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Yoghurt merupakan salah satu produk fermentasi yang menggunakan susu sebagai bahan dasar. Penelitian ini menggunakan bahan dasar susu nabati yang berasal dari kacang gude ekstrak umbi bit sebagai bahan tambahan. Tujuan penelitian ini adalah untuk menentukan rasio kacang gude kering dan ekstrak umbi bit yang tepat untuk menghasilkan yoghurt kacang gude yang mempunyai aktivitas antioksidan tinggi dan untuk menentukan tingkat penerimaan konsumen terhadap yoghurt kacang gude dengan penambahan ekstrak umbi bit. Rancangan percobaan yang digunakan yaitu Rancangan Acak Lengkap (RAL) dengan faktor pertama yaitu kacang gude kering sebesar 20%, 30%, 40% dan faktor kedua yaitu ekstrak umbi bit 5%, 10%, 15%. Analisis kimia yaitu analisis aktivitas antioksidan, gula total, protein, total asam, dan lemak. Analisis organoleptik yaitu warna, kekentalan, rasa asam, flavor kacang gude dan kesukaan keseluruhan. Hasil penelitian menunjukkan bahwa perlakuan 20% kacang gude kering dan ekstrak umbi bit 15% adalah perlakuan terbaik yang didasarkan pada kesukaan keseluruhan yang terdapat pada yoghurt. Dari komposisi tersebut terdapat aktivitas antioksidan DPPH 58,35%, kadar gula 2,77%, kadar protein 39,90%, total asam 1,17%, dan kadar lemak 0,19%. Sedangkan yoghurt yang memiliki aktivitas antioksidan tertinggi didapatkan pada komposisi 30% kacang gude dan ekstrak umbi bit 15% dengan nilai aktivitas antioksidan sebesar 65,23%. Pada perlakuan ini mengasilkan kadar gula 2,80%, kadar protein 46,96%, total asam 1,26%, dan kadar lemak 0,11%. Kata kunci: Kacang gude, ekstrak umbi bit, yoghurt, aktivitas antioksidan ABSTRACT Yogurt is one of the fermented products that used milk as a basic ingredient. This research used basic ingredients of vegetable milk derived from pigeon peas and used beet root extract as an additional material. The purpose of this study was to determine the ratio of dried pigeon peas to water and beet root extract that are appropriate for producing pigeon peas yogurt that had high antioxidant activity and to determine the level of consumer acceptance of pigeon peas yogurt with the addition of beet root extract. The experimental design used the Completely Randomized Design (CRD) with the first factor was dried pigeon peas of 20%, 30%, 40% and the second factor were beet root extract 5%, 10%, 15%. The chemical analysis was antioxidant activity, total sugar, protein, total acid, and total fat. Organoleptic analysis of color, viscosity, sour taste, flavor of pigeon peas and overall preference. The results showed that the combination treatment of 20% dried pigeon peas and 15% beet root extract was the best treatment. From the composition there is DPPH antioxidant activity 58,35%, 2,77% sugar content, 39,90% protein content, 1,17% total acid, and 0,19% fat content. Whereas yogurt with the highest antioxidant activity was found in the composition of 30% pigeon peas and 15% beetroot extract with antioxidant activity values of 65,23%. In this treatment yielded 2,80% sugar content, 46,96% protein content, 1,26% total acid, and 0,11% fat content. Keywords: Pigeon pea, beet root extract, yoghurt, antioxidant activity

Clove plant (Syzygium aromaticum. L) Is one of the plants known by the people in Bula village as a traditional medicine the leaves of cloves (Syzygium aromaticum folium) are often used as an alternative to cure stiff and rheumatic diseases such as causing pain due to excessive activity, so that it can be used as an active ingredient in making ointments The purpose of this study was to identify the chemical content of clove leaves (Syzygium aromaticum folium) from Bula village and to formulate a good and stable clove leaf ethanol extract ointment (Syzygium aromaticum folium) using a ratio of variations in the concentration of the Hydrocarbon Base. This research method is experimental which was carried out using a combination base of vaseline album: cera alba from three different formulations with a concentration ratio of F1 (76%: 10 %), F2 (71%: 15%), F3 (66%: 20%), each formulation contains 10% ethanol extract of clove leaf (Syzygium aromaticum folium). Evaluation of ointment preparations was carried out after 1 week of storage; evaluation tests included organoleptic tests, homogeneity tests and pH tests. The results showed that the ointment preparations F1 (76%: 10%) met the requirements for a good and stable ointment, while F2 (71%: 15%), and F3 (66%: 20%) did not meet the requirements for a good and stable ointment.

Academic data increases every year in line with the increase of students. Abundant data store is alsoan abundance of information. Data mining technology is a tool for extracting information on largedatabases and has been widely used in many domains. Predicting student performance (study evaluation) isan activity to determine a future state based on existing data. Data in the field of academic research hasbeen done with various methods and algorithms, but the use of algorithm SLIQ (Supervised Learning InQuest) has not been done.SLIQ is an algorithm developed by the IBM's Quest project team in 1996 for mining large datasets.SLIQ algorithm classify and predict the students performance, beginning with the data cleaning, conductedelection training and testing data. By calculating gini index of each attribute and then selecting thesmallest gini index data table is split according to the criteria until find the same class. From the results ofthe calculation process can produce a set of rules that can be used to predict student performance.From the experiment it can be concluded that the algorithm SLIQ with decision tree technique canbe used as an alternative in designing a system datamining applications. Tests conducted system showedthat the constructed model can be used to predict the performance of new students. The resulting accuracyof the model system in fact has a lower score than the accuracy of other applications that are used as acomparison of Tanagra. Advantages of the proposed system is in its design does not need complexcalculations in obtaining the gini index attributes.

Remote sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigations Remote sensing data is of such nature and volume as to require it to be compatible with processing and outputing by computers. They are the easiest, fastest, and most efficient way to produce images, extract data sets, and assist in decision making. One special function is to assist in manipulating other kinds of data about the spatial or locational aspects of areas in the world that are the subjects of interpretation and decision making. The bulk of the data in such systems have in common a geographical significance, that is, they are tied to definite locations on the Earth. In this sense, they are similar to or actually make up what has become a powerful tool in decision making and management. The Image-Based Information System (IBIS) was developed in 1975 at the Jet Propulsion Laboratory, and is designed to be a comprehensive geographic information system that performs operations on raster image, tabular, and graphics format data, using the Video Image Communication And Retrieval (VICAR) image processing system. This was accomplished by the creation of a new VICAR-based file format for tabulating raster format geographic information over multiple data planes.