Claim Missing Document
Check
Articles

Found 5 Documents
Search

Evaluation of Office Administration Internship Program in Office Administration Education Study Program Umam, Muhammad Choerul; Maureen, Irena Yolanita
Widyagogik Vol 11, No 1 (2023): Widyagogik
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/widyagogik.v11i1.20237

Abstract

The aim of this study is to provide an overview of the implementation of the Office Administration Internship Program in the PAP course. Additionally, this research aims to gather information about the obstacles and challenges faced when carrying out the internship, from planning to implementation. It is expected that comprehensive information will be gathered from various related parties, so that the results obtained can be used to design concurrent improvements and receive feedback to improve the quality of the placement organization in the future. The population of this study consists exclusively of sixth-semester students who have completed their internships, 35 partner agencies with staff related to the implementation of the internship, such as agency managers, internship supervisors, on-site lecturers as supervisors, and various policies related to the implementation of internships. Data collection was carried out using open and closed questionnaires, interviews, documentation, observation, and focus group discussions. The data analysis was carried out using qualitative descriptive analysis, comparative correlation analysis for bivariate analysis, and identification of inhibiting or supporting factors. Through this research, extensive feedback is expected to be gathered so that improvement efforts can be carried out simultaneously in accordance with each role and authority, while building higher quality synergistic collaborations.
Analisis Yuridis Bentuk Penyelesaian Sengketa Tanah Melalui Mediasi dan Arbitase Maulaya, Muhammad Zulfa; Pradana, Aditya Fani; Umam, Muhammad Choerul; Widyastuti, Tiyas Vika; Wildan, Muhammad
Journal of Contemporary Law Studies Vol. 1 No. 2 (2024): Februari
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/lawstudies.v2i1.2157

Abstract

The aim of this article is to describe the form of land rescue resolution using normative juridical analysis techniques. Settlements and land-related cases are usually settled through the official legal system and the applicable courts. There are some studies on the settlement of land disputes in Indonesia. This research uses a qualitative descriptive method, namely explaining the phenomenon or relationship of a problem in text form. The data source for this research is obtained through primary and secondary data. Primary data from this research uses legal materials consisting of: 1) the 1945 Constitution; 2) the Civil Code; and 3) Law No. 30 of 1999 regarding arbitration and settlement. The results of this research show that the form of land dispute resolution through arbitration and mediation is very appropriate to use, considering that the costs are not expensive and do not cause losses to the parties in the dispute. Mediation is a dispute settlement process involving third parties as intermediaries to help the parties reach an agreement. Mediation has been used in the settlement of land disputes in various areas of Indonesia, such as Kelurahan Mauliru District of East Sumba and Yogyakarta City. Mediation and arbitration are also methods of dispute resolution involving neutral third parties. The application of mediation and arbitration in the settlement of land disputes is expected to bring about justice and legal certainty.
Analisis pengaruh variabel makro ekonomi dalam mempengaruhi perkembangan indeks saham syariah Indonesia Umam, Muhammad Choerul
Journal of Economics Research and Policy Studies Vol. 2 No. 3 (2022): Journal of Economics Research and Policy Studies
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jerps.v2i3.570

Abstract

This study aims to determine the effect of macroeconomic variables in influencing the development of the Indonesian Sharia Stock Index (ISSI) in 2016-2020. This type of research is quantitative based on what is obtained, namely time series data related to macroeconomic variables originating from the Central Bureau of Statistics, Bank Indonesia. The data used is secondary data which consists of several variables such as inflation, exchange rate, BI rate, gold, and oil. Multiple Linear Regression data analysis method. The results show that partially the inflation variable does not affect the Indonesian Sharia Stock Index. The exchange rate does not affect the Indonesian Sharia Stock Index. BI Rate does not affect the Indonesian Sharia Stock Index. Gold affects the Indonesian Sharia Stock Index. Furthermore, oil affects the Indonesian Sharia Stock Index.
The Effect of Digital Literacy and Self Efficacy on the Job Readiness: A Case of Office Administration Education Students Winarno, Winarno; Ninghardjanti, Patni; Subarno, Anton; Umam, Muhammad Choerul
Jurnal Pendidikan Progresif Vol 14, No 2 (2024): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 The Effect of Digital Literacy and Self Efficacy on the Job Readiness of FKIP UNS Office Administration Education Students. Objectives: This study aims to (1) determine the influence of digital literacy on the job readiness of FKIP UNS Office Administration Education students, class of 2021, (2) assess the impact of self-efficacy on the readiness to become teachers among FKIP UNS Office Administration Education students, class of 2020, and (3) evaluate the combined effect of digital literacy and self-efficacy on the job readiness of FKIP UNS Office Administration Education students, class of 2021. Methods: This quantitative study involved a saturated sampling technique, including all 84 students from the Office Administration Education Study Program, class of 2021. Data were collected through structured questionnaires and analyzed using linear regression with IBM SPSS software version 25. Findings: The results indicate that (1) digital literacy significantly influences job readiness, as evidenced by a t-value of 2.526, which is greater than the t-table value of 1.996, (2) self-efficacy also significantly impacts job readiness, with a t-value of 11.892, surpassing the t-table value of 1.996, and (3) digital literacy and self-efficacy jointly have a significant effect on job readiness, as demonstrated by an F-value of 148.801, exceeding the F-table value of 3.12.Conclusion: The study concludes that both digital literacy and self-efficacy positively and significantly contribute to the job readiness of students. These factors play a crucial role in preparing students for the workforce, both individually and collectively. Keywords: digital literacy, self-efficacy, job readiness.DOI: http://dx.doi.org/10.23960/jpp.v14.i2.202491
The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School Umam, Muhammad Choerul; Sulistyaningrum I., Cicilia Dyah; Kurniawan, Dydik; Febrianto, Priyono Tri
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 4 (2024): December
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.13488

Abstract

This study aims to develop and evaluate the Enterprise School Readiness Prediction System (ESRPS) to predict children's readiness for elementary school using machine learning algorithms.  This research employs the Research and Development (R&D) method using Borg and Gall’s model and Instruments include questionnaires, programming tools, performance evaluation metrics, and web/database development tools to ensure the system's validity, reliability, and practical applicability.The research analyzes data from 300 students in various Indonesian cities, focusing on attributes like age, gender, and parental education. The system implements four algorithms: Decision Tree, Random Forest, Naive Bayes, and SVM. Data preprocessing, model training, and hyperparameter tuning were conducted, followed by evaluation using metrics like accuracy and precision. A web-based application was developed for user interaction and deployment. The result showed that the Decision Tree and Naive Bayes algorithms achieved the highest accuracy at 55%, followed by SVM at 50%, and Random Forest at 45%. This suggests that simpler models may be more suitable for the dataset's characteristics. The system also demonstrated the feasibility of practical deployment for educational use. The study concludes that ESRPS effectively uses machine learning to assess school readiness, highlighting the value of data preprocessing and model tuning in enhancing accuracy. Despite moderate accuracy levels, the study confirms the system's potential for aiding educators and parents in supporting children's transition to school.