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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal SOLMA SENTRI: Jurnal Riset Ilmiah
Tachriri, Yusril Ihza
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Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Other

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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
Pemberdayaan Masyarakat Tambak melalui Inovasi Aerator Cerdas Berbasis IoT dan Energi Surya di Daerah Pesisir Harmoko, Harmoko; Tachriri, Yusril Ihza; Al'amin, M; Harinugroho, Hafizh; Ma’arif, Zaenul
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20918

Abstract

Pendahuluan: Wilayah pesisir utara Pekalongan memiliki potensi besar dalam budidaya udang vaname, namun produktivitas masih rendah akibat ketidakstabilan kualitas air, tingginya biaya operasional karena ketergantungan pada listrik PLN, serta manajemen usaha yang masih bersifat konvensional. Program ini bertujuan meningkatkan efisiensi dan hasil produksi tambak melalui penerapan Aerator Cerdas berbasis Internet of Things (IoT) tenaga surya, sistem monitoring kualitas air otomatis, serta digitalisasi manajemen budidaya. Metode: Tahapan kegiatan meliputi observasi kondisi tambak, sosialisasi, pelatihan teknis dan non-teknis, implementasi perangkat, pendampingan operasional, dan evaluasi kinerja menggunakan indikator biaya, kualitas air, dan produktivitas. Hasil: Program menunjukkan penurunan biaya listrik sebesar 20–30%, peningkatan kualitas air dengan oksigen terlarut stabil ≥4 mg/L, serta peningkatan produktivitas minimal 20%. Selain itu, 30% anggota kelompok telah menggunakan aplikasi manajemen tambak untuk pencatatan pakan dan siklus panen. Kesimpulan: Penerapan teknologi aerator cerdas berbasis IoT tenaga surya efektif meningkatkan efisiensi, produktivitas, dan kemandirian energi petambak, serta memberi dampak sosial ekonomi positif dan berpotensi direplikasi di wilayah pesisir lainnya.
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 Al'Amin, M Artamevira, Jessika A’la, Muhammad Rofiqul Dian Arif Rachman Elvinda Bendra Agustina Harinugroho, Hafizh Harmoko Harmoko, Harmoko Karimah, Imroatul Ma’arif, Zaenul Muhammad Irfan Sari, Atika Windra