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Investigating Aggressive Driving Behavior in Reducing Traffic Congestion on Bandung City Mutia, Ulfi; Siallagan, Manahan; Putro, Utomo Sarjono; Marsetyawan, Marsetyawan; Alamanda, Dini
Jurnal Manajemen Teknologi Vol 17, No 2 (2018)
Publisher : SBM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/jmt.2018.17.2.5

Abstract

Abstract. Traffic congestion reflects waste of time and energy that must be eliminated. Many methods have been employed by past studies to solve this problem. The approach utilized by those studies is mostly macroscopic that consider vehicles and drivers in aggregate. This study argues that a more microscopic approach is also required to depict and solve the congestion problem. Hence, agent-based simulation is brought forward to help identify the cause of congestion problem. In this study, drivers are assumed to have their own motives that might drive them to resort to aggressive behaviors that ultimately lead to traffic congestion. As a preliminary investigation, this study aims to discover type of aggressive driving behavior on Bandung City. The results demonstrate that aggressive dirivng behaviors on Bandung City can be categorized into five factors namely improper speed, inattentiveness, display of hostility, impatience, and disobedience of traffic sign/signals. This study also found that different composition of driving behaviors leads to different degree of congestion. Impatience behavior is found to be the factor that must be eliminate to remedy congestion on Bandung City.Kata kunci: Driving behavior, traffic congestion, factor analysis, agent-based simulation, smart cityAbstrak. Kemacetan lalu lintas mencerminkan pemborosan energi dan waktu yang harus ditiadakan. Banyak metode telah digunakan dalam penelitian-penelitian masa lalu yang ditujukan untuk memecahkan permasalahan ini. Pendekatan yang digunakan oleh penelitian-penelitian tersebut untuk menggambarkan dan memecahkan masalah kemacetan pada umumnya bersifat makroskopik yang memandang kendaraan dan pengendara secara agregat. Studi ini berpendapat bahwa pendekatan yang lebih mikroskopis diperlukan dalam menggambarkan dan memecahkan permasalahan kemacetan. Dalam studi ini, pengemudi diasumsikan memiliki motif tersendiri saat berkendara yang dapat mendorong mereka untuk berperilaku agresif dan berujung pada kemacetan. Sebagai penyelidikan awal, studi ini bertujuan untuk mengetahui jenis perilaku mengemudi agresif di Kota Bandung. Hasil dari studi ini menunjukkan bahwa perilaku mengemudi agresif dapat dikategorikan menjadi lima faktor yaitu penggunaan kecepatan yang tidak sepantasnya, kurangnya perhatian saat berkendara, perilaku kekerasan dalam berkendara, ketidaksabaran dalam berkendara, dan ketidaktaatan pada tanda lalu lintas. Studi ini juga menemukan bahwa komposisi perilaku mengemudi agresif yang berbeda dapat menghasilkan perbedaan tingkat kemacetan lalu lintas. Ketidaksabaran dalam berkendara ditemukan sebagai factor yang paling harus dieliminasi untuk mengurangi kemacetan di Kota Bandung.Keywords: Perilaku mengemudi, kemacetan lalu lintas, analisis factor, simulasi berbasis agen, smart city
Virality in Social Media Advertising: A Case Study in Bandung Tourism Romadhoni, Riefky Amarullah; Siallagan, Manahan; Mayangsari, Lidia
The Asian Journal of Technology Management (AJTM) Vol 12, No 3 (2019)
Publisher : 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
Website as Co-Created Decision Support System Towards Enhanced Experience of Solo City Tourism Putro, Utomo Sarjono; Mayangsari, Lidia; Siallagan, Manahan; Novani, Santi
The Asian Journal of Technology Management (AJTM) Vol 9, No 2 (2016)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2016.9.2.3

Abstract

Abstract. The linkage among information-intensive era, technology, and tourism industry build inseparable genetic relationship which is supposed to be realized in practice. Let alone in this digital era, the urgency to exploit information to the next level resulted in the need to bring a higher game on the technology in order to manage information effectively and efficiently. Tourism industry is categorized as complex system regarding the components substituted it. The diverse elements which interact with dynamics pace give birth to complex tasks to manage by the responsible parties and consequently enhance experience in tourism industry. Competing with complex situation, computerized decision system is urgently needed to collect and also distribute accurate knowledge of tourism industry, collaborate with both supporting public and private sectors, and gain rationality for all stakeholders in the system. Solo city, known also as Surakarta and located in Central Java (Indonesia), is obliged to do its tourism industry justice as it is an important vehicle for regional development of the city. Tourism industry of Solo city represents the major and significant contributor to the local economy to the point where tourism is the brand of Solo city. Taking the prior research finding, value orchestration platform to promote tourism in batik Solo industrial cluster into the reference, this study improves the model by highlighting the duality function the tourism website supposed to have using hashtag (#) minings principle as the latest user interface technology. This study proposes a collaborative website platform as a co-created decision support system to enhance tourism experience for tourist as consumer and optimize management process for Department of Culture and Tourism of Solo city as provider.Keywords: Decision support system, hashtag mining, service-dominant logic, solo city, tourism experience
Causal Loop Diagram for Better Understanding of Customer Satisfaction in The Indonesian Public Service Rahajeng Puput Aryani; Manahan Siallagan
Journal of International Conference Proceedings (JICP) Vol 4, No 2 (2021): Vol 4, No 2 (2021): Proceedings of the 10th International Conference of Project
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v4i2.1228

Abstract

In Indonesia, public service providers were mandated to measure consumer satisfaction in improving the quality of their services. It could help the organization to establish the priority of areas that need to be improved. On the other hand, the customer satisfaction index is frequently analyzed using a linear thinking technique, in which an event is continuously seen from a particular point of view, perhaps leading to policies that are contrary to what the customer expects. This research aimed to adopt a more systematic approach for better understanding the structures that generated customer satisfaction, so the various policies could be designed to address the problems that arise. A causal loop diagram (CLD) was used to describe the feedback structure of interrelationships among variables, allowing for identifying the structure that generated customer satisfaction. The structure showed how customer satisfaction was formed and how it affected other variables.  The conceptual CLD is a mental map constructed to highlight various cause-and-effect interactions and to disclose some relationships between customer satisfaction variables that are important in policymaking related to customer satisfaction.
REDUCING THE RISK OF WELL INTEGRITY INCIDENT BY INTEGRATING TOPSIS AND AHP MULTICRITERIA DECISION-MAKING ANALYSIS Ragil Sudira Wardana; Manahan Siallagan; Raka Sudira Wardana
PETRO: Jurnal Ilmiah Teknik Perminyakan Vol. 10 No. 1 (2021): MARET
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.554 KB) | DOI: 10.25105/petro.v10i1.8302

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With current oil price downturn many oil wells become uneconomic. These uneconomic wells are left in an inactive state and become idle wells. Idle well is an environmental liability due to its risk of well integrity problems. Impacted by the downturn, the number of idle wells in the industry has been increasing in the industry. One of the solutions to mitigate these liabilities is by conducting plug & abandonment (P&A) on high-risk idle wellss. This research develops a combined framework of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with the Analytic Hierarchy Process (AHP) as a risk assessment framework to prioritize high-risk idle wells for the P&A activity. In the assessment framework, surface condition, subsurface condition, and public exposure factors are taken as evaluation criteria to determine the risk level. The result of this research is 247 idle wells considered as high-risk wells and submitted as P&A candidates. The empirical result from this research can serve as a reference for oil companies in conducting a risk assessment on idle wells to design the proper activities to reduce environmental liabilities.
Customer Decisions to Use Online Food Delivery Services During The COVID-19 Pandemic Falah Fadjariansyah Kusuma Kautsar; Manahan Siallagan; Yonathan Palumian
Journal of Business and Management Review Vol. 4 No. 1 (2023): (Issue-January)
Publisher : Profesional Muda Cendekia Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47153/jbmr41.5702023

Abstract

The coronavirus disease pandemic restricted dine-in service, and restaurants should adapt and rely heavily on no-contact operations and online food delivery services to sustain. Even though online food delivery technology is widely used in the food and beverages business, there is only a few research investigating the customers' behavior intention on online food delivery technology in the coronavirus disease pandemic. This study aims to investigate the influencing factor of behavior intention on online food delivery platforms, by applying the technology acceptance model. An online questionnaire was applied to conduct the survey. The Partial Least Squares-Structural Equation Modeling approach was used to examine 417 respondents empirically. The results showed the significance of perceived usefulness, trust, social influence, and value co-creation in customer intention on online food delivery technology. The findings contribute to the body of knowledge about technology acceptance in an emergency event, specifically during a coronavirus disease pandemic. The practical implication of the study is managers of online food delivery services firms must identify their customers' wants and needs.
Managing Future Meat Consumption Fulfilment in Indonesia Wendy Imam Fauzie; Manahan Parlindungan Siallagan
Journal of Business and Management Review Vol. 4 No. 3 (2023): (Issue-March)
Publisher : Profesional Muda Cendekia Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47153/jbmr43.6392023

Abstract

Peer level of animal proteins for Indonesians reach low level of consumption-per-capita (CPC), this low protein consumption is strongly associated with malnutrition. Supply and demand take a part in several studies, supply-side approval meets consumption needs. Herd size, livestock shed, and production efficiency impacting the land mass area and environment. Beef meat consumption is inherently dependent on several interlinked and dynamic system modelling. One such methodology like modelling interactive systems in multivariate impact will yield the greatest overall increase in beef supply consequently. Using systems modelling tools, the researcher tries to simulate how beef consumption patterns are a dependent factor of several interrelationships with systems thinking. The alternative cluster structure is divided into 2 parts, tax policy and budget policy, which are the source of the budget scheme. Two of the six alternative policies were selected as the best choices with acceleration of output achievement. The higher tax rate is a consequence of a depressed level of demand, which has implications for national per capita consumption.