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ANALISIS TENTANG PERSEPSI ORANG TUA TERHADAP BELAJAR ONLINE DI SEKOLAH SE-KECAMATAN SINGKEP PESISIR, KABUPATEN LINGGA Rahmahwati, Rahmahwati; Eddison, Ahmad; Supentri, Supentri
Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Vol 8, No 1 (2021): EDISI 1 JANUARI-JUNI 2021
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan

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Abstract

Abstract: This research was motivated by the difficulties of parents in helping and guiding children in learning at home during the Covid-19 pandemic. The formulation of the problem in this study is how are parents' perceptions of online learning in schools in the coastal Singkep District, Lingga Regency? The research objective was to find out how parents' perceptions of online learning in schools in Singkep Pesisir District, Lingga Regency. The benefit of the research results is that it becomes a source of learning for all parties, especially parents in responding to online learning that children undergo while at home. This research method is descriptive quantitative, the data collection instrument used in this study is a questionnaire consisting of 5 indicators with 24 questions. The population in this study were all parents of students in schools in the Singkep Pesisir District, Lingga Regency. The sample in this study was taken using a proportional sampling technique. Based on the results of the research conducted, it can be concluded that the overall data regarding parents' perceptions of online learning in schools throughout the Singkep Pesisir District, Lingga Regency is in the "Agree" category. Strongly Agree amounts to 13.42% plus the Agree results with the amount of 66.35%. that is, the sum is 79.77% with the presence in the range 68.01% - 84.00%. Thus, Parents' Perception of Online Learning in Schools in Singkep Pesisir District, Lingga Regency is "Good". Key Words: Perception, Parents, Online Learning.
The Impact of Technology Utilization and Digital Literacy on The Satisfaction of Adopting Campus Information Systems Sidharta, Iwan; Rahmahwati, Rahmahwati
Electronic, Business, Management and Technology Journal Vol. 2 No. 1 (2024): Electronic, Business, Management and Technology Journal
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/ebmtj.v2i1.142

Abstract

In the realm of education, digital literacy encompasses various aspects such as ensuring equitable access to technology, nurturing critical thinking abilities, cultivating information literacy, and instilling responsible digital citizenship. These endeavors aim to equip individuals with the essential skills and knowledge needed to effectively and responsibly navigate the vast realm of digital information. The research aims to explore the impact of technology utilization and digital literacy on the satisfaction of adopting campus information systems. The author employed a non-parametric approach, specifically PLS-SEM, in this study by conducting a survey among students who have utilized the campus information system. The research involved a total of 243 student respondents who participated through a Google Form. The validity and reliability testing indicated that the data collected was both valid and reliable. Subsequently, the author proceeded to analyze the data using Partial Least Squares. The statistical analysis of the data revealed significant evidence that the utilization of technology, as indicated by Performance Expectancy, Effort Expectancy, and Digital Literacy, influences users' attitudes towards the campus information system, ultimately impacting user satisfaction. The originality and value of the findings lie in their contribution to the existing body of knowledge in the field. The research sheds light on the relationship between technology utilization, digital literacy, attitudes towards the campus information system, and user satisfaction. By identifying and demonstrating the significant impact of these factors, the findings provide valuable insights for academia, practitioners, and decision-makers in enhancing technology adoption and improving user experiences in the educational context. Additionally, the research adds to the literature by utilizing a non-parametric approach and incorporating a large number of student respondents, thereby strengthening the validity and generalizability of the findings. One constraint of this research is its reliance on self-reported data, which has the potential to introduce biases and inaccuracies due to the subjective nature of respondents. Furthermore, the study solely focused on the perspectives of students who have already adopted the campus information system, potentially disregarding the viewpoints and experiences of non-users. Although the sample size of respondents was considerable, it may not fully represent the entire student population, thus limiting the generalizability of the findings. Additionally, since the research was carried out within a specific educational context, the applicability of the results to other settings or institutions may be constrained. To overcome these limitations, future studies could employ a variety of data collection methods, such as longitudinal designs, and include a more comprehensive and diverse range of participants.
Dampak Kepuasan Kerja Dan Lingkungan Kerja Non Fisik Terhadap Semangat Kerja Karyawan Pada Pt.Bantimurung Indah Rahmahwati, Rahmahwati; Sumardi, Sumardi; Umar, Fauziah
Economics and Digital Business Review Vol. 5 No. 1 (2024): Agustus - January
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v5i1.1431

Abstract

Penelitian ini dilakukan dengan tujuan (1) Untuk mengetahui pengaruh, menganalisis, dan memahami hubungan kepuasan kerja terhadap semangat kerja karyawan pada PT. Bantimurung Indah (2) Untuk mengetahui pengaruh, menganalisis, dan memahami hubungan kepuasan kerja dan motivasi kerja terhadap semangat kerja karyawan pada PT. Bantimurung Indah (3) Untuk mengetahui pengaruh dominan motivasi kerja terhadap semangat kerja karyawan pada PT. Bantimurung Indah. Jenis data yang kemudian digunakan dalam penelitian ini adalah kuantitatif dengan sumber data primer yaitu berupa penyebaran kuesioner, dan data sekunder yaitu berupa buku, jurnal, dan data yang diperoleh penulis dari pihak perusahaan seperti data tentang karyawan. Metode analisis yang digunakan yaitu terdiri dari analisis deskriptif, uji asumsi klasik seperti uji normalitas, dan uji multikolinearitas. Uji instrumen penelitian atau kuesioner terdiri dari uji validitas dan uji reliabilitas. Uji regresi terdiri dari analisis regresi berganda, uji koefisien korelasi (r), dan uji koefisien determinasi (r2). Uji Hipotesis terdiri dari Uji t (uji parsial). Berdasarkan hasil penelitian, menunjukkan bahwa Hipotesis 1 tidak terbukti atau ditolak. Artinya, kepuasan kerja tidak memiliki pengaruh yang signifikan terhadap terhadap semangat kerja. H2 terbukti atau diterima. Artinya, motivasi kerja memiliki pengaruh yang signifikan terhadap semangat kerja. Hipotesis 3 terbukti atau diterima. Artinya, motivasi kerja berpengaruh lebih dominan terhadap semangat kerja karyawan pada PT. Bantimurung Indah.
Implementation of C4.5 and K-Nearest Neighbor to Predict Palm Oil Fruit Production on Local Plantations Rahmahwati, Rahmahwati; Kirana, Elika Thea
Jurnal Penelitian Pendidikan IPA Vol 9 No 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.4498

Abstract

The agricultural sector, especially oil palm plantations, has an important role in the Indonesian economy. Oil palm farming has increased the welfare of farmers and provided employment. In this study, researchers used the C4.5 and K-Nearest Neighbor algorithms in the RapidMiner application to analyze oil palm fruit production data after going through the data preprocessing process. The C4.5 algorithm produces a decision tree with an accuracy of 94.12%, while the KNN algorithm achieves an accuracy of 82.53%. Based on these results, it can be concluded that the C4.5 algorithm has a higher accuracy in classifying oil palm fruit production based on existing attributes.