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INDONESIA
Proceedings International Conference on Economic Business and Social Science
Published by CV. Publikasi Indonesia
ISSN : -     EISSN : 30265460     DOI : https://doi.org/10.59141/icebss
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International Conference on Economic Business and Social Science (ICEBSS) aims to facilitate an open knowledge exchange and interesting discussion on the latest developments in all areas of social science and science. We bring together top members of academia, researchers, non-profit organizations, government, and business representatives for a day of lively discussions, engaging presentations, and engaging workshops.
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Articles 26 Documents
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SEARCH ENGINE OPTIMIZATION STRATEGIES Aldo Faisal Umam
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.1

Abstract

This study examines the impact of artificial intelligence (AI) on search engine optimization (SEO) strategies. In recent years, search engines have undergone significant changes in the use of AI technology to improve the quality of search results. Although the implementation of AI technology in SEO is still relatively new, research has shown that the use of this technology can help improve the quality of search results and provide a better search experience for users. This article discusses how AI technology can help improve the quality of search results through content optimization, the development of more sophisticated search algorithms, and the use of machine learning and natural language processing techniques to understand the search context and provide more relevant results. In addition, this article also discusses the implications of using AI technology in SEO and the challenges that may be faced in implementing this technology. In this study, the research method used is a literature review, by collecting and analyzing data from academic sources and related publications. By examining the literature, this study highlights the potential benefits and limitations of using AI technology in SEO, and provides insights into the future direction of search engine optimization strategies. Overall, this article contributes to the growing body of knowledge on the role of AI technology in improving search engine optimization strategies, and provides valuable insights for researchers, practitioners, and industry professionals in this field.
MONEY SUPPLY IN INDONESIA 1990-2020: PARTIAL ADJUSTMENT MODEL APPLICATION Lucida Ary Meidiani
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.2

Abstract

The money supply is one of the important factors to maintain the stability of a country's economy. Factors that can affect the money supply include GDP, investment, and interest rates. The purpose of this research was to estimate the effect of GDP, investment, and interest rates on money supply growth in Indonesia from 1990-2020 both in the short and long-term using the Partial Adjustment Model (PAM) regression analysis. The regression results showed that GDP and investment had no effect on the money supply growth in Indonesia from 1990-2020, while interest rates had a negative effect. The government is expected to increase GDP and investment to boost consumption, so that people are prosperous and Indonesia's economic growth increases. This will lead to the increase in the money supply growth. In addition to the government, Bank Indonesia as the central bank is expected to be able to control interest rates so that they are not too high or too low, with the hope of maintaining the stability of the money supply so that the possibility of inflation causing economic downturn tends to be low
EARLY DETECTION OF CURRENCY CRISIS IN INDONESIA USING A COMBINATION OF VOLATILITY AND MARKOV SWITCHING MODELS BASED ON EXPORT INDICATORS Efi Yatun Hasanah; Sugiyanto Sugiyanto; Yuliana Susanti
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.3

Abstract

The currency crisis that occurred in Indonesia in 1997/1998 and 2008 had a significant impact on the Indonesian economy. An early detection system for crises is necessary to minimize the impact of such crises. One model that can detect currency crises is a combination of volatility and Markov switching models. There are several indicators that can be used to detect currency crises in a country, and one of them is exports. Research results indicate that the best combination of volatility and Markov switching models for the export indicator is MS-ARCH (2,2) with an assumption of two states. The crises of 1997/1998 and 2008 can be detected using the smoothed probability values with certain limits. Predictions for the period of July 2022-June 2023 based on the export indicator show no signs of a crisis in Indonesia.
INCREASING THE EFFECTIVENESS OF PERSUASIVE COMMUNICATION THROUGH THE USE OF EMOTIONAL INTELLIGENCE Fatih Humam Ramadhan; Dian Adriany
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.4

Abstract

Persuasive communication is a form of communication that aims to influence the attitudes, beliefs, and behavior of the audience. However, the effectiveness of persuasive communication depends on the communicator's ability to convey the message persuasively and convincingly. Emotional intelligence is an individual's ability to recognize, understand, and manage one's own emotions as well as the emotions of others. This study aimed to examine the effect of the use of emotional intelligence on the effectiveness of persuasive communication. This study used an experimental method with a pretest-posttest control group design. The study participants consisted of 60 college students who were randomly divided into experimental groups and control groups. The experimental group was given emotional intelligence training for 3 days, while the control group was not given training. Afterwards, both groups were asked to make persuasive presentations on controversial social issues. Assessment of the effectiveness of persuasive communication is carried out by an independent jury. The results showed that there was a significant difference between the effectiveness of persuasive communication of the experimental group and the control group. The experimental group produced a more persuasive and convincing presentation compared to the control group. This suggests that the use of emotional intelligence can increase the effectiveness of persuasive communication. This research has important implications for persuasive communication practitioners, especially in terms of training and developing persuasive communication skills. Emotional intelligence training can improve communicators' ability to recognize audience emotions, understand their needs and wants, and manage their own emotions in persuasive communication situations
EARLY DETECTION OF CURRENCY CRISIS IN INDONESIA BASED ON STOCK PRICE INDEX USING VOLATILITY MODEL AND MARKOV SWITCHING Berlyana Ayu Prasasti; Sugiyanto Sugiyanto; Sri Subanti
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.5

Abstract

The currency crisis occurred in Indonesia from 1997 until 1998 and 2008. These crises had a negative impact, both in terms of the economy and social life. Therefore, a system is needed to detect currency crisis to create economic and currency stability. The crisis can be detected through economic indicators, such as stock price index. This study aims to determine the appropriate model and determine the results of the prediction of the currency crisis in Indonesia from November 2022 to October 2023 based on stock price index. The research started by forming  model, then the volatility model which is , and then formed a combination of volatility and markov switching model. This combined model is used to form a smoothed probability that can detect crisis. The results showed that  is a suitable model and from November 2022 to October 2023 it is predicted that there will be no currency crisis in Indonesia.
COMBINED VOLATILITY AND MARKOV SWITCHING MODELS FOR CURRENCY CRISIS DETECTION IN INDONESIA ON REAL DEPOSIT RATE INDICATORS Widyantara Arya Bagja Soenardi; Sugiyanto Sugiyanto; Winita Sulandari
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.6

Abstract

Indonesia experienced its worst currency crisis in the mid-1997 and the global currency crisis in 2008. The impact of these crises had a significant negative effect on the country's economy. Therefore, a system is needed to detect currency crises and prevent their recurrence. One indicator that can be used to detect currency crises is real interest rate savings. A combination of volatility models with Markov switching can be used to detect currency crises. The research results showed that the MS-ARCH(1) model can be used to detect crises in real interest rate savings indicators. Based on these results, it is predicted that the Indonesian economy will remain stable from mid-2022 to 2023
APPLICATION OF ARTIFICIAL NEURAL NETWORK METHOD IN CURRENCY CRISIS DETECTION IN INDONESIA BASED ON MACROECONOMIC INDICATORS Rosma Dian Pertiwi; Sugiyanto Sugiyanto; Irwan Susanto
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.7

Abstract

The global crises of 1997 and 2008 that affected various countries had significant impacts on the economies of developing countries in the world, including Indonesia. If not addressed, these impacts could have adverse effects on Indonesia. Therefore, it is necessary to have an early warning system for currency crises to anticipate the negative effects of such crises. This study employs the Financial Pressure Index (FPI) crisis threshold approach with perfect signal value as the dependent variable and 13 macroeconomic indicators as independent variables to develop an early warning model for currency crises in Indonesia using Artificial Neural Network method with Multilayer Perceptron Backpropagation algorithm and adding Adaptive Moment Estimation (Adam) optimization in weight modification process. The testing results on validation and test data show that Adam optimization produces high accuracy, sensitivity, and specificity. Based on the best model, it is found that the period from July 2021 to June 2022 has a perfect signal value of 0, meaning that there will be no crisis in Indonesia from July 2022 to June 2023. In conclusion, this study shows that the Artificial Neural Network method with Adam optimization can effectively detect currency crises in Indonesia
THE INFLUENCE OF THE LEADERSHIP STYLE OF THE HEAD OF PENALTY INSTITUTIONS AND THE MANAGEMENT OF ISLAMIC RELIGIOUS DEVELOPMENT ON THE MENTAL SPIRITUAL OF PRISONERS IN CLASS II-A PENALTY INSTITUTION, KUNINGAN, WEST JAVA Asep Rohani
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.8

Abstract

Leaders have a major role in the direction and change of an organization. Visionary leaders can give color to organizational change and direction, while leaders who can guide, formulate and control policies within the organization are obligations that are given spontaneously in their status as leaders both structurally and culturally. Education is the foundation and the main capital in building a nation so that a leader who plays a role in education both conceptually and technically is needed. In the Islamic concept of a leader, every individual is a leader, and the smallest leadership in the order of the leadership concept is to lead oneself. This study used a survey method with correlation techniques to determine the influence of leadership style and management of Islamic religious development on the spiritual mentality of inmates at Class II A Penitentiary, Kuningan, West Java. The results of the study show that the leadership style and management of Islamic religious development have an effect on the spiritual mentality of prisoners in the institution. However, the influence of leadership style on the development of Islam in the institution is considered low.
IVAN PAVLOV'S BEHAVIORISTIC PERSONALITY THEORY IN LEARNING SHAPES THE BEHAVIOR OF LEARNERS Nabilaa Faizatuz Zuhriyah; Vivi Meilinda; Saona Saona; Rani Santika; Nuralifah Nuralifah
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.9

Abstract

One of the schools of psychology that can increase the effectiveness of learning is behaviorism. by using Ivan Pavlov's theory of behaviorism in teaching to influence student behavior. The purpose of this research is to increase the efficacy and efficiency of learning. This research uses literature review or literature research strategy. Research journals, theses, textbooks, and publications related to the issues being discussed are sources of research data. Based on the data analysis, it was found that: Behaviorism is a learning theory that prioritizes training or habituation in the learning process and emphasizes aspects of behavior formation, including stimuli and responses that can affect changes in behavior as a learning outcome
ANALYSIS OF THE UTILIZATION OF PRODUCTIVE ZAKAT AS A MEANS OF BUSINESS ASSISTANCE FOR MUSTAHIQ ASSISTED BY BAZNAS CIREBON CITY Fauzi Rizky Bahari
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.10

Abstract

The Covid-19 virus pandemic in Indonesia has resulted in an increase in the poverty rate in the community, the impact of the outbreak of the Covid-19 pandemic is very much felt in many countries, especially in Indonesia. Four sectors are most depressed due to the Covid-19 virus outbreak, namely households, MSMEs, corporations, and the financial sector. Productive zakat is one of the effective zakat distribution models in solving social problems, especially poverty alleviation. So productive zakat must be managed properly. The distribution of zakat should be prioritized to build productive businesses for zakat recipients in order to be able to generate income for mustahiq. In other words, the distribution of zakat must change from a consumptive pattern to a productive pattern.This study aims to analyze the productive zakat program in BAZNAS Cirebon city, analyze the implementation of productive zakat by the Cirebon city BAZNAS, and analyze the benefits of productive zakat on the welfare of mustahiq.This research uses a descriptive qualitative approach with the type of case study research, in which the researcher conducts an in-depth exploration of the program, events, processes, activities, of the Cirebon City BAZNAS employees and the mustahiq of the productive zakat program.The results of the study showed that BAZNAS Cirebon city maximized efforts in collecting and distributing zakat by using several strategies. In terms of collection, BAZNAS Cirebon city uses a socialization strategy through zakat fitrah and socialization through social media. In terms of distribution, BAZNAS Cirebon uses a strategy of utilizing zakat by creating social programs. There are also several problems at BAZNAS Cirebon city in carrying out community empowerment through the utilization of zakat or commonly called productive zakat, namely: Immature program planning, Lack of reliable companion human resources, Not yet established a sustainable empowerment cycle. The external problems of BAZNAS are: Low ZIS income to BAZNAS, Low awareness of zakat obligors, Low entrepreneurial spirit of mustahiq.

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