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All Journal JURNAL HUKUM Mamangan Social Science Journal International Journal Research on Metaverse
Ramadhan, Hafizh Faikar Agung
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Religion Humanities Computer Science & IT Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Digital Communication of Depok City Government in Sustainable Economic Recovery in Depok Saktisyahputra, Saktisyahputra; Evitha, Yuli; Sari, Sukarni Novita; Susanti, Endang; Ramadhan, Hafizh Faikar Agung
Jurnal Mamangan Vol 11, No 2 (2022): Jurnal Ilmu Sosial Mamangan Accredited 3 (SK Dirjen Ristek Dikti No. 158/E/KPT/
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (999.483 KB) | DOI: 10.22202/mamangan.v11i2.6341

Abstract

Digitalization media activities have been carried out in various daily lives. The impact of the Covid 19 pandemic has been felt by the community since the enactment of the PSBB on March 15, 2021. Community activities are forced to be carried out by digital transformation in services, transactions and work, for example the Depok City Government. This research was conducted to determine the Digital Communication Management of the Depok City Government in an inclusive and sustainable Economic Recovery. The object of this research is the Depok City Government. This study uses the method of Phenomenology of Edmund Husserl. Data collection techniques in this study by means of observation, interviews, and documentation. The research findings that the results of the data and discussion can be concluded that the Depok City Government has implemented a digital communication management process starting from planning, activities and evaluations in an Influential and Sustainable economic recovery in Depok. From Digital Communication Planning, the Depok City Government has tried to provide a lot of training, information to make Depok people know and care about the development of the city of Depok through the Depok City DPRD Instagram Platform.
Legal System of Community Participation in Environmentally Friendly Power Plants: A Socio-Legal Study of Micro-Hydro Projects in Central Java Triana, Nita; Mukhtar, Naqiyah; MD Rasip, Osman; Ramadhan, Hafizh Faikar Agung; Monk, Lincoln James Faikar
Jurnal Hukum Vol 41, No 3 (2025): Jurnal Hukum
Publisher : Unissula

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jh.41.3.567-587

Abstract

Energy management is closely linked to environmental concerns and community involvement. However, in electrical energy regulations, community participation is frequently overlooked, with the community treated solely as a consumer. This study examines the legal system for community participation in environmentally friendly micro-hydro power plants. The research method used was qualitative, with a socio-legal approach. Data was collected through observation and in-depth interviews with purposefully chosen informants. The findings show that the legal system, in the form of legal substance, such as management rules and legal structures, is implemented in a participatory manner by the residents of Karangtengah and Lebakbarang villages. Community participation is critical to the success of the two villages' micro-hydro power projects, which earned them the provincial award for the best management of micro-hydro projects in Central Java. Community participation in this project is strong because the community has a legal culture characterized by cooperation, environmental friendliness, deliberation, and family values. Based on the level of participation, community involvement in the micro-hydro project is at the highest level, namely partnership, delegation of authority, and citizen control.
Estimating Player Market Value in Virtual Leagues: A Clustering Approach Using Player Attributes for Metaverse Applications Turistiati, Ade Tuti; Monk, Lincoln James Faikar; Ramadhan, Hafizh Faikar Agung
International Journal Research on Metaverse Vol. 2 No. 2 (2025): Regular Issue June 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v2i2.28

Abstract

The advent of virtual environments, particularly within the Metaverse, has revolutionized the way sports simulations and virtual leagues operate. In these environments, understanding and predicting player market value is essential for optimizing team management, player scouting, and in-game strategies. This paper presents a clustering approach using K-Means to segment players based on their performance attributes and predict their market value in virtual leagues. The dataset includes various player attributes such as age, goals scored, assists, minutes played, and performance metrics like expected goals (xG) and expected assists (xA). The K-Means clustering algorithm was applied to partition players into three distinct groups based on their performance profiles. The results indicated that high-performing players, characterized by high goals scored, assists, and other key metrics, were grouped in one cluster, while lower-performing players were segmented into another. These clusters correspond to different player market values, with higher-performance clusters being associated with higher market value. The clustering analysis reveals significant patterns that can inform virtual league operations, including player trading, recruitment, and team-building strategies. The findings suggest that virtual league developers, managers, and gamers can leverage these clusters to make more informed decisions regarding player acquisitions and team compositions. Furthermore, the clustering results can be used to dynamically adjust player values based on their performance attributes, offering a realistic simulation of real-world sports economics. Future research may explore more advanced clustering techniques, such as hierarchical clustering, and expand the dataset to include additional attributes like player psychology or external factors like fan sentiment. Overall, this paper highlights the potential of clustering algorithms to enhance player market valuation and decision-making within virtual leagues.
Co-Authors Ade Tuti Turistiati Endang Susanti Evitha, Yuli MD Rasip, Osman Monk, Lincoln James Faikar Naqiyah Mukhtar Nita Triana Saktisyahputra, Saktisyahputra Sari, Sukarni Novita