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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Teknik Pengairan: Journal of Water Resources Engineering Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Pengabdian Kepada Masyarakat Meambo
Muhammad Zulfakar
Universitas Maritim Raja Ali Haji, Tanjungpinang
Aerospace Engineering Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Prediksi Tingkat Kerusakan Struktur Bangunan Beton Bertulang Berdasarkan Riwayat Waktu Gempa Dengan Metode Jaringan Saraf Tiruan Muhamad Zulfakar; Reni Suryanita; Enno Yuniarto
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 2 (2016): Wisuda Oktober Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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

Abstract

Indonesia is one of the countries that located in quake zone. The potential of earthquake that could cause the damage to the building should be considered into the design of the building. Therefore, one of the solutions to analyzing the structural responses and the damage level promptly and easily when the earthquake occurred is with using Artificial Neural Network (ANN). The building model is a reinforced concrete building with 10 floors and height between floor is 3.6 m. Model building receives a load of earthquake based on earthquake time history of New Zealand, San Francisco, Cape Mendocino, El Centro, Loma Prieta, San Fernando, Kocaely, Nenana and Danieli. Each time history scaled to 0,5g, 0,75g, and 1,0g. In addition, this earthquake time history also scaled to the PGA of Pekanbaru. Artificial Neural Network (ANN) are designed in 4 architectural models using MATLAB program. Model 1 is ANN with the input of the displacement, velocity and, Model 2 is ANN with the input of displacement, Model 3 is ANN with the input of velocity, and Model 4 is JST with the input of acceleration. Output of the ANN is the damage level of building with the category of Safe, Immediate Occupancy (IO), Life Safety (LS) or in a condition of Collapse Prevention (CP). Artificial neural network trained with 8 data sets of earthquake time history, and the remaining 1 data set of earthquake time history was used for simulation. Artificial neural network models has the prediction rate to predict the damage level between 85%-95%. The results from simulation with the 913 data from time history of Danieli’s earthquake for all scales is 93,32% data could be predicted correctly by ANN Model 1. For the Model 2, Model 3, Model 4 in a row could provide prediction correctly up to 92,11%,91,46% and 87,62%. This indicates that artificial neural networks can predict the damage level of building with average accuracy 90,13%.Keywords: Artificial neural network, structural response, time history, damage level.
Analisis Pengaruh Arah Angin terhadap Gaya Dorong dan Tekanan pada Panel Surya Ground-Mounted Zulfakar, Muhamad
Jurnal Informasi, Sains dan Teknologi Vol. 8 No. 1 (2025): Juni: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v8i1.337

Abstract

Ground-mounted solar panels are directly exposed to environmental conditions, particularly wind, making structural design essential. While wind tunnel experiments have been a primary research method, they are costly and time-consuming. Computational Fluid Dynamics (CFD) simulations provide an efficient alternative by accurately modeling fluid-structure interactions, allowing for detailed aerodynamic analysis without physical testing. This study examines a solar panel configuration of 2×18 (1700×1200 mm panels) under a wind speed of 30 m/s at a height of 10 m. Wind direction variations (0°, 30°, 60°, 90°, 120°, 150°, 180°) significantly impact aerodynamic behavior. Drag Force analysis reveals that frontal wind (0°) generates the highest drag, while lateral wind (90°) has the least effect. Surface Pressure and Surface Coefficient (Cp) analysis indicate maximum pressure at 0°, where Cp values are highest, highlighting a pronounced pressure differential. At 90°, pressure distribution is more uniform, reducing aerodynamic impact. At 180°, rear-side pressure remains influential but lower than frontal exposure.
Implementasi Teknologi Irigasi Cerdas: Sistem Penyiraman Otomatis Menggunakan Sensor Kelembaban dan Sprayer Pada Gapoktan Desa Gunung Lengkuas Ilva, Habrio; Dwirama Putra, Risandi; Abdul Alimun Karim; Cahya Rada, Dwi; Muhamad Zulfakar
Jurnal Pengabdian Meambo Vol. 4 No. 2 (2025): Jurnal Pengabdian Kepada Masyarakat MEAMBO
Publisher : PROMISE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56742/jpm.v4i2.138

Abstract

Petani Sayur di Desa Gunung Lengkuas masih menggunakan metode penyiraman manual yang kurang efisien dari segi waktu, tenaga, dan penggunaan air. Kegiatan pengabdian masyarakat ini bertujuan untuk mengatasi permasalahan penyiraman manual yang masih dilakukan oleh petani di Desa Gunung Lengkuas melalui implementasi sistem irigasi cerdas. Teknologi yang diperkenalkan adalah sistem penyiraman otomatis berbasis sensor kelembaban tanah dan sprayer yang dikendalikan oleh mikrokontroler NodeMCU ESP8266 serta didukung panel surya sebagai sumber energi. Metode pelaksanaan mencakup observasi lapangan, perancangan alat, instalasi sistem, pelatihan mitra, dan evaluasi kinerja sistem. Kegiatan dilakukan secara tatap muka selama periode September hingga Desember 2024, bekerja sama dengan GAPOKTAN Desa Gunung Lengkuas sebagai mitra utama. Hasil kegiatan menunjukkan sistem mampu mengurangi penggunaan air hingga 30% serta menghemat waktu dan tenaga petani karena penyiraman dilakukan secara otomatis dan tepat waktu. Teknologi ini juga memberikan solusi yang ramah lingkungan dan hemat energi, karena memanfaatkan sumber daya terbarukan. Implementasi sistem irigasi cerdas ini tidak hanya meningkatkan efisiensi dalam pengelolaan pertanian, tetapi juga mendorong transformasi menuju pertanian berbasis teknologi.
Implementasi Teknologi Irigasi Cerdas: Sistem Penyiraman Otomatis Menggunakan Sensor Kelembaban dan Sprayer Pada Gapoktan Desa Gunung Lengkuas Ilva, Habrio; Dwirama Putra, Risandi; Abdul Alimun Karim; Cahya Rada, Dwi; Muhamad Zulfakar
Jurnal Pengabdian Meambo Vol. 4 No. 2 (2025): Jurnal Pengabdian Kepada Masyarakat MEAMBO
Publisher : PROMISE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56742/jpm.v4i2.138

Abstract

Petani Sayur di Desa Gunung Lengkuas masih menggunakan metode penyiraman manual yang kurang efisien dari segi waktu, tenaga, dan penggunaan air. Kegiatan pengabdian masyarakat ini bertujuan untuk mengatasi permasalahan penyiraman manual yang masih dilakukan oleh petani di Desa Gunung Lengkuas melalui implementasi sistem irigasi cerdas. Teknologi yang diperkenalkan adalah sistem penyiraman otomatis berbasis sensor kelembaban tanah dan sprayer yang dikendalikan oleh mikrokontroler NodeMCU ESP8266 serta didukung panel surya sebagai sumber energi. Metode pelaksanaan mencakup observasi lapangan, perancangan alat, instalasi sistem, pelatihan mitra, dan evaluasi kinerja sistem. Kegiatan dilakukan secara tatap muka selama periode September hingga Desember 2024, bekerja sama dengan GAPOKTAN Desa Gunung Lengkuas sebagai mitra utama. Hasil kegiatan menunjukkan sistem mampu mengurangi penggunaan air hingga 30% serta menghemat waktu dan tenaga petani karena penyiraman dilakukan secara otomatis dan tepat waktu. Teknologi ini juga memberikan solusi yang ramah lingkungan dan hemat energi, karena memanfaatkan sumber daya terbarukan. Implementasi sistem irigasi cerdas ini tidak hanya meningkatkan efisiensi dalam pengelolaan pertanian, tetapi juga mendorong transformasi menuju pertanian berbasis teknologi.
Displacement Characteristics of Stiffened Column-Beam End-Plate Joints: A Comparative Study Rada, Dwi Cahya; Zulfakar, Muhamad
Sustainable Vol 13 No 2 (2024): Jurnal Sustainable : Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/4tj54984

Abstract

This study investigates the mechanical behavior of extended end-plate moment connections in steel structures, with a focus on the variations in stiffener angle and position. Utilizing finite element analysis (FEA), three models featuring different stiffener configurations were assessed to evaluate their rotational capacity and displacement characteristics. The results indicate that adding a stiffener to the moment connection between the beam and the column at the bottom of the connection increases the rotational capacity by 32.60% when comparing the flush type of end plate to a model with a 45° single rib stiffener. Additionally, the implementation of double stiffeners significantly enhances the rotational capacity, improving performance by up to 59.85% compared to unstiffened configurations. Increasing the angles of the stiffeners further optimizes load distribution and structural integrity. These findings highlight the importance of stiffener design in moment connections, particularly regarding rotational capacity. Future research should explore the effects of bolt pretension and the use of varied bolt diameters for further optimization.
Displacement Characteristics of Stiffened Column-Beam End-Plate Joints: A Comparative Study Rada, Dwi Cahya; Zulfakar, Muhamad
Sustainable Vol 13 No 2 (2024): Jurnal Sustainable : Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/4tj54984

Abstract

This study investigates the mechanical behavior of extended end-plate moment connections in steel structures, with a focus on the variations in stiffener angle and position. Utilizing finite element analysis (FEA), three models featuring different stiffener configurations were assessed to evaluate their rotational capacity and displacement characteristics. The results indicate that adding a stiffener to the moment connection between the beam and the column at the bottom of the connection increases the rotational capacity by 32.60% when comparing the flush type of end plate to a model with a 45° single rib stiffener. Additionally, the implementation of double stiffeners significantly enhances the rotational capacity, improving performance by up to 59.85% compared to unstiffened configurations. Increasing the angles of the stiffeners further optimizes load distribution and structural integrity. These findings highlight the importance of stiffener design in moment connections, particularly regarding rotational capacity. Future research should explore the effects of bolt pretension and the use of varied bolt diameters for further optimization.
Flood Identification Using Google Earth Engine and Correlation with Disaster Risk Level in Tanjungpinang City Dewi, Dian Kharisma; Zulfakar, Muhamad; Sukmawan, Muhammad Fatwa; Oktavia, Ferly
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.02.4

Abstract

Tanjung Pinang, the capital city of Kepulauan Riau Province, experienced a significant flood in early January 2021. The rainfall intensity during this event reached approximately 282.6 mm/hour, the highest recorded since 2011. This flood caused extensive damage to several facilities and residential areas. The impact of such disasters can be mitigated through identification, evaluation, and preventive measures. One such preventive approach is flood identification, which involves mapping flood extent areas. This study utilized Google Earth Engine (GEE), a web-based application platform, to achieve this. The advanced capabilities of GEE enabled the identification of flood distribution in January 2021. The results revealed that the cumulative flood distribution area was 37.89 hectares on January 2 and 149.88 hectares on January 10, with the largest affected area in Tanjungpinang Timur, covering 89.858 hectares. Based on the disaster risk level guidelines outlined in Regulation Number 02/2012, issued by BNPB, the floods on January 2 and 10, 2021, were classified as ‘High-Level’ disasters.  
Optimalisasi Edukasi Higienitas dan Manajemen Sampah Berbasis Sosialisasi dan Media Visual Muhammad Zulfakar; Sapar Hidayat. S; Adon Alviandre Sirait; Heri Susanto; Fiqriansyah Raditiya Reinaldy; Argya Midra; Salsabilla Ananda Rindina; Dwi Ismawati; Dea Nathasya Sinulingga; Nayla Septia Navira; Zahra Zahra
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 4 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i4.3131

Abstract

Environmental and sanitation issues remain critical challenges in rural areas, requiring comprehensive and integrated solutions. This community service program aims to optimize understanding and awareness of Clean and Healthy Living Behavior (PHBS) as well as environmental management from an early age, targeting Early Childhood Education (PAUD) students, 5th and 6th grade elementary school (SD) students, and the general public. The program is implemented using a Participatory Action Research (PAR) approach through three main intervention stages: first, hygiene education for PAUD students through motor skill stimulation such as exercise, direct practice of handwashing with soap (CTPS), and coloring activities; second, integrated socialization at the elementary school level involving simulations of organic and inorganic waste sorting, anti-bullying campaigns, and the importance of general health in schools; and third, the design and installation of visual media in the form of educational signboards displaying the decomposition time of household waste in strategic village locations. The results show a significant impact, with 90% of PAUD students demonstrating improved motor skills and independent sanitation understanding, and more than 85% of elementary students able to accurately practice waste sorting. At the community level, the installation of educational signboards has created a cognitive shock effect, increasing public awareness of the dangers of plastic waste accumulation. In conclusion, the synergy between preventive education in schools and visual campaigns in public spaces is highly effective in promoting sustainable sanitation behavior within the village ecosystem.
Co-Authors Abdul Alimun Karim Adon Alviandre Sirait Argya Midra Dea Nathasya Sinulingga Dewi, Dian Kharisma Dwi Ismawati Enno Yuniarto Ferly Oktavia Fiqriansyah Raditiya Reinaldy Habrio Ilva YR Heri Susanto Muhammad Fatwa Sukmawan Nayla Septia Navira Reni Suryanita Risandi Dwirama Putra Salsabilla Ananda Rindina Sapar Hidayat. S Zahra Zahra