Judul: Determination Of The Facial Foam Sensory  Attributes’ Optimum Value Using Ordinal  Logistic Regression Models
Abstrak: ANDINI DESITA EKAPUTRI. Determination of the Facial Foam Sensory Attributes Optimum Value Using Ordinal Logistic Regression Models. Under the supervision of KHAIRIL ANWAR NOTODIPUTRO and BAMBANG SUMANTRI. Market products have many characteristics to be maintained by the companies to fit the consumers’ preference. One of important characteristic s is sensory aspects. Sensory aspects are built by the five senses from the human body namely sight, sound, taste, touch and smell. However, the problem is the optimum value of each sensory attribute is still unknown. Preference attribute, which is the response variable is usually measured by an ordinal scale. As a result simple linear regression would not be appropriate. One of the alternatives is by using ordinal logistic regression, a model that takes rank ordering of the response variables into account. Using one of the ordinal logistic models, the proportional odds model, the optimum value will be obtained by searching the highest individual probability for the “like it” category of preference attribute for each category of performance attribute. The analysis for each of the attribute were treated differently depended on the brand product influence, named panel. If an attribute was influenced by the panel then the optimum value would be obtained for each panel. However, if all panels did not give any significant influences, than the analysis could be done entirely without considering the panels. The result showed that only three sensory attributes were affected by the panels, namely smoothness, thickness of foam during use and ease of rinsing at tributes. The optimum value of a product was based on the individual probability of the preference attribute. In other word the objective was to know how big was the probability to choose scale 4 of the preference attribute, which was the “like it category”, of each performance attribute’s category. For most of the performance attributes, scale 4 tended to have largest probability to be preferred. Only stickiness and sticky feel after rinsing had the largest probability on scale 1 which was “not sticky at all category ”. The last objectives was to find out the association among categories of performance attribute using odds ratio. An odds ratio that has value more than one means that the observed category is less preferred than the reference category. C onversely, an odds ratio that has value less than one means the observed category is more preferred than the reference category.
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Judul: Detrmination of the facial foam sensory attributes optimum value using ordinal logistics regression models
Abstrak: Market products have many characteristics to be maintained by the companies to fit the consumers preference. One of important characteristics is sensory aspects. Sensory aspects are built by the five senses from the human body namely sight, sound, taste, touch and smell. However, the problem is the optimum value of each sensory attribute is still unknown. Preference attribute, which is the response variable is usually measured by an ordinal scale. As a result simple linear regression would not be appropriate. One of the alternatives is by using ordinal logistic regression a model that takes rank ordering of the response variables into account. Using one of the ordinal logistic models, the proportional odds model, the optimum value will be obtained by searching the highest individual probability for the "like it" category of preference attribute for each category of performance attribute. The analysis for each of the attribute were treated differently depended on the brand product influence, named panel. If an attribute was influenced by the panel then the optimum value would be obtained for each panel. However, if all panels did not give any significant influences, than the analysis could be done entirely without considering the panels. The result showed that only three sensory attributes were affected by the panels, namely smoothness, thickness of foam during use and ease of rinsing at tributes...
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Judul: Karakterisasi molekuler virus gemini asal tanaman tomat
Abstrak: Virus gemini merupakan salah satu kelompok patogen utama yang menyerang dan menimbulkan kerusakan yang besar pada tanaman sayuran di daerah tropik dan sub tropik. Pada umumnya kerugian yang ditimbulkan oleh adanya suatu epidemi berkisar antara 30%-100%. Gejala tanaman tomat yang terinfeksi oleh virus gemini kadangkala mirip dengan gejala yang disebabkan oleh infeksi virus yang lain khususnya Potyviridae dan Tobamoviridae. Dengan demikian, gejala penyakit saja tidak cukup untuk digunakan dalam mengidentifikasi virus gemini. Pengetahuan tentang karakter molekuler virus gemini pada tanaman tomat yang bergejala menjadi sangat penting dalam mengidentifikasi virus gemini tersebut. Penelitian ini bertujuan untuk mengamati gejala luar, melakukan purifikasi dan mempelajari beberapa karakter molekuler virus gemini asal tanaman virus tomat. Karakter molekuler yang dipelajari meliputi ukuran dan jenis asam nukleat serta ukuran protein. Deteksi virus dengan metode polymerase chain reaction (PCR) dilakukan untuk memperkuat hasil analisis karakter molekuler. Isolat virus gemini asal tanaman tomat yang diperoleh dari Bandung, Jawa Barat ditularkan dengan serangga vektor B. tanaman tomat. daerah tabaci dari dan ke Gejala yang ditimbulkannya berupa penebalan tulang daun permukaan bawah, daun menggulung ke atas atau ke bawah, berkeriput dan tepi daun mengalami klorosis. Virus gemini isolat Bandung ini berhasil dimurnikan dari daun tomat yang bergejala dengan menggunakan metode yang digunakan ..dst
Keyword: virus gemini, tanaman tomat, purifikasi virus, isolasi tanaman