Indra Budi

• University of Indonesia

Purpose The assessment of citation value necessitates considering the number of citations and the specific characteristics of in-text citations. This article establishes the significance of location and contextual meaning attributes in determining the citation value. It also aims to create a framework for assessing the quality score metric of citat...

Toponym is an essential element of geospatial information. Traditionally, toponyms are collected in a gazetteer through field surveys that require significant resources, including labor, time, and money. Nowadays, we can utilize social media and online news portals to collect event locations or toponyms from the text. This article presents a survey...

This research investigates the application of Long Short-Term Memory (LSTM) networks for predicting expected returns and integrating these predictions into the Markowitz Mean-Variance Optimization (MVO) framework. The study utilized historical data from eight Indonesian stocks: BBCA, BBRI, TLKM, EXCL, UNVR, ICBP, ASII, and SMGR. The dataset covered...

The rapid expansion of digital transactions in Indonesia is driving the transformation of both traditional and digital banks. Since digital banks operate without physical branches, all banking services are via mobile banking apps. This study examines mobile banking service quality using text mining techniques like topic modeling and term ranking to...

Named Entity Recognition (NER), a core task in Information Extraction (IE) alongside Relation Extraction (RE), identifies and extracts entities like place and person names in various domains. NER has improved business processes in both public and private sectors but remains underutilized in government institutions, especially in developing countrie...

Long before the elections were held, the topic related to elections was widely discussed on news portals and social media, including Twitter. A few studies related to the Indonesian election have tried to predict candidates who will run for the presidential election, but there has been no research that examines public sentiment on social media towa...

Knowledge graph question answering (KGQA) systems have an important role in retrieving data from a knowledge graph (KG). With the system, regular users can access data from a KG without the need to construct a formal SPARQL query. KGQA systems receive a natural language question (NLQ) and translate it into a SPARQL query through three main tasks, n...

The need for a healthy and pollution-free environment is the basis of the problem that this study examines. Social media has become an integral aspect of daily existence for the majority engaged in the digital realm. It enables individuals from various backgrounds to utilize these platforms to stay updated on the latest information, such as the cur...

Forecasting the stock market is one of the most popular topics to be discussed in many fields. Many studies, especially in information technology have been conducted machine learning algorithms to achieve a more accurate prediction of the stock market. This research aims to find the effectiveness in predicting stock market performance by utilizing...

The increasing role of Indonesian academic digital libraries in research support services has the consequences of changing the business process. Business process reengineering (BPR) needs to be implemented with business models and business processes that have been developed. Successful implementation requires appropriate strategies according to spe...

Social media is currently widely used to disseminate various kinds of information, whether expressing feelings, or opinions. Public opinion is no exception regarding government policies and the implementation of emission tests, which describe the conditions that exist in society. Information on public opinion data obtained through social media in r...

In recent years, biodiversity has emerged as a prominent and pressing topic due to the urgent need to address biodiversity loss and the recognition of its connections to climate change and sustainable development. Additionally, increased public awareness and the consideration of economic factors have further underscored the significance of biodiver...

Social commerce is a digital and efficient solution to transform existing commerce and address contemporary issues. TikTok Shop, a popular and trending social commerce platform, competes with established competitors like Facebook Marketplace and Instagram Shop. TikTok Shop offers benefits and incentives to attract users for both sales and product p...

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 i...

Nowadays Hate Speech and Abusive Language (HSAL) have spread extensively over social media. The easy use of social media allows people to abuse the media to spread HSAL. Hate speech and abusive language in social media must be detected because they can trigger conflict among citizens. Not only in social media, but HSAL also often trigger conflict i...

Innovation in the small-medium industries (SMI) sector, which has limited human resources, requires collaboration with academic researchers. Thus, SMI needs an appropriate search tool to find a suitable researcher. Since the skill classification of researchers arranged in an academic environment is very formal and hierarchical, it tend to be challe...

A name entity (NE) is a proper name that designates a person, location, or organization. For humans, named entity recognition (NER) is a straightforward process insofar as many named entities are self-names, and most of them have initial capital letters and can be easily recognized, but it is very difficult for machines. This study discusses resear...

Twitter is one of the world’s largest social media, reaching 330 million active users every month. Therefore, conducting sentiment analysis on Twitter should give a representative picture related to public perception. Twitter allows its users to use Hashtags and Emoji while posting a Tweet, and those become common on Twitter. Emojis and Hashtags ca...

Penelitian ini berfokus untuk melakukan analisis sentimen berbasis aspek dan pemodelan topik pada destinasi pariwisata Indonesia, yaitu Candi Borobudur dan Candi Prambanan dengan menggunakan ulasan pengguna Google Maps dan Tripadvisor. Analisis sentimen berbasis aspek dilakukan menggunakan lima pendekatan machine learning, yaitu Naïve Bayes (NB), L...

The Covid-19 pandemic has resulted in an often uncertain situation. On this basis, the government has implemented a ban on going home for the second time in 2021 to prevent a potential increase in Covid-19 cases. This rule raises pros and cons in society. Twitter and Instagram as social media platforms then became a means to voice reactions to the...

There are several online media closed by the Ministry of Communication and Informatics for selling abortion drug. To keep PT XYZ from being shut down by the Ministry of Communicatison and Information, PT XYZ pays attention for the circulation of this abortion drug by developing the pending system. However, the pending system only waited for the tit...

Many people express their opinions regarding policies or rules imposed by the government through Twitter social media. This study was conducted to determine public sentiment regarding the rules for implementing the reverse-transcriptase polymerase chain reaction (RT-PCR) test as one of the requirements for using air transportation. The research was...

Hate speech is an action in the form of communication either directly or through the media performed by groups or individuals with the aim of provoking, inciting, or insulting a group or other individuals. 3,640 hate speech spread across various social media. 677 KBGO cases, which were dominated by sexual violence cases spread through online media....

Traditional citation analyses use quantitative methods only, even though there is meaning in the sentences containing citations within the text. This article analyzes three citation meanings: sentiment, role, and function. We compare citation meanings patterns between fields of science and propose an appropriate deep learning model to classify the...

Purpose This study aimed to identify mothers’ needs in discharge planning for low birth weight (LBW) babies. Method A qualitative descriptive method with semi-structured interviews was used. Samples were collected via purposive sampling of eight mothers. Interviews were audio-recorded, transcribed, and thematically analysed. Results The key needs...

The expeditious development of mobile applications has transformed how travel e-commerce firms enhance customer relationships to implement their business strategies successfully. However, the literature has identified that a major determinant affecting customers' considerations to reject a mobile application is a deficiency of usability. Therefore,...

Selama pandemi COVID-19 yang telah melanda dunia sejak akhir tahun 2019, transaksi dengan metode pembayaran cashless mengalami peningkatan signifikan. LinkAja sebagai salah satu perusahaan dompet digital di Indonesia yang melayani pembayaran cashless, perlu meningkatkan daya saing di tengah ketatnya persaingan bisnis dompet digital. Salah satunya a...

Entity detection task on knowledge graph question answering systems has been studied well on simple questions. However, the task is still challenging on complex questions. It is due to a complex question is composed of more than one fact or triple. This paper proposes a method to detect entities and their position on triples mentioned in a question...

Congested roads and daily traffic jams cause traffic disturbances. A traffic monitoring system using closed-circuit television (CCTV) has been implemented, but the information gathered is still limited for public use. This research focuses on utilizing Twitter data to monitor traffic and road conditions. Traffic-related information is extracted fro...

Southeast Asia, including Indonesia, is seeing an increase in digital banking adoption, owing to changing customer expectations and increasing digital penetration. The pandemic Covid-19 has hastened this tendency for digital transformation. However, customer satisfaction should not be left unmanaged during this transition. This research aims to obt...

Rinca Island is included in one of the islands in NTT Province, which is used as a National Park to protect Komodo dragons. According to the government's agenda, in June 2021, Rinca Island will build a world-class premium tourist destination project for tourists who want to see Komodo, which is called Jurassic Park Komodo. The existence of tourism...

The formation of Job Creation Bill has raised the polemics in Indonesia. This study aims to identify the public’s stance on the Job Creation Bill on Twitter social media. We collect tweets using keywords related to the Job Creation Bill and annotate nearly 10K tweets with a class label describing stance position. The experiments were conducted usin...

The growth of the number of e-commerce users and the items being sold become both opportunities and challenges for e-commerce marketplaces. As the existence of the long-tail phenomenon, the marketplaces need to pay attention to the high number of rarely sold items. The failure to sell these products would be a threat for some B2C e-commerce compani...

Several studies have highlighted the critical role of academic digital libraries in providing research support services and improving research performance. Although several studies have discussed the value of realizing this role, a business model that can serve as a reference in carrying out this role is not yet available. This research aimed to pr...

The Office Automation application is a common application in one of the ministries in Indonesia that contains features of correspondence management, task management, collaboration tools, attendance, and meeting management. The application is expected to be used for all Echelon I Units and helps smooth business processes at the Ministry during the p...

Named Entity Recognition (NER) is often used to acquire important information from text documents as a part of the Information Extraction (IE) process. However, the text documents quality affects the accuracy of the data obtained, especially for text documents acquired involving the Optical Character Recognition (OCR) process, which never reached 1...

Coreference resolution is an NLP task to find out whether the set of referring expressions belong to the same concept in discourse. A multipass sieve is a deterministic coreference model that implements several layers of sieves, where each sieve takes a pair of correlated mentions from a collection of non-coherent mentions. The multi-pass sieve is...

The number of legal documents is already huge and growth is occurring at a swift pace; yet, the need to procure information from these documents for various purposes persists. One of the technologies available for this purpose is information extraction (IE), which has been applied widely in different domains to date. However, few research reviews h...

Insurance is a form of risk management and one of the fastest-growing business. PT XYZ is a company that focuses on health and life insurance. One excellent product owned by PT XYZ is Managed Care (MC) Insurance and it dominates 64.5% of the company's premium income. However, MC has a high claim ratio value. Proven by there were 363 companies that...

Classifying citations according to function has many benefits when it comes to information retrieval tasks, scholarly communication studies, and ranking metric developments. Many citation function classification schemes have been proposed, but most of them have not been systematically designed for an extensive literature-based compilation process....

In social media, people are free to express their feelings and thoughts. However, people can also use abusive language and hate speech to insult or humiliate individuals or groups on social media, such as Twitter. Various detection methods have been developed to control the spread of abusive language and hate speech in Indonesia, but the detection...

Financial technology (fintech) is a growing industry in Indonesia, supported by advances in the technological infrastructure. At the end of 2019, the Financial Services Authority (OJK), the financial authority in Indonesia, recorded 164 registered and licensed fintech (P2P lending) companies. However, since early 2018, the Investment Alert Task For...

The Covid-19 pandemic that hit the world, including in Indonesia, had a significant impact. Casualties, economic downturn, extreme poverty, and major changes in education are still happening today. The presence of the Covid- 19 vaccine is new hope for mankind to end this pandemic situation. The emergence of two types of vaccines in Indonesia, Sinov...

In-text citations have been put forward as a new way to overcome the bias inherent in bibliographic citation analysis. In-text citation patterns have been used as the basis for citation analysis previously, but all the evidence has come from international journals. However, many countries have more local journals than international journals. This p...

One of the most important tasks in the telecommunication company is to maintain the customer churn rate and customer satisfaction level. These things can be maintained by evaluating the churn customer factors. The results of this evaluation can certainly be used to improve the services of the company, so that customers will be stopped from churn an...

In education, teacher will frequently ask his student to measure the level of understanding for each student. Meanwhile, the need for self-evaluation for students is requiring the system that able to automatically generate question whenever they want. In order to tackle that problem, there is an area of research, called as question generation (QG)....

Digital transformation creates challenges in all industries and business sectors. The development of digital transformation has also clearly triggered the emergence of fintech (financial technology) initiatives, which are recognized as some of the most important innovations in the financial industry. These initiatives are developing rapidly, driven...

In this paper, we present our approach and the results of our participation in OffensEval 2020. There are three sub-tasks in OffensEval 2020 namely offensive language identification (sub-task A), automatic categorization of offense types (sub-task B), and offense target identification (sub-task C). We participated in sub-task A of English OffensEva...

The objectives of our work are to propose the relevant Universal Dependencies (UD) morphological features for Indonesian dependency treebank and to apply the proposed features to an existing treebank. We propose the use of 14 UD v2 features and the corresponding 27 feature-value tags. To evaluate the quality of the resulting treebank, we built mode...

Digital libraries play an essential role in supporting higher educations research. Therefore, Indonesia's academic libraries require digital library research support services and strategies to adopt such services quickly. Strategy design is carried out in three stages: a literature review using guidelines from the Preferred Reporting Items for Syst...

To overcome the lack of NLP resources for the low-resource languages, we can utilize tools that are already available for other high-resource languages and then modify the output to conform to the target language. In this work, we proposed an approach to convert an Indonesian constituency treebank to a dependency treebank by utilizing an English NL...

In modern times, the digital transformation of organizations and communities is a necessity to achieve a competitive advantage. Therefore, the ability to map the potential of scattered and diverse digital knowledge sources automatically and quickly is urgent for identifying critical knowledge so that organizations can effectively carry out knowledg...

In this paper, we conducted an aspect-based sentiment analysis using Google Maps user reviews of Indonesia’s tourism destinations which are Borobudur and Prambanan Temple. The aspects we used are Attractions, Amenities, Accessibility, Image, Price and Human Resources. The dataset obtained is in code-mixed language. We applied five machine learning...

Purpose Knowledge growth is currently experiencing a very exponential increase, through a digital transformation of knowledge in the organization and the emergence of various platforms through management system content such as blogs and social media that have encouraged such growth. An employee no longer only interacts in knowledge management (KM)...

Implementing Hospital Information System is an ultimately important practice that should be performed by hospitals in order to deliver accurate, timely, complete, and easily accessible data/information in an integrated manner. Given the specific characteristics of Indonesia, the objective of this research is to design an Information System Architec...