Average Performance Values Research Articles

AUDIT TEKNOLOGI INFORMASI DENGAN COBIT PADA SISTEM INFORMASI UNIVERSITAS METHODIST INDONESIA

Improving services in all fields in higher education is the main choice because it is closely related to stakeholder satisfaction, especially in the academic field. Information technology used in managing activities will determine the desired process and output. So it is necessary to evaluate and audit information technology to determine the achievement of performance or productivity. Universitas Methodist Indonesia has implemented Information Technology in managing academic activities ranging from new student registration to student graduation, lecturer and staff activities, research activities, and community service. COBIT is one of the tools used in auditing information systems and information technology. The audit is carried out on human resources related to system and technology management involving the Head of the Data Processing Center, Head of Administration and Information Services, Head of System Development Affairs, and Implementing Staff. To obtain data by making a questionnaire given to the audited party. From the test results on the effectiveness of the control, there is already a running control, namely PO8.1. Quality Management System, PO8.4. Customer Focus, PO8.5 Continuous Improvement, and PO8.6 Quality Measurement, Monitoring and Review, DS5.9. Malicious Software Prevention, Detection, and Correction need to be improved and continuously. Then the level of performance of the Detailed Control Objective (DCO) in the third party service management process still tends to be lacking and still needs to be improved, with the average performance value in the third party service management process being 1.5.

AUDIT TEKNOLOGI INFORMASI DENGAN COBIT PADA SISTEM INFORMASI UNIVERSITAS METHODIST INDONESIA

Improving services in all fields in higher education is the main choice because it is closely related to stakeholder satisfaction, especially in the academic field. Information technology used in managing activities will determine the desired process and output. So it is necessary to evaluate and audit information technology to determine the achievement of performance or productivity. Universitas Methodist Indonesia has implemented Information Technology in managing academic activities ranging from new student registration to student graduation, lecturer and staff activities, research activities, and community service. COBIT is one of the tools used in auditing information systems and information technology. The audit is carried out on human resources related to system and technology management involving the Head of the Data Processing Center, Head of Administration and Information Services, Head of System Development Affairs, and Implementing Staff. To obtain data by making a questionnaire given to the audited party. From the test results on the effectiveness of the control, there is already a running control, namely PO8.1. Quality Management System, PO8.4. Customer Focus, PO8.5 Continuous Improvement, and PO8.6 Quality Measurement, Monitoring and Review, DS5.9. Malicious Software Prevention, Detection, and Correction need to be improved and continuously. Then the level of performance of the Detailed Control Objective (DCO) in the third party service management process still tends to be lacking and still needs to be improved, with the average performance value in the third party service management process being 1.5.

Developing the computer-based auditory training program for adults with hearing impairment.

Although it is known that auditory training is essential for hearing-impaired individuals, patients do not willingly participate in auditory training sessions, because individual training is a time-consuming and costly process. Computer-based auditory training programs are under development for reducing the cost and time. The aim of this study is to develop a computer-based auditory training program and to evaluate the usability of the program by applying it to adults with normal hearing indifferent age groups and professions. The developed auditory training program consists of nine modules: identification, discrimination, recognition, auditory closure, comprehension, auditory sequencing, phonological awareness, auditory memory, and attention. Forty adults (age ranges of 25-34, 35-44, 45-54, and 55-65 years), nine audiologists, and one software engineer were included in this study. The computer-based auditory training program was applied to all individuals. An evaluation form was filled out by the participants to evaluate the usability of and satisfaction with the program, and the average performances of the individuals were calculated for each module. The form measures five usability subscales: ease of use, comprehensibility, design, satisfaction, and motivation. The professionals evaluated the program and found it to be quite positive in terms of design, ease of use, motivation, and comprehensibility, and positive in terms of the satisfaction subscale. The participants evaluated all factors and found them to be quite positive. There were no statistically significant differences between the gender, age, and computer use groups in terms of the average performance value of the modules (p > 0.05). However, a significant difference was found in the average performance for the auditory sequencing module considering the educational status of individuals (p = 0.019). Furthermore, it was determined that computer experience (> 5 years) and having a personal computer have a significant effect on auditory memory (p = 0.049) and identification (p = 0.027). These results show that the instructions and information used in the program are clear and understandable, the colors and texts used in the program are readable, the program is easy to use, and the individuals are not disturbed by the sounds used in the program. However, it would be valuable to apply it to individuals with hearing losses to evaluate the efficacy of the program.

Pengujian Performansi Lima Back-End JavaScript Framework Menggunakan Metode GET dan POST

Currently, JavaScript is widely used in server-side (Back-End) website development. There are five choices of Back-End JavaScript frameworks that are commonly used: Koa, Express, Plumier, Loopback, Nest. Developers need to choose which framework has the best performance in order to produce a website with the best performance. For this reason, in this research, a comparsion of performance of the five Back-End JavaScript frameworks on the HTTP protocol was carried out using the GET and POST methods. Performance measurement uses two assessment parameters: 1.) The framework's ability to handle requests per second (req/s), 2.) Decrease in data processing speed (%) related to parsing, validation, routing, requests. Each tested framework is equipped with a router, body-parser, validator, NPM. Tests were carried out ten times on GET and POST, then obtain the average performance value of each framework. The test results show that Koa has the best performance and Loopback has the worst. From the results, it is recommended that Koa, Express, Plumier, be chosen by the developer, compared to Nest and Loopback.

THE APPLICATION OF DEMONSTRATION METHODS IN LEARNING EXPLANATION TEXT MIDDLE SCHOOL STUDENTS: CLASS ACTION RESEARCH

The purposes of this research are to improve: (1) learning process quality and, (2) students skill of writing explanation text using demonstration method. This research was held at Senior High School XI Persiapan Stabat. The results of this research are: 1) demontration method can improving process quality of writing exlanation text learning of XI Science 2 of Senior High School 1 Swasta Persiapan Stabat in Academic Year of 2020/2021 that shown by improved teacher and students performance. The average value of teacher performance in cycle I is 70,83 (enough) and in cycle II is 81,05 (good). Then average value of students performance in cycle I is 59,3 (bad) and in cycle II is 81,16 (good); (2) the demonstration method can improve students skill of explanation text writting of XI Science 2 of Senior High School Swasta Persiapan Stabat in Academic Year of 2020/2021 that shown on achive of value minimum completeness, that is 75. The average of students skill of writing explanation text in cycle I is 74,7 with percentage of 62,5% and in cycle II is 82,3 with percentage of 90,9 %.

Penerapan Model Contextual Teaching And Learning (CTL) Sebagai Upaya Untuk Meningkatkan Hasil Belajar Dan Kinerja Ilmiah Fisika Siswa

This study aimed at improving learning outcomes and performance of physicalscience students. This study was an action research (classroom action research). The subjectat this study was the eleventh grade of TKB 2 students of SMKN 3 Singaraja in the semesterof academic year 2013/2014 which consisted of 19 male students. This study was conductedin two cycles with each cycle phase was planning, action, observation/evaluation, and reflection.The results of this study indicates that 1) There is an increase in scientific performanceof students where in the first cycle, the average value of scientific performance achieved bystudents is 77.37 with a high enough category, and in the second cycle it increases to 87.90which is categorized as high category; 2) There is an increase in student learning outcomesphysics where in the first cycle, the average value of the results achieved by students studyingphysics that is 73.00 while is the second cycle increased to 77.50. Classroom action researchis considered successful because it has reached the level of 94.7% completeness classical.

ANALISIS KINERJA PEGAWAI PADA PT. ASURANSI UMUM BUMIPUTERA MUDA 1967 CABANG BENGKULU

The purpose of this study was to analyze the performance of employees at PT. General Insurance for Young Bumiputera 1967 Bengkulu Branch. This research is a type of survey research that takes a sample from a participant and uses questionnaires as a data collection and participation tool for analysis, explaining and explaining certain phenomena through field research activities. The sample in this study were all employees of PT. 1967 Bengkulu branch of General Insurance Bumiputera Muda who took 18 people with the sampling method used is total sampling or census. The analytical method used in this study is a qualitative descriptive analysis method that uses the average distribution.The results of this study indicate that, the performance of PT. General Insurance for Young Bumiputera 1967 Bengkulu Branch has been very good with an average value of employee performance is 4.24. The average value of work quality is 4.49. The average value of the amount of work is 4.10. The average value of timeliness is 4.14. The average value of cooperation is 4.39. The average value of the cost resolution is 4.20. The average value of supervision is 4.17. Keywords: Quality of work, Quantity of work, Timeliness, Cooperation, Emphasis on costs, Supervision

Accrual earning management and future performance: Evidence from family firm in Indonesia

The purpose reasearch is to examine the effect of earnings management on future performance. We also will assess whether auditor have important role in family firms. The population is all companies listed on the Indonesian stock exchanges from 2012 to 2014 (financial industry was excluded). The total sample used in this study as many as 918 firm-years or observations. Model by Kaznik (1999) model was used as an earning management proxy because it better than the other models. We suggest that the average value of the firms family future performance (CFOt+1 and NIt+1) is greater than non-family firms. We also show that accrual earnings management in Indonesia is more efficiency than opportunistic. Accrual earning management which conducted by Family Firms is more efficient than Non-Family Firms. Finally, auditor in family firms will increase future performance.

Electrochemical performance of 2-meracaptobenzothiazole on the corrosion inhibition of selected metallic alloys in dilute acid media

The inhibition performance of 2-meracaptobenzothiazole on the corrosion of 316 austenitic stainless steel in 3M HCl, mild steel in 1M HCl and 1060 aluminium alloy in 2M H2SO4 solution alloy was studied by coupon measurement. Results showed the compound performed more effectively on the 316 steel with average corrosion inhibition performance result of 90% followed by the aluminium alloy with average inhibition performance value of 70%. 2-meracaptobenzothiazole performed poorly on mild steel with average inhibition performance results of 55% at low concentration and results below 0% and high inhibitor concentrations. Statistical data through showed that inhibitor concentration only influenced the inhibition performance of 2-meracaptobenzothiazole. Inhibitor concentration and exposure time were statistically relevant to the inhibition performance of 2-mercaptobenzothiazole on mild steel at varying degrees while both inhibitor concentration were statistically irrelevant to the inhibition performance of 2-meracaptobenzothiazole on 1060 aluminium alloy. Adsorption isotherm studies showed SD adsorption on the metallic alloys aligned with Langmuir, Frumkin and Freudlich adsorption with general correlation coefficient above 0.9991.

Optimized Gaussian model for non-uniform heating compensation in pulsed thermography.

This paper presents a new, to the best of our knowledge, methodology for the thermal compensation of background heating in thermograms of composites. The technique analyzes the spatial data of the thermal images obtained from a pulsed thermography inspection and automatically calculates the optimal parameters of a predefined objective function. These parameters are obtained by curve fitting using the least squares method and model the temperature distribution of the image background using the proposed objective function. To verify the methodology, we use real and synthetic images of a sample of carbon-fiber-reinforced plastic (CFRP) with defects, with diameter/depth ratios that range between 15.0 and 75.0 and between 1.7 and 90.0, respectively. The performance of the method is tested using a local and a global definition of the signal-to-noise ratio (SNR) and is statistically validated by analysis of variance. The average performance values obtained were 55.0dB and 7.0dB on synthetic images and real images, respectively. The proposed method provides superior and statistically significant differences compared to techniques reported in the literature for contrast enhancement [e.g., differential absolute contrast (DAC) and background thermal compensation by filtering (BTCF)]. Unlike contrast normalization (CN), the proposed technique stands out since it does not need to predefine variables, select reference regions, have prior knowledge of the partial (or complete) state of the material, or analyze totally (or partially) the temporal evolution of the temperature or any characteristic derived from it.

Pengukuran Kinerja Perbankan Syariah di Indonesia dan Malaysia dengan Pendekatan Shariah Maqashid Index (SMI) Tahun Pelaporan Keuangan 2013-2017

This research was conducted using the analysis of the concept of sharia maqashid index with an empirical study approach. The object of this study is Islamic banking in the Southeast Asian region, especially Indonesia and Malaysia. The results obtained from this study are the Malaysian Islamic Commercial Banks and the Indonesian Sharia Banking System still have an average performance value above Malaysia. This was obtained from the results of the assessment with maqashid shariah index and the SAW (Simple Additive Weigting) method that the majority Islamic Commercial Banks in Indonesia had the best performance at 46.22% banks, while the majority Islamic Commercial Banks in Malaysia amounted to 43.15% banks. However, from the total assessment of all performance indicators it was found that all assessment results per year and all performance indicators obtained showed that the financial performance of the Malaysian Islamic Commercial Banks was better overall with an average total rating of 1.348354 points while the total average value of the Indonesia Islamic Commercial Banks is 0.63564 points.

IMPLEMENTATION TRANSFER LEARNING CONVOLUTIONAL NEURAL NETWORK FOR POTHOLE DETECTION ON DRONE VIDEO

Pothole is one of the problems that can cause harm to a person or a lot of people and can even cost lives. So a lot of research has been done to detect potholes, especially image-based. This research uses Unmanned Aerial Vehicle (UAV) to get aerial video dataset and train Convolutional Neural Network (CNN) with the dataset. However, instead of doing learning from the beginning, transfer learning can be used to train CNN to recognize the object of a pothole and measure the value of its performance and what the optimal frame rate is. Then the results of this study indicate that the CNN model, ssd_resnet_50_fpn_coco gets an average performance value of 48.90 mAP. And the optimal frame rate with the average highest performance value at a frame rate of 30FPS with a value of 49.43 mAP, followed by 1FPS with a value of 48.36 mAP . Keywords: Performance, Transfer Learning, Convolutional Neural Network, Pothole Detection, Aerial Video.

Financial banking performance of ASEAN-5 countries in the digital era

The improvement of technology and information create a digital era in all aspects of the economy, one example is in the banking sector. This study aims to find out and compare the financial performance of banking industry in Indonesia, Singapore, Malaysia, Thailand and the Philippines in the period 2012-2017. The model used in hypothesis testing using one way ANOVA parametric test. Furthermore, using the panel regression analysis and results from coefficient of determination (R2) from the regression to see the influence of digital era on ASEAN banking financial performance. The results of the study showed that the financial performance of ASEAN-5 banks differ significantly with other ASEAN countries and the average value of Indonesian banking financial performance showed better results than the other four ASEAN countries on CAR, ROA, and NIM ratios. However, on average the LDR ratio shows that Singapore, Malaysia and Thailand are better than Indonesia. There are two of five variables that have a significant effect on bank profitability, namely the implementation of digital banking and the funding variables from third parties in banks. Other variables that are not significant are completeness in information of digital banking provided by the bank, the number of internet banking users of each bank, and the amount of credit channeled by the bank. The coefficient of determination (R2) is 41%, which means the effect of using digital banking is good enough on financial performance of bank in ASEAN. JEL Classification: G21, G32 How to Cite: Malik, N., Oktavia, A., Suliswanto, M. S. W., & Anindyntha, F. A. (2020). Financial banking performance of ASEAN-5 countries in the digital era. Jurnal Keuangan dan Perbankan, 24 (1), 117-130. DOI: https://doi.org/10.26905/jkdp.v24i1.2641

Synthetic Minority Oversampling Technique pada Averaged One Dependence Estimators untuk Klasifikasi Credit Scoring

Bank or financial institution is a business entity whose activities are collecting funds from the public in the form of deposits and channeling them to the public in the form of credit and or other forms. In credit financing problems often occur and one of the problems faced in credit assessment is imbalance class data sets or dataset class imbalances. This problem can be overcome by resampling method, namely by using Oversampling, undersampling and hybrids that combine the two sampling approaches. This research proposes the method of applying SMOTE or Synthetic Minority Oversampling Technique on Averaged One Dependence estimators (AODE) to improve the performance of the accuracy of the credit rating classification on German Credit Creditetsets. The results of this experimental study on the GermanCredit dataset with the classification method without the Resampling process on 13 classifiers produce an average performance value of 70%. The results of the classification with classification techniques that apply the SMOTE method on the AODE algorithm can increase the accuracy performance by 5.5% with an accuracy value of 0.817 or 81.69%. While the classification technique that applies the SpreadSubSample + AODE method decreased by 0.041 or 4.1% but still higher than the accuracy value of other methods with an accuracy value of 0.723 or 72.33%. The researcher concludes that by applying the Resampling technique with the SMOTE method on the AODE algorithm can increase the value of accuracy performance effectively on the imbalance class used for credit scoring or credit rating on GermanCredit datasets.

Application of the contextual teaching and learning model as an efforts to improve student results and scientific performance of student physics

This study aims to improve student learning outcomes and scientific performance of physics. This research is a classroom action research. Subject from this study were students in the semester an odd number of school year 2018/2019 as many as 19 male students. This research implemented in two cycles with each cycle stage consisting of planning, action, observation/evaluation, and reflection. The results of this study indicate that 1) there is an increase in students’ scientific performance. In the first cycle, the average value of performance the scientific achievement of students is 77.37 with a fairly high category, while at the second cycle increased to 87.90 with a very high category, 2) an increase student physics learning outcomes. In the first cycle, the average value of physics learning outcomes is achieved students are 73.00 while in cycle II it increases to 77.50. Research This class action is categorized as successful because it has reached the level of completeness Hornax of 94.7%.

Empirical Study on the Impact of Business Strategy on Annual Budget Performance

This study was aimed at studying the impact of business strategy on annual budget performance among selected private organizations with the objectives of identifying the business strategy modalities used in such an organization and compares budget performance with business growth. Purposive and sampling techniques were used to conveniently select fifteen organizations as the sample size by conducting semi-structured interviews along with the aid of questionnaires to respondents who are top management members of the targeted samples within the studies area. The response from the respondents was statistically analyzed using Origin 6.1, statistical software. The results indicated that majority of the surveyed organizations are passive on using a specific business strategy modality with response values range from 3.27 – 4.13 and Cronbach's Alpha value of 0.81, an indication that different organization pursue different goals and therefore uses different strategies to enhance the organization's budget performance and an indication of a high level of internal consistency in the surveyed organizations' business strategies. It may also be affirmed that business strategies employed helped the organizations' annual budget performance as the reported values indicated a strong agreement by the respondents with average budget performance values of 4.00 – 4.17 and Cronbach's Alpha value of 0.82. It is therefore recommended that budget strategies should be implemented diagnostically and traditionally used to ensure better budget and organization's performances.

Design optimization of building geometry and fenestration for daylighting and energy performance

With the increasing demand for sustainable design and green buildings, building performance is having a greater influence on design decisions. Design decisions on building envelop, especially on building geometry, window and skylight size and placement are essential in the early design stage. This research proposes a building performance optimization process that can help designers simultaneously evaluate the daylighting and energy performance of numerous design options and generate optimized design. The proposed method utilizes parametric design, building simulation modeling, and genetic algorithms. A case study of a small office building is conducted to test and verify the effectiveness of the optimization process. The geometry of the case study building is optimized in three different climates, Miami, Atlanta, and Chicago. After the optimization, the daylighting performance metric UDI is increased by 38.7%, 31.6%, and 28.8%, and the energy performance metric EUI is decreased by 20.2%, 18.5%, and 17.9% compared to average performance values. Sensitivity analysis is performed to analyze the relationship between design variables and performance metrics. The skylight width and length are the most important variables for all locations, while the influence of the other variables varies greatly.

Humanoid Robot as a Teacher’s Assistant: Helping Children with Autism to Learn Social and Academic Skills

Autism Spectrum Disorder (ASD) is becoming a growing concern worldwide. Parents are often not aware of the different nature of children with ASD and attempt to treat him/her the same way as other children. However, that causes more and more isolation of such children from the social interactions around them, resulting in more secluded and people-phobic behaviors. Nevertheless, similar to other children, children with ASD also like to play with toys. This observation has led to the use of toys in a way that mere playful activities could become sources of learning and skill-building, somewhat serving or assisting in the role of a human teacher. Robots have been observed to be fascinating for all children and compensating for a human companion to a certain extent. In this paper, a short study has been presented involving a humanoid robot programmed for a number of teaching and therapeutic behaviors, such as exercises, singing, explaining, and playing with children. Tests were performed on a small group of 15 children with ASD (ages 7–11) using these activities at a local school for children with special needs for a number of weeks. The objective of the study was to quantify the improvement in a number of behavior and learning parameters when children performed the activities with NAO robot present with the teacher, as opposed to the same type of activities performed by the teacher alone. The performance improvement was quantified in terms of the NAO robot activity as independent variable, and following dependent behavioral variables observed from the responses of children: (a) number of trials, (b) activity response time, (c) response type, and (d) behavior retention. Quantified findings from these tests are reported in this paper against average performance values (based on teachers and psychologists’ evaluation). The results of the study have been found to be very encouraging which demonstrates the capability of robotic toys to improve the learning process for children with ASD. The results of this study also encourage the low-cost development and usage of such robotic toy systems for teaching and therapeutic applications that help such children to become better members of society.

PENERAPAN MODEL PEMBELAJARAN GENERATIF DENGAN SETTING KELAS KOOPERATIF STAD (STUDENT TEAM ACHIEVEMENT DIVISION) UNTUK MENINGKATKAN PEMAHAMAN KONSEP KIMIA DAN KINERJA ILMIAH SISWA KELAS X MIPA 7 SMA NEGERI 5 DENPASAR TAHUN PELAJARAN 2016/2017

This classroom action research aims to: 1) improve understanding of chemical concepts, and 2) improve scientific performance of students in chemistry learning on the subject of non electrolyte electrolyte solutions and reduction oxidation reactions. This study involved 36 students of class X MIPA 7 Denpasar Senior High School 5. The object of this research are: 1) understanding of students 'chemical concepts, 2) and students' scientific performance. Data on understanding students' chemical concepts is collected from concept understanding tests, then analyzed. The research is successful if the average conceptual understanding of students is greater or equal to 75, DSS S 75% and KK KK 85%. Data on students' scientific performance aspects are collected with a scientific performance assessment rubric. Data were analyzed using ideal mean criteria. The research is successful if qualitatively the scientific performance of students is high. The results of the analysis show: (1) The application of the generative learning model with the STAD cooperative class settings can improve the understanding of the chemical concepts of class X MIPA 7 Denpasar Senior High School 5 Academic Year 2016/2017. This can be seen from the average value of students' concept understanding of 76.30 and classical completeness of 72.22%. Student absorption is 76.30% with a standard deviation of 7.88 increasing in the second cycle of 84.07 with classical completeness reaching 94.44%. The absorption of students in the second cycle was 84.07% with a standard deviation of 5.58; (2) The application of the generative learning model with the STAD cooperative class setting can improve the scientific performance of class X MIPA 7 Denpasar Senior High School 5 Academic Year 2016/2017. This can be seen from the average value of scientific performance of students in the first cycle of 52.56 with a standard deviation of 14.76 which is in the low category increased in the second cycle to 71.36 with a standard deviation of 10.89 which is in the high category. Scientific performance of students has increased from cycle I to cycle II by 35.77%.

Automated detection of schizophrenia using nonlinear signal processing methods.

Examination of the brain's condition with the Electroencephalogram (EEG) can be helpful to predict abnormality and cerebral activities. The purpose of this study was to develop an Automated Diagnostic Tool (ADT) to investigate and classify the EEG signal patterns into normal and schizophrenia classes. The ADT implements a sequence of events, such as EEG series splitting, non-linear features mining, t-test assisted feature selection, classification and validation. The proposed ADT is employed to evaluate a 19-channel EEG signal collected from normal and schizophrenia class volunteers. A dataset was created by splitting the raw 19-channel EEG into a sequence of 6250 sample points, which was helpful to produce 1142 features of normal and schizophrenia class patterns. Non-linear feature extraction was then implemented to mine 157 features from each EEG pattern, from which 14 of the principal features were identified based on significance. Finally, a signal classification practice with Decision-Tree (DT), Linear-Discriminant analysis (LD), k-Nearest-Neighbour (KNN), Probabilistic-Neural-Network (PNN), and Support-Vector-Machine (SVM) with various kernels was implemented. The experimental outcome showed that the SVM with Radial-Basis-Function (SVM-RBF) offered a superior average performance value of 92.91% on the considered EEG dataset, as compared to other classifiers implemented in this work.