PEMANFAATAN MATLAB SIMULINK SEBAGAI MEDIA PEMBELAJARAN PRAKTIKUM SECARA DARING

Abstrak: Penelitian ini bertujuan untuk mendeskripsikan pemanfaatan software Matlab Simulink sebagai alternatif media pembelajaran praktikum secara daring pada matakuliah Praktek Mesin Listrik di Program Studi Pendidikan Teknik Elektro Fakultas Teknik Universitas Negeri Medan. Subjek penelitian terdiri dari seluruh mahasiswa angkatan 2019 yang mengambil matakuliah Praktek Mesin Listrik di kelas C dan D yang berjumlah 25 orang. Pengumpulan data ditempuh mulai dari observasi, wawancara, dan analisis dokumen yang berkaitan dengan permasalahan tersebut.. Teknik validasi pada penelitian ini menggunakan validasi triangulasi teknik. Hasil penelitian menunjukkan bahwa pemanfaatan software Matlab Simulink dalam proses pembelajaran pada matakuliah Praktek Mesin Listrik cukup efektif membantu dosen dan mahasiswa dalam mencapai tujuan pembelajaran. Lebih lanjut, sebagian besar para mahasiswa memberikan respon positif terhadap proses pembelajaran yang dilaksanakan. Kata Kunci : Matlab Simulink, media pembelajaran praktikum daring Abstract: This research aims to describe the use of Matlab Simulink software as an alternative to online practicum learning media in the subjects of Electrical Machine Practice in the Electrical Engineering Education Study Program of the Faculty of Engineering, Medan State University. The study subjects consisted of all students of the class of 2019 who took electrical machine practice courses in grades C and D which amounted to 25 people. Data collection is taken starting from observation, interview, and analysis of documents related to the problem. The validation technique in this study uses the validation of triangulation techniques. The results showed that the use of Matlab Simulink software in the learning process in the electrical machine practice course is quite effective in helping lecturers and students in achieving learning goals. Furthermore, most of the students gave a positive response to the learning process carried out. Keywords: Matlab Simulink, online practicum learning media

STRATEGI GURU PAI DALAM MENGEMBANGKAN KECERDASAN SPIRITUAL SISWA SECARA DARING

This study aims to determine the strategy of Islamic Education teachers in developing students' spiritual intelligence online at SMAN 1 Pantai Lunci. This type of research is qualitative using descriptive qualitative methods. The subjects of this study were PAI teachers while the informants in this study were students, BK teachers, and parents of students. Data collection techniques using observation, interviews, documentation. The data validation technique used source triangulation and technique triangulation. The data analysis technique was carried out by collecting data, reducing data, presenting data, and drawing conclusions. The results of this study indicate that the PAI teacher strategy in developing students' spiritual intelligence online at SMAN 1 Pantai Lunci is an independent learning strategy by going through several stages, namely determining learning objectives, delivering learning materials, and giving independent assignments in the form of summarizing the Angel Always with Me material which contains the value of faith and reading the Qur'an which contains the value of worship, then independent activities and the last stage is to do an evaluation.Keywords: Spiritual Intelligence, PAI Learning, Teacher Strategy�

Problematika Evaluasi Pembelajaran Bahasa Arab di Masa Pandemi

This study aims to determine the problem of evaluating Arabic learning. This research used a qualitative descriptive and subjects were Arabic language teachers and grade IX students at SMPIT Insan Rabbani, Bekasi Barat. The data collection technique used observation, interview, and documentation techniques, while the data validation technique used triangulation techniques, namely triangulation of data sources and methods. data analysis. The results showed that: (1) the planning of the evaluation of Arabic learning at SMPIT Insan Rabbani is quite good; (2) the implementation of the evaluation of Arabic learning is carried out using the google form media; (3) the problem is that it is difficult to know the students’ Arabic skills and the character or behavior of the students are difficult to monitor. The location of the house is not covered by the internet network, including minimalist student internet quotas, or an unstable internet network. Efforts made by teachers in dealing with these problems by temporarily asking students to move locations that are accessible to the internet network.

Improving power theft detection using efficient clustering and ensemble classification

One of the main concerns of power generation systems around the world is power theft. This research proposes a framework that merges clustering and classification together in order to power theft detection. Due to the fact that most datasets do not have abnormal samples or are few, we have added abnormal samples to the original datasets using artificial attacks to create balance in the datasets and increase the correct detection rate. We improved the crow search algorithm (CSA) and used the weight feature of Crows to improve performance of clustering phase. Also, to create balance between diversification and intensification, we calculated the awareness probability parameter (AP) dynamically at iterations of the algorithm. To evaluate the performance, we used the cross validation technique have used the stacking technique in its training phase. The results of extensive experiments on three reference datasets showed high performance to detect power theft. The evaluation results showed that if the data is collected correctly and sufficiently, this framework can effectively detect power theft in any actual power grid. Also, for new attacks, if their patterns can be detected from the data, it is easily possible to implement these types of attacks.

Multi sensor data and temporal image fusion cross validation technique for Agri yield monitoring system

In recent years, the diverse application in various disciplines and the versatility has gained a huge interest for the researchers to research on the multi-sensor data fusion technology. The remote sensing process involves the measurement and recording of the data from a scene. Thus, the remote sensing systems are known to be a powerful tool as they help in the earth's atmosphere and surface monitor at different scales. The remote sensing of the data faces a serious challenge as the data captured by the multiple sensors are heterogeneous. This affects the efficient processing and the effectiveness of the data that is being sensed. Thus, the increase in the diversity in data increases the ancillary datasets. These multimodal datasets are used jointly to improve the processing performance as per the application requirement. Initially, the fusion of the temporal data with the backscattered/temporal data is possible from the data retrieved from remote sensing. Many researchers made several types of research on fusing the multi-temporal and multimodal data and gave different ideas for a different type of researchers. This paper presents the cross-validation technique for monitoring the yield. This monitoring system is developed by fusing the multi-sensor data and the temporal images. This fusion is performed, and the performance of the yield monitoring system is analyzed from the results obtained. By using the cross-validation technique, the efficiency of the system is found to be improved.

Feature Selection and Uncertainty Analysis for Bubbling Fluidized Bed Oxy-Fuel Combustion Data

This paper presents a novel feature extraction and validation technique for data-driven prediction of oxy-fuel combustion emissions in a bubbling fluidized bed experimental facility. The experimental data were analyzed and preprocessed to minimize the size of the data set while preserving patterns and variance and to find an optimal configuration of the feature vector. The Boruta Feature Selection Algorithm (BFSA) finds feature vector’s configuration and the Multiscale False Neighbours Analysis (MSFNA) is newly extended and proposed to validate the BFSA’s design for emission prediction to assure minimal uncertainty in mapping between feature vectors and corresponding outputs. The finding is that the standalone BFSA does not reflect various sampling period setups that appeared significantly influencing the false neighborhood in the design of feature vectors for possible emission prediction, and MSFNA resolves that.

Salinity-Based Spatial Evaluation of Groundwater Quality for Agricultural Use

The Miandoab Plain has the largest water reserve in the province of West Azerbaijan, northwest Iran. Groundwater resources along with surface-water meet the needs of urban, industrial, and agricultural sectors, and therefore, their quality should be examined. Water quality indices are useful tools for aquifer management. In this research, the groundwater quality of the Miandoab Plain for agricultural purposes was investigated. For this purpose, the concentrations of the ions Mg2+, Ca2+, Na+, Hco3-, So42-, Cl- and the pH level were measured. The indices effective salinity and potential salinity as well as sodium adsorption ratio and electrical conductivity were analyzed to evaluate the salinity. The geostatistical analysis was performed using the GS+ software, and the zoning maps of salinity hazard were prepared using ArcGIS. To prepare the maps, EC, ES, PS, and SAR as well as Mg2+, Ca2+, Na+, Hco3-, So42, and Cl- were selected based on the semi-variogram values ​​and cross-validation technique. The Cl- map was considered as the basis for preparing the groundwater quality maps of the region. The results showed that the groundwater quality in the east of the plain is suitable, in the central part can be recommended under constant supervision, and in the west is unsuitable for agriculture. In other words, according to the geography of the plain, the recharge area is the low-risk part of the plain and the salinity hazard increases toward the discharge area. The results can pave the way for the relevant organizations to plan for the agricultural and environmental sectors.

Estimating the Memory Consumption of a Hardware IP Defragmentation Block

IP fragmentation is still prevalent on the Internet. Defragmented traffic is a prerequisite for many network processing algorithms. This work focuses on the size and organization of a flow table, which is an essential ingredient of the hardware IP defragmentation block. Previous research suggests that fragmented IP traffic is highly local, and a relatively small flow table (on the order of a thousand entries) can process most of the traffic. Samples of IP traffic were obtained from public data sources and used for a statistical analysis, revealing the key factors in achieving design goals. The findings were backed by an extensive design space exploration of the software defragmentation model, which resulted in the efficiency estimates. To provide a robust score of the simulation model, a new validation technique is employed that helps to overcome the limitations of the samples.

Pemanfaatan Logic Pro X dan E-Gamelan sebagai Alternatif Media Pembelajaran Praktik Karawitan Secara Daring

Masa darurat COVID-19 menuntut proses pembelajaran dilakukan secara daring. Hal ini menghambat proses pembelajaran praktik karawitan di SMP Negeri 2 Kretek, Bantul DIY. Oleh karena itu inovasi media pembelajaran cukup dibutuhkan seperti pemanfaatan Digital Audio Workstation (DAW) Logic Pro X dan aplikasi E-Gamelan. Tujuan penelitian ini adalah untuk mendeskripsikan penggunaan DAW Logic Pro dan E-Gamelan sebagai alternatif media pembelajaran praktik karawitan secara daring. Pengumpulan data ditempuh mulai dari observasi, wawancara, dan analisis dokumen yang berkaitan dengan permasalahan tersebut. Sumber data dalam penelitian ini adalah guru dan peserta didik di sekolah terkait. Teknik validasi pada penelitian ini menggunakan validasi triangulasi teknik. Hasil penelitian menunjukkan bahwa penggunaan media Logic Pro X dan E-Gamelan dalam proses pembelajaran praktik karawitan SMP cukup efektif membantu guru dalam mencapai tujuan pembelajaran. Lebih lanjut, sebagian besar para siswa memberikan respon positif terhadap proses pembelajaran yang dilaksanakan. The COVID-19 emergency period demands that the learning process be carried out online. This hinders the learning process of karawitan practice at SMP Negeri 2 Kretek, Bantul DIY. Therefore, learning media innovations are needed, such as Digital Audio Workstation (DAW), Logic Pro X and the E-Gamelan application. This study aims to describe the use of DAW Logic Pro and E-Gamelan as alternative media for learning karawitan practice online. Data collection was taken starting from observation, interviews, and analysis of documents related to these problems. Sources of data in this study were teachers and students in affiliated schools. The validation technique uses a triangulation validation technique. The study results indicate that using Logic Pro X and E-Gamelan media in the learning process of junior high school karawitan practice is quite effective in helping teachers achieve learning goals. Furthermore, most of the students gave a positive response to the learning process carried out.