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Gema Lingkungan Kesehatan
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : 16933761     EISSN : 24078948     DOI : 10.36568
Core Subject : Health, Science, Social,
Environmental Science Health Professions Immunology & microbiology Public Health
Jurnal GEMA Lingkungan Kesehatan [e-ISSN: 2407-8948 | DOI: 10.36568] is a journal aims to be a leading peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on environmental health or public health as well as related topics that has neither been published elsewhere in any language, nor is it under review for publication anywhere. This following statement clarifies ethical behavior of all parties involved in the act of publishing an article in this journal, including the author, the editor, the reviewer, and the publisher (Jurusan Kesehatan Lingkungan Poltekkes Kemenkes Surabaya).
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Kesehatan, Toksikologi dan Mutasi Gen
Articles 193 Documents
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The Potential Use of Avocado Leavers (Persea americana) as an Antidiabetict Agent Saputra, Kadek Abdi; Udayani, Ni Nyoman Wahyu; Suwantara, I Putu Tangkas
Gema Lingkungan Kesehatan Vol. 24 No. 1 (2026): Gema Lingkungan Kesehatan (on progress)
Publisher : Poltekkes Kemenkes Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36568/gelinkes.v24i1.392

Abstract

Diabetes mellitus represents a chronic metabolic disorder that occurs when glycemic concentrations exceed normal levels. The use of natural ingredients such as avocado leaves (Persea americana) is an option due to the abundance of bioactive compounds that have antidiabetic potential. This article was written to present information and understanding related to the pharmacological activity of avocado leaves as an antidiabetic. It was compiled using a comparative review method based on data-driven literature searches. Based on the results of studies that have been conducted, it is known that avocado leaves have potential as an antidiabetic agent. In vivo studies show that avocado leaf extract can significantly lower blood sugar levels and regenerate the pancreas. In vitro studies reinforce the in vivo findings by showing high antioxidant activity (91.03%) and high α-amylase enzyme inhibition (88.95%), which is almost equivalent to acarbose. In addition, preliminary clinical studies show an improvement in glycemic levels in type 2 DM in humans that received avocado leaf decoction. Overall, avocado foliage extract shows great promising effects as an antidiabetic agent through various mechanisms, such as antioxidant activity, inhibition of glucose absorption enzymes, and regeneration of organs such as the pancreas and kidneys.
Development of a Raw Water Quality Detection System Prior for Municipal Drinking Water Treatment and Sustainable Environmental Management Fatwasauri, Icha; Fitriyanto, Indra; Khoerun, Bobi; Amri, Fauzan; Yassar, M. Rayhan; Wahyudin; Heri
Gema Lingkungan Kesehatan Vol. 24 No. 1 (2026): Gema Lingkungan Kesehatan (on progress)
Publisher : Poltekkes Kemenkes Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36568/gelinkes.v24i1.420

Abstract

Variations in raw water quality can reduce the effectiveness of municipal drinking water treatment processes, making early-stage monitoring prior to treatment essential for sustainable environmental management. This study aims to develop and validate a raw water quality detection system based on an ESP32 microcontroller for real-time measurement of pH, temperature, and turbidity. The research employed an engineering Research and Development (R&D) approach, including system design, sensor calibration, laboratory testing, and field validation. The study was conducted from January to March 2025 in Indramayu Regency, Indonesia, with field testing carried out on river water, seawater, rainwater, and groundwater sources. Measurement accuracy was evaluated by comparing sensor readings with laboratory reference instruments, and accuracy values were calculated based on percentage error and correlation analysis. The results show that the system achieved accuracy levels between 96% and 98%, with correlation coefficients (R²) greater than 0.9, indicating strong agreement with reference measurements. River water exhibited the highest turbidity value (86.4 NTU), while rainwater showed the lowest pH value (6.3), reflecting distinct environmental characteristics of each water source. Overall, the developed system demonstrated stable performance under real environmental conditions and can function as a low-cost and reliable early detection tool for raw water quality prior to treatment, with potential to support sustainable water resource management.
System Dynamics Modelling of Population Growth and Waste Management Landfill Capacity Sustainability in Palangka Raya Perkasa, Petrisly; Sigin, Wiratno Y; Permanasuri, Ni Putu Diah Agustin; Aguswan, Yusuf; Siahaan, Airways Parlindungan; Ovany, Riska
Gema Lingkungan Kesehatan Vol. 24 No. 1 (2026): Gema Lingkungan Kesehatan (on progress)
Publisher : Poltekkes Kemenkes Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36568/gelinkes.v24i1.438

Abstract

This study analyzes the growing challenges of municipal solid waste management in Palangka Raya, driven by rapid population growth and limited landfill capacity. The research aims to develop an integrated dynamic system model combining population dynamics and waste management performance to project future conditions and evaluate policy interventions. Using a system dynamics approach, the study models population growth, household waste generation, landfill accumulation, and waste reduction strategies. Primary data were collected through field measurements of existing waste volumes and landfill capacities, while secondary data were obtained from official statistics and relevant reports. Model validation demonstrates high accuracy in projecting population growth, a key driver of increasing waste generation. Simulation results indicate that, under the current conditions, the Bukit Tunggal landfill will reach overload in 2018, revealing an unsustainable system. Moderate interventions produce minimal improvement, while an optimistic scenario delays landfill overload only until 2026. The findings demonstrate that achieving long-term landfill sustainability requires an extreme waste reduction strategy of at least 85% through significant enhancement of recycling, composting, and waste diversion efforts. The study concludes that incremental policies are inadequate to address the worsening waste crisis. Instead, a transformative shift toward high-performance waste processing and decisive policy intervention is essential to maintain landfill functionality and support sustainable urban development. The integrated model developed in this research provides a valuable tool for policymakers to design effective and long-term waste management strategies. 

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