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Aplikasi Metode Fasttrack dan Crashing Dalam Manajemen Konstruksi Tunnel PLTM Ketahun-3 Lebong Bengkulu Muhammad iqbal; Pitojo Tri Juwono; Evi Nur Cahya
JURNAL TECNOSCIENZA Vol. 8 No. 2 (2024): TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/tecnoscienza.v8i2.1193

Abstract

Penelitian ini membahas penerapan metode fasttrack dan crashing dalam manajemen konstruksi tunnel. Metode fasttrack digunakan untuk mengoptimalkan jadwal proyek dengan mempercepat aktivitas kritis, sementara metode crashing bertujuan untuk mengurangi durasi proyek dengan menambah sumber daya. Dalam konteks konstruksi tunnel, kedua metode ini dapat membantu mengatasi tantangan kompleksitas dan ketidakpastian yang sering terjadi. Tujuan dari penelitian ini untuk menganalisa penggunaan waktu, biaya serta sumber daya yang terpakai dengan implementasi dari kedua metode tersebut dalam mengelola proyek tunnel secara efisien dan efektif aplikasi metode percepatan fasttrack dan crashing pada proyek tunnel PLTM Ketaun-3. Analisis dilakukan dengan menghitung analisa harga satuan pekerjaan, rencana anggaran biaya, jumlah kebutuhan sumber daya perhari, serta menentukan durasi dan logika ketergantungan, kemudian melakukan penjadwalan ulang untuk dapat memberikan penggunaan sumber daya yang optimal. Kemudian didapatkan perbandingan terhadap biaya dan waktu proyek sebelum dilakukan percepatan maupun sesudah. Dengan metode fasttrack, proyek ini dapat diselesaikan dengan 3,85% lebih cepat dari jadwal serta biaya akhir proyek lebih efektif sebesar 0,6%. Sedangkan dengan metode crashing, keseluruhan pekerjaan pembangunan tunnel dapat diselesaikan dengan efisiensi 2,98% dari segi waktu dan serta 2,71% dari segi biaya. Dari hasil ini, disimpulkan bahwa metode crashing lebih efektif dalam penyelesaian proyek ini.
Decoding Digital Dilemmas: The Indonesian Journey From Facebook-Commerce Anxiety To Engaged Participation (Theoretical paper) Ahmad Fauzi; Endang Siti Astuti fauzi; Edy Yulianto; Muhammad Iqbal
Asian Journal of Management, Entrepreneurship and Social Science Vol. 4 No. 03 (2024): August Asian Journal of Management Entrepreneurship and Social Science ( AJMES
Publisher : Cita Konsultindo Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Decoding Digital Dilemmas: The Indonesian Journey from Facebook-Commerce Anxiety to Engaged Participation delves into Indonesia's unique trajectory in the digital marketplace landscape, primarily focusing on Facebook as a platform for commerce. This paper uncovers the initial trepidation and uncertainties experienced by local merchants and consumers, attributed largely to unfamiliarity with the digital ecosystem and concerns about security, trustworthiness, and cultural fit. Drawing upon a mix of qualitative and quantitative data, we trace how these anxieties have evolved over time. A convergence of improved technological infrastructure, community-led knowledge sharing, and Facebook's localized strategies has led to an environment where digital commerce now thrives. The Indonesian case exemplifies how societies can transition from hesitation to active engagement in digital platforms, offering insights for other emerging markets navigating their own digital transformations.
Hybridization of PSO-SSA for Photovoltaic System MPPT Under Dynamic Irradiance and Temperature Muhammad Iqbal; Hadi Suyono; Wijono
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2410

Abstract

Maximum Power Point Tracking (MPPT) has become an important area of research to optimize the power generated by photovoltaic (PV) systems, particularly under various configurations such as series and parallel. Conventional methods, including Perturb and Observe (P&O) and Incremental Conductance (InC), often fail under dynamic or partial shading conditions, while metaheuristic algorithms such as Particle Swarm Optimization (PSO) and Salp Swarm Algorithm (SSA) provide global optimization but still suffer from slow convergence and power oscillations. This study proposes a hybrid MPPT approach by combining PSO and SSA to overcome these limitations. The algorithm was implemented in MATLAB/Simulink and tested under 96 scenarios covering series and parallel configurations with irradiance and temperature variations that change both suddenly (< 1 s) and gradually (> 1 s). Simulation results demonstrate that the hybrid PSO–SSA consistently achieves faster convergence compared to standalone PSO or SSA, with an average convergence time of 0.286 s in the series configuration (25–36% faster) and 0.282–0.284 s in parallel configuration, while achieving comparable power output to PSO. Overall, the proposed hybrid PSO–SSA algorithm provides a faster, more adaptive, and robust MPPT strategy under realistic PV operating conditions, contributing to reducing energy losses in fluctuating environments.