Abstract
<title>Abstract</title> <p>Satellite mission scheduling for LEO platforms becomes increasingly complex as the number of available mission configurations grows and operational schedules tighten. For LAPAN-IPB (LAPAN-A3), a LEO polar satellite at 500 km altitude operated by BRIN, mission feasibility is currently assessed by experienced operators who draw on accumulated knowledge of the satellite's battery behaviour. The approach works, but it depends on accumulated experience that is hard to document, transfer to new personnel, or verify after the fact. We address this gap with an end-to-end recommendation framework built from six years of telemetry (January 2019 – December 2024; 25357 records; four ground stations) that produces a ranked, auditable mission feasibility list at each ground-station contact. The framework comprises three components. A Hybrid SARIMAX-LSTM voltage predictor with a refined preprocessing protocol achieves R² = 0.8544, MAE = 0.1042 V, and MAPE = 0.7604% on the test partition. A Random Forest classifier, trained on telemetry aggregated at the level of each ground-station pass rather than individual raw readings, characterises the energy profile of 20 mission classes, achieving mean weighted F1 = 0.8163 and F1-macro = 0.7690 via StratifiedKFold 5-fold cross-validation. Mission thresholds are then derived through two independent approaches: a statistical approach that computes a Tukey upper-fence threshold directly from the aggregated dataset, and a machine-learning approach that derives the same threshold from the Random Forest's internal leaf-node distributions. The mission recommendation engine compares predicted battery voltage against these thresholds and ranks feasible missions by energy margin. The two approaches agree closely across all 20 mission classes, with the largest deviation at 0.0843 V, smaller than the predictor's own mean absolute error, confirming that the recommended thresholds are stable and reliable. The outcome is a documented, reproducible scheduling process that gives any operator, regardless of seniority, the same objective, evidence-based starting point for mission decisions.</p>