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Explainable rice yield from Sentinel-1 and Sentinel-2 satellite data for food security Tribuana, Dhimas; Sattar, Usman; Mide, Baharuddin; Dayanti, Dayanti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp615-627

Abstract

Reliable, explainable crop-yield estimates are essential for food-security planning in data-sparse regions. We present a transparent pipeline for district-level (regency) rice yield prediction in Indonesia that fuses Sentinel-1 synthetic aperture radar (SAR), Sentinel-2 normalized difference vegetation index (NDVI), and weather/reanalysis features. The system standardizes inputs per province, fixes a 16-day temporal key, and uses a small, auditable ensemble of tree models (gradient boosting+light gradient-boosting machine (LightGBM)). Trained on ≤2023 data and evaluated on a 2024 temporal hold-out, a joint West Java ∪ South Sulawesi model achieves root mean square error (RMSE)≈0.80 t/ha, mean absolute error (MAE)≈0.48 t/ha, and R-squared (R²)≈0.33 at regency scale. Feature importances and Shapley additive explanations (SHAP) confirm that phenology (NDVI peak, integral, green-up/senescence), SAR backscatter (vertical transmit-vertical receive/vertical transmit-horizontal receive (VV/VH)), and wind/pressure are consistent drivers under monsoon conditions. The workflow supports routine, one-click provincial updates and produces parity maps and error bars for actionable diagnostics. These results demonstrate that combining Sentinel-1, Sentinel-2, and basic meteorology delivers accurate, interpretable, and operational yield signals suited to Indonesia’s food security needs, while providing a clear recipe for scaling to additional provinces.
Strategic Role of Social Media in Enhancing Customer Engagement in Higher Education Umiyati, Hesti; Surahmat, Asep; Tribuana, Dhimas; Zogara, Lukas Umbu
MIX: JURNAL ILMIAH MANAJEMEN Vol 16, No 1 (2026): MIX : Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jurnal_mix.2026.v16i1.012

Abstract

Objectives: The growth of social media has changed the communication space for colleges and universities, especially in conversations with prospective or enrolled students. To fill gap and also provide empirical basis, this study aims to investigate the strategic contribution of social media in developing customer engagement in Indonesian higher education setting focusing on content quality, engagement strategy, and platform diversity.Methodology: The research was carried out using the quantitative method of the descriptive type. Initial data was collected through an online survey that was sent to 150 strategically chosen participants who create content centred on university through platforms including Instagram and TikTok. The analysis was conducted with Partial Least Squares Structural Equation Modeling (PLS-SEM).Finding: From the findings of this research, three main constructs that underpin the impact of a socialmedia strategy on customer engagement were discovered: diversity; interaction and content quality. The effective communication, right choice of the platform and strategic methods of communication are important in maintaining the engaging.Conclusion: This analyses offer institutions a perspective of how to further develop the presence in social media, and is an effort to understand how students can be communicated with using digital channels within higher education. It highlights the necessity for academic programs to move from mere content delivery in a digital environment toward something more meaningful and engaging. It is recommended for future studies to use mixed-method design and compare the results, which can provide a full picture about such contexts.
Co-Authors Abdul Latief Arda Abel, Abel Ahkas, Andi Suciana Ahmad Dani Ahmad, Andani Ahmadi, Muh. Taufiq Alfiansa, Reza Andani Achmad Apriani Sijabat Ardiansyah, Muh. Ashar Ashar Asmarani, Adelia Awalya, Nurul Aziza, Nur Baharuddin Baharuddin Berlian, Andi Fajar Budi Hermawan Damayanti, Sisil Dayanti Dayanti, Dayanti Dedi Triyanto Dewi Haryanti Agustan , Andi Dewi Haryanti Agustan, Andi Dewi, Kharisma Dianah, Koas Diath Yogmar, Amsar elsa, elsa Eman Suherman Fakbua, Nidanuch Febriansyah, Angky Fibrilya Herman, Radika Firdania, Andi Fitri, Anisa Halimah, Endang Hazriani Hazriani, Hazriani Hidayat Isiswanty Isnansah, Zulfikar Jusnidar, Jusnidar Khomsiah, Kharismatul Konate, Siaka Lukas Umbu Zogara Marzan, Asya Syara Masdar, Imelda Melni, Melni Mide, Baharuddin Muhammad Resky, Andi Muhammad Rusli Musfida, Firdha Mutmainnah Mutmainnah Nabila, Alya Nabila, Efa Ayu Nur Alifah, Alyah Nurfadilla, Nurfadilla Nurhinaya, Nurhinaya Nurwafia, Andi Pradana, Ninda Pratama, Denis Puri Swastika Gusti Krisna Dewi Puspita Ayu, Novalinda Rael Astillero, Marlon Rahma Wahdiniwaty Rahmadani, Nia Ramadhana, Sahru Ramadhani, Asnia Ramdan Satra Reskianto, Dimas Revalina, Revalina Ridwan, Muh Riskayanti, Riskayanti riswanto riswanto Rivaldi, Riksal Rizki Indrawan Rusdin, Arman Rusdin, Kausar Sahra, Nurkhafitri Said Uddin, Abu Sangka, Nurul Yaqin Sattar, Usman Setiawan, Yudhika Sri Rejeki Sugiarti, Iin Supriadi Supriadi Surahmat, Asep Syafei, M. Yani Syafei, M. Yani Syafei Titih Nursugiharti Ulfani, Tri Umi Kalsum, Andi Umi Narimawati Umiyati, Hesti Usman Usman Very, Eka Dawn Whardani, Kristina Whardani Wijaya, Rizky Charles Wulan Dari, Rika Yunansi Bonsa, Putri Yusni Yusni Yuyun, Yuyun