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Aptisi Transactions on Management
Published by Pandawan Sejahtera Indonesia
ISSN : 26226812     EISSN : 26226804     DOI : 10.33050/atm
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Aptisi Transactions on Management (ATM) adalah jurnal ilmiah yang diterbitkan oleh APTISI (Asosiasi Perguruan Tinggi Swasta Indonesia), guna memfasilitasi hasil jurnal ilmiah Civitas Akademika dalam bidang teknologi informasi, komunikasi, dan manajemen dalam menghadapi era digital di Indonesia. ATM terbit tengah tahunan (2 kali dalam setahun, periode Januari dan Juli).
Arjuna Subject : -
Articles 214 Documents
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Decision-Making Techniques using LSTM on Antam Mining Shares before and during the COVID-19 Pandemic in Indonesia Badri, Ahmad Kamal; Heikal, Jerry; Nurjaman, Deden Roni; Terah, Yochebed Anggraini
APTISI Transactions on Management (ATM) Vol 6 No 2 (2022): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i2.1776

Abstract

Stocks, apart from having volatile and chaotic characteristics, also have various kinds of noise, non-linear and non-stationary movements, making them difficult to predict accurately. Therefore, the risk of investing in stocks depends on the skills of investors or traders in making judgments and decisions. This study aims to use Long Short-Term Memory (LSTM) as a decision-making technique with historical stock prices as the sole predictor, then implement it in conditions before and during the COVID-19 pandemic. The study results concluded that Long Short-Term Memory (LSTM) could be used as a decision-making technique in conditions before and during the COVID-19 pandemic with historical price inputs as the sole predictor. Based on the research that has been done, the following conclusions can be drawn: The LSTM model can predict stock prices well using historical stock prices as the sole predictor. The LSTM model can be used as a trading decision-making technique for day traders. The risk of stock prediction using the LSTM method in 2019 before the COVID pandemic was proven to be lower than in 2020 during the COVID pandemic. For further research, researchers can conduct more in-depth research on the risk criteria for making trading decisions as an essential reference that can be used to select the LSTM model.
Poverty Alleviation Strategies Through Sharia Microfinance Institutions Politico-Economics Study With Tawhidi Approach Mariyanti, Tatik; Heriyanto, Raden
APTISI Transactions on Management (ATM) Vol 6 No 2 (2022): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i2.1794

Abstract

 This research aims to formulate a poverty alleviation strategy in Indonesia by empowering Islamic Microfinance Institutions (IMFI) based on political-economic studies. The Indonesian political-economic system is stipulated in Article 33 of the 1945 Constitution and its Explanatory Paragraph, making the people the center of attention for national economic development. The research uses the Analytic Network Process (ANP) method developed by Saaty. The ANP construction uses a model consisting of 3 main clusters, namely Problems, Solutions, and Strategies. The qualitative-quantitative assessment data is determined based on the Saaty Scale obtained through an in-depth interview of 9 expert respondents and practitioners in Islamic economics and finance. The results show that poverty alleviation strategies need to be carried out through cultural and structural approaches. The cultural approach includes revitalizing the concept of the people's economy as stated in the 1945 Constitution, campaigning for using the domestic product,  socialization to increase literacy about waqf and zakat, improving the practices of bureaucratic ethics, and strengthening the values of togetherness and anti-monopoly.  The strategy at structural approach is carried out by implementing policies to enhance the role of cooperatives in the national economy; increasing the education budget for the poor and needy; increased coordination between authorities; bureaucratic reform; and honest and fair law enforcement against corruption. For the micro-level at the LKMS institution, the cultural approach is carried out by strengthening literacy on Islamic financial instruments, increasing financial inclusion programs, social inclusion programs, and strengthening methods for obtaining funding sources from Islamic financial instruments. On the structural side, it is necessary to improve the professionalism and capability of supporting LKMS, institutional strengthening, internal control and supervision system, improvement of supporting infrastructure, and enhancing service convenience.
Determination of shareholders’ welfare with financing quality as a moderating variable Husnadi, Tengku Chandra; Marianti, Tatik; Ramadhan, Tarisya; Husnad, Tengku Chandra
APTISI Transactions on Management (ATM) Vol 6 No 2 (2022): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i2.1799

Abstract

The purpose of this study was to analyze the factors that might affect the shareholder welfare ratio (ROE). These factors include independent variables consisting of financing distribution ratio (FDR), low-cost funds ratio (CASA), net operating margin ratio (NOM), expense-based income ratio (FIR), and Financing Quality ratio (NPF). Furthermore, to determine the relationship of Islamic bank performance indicators on shareholder welfare with the ROE ratio indicator, NPF is a moderate variable. The method used to analyze the holder's welfare ratio (ROE) is moderate regression analysis with the error error model (ECM). The research sample used is the entire research population, namely monthly data from the Islamic banking industry for the period 2012-2020 (consisting of 14 Islamic commercial banks and 20 Islamic business units). The results of this study note that in the long run: FDR has a positive and significant effect on the ROE ratio, the NOM ratio has a negative and significant effect on the ROE ratio. While the variables of CASA ratio, FIR ratio and NPF have no effect on the ROE ratio. Furthermore, the NPF Moderating Variable strengthens the relationship of all direct and significant variables with the Shareholder Welfare Ratio (ROE), namely NPF moderates the negative and significant effect of FDR on the ROE ratio, NPF moderates the positive and significant effect of the ratio. on the ROE ratio. Furthermore, other variables NPF Moderating Casa and FIR have no effect on the ROE ratio. For the short term: FIR has a positive and significant effect on the ROE ratio, the NOM ratio has a negative and significant effect on the ROE ratio. While the FDR ratio, CASA ratio and NPF ratio variables have no effect on the ROE ratio. Furthermore, the NPF variable strengthens the relationship of all variables directly and significantly to the Shareholder Welfare Ratio (ROE), namely NPF moderates the negative and significant effect of FIR on the roe ratio, NPF moderates the positive and significant effect of the ratio. on the ROE ratio. While other variables, moderate NPF, FDR and CASA, have no effect on the ROE ratio. The implication of this study is to measure the welfare of shareholders, in this case the performance of Islamic banks with the ROE ratio approach. Why is the welfare ratio of all shareholders (ROE) important, because in accordance with the existence of Islamic banks it aims to provide benefits (maslahah) for the ummah. Islamic banks in carrying out their mandate have a commitment to be able to provide expectations from shareholders in the company and be able to develop products that are in accordance with the wishes and needs of customers. So from this study it can be said that of the 5 variables that affect the price. financing distribution ratio (FDR), low cost funds ratio (CASA), net operating margin ratio (NOM), cost-based income ratio (FIR) and Financing Quality ratio (NPF).
Analysis of Lifestyle and Consumer Attitude Towards Intention to Purchase a Personal Car During Pandemic Pandjaitan, Nurmala K; Hasanah, Nur; Cesna, Galih Putra; MARINA, DIANA
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1806

Abstract

 The COVID-19 pandemic is a new virus that allegedly originated in Wuhan, China, in 2019. This COVID-19 has spread rapidly, disrupting all sectors of life in various countries. The Covid-19 pandemic also impacted Indonesia's economic decline in 2020 and triggered the acceleration of the world recession. The policy of Large-Scale Social Restrictions (PSBB) and regional quarantine significantly impacted the delay in the distribution of goods, which resulted in employee housing and even layoffs. The fear of contracting COVID-19 triggers the intensity of the use of private vehicles as well as the intention to own a car. Lifestyle changes in traveling, especially the choice of the private car, are also influenced by the primary destination and distance traveled during the pandemic. But the economic pressure of the impact of the pandemic has become a substantial perception control that holds back the realization of intention to make a personal vehicle purchase decision. Although there has been an increase in the frequency of private vehicle use during the pandemic, in reality, the increase has not impacted private car sales. This is caused by the purchasing power of consumers, who are still hampered because of the pandemic. The government itself is aware that the automotive industry is an industry that has a significant contribution to 20 percent of the national Gross Domestic Product (GDP) and absorbs 1.5 million workers. This prompted the government to issue a stimulus in the form of policy relaxation to boost the productivity of the auto industry.
Factors That Influence The Intention of The Millennial Community to do Waqf With a Modification of Theory Planned Behavior Approach Mariyanti, Tatik; Sari, Siti Nurindah; Zawawi, Abdullah Achmad
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1807

Abstract

This research aims to analyze the influence of variables knowledge, attitudes, religious commitment, subjective norm, and the use of ICT Technology significantly influence behavior through the intention of the millennial generation in waqf in Jabodetabek. The methodology used in this study is the Structural Equation Model with the variables of knowledge, attitudes, religious commitment, subjective norms, and ICT technology as independent variables; intention as moderating variable, and waqf behavior as the dependent variable. The primary data of this study was obtained through a questionnaire survey to 290 respondents obtained through purposive random sampling from the millennial generation aged 21-40 years who live in Greater Jakarta. Then the data was analyzed using SPSS and AMOS software. Based on the results of this study, it was learned that the variable of knowledge does not affect the behavior of waqf through the intention of the millennial generation. In contrast, the variables of attitude, commitment, subjective norms, and the use of ICT technology had a positive and significant effect on waqf behavior through the intention of the millennial generation. This shows that the millennial generation, although their knowledge does not affect behavior, attitudes, commitment, subjective norms, and the use of ICT technology, have a positive and significant effect on waqf behavior results of this study indicate that the variables attitudes, religious commitment, subjective norm, and the use of ICT Technology significantly influence behavior through the intention of the millennial generation in waqf in Jabodetabek. At the same time, knowledge does not affect that behavior. This study implies that measuring consumer behavior should be equipped with additional indicators, namely intention, to analyze the behavior based on external factors and spiritual and social aspects.
Muslim Consumers' Preferences on Interest in Buying Halal Food and Beverage Products with moderating variables of gender and education in DKI Jakarta Basri, Yuswar Zainul; Arafah, Willy; Firdayetti
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1817

Abstract

The purpose of this study was to analyze the preferences of Muslim consumers towards buying interest in Halal Food and Beverage Products in DKI Jakarta. The independent variables are Price, Islamic Brand, Product Knowledge and Religious Knowledge with the dependent variable being Product Halal Intention with the variable gender and education moeration.  Methodology used is quantitative with SEM AMOS analysis tool, the population is DKI Jakarta society, with 225 respondents aged 17 years and over who are Muslims as consumers of halal food and beverages as the sample. with the intent of the research. The results of the study directly have two variables that affect the halal intention of the product (product knowledge and religious knowledge on the halal intention of the product) and the second variable has no effect on the halal intention of the product (price and Islamic brand on the halal intention of the product). If using the moderating variables of gender and education, the four independent variables (price, Islamic brand, product knowledge and religious knowledge) have an effect on product halal intentions. The theoretical conclusion is that only 2 out of 4 variables congruent with the theory and the two are not congruent with the theory Administrative influences are applied based on consumer preferences as follows: Religious knowledge of prices, Islamic brands, product knowledge and  halal products Intent when there are modulating variables.
Financial Management of Indonesian Hajj Against the Yield by Using a Dynamics System Model Mariyanti, Tatik; Jayaprawira, Acep R; Terah, Yochebed Anggraini; Pujiharto, Yaya Ruhenda Casmita
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1818

Abstract

This research aims to analyze the financial management of Indonesian hajj on yield using a dynamic system model and determine and simulate the return obtained with the expenditure so that the hajj funds remain safe. In addition, the purpose of this research is to provide input on policy strategies to the BPKH in increasing hajj financial yields. The method used in this research is dynamic systems modeling. The resulting model structure formulation is illustrated by a causal loop diagram and a stock-flow diagram. The results obtained were then simulated, and model validation was carried out using AME and AVE. Operational data used in this study uses time-series data. This study's population or several samples are annual historical data during the research period.  In modeling the dynamic system of hajj financial management on yield, it is divided into 2 (two) sub-models, namely the economic sub-model and the social sub-model. Meanwhile, to find out and simulate the yield obtained with the yield expenditure, 3 (three) scenarios were made, namely the existing, moderate, and optimistic scenarios. From the simulation results, it can be seen that making changes to portfolio policies with an optimistic scheme in the form of placements in Islamic Banks with a maximum of 20% and 80% investment and increasing the initial deposits of pilgrims from IDR 25 million to IDR 30 million in 2022 is a government policy intervention that produces optimal yield.
AI and Nanotechnology for Healthcare: A survey Rawat, Bhupesh; Bist, Ankur Singh; Supriyanti, Dedeh; Elmanda, Vonda; Sari, Siti Nurindah
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1819

Abstract

AI is today's wave of technology, and it caters to various problems. One of them is Nanotechnology. Nanotechnology is another thread of technology. The use of nanotechnology is well known, including in the health sector, cosmetic industry, and agriculture. The role of AI in healthcare is broad, from detecting lung disease to skin analysis. This study aims to explore healthcare possibilities by integrating AI and nanotechnology. The method of applying nanotechnology in the health sector uses a Nanomedicine Microscope. Nanomedicine is the medical application of nanotechnology used to diagnose, monitor, and control biological systems. Therefore, the author uses the Nanomedicine Microscope as the object in this study because the wonders of nanotechnology in various operations are also well established. The novelty in this paper focuses on AI and Nanotechnology together as possibilities for healthcare. AI and nanotechnology are two critical technologies. The ultimate goal is to integrate the uses and possibilities of these two technologies and do wonders in the healthcare domain. This study will benefit those working in AI and medicine. Nanotechnology integrating AI technology into the medical industry enables many conveniences, including task automation and analyzing large amounts of patient data for better, faster, and more affordable healthcare.
Determinant of Interest in Paying Zakat with Age as a Moderating Variable (Study on Minang Society) Basri, Yuswar Zainul; Arafah, Willy; Harmaini
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1821

Abstract

This study wants to test whether there is an influence between Zakat Knowledge, Religiosity, Culture, Subjective Norms, and Income on Muzaki Minang's zakat interest in paying zakat, with age as a moderating variable. The purpose of this study will be to analyze and describe the effect of Muzaki Minang's interest in tithing by using a theoretical model. The data collection technique used a questionnaire and sampling was done by purposive sampling with a total of 320 respondents. The population in this study is the Muzaki Minang population who live in West Sumatra and outside West Sumatra. The data analysis technique used is descriptive statistical analysis. The results of this study are the knowledge of zakat and culture variables do not affect Muzaki's interest in zakat. While the interest in paying zakat which has a significant and positive effect is religiosity, subjective norms, and income. There is a moderate relationship between income and age with interest in paying zakat. The dominant age factor is early adulthood (20-40 years) compared to old age (>40 years). The findings of this study are helpful input for the leaders of the indigenous people of West Sumatra in strengthening the understanding of the younger generation about Minang customs. With the increasing understanding of adat for the Minang community, they are interested in paying zakat themselves and using zakat as a tool to improve people's welfare.
AI Based Assistance To Reduce Suicidal Tendency Among Youngsters Rawat, Bhupesh; Bist, Ankur Singh; Mulyati; Fakhrezzy, Muhammad; Octavyra, Regina Dinda
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1829

Abstract

Suicidal tendency among youngsters is one of emerging issue in society.This not only results in loss of life but also has disruptive psychosocial and adverse socio-economic effects. It accounts for 1.4% of all deaths. It is also reported that men die more than women. If we look at male to female ratio regarding suicide death, then it is 1.5 to 1 and is highest in richest countries. Each year, approximately 800,000 people die by suicide worldwide. Fast life style, academic pressure, relationships, drug addiction etc, are major causes of this. This is exacerbated by the presence of new factors that arise as a result of the COVID-19 outbreak, which puts new pressures on society, which of course worsens the mental condition of today's society.Governments and NGOs are highly concerned about it. In this paper, we are concerned about the role of technology to prevent it. We will discuss how artificial intelligence can help in keeping the wellbeing of the mental state of human beings. Our focus would be on use of artificial intelligence in predicting and preventing suicide attempt. We will share our perspective on how other techniques excluding AI can help to alleviate this menace.AI based applications are playing a vital role to assist mental health. Our purpose is to study the role of AI in mental health.

Page 13 of 22 | Total Record : 214

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