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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Publikasi Ilmu Manajemen Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis Journal of Technology Informatics and Engineering Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Padamu Negeri Router : Jurnal Teknik Informatika dan Terapan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi
Sulartopo Sulartopo
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences Other

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Sistem Pendeteksi Bencana Kebakaran Menggunakan ESP32 Dan Arduino Berbasis WEB: Studi Kasus Di Toko Citra Berkah Karangawen Demak Muhammad Ainun Najib; Sulartopo Sulartopo; Dani Sasmoko; Danang Danang; Iman Saufik Suasana
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 1 (2024): Februari : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i1.62

Abstract

Fire is a threat to human safety, property and the environment. With the increasingly rapid development and progress of development, the risk of fires is increasing. Shophouses or shophouses are places that are prone to fires. The increasingly dense population and the construction of office buildings have created a vulnerability in the event of a fire. Preventive efforts must be carried out by each individual and work unit, so that casualties from fire incidents can be minimized. Fires can cause moral, material and even human life losses. Fires that hit public facilities, of course, cause losses to many people. Shophouse fires often occur suddenly due to short circuits, gas explosions or due to sparks from cigarettes/matches. The research carried out this time focuses on creating a fire detection system using ESP32 and Arduino. The system uses three sensors, namely a temperature sensor, a gas sensor and a fire sensor. Temperature sensors are useful for monitoring room temperature conditions, fire sensors are useful for detecting the presence of fire in a fire disaster and gas sensors are useful for detecting the presence of smoke that appears as a result of a fire disaster. This system uses an ESP32 microcontroller and uses the Arduino IDE application. The results of the fire detection system are expected to reduce the occurrence of fire accidents and also losses caused by fire accidents.
Transformasi Proyek Melalui Keajaiban Kecerdasan Buatan: Mengeksplorasi Potensi AI Dalam Project Management Sulartopo Sulartopo; Siti Kholifah; Danang Danang; Joseph Teguh Santoso
Jurnal Publikasi Ilmu Manajemen Vol. 2 No. 2 (2023): Juni: Jurnal Publikasi Ilmu Manajemen
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupiman.v2i2.2477

Abstract

The aim of this research is to discuss the potential of applying AI to improve PM activities and how project managers can objectively comment on issues of responsibility in taking action, accountability in decision making and the still important need for human reasoning. In the context of project management, AI has introduced new methods and techniques that enable project managers to work more quickly and efficiently. However, the unique complexity of projects can become a bottleneck in automating complex activities. The novelty of this research lies in its focus on exploring potential applications of artificial intelligence in project management. This study captures and discusses state-of-the-art research regarding AI applications in PM, providing strong evidence to highlight the benefits of AI techniques in providing intelligent solutions by learning from previous data even with incompleteness and uncertainty in an automated, efficient and reliable manner. The method used in this research is a literature review on the application of artificial intelligence in project management. Related research in the project management domain was collected to prepare a database for review. Then, the current use of AI in real-time projects and enterprises is evaluated for a more in-depth analysis. The research results show that AI has the potential to significantly improve project management processes in developing planning phases, conducting project charters, and integrated change control. The potential application of AI to enhance PM activities can objectively comment on issues of responsibility in taking action, accountability in decision making, and the critical need for human reasoning. AI is anticipated to categorize, measure and forecast potential risks associated with project performance and their relevant impacts, to carry out reliable investigations and analysis in advance regarding broad aspects of project management.
Co-Authors Adam Syuhada Ahmad Solechan Aldo Raditya Pangestu Ami Prasena Nugraha Arsito Ari Kuncoro budi hartono Danang Danang Dani Sasmoko DEDI CANDRA Eni Muhadi Farhan Afif Ilmi Haris Jamaludin Iman Saufik Suasana Irdha Yunianto Joseph Teguh Santoso Julitta Dewayani Khoirur Rozikin Kusumajaya, Robby Andika Maya Utami Dewi Muhammad Ainun Najib Nuris Dwi Setiawan Rachmat Setyawan Santi Widiastuti Siti Kholifah Sri Yulianingsih Susilo Adi Toni Wijanarko Adi Putra Wahyu Dika Irfianton Widya Ariyani Wisnu Wiraditama Zaenal Mustofa Zahra Dinul Haq