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All Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis The Asian Journal of Technology Management (AJTM)
Manahan Siallagan
School of Business and Management, Institut Teknologi Bandung, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Other

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Virality in Social Media Advertising: A Case Study in Bandung Tourism Riefky Amarullah Romadhoni; Manahan Siallagan; Lidia Mayangsari
The Asian Journal of Technology Management (AJTM) Vol. 12 No. 3 (2019)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2019.12.3.4

Abstract

Abstract. The growth of tourism in Indonesia makes Bandung, as one of the major cities in Indonesia, has to improve its tourism even further. One of the plans of the Department of Tourism and Cultural Bandung is about how to advertise tourism in Bandung City. The current state of Bandung Tourism Ambassador advertisement is through social media Instagram by using her intuition. This research proposes a new system to help Bandung City promotes its tourism destination by using STEPPS (Socio-currency, Trigger, Emotion, Public, Practical Value, Story) factors and service-dominant logic approach. By analysing the value of each factor, the advertiser can determine which words and topic that can make the advertisement viral and more engaging, thus boosting the popularity of Bandung tourism.Keywords:  Bandung city tourism, content analysis, STEPPS, service science
Optimizing The Number Of Mechanic Crews And Heavy Equipment Replacement Rule Options To Reduce Heavy Equipment Unplanned Downtime, Enhance Heavy Equipment On Running, And Maximize Profit At PT. XYZ’s Construction Project Ami Ami; Manahan Siallagan
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 14 No 1 (2026): Januari
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v14i1.8352

Abstract

This research aims to reduce unplanned downtime, enhance the on-running time, and maximize profits from heavy equipment in PT. XYZ's construction projects through the application of Agent-Based Modeling (ABM). The study uses ABM to simulate the interaction between mechanical crews and heavy equipment units. It explores various optimization scenarios involving the number of crews and heavy equipment replacement rule options. Data was collected from field observations, and company internal reports, then implemented in AnyLogic software for simulation. The simulation results indicate that a combination of five mechanical crews and a heavy equipment replacement rule option after five preventive maintenance (PM) periods significantly reduces unplanned downtime by 6.13%, increases on-running time to 89.32%, and maximizes profit to Rp. 11,052.04 million. Model validation via a two-sample t-test shows no significant difference between real and simulated data (P-value = 0.3908). This research introduces an integrated ABM approach that combines equipment availability, maintenance crew availability, and profit optimization, bridging gaps left by prior studies that analyzed these factors separately. The findings provide practical insights into optimizing heavy equipment management, emphasizing the importance of proactive maintenance strategies and efficient resource allocation to reduce operational costs and improve sustainability in large-scale construction projects.
Co-Authors Ami Ami Lidia Mayangsari Riefky Amarullah Romadhoni