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All Journal Instal : Jurnal Komputer Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance Jurnal Pengabdian Pancasila (JPP) Jurnal Komputer Indonesia (JU-KOMI)
Rozi, Ahmad
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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 1 
Community Service: Education to the Fishermen Community of Bagan Deli Village on How to Build an E-Commerce Website with Google Site Pasaribu, Sutrisno Arianto; Rozi, Ahmad; Marpaung, Preddy; Amalia, Suci; Reivan, M; Sati, Fadya Lara
Jurnal Pengabdian Pancasila (JPP) Vol. 3 No. 4 (2024): December 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpp.v3i4.13484

Abstract

The Community Service Program in Bagan Deli Village focuses on educating fishermen about creating e-commerce websites using Google Sites. This initiative aims to increase community awareness of the importance of technology in improving access to information, supporting education, and improving living standards. Training and mentoring are conducted to empower the community to understand the basics of website development, which is expected to improve their economy. The program also encourages the provision of scholarships and regular education for local people, reduces unemployment, and strengthens the independence of fishing communities through technology and education.
KAJIAN TERHADAP GANTI RUGI TANAH PADA PROYEK PEMBANGUNAN TOL KUNCIRAN-BANDARA SOEKARNO HATTA Rozi, Ahmad
Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance Vol. 5 No. 1 (2025): Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bureau.v5i1.529

Abstract

This research was carried out to see whether the construction of the Kunciran – Soekarno Hatta Airport Toll Road was in accordance with the land acquisition law or vice versa. This study aims to analyze the implementation of land compensation in the Kunciran-Soekarno-Hatta Airport toll road construction project using quantitative methods. The main focus of the research is to identify the extent to which the implementation of land compensation is in accordance with applicable regulations and how regulatory uncertainty affects the process. Data is collected through surveys of affected parties, such as land owners, as well as analysis of documents and official reports related to compensation policies. The results of the study show that the implementation of land compensation is often only a formality, with a lack of transparency and accuracy in determining the value of compensation. This is due to uncertainty in the regulations that govern the compensation mechanism and criteria, thus causing dissatisfaction among the affected communities. The study highlights the need for stricter revision of policies and regulations as well as a more participatory process to ensure fairness for all affected parties in strategic infrastructure development.
Comparison of Naive Bayes Classifier with Feature Selection Gain Ratio on Data Classification Rozi, Ahmad
Jurnal Komputer Indonesia (Ju-Komi) Vol. 1 No. 02 (2023): Jurnal Komputer Indonesia (JU-KOMI) April 2023
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v1i02.86

Abstract

In this study, the authors propose a process of increasing accuracy in Naïve Bayes with a combination of feature selection using the gain ratio and Relief-F methods. The cause of the less than optimal accuracy in Naïve Bayes compared to other classification methods is due to the less significant influence of features and the relatively low percentage of influence of data in determining the class of new data. The Gain Ratio and Relief-F methods are used to select features that have a poor correlation with the data being tested. The test of the proposed method is to compare the accuracy obtained from the Naïve Bayes method without using feature selection with Naïve Bayes using Gain Ratio and Relief-F feature selection. The test results obtained were the proposed Gain Ratio and Relief-F methods, the gain ratio method did not increase while the Relief-F method was able to increase the classification accuracy of naïve Bayes with an increase obtained of 0.2928% when compared to the Naïve Bayes test without feature selection.
Combination of ROC and MFEP to Determine the Best Web Designer Eldo, Handry; Marbun, Nasib; Rozi, Ahmad
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.177

Abstract

This research aims to solve the problem of decision making in determining the Best Web Designer. The data collection technique used in this research is literature study. The method that the author applies is ROC as a method of weighting factor weight values and MFEP as a method of determining alternative ranking results. The results of applying a combination of the ROC method and the MFEP method in this study show that A1 (0.447757) is an alternative that has the highest value compared to 4 (four) other alternatives, namely A4 (0.426882), A2 (0.357889), A5 (0.343861), and A3 (0.239611). So it can be concluded that A1 (0.447757) is the most recommended alternative to be chosen as the best web designer in this study.
Co-Authors AA Sudharmawan, AA Eldo, Handry Marpaung, Preddy Nasib Marbun Pasaribu, Sutrisno Arianto Reivan, M Sati, Fadya Lara