Vehicle Transient Air Conditioning Analysis: Model Development& System Optimization Investigations

The development of learning media model becomes a necessity for improving the quality of education in Indonesia. Following the development of technology and information, new models continue to be developed, one of which is comic. This study aims to develop a model of electronic comic (e-Comic) as a medium of learning. With the ADDIE development method, it is done through needs analysis, model design, prototype development, prototype implementatio (testing) and evaluation of prototype implementation results to the field. The result is a comic electronic model in which graphic-shaped graphics are highlighted to deliver learning materials in accordance with the applicable curriculum. The material is delivered in story form so the delivery is not rigid. Implementation of field trial prorotype obtained data that the user liked the model of this e-Comic learning media and feel like learning to read comics with digital format. The conclusion of the development of e-Comic model, innovative learning media, fun, effective and efficient, so as to increase the students' attention in understanding the subject AbstrakPengembangan model media pembelajaran menjadi kebutuhan untuk peningkatan kualitas pendidikan di Indonesai. Mengikuti perkembangan teknologi dan informasi, model-model baru terus dikembangkan dari waktu ke waktu. Komik yang dimaknai sebagai sebuah gambar kartun berteks mampu menyampaikan sebuah pesan dengan gaya yang ringan dan menyenangkan.Tujuan pembuatan model ini untuk membuat sebuah model berformat elektronik komik (E-komik) sebagai media pembelajaran menyampaikan materi pendidikan. Dengan metode pengembangan ADDIE, yang dimulai dengan kegiatan Analisis Kebutuhan, Desain/Perancangan Model, Development Prototype, Implementasi Prototype berbentuk ujicoba prototype ke user dan dilanjutkan dengan Evaluasi hasil implementasi prototype ke lapangan model Elektronik komik ini dikembangkan. Hasil dari pengembangan ini adalah sebuah model elektronik komik yang didalamnya berupa grafis berbentuk kartun ditonjolkan untuk menyampaikan materi-materi pembelajaran sesuai dengan kurikulum yang berlaku di sekolah. Materi disampaikan dalam bentuk cerita sehingga penyampaiannya tidak kaku. Implementasi ujicoba prorotype dilapangan diperoleh data bahwa user menyukai model media pembelajaran E-komik ini dan merasa belajar seperti membaca komik dengan format digital. Kesimpulan pengembangan model E-komik yang dilakukan menjadi salah satu jawaban atas kebutuhan terhadap media pembelajaran yang inovatif, menyenangkan, efektif dan efisien, sehingga dapat meningkatkan perhatian siswa dalam memahani mata ajar. Untuk itu penerapannya dapat dilakukan secara bertahap pada SMA tertentu.

Download Full-text

DEVELOPING APPRECIATIVE LITERATURE TEXTBOOK BASED ON THEMATIC-INTEGRATIVE THROUGH ACTIVE LEARNING TO IMPROVE UNDERGRADUATE STUDENTS’ APPRECIATIVE CAPABILITY ON POETRY AND DRAMA IN ELEMENTARY TECHER EDUCATION PROGRAM

Social, Humanities, and Educational Studies (SHEs): Conference Series ◽

10.20961/shes.v1i1.23716 ◽

2018 ◽

Vol 1 (1) ◽

Author(s):

Endang Sri Markamah ◽

St. Y. Slamet ◽

Rukayah Rukayah ◽

Retno Winarni

Keyword(s):

Undergraduate Students ◽

Education Program ◽

Teacher Education Program ◽

Model Development ◽

Field Testing ◽

Analysis Model ◽

Interactive Analysis ◽

Analysis Technique ◽

Qualitative Descriptive ◽

Independent Technique

The objectives of this research were: (1) to describe students’ and lecturers’ needs on poetry and drama appreciative textbook, (2) to describe the development of textbook model (3) to find the effectiveness of textbook model 4) to describe textbook dissemination. The type of research used was research and development. Research was done through 4 stages: (1) exploration, (2) model development, (3) model testing, (4) dissemination. Exploration stage used qualitative descriptive approach. Data was collected through in-depth interviews, observation, documentation, and questionnaires. Data analysis technique was interactive analysis model. Model testing was done through experimental research. The results of this research were: (1) the exploration stage showed that the poetry and drama learning textbook used by Elementary Teacher Education Program (ETEP) studentsin Surakarta did not meet the students’ and lecturers’ need, (2) model development stage producedappreciative poetry and drama textbook through preliminary field testing; (3) model testing phase was to test effectiveness of the textbook used t-test non-independent technique.It was obtained tobtainof 23 and ttable(90; 0.05)of 1.67. Thus, tobtained (23)> ttable (1.67) which meant that the hypothesis was accepted (Ho was rejected). In conclusion, the Appreciative Poetry and Drama textbook model was effectively improve students' poetry and drama appreciation skills. Dissemination was done through national seminars, article writing in international journals, as well as the publishing of an Integrative-thematic Textbook of Poetry and Drama Learning with ISBN.

Download Full-text

Analysis model development and specification proposal of hybrid Superconducting Fault Current Limiter (SFCL)

Physica C Superconductivity ◽

10.1016/j.physc.2010.05.174 ◽

2010 ◽

Vol 470 (20) ◽

pp. 1615-1620 ◽

Cited By ~ 5

Author(s):

S. Lee ◽

J. Yoon ◽

B. Lee

Keyword(s):

Model Development ◽

Fault Current ◽

Fault Current Limiter ◽

Analysis Model ◽

Superconducting Fault Current Limiter ◽

Current Limiter

Download Full-text

Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries

Handbook of Research on Novel Soft Computing Intelligent Algorithms - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-4450-2.ch017 ◽

2014 ◽

pp. 511-537 ◽

Cited By ~ 21

Author(s):

Goran Klepac

Keyword(s):

Expert System ◽

Product Development ◽

New Product Development ◽

Customer Value ◽

Model Development ◽

Business Case ◽

Customer Segmentation ◽

Fuzzy Expert System ◽

Analysis Model ◽

Model Based

This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was divided into few stages. Due to limited budget and cost optimization, stage one was concentrated on prospective customer value calculation model based on fuzzy expert system. This helps Veza company to find most valuable telecom subscribers. It also helped company to better understand subscriber portfolio structure. Developed fuzzy expert system also helped Veza company in detection of soft churn. Stage two is profiling and customer segmentation based on time series analysis which provided potential predictors for predictive churn model. The central stage was concentrated on developing traditional predictive churn model based on logistic regression. This calculated probability that subscribers will make churn in next few months. The final stage was dedicated to SNA (Social Network Analysis) model development which found out the most valuable customers from the perspective of existing subscriber network. This model gave the answer that subscribers have the greatest influence on other subscribers in a way what is dangerous if they leave Veza company because they will motivate other subscribers to do the same thing. All three stages made complete churn detection/mitigation solution which take into consideration past behaviour of subscribers, their prospective value, and their strength of influence on other subscribers. This project helped Veza company to decrease churn rate and it gave directions for better understanding customer needs and behaviour which were the base for new product development.

Download Full-text

Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries

Research Methods ◽

10.4018/978-1-4666-7456-1.ch026 ◽

2015 ◽

pp. 559-585

Author(s):

Goran Klepac

Keyword(s):

Expert System ◽

Product Development ◽

New Product Development ◽

Customer Value ◽

Model Development ◽

Business Case ◽

Customer Segmentation ◽

Fuzzy Expert System ◽

Analysis Model ◽

Model Based

This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was divided into few stages. Due to limited budget and cost optimization, stage one was concentrated on prospective customer value calculation model based on fuzzy expert system. This helps Veza company to find most valuable telecom subscribers. It also helped company to better understand subscriber portfolio structure. Developed fuzzy expert system also helped Veza Company in detection of soft churn. Stage two is profiling and customer segmentation based on time series analysis which provided potential predictors for predictive churn model. The central stage was concentrated on developing traditional predictive churn model based on logistic regression. This calculated probability that subscribers will make churn in next few months. The final stage was dedicated to SNA (Social Network Analysis) model development which found out the most valuable customers from the perspective of existing subscriber network. This model gave the answer that subscribers have the greatest influence on other subscribers in a way what is dangerous if they leave Veza Company because they will motivate other subscribers to do the same thing. All three stages made complete churn detection/mitigation solution which take into consideration past behaviour of subscribers, their prospective value, and their strength of influence on other subscribers. This project helped Veza Company to decrease churn rate and it gave directions for better understanding customer needs and behaviour which were the base for new product development.

Download Full-text

Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries

Business Intelligence ◽

10.4018/978-1-4666-9562-7.ch023 ◽

2016 ◽

pp. 430-457

Author(s):

Goran Klepac

Keyword(s):

Expert System ◽

Product Development ◽

New Product Development ◽

Customer Value ◽

Model Development ◽

Business Case ◽

Customer Segmentation ◽

Fuzzy Expert System ◽

Analysis Model ◽

Model Based

This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was divided into few stages. Due to limited budget and cost optimization, stage one was concentrated on prospective customer value calculation model based on fuzzy expert system. This helps Veza company to find most valuable telecom subscribers. It also helped company to better understand subscriber portfolio structure. Developed fuzzy expert system also helped Veza company in detection of soft churn. Stage two is profiling and customer segmentation based on time series analysis which provided potential predictors for predictive churn model. The central stage was concentrated on developing traditional predictive churn model based on logistic regression. This calculated probability that subscribers will make churn in next few months. The final stage was dedicated to SNA (Social Network Analysis) model development which found out the most valuable customers from the perspective of existing subscriber network. This model gave the answer that subscribers have the greatest influence on other subscribers in a way what is dangerous if they leave Veza company because they will motivate other subscribers to do the same thing. All three stages made complete churn detection/mitigation solution which take into consideration past behaviour of subscribers, their prospective value, and their strength of influence on other subscribers. This project helped Veza company to decrease churn rate and it gave directions for better understanding customer needs and behaviour which were the base for new product development.

Download Full-text

Heating, Ventilation, and Air Conditioning System Optimization Control Strategy Involving Fan Coil Unit Temperature Control

Applied Sciences ◽

10.3390/app9112391 ◽

2019 ◽

Vol 9 (11) ◽

pp. 2391 ◽

Cited By ~ 4

Author(s):

Chang-Ming Lin ◽

Hsin-Yu Liu ◽

Ko-Ying Tseng ◽

Sheng-Fuu Lin

Keyword(s):

Genetic Algorithm ◽

Energy Conservation ◽

Temperature Control ◽

Control Strategy ◽

Air Conditioning ◽

Minimum Energy ◽

System Optimization ◽

Hvac System ◽

Minimum Energy Consumption ◽

Optimization Control

The objective of this study was to develop a heating, ventilation, and air conditioning (HVAC) system optimization control strategy involving fan coil unit (FCU) temperature control for energy conservation in chilled water systems to enhance the operating efficiency of HVAC systems. The proposed control strategy involves three techniques, which are described as follows. The first technique is an algorithm for dynamic FCU temperature setting, which enables the FCU temperature to be set in accordance with changes in the outdoor temperature to satisfy the indoor thermal comfort for occupants. The second technique is an approach for determining the indoor cold air demand, which collects the set FCU temperature and converts it to the refrigeration ton required for the chilled water system; this serves as the control target for ensuring optimal HVAC operation. The third technique is a genetic algorithm for calculating the minimum energy consumption for an HVAC system. The genetic algorithm determines the pump operating frequency associated with minimum energy consumption per refrigeration ton to control energy conservation. To demonstrate the effectiveness of the proposed HVAC system optimization control strategy combining FCU temperature control, this study conducted a field experiment. The results revealed that the proposed strategy enabled an HVAC system to achieve 39.71% energy conservation compared with an HVAC system operating at full load.

Download Full-text

Air conditioning stall phenomenon - Testing, model development, and simulation

PES T&D 2012 ◽

10.1109/tdc.2012.6281531 ◽

2012 ◽

Cited By ~ 5

Author(s):

Philip Irminger ◽

D. Tom Rizy ◽

Huijuan Li ◽

Travis Smith ◽

Keith Rice ◽

...

Keyword(s):

Air Conditioning ◽

Model Development ◽

Testing Model

Download Full-text

A web-based formative feedback system using isomorphic items to support Physics learning

Journal of Technology and Science Education ◽

10.3926/jotse.781 ◽

2020 ◽

Vol 10 (1) ◽

pp. 117

Author(s):

Sentot Kusairi

Keyword(s):

Model Development ◽

Learning Difficulties ◽

Feedback System ◽

Formative Feedback ◽

Model Design ◽

Development Research ◽

Initial Test ◽

Analysis Model ◽

Web Based ◽

Physics Learning

Formative feedback plays an important role in assisting students in their learning process. However, giving information about student weaknesses and strengths is one of the challenges teachers face when they try to implement formative assessment. This study aims to develop a web-based formative feedback system that is able to provide a specific one. This is a development research with steps including needs analysis, model design, model development, and limited model testing. The research has succeeded in developing a web-based formative feedback system through utilizing isomorphic items. The results of the initial test showed that the model can provide timely and effective formative feedback both individually and in groups of students. The use of this model also allows the teachers to discuss student’s learning difficulties in real time responses. The results of this study need to be followed up with the implementation of this model in more extensive trial.

Download Full-text