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All Journal TEKNIK INFORMATIKA Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Jurnal Pemikiran dan Pengembangan Sekolah Dasar (JP2SD) Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains JOIV : International Journal on Informatics Visualization IT JOURNAL RESEARCH AND DEVELOPMENT Journal of Teaching and Learning in Elementary Education Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Psychology and Instructions Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Instructional Development Journal Journal of Applied Engineering and Technological Science (JAETS) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Aksara: Jurnal Ilmu Pendidikan Nonformal Jurnal Manajemen Informatika Jayakarta Journal for Lesson and Learning Studies Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Teknik Informatika Journal of Applied Business and Technology Jurnal Elementaria Edukasia
Dewi Nasien
Instititut Bisnis Dan Teknologi Pelita Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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Analisis Ketersediaan, Pemanfaatan dan Manajemen Sarana dan Prasarana Pendidikan Dalam Pencapaian Areditasi Di SD Negeri 189 Pekanbaru Astuti, Yuli; Nasien, Dewi; Supriati, Amelia
Aksara: Jurnal Ilmu Pendidikan Nonformal Vol 10, No 1 (2024): January 2024
Publisher : Magister Pendidikan Nonformal Pascasarjana Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/aksara.10.1.11-24.2024

Abstract

Tujuan penelitian ini adalah untuk menggambarkan tentang proses manajemen sarana dan prasarana yang terjadi di SD Negeri 189 Pekanbaru. Metode yang digunakan dalam penelitian ini ialah metode penelitian kualitatif dengan rancangan studi kasus. Temuan penelitian ini meliputi ketersediaan sarana dan prasarana dan efektivitas dan efisiensi pemanfaatan manajemen sarana dan prasarana yang sudah cukup baik. Ketersediaan prasarana di SD Negeri 189 Pekanbaru telah memenuhi 54% dari ketentuan yang telah ditetapkan didalam permendiknas no 24 tahun 2007 dan pedoman akreditasi SD/MI tahun 2017 dan sarana di SD Negeri 189 Pekanbaru telah memenuhi 70%. Dalam efektivitas dan efisiensi pemanfaatan manajemen sarana dan prasarana pendidikan telah sesuai dengan ketentuan yang tercantum didalam permendiknas no 24 tahun 2007 dan pedoman akreditasi SD/MI tahun 2017.
Analisis Perbedaan Penerapan Sekolah Ramah Anak dan Kompetensi Sosial Ditinjau dari Karakater Anak SD Negeri Kota Pekanbaru Sardius, Sardius; Dewi Nasien; Amalia Sapriati
Journal for Lesson and Learning Studies Vol. 5 No. 2 (2022): July
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jlls.v5i2.53045

Abstract

The problem that occurs in schools, in general, is bullying. This problem needs to be addressed immediately so it does not become an increasingly worrying and ongoing problem. Ways to deal with violence by developing social skills. This study analyzes the differences in child-friendly school programs regarding character and social competence. This study uses quantitative analysis with comparative hypotheses to test the differences. The sample in this study was 352 children selected by proportional random sampling technique. The instrument in this study used a child-friendly school questionnaire, children's social competence, and children's character. Data analysis was performed using descriptive statistics and hypothesis testing using MANOVA. The data analysis results show differences in child-friendly school programs regarding children's character. Children with polite character have a very good perception of implementing the Child-Friendly School program. Second, there are differences in children's social competence in terms of the child's character. Children with polite character have very good social competence, while those with self-confidence and discipline have poor social competence results.
Application of Quizzes “BelajarKuy” for Junior High School Based on Android Nasien, Dewi; Adiya, M. Hasmil; Sirait, Andrio Pratama; Ihsan, M. Nurul; Wicaksono, Mahfuzan Hadi
International Journal of Electrical, Energy and Power System Engineering Vol. 2 No. 3 (2019): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.313 KB) | DOI: 10.31258/ijeepse.2.3.1-4

Abstract

In today’s social life, many children to students use gadgets in their daily life. Their gadgets are used mostly android. Android is utilized for all activities namely, games, social media, and others. Besides, the gadget also can be used for education such as quizzes. In this paper, BelajarKuy is proposed for education, especially for junior high school. BelajarKuy is a quiz application based on Android and it uses Java programming language. BelajarKuy contains some questions that are useful for sharpening the brains for students and teachers. Besides, BelajarKuy contains several quizzes which are Mathematics, Bahasa Indonesia, English, Science, Religion, Civic Education, and Social Education. Each quiz has twenty questions and there are four answer choices namely, A, B, C and D. However, it has a solution to the question. At the end of this quiz, students can see scores for all right and wrong questions. This is very helpful in preparing them before an exam that will be given by teachers.
Decision Support System for Selecting University in Pekanbaru Based on Android Dewi Nasien; M. Hasmil Adiya; Mulyadi, Ahmad; Sukabul, Ahmad; Rianda, Gilang; Yulianti, Deni
International Journal of Electrical, Energy and Power System Engineering Vol. 3 No. 2 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.3.2.30-34

Abstract

Nowadays development of technology is growing fast, especially Android Operating System (OS). Android is a technology that can help human to improve their works both quality and quantity, e.g. making decisions. This study discusses the application of decision support systems to select university. Many students are still confused to select the best university for them. Hence, this application aims to assist students for making decisions using weighted product (WP) method. It exploits some criteria namely, distance, university accreditation and number of lecturers. The research methodology are used namely problem analysis, analysis both hardware and software requirements, design system, implementation and testing. Ultimately, application can be utilized. This application is built on Android Studio and Java Development Kit. It is implemented in Universities in Riau. This application can help students to choose the best university quickly and accurately.
The Best Smartphone Brand using The Preference Selection Index Method Angriawan, Sherkhing; Dewi Nasien; M. Hasmil Adiya; Roni Sanjaya; Yenny Desnelita; Feri Candra
International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 2 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.5.2.37-44

Abstract

The existence of the Covid-19 pandemic has had a tremendous impact in all aspects, including the educational aspect. Before the pandemic, education generally is done by face-to-face learning, but after the pandemic hit, it changed to online learning. Several problems often occur during online learning education, especially for college students, such as a mobile phone that does less support for online learning activities. Hence, the author wants to build an application that has the function of helping users to choose a mobile phone which supports online learning activities. The selection decision used by the author is the Preference Selection Index method since it can determine the value for each attribute and continue with a ranking that is able to select each attribute from the best alternative from several existing alternatives, with the help of a decision support system and application of the PSI (Preference Selection Index) method. The result indicates that the highest value obtained from smartphone selection with an average price under 3 million rupiah is infinix by 90.88%. The application's output meets the purpose because it is able to provide recommendations to buyers in determining which smartphone to buy and can simplify the decision-making process to become more accurate, effective, and efficient in generating information.
Application Of Machine Learning K-Nearest Neighbour Algorithm To Predict Diabetes Jack Billie Chandra; Dewi Nasien
International Journal of Electrical, Energy and Power System Engineering Vol. 6 No. 2 (2023): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.6.1.117-121

Abstract

Diabetes is a chronic disease characterized by high blood sugar (glucose) levels or above abnormal values. This can occur when the body is no longer able to absorb glucose properly or when the intake of glucose is higher than needed. Glucose is the main energy source for the cells of the human body. Glucose that accumulates over the long term in the body can lead to complications and more serious and life-threatening diseases. As a result, patients with diabetes must be predicted prior to the onset of disease complications. Machine learning is one of the branches of artificial intelligence that can be used to provide predictive value to datasets of diabetic patients. The tested dataset has 390 observations with data on cholesterol levels, glucose, HDL cholesterol, cholesterol ratio, age, gender, blood pressure, BMI, waist and hip width with its ratio, and the patient's height and weight as variables. Predictions are applied using the K-Nearest Neighbor method, which shows an accuracy of 93.58% with a k value of 3, using 20% of all data as test data.
Implementation of the Winnowing Algorithm in Detecting Plagiarism in Title and Abstract of Student's Final Project Nasien, Dewi; Putra Yansen, Eka
IT Journal Research and Development Vol. 7 No. 1 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.7897

Abstract

In this modern era, technology has become more sophisticated. All information can be accessed quickly and efficiently. Nevertheless, when surfing the internet to search for information, people frequently find it almost similar and even have no different. Moreover, to news information content on the internet, similarities are found in final semester student research titles and abstracts as well. In preventing this, the researchers explored how to establish a website design by checking the similarity of titles and abstracts with winnowing method, which is exacted to complete examining the similarity of titles and abstracts on students' final assignments. The researchers applied dummy data obtained from Google Scholar for this study. The results revealed that the application of the winnowing method can aid in achieving similar results from the student's final assignments. It is deliberated as a benchmark for accepting a title and abstract at a university and reducing plagiarism.
Analisis Penilaian Kinerja Guru Menggunakan Metode Multifactor Evaluation Process Melalui Key Performance Indikators di SD Negeri 2 Selat Panjang Suliana; Nasien, Dewi; Tatminingsih, Sri
Jurnal Pemikiran dan Pengembangan Sekolah Dasar (JP2SD) Vol. 12 No. 2 (2024): September 2024
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jp2sd.v12i2.34801

Abstract

This research is driven by various issues related to the quality of teacher performance at SD Negeri 2 Selat Panjang, which include 1) the low educational qualifications of teachers who have not yet attained a bachelor's degree (S1/D4); 2) limited skills in writing and publishing scientific papers; 3) low participation and experience in academic forums; and 4) low levels of academic achievement among teachers. Therefore, this study aims to: 1) Analyze the results of a teacher performance evaluation using the multifactor evaluation process method through key performance indicators at SD Negeri 2 Selat Panjang, and 2) Develop strategies for improving teacher performance at SD Negeri 2 Selat Panjang based on the results of the multifactor evaluation process. This research employs a descriptive quantitative approach. The population consists of all 25 teachers at SD Negeri 2 Selat Panjang. Data collection techniques include field observation, expert opinion, performance assessment questionnaires, and the calculation of teacher performance levels, which are then analyzed descriptively. The results indicate that: 1) The performance scores of the 25 teachers at SD Negeri 2 Selat Panjang range from 20, categorized as very poor, to 40, categorized as poor; 2) The average scores for academic competence, academic achievement, professional development activities, and participation in scientific forums are 21.36, 6.00, 5.25, and 8.08, respectively; 3) The overall performance score of the teachers at SD Negeri 2 Selat Panjang is 40.68, categorized as poor; and 4) Enhancing teacher performance at SD Negeri 2 Selat Panjang requires collaborative efforts between the teachers and the principal.
Employee Attendance System Using Rapid Application Development Method Based on Location Based Service Nazara, Elvin Meiwati; Nasien, Dewi
Journal of Applied Business and Technology Vol. 5 No. 2 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i2.148

Abstract

Employee attendance is the main benchmark in assessing employee performance and discipline, as well as providing important data for company management. The use of information technology, such as computers, has helped companies make decisions effectively. However, some companies face obstacles in the employee attendance process, especially in manual or finger print situations, and absence management. By utilizing GPS technology or similar LBS technology to detect employee presence. In this context, mobile technology, especially smartphones, has an important role in providing fast and accurate access to information. The RAD method is used in making application prototypes with repeated iterations, enabling fast development and efficient improvements. The aim of this research is to apply the LBS method to support absenteeism. This application allows employees to take attendance on time via their smartphones, with attendance data directly stored in the company's servers and databases. In addition, the Global Positioning System (GPS) feature allows tracking the location of employees who are on external service. It is hoped that the results of this research can help companies minimize the problem of employee absenteeism, increase the efficiency of work processes, and provide faster and more accurate access to information. The RAD and LBS methods have proven their effectiveness in overcoming absenteeism problems and speeding up work flow. Apart from that, this research also underlines the importance of employee discipline in achieving company goals.
Development of E-Comic to Increase the Spirit of Mutual Cooperation and Learning Achievement of Elementary School Students Zeva Adi Fianto; Fitri Indriani; Anwar Senen; Cici Oktaviani; Dewi Nasien
Jurnal Elementaria Edukasia Vol. 7 No. 4 (2024): Desember
Publisher : Elementary Teacher Education Program, Majalengka University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jee.v7i4.11932

Abstract

Technology has a big positive impact on integration in the world of education. The aim of this research is to produce an e-comic about my environment to increase the spirit of mutual cooperation and appropriate, practical and effective learning achievements. This development research uses the ADDIE research model. The research subjects were 102 students and 4 teachers at elementary school cluster II, Kasihan subdistrict, Bantul district, Yogyakarta. Data collection techniques used interviews, needs analysis questionnaires, validation questionnaires, response questionnaires, self-assessment questionnaires, and pretest posttest. Data analysis used the independent sample t-test, paired sample t-test, and MANOVA test. The results of the independent sample t-test show a significant value of 0.019<0.05. The results of the paired sample t-test show a significant value of 0.002 <0.05. The MANOVA test results show a significant value of 0.006<0.05. Overall, there is a significant difference in the spirit of mutual cooperation and learning achievement between students who use e-comics and those who do not use the results of research on the development of e-comic material my environment. The spirit of mutual cooperation and learning achievement of students who use e-comics increases compared to those who do not use e-comics. It was concluded that e-comics were declared feasible, practical and effective for use as learning media.
Co-Authors Adiya, M. Hasmil Agus Joko Purwanto Agus Setiawan ahmad kamal, ahmad Ahmad Mulyadi Akbar Marunduri, Alberta Alin Meisya Putri Alyauma Hajjah Amalia Sapriati Andi Andi Anggara, Devi Willeam Angriawan, Sherkhing Anwar Senen Baharum, Zirawani Butar-Butar, Rio Juan Hendri Charles Lo, Kevin Charles Wijaya, Ryan Cia, Alexander Cici Oktaviani Dahliyusmanto, Dahliyusmanto Darwin, Ricalvin Deny Deny, Deny Deny Jollyta Desnelita, Yenny Devi Willieam Anggara Diniya, Diniya Dipuja, Diah Anugrah Erlin Erma Yunita Farkhan, Mochammad Fenly, Fenly Feri Candra Firman Afriadi Fitri Indriani Fitriani, Mike Go, Jerry Gusman, Taufik Gustientiedina Habibollah Haron Ihsan, M. Nurul Iis Afrianty Iis Afrianty Imran B. Mu’azam Jack Billie Chandra Jesi Alexander Alim Johan Johan Johanes Johanes, Johanes Leo Winata, Andrean Leo, Leo Lina Warlina Lombu, Frendly M.C, Richard Mahbubah, Khoiro Mahmud Dwi Sulistiyo Marlim, Yulvia Nora Mestika Sekarwinahyu Mike Fitriani Muhammad Rakha Muhammad Ridha Nazara, Elvin Meiwati Neni Hermita Nopendri Nopendri Nor Fatihah Ismail Nurwijayanti Oraple, Ezri Trivena Owen, Steven Pamungkas, Dwi Pandapotan, Boris Yosua Prawinata See, Richardo Putra Yansen, Eka Rahmadhani, Ummi Sri Rahmadian Yuliendi, Rangga Ramalia Noratama Putri Ria Asrina Marza Rianda, Gilang Rio Asikin Rio Rokhima, Nur Roni Sanjaya Ryan Syahputra, Ryan Syahputra Salama A. Mostafa Samah, Azurah A. Sardius, Sardius Setiawan, Laurensius Rendi Siddik, M. Sirait, Andrio Pratama Sirvan, Sirvan Sri Tatminingsih Sukabul, Ahmad Suliana Supriati, Amelia Suroyo Suroyo Tavip, Achmad Wicaksono, Mahfuzan Hadi Wijaya, Tommy Tanu Wilda Susanti Yacob, Azliza Yuli Astuti Yulianti, Deni Yusnita Rahayu Zetra Hainul Putra Zeva Adi Fianto Zirawani Baharum