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Agung Budiwirawan
Universitas Negeri Semarang
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Nursing Public Health Social Sciences

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Optimalisasi Desain Plat Lantai Beton Bertulang berdasarkan Harga Terendah Menggunakan Metode Genetic Algorithm Ahmad Faadhil Murtaza; Agung Budiwirawan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.7791

Abstract

Perencanaan plat lantai beton bertulang secara konvensional menggunakan pendekatan trial and error sering menghasilkan desain yang konservatif sehingga tidak efisien dari segi biaya dan penggunaan material. Penelitian ini bertujuan mengembangkan model optimalisasi desain plat lantai beton bertulang tipe one-way slab berbasis Python dengan menerapkan metode Genetic Algorithm (GA) untuk memperoleh konfigurasi desain berbiaya konstruksi minimum. Kebaruan penelitian terletak pada integrasi otomatis ketentuan SNI dan analisis biaya lokal AHSP Kota Semarang dalam fungsi evaluasi GA. Variabel desain yang dioptimalkan meliputi tebal plat (H), diameter tulangan (Db), mutu beton (fc'), dan jarak tulangan (S), dengan batasan teknis berupa kapasitas lentur dan kontrol lendutan sesuai SNI 2847:2019, SNI 2052:2017, dan SNI 1727:2020. Parameter GA yang digunakan adalah populasi POP_SIZE = 60 individu, generasi maksimum GENERATIONS = 80, laju mutasi MUTATION_RATE = 0,1, dan nilai penalti PENALTY = 1×10⁹ terhadap pelanggaran batasan. Hasil optimasi menunjukkan konfigurasi desain optimal dengan tebal plat 120 mm, diameter tulangan 10 mm, mutu beton 21 MPa, dan jarak tulangan 500 mm, menghasilkan biaya total Rp 3.207.451. Validasi kelayakan struktur membuktikan desain memenuhi persyaratan kekuatan lentur (KUAT) dan batas lendutan (LENDUTAN). Lima solusi terbaik GA menyajikan alternatif desain dengan rentang biaya Rp 3.207.451 hingga Rp 4.116.091. Dibandingkan dengan pendekatan konvensional, metode GA mampu menghasilkan penghematan biaya sebesar 3,0% terhadap desain dengan tebal 125 mm dan fc' 25 MPa, serta 3,2% terhadap desain dengan diameter tulangan 16 mm, tanpa mengorbankan keamanan struktur.
Implementasi SMARCOS: Smart Water Conditioning System Berbasis Web-IoT di Balai Benih Ikan Kecamatan Mijen Semarang Anan Nugroho; Mona Subagja; Syahroni Hidayat; Agung Budiwirawan; Ledi Diyanasari; Jhonatur Stheven Simanjuntak; Tri Agus Wahyudi; Akmal Fikri
Journal of Community Development Vol. 6 No. 1 (2025): August
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v6i1.1459

Abstract

Effective water quality management is crucial for fish hatcheries to ensure survival and productivity. At the Fish Hatchery Center (BBI) Cangkiran Mijen, water quality monitoring is still conducted manually, leading to unstable pond conditions. To improve monitoring efficiency, SMARCOS (Smart Water Conditioning System) was developed as a Web-IoT-based system for automated monitoring of water parameters such as pH, oxygen, and temperature. The program involved pond data collection, expert consultation, system design, testing, implementation, and partner training. Evaluation was conducted through satisfaction surveys and system performance monitoring. Results showed that SMARCOS effectively corrected water quality parameters automatically, enhanced monitoring efficiency, and provided easy access to information via an IoT-based website. Surveys indicated that partners were satisfied with the system’s usability. The adoption of IoT for water quality monitoring significantly improved the efficiency and accuracy of hatchery pond management. Training sessions also increased partner understanding of IoT technology. The success of SMARCOS demonstrates that IoT can be an innovative solution for fisheries modernization, with potential replication in other hatcheries to enhance productivity and efficiency in aquaculture.
Co-Authors Ahmad Faadhil Murtaza Akmal Fikri Anan Nugroho Jhonatur Stheven Simanjuntak Ledi Diyanasari Mona Subagja Syahroni Hidayat Tri Agus Wahyudi