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All Journal International Journal of Artificial Intelligence Research International Research on Big-data and Computer Technology (IRobot)
Saputri, Tri Aristy
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Computer Science & IT Electrical & Electronics Engineering

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ANALISIS VISUAL PERBANDINGAN PERTUMBUHAN PENDUDUK BERDASARKAN JENIS KELAMIN DI SETIAP KECAMATAN KOTA METRO Saputri, Tri Aristy; Ajiz, Allien Mostiara Rachman; Febritama, Dani; Sulistiyanto, Sulistiyanto
International Research on Big-Data and Computer Technology: I-Robot Vol 9, No 1 (2025): April
Publisher : UNIVERSITAS DHARMA WACANA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53514/ir.v9i1.576

Abstract

Penelitian ini bertujuan untuk menganalisis dan memvisualisasikan perbandingan pertumbuhan penduduk berdasarkan jenis kelamin di setiap kecamatan di Kota Metro. Data pertumbuhan penduduk yang tersedia dianalisis untuk mengidentifikasi pola dan tren demografis yang ada, dengan fokus pada perbedaan jumlah penduduk laki-laki dan perempuan dari tahun ke tahun. Dalam penelitian ini, digunakan metode visualisasi data agar dapat menyajikan informasi secara efektif dan jelas dalam bentuk grafik dan diagram yang memudahkan pemangku kepentingan dalam memahami data secara cepat dan tepat. Visualisasi data ini bertujuan untuk mendukung perencanaan kebijakan yang lebih baik, dengan memberikan gambaran yang lebih terstruktur dan mudah diakses terkait dinamika pertumbuhan penduduk. Hasil penelitian menunjukkan bahwa visualisasi data dapat mempercepat pemahaman mengenai perbandingan pertumbuhan penduduk berdasarkan jenis kelamin dan memberikan kontribusi penting dalam pengambilan keputusan kebijakan berbasis data di tingkat kecamatan. Penelitian ini diharap mampu menjadi referensi pengembangan analisis data demografis dan implementasi visualisasi data dalam perencanaan pembangunan daerah.
IoT-Based Monitoring for Optimizing Yield of Gogo Rice (Oryza sativa, L.) Handayani, Etik Puji; Saputri, Tri Aristy; Sutomo, Budi
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1677

Abstract

Advancements in Internet of Things (IoT) technology have introduced new opportunities in precision agriculture, particularly for enhancing the productivity of upland rice (Oryza sativa, L.) cultivated on marginal lands. This study aims to integrate an IoT-based monitoring system with the application of biochar and Trichoderma harzianum to optimize soil parameters and water resource efficiency. The monitoring system utilizes Trico Master and Slave devices to measure real-time environmental parameters, including soil pH, soil moisture, soil temperature, and air temperature. The results reveal that the application of biochar at a dosage of 1 kg/m² increased soil pH from an average of 7.0 to 8.7, creating a conducive environment for the activity of Trichoderma harzianum. This microorganism demonstrated its ability to improve soil quality by decomposing organic matter and enhancing nutrient absorption by plants. Additionally, the IoT-based automated irrigation system maintained soil moisture levels above 45% while reducing water usage by up to 30% compared to manual irrigation methods. In conclusion, the integration of IoT technology with biochar and Trichoderma harzianum significantly improved upland rice yield, resource efficiency, and the sustainability of agricultural systems. This study presents an innovative and sustainable approach to supporting future food security, particularly in resource-limited environments
Co-Authors Ajiz, Allien Mostiara Rachman Budi Sutomo, Budi Febritama, Dani Handayani, Etik Puji Sulistiyanto Sulistiyanto, Sulistiyanto