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All Journal Jurnal Informasi dan Teknologi Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Sinergi International Journal of Economics West Science Interdisciplinary Studies Novatio : Journal of Management Technology and Innovation Logistica : Journal of Logistic and Transportation
Sekianti, Atik
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Transportation Other

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Effect of Inflation, Rupiah Exchange, Dow Jones Index, Nasdaq Index, and S & P500 Index Against Combined Stock Price Index Manap, Abdul; Sugito, Sugito; Yusnindar, Yusnindar; Sekianti, Atik
West Science Interdisciplinary Studies Vol. 2 No. 03 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i03.767

Abstract

This research aims to determine empirical evidence of the influence of inflation, Rupiah exchange rate, Dow Jones index, Nasdaq index, A & P500 index on the Composite Stock Price Index. The research uses quantitative methods and uses classical assumption tests, multiple regression analysis, and hypothesis testing. The data used is secondary data during the period January 2019 – November 2023, resulting in a total of 59 samples from each variable using the purposive sampling method. The research results show that inflation has an effect on the Composite Stock Price Index, the Rupiah exchange rate has no effect on the Composite Stock Price Index, the Dow Jones Index has an effect on the Stock Price Index Combined, the Nasdaq Index influences the Composite Stock Price Index, the S & P500 Index influences the Composite Stock Price Index, and Inflation, the Rupiah Exchange Rate, the Dow Jones Index, the Nasdaq Index, and the S & P500 Index simultaneously influence the Composite Stock Price Index.
WORKSHOP INOVASI PROGRAM PEMASARAN DAN SOCIAL PRENEUR ERA DIGITAL SOCIETY 5.0 Manap, Abdul; Hawari, Yusmita; Ginting, Riah Ukur Br; Saepullah, Asep; Sekianti, Atik; Sasmiyati, Rini Yulia; Edy, Norman; Pujadi, Arko; Buana, Lilik Swarnata Angga; Pujiningsih, Diana
Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Vol. 2 No. 2 (2023): Ekalaya Journal
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/eka.v2i2.49

Abstract

This community service aims to provide training and assistance in terms of making promotional facilities on social media for MSMEs in Ciledug District, Tangerang Regency. The chosen social media is Instagram, because for WhatsApp, on average, the trainees have already promoted there, so Instagram is an additional promotional media for them. There were 70 participants consisting of students and colleges with various businesses. They are very enthusiastic about participating in the training, because they are guided from the beginning of making Instagram and the others social media to uploading their products
Analysis of E-Commerce User Acceptance of Technology-Based Loan Application Features Using The UTAUT Model K. Pramudito, Dendy; Rudin; Br Ginting, Riah Ukur; Sekianti, Atik; Sepria Baresi, Irfan
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i3.390

Abstract

The purpose of this study was to obtain and determine the variables that influence the interest of pay later loan users in DKI Jakarta using the modified UTAUT 2 model by adding one perceived security variable. This study used a quantitative method by distributing questionnaires online to 163 pay later users. Using the PLS-SEM analysis approach with SmartPLS 3.3, of the 11 hypotheses tested, five had a significant effect, and six had no significant effect. The relationship path that has the greatest influence is behavioral intention and use behavior, while the path that has the least influence is social influence on use behavior. The results of this study provide recommendations on performance extension by increasing the performance of the pay later feature. Effort expectancy by making it easy to activate the pay later and providing limit adjustments. Social influence creates attractive ads and expands paid information. Hedonic motivation by improving the appearance of a more attractive user interface and increasing the use of the system with user experience. Price value by providing low interest and appropriate limits. Habit by following the recommendations of all variables as a reference for future improvement steps. Facilitating conditions pay later cooperates with other merchants as a payment option to expand the network. Perceived security by implementing fingerprint locks and enhancing user information security and privacy. Behavioral intention follows all recommendations on the factors that influence intention. and use behavior following the recommendations on the factors that influence the intensity level of the user's use of the pay later.
Tax Revenue and Economic Growth in Developing Countries: A Narrative Synthesis of Empirical Evidence Sekianti, Atik; Nuraini, Fariha
Sinergi International Journal of Economics Vol. 3 No. 1 (2025): February 2025
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/economics.v3i1.643

Abstract

This study explores the intricate relationship between tax revenue and economic growth in developing countries, aiming to evaluate how various tax structures influence economic outcomes. Employing a narrative review methodology, literature was sourced from databases such as Scopus and Google Scholar using a targeted set of keywords. Inclusion criteria focused on peer-reviewed empirical studies from the last two decades examining taxation, fiscal policy, and growth. Findings reveal that oil tax revenues can bolster short-term fiscal capacity but often introduce volatility tied to global price fluctuations. In contrast, non-oil taxes provide a more stable basis for sustained economic development. The review identifies a long-term correlation between tax revenue volatility and GDP instability, highlighting the critical role of institutional quality and administrative efficiency. Comparative studies show that G7 countries benefit from structured fiscal systems, while many developing countries struggle with inefficiencies, non-compliance, and narrow tax bases. Discussion points emphasize systemic barriers such as weak governance, informal economies, and low tax morale. Recommended reforms include administrative modernization, digitalization, and expanding the tax net to the informal sector. Ultimately, the study underscores that tax policy effectiveness hinges on contextual alignment with institutional capacities and socio-economic realities. Future research should address micro-level behaviors and long-term effects of taxation to enhance fiscal policy design.
The Role of Internet of Things in Smart Business Decision-Making: A Narrative Review Liantifa, Melifia; Hendra; Sekianti, Atik
Novatio : Journal of Management Technology and Innovation Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v3i2.1024

Abstract

The Internet of Things (IoT) has emerged as a critical driver of smart business decision-making, enabling organizations to enhance efficiency, transparency, and responsiveness across industries. This narrative review examines the integration of IoT into business systems, focusing on its contributions to Enterprise Resource Planning (ERP), marketing strategies, sustainability leadership, smart environments, and sector-specific applications in agriculture, education, and healthcare. Literature was systematically collected from Scopus, Web of Science, and Google Scholar, using targeted keywords and Boolean operators. Inclusion criteria prioritized peer-reviewed studies that examined IoT in relation to business decision-making, resulting in a dataset of empirical and conceptual research published between 2018 and 2024. Findings reveal that IoT enhances decision-making accuracy through ERP integration, strengthens marketing strategies by enabling real-time consumer insights, and supports sustainability leadership by advancing Environmental, Social, and Governance (ESG) practices. In addition, IoT facilitates the development of smart environments that leverage big data and artificial intelligence for predictive analytics. Sectoral evidence confirms IoT’s effectiveness in improving agricultural productivity, optimizing educational management, and enabling remote healthcare monitoring. Nonetheless, critical systemic challenges persist, particularly cybersecurity threats such as data breaches, lack of common interoperability standards across IoT platforms, and infrastructural readiness gaps in regions with limited digital capacity. These barriers highlight the need for supportive policies, investment in digital infrastructure, and organizational cultures receptive to technological change. Future research should focus on empirical validation of IoT’s impact on managerial decision quality and explore cross-sectoral comparisons to enrich theoretical and practical understanding. By addressing these challenges, IoT can fulfill its promise as a transformative enabler of sustainable and innovative business strategies.
Electoral Logistics Challenges and Adaptive Strategies in Archipelagic Regions: Evidence from the 2024 Election in Banggai Kepulauan Regency Sekianti, Atik; Sucipto, Yuwono Dwisilo
Logistica : Journal of Logistic and Transportation Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i2.674

Abstract

This study investigates the challenges and adaptive strategies of electoral logistics during the 2024 general election in Banggai Kepulauan Regency, an archipelagic region in Central Sulawesi, Indonesia. Using a qualitative case study approach, data were collected through in-depth interviews with 25 key informants, field observations, and document analysis. The findings reveal five major obstacles: geographic fragmentation, lack of dedicated fleets and trained personnel, weak institutional coordination, limited use of SiLogistik due to connectivity problems, and security concerns in remote areas. To address these, local election bodies adopted early delivery, community-led monitoring, and informal storage mechanisms, demonstrating the critical role of grassroots engagement. These findings highlight a unique hybrid model that integrates manual and digital tools, central planning with local execution, and formal institutions with informal community networks. Theoretically, the study contributes to debates on adaptive governance and logistics resilience in fragmented geographies, while practically it provides policy insights for Indonesia’s KPU and electoral stakeholders to strengthen future logistics in island regions
Co-Authors Asep Saepullah, Asep Br Ginting, Riah Ukur Buana, Lilik Swarnata Angga Dendy K. Pramudito Edy, Norman Ginting, Riah Ukur Br Hawari, Yusmita Hendra Liantifa, Melifia Manap, Abdul Nuraini, Fariha Pujadi, Arko Pujiningsih, Diana Rudin Sasmiyati, Rini Yulia Sepria Baresi, Irfan Sucipto, Yuwono Dwisilo Sugito - Yusnindar, Yusnindar