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All Journal Alhiwar: Jurnal Ilmu dan Teknik Dakwah Jurnal Penelitian Teknologi Informasi dan Sains
Muhayat Muhayat
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Religion Humanities Computer Science & IT Social Sciences

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Membangun Tv Dakwah Berbasis Streaming Technology Muhayat Muhayat
Al-Hiwar : Jurnal Ilmu dan Teknik Dakwah Vol 4, No 1 (2016): Januari-Juni
Publisher : UIN Antasari Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1042.744 KB) | DOI: 10.18592/al-hiwar.v4i6.1216

Abstract

Da'wah is an activity that is universal, not limitation of space and time, it all depends on the needs and circumstances the object of Da'wah. In the perspective of contemporary, Da'wah through the mass media, especially television is still very relevant because television as an audio-visual medium, is able to capture 94% channel entry message-either message or information come to our brain through both eyes and ears. Once displayed agenda in television, normal people could remember 50% from what they see and hear. In other words, people will remember 85% from what they see and hear from television after 3 hours and 65% for the next 3 days. But to build a conventional TV are very expensive, it is necessary creativity to realize Da'wah TV reliable yet inexpensive. To achieve this, the most powerful candidate is build Da'wah TV based on streaming technology, a technology that allows broadcast TV in real-time as well as On Demand through the Internet. This paper will describe the analysis and design Da'wa TV based on streaming technology with systems development methodology Luther Version consisting of six phases; concept, design, material collecting, assembly, testing and distribution.
Technological Trends, Residential Benefits, and Development Challenges in IoT-Based Smart Housing Systems: A Systematic Literature Review Siti Magfiratun Warahmah; Muhayat Muhayat; Sabila Rizqina Majid
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4222

Abstract

The rapid advancement of Internet of Things (IoT) technologies has transformed conventional residential environments into intelligent smart housing systems capable of enhancing energy efficiency, security, comfort, healthcare services, and environmental sustainability. However, existing studies remain fragmented, focusing on specific technologies or applications rather than providing a comprehensive understanding of the smart housing ecosystem. Therefore, this study aims to systematically review the major technologies employed in IoT-based smart housing systems, examine their contributions to residential benefits, and identify the challenges and future opportunities associated with their implementation. This research adopted a Systematic Literature Review (SLR) approach using the Scopus database as the primary source of literature. The review process followed a structured screening and selection procedure, resulting in the inclusion of 26 studies that met the predefined eligibility criteria. The findings indicate that Artificial Intelligence, Blockchain, Edge Computing, Fog Computing, Cloud Computing, Digital Twin, Smart Grid technologies, renewable energy systems, and advanced sensor infrastructures constitute the primary technological foundations of modern smart housing systems. The reviewed studies indicate that these technologies contribute to energy optimization, cybersecurity enhancement, intelligent automation, healthcare monitoring, safety improvement, and sustainable resource management. However, challenges related to security, privacy, interoperability, scalability, computational complexity, and implementation costs remain important barriers to widespread adoption. In conclusion, IoT-based smart housing systems have evolved into integrated and intelligent residential ecosystems, and future development is expected to be driven by the convergence of Artificial Intelligence, distributed computing, Digital Twin technologies, and sustainable smart infrastructure solutions.
Co-Authors Sabila Rizqina Majid Siti Magfiratun Warahmah