Aplikasi Simulasi Pengurutan Data Menggunakan Algoritma Heap Sort

Untuk memecahkan masalah pengurutan dalam membangun suatu program aplikasi, dibutuhkan algoritma pengurutan. Metode-metode pengurutan data pun ada berbagai jenis. Mulai dari binary sort, insertion sort, merge sort, Heap Sort dll. Heap Sort, algoritma pengurutan, merupakan salah satu metode pengurutan yang sering digunakan. Algoritma Heap Sort termasuk algoritma sorting yang susah dipahami karena banyak langkah-langkah dalam mengurutkan data. Dikembangkannya perangkat lunak simulasi Heap Sort, diharapkan dapat membantu dalam pemahaman algoritma ini. Dalam penelitian ini penulis mengembangkan sebuah program aplikasi simulasi pengurutan data menggunakan algoritma Heap Sort. Program aplikasi kompresi yang dibuat dapat digunakan pada sistem operasi Windows 7 dan XP, dengan menggunakan bahasa pemrograman Microsoft Visual Basic 6.0. Tujuan akhir dari implementasi perangkat lunak ini adalah diharapkan agar pembaca dan pengembang sistem dimasa yang akan datang dapat mengembangkan dan memperbaiki kekurangan serta keterbatasan yang terdapat pada perangkat lunak ini

APLIKASI SIMULASI PENGURUTAN DATA MENGGUNAKAN ALGORITMA HEAP SORT

Untuk memecahkan masalah pengurutan dalam membangun suatu program aplikasi, dibutuhkan algoritma pengurutan. Metode-metode pengurutan data pun ada berbagai jenis. Mulai dari binary sort, insertion sort, merge sort, Heap Sort dll. Heap Sort, algoritma pengurutan, merupakan salah satu metode pengurutan yang sering digunakan. Algoritma Heap Sort termasuk algoritma sorting yang susah dipahami karena banyak langkah-langkah dalam mengurutkan data. Dikembangkannya perangkat lunak simulasi Heap Sort, diharapkan dapat membantu dalam pemahaman algoritma ini. Dalam penelitian ini penulis mengembangkan sebuah program aplikasi simulasi pengurutan data menggunakan algoritma Heap Sort. Program aplikasi kompresi yang dibuat dapat digunakan pada sistem operasi Windows 7 dan XP, dengan menggunakan bahasa pemrograman Microsoft Visual Basic 6.0. Tujuan akhir dari implementasi perangkat lunak ini adalah diharapkan agar pembaca dan pengembang sistem dimasa yang akan datang dapat mengembangkan dan memperbaiki kekurangan serta keterbatasan yang terdapat pada perangkat lunak ini.Kata kunci: Program aplikasi, pengurutan data, Algoritma Heap Sort, Microsoft Visual Basic 6.

Prototype Lampu Lalu Lintas Adaptif Berdasarkan Panjang Antrian Kendaraan Berbasis Arduino Uno

Jamming has become a major problem in the big cities in Indonesia. One of the vulnerable points that cause congestion/jam is at the crossroads. Traffic lights should be a very important component in the traffic control system, especially at crossroads. Had a significant change in the number of vehicles and there is no data update, it will cause a longer waiting time. The purpose of this research to design an adaptive traffic light system based on the queue length of vehicles on each road section and testing the traffic light control simulation design. This research used Arduino Uno as a microcontroller and infrared detection sensor. Sensor readings will detect the condition of each road which will be sent to the microcontroller and processed in determining the duration of each traffic light. The results of this study indicates a traffic light system designed to control traffic lights based on the queue length of vehicles on each road segment. Meanwhile, in testing the system, the error value is 0.00404% for the duration of the green light. 0.00917% for the duration of the yellow light, and 0.0217% for the duration of the red light. Based on the results, it is expected that there should be development using a microcontroller that put more input and output pins so that it can detect density on roads more accurately

Multimorbidity and leisure-time physical activity over the life course : a population-based birth cohort study

Background: We aimed to test which life course model best described the association between leisure-time physical activity (LTPA) and multimorbidity at age 55. We analyzed data from birth to age 55 using the database from the 1958 National Child Development Survey. Methods: Multimorbidity was considered as the presence of more than one chronic condition. LTPA was measured through questionnaires from 1965 (age 7) to 2013 (age 55), which were applied in eight different occasions. We compared the fit of a series of nested adjusted logistic regression models (representing either the critical, accumulation or sensitive period models) with a fully saturated model. Data were reported as odds ratio (OR) and 95% confidence interval (CI). Results: From an eligible sample of 15,613 cohort members, 9137 were interviewed in the latest sweep (58.5%). Men were more physically active than women at ages 11, 16, and 23 (p < 0.001). LTPA every day in the week was more frequent in women than men in ages 33, 42, and 50 (p < 0.001). The prevalence of multimorbidity at age 55 was 33.0% (n = 2778). The sensitive analysis revealed that LTPA during adolescence (OR: 0.83; 95% CI: 0.70, 0.98) and mid adult life (age 50 and 55; OR: 0.82; 95%CI: 0.69, 0.98) have a stronger effect on the risk for multimorbidity at age 55 considering all other life stages in the model. Also, adolescence showed a critical independent effect on the risk for multimorbidity (OR: 0.82; 95%CI: 0.70, 0.97). No difference was found between those models. Conclusions: These data support the notion of a protective physical activity “legacy” at early ages of childhood against multimorbidity at older ages. We highlight the need for LTPA promotion through intervention tailored especially on schooling and older ages in order to reduce the burden of multimorbidity

Dental Mesenchymal Stem Cell: Its Role in Tooth Development, Types, Surface Antigens and Differentiation Potential

Reciprocal interaction between oral ectodermal epithelial cells and mesenchymal stem cells (MSCs)-derived from the cranial neural crest starts the teeth development. The role of dental MSCs continues throughout life. The dental MSCs do not only play a role in tooth development but also in tooth homeostasis and repair. There are many kinds of dental MSCs, such as dental pulp stem cell (DPSC), stem cell from apical papilla (SCAP), stem cell from exfoliated deciduous teeth (SHED), periodontal ligament stem cell (PDLSC) and stem cell from dental follicle (DFSC). Aligned with the proposed criteria by the International Society for Cellular Therapy (ISCT), dental MSCs are adherent cells and like other MSCs, dental tissue MSCs are capable of giving rise to cell lineages such as osteo/odontogenic, adipogenic, and neurogenic. Various surface antigens of dental MSCs were reported, however, mostly typical antigens suggested by ISCT were fulfilled. Surface antigens from each dental MSCs (DPSC, SCAP, SHED, PDLSC and DFSC) are being described in the current report.Keywords: dental stem cells, mesenchymal stem cells, tissue regeneration, DPSC, SCAP, SHED, PDLSC, DFS

Investigation on Cell Surface Markers of Dental Pulp Stem Cell Isolated from Impacted Third Molar Based on International Society for Cellular Therapy Proposed Mesenchymal Stem Cell Markers

Background: Recently we have isolated and cultured dental pulp stem cell (DPSC) derived from impacted third molar (DPSC-M3). The DPSC-M3 was suggested as mesenchymal stem cell, however the cell surface markers were not completely clarified. Therefore current study was conducted to investigate the markers.Materials and Methods: Passage 5 DPSC-M3 was cultured, labeled and examined with flow cytometer. All markers were investigated according to the proposed cell surface marker panel for the minimal identification of human mesenchymal stem cell (MSC) by International Society for Cellular Therapy (ISCT). The positive markers were cluster of differentiation (CD)90, CD73, CD105, while the negative markers were CD34, CD45, CD11b, CD19, and Human Leukocyte Antigen (HLA)-DR. Results: Results showed that the size and granularity of DPSC-M3 were ranged from 75 to 230 and 27 to 203, respectively. The cell surface antigens examination showed that CD90, CD105 and CD73 were highly expressed (>95%), meanwhile expressions of CD45, CD34, CD11b, CD19 and HLA-DR were <2%.Conclusion: Since the all markers expression were in accordance to the proposed cell surface marker panel for the minimal identification of human MSC by ISCT, DPSC-M3 could be suggested as an MSC.Keywords: dental pulp, stem cell, dental pulp stem cell, ISCT, flow cytometr

Mastering Business in Asia: Corporate Governance

Singaporexiv, 376 p: Illus ; 23 cm