Studi Terhadap Program Housing Bagi Kawasan Terdampak Perusahaan Tambang

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Retrieval Journal Pub Date : 2020-10-28 DOI:10.35878/islamicreview.v9i2.212
Zainal Fadri
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Abstract

Housing and its policy become an interesting issue for the study of social development programs. The CSR program in the housing sector is a form of company involvement in fulfilling access to housing needs as a social responsibility for the impact of company activities on the surrounding community. The method used in this paper is the method of literature or library research, namely by collecting reading material from books, as well as research journals on CSR programs in the housing sector, then analyzing with a qualitative approach so as to produce conclusions as a closing paper. The conclusions in this paper describe the CSR program in the housing sector of PT. Aneka Tambang was carried out in the Nanggung, sub-district of Bogor district. CSR activities are carried out through the home improvement competition program and the implementation of a healthy home improvement. CSR program in the housing sector by PT. Aneka Tambang is a form of company involvement in improving people's welfare as a joint commitment between the government, the private sector and the community.
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这是矿业公司豪豪斯项目的一项研究
住房及其政策成为社会发展项目研究的一个有趣问题。住房领域的企业社会责任项目是公司参与满足住房需求的一种形式,作为公司活动对周围社区影响的社会责任。本文使用的方法是文献研究法或图书馆研究法,即从书籍和研究期刊中收集有关住房部门社会责任项目的阅读材料,然后用定性的方法进行分析,得出结论作为结束语。本文的结论描述了PT. Aneka Tambang住房部门的企业社会责任计划,该计划在茂物区的Nanggung街道进行。企业社会责任活动是通过家装竞赛方案和实施健康家装来开展的。Aneka Tambang PT在住房领域的企业社会责任项目是公司参与改善人民福利的一种形式,是政府、私营部门和社区的共同承诺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Retrieval Journal
Information Retrieval Journal 工程技术-计算机:信息系统
CiteScore
6.20
自引率
0.00%
发文量
17
审稿时长
13.5 months
期刊介绍: The journal provides an international forum for the publication of theory, algorithms, analysis and experiments across the broad area of information retrieval. Topics of interest include search, indexing, analysis, and evaluation for applications such as the web, social and streaming media, recommender systems, and text archives. This includes research on human factors in search, bridging artificial intelligence and information retrieval, and domain-specific search applications.
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