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Identification of the Quality of Ready-to-Eat Food Production Waste Water Using the MCDM Approach: Identifikasi Kualitas Air Sisa Produksi Makanan Siap Saji Dengan Menggunakan Pendekatan MCDM Indah Apriliana Sari Wulandari; Nur Ravita Hanum; Fitria Trisna Sisiliani
Academia Open Vol. 8 No. 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.6956

Abstract

The rapid growth of Micro, Small, and Medium Enterprises (MSMEs) in the fast-food industry has raised concerns about the environmental impact, particularly regarding waste generation and its potential to pollute water sources. This research conducted in the Sidoarjo area aimed to identify the influence of MSME fast-food waste on water quality parameters, including Temperature, Turbidity, TDS, TSS, pH, DO, COD, Nitrate, Heavy Metal Cd, Total Coliform, and E-Coli. The study employed the Analytic Network Process (ANP) method, aided by Super Decision software version 2.10, to rank the most influential water quality criteria and prioritize alternative strategies to mitigate environmental issues. The results highlight crucial water quality parameters affected by MSME fast-food waste and present actionable insights for minimizing environmental impacts and safeguarding human health and the ecosystem. Highlights: Significant Environmental Impact: The rapid growth of Micro, Small, and Medium Enterprises (MSMEs) in the fast-food industry poses a significant environmental impact due to the waste generated during the production process. Water Quality Parameters: The study focuses on analyzing various water quality parameters affected by MSME fast-food waste, including Temperature, Turbidity, TDS, TSS, pH, DO, COD, Nitrate, Heavy Metal Cd, Total Coliform, and E-Coli. ANP Method for Mitigation: To address the environmental challenges posed by fast-food MSME waste, the research employs the Analytic Network Process (ANP) method, supported by Super Decision software version 2.10, to prioritize effective and sustainable alternatives for minimizing environmental pollution. Keywords: MSME, fast-food waste, water quality, environmental issues, ANP method
Empowering Islamic Science Literacy Through IoT Hydroponics Based Project Learning Eni Fariyatul Fahyuni; Dzulfikar Akbar Romadhon; Nur Ravita Hanum; Mochamad Chafiid Dhuha
Abdi Psikonomi Vol 7, No 1 (2026): Juni 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/psikonomi.v7i1.18984

Abstract

This community service program was implemented at MTs Muhammadiyah 1 Taman, Sidoarjo, to transform simple hydroponic practices into a data-based science learning medium that integrates technology, Islamic ecological values, and green edupreneurship. The partner school had introduced hydroponics, but the activity was still manual, had not used pH, TDS, and water temperature data as learning evidence, and had not been supported by modules, worksheets, standard operating procedures, or a sustainability team. This program aimed to strengthen students' science literacy, Islamic character, life skills, and entrepreneurial awareness through Technology Project-Based Learning (TPjBL) supported by Internet of Things (IoT)-based hydroponics. The program used a participatory-collaborative method involving needs assessment, TPjBL and Islamic entrepreneurship training, IoT hydroponic implementation, learning assistance and evaluation, and sustainability strengthening. Participants consisted of 22 people, including science teachers, seventh-grade students, and life-skills program managers. Data were collected through pre-test and post-test, observation sheets, project rubrics, pH/TDS/water temperature logs, product documentation, and teacher-student reflections. The results showed a 70% increase in students' science literacy achievement, improved engagement in observing, measuring, recording, analyzing, and communicating plant growth data, and the formation of an initial school-based green edupreneurship initiative. The program produced an IoT hydroponic TPjBL model, learning modules, sensor data logs, SOPs, and a follow-up management plan. This activity demonstrates that hydroponics can function as a contextual living laboratory for sustainable science learning in madrasah environments