Judul: Phrase word graph module in BogorDelftConstruct
Abstrak: BogorDelftConStruct is the first KG application developed in Indonesia using MATLAB. BogorDelftConstruct has been developed as an early stage. In line with that, this research implemented semantic analysis for one part-of-speech in BogorDelftConstruct. The objective of this research is to develop a phrase word graph module in BogorDelftConstruct system. The phrase has 40 word graph patterns formed by affixation. The process of forming word graph starts by acquiring root word and affix within input word using stemming based on Kamus Besar Bahasa Indonesia (KBBI). Root word is used to search part-of-speech in KBBI. Part-of-speech of root word and affix are used as parameters to determine which pattern of phrase word graph is appropriate. The appropriate pattern which contains the meaning of the word is generated in the system. The process of determining the appropriate pattern can be considered as a testing stage. In this module, from 40 patterns of phrase word graph, all of them can be identified according to the results of testing for patterns of phrase word graph module with a total of 265 tested phrases.
Keyword: 

Judul: Modul Word Graph Kata Benda pada KG_EDITOR Berbasis Java Desktop
Abstrak: One natural language processing method that can represent result of semantic analysis of a text as a graph is Knowledge Graph (KG). BogorDelftConstruct is a software developed to analyze a text and visualize it as a graph using KG. BogorDelftConstruct was developed using MATLAB programming language, which is not freely accessible. Because of that, in this reseach we develop a system using Java programming language, so everyone can run this system freely. The objective of this research is to add a word graph module for Indonesian noun in the system. Indonesian nouns comprise of 20 word graph patterns. All but one of them are formed by affixation. The process of forming word graph is started by getting root word and affix contained in input word using stemming based on Kamus Besar Bahasa Indonesia (KBBI). The root word is used to determine the part-of-speech in KBBI, which is used as a parameter to determine which pattern is appropriate. The pattern containing the meaning of the word would then be generated by the system. In this word graph module, only 19 patterns can be implemented. From 176 words used in testing, there were only 4 errors, equivalent to an accuracy of more than 97%
Keyword: 

Judul: Pengaruh Pelilinan Dan Suhu Penyimpanan Terhadap Kualitas Telur Ayam Ras
Abstrak: Telur ayam ras merupakan sumber protein yang murah dan mudah untuk diperoleh. Telur memiliki nutrisi yang lengkap seperti vitamin, lemak dan mineral. Namun, telur melalui pori-pori mudah terkontaminasi oleh mikroorganisme. Telur juga mengalami penguapan air dan pelepasan gas yang dapat mengurangi kualitas telur. Pelilinan dan penyimpanan suhu dingin adalah dua cara yang dapat dilakukan untuk mempertahankan kualitas telur. Lilin lebah berbentuk emulsi minyak didalam air digunakan karena lilin lebah tidak beracun, mudah kering, mengkilat, murah dan mudah untuk diperoleh. Emulsi lilin lebah diformulasi dari lilin lebah, trietanolamin, asam oleat, dan aquadest. Konsentrasi lilin lebah dalam emulsi adalah 12% b/b. Kualitas telur pada hari ke-0 hingga hari ke-28 diamati untuk mengetahui pengaruh pelilinan terhadap telur. Penyimpanan telur dilakukan pada suhu dingin (13°C) dan suhu ruang (28°C). Parameter yang diukur adalah susut bobot, kedalaman kantung udara, nilai Haugh Unit, derajat keasaman (pH), kondisi putih dan kuning telur. Berdasarkan parameter-parameter yang diukur, telur mengalami penurunan kualitas selama penyimpanan. Telur yang dilapisi lilin dan disimpan pada suhu 13°C merupakan kondisi terbaik untuk memperkecil penurunan kualitas selama penyimpanan.
Keyword: kualitas, lilin lebah, pelilinan, suhu penyimpanan, telur ayam ras