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Journal : Journal of Applied Science, Engineering, Technology, and Education

Advances in Data-Driven Marketing Technologies: A Bibliometric Analysis of Indonesian Research Trends Yuaniko Paramitra; Syamsu Rijal; Guellica Agnesia Claudia Thanos; Toong Hai Sam; Intan Nurrachmi; Darwis Robinson Manalu; Rahim, Robbi
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3811

Abstract

Indonesia, the largest economy in Southeast Asia, has experienced an increase in need for innovative, data-driven marketing research given its fast economic expansion. Business strategy and decision making depend on this study as it let companies adjust to the specificities of local markets affected by socioeconomic, technological, and demographic variables. This study aims to assess the direction and breadth of the research as well as identify any knowledge gaps or underutilized studies in the field of marketing, especially in Indonesia. Bibliometrics is the technique utilized by means of data analysis drawn from the Scopus database in January 2024. Ratih Hurriyati of the Indonesian Education University, with 11 publications to her credit and 209 citations to her works, is the most active writer in this area. The results show the key trends in Indonesian marketing research. Apart from that, the "International Journal of Data and Network Science" is the most often published journal source with 36 papers altogether. Particularly in relation to the use of digital technology to improve consumer satisfaction and promote loyalty in innovative markets, these findings provide new ideas for policy development and more research. Marketing research done in Indonesia has a huge possibility to considerably add to the literature in the globe when one considers both local and global dynamics.
Cryptocurrency Risk Management through Decision Engineering: Evaluating XRPUSD and ADAUSD Portfolio Performance Litamahuputty, Jacomina Vonny; Amiruddin, Erwin Gatot; Rahim, Robbi; Rahman, Abdul; Mamadiyarov, Zokir
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3871

Abstract

This research examines the risk profiles of XRPUSD and ADAUSD cryptocurrencies through Value at Risk (VaR) analysis with Monte Carlo simulation, providing quantitative risk assessments for both individual assets and a diversified portfolio. Analyzing historical price data from January 2016 to November 2024, the study identifies distinctive risk characteristics between these cryptocurrencies: ADAUSD exhibited marginally higher historical returns (1.44% monthly) compared to XRPUSD (1.42%), but with notably higher volatility (standard deviation of 5.41% versus 4.65%). The Monte Carlo simulation with 1,000 iterations generated VaR estimates at multiple confidence levels, revealing that XRPUSD consistently demonstrated lower downside risk than ADAUSD across all confidence thresholds. At the 99% confidence level, ADAUSD showed a Mean VaR of -10.97%, indicating potential monthly losses exceeding $10.97 million on a hypothetical $100 million investment, while XRPUSD's lower Mean VaR of -9.52% translated to potential losses of approximately $9.52 million. The most striking finding emerged from the portfolio analysis, which revealed dramatic risk reduction through diversification—the equally-weighted portfolio achieved a Mean VaR of merely -2.22% at the 99% confidence level, representing an approximately 80% reduction in potential losses compared to ADAUSD alone. These results demonstrate that cryptocurrency diversification can substantially mitigate extreme downside risk while maintaining exposure to the digital asset class. The significant risk reduction achieved through a simple two-asset allocation validates the application of modern portfolio theory principles to cryptocurrency investments despite their unique characteristics and underscores the critical importance of diversified approaches rather than concentrated positions for risk-conscious cryptocurrency investors. This research contributes to both theoretical understanding of cryptocurrency risk dynamics and practical portfolio construction approaches, providing quantitative evidence for the value of diversification strategies in navigating the substantial volatility inherent in digital asset markets.
Computational Risk Management for Strategic Investors: An Engineering-Inspired Approach to Portfolio Diversification Hasan, Nonce; Rahim, Robbi; Sapinah, Sapinah; Pramono, Susatyo Adhi; Abroza, Ahmad
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3904

Abstract

This study presents an engineering-inspired approach to computational risk management, focusing on portfolio diversification strategies for strategic investors. Utilizing Monte Carlo simulation techniques, we assess the Value at Risk (VaR) of two prominent companies in Indonesia’s entertainment sector: MD Pictures Tbk (FILM) and MNC Studios International Tbk (MSIN). Daily return data from January 2022 to December 2022 are analyzed to evaluate both individual and combined risk-return profiles. The results show distinct characteristics between the two stocks, with FILM exhibiting a higher average daily return (0.42%) but greater volatility (standard deviation of 4.01%), compared to MSIN's more moderate return (0.33%) and lower volatility (3.64%). At a 95% confidence level, VaR estimates indicate potential maximum daily losses of 6.12% for FILM and 5.81% for MSIN. When combined into an equally weighted portfolio, significant diversification benefits emerge, reducing portfolio standard deviation to 2.77% and improving the VaR to 4.58%. This represents a risk reduction of 25.2% compared to FILM and 21.2% compared to MSIN. For a hypothetical investment of IDR 100 million, these improvements translate to reduced potential daily losses of IDR 1,540,482 and IDR 1,229,142 respectively. The findings demonstrate that even within a single industry, effective risk management can be achieved through strategic intra-sector diversification when constituent firms differ in business model and operational focus. This research bridges the gap between financial engineering and strategic portfolio management by offering a quantitative, simulation-based framework that supports informed decision-making for risk-conscious investors.
Prioritizing Online Learning Platforms Based on Student Needs: A TOPSIS Analysis Enos Lolang; Muthia Mutmainnah; Hafni Hafsah; Iwan Adhicandra; Ernie C Avila; Rahim, Robbi
Journal of Applied Science, Engineering, Technology, and Education Vol. 5 No. 1 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci1587

Abstract

The proliferation of online learning platforms has made it increasingly difficult for students to choose a platform that best meets their needs. This study aims to prioritize online learning platforms based on student needs using the Multiple Criteria Decision Analysis (MCDA) Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria used in the analysis were ease of use, variety of courses, cost, and reputation of instructors. The results of the analysis indicate that edX is the most suitable online learning platform for students based on the criteria and weights used in the study. Coursera, Udemy, and LinkedIn Learning were also evaluated in the analysis and may be suitable for students with specific priorities or preferences. The MCDA TOPSIS method provides a transparent and objective approach to evaluating the alternatives and offers insights into the strengths and weaknesses of each platform. The results of this study can help students make more informed decisions and choose a platform that best meets their individual needs. However, the choice of criteria and weights may vary depending on the preferences and priorities of different students, and the results should be interpreted accordingly
Co-Authors Abdul Latif Abdul Latif Abdul Rahman Abroza, Ahmad Ada Adoley Allotey Adri Lundeto Agus Riyanto Agus Widodo, Hendro Ahmar, Ansari Saleh Ahmed Ramadhan Al-Obaidi Ahyuna Ahyuna Akbar Iskandar Amiruddin, Erwin Gatot Andrei Widjanarko Anggia Arif Arfianto, Afif Zuhri Baringbing, Elsinta Karolina Br Belinda Lai Berman Hutahaean Claudia Ann Rutland Darwis Robinson Manalu Desi Eka Nuryanti Dwi Yuny Sylfania ELIHAMI, ELIHAMI Ellisa Agustina, Ellisa Elsayed T.Helmy Enos Lolang Ernie C Avila Ernie C Avila Ernie C. Avila Erwin L. Rimban Ester Rajagukguk Fahmi Sulaiman Fajriana, Fajriana Fransiskus Panca Juniawan GS , Achmad Daengs Guellica Agnesia Claudia Thanos Hafsah, Hafni Hardisal, Hardisal Harfawan Matturungan Harjanti, Trinugi Wira Hasan, Nonce Hashim, Raja Intan Zarina Binti Raja Zaki Hendro Agus Widodo Herry Rachmat Widjaja I Gede Iwan Sudipa Imam Saputra Indriyani Indriyani Intan Nurrachmi Ira Modifa Tarigan Irfan Ahmad Iswahyu Pranawukir Iswanto Suwarno Iswanto Suwarno Iwan Adhicandra Iwan Adhicandra Iwan Adicandra Jacomina Vonny Litamahuputty Jassim Alhamid Jimmy H Moedjahedy Kraugusteeliana Kraugusteeliana Kunal Kunal Kunal Kunal Kunal, Kunal Laksono Trisnantoro Lase, Delipiter Lela Khartishvili Leon Andretti Abdillah Lestari, Veronika Nugraheni Sri LITAMAHUPUTTY, JACOMINA VONNY Lusy Tunik Muharlisiani M. Aldi Hidayat Lamdho Mamadiyarov, Zokir Mansyur Mansyur Manvender Kaur Sarjit Singh Manvender Kaur Sarjit Singh Maret Sitanggang Mary Puthern Matturungan, Harfawan Meithiana Indrasari Mohamad Sudi Mohammad Aljanabi Muhammad Ade Kurnia Harahap Muhammad Ahmad Baballe Muqarranah Sulaiman Kurdi Musyarrafah Sulaiman Kurdi Mutmainnah, Muthia Nabila Turahma Niah Butarbutar Nia Maharani Raharja Nia Maharani Raharja Nofirman, N Novarezi, Wendi Tri Nur Mistari Nurhalimah Nurhalimah Nurhayati Nurhayati Nurmawati Nurmawati Omar Tanane Omar Tanane Prisma Megantoro Raditya Argananta Churyanto Rahmat Hidayat Ramadhani Prayoga Raudatul Innayah Restu Diyah Pramesti restu Rispa Ngindana Rosmawita Ningrum Rushendra, Rushendra S Suwarni Sahyunu Sahyunu Sanco Simanullang Santri W Pasaribu Sapinah, Sapinah Satria Prayudi Siewe Pougoue E.B. Siregar, Yulia Rahma Slamet Riyadi Suhanda, Yogasetya Sujatmiko, Dedi Sulaiman, Jihan Susatyo Adhi Pramono, Susatyo Adhi Syafrizaldi Syamsu Rijal T.Helmy, Elsayed Tasya Noorhaliza Toha Ardi Nugraha Toong Hai Sam Ursula Hadimeri Usanto S Usanto S Victor Jiménez-Díaz-Benito Virro I. Wajdi, Muh Barid Nizarudin Widjanarko, Andrei Widyatmike Gede Mulawarman Wim Winowatan Wulandari, Ike Yuni Yaya Finayani Yoga Ihsan Rianto Yoga Ihsan Rianto Yuaniko Paramitra