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All Journal Jurnal Manajemen Indonesia Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik INAQUE: Journal of Industrial & Quality Engineering Jurnal Media Teknik dan Sistem Industri Interdisciplinary Social Studies Jurnal Teknologi dan Manajemen Jurnal Impresi Indonesia Journal of Social Research Journal Of World Science Jurnal Pengabdian Masyarakat Tjut Nyak Dhien Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Return : Study of Management, Economic and Bussines Jurnal Sosial dan Sains Journal Research of Social Science, Economics, and Management Jurnal Pendidikan Indonesia (Japendi)
Patra, Oviyan
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Journal : Syntax Literate: Jurnal Ilmiah Indonesia

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Penerapan Metoda Algoritma Genetika Dalam Distribusi Lokasi Automatic Weather Station (AWS) Di Wilayah Kabupaten Lamongan Jawa Timur Untuk Kebutuhan Perencanaan Dan Pengelolaan Lahan Pertanian Adiwijaya, Chandra; Patra, Oviyan; Suryana, Hendy
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

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Abstract

This study aims to optimize AWS distribution to significantly improve weather monitoring coverage by minimizing the number of coverage holes. The approach used is the Genetic Algorithm (GA), an evolutionary computation method capable of solving optimization problems by searching for the best solution among a population of candidate solutions. This research tested 9 parameter combinations consisting of population size, number of generations, and mutation ratio to determine the effect of each parameter on the quality of AWS distribution. To support visualization and result validation, a Human Machine Interface (HMI)-based software was developed to interactively and informatively display the AWS sensor distribution process. This HMI is equipped with a regional map and supports spatial simulation, enabling easy validation of actual coordinates and visual evaluation of sensor distribution. The test results indicate that an increase in the number of generations correlates with a decrease in coverage holes. The best parameter combination was obtained with a population size of 10, 100 generations, and an 80% mutation ratio, resulting in the lowest coverage hole count of only 10 pixels. The final distribution in the best test case (Test 9) produced 42 sensor coordinate points optimally distributed. These sensor positions not only cover a wide and efficient area but have also been converted into geographic coordinates that can be directly used for AWS installation planning in the field. It can be concluded that the Genetic Algorithm is effective for optimizing AWS distribution, particularly in agricultural regions such as Lamongan Regency. The findings of this study, supported by an interactive HMI system, are expected to serve as a technical reference for policymakers in planning agriculture-based technology infrastructure to support efficient weather monitoring and national food security.
Pengaruh Kompetensi Karyawan Dan Teknologi Bim Terhadap Kerja Sama Tim Serta Dampaknya Terhadap Produktivitas Kinerja Karyawan Rohmat, Agus; Nugraha, Evan; Patra, Oviyan; Suryana , Hendy
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i8.61296

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh kompetensi karyawan dan teknologi Building Information Modeling (BIM) terhadap kerja sama tim serta dampaknya terhadap produktivitas kinerja karyawan proyek konstruksi. Penelitian dilakukan pada Proyek Bangunan 13 Tahap 2 PT Medion dengan melibatkan 100 responden dari tim proyek. Pendekatan yang digunakan adalah kuantitatif asosiatif, dengan metode survei menggunakan kuesioner dan analisis data melalui Structural Equation Modeling berbasis Partial Least Squares (SEM-PLS) menggunakan SmartPLS 4. Hasil menunjukkan bahwa kompetensi karyawan berpengaruh positif dan signifikan terhadap kerja sama tim (β = 0,396; p < 0,001) dan produktivitas (β = 0,206; p = 0,008). Teknologi BIM juga berpengaruh positif dan signifikan terhadap kerja sama tim (β = 0,453; p < 0,001) dan produktivitas (β = 0,439; p < 0,001). Kerja sama tim berpengaruh signifikan terhadap produktivitas (β = 0,399; p < 0,001) dan berperan sebagai variabel mediasi. Model penelitian menunjukkan nilai R² sebesar 0,596 untuk kerja sama tim dan 0,881 untuk produktivitas, serta nilai Q² masing-masing sebesar 0,479 dan 0,812, dengan SRMR sebesar 0,051 yang mengindikasikan model fit yang baik. Temuan ini diperkuat oleh data lapangan yang menunjukkan peningkatan kualitas, ketepatan waktu, dan kolaborasi tim proyek. Penelitian ini menyimpulkan bahwa kompetensi SDM dan pemanfaatan teknologi BIM secara kolaboratif berperan penting dalam meningkatkan produktivitas kinerja proyek konstruksi.
Co-Authors Ade Maulana Adi Ganda Putra Adiwijaya, Chandra Al Rasyid, Taufik Apriyadi, Teddi Arifin, Dadang Batubara, Nasep Nirwan Dede Wahyudin, Dede Diah Puspita, Hermita Doan, Tulus Gunawan, Maulana Indra Hendy Suryana Ilyas, Farizha Fadhilla Lambang, Aris Muttaqien, Zaenal Norina, Rida Nugraha, Evan Nurhadi Pardiyono, Ragil Pitaloka, Bunga Ayu Puspawardhani, Gianti Ramdani, Alfi Taufiq Rinto Yusriski Rohmat, Agus Rudianto, Kusnendar Trianto Rukmana, Dodi Suryana , Hendy Suryana, Hendy Teddi Apriyadi Tuti Leni Suaningsih