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All Journal Indicators : Journal of Economic and Business Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Journal of Contemporary Law Studies
Umam, Muhammad Choerul
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Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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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.
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.
Analisis Permintaan Tenaga Kerja Sektor Industri Pengolahan di Provinsi Jawa Barat Tahun 2017-2019 Umam, Muhammad Choerul
Journal of Economics and Business Vol 5, No 1 (2023): May
Publisher : Ikatan Sarjana Ekonomi Indonesia Cabang Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47729/indicators.v5i1.121

Abstract

Manufacturing industries sector is one of the sectors with the largest contribution to the economy of West Java Province. However, this condition is inversely proportional to the absorption of labor in the manufacturing industries sector which tends to be low. This study aims to the analyze influence of the district/city minimum wage, amount of unit industry, and output on the demand for labor in the manufacturing industries sector in West Java Province. The data used in this study is a combination of cross section data consist of 27 district/cities in West Java Province and 2017-2019 on time series data. The analytical method used in this study to estimate the panel data is the Fixed Effect Model (FEM). The results show that variables of the district/city minimum wage, amount of unit industry, and output simultaneously affect on the demand for labor in the manufacturing sector in West Java Province. Partially, the district/city minimum wage and variable amount of unit industry have no influence on the demand for labor in the manufacturing industries sector in West Java Province, while the variable output has a positive and significant influence on the demand for labor in the manufacturing industries sector in West Java Province.
Co-Authors Kurniawan, Dydik Maulaya, Muhammad Zulfa Muhammad Wildan Pradana, Aditya Fani Priyono Tri Febrianto Sulistyaningrum I., Cicilia Dyah Tiyas Vika Widyastuti