Faculty of Agriculturehttps://repository.unri.ac.id/handle/123456789/532024-03-29T02:03:37Z2024-03-29T02:03:37ZPendugaan Kandungan Karbon Di Atas Permukaan Tanah Pada Kawasan Arboretum Universitas RiauPratamasari, RickySribudiani, EviSulaeman, Rudiandahttps://repository.unri.ac.id/handle/123456789/79232016-02-10T19:02:49Z2016-02-10T00:00:00ZPendugaan Kandungan Karbon Di Atas Permukaan Tanah Pada Kawasan Arboretum Universitas Riau
Pratamasari, Ricky; Sribudiani, Evi; Sulaeman, Rudianda
Forests be able to absorb carbon dioxide (CO2) and convert it into carbohydrates in the form of carbon and saved it in biomass components of forest. Arboretum area is one of forest area, which is around the Riau University, has the potential of biomass carbon saved in the constituent components. This research aimed to obtain information about the value of the carbons potential in the above ground at arboretum area of Riau University. The carbons potential at the area is one of the benefits of ecosystem services that have economic value, so its existence worthy of attention. Techniques of data collection was done by using the method purposive sampling or transect lines. Above ground biomass estimation was done by summing the biomass of litter, seedlings, undergrowth, saplings, poles and trees. Biomass of saplings, poles and trees was estimated by employing Ketterings et al., (2001). Biomass of litter, seedlings and undergrowth was estimated by employing Indonesian National Standard (SNI 7724: 2011). Value of carbon saved is 0,47 of the biomass. The research results showed that the carbon potential at arboretum area of Riau University is 58,45 ton/ha.
2016-02-10T00:00:00ZSIFAT PENGERJAAN KAYU MERANTI MERAH (Shorea leprosula Miq.) DAN KAYU JELUTUNG (Dyera polyphylla Miq.) UNTUK BAHAN BAKU MEUBELUtama, Angga PrayogaSulaeman, RudiandaSribudiani, Evihttps://repository.unri.ac.id/handle/123456789/79222016-02-10T19:02:18Z2016-02-10T00:00:00ZSIFAT PENGERJAAN KAYU MERANTI MERAH (Shorea leprosula Miq.) DAN KAYU JELUTUNG (Dyera polyphylla Miq.) UNTUK BAHAN BAKU MEUBEL
Utama, Angga Prayoga; Sulaeman, Rudianda; Sribudiani, Evi
Woodworking aims to convert the solid wood or wood products wooden panels into useful, valuable and high aesthetic through a series of processes. Shorea leprosula Miq. and Dyera polyphylla Miq. wood is a popular wood in the wood trade and also the production of furniture, but it is not known defect-free value and quality classification of the wood. research needs to be done about the trait of the wood working to determine the defect-free value contained in the wood processing using the techniques of woodworking and properties determined using woodworking class assessment tables. Research method based on ASTM (American Standard Testing and Materials) D-1666-87 (1999), with materials and equipment available. Shorea leprosula Miq. and Dyera polyphylla Miq. wood has a excellent grade in the class woodworking, either defective fiber fluffy, fiber fractures, scratches, scars tear that is classified in 1st class with the average value of damage is not more than 20% of the specimen defects
2016-02-10T00:00:00ZAnalisa Harga Jual Kayu Akasia Berdasarkan Pendekatan Biaya Produksi Pembangunan Hutan Tanaman IndustriRefdanil, NurcanEvi, SribudianiSudarmalikhttps://repository.unri.ac.id/handle/123456789/57012014-02-25T19:08:46Z2014-02-25T00:00:00ZAnalisa Harga Jual Kayu Akasia Berdasarkan Pendekatan Biaya Produksi Pembangunan Hutan Tanaman Industri
Refdanil, Nurcan; Evi, Sribudiani; Sudarmalik
The low of price Acacia log is caused by coorperative operation between plantation forest with forest product industry in implementation on Permenhut P.29/2012. The aims of the study were to know: determinant factors and cost production of Acacia mangium and Acacia crassicarpa plantation forest, the price of A. mangium and A. crassicarpa log based by cost production, and the financial analysis of plantation forest used the price log based on production cost of plantation forest and actual price of log Acacia. Reasearch is conducted in Arara Abadi Company in Distric of Rasau Kuning and Pusaka. Data analysis is used production cost of plantation forest at 3th and 4th rotation are land clearing, seedling, planting, weeding, harvesting, tansporting and potential stands. This data used to find the price of Acacia log in industry. The actual price of Acacia in market was got from interview. Data analysis used the financial analysis by parameters Net Present Value, Benefit Cost Ratio, and Internal Rate of Return. The assumtion of study used interest rate (15%) and plantation forest bussines (5 years). The result of study showed that the determinant factors are purchasement of seed, land potential, salary of planting, salary of over cultivate take, salary of wood cut and cost carry to pile place of log and salary of cultivate KCa. The production cost and the log price of A. crassicarpa plantation forest is higher than A. mangium. The plantation forest is financially feasible but happenned to decrease to the next rotation.
2014-02-25T00:00:00ZPemilihan Kriteria Seleksi Untuk Perakitan Cabai (Capsicum annuum L) di Lahan GambutHarry, SugestiadiNurbaitiDevionahttps://repository.unri.ac.id/handle/123456789/56292014-04-04T03:46:32Z2014-02-18T00:00:00ZPemilihan Kriteria Seleksi Untuk Perakitan Cabai (Capsicum annuum L) di Lahan Gambut
Harry, Sugestiadi; Nurbaiti; Deviona
The objective of the research was to determine about information the choice of selection criteria on chile varieties assembly in peatland. The research used Randomized Block Design (RBD) consisted of 20 treatments with three replications. The treatment consisted of 20 genotypes of chili that is genotype C2, C120, C51, C111, C105, C117, C118, C157, C159, F5110005-91-13-5, F5110005-91-13-12, F8002005-2-9-12-1, C140, C5, C18, C19, C143, F512005-5-11-1, C145 and C160. The data were analyzed by analysis of variance, further test DNMRT at 5% level and Pearson’s correlation. Parameters observed were: the age of flower appearance, height dichotomous, plant height, stem diameter, canopy width, leaf length, leaf width, age of harvest, fruit length, fruit stalk length, fruit diameter, weight per fruit and weight of fruit per plant. The results showed that there is a positive correlation between the parameters of weight per fruit, fruit length, fruit stalk length, leaf width and leaf length to weight of fruit per plant.C143 is a genotype that has the highest value of weight per fruit. Genotype C111 has the highest value of fruit lenght and fruit stalk length. Genotype C51 has the highest value of leaf width and genotype F5110005-91-13-12 has the highest value of leaf length.
2014-02-18T00:00:00Z