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Transformasi Pengetahuan ke Keterampilan: Literasi Keuangan Siswa Kelas XII Dayah Al-Muslimun Melalui Simulasi Anggaran Ikhsan, Maulana; Putra, Shaki S.; Hasanuddin, AR Fuad; Hadi, Misbul; Phoenna, Riezky Poetra; Nawaf, Abdul Razak
Jurnal Malikussaleh Mengabdi Vol. 4 No. 2 (2025): Jurnal Malikussaleh Mengabdi, Oktober 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i02.24956

Abstract

Literasi keuangan merupakan kompetensi krusial bagi siswa tingkat akhir yang akan memasuki fase kemandirian finansial. Kegiatan pengabdian ini bertujuan untuk meningkatkan kompetensi perencanaan keuangan pada 39 siswa Kelas XII Dayah Terpadu Al-Muslimun, Lhoksukon, yang diidentifikasi memiliki pemahaman awal yang rendah dan heterogen terkait perencanaan keuangan. Metode yang digunakan adalah pendekatan kuantitatif dengan desain One-Group Pretest-Posttest dengan instrumen pengumpulan data berupa 10 pertanyaan pada kuesioner dan intervensi utama berupa pelatihan yang mengintegrasikan sosialisasi teoretis dengan simulasi praktik penyusunan anggaran pribadi. Analisis data menggunakan Paired Samples T-Test dan Cohen's d yang diterapkan pada data pretest dan posttest. Hasil menunjukkan adanya peningkatan skor pemahaman rata-rata yang sangat signifikan secara statistik dengan nilai rata-rata 3,00 (cukup paham) sebelum mengikuti kegiatan menjadi 4,76 (sangat paham) setelah mengikuti kegiatan dengan nilai p sebesar 0,00. Dampak intervensi terbukti sangat besar secara praktis, dengan nilai Cohen's d sebesar 3,992. Selain itu, terjadi penurunan drastis pada standar deviasi skor yang mengindikasikan keberhasilan program dalam menyeragamkan kompetensi siswa pada level yang tinggi. Luaran dari kegiatan ini adalah peningkatan kapabilitas aplikatif siswa dalam mengelola keuangan, membuktikan bahwa metode pembelajaran berbasis pengalaman sangat efektif dalam mentransformasi pengetahuan kognitif menjadi keterampilan praktis.
Web-Based Virtual Lab for DC Motor Control: Implementing RK4 and Anti-Windup PID Strategies Shaki Saptiadi Putra; Muhammad Nuzan Rizki; Abdul Rahman
Malikussaleh Journal of Mechanical Science and Technology Vol. 9 No. 2 (2025): Malikussaleh Journal of Mechanical Science and Technology (MJMST)
Publisher : E-Journal Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/mjmst.v9i2.25474

Abstract

Control systems education often faces a dichotomy between costly physical laboratories and accessible but numerically inaccurate simulation platforms, such as web-based simulators. Existing web-solutions typically rely on low-order integration methods, failing to capture realistic non-linear behaviors crucial for industrial applications. This study addresses these limitations by developing a high-fidelity, client-side Virtual Laboratory for DC Motor control. The novelty of this work lies in the integration of the Runge-Kutta 4th Order (RK4) algorithm within a lightweight HTML5/JavaScript architecture, eliminating server-side latency while ensuring superior numerical precision over standard Euler-based applets. Furthermore, the system implements a realistic discrete PID controller with a Conditional Integration (Clamping) Anti-Windup strategy, enabling precise analysis of actuator saturation effects. Validation benchmarks against standard numerical computing software like GNU Octave demonstrate rigorous accuracy. The proposed system achieves a steady-state relative error of less than 0.001% and shows negligible deviation in transient response metrics (rise time, settling time, and overshoot). Additionally, the virtual lab maintains identical closed-loop pole locations up to four decimal places. By integrating real-time Bode Plot and Root Locus analysis, this platform provides a robust, open-access tool that effectively bridges the gap between theoretical design and practical non-linear implementation challenges.
Feasibility and Technical Reliability Study of a Standalone Rooftop Solar Power Plant System Using Python Pvlib: A Case Study on Renewable Energy Engineering Laboratory Building of Universitas Malikussaleh Putra, Shaki S.; Sari, Hermin Kartika; Pratama, Thomas Oka; Putra, Reza
Jurnal Teknologi Vol 26, No 1 (2026): April 2026
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v26i1.8505

Abstract

This study evaluates the technical feasibility and reliability limits of a standalone rooftop solar power plant system for the Renewable Energy Laboratory at Universitas Malikussaleh, North Aceh. Utilizing the pvlib Python library and NASA POWER meteorological data from 2022 to 2024, a high-resolution time series simulation was conducted to model energy yield, battery dynamics, and Loss of Power Supply Probability (LPSP). The results reveal a significant seasonal reliability gap, while the system achieves optimal performance in dry months with LPSP 1%, it suffers critical power failures during the monsoon season, with LPSP peaking at 31.80% in December due to consecutive low irradiance days. Furthermore, the energy balance analysis highlights a system inefficiency where substantial energy curtailment occurs during high-irradiance periods despite severe deficits in wet months. Consequently, a pure off-grid configuration is deemed technically unfeasible for critical laboratory loads without unrealistic oversizing. The study concludes that transitioning to a PV-Hybrid topology with backup generation is essential to ensure operational continuity while complying with current non-export regulatory constraints.