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PELATIHAN DASAR KEPEMIMPINAN ORGANISASI HIMPUNAN MAHASISWA SISTEM DAN TEKNOLOGI PELATIHAN DASAR BAGI HIMPUNAN MAHASISWA STI UNTUK PENGUATAN KAPASITAS ORGANISASI Muhammad Rizkillah; Muhammad Imam Dinata; Anggreni Anggreni; Fitri Astutik; Idham Idham
Journal of Community Empowerment Vol 4, No 3 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jce.v4i3.36815

Abstract

ABSTRAK                                                                                     Kepemimpinan merupakan kemampuan penting yang harus dimiliki mahasiswa sebagai agen perubahan dalam organisasi kemahasiswaan. Namun, hasil observasi pada Himpunan Mahasiswa Sistem dan Teknologi Informasi (HIMASTI) Universitas Muhammadiyah Mataram menunjukkan rendahnya pemahaman dasar kepemimpinan, kepercayaan diri dalam memimpin, serta efektivitas komunikasi anggota organisasi. Oleh karena itu, dilakukan pelatihan dasar kepemimpinan untuk meningkatkan kapasitas mahasiswa dalam mengelola organisasi secara optimal. Pelatihan dilaksanakan selama dua hari melalui metode partisipatif, meliputi penyampaian materi interaktif, diskusi kelompok, studi kasus, dan simulasi peran. Evaluasi dilakukan menggunakan pre-test dan post-test serta refleksi akhir kegiatan. Hasil pelatihan menunjukkan peningkatan pengetahuan, sikap, dan keterampilan kepemimpinan peserta, termasuk kemampuan mengambil keputusan, bekerja sama, berkomunikasi dalam konteks organisasi serta menghasilkan rekomendasi perbaikan tata kelola organisasi. Secara keseluruhan, program pelatihan ini berkontribusi pada penguatan kapasitas kepemimpinan mahasiswa dan pembentukan karakter  organisasi yang lebih produktif. Pelatihan lanjutan disarankan agar pengembangan kepemimpinan dapat terus berkelanjutan.Kata kunci: Kepemimpinan; Organisasi Kemahasiswaan; Pelatihan Dasar; Soft Skills; HIMASTI.ABSTRACTLeadership is an essential capability that must be possessed by students as agents of change within student organizations. However, observations of the Student Association of Information Systems and Technology (HIMASTI) at Muhammadiyah University of Mataram indicate a low level of basic leadership understanding, limited self-confidence in leading, and ineffective communication among organization members. Therefore, a basic leadership training program was conducted to enhance students’ capacity to manage organizations more effectively.The training was carried out over two days using participatory methods, including interactive material delivery, group discussions, case studies, and role-playing simulations. The evaluation was conducted through pre-tests and post-tests, as well as final reflections at the end of the program. The results of the training demonstrate improvements in participants’ leadership knowledge, attitudes, and skills, including decision-making abilities, teamwork, and communication within an organizational context, as well as the generation of recommendations for improving organizational governance. Overall, this training program contributes to strengthening students’ leadership capacity and fostering a more productive organizational character. Further training is recommended to ensure the sustainability of leadership development.Keywords: Leadership; Student Organization; Basic Training; Soft Skills; HIMASTI.
Evaluasi Kinerja Model SARIMA dan AMBP dalam Prakiraan Curah Hujan Berbasis Blok di Nusa Tenggara Barat Nur Aulia Putri; Siti Agrippina Alodia Yusuf; Muhammad Imam Dinata; Nani Sulistianingsih; Syaharuddin Syaharuddin
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.250

Abstract

This study aims to compare the performance of the Seasonal Autoregressive Integrated Moving Average (SARIMA) and Adaptive Momentum Backpropagation (AMBP) models for predicting monthly rainfall in West Nusa Tenggara Province. The data used consists of monthly rainfall from the NASA POWER dataset for the period from January 1981 to December 2025. The evaluation was conducted using a block-based forecasting approach that divides the data into eight temporal blocks with a 120-month training window and a 12-month forecast horizon. Model performance was evaluated using several evaluation metrics to measure the models’ accuracy and generalization ability. The results show that the SARIMA model has better and more stable predictive performance, with an average RRMSE of 49.18% and (R²) of 68.13%, while the AMBP model yields an average RRMSE of 62.83% and an R² of 42.40%. Both models showed the ability to follow seasonal rainfall patterns in some evaluation blocks; however, SARIMA demonstrated more stable and consistent performance across the temporal blocks than AMBP. The results indicate that linear statistical models remain effective in modeling rainfall with strong seasonal patterns and have the potential to support water resource planning, hydrometeorological disaster mitigation, and information-based agricultural sector management.