Judul: Prediction Models for Pine Stand Biomass at Rehabilitation Area of Gunung Walat University Forest, Sukabumi, West Java
Abstrak: Kemampuan hutan untuk menyerap CO2 menurun akibat deforestasi dan degradasi hutan. Salah satu upaya untuk meningkatkan penyerapan CO2 adalah dengan merehabilitasi kawasan hutan yang terdegradasi, seperti yang dilakukan di Hutan Pendidikan Gunung Walat (HPGW). Penelitian ini bertujuan untuk mengembangkan model prediksi biomassa tegakan pinus di areal rehabilitasi HPGW. Variabel tegakan diukur di lapangan menggunakan 60 plot contoh yang ditetapkan secara sistematis di setiap areal tahun tanam. Variabel tegakan dianalisis menggunakan beberapa model regresi linier dan non linier. Hasil penelitian menunjukkan bahwa model terbaik pendugaan biomassa tegakan pinus (W, ton/ha) dengan umur tegakan (A, tahun) dan luas bidang tegakan (G, m2/ha) adalah W = 0,38 A0,953 G1,10 dengan nilai R2 sebesar 89,9% dan RMSE 3,02 ton/ha. Jika data umur tegakan dan luas bidang dasar tidak tersedia, maka model alternatif pendugaan biomassa tegakan pinus hanya dengan menggunakan diameter tegakan adalah W = 72,62 (exp (-17,14 / D)) dengan nilai R2 77,5% dan RMSE 4,45 ton/ha., The capability of forests to absorb CO2 decreases due to deforestation and forest degradation. One of the efforts to increase CO2 sequestration is rehabilitating degraded forest areas, such as practised in Gunung Walat University Forest (GWUF). This study was aimed to developed prediction models for pine stand biomass at the rehabiliation area of GWUF. Stand variables were measured in the field using 60 plots that were established systematically in every planting year area. The stand variables were analyzed using some linear and non-linear regression models. The results showed that the best model for estimating pine stand biomass (W, ton/ha) using stand age (A, year) and stand basal area (G, m2 /ha) was W = 0,38 A 0.953 G 1.10 with an R2 value of 89,9% and an RMSE of 3,02 ton/ha. When the stand age and basal area data were not available, an alternative model for estimating the pine stand biomass using stand diameter only was W = 72,62 (exp (-17,14 / D)) with an R2 value of 77,5% and an RMSE of 4,45 ton/ha.
Keyword: biomass, pine, prediction model, rehabilitation

Judul: Estimating Model of Standing Volume and Biomass of Gunung Walat Educational Forest, Sukabumi, West Java
Abstrak: Informasi volume dan biomassa tegakan pada Hutan Pendidikan Gunung Walat (HPGW) sangat penting untuk mendukung pengelolaan hutan lestari di HPGW. Penelitian ini bertujuan untuk memperoleh model-model penduga volume dan biomassa tegakan HPGW menggunakan peubah-peubah yang mudah diukur di lapangan. Peubah tegakan (yaitu diameter rata-rata, tinggi rata-rata, luas bidang dasar, volume, dan biomassa) diperoleh dari 91 plot contoh. Data dianalisis menggunakan fungsi linier dan non-linier untuk menduga volume dan biomassa tegakan. Hasil dari penelitian menunjukan bahwa model terbaik untuk menduga volume tegakan adalah model V = 0.914 G 1.258 dengan nilai R 2 adj sebesar 89.36%, dan untuk menduga biomassa tegakan adalah model W = 0.771 V 0.966 dengan nilai R 2 adj sebesar 95.22%. ketika peubah volume tidak tersedia, biomassa tegakan dapat diduga peubah luas bidang dasar menggunakan model alternatif W = 0.796 G 1.192 dengan nilai R 2 adj sebesar 85.40%., Information on stand volume and biomass at Gunung Walat Educational Forest (GWEF) is essential to support sustainable forest management in GWEF. This study was aimed to develop models for estimating the volume and biomass of GWEF’ stands using variables that can be measured in the field. The stand variables (i.e. mean diameter, mean height, basal area, volume, and biomass) were derived from the field measurement 91 sample plots. The data were analyzed by using linear and non-linear regression models to develop stand volume and biomass models. The results showed that the best model for estimating stand volume was V = 0.914 G 1.258 with an R2 adj value of 89.36%, while that for estimating stand biomass was W = 0.771 V 0.966 with an R2 adj value of 95.22%. When the stand volume data were not available, the stand biomass could be estimated from stand basal area using an alternative model of W = 0.796 G 1.192 with an R2 adj value of 85.40%.
Keyword: allometric models, carbon stocks, stand biomass, stand volume

Judul: Karakteritsik kimia dan organoleptik tablet effervescent putih telur bersitarasa lemon dengan konsentrasi effervescent mix yang berbeda
Abstrak: Egg is an animal origin food product which has high nutritional value especially protein. Cholesterol content of eggs is only found in egg yolk, on the other hand albumen does not countain cholesterol at all but high content of protein, so it can be used as a free cholesterol-protein sources. The application of albumen as egg instant drink effervescent tablet can be an alternative of protein source for people who need free-cholesterol diet. It can also become an egg product diversification.
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