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Technological and Islamic environments: Selection from Literature Review Resources Yusuf Durachman; Adrian Sean Bein; Eka Purnama Harahap; Tarisya Ramadhan; Fitra Putri Oganda
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v1i1.12

Abstract

This article is displayed in two fundamental segments drawing consideration to investigate standards, beginning with tawḥīd as a result it was a vision conveyed of the overall troubles of mankind with other animals within the world. At that point continue with a survey of the two standards, specifically the caliph, the caliph of people on soil, and the guideline of trust (amānah). The moment portion examines illustrations of infringement of these principles in three fundamental ranges: the spread of debasement (fasād) within the world, extraction and squander (isrāf) and enduring (ḍarar). The most objective of the talk in this area is the administration of people, or maybe the fumble of the world and its assets so that mankind itself gets to be the most noteworthy casualty of its own disappointments. The conclusion draws consideration to how comprehensive Islamic sees and lessons can make chosen commitments to the wrangle about possible worldwide climate change. This article concludes with suggestions for conceivable changes.
Data-Driven Innovation for Circular Digital Economy in Sustainable Urban Development Lukita, Chandra; Handra, Tessa; Oganda, Fitra Putri; Laurens, Mackenzie
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.710

Abstract

The rapid advancement of digital technology has transformed how cities innovate and sustain their growth, making data-driven innovation a crucial element in achieving sustainable urban development. This study aims to examine the integration of data analytics, artificial intelligence, and Internet of Things within the framework of a circular digital economy to promote smarter, greener, and more resilient cities aligned with the Sustainable Development Goals. Using a Systematic Literature Review method, the research collected and analyzed publications from 2015 to 2024 obtained from major academic databases such as Scopus, ScienceDirect, and IEEE Xplore. The results show that data accessibility, interoperability, and digital infrastructure enhance efficiency in energy, mobility, and waste management, while digital tracking supports circularity and resource optimization. Governance that applies human-centered design further ensures inclusivity and transparency in urban systems. Overall, the findings highlight that data serves not only as a technological asset but also as a strategic driver for sustainable transformation. The study concludes that integrating data-driven innovation with circular economy principles strengthens collaboration among governments, industries, and communities, enabling cities to achieve long-term sustainability and contribute effectively to global goals such as innovation, responsible consumption, sustainable cities, and climate action.
Digital Innovation in Smart Waste Sorting Using Renewable Energy for Sustainable Startups Rahardja, Untung; Santoso, Nuke Puji Lestari; Oganda, Fitra Putri; Madani, Muchlishina; Saputra, Muhamad Stabil Tanwin
Startupreneur Business Digital (SABDA Journal) Vol. 5 No. 1 (2026): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v5i1.1063

Abstract

The accumulation of inorganic waste in urban environments requires inno- vative technological solutions that support the Sustainable Development Goals (SDGs), particularly SDG 11 (Sustainable Cities and Communities) and SDG 12 (Responsible Consumption and Production). Smart waste management systems integrating Artificial Intelligence (AI) and the Internet of Things (IoT) have emerged as promising digital innovations to improve waste sorting efficiency. This study presents the development of a smart waste sorting system called Orange Box, designed to support sustainable startup initiatives in environmental technology. A major challenge in deploying IoT-based devices in outdoor public areas is the limited availability of conventional electrical infrastructure, where reliance on extension cables is inefficient and potentially unsafe. Therefore, this research aims to design and evaluate an independent off-grid electrical system based on renewable energy to ensure continuous operation of the device. The proposed system utilizes solar panels as the primary energy source, with energy conversion and distribution managed through a 500W inverter and a 20A Power Supply Unit (PSU) that supplies power to a Raspberry Pi 5–based control system. Experimental measurements indicate that the system operates with an average power consumption of approximately 10–12W and reaches a peak load of 17.17W during active waste sorting operations. The estimated daily energy consumption ranges from 288Wh to 338Wh when considering inverter efficiency. These findings demonstrate that integrating renewable energy infrastructure with IoT-based smart waste sorting technology represents a viable digital innovation to support sustainable startups while contributing to SDG 7 (Affordable and Clean Energy).