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Analysis of Vegetation Analysis in The existing Areas Around in The Landslides in The City of Palopo Dewi Marwati Nuryanti; Liana Baharuddin; Witno witno; Andang Suryana Soma; Asriyanni Asriyanni; Srida Mitra Ayu
Jurnal Penelitian Kehutanan BONITA Vol 4, No 2 (2022): DESEMBER 2022
Publisher : Universitas Andi Djemma Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55285/bonita.v4i2.1653

Abstract

The composition and structure of vegetation is one of the parameters that must be considered in forest planning activities. It can also be defined that the structure of vegetation as a result of spatial planning by the components of the stand and the life form of the vegetation which is described through the conditions of diameter, height, distribution in space, canopy diversity, and species continuity. In order to be able to withstand the occurrence of landslides, especially those in sloping areas, it is very important to analyze the vegetation to determine the composition and structure of vegetation types so that the forest is maintained (Fahrul, 2007). The purpose of this study was to determine vegetation in the existing area around the landslides in Palopo city. Research methods. The method of determining plots is purposive sampling, to find out vegetation and tree classification based on the growth rate of the method, namely by making observation plots and placing them by census at the top of 12 landslide points with a size of 20 m x 20 m for trees, 10 m x 10 m for poles, 5 m x 5 m for saplings and 2 m x 2 m for seedlings. The results obtained for the growth rate of trees found 35 species with the highest IVI Litsea sp 95.94%, the growth rate of poles found 28 species with the highest IVI Litsea sp 71.15%, the growth rate of saplings found 62 species with the highest IVI Cinnamomum camphora 45.62 %, and the level of seedlings found 51 species with the highest IVI Nephrolepis cordifolia 40.78%. The biodiversity index found a sapling growth rate with the highest H' value of 3.41 in the high species diversity category. Likewise the highest evenness index on saplings with an E' value of 0.59 is in medium level of evenness.
PENINGKATAN KAPASITAS KELOMPOK TANI HUTAN GOLLANA SANGTANDUNG DALAM PENGOLAHAN NIRA AREN MENJADI GULA SEMUT (GULA GRANULAR ) Witno Witno; Yumna Yumna; Dewi Marwati Nuryanti; Maria Maria
Jurnal Abdi Insani Vol 9 No 4 (2022): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v9i4.785

Abstract

One of the products that can be created from the micro industry is processing palm sap into granulated sugar, commonly known as ant sugar. In the forestry sector, sugar palm is one of the plants included in the category of Non-Timber Forest Products. NTFPs are non-timber forest products that have economic value and benefit many people. This activity aims to determine the capacity of forest farmer groups in processing palm sap into palm sugar using modern technology in the form of crystallite and sorting machines. The methods used are socialization, counselling and using tools for the product packaging. The result of this activity is that public knowledge regarding processing palm sugar using modern technology is still lacking and not used to it. After practising the use of tools accompanied by a team and technicians, community knowledge of the use of modern technology tools in the form of Crystallator and Sorting machines also increased from not knowing to know. Likewise, in terms of product packaging, people who initially used ordinary tools and even used leaves have now expanded to tofu and can use modern packaging tools. However, it is necessary to provide continuous assistance. This activity concludes that the community has been able to use modern tools and package products properly even though they still need help for marketing and stock.
Analisis Risiko Rantai Pasok pada Industri Pengolahan Sagu Basah di Desa Bunga Eja dengan Metode Supply Chain Operation Reference (SCOR) dan House of Risk (HOR): Analysis of Supply Chain Risk in the Sago Processing Industry in Bunga Eja Village Using the Method Supply Chain Operation Reference (SCOR) and House of Risk (HOR) Sumantri Sumantri; Dewi Nuryanti Marwati
Perbal: Jurnal Pertanian Berkelanjutan Vol. 11 No. 3 (2023): Perbal: Jurnal Pertanian Berkelanjutan
Publisher : Fakultas Pertanian Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/perbal.v11i3.2959

Abstract

Tujuan penelitian ini untuk mengidentifikasi rantai pasok yang terjadi pada industri pengolahan sagu basah dengan menggunakan metode Supply Chain Operation Reference (SCOR) dan untuk menganalisis risiko dengan melakukan penilaian risiko rantai pasok pada industri pengolahan sagu basah dengan menggunakan metode House of Risk (HOR). Penelitian ini dilaksanakan di Desa Bunga Eja Kecamatan Kamanre Kabupaten Luwu pada bulan Juli – Agustus 2023. Teknik analisis data menggunakan metode Supply Chain Operation Reference (SCOR) dan House of Risk (HOR). Hasil penelitian menunjukkan bahwa terdapat sembilan belas risk event dan dua puluh satu risk agent pada risiko rantai pasok yang terjadi pada industri pengolahan sagu basah. Hasil analisis risiko rantai pasok menunjukkan bahwa terdapat empat prioritas risk agent atau sumber penyebab risiko yakni (A8) kerusakan mesin dan peralatan produksi, (A10) ketersediaan air bersih untuk proses produksi, (A3) modal usaha masih kurang, dan (A2) bahan baku mulai berkurang. The purpose of this study is to identify the supply chain that occurs in the wet sago processing industry using the Supply Chain Operation Reference (SCOR) method and to analyze risk by conducting a supply chain risk assessment in the wet sago processing industry using the House of Risk (HOR) method. This research was conducted in Bunga Eja Village, Kamanre District, Luwu Regency from July to August 2023. Data analysis techniques used the Supply Chain Operation Reference (SCOR) and House of Risk (HOR) methods. The results showed that there were nineteen risk events and twenty one risk agents in the supply chain risk that occurred in the wet sago processing industry. The results of supply chain risk analysis show that there are four priority risk agents or sources of risk, namely (A8) damage to production machinery and equipment, (A10) availability of clean water for the production process, (A3) insufficient business capital, and (A2) raw materials starting to decrease.