Judul: Herb network construction for uncovering the combination rule of jamu formulae
Abstrak: Jamu merupakan sebutan untuk obat tradisional buatan Indonesia. Jamu dibuat berdasarkan pengalaman. Akan tetapi, meskipun berdasarkan pengalaman, jamu diyakini memiliki pola keteraturan antar tanaman sehingga apabila dikombinasikan dengan tanaman lain akan menghasilkan khasiat tertentu. Salah satu analisis untuk menentukan pola keteraturan antar tanaman adalah analisis jaringan dengan menggunakan distance-based mutual information model (DMIM) dan ukuran kedekatan Jaccard. Akan tetapi, metode DMIM memiliki kriteria yaitu data yang digunakan merupakan data urutan kepentingan tanaman dalam formula dan minimal ada satu formula yang menggunakan pasangan tanaman secara bersama-sama. Pada penelitian ini, data formula jamu yang digunakan tidak memenuhi kriteria tersebut sehingga perlu dilakukan modifikasi terhadap metode DMIM tersebut. Penerapan metode DMIM modifikasi untuk data formula jamu yang digunakan menghasilkan pasangan tanaman yang sama dengan metode Jaccard. Hasil analisis jaringan berdasarkan nilai Jaccard menghasilkan 8241 pasangan tanaman dan 60 gerombol. Setiap gerombol mencirikan sembilan kelompok khasiat tertentu. Kata Kunci: analisis jaringan, distance-based mutual information model (DMIM), gerombol, Jaccard., Jamu is a term for traditional medicines made in Indonesia. Jamu made based on experience. However, although based on experience, jamu believed to have a pattern of regularity between plants so if its combined will produce a certain efficacy. One of the analysis to determine the pattern of regularity between plants is network analysis based on distance-based mutual information model (DMIM) and Jaccard Similarity. But, DMIM method has criteria such as the data used is about sequence of plants and herb pairs should be used together at least in one formula. In this study, data of jamu formulae does not fulfil the criteria so it necessary to modify DMIM method. Application of DMIM method for data of jamu formulae produce the number of same herb pairs with Jaccard method. The results of network analysis based on Jaccard value produce 8241 herb pairs and 60 clusters. Each cluster has characteristics depend on nine certain efficacy. Key words : cluster, distance-based mutual information model (DMIM), Jaccard, network analysis.
Keyword: analisis jaringan, distance-based mutual information model (DMIM), gerombol, Jaccard

Judul: Prediksi Efikasi Jamu Berdasarkan Metabolit pada Tanaman Obat Menggunakan Deep Belief Network
Abstrak: Indonesia memiliki sekitar 30.000 dari total 40.000 tanaman tropis yang ada di dunia, dan 1000 spesies diantaranya dijadikan bahan baku pembuatan jamu. Jamu adalah obat tradisional Indonesia yang dipercaya secara turun temurun dan biasanya dibuat dari campuran berbagai tumbuhan. Dengan banyaknya bahan yang bisa dibuat menjadi formula Jamu, maka perlu dibuat landasan saintifik untuk memberikan pengetahuan ilmiah mengenai Jamu. Tumbuhan sebagai bahan penyusun Jamu memiliki kandungan senyawa atau metabolit yang berbeda-beda. Penelitian ini melakukan klasifikasi khasiat Jamu berdasarkan kandungan metabolit. dengan tahapan penelitian meliputi pra-proses data, tuning parameter, pembuatan model, dan analisa hasil. SMOTE digunakan pada tahap pra-proses sebagai teknik untuk mengatasi imbalance data. Pada penelitian ini, dilakukan perbandingan hasil klasifikasi terhadap data yang tidak seimbang dengan data yang seimbang. Hasil yang didapat penelitian ini adalah model Deep Belief Network yang dibuat bekerja lebih baik pada data yang seimbang, dengan akurasi 75.25%. Sedangkan untuk data yang tidak seimbang, akurasi yang didapatkan adalah 62.68%, Indonesia has about 30,000 of the total 40,000 tropical plants in the world, and 1000 species of which are used as raw materials for herbal medicine. Jamu is a traditional Indonesian medicine that is passed down from generation to generation and is usually made from a mixture of various plants. With so many ingredients that can be made into Jamu formulas, it is necessary to create a scientific basis to provide scientific knowledge about Jamu. Plants as ingredients for herbal medicine contain different compounds or metabolites. This study classified the efficacy of herbal medicine based on its metabolite content, with the research stages covering data pre-processing, parameters tuning, models building, and results analyzing. SMOTE is used in the pre-processing stage as a technique to overcome imbalance datasets. In this study, a comparison of the classification results was carried out on unbalanced data with balanced data. The result of this research is that the Deep Belief Network model is made to work better on balanced data, with an accuracy of 75.25%. As for the unbalanced data, the accuracy obtained is 62.68%.
Keyword: Deep Belief Network, Klasifikasi, Jamu, Metabolit, Obat Herbal, Classification, Deep Belief Network, Herbal Medicine, Jamu, Metabolite

Judul: Elektrodeposisi Film Tipis Semikonduktor Cu2ZnSnS4 (CZTS) pada Substrat Kaca ITO
Abstrak: Semiconductor Cu2ZnSnS4 (CZTS) thin film that can be used as absorber layers on solar cell module was made via electrodeposition method. CZTS thin film was electrodeposited on the surface of a silicate glass coated with a thin layer of indium tin oxide (ITO). Deposition process was done using potentiostatic mode at room temperature with a potential of 1.05 V for 30, 45, and 60 minutes, followed with annealing the film at 2 different temperatures, 500 ºC using furnace and 180 ºC using hot plate, both treatments for 45 minutes in N2/H2S atmosphere. The X-ray difractograms were analyzed using Match 2 program and showed that the CZTS thin films had kesterit crystalline structure, with a low percentage of CZTS phase. The thin film also contained secondary phases such as Cu2S, ZnS, and SnS. The obtained CZTS thin films had a thickness between 1.039 and 1.676 μm. Absorption study showed that the band gap energy of CZTS thin films which was annealed using furnace ranged from 1.50 to 1.52 eV, whereas that annealed using the hot plate was not observed. The band gap energy value showed that CZTS thin films can be used as sunlight absorber layers on solar cell. The formation of CZTS crystal film on this investigation was effectively performed using furnace annealing process at a temperature of 500 ºC with deposition time of 45 minutes.
Keyword: Thin film, Electrodeposition, Cu2ZnSnS4