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Sehat Berinternet untuk Anak Sekolah Selama Masa Pandemi di SD IT Ulul Albab Ria Rismayati; Ismarmiaty Ismarmiaty
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 2 No 1 (2021): Juli 2021
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (932.684 KB) | DOI: 10.30812/adma.v2i1.1197

Abstract

The impact of the Covid 19 pandemi, which began in 2020, has changed almost all aspects of life, especially teaching and learning activities. Teaching and learning activities which are generally carried out face-to-face, during this pandemi, were implemented online or online using the internet media. The use of the internet among ustadz, ustadzah and students of SD IT Ulul Albab is not an obstacle, especially as children in this era grow up with the internet which has become an important part of the surrounding environment and the internet is easily accessed at home, school and other public facilities. From every facility obtained from the internet, of course, it produces 2 sides that are positive and negatif, and to reduce the negatif impact of activities that involve the internet, there is a need for assistance, direction and socialization of the internet in a healthy and safe manner. In the service that was carried out at SD IT Ulul Alabini, it was given assistance and socialization to ustadz and ustadzah in representing healthy internet access which would then be passed on to their students. From this service, an evaluation was also carried out by distributing questionnaires related to the results of the socialization carried out in conveying the material, that the participants of this service gained added value to utilize the internet media in a healthy manner as a learning tool for 89% of the participants who attended.
Ensemble Implementation for Predicting Student Graduation with Classification Algorithm Ria Rismayati; Ismarmiaty Ismarmiaty; Syahroni Hidayat
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 1 (2022): March 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.941 KB) | DOI: 10.30812/ijecsa.v1i1.1805

Abstract

Graduating on time at the higher education level is one of the main targets of every student and university institution. Many factors can affect a student's length of study, the different character of each student is also an internal factor that affects their study period. These characters are used in this study to classify data groups of students who graduated on time or not. Classification was chosen because it is able to find a model or pattern that can describe and distinguish classes in a dataset. This research method uses the esemble learning method which aims to see student graduation predictions using a dataset from Kaggle, the data used is a IPK dataset collected from a university in Indonesia which consists of 1687 records and 5 attributes where this dataset is not balanced. The intended target is whether the student is predicted to graduate on time or not. The method proposed in this study is Ensemble Learning Different Contribution Sampling (DCS) and the algorithms used include Logistic Regression, Decision Tree Classifier, Gaussian, Random Forest Classifier, Ada Bost Classifier, Support Vector Coefficient, KNeighbors Classifier and MLP Classifier. From each classification algorithm used, the test value and accuracy are calculated which are then compared between the algorithms. Based on the results of research that has been carried out, it is concluded that the best accuracy results are owned by the MLPClassifier algorithm with the ability to predict student graduation on time of 91.87%. The classification model provided by the DCS-LCA used does not give better results than the basic classifier of its constituent, namely the MLPClassifier algorithm of 91.87%, SVC of 91.64%, Logistic Regression of 91.46%, AdaBost Classifier of 90.87%, Random Forest Classifier of 90.45% , and KNN of 89.80%.
Meningkatkan Motivasi Belajar Siswa Melalui Pemberian Reward dan Punisment bagi Siswa Madrasah Tsanawiyah Ahmad Ahmad; Parihin Parihin; Halimatuzzahrah Halimatuzzahrah; Miftahul Jannah; Ria Rismayati; Suriyati Suriyati
Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) Vol. 4 No. 2 (2021): Juni
Publisher : Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1013.035 KB)

Abstract

The purpose of this study is to find out how students' motivation after being given Reward and Punishment, Kedalan faced and solutions to obstacles faced when given Reward and Punishment for Grade VIII MTs Students Nurul Yaqin Kelanjur. This research was designed with a cauldronative research method with descriptive characteristics. Qualitative research is research that produces descriptive data in the form of written or spoken words from people and behavior that can be observed. The data collection method used is observation method, interview, and documentation. Data analysis methods are inductive with data reduction preparation, data display, and inference preparation steps. The results of this study showed that rewarding and punishment in grade VIII MTs Nurul Yaqin Kelanjur has a positive influence on students' learning motivation. The form of reward applied in Class VIII MTs Nurul Yaqin Kelanjur is a reward in the form of material and non-material. Reward in non-material form in the form of praise, support, appreciation, and so forth. While the reward in the form of material in the form of giving books, certificates, trophies, scholarships, and so forth. While the form of punsihment applied is punishment in the form of speech, such as criticism, scorn, bentakan and threats. Punishment in physical form is rarely done, except in very forceful circumstances and no other punishment is used to change the student's behavior in a better direction. Reward and punishment in MTs Nurul Yaqin Kelanjur encountered various problems that can cause the application of reward and punishment to be less effective. However, by working with parents, teachers and principals can overcome various problems, so that the application of reward and punishment can be carried out effectively in increasing student learning motivation.
GROUP DECISION SUPPORT SYSTEM PADA PENYELEKSIAN ATLET TAEKWONDO Ni Luh Putu Merawati; La Dzunnafi Arridlwany; Ismarmiaty Ismarmiaty; Ria Rismayati
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2764

Abstract

Taekwondo is a popular martial art sport that originated in Korea that developed in Indonesia in 1975 under Taekwondo Indonesia where the management of provincial activities was supervised by the Provincial Board. This study aims to assist the needs of multi-criteria decision making with the concept of Group Decision Support Systems for selecting Taekwondo athletes in West Nusa Tenggara. This system involves two decision makers, namely the Chief Executive of Pengprov and the Trainer. The method used in calculating decision making is the Weighted Product and Borda methods. The criteria used are geup, weight and age on the cost criteria, and medal criteria, charter, height, push ups, sit ups and balke on the benefits criteria. The data used in this study are 30 alternative data of Taekwondo members who are in the men's division. The stages of the research include: problem analysis, data collection, data initialization, implementation of the Weight Product method, implementation of the Borda method and analysis of the results & drawing conclusions. The results provide decision recommendations for the top 10 best assessments consisting of A25, A19, A14, A09, A26, A28, A01, A04, A07 and A06. Furthermore, the results of the analysis using the division of class categories based on body weight produce alternative data that are not evenly distributed in each class category. This provides more information to decision makers by considering the results of athlete rankings with the needs of prospective athletes in the weight class category.GROUP DECISION SUPPORT SYSTEM PADA PENYELEKSIAN ATLET TAEKWONDO