Showing papers by "University of Indonesia published in 2023"

Consumption Contribution to Economy Growth

Abstract: The analysis of the final consumption influence on the Gross Domestic Product is rarely studied. The final consumption is one important studies that follow the expenses method of GDP calculation and formation. The econometric approach gives substantial results when a longer interval is approached. The fact of econometric model is the dependence of the national economy on final consumption. Thus, the unifactorial regression model can be used to establish the influence that the value of final consumption. The Researcher make some description about final consumption in Southeast Asia+3 and US.

Geographical Names as Indicators of the Environment: Case Study in Bandung Basin, West Java, Indonesia

Abstract: Indonesia is a vast country with 17,000 (thousand) islands covering three time zones and has a cultural diversity with 718 languages. One of the interesting areas to be discussed from a hydronymy point of view is (in the area of) the Bandung Basin. It is home to the Sundanese ethnic group (. The Bandung Basin) and is the base of the Ancient Bandung Lake which was formed due to the eruption of Mount Sunda 105,000 years ago. The Ancient Lake collapsed around 16,000 years ago, gradually receding, leaving behind a vast lake and wetlands. Archaeological findings around the lake suggest (ing) that the surrounding area once supported early human habitation that provided water and food. The Sundanese have a legend called Sangkuriang that mentions the existence of the lake, as well as the mythical origin on the lake’s creation. This might suggest the collective memories about the lake’s existence (,) was transmitted by oral tradition through the ages. In this Bandung Basin, we found an abundance variety of generic terms for hydronyms. Business and tourism interests appear to be less compliant with the UNGEGN resolution to use local names. Changing geographical names actually eliminates knowledge about natural conditions including earthquake mitigation.

Composition-based aluminum alloy selection using an artificial neural network

Abstract: Abstract Materials selection for aluminum alloys with desired fatigue and other mechanical properties is very difficult. Usually, when fatigue properties are maximized, other mechanical properties should be compromised. In this paper, an artificial neural network was utilized to build two prediction models that has the purpose of predicting fatigue life from composition and inverse design to predict composition from fatigue properties as a tool for materials selection. A first model was built to predict fatigue life using information on alloy composition, heat treatment, and other mechanical properties. The second model is an inversion of the first model, which predicts the material compositions to get the desired fatigue performance and other mechanical properties. Both models produce good performances based on the R2 scoring metric, where the values were found to be 0.92 and 0.96 for the first and second models, respectively. This study proved that the inversion model for predicting composition based on fatigue properties can reach acceptable accuracy and can be used as a materials selection tool. In addition, to investigate how atomic properties can affect fatigue life, the third model was built. It was found that atomic properties, such as electronegativity and the radius of alloying elements, are closely related to fatigue life and can be used to predict fatigue life as well. The significance of our work is that users can design new alloys for specific applications as well as select available alloys based on fatigue property criteria.

A multitemporal and multisensor study of land displacement due to 5.6M earthquake in Cianjur, West Java, Indonesia

Abstract: Indonesia is located in the so-called "Ring of Fire," a region of high seismic activity surrounding the Pacific Ocean. The country is particularly vulnerable to earthquakes due to its location on the Sunda megathrust, a major boundary between the Eurasian and Indo-Australian tectonic plates. On November 21, 2022, a magnitude 5.6 earthquake struck the Indonesian island of Java, with its epicentre located in Cianjur, West Java. The earthquake caused significant damage to the region's buildings and infrastructure, and several reports of injuries and fatalities were reported. In this study, we used multisensor and multitemporal data to investigate land deformation in the study area. We used three pairs of Sentinel-1 datasets, acquired before and after the earthquake and used the InSAR algorithm to produce land displacement maps. Furthermore, we acquired aerial photogrammetry to produce very high-resolution images of the affected areas. We also classified the Planet imagery using a random forest classifier to extract the landslide events in the study area. Our results show that the earthquake caused significant land deformation in the area, with surface displacements up to 9.8 cm and 11 cm for land uplift and land subsidence, respectively. We found that the deformation was primarily concentrated in the southeastern and northwestern parts of the study area. The earthquake led to secondary disasters such as landslides and collapsed residential buildings. It’s due to the combination of geological factors and the building structures. Where the buildings structures that were not built to be earthquake-resistant stood on the old volcano products have experienced weathering. Our findings highlight the usefulness of radar dan optical remotely-sensed data in studying the effects of earthquakes and can be used to inform future disaster response and recovery efforts.

The impossibility of the impossible trinity? The case of Indonesia

Abstract: Abstract The impossible trinity suggests that an economy cannot simultaneously achieve a fixed exchange rate, high capital mobility, and independent monetary policy without abandoning one of these. However, This paper looks at Indonesia’s experiences from the 2009 QE and the 2013 taper tantrum, considering why Indonesian policy-makers were unable to use policies as per the trilemma, and the policy implications of this. There are three possible reasons why Indonesia found it difficult to implement this trilemma policy choice: differing monetary policy objectives, volatile floating exchange rates, and balance sheet effects. The commodity supercycle also plays an exogenous role, unable to be overcome by monetary or exchange rate policy while at the same time impacting fiscal policy, income redistribution, trade balance, and the exchange rate. Overall, this paper argues that monetary policy on its own is likely to be insufficient to manage the economy adequately. Other levers and factors, such as macroprudential policy, fiscal policy, capital flow management, and institutional quality, are critical to make the policy choices more effective.

Physician's hesitancy in treating COVID-19 patients and its associated occupational risk factors in Indonesia: an online cross-sectional survey

Abstract: This cross-sectional survey aims to investigate physician hesitancy in treating COVID-19 patients in Indonesia, particularly among those who have already contracted the disease, along with associated occupational risk factors. The study involved distributing a questionnaire to physicians across the country, using contact information from the Indonesian Physician Association database. The results show that out of the 383 participants, 25.6% experienced moderate symptoms of COVID-19, and 2.9% required critical care. The study found that 20.3% of physicians demonstrated hesitancy to treat suspected, probable, or confirmed COVID-19 patients. Interestingly, older physicians and those with less experience in treating COVID-19 patients were found to have a higher hesitancy rate, while specialist trainees and those working in public hospitals demonstrated the lowest hesitancy. These findings highlight the significant hesitancy among physicians who have suffered from COVID-19 and underscore the need for management and policymakers to take further action to address this issue. Understanding the effect and benefits of physician hesitancy in treating COVID-19 patients is crucial for ensuring the effective delivery of healthcare services during pandemics like COVID-19.

Futuring ‘Nusantara’: Detangling Indonesia’s Modernist Archipelagic Imaginaries

Abstract: Abstract Archipelagic identities have long patterned Indonesian historic imaginaries, collective memory, and its postcolonial modernist narratives on nation-building. This chapter examines and puts into conversation two distinct and interrelated concepts undergirding archipelagic thinking – ‘Nusantara’ and the lesser studied ‘Tanah Air’ – against speculative visions of Indonesia’s developmental trajectories. These concepts intersect with Indonesia’s aspirational vision as a maritime nation that is to take its place within a regional and globalist paradigm of ocean-centric economic growth. Inspired by critical ocean studies and by drawing on narrative analysis, we begin by considering the paradoxes within Indonesia’s contemporary blue economy growth visions in relation to its older land-based biases in planning and nation-building. In critically engaging with Indonesia’s own oceanic turn towards a blue growth orthodoxy, we consider three aspects of its futuring trajectory, namely industrialization, infrastructural development, and its recent choice of relocating its administrative capital to east Kalimantan. While engaging with paradigmatic land-locked biases and political path dependencies that unwittingly entrench ‘Java-centric’ development, we illustrate how Indonesia’s distinct archipelagic thinking has co-evolved in recent history, and with what cultural resonance for its nation-building vision in the decades to come.

Material Characteristics and Electrical Performance of Perovskite Solar Cells with Different Carbon-Based Electrodes Mixed with CuSCN

Abstract: Perovskite solar cells are the most cutting-edge photovoltaic technology having high efficiency and short fabrication time. In recent decades, there has been a significant rise in the study of the usage of carbon materials in perovskite solar cells because of low cost and earth abundance. Several studies have been conducted to mix hole transport materials with carbon materials to improve the hole extraction capability. Nevertheless, no research has reported using CuSCN on different carbon electrodes on perovskite solar cells. In this research, various carbon materials, including carbon nanotubes (CNT), graphite, activated carbon, and reduced graphene oxide (rGO), are mixed with CuSCN. The carbon materials and CuSCN were mixed by ball mill and then deposited using the doctor blading method to become an electrode layer. The existence of CuSCN in carbon materials was proved by conducting the energy dispersive X-ray test. CNT mixed with CuSCN material exhibits the highest electrical conductivity indicated by ID/IG ratio of 1.22 using Raman spectroscopy. Perovskite solar cell with a mix of CNT and CuSCN electrode exhibits the lowest series resistance of 76.69 Ω, resulting in the optimum solar cell performance such as a short-circuit current density (JSC) of 0.199 mA/cm2, open-circuit voltage (VOC) of 0.52 V, fill-factor (FF) of 0.369, and efficiency of 0.0735.

Influencer Detection Through Social Network Analysis on Twitter of the Indonesian Smartphone Industry

Abstract: In the modern era, the company's marketing strategy has included the use of social media to increase product sales. For a business, social media can give both tangible and intangible benefits. The role of influencers is undeniably important in reviewing smartphones to generate significant sales profits, therefore identifying the proper influencer is a challenge for companies. Influencers in the smartphone industry are commonly selected based on several factors. This case research aims to show how the public, particularly on Twitter, is discussing the brand's smartphone products. This study aims to identify actors who play a key role in promoting smartphone products. The In-Degree, Outdegree, and Betweenness Centrality measures are used in this study to identify influencers using the Social Network Analysis approach. It was found that some influencers are also thought to have the ability to raise a brand's product awareness. There are 3 types of influencers, a real influencer who like to review smartphone product, an account that focuses on educating people about the specification of a gadget, and a person who often retweet Samsung smartphone product.

Design and Realization of Integrated Control System Based on Microsoft Visual Basic .Net and Mitsubishi’s Programmable Logic Controller (PLC) Through Ethernet Cable

Abstract: Using of RS232 and RS422 communication cable in industrial automation for communication between controller and touch screen was often used, but it has limit on the distance so that make a developing for cable communication is increasing gradually such as profinet and profibus. However, those cable have a less speed and need an adding connector for communication with Personal Computer (PC). In addition, manufactured touchscreen has a limitation in providing the visualization and storing the data for further analysis. Therefore, it is built an integration system which can support PLC Mitsubishi to communicate with Microsoft Visual Basic via UTP Cable. Not only controlled, those several machines also monitored and able to be acquired data. In this research, has a result that time connection to be used open communication from engineering software has been made from Microsoft Visual Basic .Net was installed on PC to PLC as Human Machine Interface (HMI) on average 0,85 second and for close communication on average 0,58 second. In addition, data were shown into PC same with actual value from PLC and have a correction approximately 0,2 until 0,4, also have an average deviation standard on average 0,45 until 1,64. So, the HMI has a good accuration. And time delay to show data from PLC to PC only 0,44 second with scan rate set on 0,5 second.