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All Journal Jurnal Nasional Pengabdian Masyarakat Indonesian Actuarial Journal
Khasanah, Iftha Nikmatul
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Physics Other

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Pengembangan Media Sosial Instagram dan TikTok sebagai Sarana Branding dan Edukasi di BSI Kabupaten Tangerang Arinata, Kadek Wika; Savera, Shan; Khasanah, Iftha Nikmatul; Prastowo, Marsya Aqila; Nuraprilia, Dyah; Beat, Sebastiana Laura; Hartono, Kennard Kurniadi; Purba, Delima Ester; Deliberto, Felicio; Nurhayati, Nurhayati
Jurnal Nasional Pengabdian Masyarakat Vol. 6 No. 1 (2025): Jurnal Nasional Pengandian Masyarakat
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jnpm.v6i1.2726

Abstract

The development of Instagram and TikTok as branding and educational tools for the Main Waste Bank of Tangerang Regency has shown significant results in increasing visibility and community participation in waste management. Through an integrated content marketing approach, the program successfully expanded the reach and engagement of BSI KabTang's social media accounts, with Instagram followers growing to 7136 and TikTok followers reaching 3935 within three months. Educational content presented in various formats, such as infographics, short videos, and interactive posts, effectively raised public awareness about the 3R principles (Reduce, Reuse, Recycle) and sustainable waste management practices. The main challenges included limited digital infrastructure and the digital literacy of the management team, which were addressed through intensive mentoring and sustainability strategies, including staff training, guidebook development, and building collaborative networks with environmental communities. This program demonstrated that social media can be an effective tool for environmental campaigns. Moving forward, the development of more interactive digital platforms and collaborations with various stakeholders is recommended to enhance the program's impact
Forecasting Rupiah-to-US Dollar Exchange Rate 2020 - 2025 Using a Fuzzy Time Series Markov Chain Model Rahmadani, Tiur Masayu; Maeni, Rosa; Hwa, Camelia Miftahur Rizki Kiem; Khasanah, Iftha Nikmatul; Yeo, Winner; Alfarisi, Kgs. M. Rifat; Kurniawan, Yohana Joevanca; Juwono, Adriano Fadlan; Tauryawati, Mey Lista
Indonesian Actuarial Journal Vol. 1 No. 1 (2025): Indonesian Actuarial Journal
Publisher : Persatuan Aktuaris Indonesia

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Abstract

The exchange rate of the Indonesian Rupiah against the US Dollar experiences frequent fluctuations, making economic forecasting and financial planning more difficult. This study aims to enhance exchange rate prediction accuracy by combining Fuzzy Time Series with Markov Chain probability transitions. The approach is grounded in the idea that probabilistic modeling of state changes improves the representation of dynamic currency behavior. Using daily IDR/USD data from April 2020 to March 2025, the methodology involves two main steps: fuzzifying historical exchange rate data into linguistic variables, and applying a Markov Chain to compute transition probabilities between these fuzzy states. The model’s forecasting accuracy is evaluated using mean absolute percentage error. Results show that the hybrid model achieves a lower error rate of 0.50%, compared to 0.61% using conventional Fuzzy Time Series alone. This demonstrates the hybrid model’s ability to capture both sudden market changes and stable patterns effectively. The findings suggest that the integration of Markov Chain transitions significantly improves the predictive performance of fuzzy-based models. In conclusion, this hybrid method provides a practical and reliable forecasting tool for financial analysts and policymakers. Future research could include additional economic indicators and explore alternative probability weighting methods to further enhance model accuracy.
Co-Authors Alfarisi, Kgs. M. Rifat Arinata, Kadek Wika Beat, Sebastiana Laura Deliberto, Felicio Hartono, Kennard Kurniadi Hwa, Camelia Miftahur Rizki Kiem Juwono, Adriano Fadlan Kurniawan, Yohana Joevanca Maeni, Rosa Mey Lista Tauryawati Nuraprilia, Dyah Nurhayati Nurhayati Prastowo, Marsya Aqila Purba, Delima Ester Rahmadani, Tiur Masayu Savera, Shan Yeo, Winner