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THE ROLE OF THE GOVERNMENT IN WASTE MANAGEMENT IN TOMPO BALANG VILLAGE, MAKASSAR CITY Pratiwi, Suci; Sakawati, Herlina; Nur, Andi Cudai; Purna, Zarni Adia
Jurnal Aktor Vol 5, No 1 (2025): October
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/aktor.v5i1.78066

Abstract

This research aims to determine the role of the government in waste management in Tompo Balang Village, Makassar City. This research uses the theory of Arif and Bintoro Tjokroamidjojo with the indicators of regulator, motivator, dynamist, facilitator and mobilizer. This type of research is descriptive with a qualitative approach. Data collection techniques use observation, interviews and documentation. Data analysis techniques use data reduction, data presentation and drawing conclusions. The results of this research show that the Tompo Balang sub-district, Makassar City, has carried out its role as a regulator, motivator, dynamist, facilitator and mobilizer. However, the facilitator and mobilizer indicators have not been implemented optimally because the facilities provided have not been implemented evenly and there has been no follow-up to the stalled waste management program. The supporting factor for the government's role in waste management in Tompo Balang sub-district, Makassar City is that waste is the main program of the Makassar City government and sub-district areas that have waste sources. Factors inhibiting the government's role in waste management in Tompo Balang sub-district, Makassar City are the lack of waste management facilities and infrastructure as well as the low level of public awareness of waste management
Implementasi Sistem Temu Balik Informasi Data Cryptocurrency Berbasis Atribut Menggunakan Vector Space Model (VSM) Muhammad Ibnu Rayyan; Suci Pratiwi; Sofy Ertika Dewi
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 4 (2025): November: Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i4.685

Abstract

This study aims to implement an information retrieval system for cryptocurrency data using an attribute-based approach integrated with the Vector Space Model (VSM). The primary objective is to develop a system capable of retrieving the most relevant digital asset information according to specific search attributes, including positive sentiment, price fluctuation, and prediction confidence level. The research adopts a descriptive qualitative method combined with an experimental approach to evaluate the retrieval performance of the cosine similarity algorithm on normalized numerical data. Data preprocessing and attribute weighting were conducted to ensure consistency and improve retrieval accuracy. The experiment demonstrates that the proposed system achieves a Precision@5 value of 1.0, which indicates that all top-five retrieved results are fully relevant to user queries. These findings validate the effectiveness of the attribute-based VSM in analyzing multidimensional cryptocurrency datasets. Overall, this research contributes to the advancement of information retrieval applications in the cryptocurrency domain, particularly for supporting data-driven decision-making and intelligent financial analysis.