Judul: Pengembangan stemmer berbasis kamus besar bahasa Indonesia
Abstrak: Although many studies have aimed to develop a stemmer for Indonesian language, there are still some issues that these studies have not been able to overcame, for example an issue concerning morphophonemic. Kamus Besar Bahasa Indonesia-Based Stemmer is a stemmer which can be used as one of the main components in an information retrieval system for documents written in Indonesian. The use of Kamus Besar Bahasa Indonesia (KBBI) as a base for stemming allows the stemmer to produce the appropriate stem according to Indonesian rule of forming derived words. All words contained in KBBI are compiled in a database and used as a reference in the stemming process. For every word that is going to be stemmed, a group of words that may be present in KBBI is formed. This group of words is formed by removing parts of word that may be known as affixes in Indonesian language. This research also conducts an analysis of Ridha Stemmer, which has been widely used by many information retrieval researches at IPB’s Computer Science Department. The analysis is limited only on the correctness of the produced stems. Both stemmers are evaluated by measuring the recall-precision values returned by the use of each stemmer in an information retrieval system. The analysis shows that Ridha Stemmer yields correct stems at 20.15% of total tokens, and 25.56% wrong stems. From the result of performance evaluation, it is obtained that the use of KBBI-Based Stemmer gives slightly higher average precision value than Ridha Stemmer, with values each 0.441 and 0.443. Keywords:
Keyword: information retrieval, stemmer, Kamus Besar Bahasa Indonesia

Judul: Sistem Pencarian Turunan Kata pada Al-Quran Menggunakan Light Stemming dan Clustering untuk Pembicara Bahasa Indonesia
Abstrak: Topics searching in the Holy Quran using word derivative is difficult task without arabic word morphology knowledge. Light stemming is stem extraction method that can replaces word derivative plays in topics searching. However, this method fail to removes infix so clustering method can be better hopefully. This research aims to build word derivative searching system using light stemming and clustering that appropriate with Indonesian speaker’s query. There are two types of query that accepted by the system that have 30 queries in each: Latin and Arabic script. Searching quality evaluation using Average Precision (AVP), Mean Average Precision (MAP), and Precision at N shows that light stemming is better than clustering with 0.30 AVP in light stemming and 0.03 AVP in clustering. Whereas for running time, light stemming is four time faster than clustering at Arabic script.
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Judul: Pembuatan Film Tipis Cu2ZnSnS4 sebagai Lapisan Penyerap Cahaya pada Sel Surya Menggunakan Metode Elektrodeposisi
Abstrak: Thin film of Cu2ZnSnS4 (CZTS) is an alternative semiconductor used as light absorber layer on solar cell. CZTS can replace silicon that commonly used as commercial semiconductor. The advantage of using CZTS as absorber layer is due to the abundance of its chemical composer on earth, and its high value of absorption coefficient. The absorber layer was made by using electrodeposition method on ITO glass substrates. The films were deposited at room temperature using potentiostatic mode with a potential of –1.05 V for 30, 45, and 60 minutes. After that, the films were annealed at two different temperatures, 180 ºC and 500 °C, for 45 minutes in N2/H2S atmosphere. Based on X-ray diffraction analysis, the polycrystalline thin film obtained fall into kesterite crystal phase. This type of crystal was obtained when the CZTS was annealed at 500 °C in H2S/N2 atmosphere. The value of optical band gap energy for the CZTS thin film was 2.2 eV with the film thickness about 1.228–6.366 μm. The sample of CZTS with electrodeposition time of 45 minutes and annealing temperature of 500 °C showed the best result and in conformity with absorber layers criteria for solar cells.
Keyword: semiconductor, ITO glass, CZTS thin film, electrodeposition