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KARAKTERISTIK PETANI DAN KONTRIBUSI EKONOMI HUTAN KEMASYARAKATAN TERHADAP PENDAPATAN PETANI DI KPH TANAH LAUT Prasetyo, Agung; Helmi, Muhammad; Rinakanti, Rinakanti
Jurnal Sylva Scienteae Vol 7, No 6 (2024): Jurnal Sylva Scienteae Vol 7 No 6 Edisi Desember 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v7i6.9805

Abstract

The social forestry program will undoubtedly have an impact on society, and each HKm in Indonesia provides varying contributions, just like in the KPH Tanah Laut. This research aims to identify the Characteristics of Forest Farmer Groups (KTH) in the Tanah Laut Forest Management Unit (KPH) and to analyze the contribution of Community Forests to forest farmers' income in the Tanah Laut KPH. The determination of respondent samples was intentionally done with the criteria being active members of KTH. The total number of respondents in this research was 56 respondents, calculated using the Slovin formula with a margin of error of 10%. The results of this research indicate that the Farmers' characteristics in KTH Kariya Jaya, KTH Harapan Baru, KTH Ingin Maju, and KTH Suka Maju consist of 85% male and 15% female. The average age of KTH members is above 51 years old. On average, they have an educational level of elementary school (SD) with 49.6%. The average number of dependents is 2 people. On average, KTH members manage land with an area of 0.5 hectares. The average occupation of KTH members is as private employees. The economic contribution of HKm in KTH Kariya Jaya accounts for 38%. The economic contribution of HKm in KTH Harapan Baru accounts for 55.2%. The economic contribution of HKm in KTH Ingin Maju accounts for 42.3%. The economic contribution of HKm in KTH Suka Maju is 46.9%.Program Perhutanan sosial sejatinya pasti akan memberikan dampak kepada masyarakat, setiap HKm di Indonesia memberikan kontribusi yang berbeda-beda sama halnya di KPH Tanah Laut. Penelitian ini bertujuan untuk Mengidentifikasi Karakteristik Kelompok Tani Hutan (KTH) di Kesatuan Pengelolaan Hutan (KPH) Tanah Laut, dan Menganalisis kontribusi Hutan Kemasyarakatan terhadap pendapatan petani hutan di KPH Tanah Laut. Penentuan sampel responden dilakukan secara sengaja dengan ketentuan sebagai anggota KTH yang aktif. Jumlah responden pada penelitian ini sebanyak 56 responden yang dihitung menggunakan rumus slovin dengan galad 10%. Hasil dari penelitian ini Karakteristik petani di KTH Kariya Jaya, KTH Harapan Baru, KTH Ingin Maju dan KTH Suka Maju memiliki Rasio Jenis Kelamin 85% laki-laki dan 15% berjenis kelamin perempuan. Umur rata-rata anggota KTH 51 tahun keatas. Rata-rata tingkat pendidikan SD 49,6%. Rata-rata memiliki tanggungan keluarga 2 orang. Rata-rata anggota KTH mengelola lahan seluas 0,5 ha. Pekerjaan anggota KTH rata-rata sebagai karyawan swasta. Kontribusi ekonomi HKm di KTH Kariya jaya sebesar 38%. Kontribusi ekonomi HKm di KTH Harapan Baru sebesar 55,2%. Kontribusi ekonomi HKm di KTH Ingin Maju sebesar 42,3%. Kontribusi ekonomi HKm di KTH Suka Maju adalah sebesar 46,9%.
P Pelatihan Pembuatan Minuman Kesehatan dari Tumbuhan Obat untuk Pemberdayaan Ibu-ibu Yasinan: Training on Making Health Drinks from Medicinal Plants for the Empowerment of Yasinan Mothers Rezekiah, Arfa Agustina; Fithria, Abdi; Hafizianor, Hafizianor; Syam’ani, Syam’ani; Asysyifa, Asysyifa; Indrayatie, Eko Rini; Rinakanti, Rinakanti; Ruslan, Muhammad
Kayuh Baimbai: Jurnal Pengabdian Masyarakat Vol 2 No 1 (2025): Januari : Kayuh Baimbai : Jurnal Pengabdian Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) Universitas Nahdlatul Ulama Kalimantan Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69959/kbjpm.v2i1.68

Abstract

This training aims to increase the knowledge and skills of yasinan women in Kiram Village to make health drinks made from medicinal plants. Activities are carried out using lecture, demonstration and direct practice methods which are designed to provide interactive and applied learning so that participants can understand in depth the process of making health drinks and apply it independently. The evaluation results show an increase in understanding of knowledge and technology by 16.78%, meaning the successful transfer of knowledge and skills by the implementing team. In this training, there are three types of health drinks that are most popular, namely healthy turmeric and sour, healthy kencur rice, and healthy turmeric and sour plus ginger because they are easy to make, have a popular taste, and have high health benefits.  Apart from improving skills, this activity is also expected to open up economic opportunities for yasinan mothers through the production and sale of natural-based health drinks. This training supports the development of community-based small businesses that can increase family income by utilizing local medicinal plants. This training contributes to efforts to create independent villages in the health sector and improve the quality of life of the community as a whole. It is hoped that the continuation of this program will have a wider positive impact, both from the social, economic and health aspects of the Kiram Village community. This program can also be a model for community empowerment that can be replicated in other villages.
ESTIMASI CADANGAN KARBON MENGGUNAKAN METODE KLASIFIKASI NDVI DENGAN CITRA SENTINEL-2 DI KAWASAN HUTAN DENGAN TUJUAN KHUSUS UNIVERSITAS LAMBUNG MANGKURAT Zen, Muhammad Arif Hafizh; Jauhari, Ahmad; Rinakanti, Rinakanti
Jurnal Sylva Scienteae Vol 8, No 3 (2025): Jurnal Sylva Scienteae Vol 8 No 3 Edisi Juni 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v8i3.15922

Abstract

Forests in some parts of the Special Purpose Forest Area of Lambung Mangkurat University (KHDTK ULM) are experiencing intentional or unintentional deforestation, including forest fires that cause carbon dioxide emissions and potentially contribute to global warming. To overcome this, this study aims to estimate and analyze the amount of carbon stored in KHDTK ULM using the Normalized Difference Vegetation Index (NDVI) value from the Sentinel-2 imagery. A total of 47 sample points were used in this study to build a regression model. The data collected involved trunk diameter, height of stake, pole, and tree growth, as well as dry weight for seedling, undergrowth, and litter. The results showed that carbon stocks in KHDTK ULM amounted to 30,434,777 kg or equivalent to 30,434,777 tons, covering an area of 1576.93 ha with various land cover classes based on NDVI values. The correlation between the value of NDVI and carbon stocks produces a linear equation of 469.08x - 121.18 with a correlation coefficient (R2) value of 0.7. A correction factor of 469.08 and an NDVI coefficient of 121.18 contribute to this equation. The Root Mean Square Error (RMSE) value of this model is 56.369, equivalent to 1.77% of the observed carbon potential. This research emphasizes the importance of monitoring and understanding carbon stocks in forest areas, providing valuable insights for sustainable forest management and global warming mitigation effortsHutan di beberapa bagian Kawasan Hutan Dengan Tujuan Khusus Universitas Lambung Mangkurat (KHDTK ULM) mengalami deforestasi yang disengaja atau tidak disengaja, termasuk kebakaran hutan yang menyebabkan emisi karbon dioksida dan berpotensi menyumbang pada pemanasan global. Untuk mengatasi hal ini, penelitian ini bertujuan untuk memperkirakan dan menganalisis jumlah karbon yang tersimpan di KHDTK ULM dengan menggunakan nilai Normalized Difference Vegetation Index (NDVI) dari citra Sentinel-2. Sebanyak 47 titik sampel digunakan dalam penelitian ini untuk membangun model regresi. Data yang dikumpulkan melibatkan diameter batang, tinggi pertumbuhan pancang, tiang, dan pohon, serta berat kering untuk pertumbuhan semai, tumbuhan bawah, dan seresah. Hasil penelitian menunjukkan cadangan karbon di KHDTK ULM sebesar 30.434.777 kg atau setara dengan 30.434.777 ton, meliputi luas wilayah 1576,93 ha dengan berbagai kelas tutupan lahan berdasarkan nilai NDVI.Korelasi antara nilai NDVI dan cadangan karbon menghasilkan persamaan linier 469,08x - 121,18 dengan nilai koefisien korelasi (R2) sebesar 0,7. Faktor koreksi sebesar 469,08 dan koefisien NDVI sebesar 121,18 merupakan kontribusi terhadap persamaan ini. Nilai Root Mean Square Error (RMSE) dari model ini adalah 56,369, setara dengan 1,77% dari potensi karbon yang diamati. Penelitian ini menekankan pentingnya pemantauan dan pemahaman cadangan karbon di kawasan hutan, memberikan wawasan berharga untuk pengelolaan hutan berkelanjutan dan upaya mitigasi pemanasan global.