67 research outputs found
Prediction of Conformational Changes and Interactions Effects in Indonesian Non-Structural Protein 3 SARS-Unique Domain (Nsp3-SUD) Proteins Via End-Point Binding Free Energy Calculations
No full text金沢大学博士（学術）博士論文 要旨Abstract/本文Full 以下に掲載：The Science Reports of Kanazawa University 68 pp.25-82 2025. Kanazawa University. 共著者：Dedy Rendrawan, Kazutomo Kawaguci, Hidemi Nagaodoctoral thesi
Prevalensi antibodi Neospora caninum pada sapi-sapi di Jogjakarta, menggunakan metode Enzyme-Linked Immunosorbent Assay (ELISA)
No full textMutation-Induced Changes in Binding Affinity of Nsp3-SARS-Unique Domain (SUD): A Study on Indonesian SARS-CoV-2 Variants
No full textdepartmental bulletin pape
Data-driven methodologies for decision making in engineering design
No full textIn the product development process, customer needs are essential to develop the product concepts. These concepts are crucial because the subsequent stages in the process are dependent on the selected concepts. Customer needs are conventionally gathered via survey-based methods, which may require extensive cost to conduct. Along with the massive growth of internet, an alternative to those survey-based methods emerges. Customer needs, as well as other insights about the customers, may be inferred from the opinions, feedbacks, or expectations that customers express in various online channels including online customer reviews. However, the volume and the generating velocity of the online customer review data surpass people's ability to analyze them in a reasonable time. Therefore, in order to utilize online reviews for supporting product designers in decision making, this work proposes methodologies that utilize Natural Language Processing tools, machine learning algorithms, and statistical models. In particular, the methodologies are proposed to support product designers in three specific aspects. First, a methodology is proposed to automatically identify product features that are discussed in the customer reviews as well as their corresponding sentiments. The particular product features that are significantly related to sales rank should become the focus of product designers when considering improvements of the existing product. Second, a novel approach to constructing the choice sets in the absence of both socio-demographic and the actual choice set data is proposed. The choice models that use the proposed choice sets are shown to have better predictive ability than the baseline, i.e., using random choice sets. The choice models with higher predictive ability are useful for product designers to perform demand estimation more accurately. Finally, a methodology is proposed to automatically identify product usage contexts from online customer reviews. Understanding the actual usage contexts is important because it may explain the differences in customer needs, the required design targets, and product preferences. In this work, the identified usage contexts are further complemented by their corresponding aspect sentiments. For product designers, the results enable them to understand customer experience regarding the usage contexts, including the contexts that may not be originally intended by the designers.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-08-01The student, Dedy Suryadi, accepted the attached license on 2019-07-10 at 17:52.The student, Dedy Suryadi, submitted this Dissertation for approval on 2019-07-10 at 18:12.This Dissertation was approved for publication on 2019-07-11 at 09:38.DSpace SAF Submission Ingestion Package generated from Vireo submission #14253 on 2019-11-26 at 14:03:45Made available in DSpace on 2019-11-26T20:59:45Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-07-11Embargo set by: Seth Robbins for item 113079
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Effects of Kapok Seed Extract(Ceiba pentandra Gaertn) as Contraceptive Agent to the Quality of the Spermatozoa in Domestic Cat (Felis domestica)
No full textContraception is a way to prevent the fusion of mature egg cell and sperm during the intercourse, so the fertilization will not occur. Some contraceptive methods in small animals have been evolved. This research aimed to determine the effects of kapok seed (Ceiba pentandra Gaertn) extract as contraception agent to the quality of spermatozoain domestic cats. The animals were divided into four group with each group consisted of six male cats. Group I, II, III was designated as the treatment groups and IV as the control group. The cats were given the emulsion of kapok seeds extract orally with concentration of 0,1% b/v, 0,71 mg/kg BB, 0,36 mg/kg BB and 0,21 mg/kg BB doses. This study used Randomized Complete Random Design (RAL) design from sperm quality data and used ANOVA statistic test. The result showed that the concentration of sperm decreased in the treatment groups compared with the control group. Statistically, the sperm concentration decreased significantly (P < 0,05) between the control group and treatment groups. The average motility in low and medium doses was above 40% while it was below than 40% in the high doses group. Based on the results, the granting of kapok seed extract inhibited the viability of spermatozoa of cats with significant results (P < 0,05). Sperm abnormalities in this study was obtained from the control group with percentage average of 1 % , while it was significantly increased in the treatment groups marked by abnormalities in the shape of the head and tail of the spermatozoa. These results suggested that kapok seed extract can be used as one of the contraceptive agents in domestic cat (Felis domestica) because it can decrease the sperm quality significantly
Sistem Informasi Geografis Pemetaan tempat wisata di Berastagi
No full textBerastagi city is one of the most famous tourist city in Karo District. Karo Regency Government has promoted tourism objects through mass media such as newspapers, brochures, pamphlets and posters. However, the method is not enough to inform widespread tourism to local tourists foreign tourists. Therefore the author tries to make a new innovation for geographic information system mapping of tourist attractions in Berastagi which is fixed to all local tourists and foreign tourists. This application aims to get the public can get complete information about tourist attractions in Berastagi. And some Lodging as well as transportation close to the sights follow in order for people who are walking the easy and quick to find out. Thus the authors hope this application is useful for the entire community.111 HalamanKertas Karya Diplom
Implementasi Metode PCA – K Nearest Neighbour untuk Deteksi Golongan Kendaraan Berdasarkan Jumlah Pasang Gandar
No full textDetection of vehicle type based axle allow to do classify vehicle based on the load that will carried by the vehicle. However at this time, classification of heavy vehicle types based on axles is still carried out by humans. In here research, author use image processing for classification of vehicles class with PCA-K Nearest Neighbour Method. The reason for choosing this algorithm is because previous research use K-Means Clustering have a same formula with K-Nearest Neighbour. The data used is the image captured from the video camera processed by background subtraction method to separate moving object namely vehicle with its background. PCA method is required to obtain eigen vektor from vehicle and reduce its dimensions. Meanwhile, for classification author tries to use classification algorithm of K-Nearest Neighbour. To detect vehicle axles author use Circular Hough Transform method. The Testing Result shows detect vehicle type use PCA-K Nearest Neighbour method with value of K=1 has an accuracy 90%.Deteksi golongan kendaraan berdasarkan gandar memungkinkan untuk melakukan klasifikasi kendaraan berdasarkan beban yang akan di bawa oleh kendaraan tersebut. Namun pada saat ini, klasifikasi jenis kendaraan berat berdasarkan gandar masih dilakukan oleh manusia. Dalam penelitian ini, penulis menggunakan pengolahan citra untuk klasifikasi golongan kendaraan dengan metode PCA-K Nearest Neighbour. Alasan pemilihan algoritma ini adalah karena penelitian sebelumnya menggunakan algoritma K-means Clustering memiliki rumus yang sama dengan K-Nearest Neighbour. Data yang digunakan adalah citra yang ditangkap dari kamera video diproses dengan metode background subtraction untuk memisahkan objek yang bergerak yaitu kendaraan dengan backgroundnya. Metode PCA diperlukan untuk mendapatkan vektor eigen dari kendaraan dan mereduksi dimensinya, sedangkan untuk klasifikasi penulis mencoba menggunakan algoritma klasifikasi K Nearest Neighbours. Untuk deteksi gandar kendaraan penulis menggunakan metode Circular Hough Transform. Hasil pengujian menunjukkan deteksi golongan kendaraan menggunakan metode PCA-K Nearest Neighbours dengan nilai K=1 mendapat akurasi 90%.84 HalamanSkripsi Sarjan
Analysis of input-output characteristic and generation cost optimization using quadratic least square regression and dynamic genetic algorithm method: Case study PT.PLN PJB UP Gresik
No full textUlama Kekerasan sebagai Intelektual Kekerasan:Studi Kasus Bom Bunuh Diri Keluarga di Surabaya
No full textThis article aims to conceptualize the role of the violent ulama in the 2018 family suicide bombing terror incident in Surabaya which involved children, mothers, and fathers (nuclear family). The author uses a qualitative approach with direct data sources in the form of interviews with the Surabaya bombing terrorist network and library data. This article concludes that violent clerics are organic intellectuals who are the intellectual actors behind the family suicide bombing
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