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Rancang Bangun Sistem Informasi Pengolah Nilai Sekolah Dasar untuk Kurikulum 2013

Journal paper
Aris Budianto, Rosyid Esanudin, Puspanda Hatta
Publication year: 2019

Abstract

Implementasi perubahan Kurikulum Tingkat Satuan Pendidikan (KTSP) ke Kurikulum 2013 berdampak pada sistem penilaian siswa. Penilaian pada Kurikulum 2013 terdiri dari beberapa komponen, yaitu komponen sikap, pengetahuan dan ketrampilan. Pada saat penelitian dilakukan, pencetakan laporan studi atau rapor di Sekolah Dasar dilakukan dengan cara manual, sehingga membutuhkan waktu yang lama dan tidak efisien. Penelitian ini bertujuan untuk membuat Sistem Informasi Pengolah Nilai untuk Kurikulum 2013 yang diimplementasikan untuk Sekolah Dasar. Metode penelitian yang digunakan adalah Model Research and Development (R&D). Sedangkan model pengembangan aplikasi menggunakan Model Waterfall. Kelayakan sistem diuji berdasarkan standar ISO 9126. Aspek yang digunakan yaitu antara lain functionality, usability, maintainability, dan portability. Pengujian tingkat kelayakan sistem informasi dilakukan oleh ahli sistem, ahli substansi, dan pengguna sistem. Pengguna dari sistem ini adalah Guru Mata Pelajaran, Guru Kelas dan Wakil Kepala Sekolah bidang Kurikulum. Hasil pengujian aspek functionality menghasilkan nilai 89,22%, aspek usability menghasilkan nilai 88,75%, aspek maintainability menghasilkan nilai 90%, dan untuk aspek portability menghasilkan nilai 81,66%.

Perancangan Intelligent Tutoring System Untuk Pembelajaran Jaringan Komputer

Journal paper
Aris Budianto, Rosihan Ari Yuana
Publication year: 2019

Abstract

Proses pembelajaran mata kuliah Jaringan Komputer di prodi Pendidikan Teknik Informatika (PTIK), Fakultas Keguruan dan Ilmu Pendidikan (FKIP), Universitas Sebelas Maret (UNS) terjadi sebuah gap antara Mahasiswa dari SMA dan SMK. Sebagian mahasiswa dengan latar belakang SMA belum memiliki konsep-konsep dasar Jaringan Komputer, sedangkan mahasiswa dari SMK sudah pada tahap sudah jauh lebih advance. Untuk menjembatani hal tersebut maka salah satu solusi yang bisa diimplementasikan adalah sebuah e-learning yang menyediakan sistem pembelajaran mandiri. E-learning yang dikembangkan akan menyediakan materi yang lengkap, latihan dan dan video tutorial. Pada penelitian ini, berbeda dengan E-Learning konvensional yang bersifat sama (flat) untuk setiap pengguna, E-Learning yang akan dikembangkan dilengkapi dengan Machine Learning metode Naïve bayes. Machine Learning akan membantu proses pembelajaran dengan pendekatan one-to-one, dimana sistem akan memiliki kemampuan mendeteksi kemampuan mahasiswa yang menggunakan E-Learning. Sistem menyesuaikan materi dan latihan sesuai dengan kemampuan pengguna dalam proses belajar mandiri. Dengan tutorial yang bertahap dan pendekatan yang berbeda dalam proses belajar setiap siswa diharapkan mampu meningkatkan pemahaman siswa mengenai mata kuliah Jaringan Komputer di PTIK, FKIP, UNS.

Development of Module and Augmented Reality Based Android Aplication Computer Assembly For Vocational High School Student

Journal paper
Muhammad Ardan Maulana, Yudianto Sujana, Aris Budianto
Publication year: 2019

Abstract

Based on observation in class X TKJ SMK Negeri 1 Sawit. Students had some problem when learning computer assembly. That happens because lack of equipment and learning media. They need a learning media that can be used to study computer assembly not only inside a school but outside as well. We propose to solve that problem with developing a new learning media that can help students learn independently. We develop a module and android based augmented reality application called ARRAKOM . when ARRAKOM detect a marker in the module. It can display a 3-dimensional model in real time. Learning media is created using ADDIE consist of Analysis, Design, Development, Implementation, and Evaluation. In the development stage, we are using an incremental model and created 2 prototypes of ARRAKOM. In result of the feasibility test, Arrakom gets measured with a Likert scale from expert media get percentage 75% very good, 25% good, 0% bad, 0% very bad. for expert material get percentage 57% very good, 43% good, 0% bad, 0% very bad. And from user get percentage 47% very good, 43% good, 3% bad and 0% very bad.

Keywords

Design and Implementation of Microcontroller-Based Building Automation for Smart Computer Laboratory

Journal paper
Puspanda Hatta, Dimmapraha Fatuardi Dadungawigra, Aris Budianto
Publication year: 2019

Abstract

This research provided device management automation for computer laboratories using Arduino. Some devices in computer laboratories such as Air Conditioners and LCD Projectors were always on while the device not used. It caused inefficient uses of electricity resulting in increased electricity bills and reduce the device lifetime. Device automation made the electronic devices work automatically. The first automation we applied on the Air Conditioner, the other one was on LCD Projectors. This schematic developed based on Arduino Uno R3 with several components such as the infrared transmitter, humidity sensor DHT11, relay board and I2C OLED display. Arduino Uno R3 provided as the central controller. The two methods of testing were used for measuring this system performance. The first test was done by testing the performance of the components used, such as the IR Transmitter, DHT11, relay board, and I2C OLED Display. The second test was done by testing the functionality of Arduino Uno R3 as a controller. This test resulted that the automation system can work properly with fully automatic control LCD projectors and air conditioners by periodically stabilizing room temperature and turning on the projector’s LCD automatically when needed.

Keywords

Web-based geographic information system for school mapping and disaster mitigation

Conference paper
Yuliana Ariyanti, Rosihan Ari Yuana, Aris Budianto
Publication year: 2018

Abstract

Indonesia is a country with 129 active and 500 inactive volcanoes. Disasters caused by volcanic eruptions have impacted on several sectors including education. Development of geographic information system for mapping disaster-prone areas (KRB) can facilitate the identification of schools that require particular attention when disasters such as volcanic eruptions occur. This research aims to develop a web-based geographic information system for school mapping and disaster mitigation (SIMBAK). SIMBAK can map the schools located in the KRB, present school profile information and display the navigation. After SIMBAK have developed, the test was directed in two stages: limited test and expanded test to confirm the feasibility of a SIMBAK. Limited test completed by information system experts and disaster substance experts. Results from a limited test show a percentage value of 86.3%. The expanded test completed by actors involved in SIMBAK namely administrators, school operators, and users. The results of the expanded test show the percentage of the value of 87.9%. It means that SIMBAK is feasible to apply in areas that are in disaster-affected.

Keywords

Technology Acceptance Model for Examining the Feasibility of a Computer-based Test System (an Indonesian Context)

Journal paper
Septian Nugroho, Cucuk Budiyanto, Aris Budianto
Publication year: 2018

Abstract

Indonesia is a country with rapid technological developments in all sectors including education. This can be proved by the government’s success in applying computer-based test in 2014 junior high school. Many conveniences obtained when the exam using computer such as the assessment automatically, get feedback quickly and the question can be stored in the bank question. In this research, computer-based test system will be developed based on the convenience as above and will be added some other features to suit of the school using waterfall development model. Additional features include classroom major, question grouping in the question bank, user management and ease of registration during new year academic calendar. After developing system has been done, the CBT system is tested to one class at a vocational high school in Indonesia using an system feasibility instrument adapted from technology acceptance model (TAM) to know the level of feasibility the CBT system in perceived usefulness and perceived easy of use. The test results show that CBT system is very suitable for use in the class and can be applied to all schools in Indonesia.

 

Sistem Rekomendasi Bursa Kerja Khusus (BKK) SMK Dengan Metode Simple Additive Weighting

Journal paper
Isabela Maharani, Aris Budianto, Rosihan Ari Yuana
Publication year: 2018

 Abstract

math-photography-hd-wallpaper-1920x1080-9897Bursa Kerja Khusus (BKK) di Sekolah Menengah Kejuruan berguna untuk menyebarkan informasi lowongan pekerjaan bagi siswa/alumni SMK. Sistem ini bermanfaat menyebarkan informasi. Namun dengan banyaknya lowongan maka siswa diharuskan memilih perusahaan-perusahaan yang sesuai dengan minat dan keahliannnya. Untuk mengatasi masalah tersebut, pada penelitian ini akan dilakuan penggembangan sistem rekomendasi bagi Bursa Kerja Khusus (BKK). Selain membantu penyebaran informasi, sistem dilengkapi dengan fitur rekomendasi. Siswa/alumni calon pencari kerja akan mendapatkan rekomendasi mengenai perusahaan yang sesuai dengan minat dan keahliannya. Sedangkan bagi perusaan akan diberikan rekomendasi calon pendaftar yang memiliki keahlian yang dibutuhkan oleh perusahaan. Sistem rekomendasi menggunakan metode pengambilan keputusan Simple Additive Weighting. Metode Simple Additive Weighting memberikan bobot terhadap setiap atribut yang kemudian dilanjutkan dengan adanya proses perangkingan semua atribut. Penelitian dan pengembangan ini menggunakan metode penelitian Research and Development (R&D) oleh Borg and Gall. Pada penilaian oleh ahli sistem menunjukkan hasil 88.9%. Penilaian dari dua ahli substansi menunjukkan hasil 87.8%. penilaian dari siswa/ alumni SMK menunjukkan hasil 88.3%. Sedangkan penilaian dari perusahaan menunjukkan hasil 92.1%. Keseluruhan penilain tersebut berada pada rentang 81% – 100%, sehingga sistem dikategorikan sangat layak untuk digunakan.

Perbandingan K-Nearest Neighbor (KNN) Dan Support Vector Machine (SVM) Dalam Pengenalan Karakter Plat Kendaraan Bermotor

Journal paper
Aris Budianto, Rosihan Ariyuana, Dwi Maryono
Publication year: 2018

 Abstract

math-photography-hd-wallpaper-1920x1080-9897Penelitian mengenai pengenalan karakter plat nomor kendaraan atau Automatic License Plate Detection (ALPR) sudah banyak dilakukan. Berbagai metode machine learning digunakan pada proses pengenalan karakter plat nomor kendaraan. Pada penelitian ini akan membandingkan metode K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM) dalam pengenalan karakter plat nomor kendaraan. Pengujian sistem pada 20 pengujian didapatkan hasil sebagai berikut: Akurasi pengujian pengenalan plat kendaraan dengan metode Support Vector Machine dengan akurasi 95%. Sedangkan menggunakan metode KNN mendapatkan akurasi pengujian 80%.

 

Learn Arabic Language App, Mobile Based Application for Self-Directed Learning

Conference paper
Endar Suprih Wihidayat, Yuniati Dwi Utami, Aris Budianto
Publication year: 2018

Abstract

It is common cases when students need a remedial learning process because they do not meet the learning achievement standards. The remedial process requires time and effort for both teacher and student. Some teachers prefer to lets their student doing self-directed learning. The teacher gives the material and direction in the classroom, then the students learn off-class. The face-to-face process is again conducted to evaluate the students’ achievements. This learning method called with the flipped-class learning method. The method needs learning media that are appropriate for the self-directed learning process. This study aimed to develop a mobile application that can be used as self-directed learning media. Learn Arabic Language App (LALA) was developed by adopting the learning process in regular face-to-face class which is listening, understanding words/sentences meaning and writing in Arabic. LALA was tested for its usability (ease of use) to 16 students of a 4th-grade elementary school. The testing results show that LALA is very easy to use tool for self-directed learning. From the LALA development process, it is known the potential of mobile applications and game elements that can be designed and developed for self-directed learning

Intelligent Tutoring System Design for Computer Network Learning

Conference paper
Aris Budianto, Rosihan Ariyuana, Asti Amalina Puspitaningrum
Publication year: 2018

There is a gap in the learning process of Computer Network in Informatics Education, Sebelas Maret University between Students from High School and Vocational High School. Some students with high school backgrounds do not have the basic concepts of Computer Networking, while students from SMK are already at a much more advanced stage. To bridge the thing then one solution that can be implemented is e-learning that offers independent learning system. E-learning developed will provide complete material, practice and video tutorials. In these research, unlike E-Learning that is the same (flat) for each user, E-Learning will be developed equipped with Machine Learning Naïve Bayes method. Machine Learning will help the learning process with a one-to-one approach, where the system will have the ability to detect the ability of students using E-Learning. The system adapts the material and exercises according to the user’s ability in the independent learning process. In this development, it is still at the functional testing stage with the Blackbox method by the developer. Based on the testing conducted by the researcher, it resulted that all functions in the Value Processing Information System were running well. With a step-by-step tutorial and a different approach in the learning process, each student is expected to be able to improve students’ understanding of Computer Network courses in PTIK, FKIP, UNS.

Information System of International Conference Management Based on Web

Journal paper
Ahmad Sidiq, Yudianto Sujana, Aris Budianto
Publication year: 2018

Technological advances can be utilized to make information dissemination faster and more efficient. One example of the use of technology as a medium of information and management in the implementation of the conference is an information management system based on WEB. Based on the observations that have been conducted, found various problems, among others for the preparation of activity data reports, data participants, and so forth, actually already utilizing information technology, but still less effective. So many weaknesses that appear like; less effective and efficient in data processing, the time required for the preparation of reports long enough and the risk of error becomes large. Then from the side of presence also still printed manually. In addition, all the participants who register will be placed certificates, although the participants are not present in the conference, this happens because of the organizers difficult to sort out which participants are present and not present. In this article presented the feasibility test results of the conference management information system developed. Testing is performed on system experts, substance experts, and users. Expert testing system using the instrument referring to ISO 9126 get 93% percentage. Expert testing of substance using instrument referring to ISO 9126 get 86% percentage. While testing of users using the instruments that refer to ISO 9126 aspects of functionality gets an average percentage of 88.2%.

Automatic License Plate Recognition: State of the Art and The Opportunities for Implementation in Indonesia (Literature Review)

Journal paper
Aris Budianto
Publication year: 2018

Automatic License Plate Recognition: A Review with Indonesian Case Study

Journal paper
Aris Budianto
Publication year: 2018

The Automatic License Plate Recognition (ALPR) has been becoming a new trend in transportation systems automation. The extraction of vehicle’s license plate can be done without human intervention. Despite such technology has been widely adopted in developed countries, developing countries remain a far-cry from implementing the sophisticated image and video recognition for some reasons. This paper discusses the challenges and possibilities of implementing Automatic License Plate Recognition within Indonesia’s circumstances. Previous knowledge suggested in the literature, and state of the art of the automatic recognition technology is amassed for consideration in future research and practice.

Analysis Of The 21st Century Skills Achievement Using Constructivist Learning With Arduino Based Driverless Vehicle Technology

Conference paper
Azinudin Achzab, Cucuk Budiyanto, Aris Budianto
Publication year: 2018

There has been recent attention to science, technology, engineering, and math (STEM) learning for early age children. Furthermore, the development of new technology learning standards and methods for integrating it into early age children education have been improved. Teacher-centred learning, information through lectures, relies on the use of whiteboards or reading materials recommended by teachers, causes passive students and such an approach can not address the challenges of the global economic era in educational processes and lacks equipping students with 21st-century skills needed recently. This paper reports preliminary findings on the robotics learning tools such as Arduino-based driverless vehicle technology influences student’ perception of the 21st-century skills pertinent to technological and vocational education and training (TVET) learning circumstances using a descriptive-qualitative research design. Two out of 100 target participants involved in this research, purposive sampling trough students with TVET learning environment. Interview such as open-ended and closed interview used to collecting the data and resulting in findings that indicate the correlation between student’s achievement on 21st-century skills and constructivist learning environment.

Sekar Indonesia: Interactive Android-Based Learning Media for History Learning

Journal paper
Muhammad Hassan Massaty, Yudianto Sujana, Aris Budianto
Publication year: 2017

Historical learning in Indonesia is very minimal innovation. Due to the lack of innovation from year to year emerged various problems in historical learning activities such as monotonous, boring and uninteresting. The variety of learning media will be able to increase interest of learners in the learning process. The result of this research is an interesting and non-boring Android-based history learning media that is called Sekar Indonesia and worthy of being used as a learning media. This research method is research and development (R & D). This study was conducted using a research model developed by Borg & Gall. The research model consists of five steps: research and data collection, planning, product drafting, preliminary field testing and main product revision. Applications Sekar Indonesia tested by material experts, media experts and users. Expert testing results obtained percentage of 86.1% from material experts, 92.85% from media experts, and 97.7% form users. From the test results obtained the conclusion that the application Sekar Indonesia that has been developed can be used as a learning media.

Development of Decision-making Support System to Determine the Feasibility of the Job Training Industry Using Simple Additive Weighting Method

Journal paper
Kaisah Riski Zubaeti, Aris Budianto, Dwi Maryono
Publication year: 2017

The activities of the job training is an activity that must be implemented at Vocational Secondary School. The lack of utilization of technology on such activities in Vocational Secondary School, so the data management of the job training become less effective and efficient. Therefore, it is necessary the information system for manage the data on the job training and produces the decision support of the decent industry of the job training as a result of the evaluation of the job training. This research has a goal to produce decision support system to determine the feasibility of the job training industry (SPK-KTP), measure the feasibility of the system, and produce a decision support using a Simple Additive Weighting (SAW) method. The information system can help the school to manage the administration on the job training, recap the daily journal, recap the reports in pursuit, and provide decision support the job training of decent industry used in the next period. SPK-KTP uses SAW method to produce decision support the job training of decent industry. SPK-KTP is the web-based information system which it is developed using the programming language PHP (Hypertext Preprocessor). This information system uses The Waterfall Model as its system development method. The steps of The Waterfall Model consists of Analysis, Design, Code, and Test. SPK-KTP has done testing to an expert of the information system with value 90,7%, an expert of the substance of the job training with value 91,6%, supervising teachers with value 83,3%, and learners with value 90,6%. Based on the result, so SPK-KTP is very decent to use.

Deteksi nomor kendaraan dengan metode connected component dan SVM

Journal paper
Aris Budianto, Teguh Bharata Adji, Rudy Hartanto
Publication year: 2016

Research on License plate detection system will be developed in this research. Vehicle plates detection will use a camera that mounted on parking gate. Detection process starts with collecting data using the camera. Preprocessing includes rescale the image into (640.480) pixels, converting the image into grayscale. Smooting process with blur method is used to reduce the image noise. Edge detection using Sobel on the vertical direction and thresholding. Segmentation process will combine 2 methods, Morphology Filter and Connected Component. Support Vector Machine (SVM) is used to test whether the candidate is a plat plate or not. Parking System Testing obtained the following results: Parking System Accuracy in detecting motorcycle plate is 78% and the accuracy car plate detection is 78%

Linear Vector Quantization Algorithm for Pattern Recognition on Paper Currency's Feature Using UV Light

Journal paper
Dewanto Harjunowibowo, Anif Jamaluddin, Sri Hartati, Rosihan Ari Yuana, Aris Budianto, Farid Ahmadi
Publication year: 2015

The aim of this research is to distinguish the authenticity of paper notes using detection system based on algorithm of Linear Vector Quantization (LVQ) Neural Network. The object image “dancer” of the paper currency Rp. 50.000.00 fluorescent by ultraviolet light used as the input for the system. The coding was built using visual programming language. The size of the feature of the dancer tested object is 114×90 pixels and its Red-Green-Blue-Hue-Saturation-Intensity (RGBHSI) values were extracted as the input for LVQ. The experimental result shows that the system can distinguish the authenticity of original paper notes fairly satisfy. It has accuracy up to 100% of detecting 20 real test case data, and 96% of detecting 22 simulated test case data.

A Counterfeit Paper Currency Recognition System Using LVQ based on UV Light

Journal paper
Dewanto Harjunowibowo, Sri Hartati, Aris Budianto
Publication year: 2015

This research is aimed to test a paper currency counterfeit detection system based on Linear Vector Quantization (LVQ) Neural Network. The input image of the system is the dancer object image of paper currency Rp. 50.000,- fluorescent by ultraviolet light. The image of paper currency data was taken from conventional banks. The LVQ method is used to recognize whether the paper currency being tested is counterfeit or not. The coding was carried out using visual programming language. The feature size of the dancer tested object is 114×90 px and the RGBHSI was extracted as the input for LVQ. The experimental results show that the system has an accuracy 100% of detecting 20 real test case data, and 96% of detecting 22 simulated test case data. The simulated case data was generated by varying the brightness of the image data. The real test case data contains of 10 counterfeit paper currency and 10 original paper currency. The simulated case data contains of 11 original paper currency and 11 counterfeit paper currency. The best setting for the system is Learning Rate = 0.01 and MaxEpoh = 10.

Estimates of genetic parameters and genetic changes for fleece traits in Inner Mongolia cashmere goats

Journal paper
Yanjun Zhang, Zhiying Wang, Hong Lei, Zhixin Wang, Rui Su, Wenguang Zhang, Juan Zhou, Yonglong Wei, Ruiqiang Meng, Ruijun Wang, Jinquan Li
Small Ruminant Research, Volume 117, Issue 1, March 2014, Pages 41-46
Publication year: 2014

Abstract

Genetic parameters and genetic trends for staple length (SL), staple fineness (SF), fiber length (FL) and fiber diameter (FD) were estimated using 7798 repeat records of 4583 Inner Mongolia cashmere goats at different ages measured from 2008–2011. These goats were descendants of 110 sires and 2139 dams, born between 2003 and 2010 at the Inner Mongolia Arbas cashmere goat stock farm. Analyses were carried out by average information restricted maximum likelihood, fitting four single-trait repeatability animal models with various combinations of individual and maternal effects. The best model for each fleece trait was chosen after testing for improvement of the log-likelihood values. Genetic parameters were then estimated under the most appropriate model. Genetic trends were determined by regressing yearly estimated mean breeding values on year of birth. All the fleece traits were influenced by direct addictive genetic and individual permanent environment effects. Estimates of direct heritability for SL, SF, FL and FD were 0.30, 0.27, 0.18 and 0.32, respectively. Genetic correlations among the fleece traits (SL–SF and FL–SF) were negative and high (−0.50 and −0.48). For the other fleece traits (SL–FL and SF–FD), the genetic correlation was moderate and positive (0.26 and 0.31). The phenotypic correlation among all fleece traits was low, ranging from −0.22 to 0.23. Compared with other traits, fleece traits were not objective traits in previous breeding programs; they presented irregular changes across year of birth. Estimates of genetic parameters and analyses of genetic trends would be helpful for designing a breeding program for the genetic improvement of fleece traits in Inner Mongolia cashmere goats.

Keywords

  • Heritability;
  • Genetic correlation;
  • Average breeding value;
  • Fleece traits

Cultivating admiration in brands: Warmth, competence, and landing in the “golden quadrant”

Conference paper
Jennifer Doe, Emily N. Garbinsky, Kathleen D. Vohs
Journal of Consumer Psychology, Volume 22, Issue 2, April 2012, Pages 191-194
Publication year: 2014

 Abstract

math-photography-hd-wallpaper-1920x1080-9897Although a substantial amount of research has examined the constructs of warmth and competence, far less has examined how these constructs develop and what benefits may accrue when warmth and competence are cultivated. Yet there are positive consequences, both emotional and behavioral, that are likely to occur when brands hold perceptions of both. In this paper, we shed light on when and how warmth and competence are jointly promoted in brands, and why these reputations matter.Although a substantial amount of research has examined the constructs of warmth and competence, far less has examined how these constructs develop and what benefits may accrue when warmth and competence are cultivated. Yet there are positive consequences, both emotional and behavioral, that are likely to occur when brands hold perceptions of both. In this paper, we shed light on when and how warmth and competence are jointly promoted in brands, and why these reputations matter.

Pattern Recognition on Paper Currency’s Feature Using LVQ Algorithm

Conference paper
Dewanto Harjunowibowo, Sri Hartati, Rosihan Ariyuana, Aris Budianto
Publication year: 2012

This research is aimed to test the originality of paper currency using detection system based on Linear Vector X1 Quantization (LVQ) Neural Network method. The input image of the system is the “dancer” object image of paper currency Rp. 50.000,- fluorescent by ultraviolet light. The coding was carried out using visual programming language. The feature’s size of the dancer tested object is 114×90 px and the Red-Green-Blue-Hue- X2 Saturation-Intensity (RGBHSI) values were extracted as the input for LVQ. The experimental result shows that the system has an accuracy 100% of detecting 20 real test case data, and 96% of detecting 22 simulated test case data.

The Dragonfly Effect: Quick, Effective, and Powerful Ways To Use Social Media to Drive Social Change

Journal paper
Jennifer Doe, Emily N. Garbinsky, Kathleen D. Vohs
John Wiley & Sons | September 28, 2010 | ISBN-10: 0470614153
Publication year: 2012

Abstract

Proven strategies for harnessing the power of social media to drive social change

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Identifying genetic diversity and a preliminary core collection of Pyrus pyrifolia cultivars by a genome-wide set of SSR markers

Book Chapter
Yue Song, Lian Fan, Hui Chen, Mingyue Zhang, Qianqian Ma, Shaoling Zhang, Jun Wu
Scientia Horticulturae, Volume 167, 6 March 2014, Pages 5-16
Publication year: 2010

Abstract

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A set of 134 SSR markers with high polymorphism covering the 17 linkage groups of pear were selected to study the genetic variability and relationships of 99 P. pyrifolia cultivars. A total of 660 allelic variants were detected, with the number of observed alleles per locus varying from 3 to 9, with a mean of 4.93 alleles per locus. Among 81 SSR markers newly developed from the pear genome, the highest polymorphism was obtained by the motif (GT/CA), and the least polymorphism generated by (AC/TG). Clustering relationships of 99 P. pyrifolia cultivars generally reflected geographical classification, and further confirmed the close relationship between pears from Yangtze River Basin and Japan. The results also indicated that Sichuan province played an important role in pear resource distribution. Genetic structure analysis revealed the similar relationship as clustering, indicating the close relationships between Japanese and Chinese pear; and further proved more genetic exchange among cultivars from Japan and Zhejiang, and fewer genetic exchange among cultivars from Yunnan, Hubei and Sichuan. CoreS1, a core collection of P. pyrifolia newly constructed by the preferred sampling strategy, included 24 cultivars, retained 95.74% observed number of alleles (Na) of the 99 P. pyrifolia cultivars. Principal component analysis (PCA) further supported the representative genetic diversity of CoreS1 for P. pyrifolia cultivars from China, Japan, and Korea. The high quality and comprehensive evaluation of P. pyrifolia cultivars by the SSR markers covering the whole genome demonstrates their potential application in genetic diversity, genetic relationship, and core collection research on other germplasm resources of pear.

Keywords

  • Pear (P. pyrifolia);
  • SSR markers;
  • Genetic diversity;
  • Core collection

Chapter Nine - Genetic Vectors Approach in a Study of Fine Structure of Interaction Between Risk Haplotype of HTR2A and HLA-DRB1 Shared Epitope Alleles in Rheumatoid Arthritis

Book Chapter
Igor Sandalov, Leonid Padyukov
Between the Lines of Genetic Code, 2014, Pages 151-174
Publication year: 2001

Abstract

We introduce new quantitative characteristics of the population using an analogy to the system of multi-spin molecules: the disease fields, which may depend on interactions, and the susceptibility to disease as derivative of genetic vector’s (GV’s) frequency of cases with respect to these fields. The genetic vector’s approach (GVA) is applied to statistical analysis of the interaction of two SNP haplotype of HTR2A and shared epitope (SE) alleles in relation to development of rheumatoid arthritis (RA). The analysis is performed for two independent cohorts, EIRA and NARAC, and based on the evaluation of double- and triple genotype–genotype versus SE alleles correlations. The Gibbs-like parametrization of GV frequencies makes analysis transparent and easy interpretable. We find that the main contribution into association to RA comes from GVs containing double SE. GVA may resolve an opposite role in risk/protection from different pairs of genetic variations and reveal an association to RA whereas the univariate analysis does not show significant association.