Judul: Pemanfaatan Limbah Tanaman Nanas (Ananas cosmocus Merr) sebagai Kertas Seni
Abstrak: The objectives of this research were to determine the effect of solvent concentration and cooking time to yield, kappa number, and delignification selictivity, to determine the best condition based on kappa number and delignification selectivity, to determine the effect of pineapple leaf fiber and HVS pulp composition to physical and mechanical properties, and to determine the best composition based on physical and mechanical properties. In this research, the solvent used in the pulping are NaOH and CaO with four concentration level (10%, 15%, 20%, dan 25%) and two cooking time level (1 hour dan 2 hour). The result of Anova showed concentration factor significantly affect to chemical properties of pulp. The pulp yield, kappa number, and delignification selectivity obtained from NaOH consecutively, i.e 63,26 – 73,14%; 13,243 – 21,982; and 34,072 – 57,230 while the pulp yield, kappa number, and delignification selectivity obtained from CaO consecutively, i.e 75,22 – 88,88%; 18,123 – 20,902; and 35,801 – 41,378. The research result, the best of kappa number and delignification selectivity obtained from NaOH 20% cooking time 1 hour and CaO 10% cooking time 1 hour. Pulp that has been obtained is then combined with HVS pulp in 100:0, 75:25, and 50:50. Grammage, tensile index, and tear index from NaOH paper consecutively, i.e 90,995 – 113,4 g/m2; 1,899 – 4,172 Nm/g; and 1,079 x 10-3 – 1,941 x 10-3 Nm2/g while grammage, tensile index, and tear index from CaO paper consecutively, i.e 55,64 – 64,4 g/m2; 0,785 – 2,254 Nm/g; dan 1,077 x 10-3 – 1,744 x 10-3 Nm2/g. Paper with 100% pineapple leaf fiber from NaOH and paper with 50% pineapple leaf fiber from CaO had better mechanical properties than other combination.
Keyword: Bogor Agricultural University (IPB), pineapple leaf fiber, HVS paper, combination, art paper

Judul: Pemanfaatan Serat Pisang Abaka (Musa textilis Nee) dan Kertas HVS Sebagai Kertas Seni
Abstrak: The purposes of this study are to know the influence of solvent concentration and pulping time toward the yield, kappa number, delignification selectivity,and acid level, determine the best combination experiment of NaOH and CaO based on delignification selectivity and recognize the mechanical properties of art paper. Alkali Pulping process was differentiated into two kinds of solvent (NaOH 8-12 % and CaO 13-17 %) which were pulped in ratio of material and solvent (1:6), pulping time (45 minutes and 60 minutes), and the temperature of 170oC. Using concentration of NaOH had kappa index valued 0.82-1.57, while CaO had 2.03-2.54. Using NaOH had delignification selectivity valued 62.90-120.55, while CaO had 38.49-48.24. However, the yield of CaO had a better property (76.94-84.87%), while NaOH had (60.19-71.71%). Based on experiment, NaOH 12% and CaO 17% with an hour pulping time (Na3T2 dan Ca3T2) had a better delignication selectivity which was considered as the best combination experiment and showed the better cellulose purity and lignin delignification intensity. The mechanical properties showed that Na3T2 had a better tensile and tear resistance (70.66 kN/m and 2434.90 mN) over Ca3T2 (50.87 kN/m and 1635.57 mN)
Keyword: solvent, pulping time, art paper, abaca

Judul: Implementation of Spatio-Temporal Change Query in Relational Database.
Abstrak: Geographic object changes in various views. Object changes are recorded using a model of static storage. No historical connection between old version data and new version data has been built. For that, a storage model of spatio-temporal queries that can analyze spatio-temporal changes has been developed. The object changes the geometry are grouped according to the taxonomy of Spatio-Temporal Pattern Change. This research has been able to apply the query patterns change including born, expand, merge, contract, split, normal and die. This query based on geometric (area) changes. The implementation of spatio-temporal change queries represents an object changes continuously with easy, change detection is done by comparing two versions of data. Keyword: spatio-temporal change query, spatio-temporal change pattern.
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