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Program Edukasi Zero Waste pada Limbah Dapur dan Food Safety dalam Proses Produksi UMKM Suryanti, Suryanti; Rudiyanti, Siti; A'in, Churun; Aulia, Namira; Alfizhari, Ananda Erza Putra
Jurnal Pengabdian Masyarakat Inovasi Indonesia Vol 1 No 1 (2023): JPMII - Oktober 2023
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jpmii.269

Abstract

Program pengabdian masyarakat ini berupa edukasi zero food waste dan food safety pada proses produksi pangan dalam UMKM. Diperkirakan sepertiga hingga separuh sampah pada Tempat Pembuangan Akhir (TPA) berasal dari sektor makanan. Tumpukan sampah tersebut mengeluarkan gas rumah kaca serta air lindi atau air hujan yang terkontaminasi sampah yang memperburuk kualitas dan keamanan tanah dan air. Hal tersebut dapat memengaruhi sistem pangan dan menganggu kesehatan. Kegiatan pengabdian pada masyarakat ini bertujuan untuk meningkatkan pengetahuan pengelolaan limbah sisa dapur dan kebersihan keamanan pangan melalui penyuluhan berupa edukasi zero waste dan food safety diharapkan dapat meningkatkan kesadaran dan pengetahuan masyarakat mengenai pengelolaan limbah sisa dapur dan kebersihan keamanan pangan pada proses produksi UMKM Desa Tapak, Tugurejo Semarang. Kegiatan pengabdian masyarakat dilaksanakan di UMKM Putri Tirang, Kelurahan Tugurejo, Kecamatan Tugu, Kota Semarang.
Evaluation of Mental Health Services: Family Experiences, Stigmatization, Health Cadres Schizophrenia in Semarang City Aulia, Namira; Raharjo, Bambang Budi; Widowati, Evi
Public Health Perspective Journal Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/phpj.v9i3.30487

Abstract

Schizophrenia is the most common mental illness, with prevalence of 1.7 million in Indonesia. In 2020, 58.9% of patients with schizophrenia in Indonesia received services. This means that 41.1% of patients with schizophrenia, haven’t received comprehensive services. Central Java has a 9.8% prevalence of mental disorders and ranks fifth in terms of the highest number of schizophrenia patients. This will undoubtedly impact the quality of life for schizophrenia patients. The aim of this study is to evaluate mental health services, focusing on family experiences, stigmatization, and role of community health workers in schizophrenia cases in Semarang City. The research design used a qualitative descriptive phenomenological, employing in-depth interviews and purposive sampling, along with triangulation from several informants, including the experiences of families of people with mental disorders, cadres staff, and collaboration with the Social Affairs Department. Data analysis techniques used thematic analysis based on the CIPP model, using NVivo 15 software. The results showed that mental health services in Semarang had a positive impact on schizophrenia. However, there is still need to strengthen aspects of resources, cross-sector involvement, and anti-stigma strategies. Sustained collaborative interventions are needed to ensure the holistic quality of life for patients and their families.
Analisis Distribusi Karakteristik Sampah Laut Menggunakan Unmanned Aerial Vehicle (UAV) di Pantai Pulau Gili Ketapang, Kabupaten Probolinggo, Jawa Timur: Analysis of Marine Debris Distribution Characteristics Using Unmanned Aerial Vehicles (UAV) at Gili Ketapang Island Beach, Probolinggo Regency, East Java Setyoningrum, Desy; Samsu Rijal, Seftiawan; Aulia, Namira; Rumantya, Matthew Adi Bekti
Water and Marine Pollution Journal: PoluSea Vol. 3 No. 1 (2025): Water and Marine Pollution Journal: PoluSea April 2025
Publisher : Faculty of Fisheries and Marine Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.polusea.2025.003.01.2

Abstract

Indonesia menempati posisi kedua setelah China sebagai penyumbang sampah terbesar di dunia. Sampah laut berdampak merugikan pada lingkungan, ekosistem, dan manusia. Penelitian ini bertujuan menganalisis distribusi dan karakteristik sampah laut di Pantai Pulau Gili Ketapang, Kabupaten Probolinggo. Metode yang digunakan meliputi pengambilan sampel manual dengan transek berukuran 5 × 5 m dan 1 × 1 m untuk mendapatkan data rinci mengenai jenis dan jumlah sampah, serta analisis citra Unmanned Aerial Vehicle (UAV)/Drone untuk memetakan distribusi sampah dalam cakupan area yang lebih luas. Hasil menunjukkan distribusi sampah laut bervariasi, dengan di Stasiun 3 memiliki kelimpahan sampah tertinggi dengan 38,91 item/m² untuk sampah makro dan 1,67 item/m² untuk sampah mega, yang dipengaruhi oleh aktivitas perikanan dan pelabuhan dan terendah di Stasiun 2 (0,91 item/m² untuk makro dan 0,10 item/m² untuk mega). Sampah plastik mendominasi dengan persentase 69,36%, terutama plastik sekali pakai. Penggunaan UAV/Drone terbukti efektif dalam memetakan distribusi spasial sampah laut secara luas, sementara sampling manual memberikan informasi lebih rinci mengenai jenis sampah. Integrasi kedua metode ini menghasilkan analisis yang lebih komprehensif dalam memahami pola persebaran sampah laut.   Indonesia ranks second after China as the largest contributor to marine debris globally. Marine debris has detrimental impacts on the environment, ecosystems, and human life. This study aims to analyses the distribution and characteristics of marine debris on the coast of Gili Ketapang Island, Probolinggo Regency. The methods used include manual sampling with transects measuring 5 × 5 m and 1 × 1 m to obtain detailed data on the types and quantities of debris, as well as Unmanned Aerial Vehicle (UAV)/Drone imagery analysis to map the debris distribution over a broader area. The results indicate that marine debris distribution varies, with the highest abundance at Station 3, recording 38.91 items/m² for macro debris and 1.67 items/m² for mega debris, influenced by fishing activities and the presence of a harbour, while the lowest was found at Station 2 (0.91 items/m² for macro and 0.10 items/m² for mega debris). Plastic waste dominated, accounting for 69.36%, primarily consisting of single-use plastics. The use of UAV/Drone proved effective in mapping the spatial distribution of marine debris on a large scale, while manual sampling provided more detailed information on debris types. The integration of both methods resulted in a more comprehensive analysis of marine debris distribution patterns.