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1Strategi Komunikasi Organisasi PK IMM FISIP UMSU Dalam Melaksanakan Program Kerja di Masa Pandemi Covid-192021FH Lubis, FP Hidayat, S Hardiyanto
2Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory2021AZ Fuadi, IN Haq, E Leksono
3Estimasi Kondisi Muatan dan Kondisi Kesehatan Baterai VRLA dengan Metode RVP2021D Widjajanto, BM Achsan, FMN Rozaqi, A Widyotriatmo, E Leksono
4Peningkatan Kinerja Microgrid Bangunan Kampus dengan Simulasi Multi Skenario dan Analisis Sensitivitas2021J Pradipta, K Friansa, IN Haq, E Leksono, H Kusumayudha, S Regita
5Rancang Bangun Sistem Visualisasi Masjid Salman Rasidi Menggunakan Virtual Reality2021Z Abdurrohman, Y Rosmansyah
6Literasi media dalam menangkal radikalisme pada siswa2021FP Hidayat, FH Lubis
7Penggunaan Facebook Sebagai Media Bisnis Online (Studi Kasus Pada Dapur Luthfiah)2021FP Hidayat
8Media Literacy Education for Students During Learning Online the Covid-19 Pandemic2021FP Hidayat
9Smart Video Surveillance System For Level Crossing: A Systematic Literature Review2021RP Pratama, SH Supangkat
10Strategic Planning and Knowledge Management Approaches as input to remote area strategic plans: A Case study in Aru Islands Regency Maluku Province2021II Gutandjala, SH Supangkat, FL Gaol, B Rianti
11Anomaly Detection Techniques in Smart City: A Review from a Framework Perspective2021OM Prabowo, SH Supangkat, E Mulyana
12Development of Smart Campus Model2021RV Imbar, SH Supangkat, AZR Langi
13Spatial Data Infrastructure Integrated with Geospatial Artificial Intelligence: A Systematic Literature Review2021YS Nugroho, SH Supangkat
14Detection of Railroad Anomalies using Machine Learning Approach2021AC Nugraha, SH Supangkat, IGBB Nugraha, H Trimadi, AH Purwadinata,
15IT Governance Framework for Academic Information System at Higher Education Institutions: A Systematic Literature Review2021MR Julianti, FL Gaol, B Ranti, SH Supangkat
16Designing Machine Learning Model for Predictive Maintenance of Railway Vehicle2021HGP Putra, SH Supangkat, IGBB Nugraha, F Hidayat, PT Kereta
17A Workspace Design Prediction: Concept Overview Using the Digital Twin2021A Latifah, SH Supangkat, A Ramelan, FR Rahman, M Afandy
18Viana Safe: Smart Safe and Secure Platform Based on CCTV Analytics in Pandemic Covid-19 Situation Use Case Railway Station2021IA Dahlan, F Hidayat, SH Supangkat, FF Lubis
19Spatio-Temporal Distribution of Ground Deformation Due to 2018 Lombok Earthquake Series2021SB Wibowo, DS Hadmoko, Y Isnaeni, NM Farda, AFS Putri, IW Nurani, SH Supangkat
20Snake and digital ladder applications involving the behavior of children applying the health protocols2021HD Ariessanti, FL Gaol, SH Supangkat, B Ranti
21Characterization of Fluorescent Dissolved Organic Matter in an Affected Pollution Raw Water Source using an Excitation-Emission Matrix and PARAFAC2021MR Sururi, M Dirgawati, D Roosmini, S Notodarmodjo
22Assessment of cadmium concentration, bioavailability, and toxicity in sediments from Saguling reservoir, West Java Province2021E Wardhani, D Roosmini, S Notodarmojo
23Calculation of heavy metals pollution load enters to Saguling dam West Java Province2021E Wardhani, D Roosmini, S Notodarmojo
24Simulasi Energi dan Keekonomian Sistem Pembangkit Listrik Tenaga Surya (PLTS) untuk Fungsi Peak Load Shaving pada Bangunan di Lingkungan Kampus ITB2021IN Haq, J Pradipta, MRS Sheba, AWD Persada, FXN Soelami, E Leksono
25Data Driven Building Electricity Consumption Model Using Support Vector Regression.2021FX Soelami, PHK Utama, IN Haq, J Pradipta, E Leksono, M Wasesa
26Adequacy Assessment of Grid-Connected Nanogrid2021D Wijayanto, E Leksono, A Widyotriatmo
27Development of IES (Innovation Entrepreneurship System) Application Mobile for Start-Ups Using Service Science Perspective (Study Case: LPIK ITB)2021MN Utari, S Novani
28Proposed Service System Improvement for Regional Bank’s Mobile Banking Application using Service Science Perspective2021A Pratama, S Novani
29Overcoming the challenge of those new with SSM in surfacing relevant worldviews for action to improve2021R Hermanto, US Putro, S Novani, K Kijima
30The missing element in implementing key account management2021R Hermanto, US Putro, S Novani
31The Role of Value Co-Creation in ICT-based Service Innovation within Tourism Context2021CS Brilliane, S Novani, A Farhana
32Features, Frameworks, and Benefits of Gamified Microlearning: A Systematic Literature Review2021A Putri Septiani, Y Rosmansyah
33Conceptual Framework for the Development of IoT based Virtual Laboratory for Learning2021A Amaliah, Y Rosmansyah
34The Role of Social Capital on Rural Enterprises Economic Performance: A Case Study in Indonesia Villages2021AF Aritenang
35Assessing Participatory Practices in a Cultural Preservation Workshop of the Sriwijaya Museum2021AF Aritenang, ZS Iskandar, P Safitri, RP Drianda, L Zohrah
36The Implementation of Traffic Analytics Using Deep Learning and Big Data Technology with Garuda Smart City FrameworkNowadays the population in the city grow rapidly [1]. It may cause many problems and those must be tackled with smart city solution because manual policy cannot handle that situation due to limited physical supporting tools [1] [2]. One of the problems is traffic congestion and its management. Moreover, other smart city initiatives such as traffic control and violence detection are applied to solve that issue in order to improve quality of life [3]. In this paper, a cloud-based with big data and video analytics with deep learning are proposed in the context of efficiency where accuracy and speed of processing and transmissions play a critical role into access policy and control with our integration platform based on Garuda Smart City Framework (GSCF) [1] [4].2020Suhono Harso Supangkat, Fadhil Hidayat, Iqbal Ahmad Dahlan, Faqih HamamiDownload
37Big Data Implementation of Smart Rapid Transit using CCTV SurveillanceThis paper presents the implementation on smart system for rapid transit using CCTV surveillance. Researchers proposed deep learning algorithms to detect objects with Convolutional Neural Network (CNN) and monitoring passengers' behavior like flow analytics, avoiding dangerous areas, and preventing intruder visitor[1][2]. Research of this paper also implemented in Railway Station in Bandung with multiple CCTV sources. The system aims to make station better and able to improve quality of service in many scope areas (safe, secure and convenient)[3]. Objective of this research is to develop smart surveillance with CCTV in smart station. The system consists of deep learning algorithm and big data technologies such as Hadoop, Apache Kafka and Apache Spark.2020Iqbal Ahmad Dahlan, Faqih Hamami, Suhono Harso Supangkat, Fadhil HidayatDownload
38Identifying the Components and Interrelationships of Smart Cities in Indonesia: Supporting Policymaking via Fuzzy Cognitive SystemsMultiple Indonesian cities currently aim to qualify as “smart cities.” Previous research on defining smart cities (e.g., the implementation-oriented maturity model) tends to focus on components over interrelationships, is challenging to apply to a specific context such as Indonesia, and offers limited support for policy-relevant questions. In this paper, we propose to address these shortcomings to support policymakers in identifying concrete action plans in Indonesia specifically. Our approach clarifies interrelationships for the context of use and supports structural (e.g., what aspects of a “smart city” are impacted by an intervention?) as well as what-if policy questions. We started with a systems' science approach to developing a cognitive map of the components and their interrelationships, as is increasingly done in participatory modeling and particularly in socio-ecological management. We transformed semi-structured interviews of 10 Indonesian experts into maps and assembled them to create the first comprehensive smart cities cognitive map for Indonesia, totaling 52 concepts and 98 relationships. While a cognitive map already provides support for decision-making (e.g., by identifying loops in the system), it is only conceptual and thus cannot form predictions. Consequently, we extended our cognitive map into a fuzzy cognitive map (FCM), whose inference abilities allow to examine the dynamic response of an indicator (e.g., “smart city”) in response to different interventions. As fuzzy cognitive maps include the strengths of interrelationships but not the notion of time, future research may refine our model using system dynamics. This refinement would support policymakers in investigating when to conduct and/or evaluate an intervention.2019Hendra Sandhi Firmansyah,
Suhono H. Supangkat, Arry A. Arman, Philippe J. Giabbanelli
39Real Time Video Analytics Based on Deep Learning and Big Data for Smart StationCCTV is a sophisticated tool for monitoring and surveillance. It was chosen because of the low price and ease of use. CCTV creates issues in monitoring because officers must always supervise every CCTV monitor to look for abnormal conditions. This research proposes the implementation of smart CCTV for surveillance in Bandung Station. It applied deep learning algorithm to create smart CCTV for sensing and understanding station environment such as passengers' flow, crowded area, prohibited location and others. Big data technologies are also carried out to solve the complexity of data. The objective of this research is to improve the quality of services in Bandung Station and make the station safer, more secure and more convenient.2019F Hidayat, F Hamami, I A Dahlan, S H Supangkat, A Fadillah, A HidayatulohDownload
40Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage ChangesIn this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system’s total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.2019Irsyad Nashirul Haq, Deddy Kurniadi, Edi Leksono, Brian Yuliarto, F.X. Nugroho Soelami Download
41Nanogrid Reliability Assessment Study Using Loss of Load ExpectationMicrogrids are autonomous electric power distribution systems for small communities that utilize distributed generation to improve performance. Various microgrid advantages, such as increased reliability, efficiency, etc. are causing the penetration of the electric power system to be increased every day. Currently, microgrid applications have evolved to a smaller scale called nanogrids. The increasing number of microgrids and nanogrids raises the need for a tool that can be used to assess their performance. The tool would be used to compare one nanogrid system to another and to measure the ups and downs of a system's performance over time or after an improvement has been made. To realize this tool, a quantitative reliability indicator is needed. The Loss of Load Expectation (LOLE) was chosen in this study because this indicator is well established and has been used to assess the reliability of power systems throughout the world. As a validation, this model will be used to evaluate the reliability of nanogrids in the energy management laboratories, physics engineering study programs, the Institut Teknologi Bandung2019Danang Widjajanto, Edi Leksono, AugieWidyotriatmoDownload
42The Impact of Special Economic Zones and Government Intervention on Firm Productivity: The Case of Batam, IndonesiaVarious studies have explored the effects of industrial agglomeration and SEZs – specifically industrial agglomeration in Asia, however, they lack data-driven analysis of SEZ performance. This paper provides a case study on the processes and development outcomes of SEZ Batam, which is founded through government-to-government (G2G) cooperation in the form of industrial zones, offering lessons for developing countries. The study examines the role of industrial zones; foreign investment; and government intervention on firm productivity using an ex-post evaluation method and econometric models. The paper found inconclusive evidence of the effect of SEZ Batam on firm productivity and growth. Whilst firm agglomeration proved beneficial for firm productivity, there is a lack of evidence that SEZ policy drives firm productivity. The paper argues that government policies should stimulate innovation and inter-firm cooperation to increase knowledge spillovers and technology transfer in place of merely focusing on attracting investments.2019Adiwan AritenangDownload
43The SMART Initiative and the Garuda Smart City Framework for the Development of Smart CitiesThe development of smart cities has gathered much attention globally in recent years. The momentum in South East Asian countries, collectively grouped as the Association of South East Asian Nations (ASEAN) took centerstage when Singapore, as Chair in 2018, announced the launch of the ASEAN Smart Cities Network (ASCN) with an initial list of 26 cities across the 10 countries in the group. This paper outlines the Structured Methodology and Approach for Research and Technology (SMART) Initiative to develop future youth leaders for a Smart Nation in Singapore. On the other hand, the Institute of Technology, Bandung (ITB) developed the Garuda Smart City Framework. This framework consists of the smart city representation model, measurement model, collaboration model, development model, Infocomm Technology (ICT) related architecture model, and service canvas. The measurement model potentially can be used to measure the status of cities among ASEAN countries from the view of Smart City. It would then be useful to know the positive impact from each city, to learn from each other. The sharing of solutions and experiences will help achieve the goal of developing a global network of youth leaders for Smart Cities across the region. This will be done in a collaborative manner and via the co-creation of projects with social entrepreneurship to address societal problems within ASEAN. An example of the public-private partnership (PPP) model at Singapore Polytechnic is described as a possible approach for smart cities projects.2018Kok-Chin Tay, Suhono Harso Supangkat, Gregory Cornelius, Arry Akhmad ArmanDownload
44Development of Battery Monitoring System in Smart Microgrid Based on Internet of Things (IoT)In this paper, battery monitoring system based on internet of things (IoT) has been developed to monitor the operational and performance of batteries in a smart microgrid system. This smart microgrid includes a battery pack, PV system, Intelligent Electronic Device (IED) hybrid inverter, grid connection and electricity load. The IoT developed in this work consists of a communication channel from and to IED, data acquisition algorithm, cloud system and Human Machine Interface (HMI). Data acquisition was scheduled to execute every minute as mentioned in IEC61724. The battery monitoring system information as part of battery management system (BMS) is displayed on a Human Machine Interface (HMI) using ExtJS / HTML5 framework which can be accessed using desktop or mobile devices. From analytical results, the average execution time for overall BMS-IoT based data acquisition to the cloud server is 19.54 ± 18.00 seconds. The result of availability monitored data in the cloud database server is 92.92 ± 6.00 percent, which shows satisfactory result for the reliability of BMS-IoT system data acquisition.2017Koko Friansa, Irsyad Nashirul Haq, Bening Maria Santi, Deddy Kurniadi, Edi Leksono, Brian
45Understanding a viable value co-creation model for a sustainable entrepreneurial system: A case study of Batik Solo industrial clusterThis study analyses entrepreneurial system as an intelligent complex organism for a collective goal. Viable system model (VSM) assists the viability investigation process, prescribe and facilitate the agreed improvements from operations to policy management as the highest level of the system. Value co-creation concept from a service science perspective complements the analysis with the external sector by using positive collaborative innovation with customers as a third dimension. The combination of VSM and value co-creation model is applied to the entrepreneurial system of the Batik Solo industrial cluster, as related data has been collected in parallel with the value co-creation research of SBM ITB from 2013-2014. The finding produces a mapping model of the industry, the roles and the improvement from a viable value co-creation point of view that consists of five functional and complete working organs: 1) operation; 2) coordination; 3) integration; 4) intelligence; 5) brain.2015Lidia Mayangsari, Santi Novani, Pri HermawanDownload
46Multi-stakeholder co-creation Analysis in Smart city Management: An Experience from Bandung, IndonesiaThe rapid growth of urban population implies challenges in city domain from natural resource and infrastructure capacity as the hard aspects to social segregation as the soft aspect. This evolution requires real reflection and actions to attain sustainable development and a better quality of life in the city. The concept of smart city emerges as a strategic innovation to limit the issues arisen by the growth of the urban population and meet urban challenges. Smart city as a multi-stakeholder ecosystem upholds the value co-creation process of related actors within a framework to provide and deliver the expected service. Unlike the analogue era, ICT as the new technology enabler in smart city creates a transition of collaboration form among stakeholders. This paper presents an academic development of multi-stakeholder co-creation analysis in smart city management based on the perspective of service science. The analysis proposes a representative model of stakeholders with the designated values, service flow, and expected final result from the conceptual service platform. The model aims to depict in depth contribution of stakeholders which also leads to an innovation of service platform creation. This approach is carried out within the experience obtained from Bandung as one of the running smart city project in Indonesia. Bandung, which just occupies the integrated stage of the smart city maturity stages, does not allow the harmony of value co-creation. The one-way web-based integration resulted in the limited value creation for the society. This model enables a conceptual direction of becoming a two-ways interaction and creates a more convenient co-creation service ecosystem platform among stakeholders in term of innovation.2015Lidia Mayangsari, Santi NovaniDownload
47State of charge (SoC) estimation of LiFePO4 battery module using support vector regressionIn this research work, we demonstrate state-of-charge (SoC) estimation using support vector regression (SVR) approach for a high capacity Lithium Ferro Phosphate (LiFePO4) battery module. The proposed SoC estimator in this work is extracted from open circuit voltage (OCV)-SoC lookup table which is obtained from the battery module discharging and charging testing cycles, using voltage and current as independent variables. The SoC estimation based on SVR gives a perfectly linear curve fitting with its reference within the range of 37.5% to 90% while the rest hysteresis due to the discharging and charging process is compensated using OCV-SoC curve as the training data set. The SVR estimates the battery module SoC with RMSE of 2.3% over the whole test and the maximum positive and negative error is 4%, which means that it shows good accuracy.2015Irsyad Nashirul Haq, Riza Hadi Saputra, Frans Edison, Deddy Kurniadi, Edi Leksono, Brian YuliartoDownload
48Twitter Information Extraction for Smart City2014Raidah Hanifah, Suhono Harso Supangkat, Ayu PurwariantiDownload
49Smart city dashboard for integrating various data of sensor networksUrban growth may lead to various problems. The increasing number of citizens at urban areas may lead the increasing of demand such as new residential, public health, public transport. A city require basic infrastructure such as educational facilities, housing, clean water, sanitation, solid waste, electricity, telecommunications and so on. In the socio-economic level the increasing of city residents must be supplied with availability of jobs. A city must be managed and planned well to handle problems such as traffic congestion, air quality, water quality, water supply, energy supplies, and public health quality and so on. At this paper, we proposed tool using information technology and communication (ICT) to help local government to monitoring what currently happened in the city. We proposed application for monitoring city in single dashboard to help summarize the current condition of city. The architecture system use network sensor consisting of sensor nodes that has function to capture city condition like temperature, air pollution, water pollution, traffic situation. Also we can add another information socio-economic situation like public health service, economic indicator, energy supplies, etc. We have successfully developed the prototype of the smart city dashboard the give more accurate information of Bandung City, one of big cities in Indonesia.2013Sinung Suakanto, Suhono H. Supangkat, Suhardi, Roberd SaragihDownload
50Home energy management system: A framework through context awarenessThe motivation to manage energy usage at residential home in Indonesia is influenced by economics environment condition and technical reasons. Economically, it offers reduction of government subsidies and electricity bill. The environment condition aspect enables reduction of CO 2 level. We consider the room controllable with interface control based on web. The room has a Zigbee hub, a lamp and sensors. The zigbee hubs report the power consumption information to the cloud server through home gateway. This paper purpose a system built on cloud platform based on context awareness. This system will accommodate the integration of services through sharing information platform either for the occupants or the electricity providers. Context awareness approach will provide intelligence on monitoring and controlling services based on user context and environment.2013Nur Iksan, Suhono Harso Supangkat, I Gusti Bagus Baskara NugrahaDownload
51Slum upgrading and urban governance: Case studies in three South East Asian citiesWhilst slum upgrading is often seen as one of the more effective ways of tackling urban poverty, the approaches taken by slum upgrading policies vary considerably, as do their degrees of success. This article reports on a comparative study of slum upgrading experiences in Bandung, Indonesia; Quezon City, Philippines; and Hanoi, Vietnam. It was carried out using a modification of the sustainable livelihoods framework that considered upgrading policies in a hierarchy of levels. The study demonstrated the importance of some form of security of tenure (the definition of which varied across the case studies), a need for sustainable economic activities to be incorporated into the upgrading, the critical importance of governance and institutions and significance of the contributions of the community and elements of civil society.2013John Minnery, Teti Argo, Haryo Winarso, Do Hau, Cynthia C. Veneracion, Dean Forbes, Iraphne ChildsDownload
52Green economy and governance in cities: Assessing good governance in key urban economic processesCities concentrate a large part of the world economy today. Understanding how the urban economy and its decision making function as well as how they are connected to a larger world (regional, national, global) is fundamental to create governance mechanisms and the institutions to move the world towards a green economy. This paper analyzes the city through its key economic processes of the transformation of space; circulation (transport); consumption and production and social, knowledge and ecosystem services. Transforming urban processes will only be achieved with better urban governance. As governance is embedded in institutions, it is the foundation for building the legitimate political and social mechanisms to green socio-ecological and economic systems. Yet the question of whether or not current governance systems in these processes are steering cities towards a greener economy, or if they are, how are they affecting people and ecosystems is yet to be addressed. Thus, we propose a set of governance indicators to assess the greening of urban processes that go beyond the decision-making procedures and include the capacity to implement change, the results of greening the economy and final outcomes on the ground. We also look at the obstacles, achievements and lessons in the greening of the direct and indirect economic processes in cities.2013Jose A. Puppim de Oliveira, Christopher N.H. Doll, Osman Balaban, Ping Jiang, Magali Dreyfus, Aki Suwa, Raquel Moreno-Peñaranda, Puspita DirgahayaniDownload
53Environmental co-benefits of public transportation improvement initiative: The case of Trans-Jogja bus system in Yogyakarta, IndonesiaMany parts of the world have increasingly experienced the impacts of climate change. Data shows that transportation sector is one of the major contributors to greenhouse gas emissions. In line with this issue, more cities in developing countries have taken innovative initiatives to create sustainable urban mobility by, among others, revitalising the role of their public transport systems. However, the objectives vary widely and are often aimed at solving local problems rather than tackling global warming. Meanwhile, studies have suggested the potential of gaining both local and global benefits simultaneously if the policies taken are focused directly on reducing greenhouse gas (GHG) emissions as the intended benefit. This paper attempts to confirm this by looking at the impact of a conventional policy-making process. It estimates the environmental co-benefits potentials of both air quality improvement and CO2 emission reduction generated by an urban public transport improvement project. It takes Trans-jogja bus system initiative introduced in Yogyakarta Special Region Province, Indonesia, as the case study. This case study is relevant considering that the project was originally aimed at simply improving the city's public transport quality. In other words, the intended benefit was solving local problem whereas GHG emissions reduction was perceived as the co-benefit. Finally, it provides insights regarding the obstacles and opportunities to advance the environmental co-benefits.2013Puspita DirgahayaniDownload
54Environmental and disaster sensing using cloud computing infrastructureThe remote monitoring system is growing very rapidly due to the growth of supporting technologies as well. Problem that may occur in remote monitoring such as the number of objects to be monitored and how fast, how much data to be transmitted to the data center to be processed properly. This study proposes using a cloud computing infrastructure as processing center in the remote sensing data. This study focuses on the situation for sensing on the environment condition and disaster early detection. Where those two things, it has become an important issue, especially in big cities big cities that have many residents. This study proposes to build the conceptual and also prototype model in a comprehensive manner from the remote terminal unit until development method for data retrieval. We also propose using FTR-HTTP method to guarantee the delivery from remote client to server.2012Sinung Suakanto, Suhono H. Supangkat, Suhardi, Roberd Saragih, Tunggul Arief Nugroho, I Gusti Bagus Baskara NugrahaDownload
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