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All Journal Inferensi SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi)
Wirda Andani
Statistics Study Program, Universitas Tanjungpura, Pontianak, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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Technology Integration in Community Service: Empowering IDX Employees with Data Visualization Skills Wirda Andani; Hendra Perdana; Nurfitri Imro'ah; Evy Sulistianingsih; Neva Satyahadewi; Ray Tamtama; Shantika Martha; Yuyun Eka Pratiwi; Pitriani Pitriani; Annisa Auliarahmi; Muhammad Fikri
SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Vol. 7 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/spekta.v7i1.15922

Abstract

Background: The rapid growth of digitalization in the capital market requires the Indonesia Stock Exchange (IDX) to deliver transparent, accurate, and understandable information through data visualization. However, employees at the IDX West Kalimantan Representative Office rarely process and visualize data, even though it is essential for carrying out daily tasks. Contribution: This study fills the gap in technology-based community service programs that rarely integrate infographic training with information literacy enhancement in capital market education. The novelty of this study lies in the evaluation of the community service program, which not only measures the effectiveness of the training but also employs CB-SEM to identify the factors influencing participants’ learning outcomes. Method: The Statistics Study Program, Untan, conducted a training workshop combining theory and practice with real data. A situational analysis with IDX representatives was first carried out to identify needs and design the program. Effectiveness was evaluated using pre-tests, post-tests, and satisfaction surveys. Results: The paired t-test results at the 5% significance level demonstrating the effectiveness of infographic training in enhancing data visualization skills. In addition, CB-SEM analysis revealed that the module variable was the dominant factor, highlighting the importance of structured and relevant training materials in supporting participants’ learning outcomes. Conclusion: The training effectively enhanced the knowledge and skills of IDX West Kalimantan Representative employees in data processing and visualization.
Stock Portfolio Optimization Based on Financial and Risk–Return Clustering and TOPSIS with MVEP–MAD Weighting Wirda Andani; Shantika Martha; Evy Sulistianingsih; Muhammad Fikri; Cinta Priscillia Maharani; Rifki Pebriyandi
Inferensi Vol 9 No 2 (2026)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v9i2.9906

Abstract

This research aims to construct an optimal stock portfolio from the Kompas100 index using stock performance indicators, fundamental indicators, K-Means, TOPSIS, and portfolio optimization. Of the 100 stocks, only 22 were suitable as candidates for portfolio formation. From these 22 stocks, 4 portfolio candidates were identified through K-means analysis and 7 through TOPSIS analysis. The next step was to determine the investment proportion for each stock in the portfolio using MVEP and MAD. Performance evaluation results show that Portfolio 4, consisting of PTRO and WIFI stocks, consistently yields the highest Sharpe Ratio under both weighting methods: 0.19 using MVEP and 0.21 using MAD. Portfolio 4’s performance was then re-evaluated using data from April through December 2025, resulting in a higher Sharpe ratio for both the MAD and MVEP. Overall, this study demonstrates that the combination of the K-Means Clustering, TOPSIS, MVEP, and MAD methods can be used to assist in the stock selection process and the formation of an optimal portfolio that is more efficient than investing in a single stock because it provides a better balance between return and risk through investment diversification, while remaining stable for the next nine months.
Co-Authors Annisa Auliarahmi Cinta Priscillia Maharani Evy Sulistianingsih Hendra Perdana Muhammad Fikri Neva Satyahadewi Nurfitri Imro'ah Pitriani Pitriani Ray Tamtama Rifki Pebriyandi Shantika Martha Yuyun Eka Pratiwi