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All Journal Jurnal Informatika Ekonomi Bisnis Devotion: Journal of Research and Community Service Jurnal Informatika Ekonomi Bisnis
Muhammad, Fathan
Unknown Affiliation
Economics, Econometrics & Finance

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Performance Analysis of the LoRaWAN Protocol for Data Transmission In Urban Area Scenarios Muhammad, Fathan; Syaiful , Syaiful
Devotion : Journal of Research and Community Service Vol. 4 No. 1 (2023): Devotion: Journal of Research and Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/dev.v4i1.372

Abstract

Long Reach Wide Region Organization (LoRaWAN) is a kind of organization for remote media transmission region intended to empower far off correspondence with significant distance correspondence and low piece rate. LoRaWAN can be utilized on correspondence networks that have a wide reach utilizing end gadgets. LoRaWAN offers a great many benefits to the test of IoT execution, however the ongoing execution of LoRaWAN innovation is still exceptionally restricted, requiring practicality testing and examination how much LoRaWAN innovation is equipped for being carried out in metropolitan regions in Indonesia. In this examination, an investigation of the exhibition of the LoRaWAN convention for information transmission with metropolitan region situations in Malang City is done. The strategy utilized in this study is to reproduces LoRaWAN convention in Organization Test system 3 (NS-3) application by changing the boundaries to decide the impact on the quantity of end gadgets, sweep of the passage reach, and information sending period to the boundaries throughput and parcel misfortune. From the aftereffects of exploration demonstrated that for the utilization of convention LoRaWAN in metropolitan regions, the more end gadgets utilized, the more prominent the throughput esteem and the more prominent the worth of bundle misfortune acquired. What's more, the more extensive the region required, the throughput and bundle misfortune acquired are steady. And afterward, the bigger the time of information transmission, the more modest the throughput esteem is acquired and the more modest the worth of bundle misfortune got
Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Abstract

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.
Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Abstract

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.
Co-Authors Raharjo, Teguh Syaiful , Syaiful Trisnawaty, Ni Wayan