scholarly journals PENGEMBANGAN COMPUTERIZED ADAPTIVE TESTING (CAT) DENGAN ALGORITMA LOGIKA FUZZY

2013 ◽  
Vol 15 (1) ◽  
pp. 47-70
Author(s):  
Haryanto Haryanto
Keyword(s):  
Fuzzy Logic ◽  
Research And Development ◽  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Series Data ◽  
Inference System ◽  
Fuzzy Logic Algorithm ◽  
Test Items ◽  
Quantitative Descriptive ◽  
User Friendly

Penelitian ini bertujuan menghasilkan: (1) model sistem inferensi dalam mengambil keputusan untuk memilih butir-butir tes yang tepat bagi siswa, (2) perangkat lunak Computerized Adaptive Testing (CAT) dengan algoritma logika fuzzy dalam mendeskripsikan kemampuan siswa. Penelitian dengan pen-dekatan Research and Development (R & D), terdiri atas dua bagian yaitu: (1) pengembangan program CAT, (2) pengujian program CAT pada siswa SMA Negeri 6 Yogyakarta kelas XII sebagai sampel, pada mata pelajaran Matematika dengan pokok bahasan Notasi sigma, barisan dan deret. Data dikumpulkan melalui observasi, dokumentasi, dan angket dan dianalisis secara deskriptif kuantitatif. Hasil penelitian menunjukkan program CAT: (1) mudah digunakan, tampilan interaktif, memiliki sistem keamanan, mudah diakses, dan mengacu standar kekinian, (2) dapat mengenali tiga macam pengguna saat proses login, (3) memiliki tiga macam basis data, (4) memiliki sembilan menu utama, (5) menggunakan model sistem inferensi algoritma logika fuzzy, (6) model tampilan program CAT, (7) dapat bekerja sesuai dengan fungsi dan jenis pengguna, dan (8) mampu mengelola: (a) bank soal, (b) mengemas butir-butir tes secara otomatis sesuai dengan kemampuan siswa, (c) pilihan jawaban dimunculkan secara acak, dan (d) menyimpan rekaman hasil tes secara individu maupun bersama-sama.Kata kunci: program CAT, bank soal______________________________________________________________DEVELOPING A COMPUTERIZED-ADAPTIVE TESTING WITH FUZZY LOGIC ALGORITHMAbstract The development of the Computerized-Adaptive Testing (CAT) aimed to investigate: 1) the performance of inference system in making decision to select the appropriate test items for the students, and 2) the performance of CAT program using fuzzy logic algorithm in describing the competence of students. This research and development (R&D) consists of two parts: (1) developing the CAT, (2) tested testing the CAT on mathematics at the topics of Sigma notation, sequence and series. Data were collected through observation, documentation and questionnaire and analyzed using quantitative descriptive technique. The result showed that: (1) the CAT user friendly, interactive, secure, accessible, and current and (2) able to recognize three types of users while logging-in three types of data bases, that nine options on the main menu it is able to work properly according to the function and the type of users, and administrered the bank and organize test items automatically, based on students’ competence, randomize the answer in the options, and record the result of the test simultaneously and individually.Keywords: CAT program

scholarly journals HASIL PENGUJIAN SOFTWARE COMPUTERIZED ADAPTIVE TESTING (CAT) MATA PELAJARAN PENDIDIKAN AGAMA ISLAM (PAI) DALAM MEMBUAT REKAM MEDIK PEMBELAJARAN (RMP) UNTUK MENDIAGNOSIS KEMAMPUAN SISWA DI SEKOLAH

INFERENSI ◽  
2012 ◽  
Vol 6 (2) ◽  
pp. 183
Author(s):  
Winarno Winarno
Keyword(s):  
Research And Development ◽  
Religious Education ◽  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Estimation Result ◽  
Web Based ◽  
Test Items ◽  
Islamic Religion ◽  
Development Approach ◽  
Quantitative Descriptive

This research aims at  producing a Computerized Adaptive Testing (CAT) software Islamic religion education subject (CAT PAI) for the year 7 students of public junior high schoo and  to see the results of CAT software in making rekam medik pembelajaran (RMP) to diagnose student’s ability. This research used the research and development approach. The data was collected by doing observation and documentation. Analyzedto use quantitative descriptive technique. The findings of the research shows the CAT can be developed web-based, and The CAT is able to in estimating student’s ability correct be seen RMP. Overall, the CAT software can perform the tasks well in order to select test items and to measure student’s ability from correlation value between ability estimation result (è) in CAT with  Islamic religious education subjects enough tall that is 0,69.

scholarly journals Development of Computerized Adaptive Testing for Emotion Regulation

2020 ◽  
Vol 11 ◽  
Author(s):  
Lingling Xu ◽  
Ruyi Jin ◽  
Feifei Huang ◽  
Yanhui Zhou ◽  
Zonglong Li ◽  
...  
Keyword(s):  
Emotion Regulation ◽  
Model Comparison ◽  
Computerized Adaptive Testing ◽  
Item Analysis ◽  
Well Being ◽  
Adaptive Testing ◽  
Vital Role ◽  
Test Items ◽  
Item Fit ◽  
Item Functioning

Emotion regulation (ER) plays a vital role in individuals’ well-being and successful functioning. In this study, we attempted to develop a computerized adaptive testing (CAT) to efficiently evaluate ER, namely the CAT-ER. The initial CAT-ER item bank comprised 154 items from six commonly used ER scales, which were completed by 887 participants recruited in China. We conducted unidimensionality testing, item response theory (IRT) model comparison and selection, and IRT item analysis including local independence, item fit, differential item functioning, and item discrimination. Sixty-three items with good psychometric properties were retained in the final CAT-ER. Then, two CAT simulation studies were implemented to assess the CAT-ER, which revealed that the CAT-ER developed in this study performed reasonably well, considering that it greatly lessened the test items and time without losing measurement accuracy.

scholarly journals Hardware Simulation of Rear-End Collision Avoidance System Based on Fuzzy Logic

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Noor Cholis Basjaruddin ◽  
Didin Saefudin ◽  
Anggun Pancawati
Keyword(s):  
Fuzzy Logic ◽  
Collision Avoidance ◽  
Fuzzy Inference ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Inference System ◽  
Fuzzy Logic Algorithm ◽  
Pile Up ◽  
Assistance Systems ◽  
Collision Avoidance System

Rear-end collisions are the most common type of traffc accident. On the highway, a real-end collision may involve more than two vehicles and cause a pile-up or chain-reaction crash. Referring to data released by the Australian Capital Territory (ACT), rear-end  collisions which occurred throughout 2010 constituted as much as 43.65% of all collisions. In most cases, these rear-end collisions are caused by inattentive drivers, adverse road conditions and poor following distance. The Rear-end Collision Avoidance System (RCAS) is a device to help drivers to avoid rear-end collisions. The RCAS is a subsystem of Advanced Driver Assistance Systems (ADASs) and became an important part of the driverless car. This paper discusses a hardware simulation of a RCAS based on fuzzy logic using a remote control car. The Mamdani method was used as a fuzzy inference system and realized by using the Arduiono Uno microcontroller system. Simulation results showed that the fuzzy logic algorithm of RCAS can work as designed.

scholarly journals Sistem Tes Interaktif Berbasis Computerized Adaptive Testing (CAT)

2021 ◽  
Vol 4 (1) ◽  
pp. 30
Author(s):  
Sanatang Sanatang ◽  
Muhammad Fajar B
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Systems Development ◽  
Development Life Cycle ◽  
User Friendly

Penelitian bertujuan untuk membuat sistem tes interaktif berbasis computerized adaptive testing (CAT). Penelitian ini merupakan jenis penelitian pengembangan perangkat lunak (software development) dengan menggunakan metode SDLC (Systems Development Life Cycle) dan menggunakan model Waterfall. Hasil dari penelitian ini adalah sebuah sistem tes interaktif berbasis computerized adaptive testing (CAT) yang dapat digunakan pada lembaga Testing Centre untuk mengefektifkan dan mengefisienkan kinerja lembaga Testing Centre dalam pelaksanaan tes adaptif berbasis komputer. Tanggapan responden admin terhadap aspek kemudahan administrasi/pengelolaan sistem memberikan hasil rata-rata dengan persentase 95% sehingga termasuk kategori sangat baik, dan tanggapan responden testee terhadap aspek user friendly sistem meberikan hasil rata-rata dengan persentase 89% sehingga termasuk dalam kategori sangat baik. Sistem adaptive testing yang dibangun mampu mengukur tingkat kemampuan peserta dengan berdasar pada teori respon butir dua parameter logistik.

scholarly journals A new approach to computerized adaptive testing

2017 ◽  
Vol 10 (3) ◽  
pp. 33-45 ◽  
Author(s):  
L.S. Kuravsky ◽  
S.L. Artemenkov ◽  
G.A. Yuryev ◽  
E.L. Grigorenko
Keyword(s):  
Markov Processes ◽  
Computerized Adaptive Testing ◽  
Model Identification ◽  
Testing Procedure ◽  
Adaptive Testing ◽  
Observation Data ◽  
Polytomous Items ◽  
Discrete State ◽  
New Approach ◽  
Test Items

A new approach to computerized adaptive testing is presented on the basis of discrete-state discrete-time Markov processes. This approach is based on an extension of the G. Rasch model used in the Item Response Theory (IRT) and has decisive advantages over the adaptive IRT testing. This approach has a number of competitive advantages: takes into account all the observed history of performing test items that includes the distribution of successful and unsuccessful item solutions; incorporates time spent on performing test items; forecasts results in the future behavior of the subjects; allows for self-learning and changing subject abilities during a testing procedure; contains easily available model identification procedure based on simply accessible observation data. Markov processes and the adaptive transitions between the items remain hidden for the subjects who have access to the items only and do not know all the intrinsic mathematical details of a testing procedure. The developed model of adaptive testing is easily generalized for the case of polytomous items and multidimensional items and model structures.

scholarly journals A computerized adaptive testing advancing the measurement of subjective well-being

2019 ◽  
Vol 13 ◽  
Author(s):  
Yifang Wu ◽  
Yan Cai ◽  
Dongbo Tu
Keyword(s):  
Computerized Adaptive Testing ◽  
Simulated Data ◽  
Real Data ◽  
Well Being ◽  
Adaptive Testing ◽  
Test Time ◽  
Subjective Well Being ◽  
Test Items ◽  
Item Fit ◽  
Item Functioning

AbstractThis article aimed at developing an adaptive version of the subjective well-being (SWB) scale to measure a comprehensive concept of SWB among Chinese university students. Item response theory was employed to formulate the item bank of the SWB scale and computerized adaptive testing (CAT) for SWB (CAT-SWB), based on several commonly used SWB scales, after unidimensionality testing, model selection, local dependence testing, parameter estimation, item fit test and differential item functioning (DIF) analysis were performed. Finally, two CAT simulations using simulated-data and real-data were carried out to verify and evaluate the CAT-SWB. Results indicated that the proposed CAT-SWB had an excellent performance in that it largely reduces the number of test items and the length of test time without losing measurement precision.

scholarly journals PENENTUAN KECEPATAN PUTAR KIPAS ANGIN DAN INTENSITAS LAMPU DENGAN FUZZY LOGIC MAMDANI

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Chyquitha Danuputri
Keyword(s):  
Fuzzy Logic ◽  
Light Intensity ◽  
Intelligent Systems ◽  
Smart Home ◽  
Room Temperature ◽  
Fuzzy Inference ◽  
Inference System ◽  
Fuzzy Logic Algorithm ◽  
Temperature And Humidity ◽  
The Republic

<p><em>Intelligent systems are one of the most important branches of the computer world. Computers are expected to be able to solve various problems in the real world, not just a tool for doing calculations. To make this system, algorithms are needed that are in accordance with the problems faced so that they can solve or produce the decisions needed to solve these problems appropriately. Mamdani fuzzy logic algorithm is one of the algorithms that can be applied in intelligent systems. Fuzzzy mamdani algorithm, is one part of the Fuzzy Inference System which is useful for making the best conclusion or decision in an uncertain problem. This research focuses on the calculation of the fuzzy logic algorithm in providing answers to the uncertainties found in smart home systems used to control the speed of a fan and lights, while the factors that become uncertain in controlling a fan are room temperature and humidity and For lamps, they have a factor of light intensity and time of the region, for these factors, the researchers use the Humanity Guide Hygiene standard reference for humidity and the Regulation of the Minister of Health of the Republic of Indonesia Number 1077 / Menkes / Per / V / 2011 concerning Guidelines for Air Sanitation in Home Spaces. Through this research, it can be seen that using the mamdani fuzzy logic algorithm can provide a result in the form of a decision to determine how fast a fan should rotate based on the temperature and humidity factors in the room as well as the level of light intensity that the lights must emit.</em><strong><em></em></strong></p>

scholarly journals Pengembangan sistem penilaian hasil belajar mata pelajaran menganalisis rangkaian listrik berbasis computerized adaptive testing

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Kamaruddin Kamaruddin ◽  
Haryanto Haryanto
Keyword(s):  
Research And Development ◽  
Learning Outcomes ◽  
Computerized Adaptive Testing ◽  
Standardized Test ◽  
Outcomes Assessment ◽  
Adaptive Testing ◽  
Item Bank ◽  
Assessment System ◽  
Electric Circuits ◽  
Learning Outcomes Assessment

Penelitian dan pengembangan ini bertujuan untuk: (1) menghasilkan instrumen tes terstandar untuk mata pelajaran Menganalisis Rangkaian Listrik yang tersimpan dalam bank soal elektronik; (2) menghasilkan perangkat lunak sistem penilaian berbasis CAT (SPBCAT) yang mampu melaksanakan tes secara adaptif; dan (3) SPBCAT yang mampu melakukan proses pengujian dengan unjuk kerja yang layak. Penelitian dan pengembangan ini dilaksanakan dalam empat tahap, yaitu: (1) definisi; (2) desain; (3) pengembangan; dan (4) pengujian. Kesimpulan dari hasil penelitian ini adalah: (1) instrumen tes terstandar yang berhasil dikembangkan berbentuk 105 butir pilihan ganda, tersusun dalam empat KD, dengan reliabilitas empiris, masing-masing 0,9086, 0,9067, 0,9087, dan 0,9086, dan tersimpan dalam bank soal elektronik; (2) SPBCAT mampu melaksanakan tes secara adaptif, dan menampilkan hasil tes dengan tepat; (3) perangkat lunak SPBCAT telah mampu menampilkan unjuk kerjanya secara layak dalam menguji 28 peserta tes secara serempak, dan mendapat penilaian sangat baik oleh pengguna. DEVELOPMENT OF LEARNING OUTCOMES ASSESSMENT SYSTEMS FOR ELECTRIC CIRCUITS ANALYZING SUBJECTS BASED ON COMPUTERIZED ADAPTIVE TESTINGAbstractThis research and development aim to: (1) produce standardized test instruments for Electric Circuits Analyzing subjects which is stored in an electronic item bank; (2) produce a software of learning outcomes assessment system based on CAT (SPBCAT) which able to performs test adaptively; and (3) SPBCAT which is able to perform adaptive testing process with decent performance. This research and development were conducted in four stages, i.e.: (1) the definition; (2) the design; (3) the development; and (4) the testing. The conclusions of this research are: (1) the standardized test instrument which has been successfully developed in the forms of 105 items of multiple choice, arranged in four KD, with empirical reliability is 0.9086, 0.9067, 0.9087, and 0.9086, and stored in the electronic item bank; (2) SPBCAT has been able to perform test adaptively, displays test result precisely; (3) SPBCAT has been able to show its performance properly by present test items simultaneously to 28 students and got a very good appraisal from its user.

scholarly journals Students' Attitude toward and Acceptability of Computerized Adaptive Testing in Medical School and their Effect on the Examinees' Ability

2005 ◽  
Vol 2 ◽  
pp. 105 ◽  
Author(s):  
Mee Young Kim ◽  
Sun Huh
Keyword(s):  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Test Items ◽  
Medical College ◽  
Ability Estimates ◽  
Significant Difference ◽  
Before And After ◽  
The Mean ◽  
Ability Estimate ◽  
Senior Students

An examinee's ability can be evaluated precisely using computerized adaptive testing (CAT), which is shorter than written tests and more efficient in terms of the duration of the examination. We used CAT for the second General Examination of 98 senior students in medical college on November 27, 2004. We prepared 1,050 pre-calibrated test items according to item response theory, which had been used for the General Examination administered to senior students in 2003. The computer was programmed to pose questions until the standard error of the ability estimate was smaller than 0.01. To determine the students' attitude toward and evaluation of CAT, we conducted surveys before and after the examination, via the Web. The mean of the students' ability estimates was 0.3513 and its standard deviation was 0.9097 (range -2.4680 to +2.5310). There was no significant difference in the ability estimates according to the responses of students to items concerning their experience with CAT, their ability to use a computer, or their anxiety before and after the examination (p>0.05). Many students were unhappy that they could not recheck their responses (49%), and some stated that there were too few examination items (24%). Of the students, 79 % had no complaints concerning using a computer and 63% wanted to expand the use of CAT. These results indicate that CAT can be implemented in medical schools without causing difficulties for users.

scholarly journals PENGEMBANGAN COMPUTERIZED ADAPTIVE TESTING (CAT) MENGGUNAKAN METODE POHON SEGITIGA KEPUTUSAN

2013 ◽  
Vol 16 (2) ◽  
pp. 574-592
Author(s):  
Winarno Winarno
Keyword(s):  
Maximum Likelihood ◽  
Decision Tree ◽  
Research And Development ◽  
Computerized Adaptive Testing ◽  
School Administrators ◽  
Selection Procedure ◽  
Adaptive Testing ◽  
Likelihood Method ◽  
Decision Tree Method ◽  
Tree Method

Penelitian ini bertujuan menghasilkan CAT menggunakan metode pohon segitiga keputusan dalam prosedur pemilihan item dan mengetahui kemampuan CAT dalam mengestimasi kemampuan peserta tes dengan tepat. Penelitian ini menggunakan Research and Development (R&D). Peng-ambilan data dengan observasi, dokumentasi, dan angket. Analisis data yang digunakan adalah teknik analisis deskriptif evaluatif dan teknik analisis deskriptif kuantitatif. Hasil penelitian adalah (1) CAT yang dikembangkan berdasar kebutuhan pemakai yaitu: berbasis internet, memiliki sistem ke-amanan, dan mudah diakses, (2) CAT dapat mengenali tiga pengguna, yaitu: administrator, guru, dan siswa, (3) CAT mampu memberikan butir-butir yang bersifat adaptif berdasarkan respon jawaban peserta tes. Secara keseluruhan kinerja CAT mampu melaksanakan tugas dengan baik untuk memilih butir tes dan mengukur kemampuan peserta tes dengan akurat dan tepat dilihat dari nilai korelasi antara hasil estimasi kemampuan (θ) dengan nilai ulangan murni (NUM) di sekolah siswa cukup tinggi yakni 0,67. Kata kunci: metode pohon segitiga keputusan, metode maximum likelihood ______________________________________________________________ DEVELOPING COMPUTERIZED ADAPTIVE TESTING (CAT) BY USING THE TRIANGLE DECISION TREE METHODAbstract This research aims at producing a CAT software that uses the tri-angle decision tree method in the test item selection procedure and detecting the CAT ability in estimating the test-takers’ ability accurately and correctly. This research used the research and development approach (R&D). The data were collected through observation, documentation, inquiry, and the data were analyzed descriptively and quantitatively. The findings are as follows. (1) The CAT developed is:based on users’ need, web-based, user-friendly, interactive, highly secured, and easily accessible. (2) The CAT can recognize three different users: school administrators, teachers, and students. (3) The CAT software is able to provide adaptive items according to students’ answers. Overall, the CAT software can perform the tasks well to select test items and to measure test-takers’ability. It can be seen from correlation value between ability estimation result (θ) in CAT with nilai ulangan murni (NUM) students at school which is high enough t that is 0, 67.Keywords: the triangle decision tree method, maximum likelihood method

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