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State University of Makassar

INTERNATIONAL CONFERENCE ON MATHEMATICS,

SCIENCES, TECHNOLOGY, EDUCATION

AND THEIR APPLICATIONS

“Recent Research and Issues in

Mathematics, Sciences, Technology, Education

and their Applications”

ICMSTEA

2014

53

th

UNM

ICMSTEA

ISBN: 979-604-151-0

2014

PROCEEDINGS

Makassar, August 20-21, 2014

IN

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20

14

Makassar, August 20-21, 2014

(2)

IN TERNATIONAL CON FERENCE ON MATHEMATICS, SCIENCES,

TECHN OLOGY, EDUCATION AND THEIR APPLICATION S

Makassar, 20

th

– 21

st

august 2013

RECENT RESEARCH AND ISSUES ON MATHEMATICS,

SCIENCE, TECHNOLOGY, EDUCATION AND THEIR

APPLICATIONS

ISBN 979-604-151-0

Mathematics and Science Faculty

(3)

SCIENCE, TECHNOLOGY, EDUCATION AND THEIR

APPLICATIONS

Editorial Board:

Syafruddin Side

Iwan Dini

Rahmat Syam

Sumarlin Muis

Ahmad Fudhail

Andi Irma Suryani

Ansari Saleh Ahmar

Muh. Aqil Rusli

Bustang

Muh. Hijrah

Irwan

Iswan Achlan Setiawan

Nur Wahidin Ashari

Wahyuddin Bara

Zulkifli Rais

Reviewer Board:

Prof. Max Warshauer

Prof. Susie Groves

Prof. Peter Hubber

Prof. Naoki Sato

Prof. Baharuddin Aris

Prof. Ismail bin Kailani

Prof. Duangjai Nacapricha

Prof. Muhammad Arif Tiro

Dr. Fran van Galen

Prof. Suratman Woro Suprodjo

Dr. Siti Nuramaliati Prijono

Oslan Jumadi, Ph.D.

Prof. Gufron D. Dirawan

Muhammad Abdy, Ph.D.

Dr. Ramlawaty

(4)

DESIG

Freud

Students who want to work in

room in their study for the de

research’ design and evaluation

two to four cycles: designing,

A range of data is collected,

children, classroom observations,

‘focus group’, one or more int

compare different approaches;

will often be just one class, st

strive for a presentation of the

evaluate the conclusions that t

research is a core element in

contribution to the conference

we deploy it in the curriculum

mathematics education, but de

school topics.

1

SIGNING AND DESIGN RESEARCH

Frans van Galen

reudenthal Institute, Utrecht University

Abstract

in education after their graduation, will benef

design and the evaluation of educational ac

tion go hand in hand. A typical design researc

ng, testing, retrospective analysis, redesign, test

d, amongst other things: tests to establish the

tions, video of classroom discussions, video of

interviews with the teachers. The aim of design

hes; there is no control group and as the group of

ss, statistical significance is not an issue. Inste

the empirical data that allows other researcher

hat the authors have drawn. Data triangulation is

in the study program for Indonesian students

nce I want to explain what we mean by design

um of our master students. My examples will

design research can also be used to improve e

(5)

MATHWORKS, MATH

Inquiry-based teaching and l

connected parts. First, we wi

curriculum development. Second,

the kind of investigations that

discuss math education rese

connected to teaching, learnin

Texas State for students and

University.

2

TH PROBLEMSAND MATH EDUCATION

Max

Texas State University, USA

Abstract

learning approaches have In this talk, ther

will describe Mathworks programs for stude

econd, we will provide some interesting probl

hat arise in our curriculum and math programs.

search, particularly focusing on ongoing and

ning and Math works programs. This include

nd faculty, and collaborations with KPM and

N RESEARCH

(6)

JOB ORIENTATION

OF FMIPA

Graduated from Iowa State U

Mathem

This study aimed to assess

FMIPAUNM. This study is

statistics program and receive

insight and orientation of stude

prepare for the learning proc

perspectives. This study was

after completing education at

students who participated, most

(58%), and further studies to be

professional statisticians (25%

Furthermore, the choice of suc

responsibilities, and worship in

happiness of parents (25%), w

means to earn income to make

conclusion of this research repor

the design of learning at Statist

Keywords

: job orientation, me

3

N OF UNDERGRADUATE STATISTICS S

IPA UNIVERSITAS NEGERI MAKASSAR

Muhammad Arif Tiro

e University, USA, Statistics professor at Facult

hematics, the State University of Makassar

Abstract

the job orientation and perspectives of sta

is important because FMIPA UNM has open

ve the first batch of 2013 with this study, is ex

students’thinking to prepare for theirfuture. Thus,

ocess to gain knowledge, skills, and expertise

conducted by surveying the opinions and ide

statistics study at FMIPA UNM. The results

most of them aspire to become civil servants

o become lecturers (50%). Partly of them also

25%) as well as being a business and economy en

of such work based on the meaning of the w

p in the life (30%), work as a means to achieve

, work as a struggle to achieve the goal of life

ake ends meet (18%), and work as identity and

eport will be used as inputs for improving: (1) c

tistics Studies Program of FMIPA UNM.

meaning of the work, undergraduate

STUDENTS

R

(7)

MEMBRA

EFFECTIVE ON-LINE TO

Nacapricha, D.

1,2

*Ur

1

Flow Innovation-Resear

2

Department of Chemistry and

Science, Ma

3

Department of Chemist

Faculty of Science, King Mong

4

Department of Chemistry, F

5

National Doping Contro

email address: duang

Membraneless vaporization de

compounds from liquid or soli

of membraneless vaporization

suitable for flow-based analy

‘pervaporation unit’ all emplo

(donor) into a headspace pa

(acceptor). The volatile gas di

property. This change in the ph

calibration for quantitative ana

presented. Future trend in deve

of volatile compounds will be di

Keywords:

Membraneless vapor

4

RANELESS VAPORIZATION DEVICES:

OOLS FOR SEPARATION OF VOLATILE

IN FLOW-BASED ANALYSIS

*Uraisin, K.

1,2

Choengchan, N.

1,3

&Ratanawim

N.

1,4

Wilairat, P.

1,2,5

search for Science and Technology Laboratories

and Center of Excellence for Innovation in Che

Mahidol University, Bangkok 10400, Thailand

istry and the Applied Analytical Chemistry Re

Mongkut’s Institute of Technology Ladkrabang

Road, Bangkok 10520, Thailand

, Faculty of Science, Srinakharinwirot Universi

Road, Bangkok 10110, Thailand

ontrol Center, Mahidol University, Bangkok 10400,

[email protected] and dnacapricha@gm

Abstract

devices are apparatus developed for on-line sepa

solid samples. Our group was the first to intro

ion as well as ‘membraneless vaporization uni

nalysis.

Conventional devices, such as ‘gas-di

ploy membranes. Volatile compound vaporize

partitioning between the sample section and

s dissolves into the acceptor leading to the chang

he physical property of liquid acceptor is used f

analysis.

In this talk, evolution of MBL-V

development of MBL-VP devices for simultane

be discussed.

vaporization;Separation; Flow-based analysis;V

:

ILE COMPOUNDS

imarnwong,

es (FIRSTLabs)

hemistry, Faculty of

nd

Research Unit,

bang, Chalongkrung

rsity, Sukhumvit 23

10400, Thailand.

gmail.com

(8)

CORRELATION BETWEE

ORGAN

Institute for Chemical R

Our research is devoted to

functional materials in the soli

unoccupied states of organic

inverse photoemission spectrosc

properties. Such results are appl

electronic functions.

Keywords:

Organic semiconduc

5

WEEN STRUCTURES AND ELECTRONIC P

ANIC SEMICONDUCTOR THIN FILMS

Naoki SATO

l Research, Kyoto University, Uji, Kyoto 611-0011,

[email protected]

Abstract

to correlation studies on structures and prope

solid state. In particular, the electronic structure

nic semiconductor thin films is studied using phot

troscopies in connection with their electronic

applicable to create novel molecular systems

onductor; Thin film; Electronic property; Electroni

PROPERTIES OF

0011, Japan.

(9)

STEM AND OER

Faculty of

While STEM stands for Scienc

Open Educational Resources.

in alleviating problems related

MIT BLOSSOMS. BLOSSOMS

Studies. This presentation wil

UTM and MIT as well the Mal

are these UTM-MIT BLOSSO

teachers and UTM lecturers

BLOSSOMS that is applicabl

institution started in January

development of UTM-MIT BL

and Malaysian culture in crea

effectiveness of UTM-MIT B

project between MoE and UTM

6

ER TO STIMULATE STUDENT ENGAGEM

Baharuddin Aris

of Education, Universiti Teknologi Malaysia

Abstract

ence, Technology, Engineering and Mathemati

s. One of the initiatives of Universiti Teknolog

ted to STEM Education is Research and Deve

OMS stands for Blended Learning Open Sourc

ill cover the why, how and when collaborati

Malaysian Ministry of Education (MoE) evolved

SOMS. Collaborative efforts between MIT Prof

ers with respect to training and developme

cable to Malaysian syllabus in secondary sc

ry 2013. This collaborative effort goes beyon

BLOSSOMS embedded with higher order thinki

reative and contextual approach. It also involve

BLOSSOMS through UTM research grants

TM in 2013.

EMENT

(10)

REPRESENTATION CON

PEDAG

Inquiry-based teaching and lea

science classrooms (Anderson,

implementation (Minna, Levy

research-developed representa

student learning and engagem

involves challenging students

models, diagrams) that const

on the text-based, definition

a

approach is based on sequenc

constructing representations

Inquiry in the science classroom

and the selective and partial

representation construction appr

illustrations from video ethnog

ideas about matter within middl

manner in which the representa

implementation through a larg

pre-service teacher curriculum

the approach are discussed suc

approach and limited practic

based teaching approaches.

7

ONSTRUCTION: A RESEARCH DEVELO

AGOGY FOR SCIENCE EDUCATION

Peter Hubber

Deakin University

Abstract

learning approaches have long been advocated

son, 2002) but have yet been realised in ter

vy & Century, 2010). This keynote address desc

ntation construction approach to teaching and

gement with the epistemic practices of science

s to generate and negotiate the representati

onstitute the discursive practices of science, ra

al versions of concepts.

The representa

ences of representational challenges which

ns to actively explore and make claims a

room becomes inquiry into ideas and how the

tial nature of such representations. The key

approach, considered a form of directed inquiry

hnographic studies of whole topics such as forc

iddle years’ science classrooms. The address w

ntation construction approach has been translat

rge scale Professional Development (PD) workshop

um courses. Issues associated with wider scale

such as ongoing support for in-service teachers

ticum experiences for pre-service teachers in

OPED INQUIRY

(11)

inquiry-IMPROVING MATHE

221 Burw

Lesson study first came to wor

Yoshida’s (1999) doctoral diss

structured problem-solving less

Study

(TIMSS). Since then, the

for professional learning. For

“spreading like wildfire across

efforts at improving teaching

implies gradual change and

underpinning teaching and lea

can be replicated elsewhere rem

which teachers can adopt struc

presentation will describe esse

bringing about improvement i

and constraints encountered in

reference to a research project,

through lesson study,

being car

Keywords:

Lesson study; mat

solving

8

HEMATICS TEACHING THROUGH LESS

Susie Groves

Deakin University

urwood Highway, Burwood 3125, Australia

+61 3 9244 6405

[email protected]

Abstract

orld-wide attention as a vehicle for profession

dissertation and Stigler and Hiebert’s (1999) ac

lessons based on the

Third International Mathem

n, there has been phenomenal growth of lesson

or example, Suratno (2012, p. 212) describes

oss Indonesia”. However, as Stigler and Hieber

ng often ignore the fact that teaching is a cultu

nd the need to take into account the cul

learning. Thus questions about the extent to w

remain (Perry &Lewis, 2009), as do questions

structured problem-solving as the basis for rese

ssential features of Japanese Lesson Study tha

nt in mathematics teaching. It will aslo discuss

in its adoption and adaptation in other countr

ct,

Implementing structured problem-solving m

carried out in a small number of Melbourne school

athematics teaching; teacher professional learn

SSON STUDY

onal learning through

accounts of Japanese

athematics and Science

on study as a vehicle

bes Lesson Study as

bert (1999) point out,

ultural activity, which

cultural assumptions

o which lesson study

ons about the extent to

esearch lessons. This

that can contribute to

uss some affordances

ountries, with particular

mathematics lessons

schools.

(12)

INTRODUCTION TO M

Faculty

Geography focus on geospher

environments by using spatia

consist of atmosphere, lithosphe

the characteristics of geospher

be analyzed as a complex natur

of geosphere are favourable pr

system approach, a model can

in the context of planning. T

resources management. The g

mathematical model. Geographe

resources such as land, water, m

etc. By using models in geogr

the geographical resourcesca

resources can be as a basic

planning and management.

Keywords

: Geography, geogr

9

O MODELLING FOR GEOGRAPHICAL R

MANAGEMENT

Suratman

ulty of Geography Gadjah Mada University

Abstract

sphere aspect of the earth in relationship with ma

spatial, ecological and regional complex analy

hosphere, hydrosphere, biosphere, andanthroph

sphere are heterogeneous from place to other pla

natural system.Ecologically, the interaction among

e processes in the developing the system. By

an be used in the determining the potential geog

. There are some types of model in geograp

he geographical models are scale model, conc

rapher will search type, pattern, and distribution

r, mineral, vegetation, land use, settlement, popul

graphy (spatial, ecological model) and also ma

scan be determined. The spatial and nume

sic for simulation in comprehensive in geog

graphical resources, system, models, resources

RESOURCES

man and other living

nalysis.The geosphere

ophosphere. Spatially,

place. Geosphere can

ong the components

By the geographical

geographical resource

raphical research for

onceptual model and

bution of geographical

population, man made

mathematical model,

numerical geographical

ographical resources

(13)

ROLE OF BIOLOGICAL

FOR

The I

The 21

st

Century has been ca

humankind’s understanding of

great scope in developing the

assurance of food security, and

animal feed . Indonesia’s strate

“green and ever-lasting Indon

process to integrate economic de

meets human needs while pre

present and the future. Achi

biodiversity and the ecosyste

sustainable use of biodiversity

Biology is a pivotal knowledge

contributing to sustainable deve

Keywords:

Biological Science

10

L SCIENCES IN DEVELOPING THE SCIE

R SUSTAINABLE DEVELOPMENT

Siti Nuramaliati Prijono

he Indonesian Institute of Sciences (LIPI)

Abstract

called a “Biology Century” because of the

of the basic processes and components of lif

he scientific basis for sustainable Development

nd in the use of biology to meet the needs for m

rategic longterm development plan (2005-2025)

ndonesia.” Indonesia believe that sustainable de

ic development and natural resources and its ecos

preserving the environment so that these needs

chieving sustainable development is made

stem services that underpin all life on earth

sity, require creativity and new advances in sci

dge component to meeting humankind’s require

development.

nces, sustainable development, Indonesia.

IENTIFIC BASIS

(14)

Improvement in mathematics e growing need for mathematic teachers and administrators wh need to develop the knowled leaders working with teacher leader takes on the roles of ac instructional leader. This site aspects of the components of a must know how to support te implement mathematics profe deepen mathematical knowled level mathematics profession mathematics achievement face such as equity leadership, assessment leadership, that w There are variety of leadership office leaders, supervisors, tea instructional materials develop

11

MATHEMATICS LEADERSHIP

Ismail Kailani

Universiti Teknologi Malaysia

[email protected]

Abstract

cs education requires new kinds of leadership. T atics teacher – leaders – specialists positione

who can assist with the improvement of mathe ledge, skills and disposition, sensibilities, lo hers to take leadership for improving mathem

active observer, participant, professional devel site-based leaders will be integral in sustaini

f a comprehensive mathematics program. Thes teachers to improve mathematics teaching pr ofessional development to achieve specific go ledge needed for teaching mathematics, which ional development. Leaders who are respon ace tremendous challenges. There are several

teaching and learning leadership, curricu will help leaders implement a high-quality m ship positions in mathematics education such team leader, coach, peer coach, new teachers m loper, and inquiry team member, etc.

(15)

507

Hendra Jaya1, Sapto Haryoko2

1,2Department of Electronics Education, Faculty of Engineering,

State University of Makassar, Parang Tambung, Sulawesi Selatan, Indonesia. e-mail address: [email protected] , [email protected]

Abstract

A hands-on approach in which the vocational students actively participate in obtaining results is used. Vocational students are taught a step-by-step procedure for applying the simulation technique which helps them answer questions about the behavior of real processes under varying conditions. They feature statistical topics that are important to students, a wealth of hands-on activities, real data sets and active experiments which motivate student participation, and graphical methods instead of complicated formulas or abstract mathematical concepts. There are numerous examples of practical problems which can be simulated using this approach and which are interesting and motivating for vocational school students. Simulation has a good transfer of learning , as studied in simulations usually good transfer to the real situation. a) The other way to increase the efficient learning is to equip students with an environment that is more conducive to study one of the real activity; b) simulation offers other advantages as well. Simulation is safe , comfortable , and can be controlled; c) simulation is also more convenient in the real world activity. d) the simulation can be used as a test. simulation is an ideal mechanism for providing the teacher to explain the lesson, to drawing conclusions and making inferences.

Keywords:laboratory simulation, real world problem.

1. Introduction

Laboratory is a scientific research, experiments, measurements or scientific training done. Laboratories are usually made to allow these activities in a controlled manner. Scientific laboratories usually differentiated according to the discipline, such as physics lab, chemistry lab, biochemistry lab, computer lab and language lab. Laboratory is used as an academic support unit in educational institutions, in the form of a closed or an open room, or a permanent move, managed systematically for testing activities, calibration, and / or production on a limited scale, using equipment and materials based on a particular scientific method, in order to implement education, research, and community service. Various efforts were made by the teacher or administrator educators to further enhance and support the learning process more effective and efficient. Although many factors that determine the quality of education or learning outcomes.

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508

reality environment called reality (Virtual Reality). VR is a form of human computer interaction in which a real or imaginary environment is simulated and the users can touch and move the world. In the most successful virtual environment, users feel that they are truly present in the simulated world and that their experience in the virtual world is comparable to what they would have done to the environment sebenarnya.Virtual Reality can be applied to various fields. In the research techniques and lmiah, virtual labs can help overcome the problems in vocational beragai especially for productive vocational subjects such as for work on hazardous equipment including the very high voltage or with expensive equipment better implemented through simulation. Simulation is a method that can be used to transfer the functions of the real problem into a form that can be represented by a computer program.

2 . Laboratory

The emergence of more complex interactive multimedia supported by the development of computer technology which gave birth to the more complex types of media as well as the combination of audio media,

video and communications, known as

multimedia computers that can be used as an alternative medium of supplements lab at the school referred to as laboratory simulation.

Laboratory is a scientific research, experiments, measurements or scientific training done . Laboratories are usually made to allow such activities in a controlled manner . Scientific laboratories are usually distinguished by the discipline, such as physics lab, chemistry lab, biochemistry labs, computer labs, and language labs.

3 . Simulation Model

Simulation is the imitation of the operation , according to the time, a real-world process or system. According to Law and Kelton (1991) simulation is a technique mimics the operations or processes that occur in a

imitating a real system that is full of complex probabilistic nature without having to experience the real situation (Ellyns, 2009) .

Furthermore , the simulation model is basically a learning strategy that provides a more concrete learning experience through the creation of a clone - clone form experience approaching the real atmosphere . From the definition of the experts above , it can be concluded that the simulation is a form of presentation by manipulating an object and make copies for the purpose of reducing misperceptions of the material - the material is complex or abstract . Variety of learning media will be able to turn the learning environment , encourage and facilitate the learning motivation understand abstract concepts or complex (Munir, 2001).

The simulation model consists of two types, namely the analog simulation and symbolic simulation. According Sunarno (2008) analog simulation using the physical representation to describe the characteristics of

a problem, while the simulation of

mathematical models that emulate symbolic solution using computers, called computer simulations . Simulation is generally used to solve a variety of problems : difficult to be solved by analytical means such as the complex electrical circuits; has a data size and high complexity; very difficult to implement directly since it requires very expensive, when the relationship between variables is not linear , and when the model has a random variable .

In the simulation approach , to solve complicated problems will be easier to do when starting to build an experimental model of a system . Learning model simulation aims to: (1) specific skills training is both professional as well as for everyday life, (2) gain an understanding of a concept or principle , (3) trained to solve problems , (4) increase the activity of learning , (5) motivate students to learn , and (6) foster students' creative power(Djati, 2007) .

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509

2) conceptual models , a description of the model will be developed ; 3) computer models , a simulation model is applied to the computer . ; and 4) solutions / understanding , is the result of a process of experimentation.

Fig 1.

Key Stages and Process of Simulation

Motivation in performing a simulation is the recognition of some of the problems that occur in the real world that would cause concern for it is necessary to run for a simulation . to propose a model that is suitable to handle it . Thus , conceptual modeling consists of the following sub - processes :

1. Develop an understanding of the problem situation

2. Determine the purpose of modeling 3. Designing conceptual models : input ,

output and content models

4. Collecting and analyzing the data needed to develop a model

In the model coding conceptual model is converted into a computer model . Here , coding is defined in the most general sense and does not have to mean computer programming . In contrast refers to the development of computer models . The model can be encoded using a spreadsheet , a special simulation software or programming language . The assumption here is that the simulation was built and performed on the computer . it should be noted that other forms of physical simulation is

to find solutions to real-world problems . One of the models developed in the study are presented by Figure 1. Consists of material, discussion forums, perogress reports, examinations, assignments, exercises, and additional files search. All of which will be presented in the form of a website through a virtual learning activities.

4 . Characteristics Simulation

The desire to do interactivity , active involvement and support of navigation in the simulation are important characteristics that contribute to the educational outcomes of these tools. In addition , an important characteristic of simulation is its validity . Various types of validity can be distinguished . Content validity revealed the degree of simulation environments in accordance with the relevant aspects , activities and operational parameters of the real environment to simulate , construct validity reveal the level at which the construction , the knowledge and skills students should have evolved in a simulated environment resembling that we use in the real world .

As according (Wiharjo, 2007),

simulations are used to demonstrate something ( skills ) so that students feel like being in a real situation . Simulation is widely used in the learning material harm , difficult , or costly , for example, to train pilots or fighter aircraft .

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510

teachers convey the message of learning to students . In the simulation model , students manggunakan computer and obtain learning materials are packaged in the form of

animations that can strengthen the

responsiveness of students to instructional material that is packaged in the form of

animations that can strengthen the

responsiveness of students to the learning material .

Basically different simulation programs with drill and practice programs , the simulation program , the students did not respond to questions but rather on creating an atmosphere closer to the actual situation , which is probably the real situation that is too expensive or too dangerous to be done by the student , but with the use of simulation it can be overcome , because the strength of the simulation is the fact that response by the computer based on the choices made by the students themselves .

5. Enable Students to Solve Real-World Problems

Simulation enables students to

incorporate systems adjacent to their area of focus, and gives them the freedom to explore designs without the risks and limitations of hardware testing. By enabling safe exploration of solutions and failures, students can develop optimized designs.Simulation makes it possible for multidomain systems such as Digital Electronics subjects: Modify the electrical circuit, construct component, inject the circuit and component, measure component in electric circuit, and evaluate the practicum (Figure 1). Models of physical systems built using simulation laboratory (Hendra, 2013:187). Exploring integrated systems helps students understand how design decisions at the

subsystem level affect system-level

performance.

Fig 2. The Scope of Simulation Process

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511

(a)

(b)

Fig 3. Practicum Process a) real world Lab, b) Simulation Lab

Besideshavingadvantages, simulationalso hasdrawbacks, including: 1) Experience gainedthroughsimulationis

notalwaysappropriateandin accordancewith thefacts on the ground; 2) poormanagement.

simulationis oftenused as ameans

ofentertainment, so thelearning objectivesto be neglected; 4) Psychological factorssuch asthe

loss ofactivity ofHands-on that are

affectingstudentsbecauseoftenperformsimulatio ns.

6. Conclussions

Simulation has a good transfer of learning , as studied in simulations usually good transfer to the real situation. a) The other way to increase the efficient learning is to equip students with an environment that is more conducive to study one of the real activity; b) simulation offers other advantages as well. Simulation is safe , comfortable , and can be controlled; c) simulation is also more convenient in the real world activity. d) the

and making inferences.

Acknowledgements

We would like to thank DP2M Dikti for financial support in fiscal year 2014.

Reference

(1) Djati, Bonett., & Satya Lelono.(2007).

Simulasi, Teori dan Aplikasinya.

Yogyakarta: Penerbit ANDI.

(2) Ellyns. (2009). Definisi Simulasi, [online]. Tersedia: (http://ellyns.wordpress.com/ 2009/08/28/definisisimulasi-2/, diakses pada tanggal 26 juni 2011.

(3) Hendra Jaya. 2013. Pengembangan

laboratorium simulasiPraktikum

elektronika digitalDi SMK. Dissertation. Yogyakarta State University. Yogyakarta.

(4) Hendra & Sapto Haryoko. 2014. 3D Simulation Laboratory Model Of

Web-Based Interactive To Improve

Accessibility, Desire To Learn, And

Competence Of Student Vocational

Subject. Prosiding. ICVET 2014.

Yogyakarta.

(5) Munir. (2001). Aplikasi teknologi

multimedia dalam proses belajar

mengajar. Jurnal Mimbar Pendidikan, 3, 9

– 17.

(6) Robinson, stewart. (2004). Simulation: The Practice of Model Development and Use. Southern Gate Chichester: John Wiley & Sons Ltd.

(7) Sunarno, W. (1998). Model Remediasi

Miskonsepsi Dinamika dengan

menggunakan Animasi Simulasi dengan

Komputer. Desertasi doktor, tidak

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512

Gambar

Fig 2. The Scope of Simulation Process
Fig 3. Practicum Process a) real world Lab, b)

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