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The Effect of Organizational Culture, Leader Behaviors, Job Satisfaction, and Justice On Organizational Commitment Suhardi, Muhamad; Huda, Syafaat Ariful; Mulyadi, Didi; Nazopah, Nada
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

The purpose of this research is to find out information about the effect of organizational culture, leader behaviors, job satisfaction, and justice on organizational commitment. In this study, school is considered as an organization. The study was carried out at Islamic Junior High Schools in the Mataram City, NTB. The data for this survey reseach were collected by using quesionnaires distributed to fifty-nine teachers as the samples. The data were analyzed statistically using path analysis.The results of the analyses shows that: (1) organizational culture has a positive direct effect on organizational commitment, (2) leader behaviors have a positive direct effect on organizational commitment, (3) job satisfaction has a positive direct effect on organizational commitment, and (4) justice has a positive direct effect on organizational commitment.

An Empirical Evaluation On Comparative Machine Learning Techniques For Detection of The Distributed Denial of Service (DDoS) Attacks Ojugo, Arnold; Eboka, Andrew Okonji
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

The advent of the Internet that aided the efficient sharing of resources. Also, it has introduced adversaries whom are today restlessly in their continued efforts at an effective, non-detectable means to invade secure systems, either for fun or personal gains. They achieve these feats via the use of malware, which is both on the rise, wreaks havoc alongside causing loads of financial losses to users. With the upsurge to counter these escapades, users and businesses today seek means to detect these evolving behavior and pattern by these adversaries. It is also to worthy of note that adversaries have also evolved, changing their own structure to make signature detection somewhat unreliable and anomaly detection tedious to network administrators. Our study investigates the detection of the distributed denial of service (DDoS) attacks using machine learning techniques. Results shows that though evolutionary models have been successfully implemented in the detection DDoS, the search for optima is an inconclusive and continuous task. That no one method yields a better optima than hybrids. That with hybrids, users must adequately resolve the issues of data conflicts arising from the dataset to be used, conflict from the adapted statistical methods arising from data encoding, and conflicts in parameter selection to avoid model overtraining, over-fitting and over-parameterization.

An Empirical Evaluation On Comparative Machine Learning Techniques For Detection of The Distributed Denial of Service (DDoS) Attacks Ojugo, Arnold; Eboka, Andrew Okonji
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

The advent of the Internet that aided the efficient sharing of resources. Also, it has introduced adversaries whom are today restlessly in their continued efforts at an effective, non-detectable means to invade secure systems, either for fun or personal gains. They achieve these feats via the use of malware, which is both on the rise, wreaks havoc alongside causing loads of financial losses to users. With the upsurge to counter these escapades, users and businesses today seek means to detect these evolving behavior and pattern by these adversaries. It is also to worthy of note that adversaries have also evolved, changing their own structure to make signature detection somewhat unreliable and anomaly detection tedious to network administrators. Our study investigates the detection of the distributed denial of service (DDoS) attacks using machine learning techniques. Results shows that though evolutionary models have been successfully implemented in the detection DDoS, the search for optima is an inconclusive and continuous task. That no one method yields a better optima than hybrids. That with hybrids, users must adequately resolve the issues of data conflicts arising from the dataset to be used, conflict from the adapted statistical methods arising from data encoding, and conflicts in parameter selection to avoid model overtraining, over-fitting and over-parameterization.

Design of Digital Aerial Photography System for UAV based on Wireless Sensor Network Niknamian, Sorush
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

The traditional UAV aerial photography system has the disadvantages of unclear imaging, low system efficiency and poor flight control effect. Thus, a digital aerial photography system based on wireless sensor network is proposed. Firstly, the principle of aerial photography system is analyzed, and the wireless sensor network is set up. A large number of wireless sensor nodes are deployed in the interval, and functions such as wireless communication and calculation are completed by nodes; the SN-RN data acquisition layer, the RN-UAV relay transmission layer and the UAV-DC mobile aggregation layer are designed to form a wireless sensor network architecture, and the UAV digital aerial photography technology is combined to form the wireless sensor network. Experiments show that the medium error, maximum error and medium error limit of the digital aerial photography of the UAV are low, the total working time of the system is short, and the accuracy of the flight execution of the UAV is maintained between 93%-95%, and always stable. Therefore, the overall imaging effect of this method is better, the system work efficiency is higher, the system control effect is better, and it is more practical and advantageous.

Design of Digital Aerial Photography System for UAV based on Wireless Sensor Network Niknamian, Sorush
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

The traditional UAV aerial photography system has the disadvantages of unclear imaging, low system efficiency and poor flight control effect. Thus, a digital aerial photography system based on wireless sensor network is proposed. Firstly, the principle of aerial photography system is analyzed, and the wireless sensor network is set up. A large number of wireless sensor nodes are deployed in the interval, and functions such as wireless communication and calculation are completed by nodes; the SN-RN data acquisition layer, the RN-UAV relay transmission layer and the UAV-DC mobile aggregation layer are designed to form a wireless sensor network architecture, and the UAV digital aerial photography technology is combined to form the wireless sensor network. Experiments show that the medium error, maximum error and medium error limit of the digital aerial photography of the UAV are low, the total working time of the system is short, and the accuracy of the flight execution of the UAV is maintained between 93%-95%, and always stable. Therefore, the overall imaging effect of this method is better, the system work efficiency is higher, the system control effect is better, and it is more practical and advantageous.

Students’ Perceptions toward Using YouTube in EFL Classrooms Geminastiti Sakkir; Syarifuddin Dollah; Jamaluddin Ahmad
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

The using of videos from YouTube channel in the EFL classroom is imperative to fill the educational needs of the younger generation. Although resources from textbook have remained the standard for centuries, currently, with the fast pace of the development of technology, the usage of YouTube videos in teaching and learning has become a trend. There are a few studies conducted on students’ perceptions of using YouTube to learn the English language. The objective of this research was to investigate the students’ perceptions on the use of YouTube in learning English process at English Education Department, Universitas Negeri Makassar Indonesia. Data were collected using a questionnaire that collected background information of participants and a five-point Likert scale to gauge the students’ perception use of the YouTube in EFL classroom. Findings from this research indicate that the majority of students showed a positive perception toward and a willingness to use YouTube in the EFL classroom. It was also discovered that the students have used YouTube to help them completed their course assignments and study tasks. Hence, it can be concluded that the students preferred to use English YouTube videos to help them enhance their English language level proficiency.

The Analysis of Total Flavonoid Levels In Young Leaves and Old Soursop Leaves (Annona muricata L.) Using UV-Vis Sepctrofotometry Methods Dian Anriani A. Makuasa; Purnama Ningsih
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Soursop ( Annona muricata L.) is a type of fruit plant that contains nutrients and is a traditional medicinal ingredient that has multiple properties. This study aims to determine total flavonoid levels in young and old soursop leaf extracts using a UV-Vis spectrophotometry. Extraction of chemical content in young and soursop (Annona muricata L.) leaf extracts was carried out by maceration methos using 96% ehtanol solvent. Determination of total flavonoid levels of sample extracts was carried out through absorpation measurements at a wavelength of 432 nm. The result of the quantitative test were obtained from this study, namely total flavonoid levels in the samples of young soursop leaf extract as much as 410,833 mg/100g, whereas in large soursop leaf extract samples as many as 505,208 mg/100g.

The Effectiveness of Video-Assisted Flipped Classroom Learning Model Implementation in Integral Calculus Afaniah Fahreny Jafar; Rusli Rusli; Muhammad Dinar; Irwan Irwan; Hastuty Hastuty
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

This study aimed to determine the effectiveness of applying video-assisted flipped classroom learning models in integral calculus courses. The effectiveness of learning in this study was measured based on the achievement of learning outcomes, student activities during learning, and student responses. This study was a pre-experimental study with a purposive sampling technique. The data collection method used two tests, observation sheets, and two questionnaires. Data analysis techniques were conducted by using statistical and inferential descriptive analysis. The results of the analysis showed: (1) The score of student learning outcomes has increased reaching a minimum completeness score of 70 with an average score of student learning outcomes in posttest 1 and posttest 2 of 75.28 and 78.09, (2) The average student activity is in the very active category, and (3) The average percentage of student response questionnaires on two response questionnaires, namely student response to the implementation of mathematics learning is amounted to 88%, and student response to instructional video media is amounted to84%. In general, it can be concluded that the video-assisted flipped classroom learning model is effective to be applied in mathematics learning.

The Effect of Organizational Culture, Leader Behaviors, Job Satisfaction, and Justice On Organizational Commitment Muhamad Suhardi; Syafaat Ariful Huda; Didi Mulyadi; Nada Nazopah
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

The purpose of this research is to find out information about the effect of organizational culture, leader behaviors, job satisfaction, and justice on organizational commitment. In this study, school is considered as an organization. The study was carried out at Islamic Junior High Schools in the Mataram City, NTB. The data for this survey reseach were collected by using quesionnaires distributed to fifty-nine teachers as the samples. The data were analyzed statistically using path analysis.The results of the analyses shows that: (1) organizational culture has a positive direct effect on organizational commitment, (2) leader behaviors have a positive direct effect on organizational commitment, (3) job satisfaction has a positive direct effect on organizational commitment, and (4) justice has a positive direct effect on organizational commitment.

Evaluation of speech signal features extraction methods Ismail Shayeb; Naseem Asad; Ziad Alqadi; Qazem Jaber
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.

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Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Ansari Saleh Ahmar

Contact Email journal@ahmar.id

Phone -

Journal Mail Official journal@ahmar.id

Editorial Address http://jurnal.ahmar.id/index.php/asci/about/editorialTeam

Location Unknown, Unknown INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Ansari Saleh Ahmar

Contact Email
journal@ahmar.id

Phone
-

Journal Mail Official
journal@ahmar.id

Editorial Address
http://jurnal.ahmar.id/index.php/asci/about/editorialTeam

Location
Unknown,

Unknown

INDONESIA