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RUBINSTEIN
Published by Universitas Buddhi Dharma
ISSN : 29854520     EISSN : 29854512     DOI : -
Core Subject : Economy, Education, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other
RUBINSTEIN juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora adalah jurnal yang menerbitkan artikel penelitian yang meliputi bidang ilmu multidisiplin, yang mencangkup Bisnis, Sains & Teknologi dan Sosial & Humaniora. Jurnal RUBINSTEIN menerima manuskrip atau naskah artikel dalam bidang riset, mencakup: Ekonomi publik Ekonomi industri Ekonomi intemasional Manajemen bisnis Manajemen keuangan Manajemen pemasaran Manajemen sumber daya manusia Administrasi niaga Akuntansi keuangan Perpajakan Pemeriksaan akuntansi Akuntansi manajemen Hukum Sosial Datamining Cloud computing Robotics and sensor Expert system IoT Decision support system Bussiness intelegent Linguistics Literature Culture studies with english requirements
Arjuna Subject : Umum - Umum
Articles 42 Documents
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Analisis Bibliometrik: Perilaku Konsumen Generasi Y (Milenial) dan Generasi Z (Zoomer) Tri Angreni; Vivin Hanitha; Hendra; Yunia Oktari; Rini Novianti
RUBINSTEIN Vol. 3 No. 1 (2024): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v3i1.3582

Abstract

Penelitian ini bertujuan untuk menganalisis perilaku konsumen Generasi Y (Milenial) dan Generasi Z (Zoomer) melalui pendekatan bibliometrik. Dengan menganalisis literatur yang diterbitkan antara 2019 hingga 2023, penelitian ini menggali tren, pola, dan kesenjangan dalam penelitian terkait kedua generasi tersebut. Analisis dilakukan dengan menggunakan alat bibliometrik untuk mengidentifikasi kata kunci, topik utama, dan hubungan antara konsep-konsep yang ada dalam literatur. Hasil analisis menunjukkan adanya perubahan fokus dalam penelitian, dimulai dengan penekanan pada analisis dan model data hingga 2022, yang kemudian beralih ke perilaku pelanggan pada tahun 2023. Berdasarkan data yang dianalisis, terdapat lima kesenjangan penelitian yang dapat dijadikan fokus untuk studi mendatang, yaitu penggunaan analisis data untuk meningkatkan pengalaman pelanggan, penerapan pembelajaran mesin dalam pemasaran digital, dampak media sosial terhadap kepuasan dan loyalitas pelanggan, serta pengelolaan data dalam industri retail dan perilaku konsumen terhadap produk berkelanjutan. Penelitian ini juga menunjukkan bagaimana topik-topik seperti kepuasan pelanggan, perilaku konsumen, dan pengaruh teknologi canggih seperti media sosial dan algoritma semakin mendominasi literatur. Dengan demikian, hasil penelitian ini memberikan wawasan penting tentang arah penelitian perilaku konsumen di masa depan dan menunjukkan pentingnya pemahaman lebih mendalam tentang dinamika yang mempengaruhi keputusan pembelian kedua generasi ini. Penelitian lanjutan yang berfokus pada kesenjangan-kesenjangan ini akan memberikan kontribusi signifikan bagi teori dan praktik dalam bidang pemasaran dan perilaku konsumen.
Potensi dan Tantangan Reksa Dana Syariah di Indonesia dalam Menghadapi Perubahan Ekonomi Global Mukhlisotul Jannah; Fany Cahyaningsih; Ramanda Setiawan; Abi Fauzy, Muhammad
RUBINSTEIN Vol. 3 No. 2 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v3i2.3457

Abstract

The Islamic Capital Market in Indonesia has shown significant development since its introduction in 2000, marked by the launch of the first Islamic mutual fund product. This study aims to analyze the development of the Islamic capital market, particularly in the context of Islamic mutual funds in Indonesia, as well as the challenges and opportunities faced during its growth. The method used in this research is a literature review, examining various academic sources and reports related to the Islamic capital market in Indonesia. The findings indicate that although Indonesia’s Islamic mutual fund market remains relatively small compared to countries like Malaysia, there has been a growing public interest in Sharia-compliant investments, especially among the younger generation. Additionally, related sectors such as Islamic banking and halal technology have contributed to the growth of this market. Nevertheless, the market still faces several challenges, including high volatility and risks associated with global economic instability, as evidenced during the Covid-19 pandemic. The conclusion of this study is that Indonesia's Islamic mutual fund market holds great potential for further development. However, it requires product innovation and policy advancement to improve its international competitiveness, while ensuring compliance with fair and sustainable Sharia principles.
Pengaruh Profitabilitas, Modal, Dan Likuiditas Terhadap Discretionary Financing Loss Provisions Dengan Bank Size Sebagai Variabel Moderasi (Studi Pada Perbankan Syariah Di Indonesia 2016-2020) Ihsan, Muhammad Fikri; Arif, Muhammad; Syahbudi, Muhammad
RUBINSTEIN Vol. 3 No. 2 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v3i2.3569

Abstract

This study analyzes the effect of profitability, capital, and liquidity on Discretionary Financing Loss Provisions (DFLP) with bank size as a moderating variable in Islamic banks in Indonesia from 2016 to 2020. Using a quantitative method and moderating regression analysis with SPSS, the results show that profitability, capital, and liquidity have a positive and significant effect on DFLP. Bank size does not moderate the effect of profitability on DFLP but can moderate the effect of capital and liquidity on DFLP. The F test indicates that all independent variables have a significant simultaneous effect on DFLP, as evidenced by the Fvalue (5.169) being greater than the Ftable value (2.54) and the significance value of 0.001 < 0.05. The coefficient of determination test shows that the R² value in model 1 is 0.273, and in model 2, it is 0.561. This indicates that the R² value in model 1 is smaller than in model 2, proving that adding moderation has a weak influence.
Forecasting Tourism Demand: A Bibliometric Review of Trends, Methodologies, and Big Data Integration (2015-2024) Aryadewa Satyagraha; Yusuf Kurnia
RUBINSTEIN Vol. 3 No. 2 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v3i2.3783

Abstract

This study aims to provide a bibliometric review of trends, methodologies, and the integration of big data in Tourism Demand forecasting from 2015 to 2024. Bibliometric analysis is conducted to map the development of literature focusing on the latest techniques in Tourism Demand forecasting, with an emphasis on the application of big data and Artificial Intelligence technologies, particularly deep learning models based on CNN and LSTM. Data cleaning was performed using OpenRefine, while keyword clustering and visualization were carried out with VOSviewer to identify key trends in this research. The analysis shows a significant surge in publications related to deep learning and big data since 2018, peaking in 2020. Deep learning models, such as CNN and LSTM, have begun to dominate Tourism Demand forecasting research due to their ability to handle non-linear patterns that traditional models cannot address. Additionally, the increased use of real-time data, such as "Google Trends" and "social media," reflects a shift towards utilizing big data in Tourism Demand forecasting. These findings provide valuable insights for practitioners and policymakers to plan policies and allocate resources in the dynamic tourism sector by integrating advanced technologies.
Designing a Real-Time Fuel Consumption Monitoring Dashboard for Ships Andre Sahulata; Aditiya Hermawan
RUBINSTEIN Vol. 3 No. 2 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v3i2.3784

Abstract

Fuel usage on ships is a crucial aspect of maritime operations, affecting cost efficiency and sustainability. A calculation carried out by the operational team is required in order to obtain information about the ship's fuel usage. However, the method of calculating fuel usage that is still manual by sounding is still prone to calculation errors and inefficient. Therefore, a system is needed that can assist the operational team in calculating and obtaining fuel usage data quickly and efficiently. This research aims to design a dashboard monitoring system that can monitor ship fuel usage in real-time. Real-time monitoring is important for quick identification of inefficiencies, ensuring safety, and supporting timely decision making. This system can assist the operational team in obtaining data and information on fuel usage more quickly and accurately. The methodology used in this research includes analyzing system requirements, designing system architecture, and implementing dashboard monitoring software. The result of this research is a dashboard system that is able to provide real-time information about fuel usage, making it easier for the operational team to monitor and make decisions. With this system, the efficiency of fuel usage can be increased and the pros of fuel usage can be improved.
Hybrid Renewable Energy System Design for Rural Areas in Western China Yuan Xian; Jin Xiu
RUBINSTEIN Vol. 3 No. 2 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v3i2.3820

Abstract

This study aims to design and evaluate a hybrid renewable energy system for rural areas in Western China. The region, comprising provinces like Gansu, Ningxia, Qinghai, and Xinjiang, faces limited access to modern energy infrastructure, with many areas still relying on coal-based power generation. The potential for renewable energy is substantial, with abundant solar, wind, and hydro resources. The main objective of this research was to develop a hybrid system that integrates solar, wind, and hydro power to create a reliable and sustainable energy supply while reducing reliance on fossil fuels and lowering greenhouse gas emissions. Using a combination of Experimental Design and Simulation Methods, we developed several scenarios incorporating various renewable energy sources and battery storage systems. These systems were tested in representative rural areas, considering local weather conditions and energy resource availability. The findings show that the hybrid system can efficiently meet energy demands, with system efficiencies reaching up to 92%, reducing energy costs and contributing significantly to CO2 emission reductions. Economically, the initial investment for these systems is high, but operational costs are low compared to conventional coal-based generation. The payback period is estimated at 6-8 years, making it a feasible long term investment. Environmental impact analysis demonstrates a potential 70% reduction in CO2 emissions compared to fossil fuel based power generation. The study concludes with several policy recommendations, including fiscal incentives to reduce initial investment costs, development of energy distribution infrastructure, and the implementation of training programs for local communities to manage and maintain renewable energy systems. These measures are essential to support the widespread adoption of hybrid renewable energy systems in rural areas of Western China and can serve as a model for other developing countries facing similar challenges.
Representasi Gender dalam Laporan Tahunan Perusahaan Meliputi: Bukti dari Perusahaan LQ45 di Indonesia Ummami, Latifa; Chandra Fitra Arifianto
RUBINSTEIN Vol. 4 No. 1 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v4i1.4020

Abstract

  This study aims to analyze gender representation on the covers of annual reports of companies listed in the LQ45 on the Indonesia Stock Exchange. Annual report covers are understood not merely as visual identities but also as organizational communication media rich in symbolic meaning, reflecting the company's values, culture, and commitment to diversity. The method used is descriptive qualitative with visual content analysis of 45 annual report covers selected through purposive sampling. Human elements are divided into six groups: individual men, men with men, individual women, women with women, women with men, and non-human illustrations, which are then calculated for frequency and analyzed using gender equality and organizational communication theories. The results show that men are more dominantly represented, both individually and in pairs with other men (31%), while not a single cover features women as a single figure. Representations of women appear more frequently alongside men (40%) and only 2.2% within the female group, while 26.6% of covers feature non-human illustrations. Men's positions tend to be depicted as symbols of authority and leadership, while women are positioned as supporting figures. These findings indicate a symbolic invisibility of women in corporate communications, in line with Role Congruity Theory and global research on gender bias. This reflects the persistence of patriarchal structures in Indonesian corporate culture and highlights the gap between diversity policies and symbolic representation. Practically, the absence of balanced gender representation in visual communications has the potential to undermine a company's legitimacy in the eyes of global stakeholders and diminish its contribution to the principles of equality and sustainability.
Efektivitas Pemberdayaan UMKM Melalui Pendampingan Komunitas untuk Pengembangan Industri Kreatif Budaya Tionghoa sebagai Destinasi Wisata Kota Tangerang Aprilyanti, Rina; Lianah; Etty Herijawati
RUBINSTEIN Vol. 4 No. 1 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v4i1.4030

Abstract

This study aims to identify the influence of Business Assistance, Cultural Product Innovation, and Community Engagement on the Sustainability of Chinese culture based MSMEs in Tangerang City, with Tourism Attractiveness as a mediating variable. Tangerang City has significant potential to develop creative products rooted in Chinese culture; however, many MSMEs face challenges such as limited managerial capacity, product innovation, and community involvement in promoting cultural tourism. The study employs a quantitative approach using Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) method to test the relationships among variables. Data were collected through a survey of 200 Chinese culture–based creative MSME actors selected via purposive sampling. The findings reveal that Business Assistance, Cultural Product Innovation, and Community Engagement exert a positive and significant effect on MSME Sustainability, with contributions of 21.5%, 19.8%, and 23.0%, respectively. Moreover, Tourism Attractiveness was found to partially mediate these relationships, further strengthening their positive impact on MSME sustainability. These results carry important practical and policy implications. First, the findings may serve as a foundation for local governments to design integrated MSME empowerment programs through business training, product innovation, and community collaboration. Second, the study provides a basis for developing culture based MSME assistance practices that not only enhance business capacity but also reinforce local cultural identity to expand tourism attractiveness. Thus, this research makes a direct contribution to public policy and culture based MSME empowerment strategies, with the potential to improve local economic competitiveness while preserving cultural heritage in Tangerang City.
Web-Based Car Sales Prediction System Using the ARIMA (Autoregressive Integrated Moving Average) Model for Optimizing Automotive Marketing Strategies Kurnia, Yusuf; Yakub; Rudy Arijanto; Winson Layanda; Dwi Putra, Dicky Surya
RUBINSTEIN Vol. 4 No. 1 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v4i1.4039

Abstract

This study aims to develop a web-based car sales prediction system using the ARIMA (Autoregressive Integrated Moving Average) model to support the optimization of marketing strategies in the automotive sector. With the rapid growth of the automotive industry in Indonesia, companies, particularly car showrooms, face the challenge of accurately forecasting vehicle demand. Therefore, an ARIMA-based prediction system can assist in estimating future sales based on historical data, thereby improving stock management, distribution, and marketing strategies. The system was developed using five years of historical sales data and implemented the ARIMA model to forecast car sales for upcoming periods. It was built with the Python programming language, employing Flask for the backend and HTML, CSS, and JavaScript for the frontend. The prediction results are presented in the form of interactive graphs, enabling users to make data-driven decisions more effectively. System evaluation was carried out by measuring prediction accuracy using MAPE (Mean Absolute Percentage Error) and RMSE (Root Mean Square Error) metrics. The testing results indicate that the ARIMA model can generate predictions with a high level of accuracy, assisting showrooms in planning stock and promotional activities more efficiently. Furthermore, the system is equipped with a responsive user interface, making it easily accessible via mobile devices. This research contributes to the utilization of technology in sales planning, particularly in the automotive sector, by enabling more precise, efficient, and data-driven decision-making.
Pengaruh Streamer Attractiveness, Content Marketing, dan Hedonic Shopping Motive terhadap Impulsive Buying dengan Utilitarian Value sebagai Pemoderasi Lunardi, Lidya; Alexander; Tambun, Sihar
RUBINSTEIN Vol. 4 No. 1 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v4i1.4040

Abstract

This study investigates the impact of streamer attractiveness (SA), content marketing (CM), hedonic shopping motive (HSM), and utilitarian value (UV) on impulsive buying (IB) in the context of Indonesian e-commerce live streaming. It also examines how UV moderates the relationships between these factors and IB. A quantitative approach was adopted, using purposive sampling of 209 respondents who had previously participated in live shopping broadcasts. Data analysis was performed with Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that SA, CM, HSM, and UV all have a significant positive effect on IB, with HSM identified as the most dominant factor influencing impulsivity. Furthermore, UV moderates the relationship between SA and IB, but does not significantly enhance the effect of CM or HSM on IB. These results suggest that emotional drivers such as enjoyment and attractiveness are key catalysts for impulsive purchasing behavior. However, functional product value still plays a strategic role in driving purchase decisions. The study emphasizes the need for a balanced approach in content strategy, combining both emotional appeal and functional information to maximize consumer engagement and conversion. Marketers are encouraged to integrate hedonic (emotional) and utilitarian (practical) elements in their offerings to foster impulsive buying behavior. Additionally, future research should explore longitudinal and qualitative methods to capture the evolving nature of impulsive buying behavior, as well as the deeper psychological mechanisms driving consumer decisions in live commerce environments. Such research will help further uncover the dynamics of consumer decision-making in online shopping and improve understanding of the broader implications for e-commerce strategies.

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