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SMART ENVIRONMENT ROADMAP CONCEPT FOR THE CITY OF PANGKAL PINANG BASED ON LESSONS LEARNED FROM JAKARTA AND MAKASSAR Febrina Lusianna Manik; Revan Anthony; Oktavian Luthfi Khairan Somali; Master Edison Siregar
Algebra : Jurnal Pendidikan, Sosial dan Sains Vol. 6 No. 1 (2026): Algebra : Jurnal Pendidikan Sosial dan Sains
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58432/ds7cba81

Abstract

This study develops a smart environment roadmap for Pangkalpinang by learning from the experiences of Jakarta and Makassar. Smart environment is positioned as a key pillar of smart city development because it supports sustainable management of air, water, waste, energy, and disaster risk. The research uses a qualitative descriptive approach with comparative case study design. Data are obtained from scientific literature, government documents, and official publications related to smart environment initiatives in the three cities, then analysed using content analysis and cross-case comparison. The findings show that Pangkalpinang is still at an early stage of smart environment development, characterised by limited digital infrastructure, fragmented environmental data, and low levels of digital participation. Jakarta represents a technology-driven model with strong data integration, while Makassar prioritises community participation and context-sensitive innovation. Based on these lessons, the study proposes a phased roadmap consisting of twelve programmes (EN15–1 to EN15–12) that gradually strengthen monitoring infrastructure, data integration, public awareness, smart waste management, smart energy, and coastal environmental monitoring. The roadmap is expected to guide local governments in planning realistic and sustainable smart environment development.
APPLICATION OF DATA WAREHOUSE FOR ANALYZING THE EFFECT OF FINANCIAL RATIOS ON STOCK PRICES IN CONSUMER NON-CYCLICALS COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE FROM 2022 TO 2024 Oktavian Luthfi Khairan Somali; Muhammad Aghnat Mumtaz; Ahmad Abdul Faqih; Muhammad Jafni Abbas; Rido Dwi Kurniawan; Muh Masri Sari
Algebra : Jurnal Pendidikan, Sosial dan Sains Vol. 6 No. 1 (2026): Algebra : Jurnal Pendidikan Sosial dan Sains
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58432/ksw6pz37

Abstract

This study aims to examine the effect of financial ratios on stock prices of primary consumer goods companies listed on the Indonesia Stock Exchange during the 2022 2024 period, utilizing a Data Warehouse as a data integration platform. Secondary data in the form of financial reports and stock prices were processed through an ETL (Extract, Transform, Load) process to produce a structured and consistent historical dataset. Multiple linear regression (OLS) analysis using SPSS was applied to assess the effect of ROA, TATO, DER, and EPS on stock prices. The results showed that all variables had a significant simultaneous effect, but partially only EPS had a significant positive effect. Conversely, ROA, TATO, and DER did not show a significant effect on stock price variations in the primary consumer goods sector. This finding confirms that earnings per share is a key indicator for investors, while asset efficiency and funding structure do not have a direct impact. Furthermore, this study confirms that implementing a Data Warehouse can improve the effectiveness of financial data integration and analysis across periods.