimally utilized or managed, resulting in environmental pollution when disposed of directly, and many fish/shrimp dying due to poor water quality. Efforts have been made to provide solutions using the Aquasmart technology system: Smart Feeder Innovation and Water Quality Monitoring IoT (Internet of Things) and biofiltration technology with natural material wastewater treatment as a solution to the wastewater problems caused by feed materials and fish/shrimp waste.The activities were implemented in stages, starting with socializing and introducing the Aquasmart system and the use of simple biofilter wastewater treatment at the house of the headman of Api-Api. After that, the implementation of the Aquasmart system was carried out directly at the ponds managed by BUMDes (Village-Owned Enterprise) together with BUMDes members and the pond management community. The result showed that the community and BUMDes members reached new knowledge and skills related to pond management technology for fish and shrimp. The satisfaction level of the participants in the socialization and implementation of the activities showed above 50%, that indicating the participants were satisfied with the activities. The technology provided is expected to reduce the issues in pond management.
Image Histogram Analysis in a Webcam-Based Non-Ionizing Tomographic System for Early Shrimp Disease Detection Yusril Ihza Tachriri; Dian Arif Rachman; Yuni Lestiani; Elvinda Bendra Agustina; Atika Windra Sari; Muhammad Rofiqul A’la; Rif’atun Romadhoni; Azka Nazhan Ristiani
Techno.Com Vol. 25 No. 3 (2026): August 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i3.16203

Abstract

This study presents the development of a non-ionizing tomography imaging system using a webcam to detect diabetes-like metabolic disorders in Litopenaeus vannamei through digital image histogram analysis. The method employs controlled glucose injections (0–10 mL) to simulate metabolic variation, followed by optical image acquisition and RGB histogram characterization using Python-based GUI software. Calibration with a white-screen baseline ensures consistent optical response. Results show significant RGB histogram shifts correlating with glucose concentration changes, indicating optical density variations in shrimp tissues. The RGB mean intensity decreased by approximately 20–35% between 0 and 6 mL glucose concentration. Linear regression analysis within the 0–6 mL range yielded a sensitivity of 11.48 intensity units/mL with R² = 0.987, and an estimated detection limit of 0.4 mL equivalent glucose change. The method demonstrates potential as a non-invasive, low-cost diagnostic tool for early metabolic disorder detection in aquaculture.   Keywords - non-ionizing tomography, RGB histogram analysis, Litopenaeus vannamei, glucose detection, digital image processing
Co-Authors Abdul Hakim Prima Yuniarto Alif Tiana Dewi Artamevira, Jessika Atika Windra Sari Azka Nazhan Ristiani Dewi, Alif Tiana Dian Arif Rachman Dian Arif Rachman Dian Arif Rachman Elly Safitri Fitri, Lia Ikhlasia Inayatul Inayah Isnaini Almaulida Umami Jessika Artamevira Jessika Artamevira Karimah, Imroatul Khusfiatul Kholisah Lia Ikhlasia Fitri M. Rudi Fanani Muhammad Irfan Muhammad Lutfhi Al Hisyam Muhammad Rofiqul A'la Muhammad Rofiqul A’la Nasyita Vivi Amalia Nofillah, Recha Nur Rohman Nurmawanti, Rainisa Recha Nofillah Recha Nofillah Rezqi Alfiandi Rif’atun Romadhoni Rizqiyah, Mufidah Rusliyanto Akbar Sandi, Dianisa Khoirum Saodah, L Sri Budiawanti Tachriri, Yusril Ihza Yofentina Iriani Yuni Lestiani Yuni Lestiyanti Yusril Ihza Tachriri Yusril Ihza Tachriri