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All Journal POSITRON PRISMA FISIKA Jurnal Fisika Unand Jurnal Fisika FLUX EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Jurnal Ilmu dan Inovasi Fisika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Nurhasanah Nurhasanah
Universitas Tanjungpura
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology Mathematics Physics Other

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Identifikasi Kedalaman Lapisan Tanah Keras Menggunakan Metode Geolistrik Tahanan Jenis (Studi Kasus: Jalan Perdana Kota Pontianak) Masudi Masudi; Nurhasanah Nurhasanah; Muhardi Muhardi
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 5, No 1 (2021)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.786 KB) | DOI: 10.24198/jiif.v5i1.31227

Abstract

Identifikasi sebaran nilai tahanan jenis telah dilakukan di Jalan Perdana, Kelurahan Bansir Darat, Kecamatan Pontianak Tenggara, Kota Pontianak. Penelitian ini bertujuan untuk menentukan kedalaman lapisan tanah keras pada area lahan gambut. Pengambilan data dilakukan dengan menggunakan metode geolistrik tahanan jenis konfigurasi Wenner-Schlumberger. Penelitian ini mengaplikasikan 4 lintasan dengan panjang masing-masing 160 meter. Hasil penelitian menunjukkan bahwa sebaran nilai tahanan jenis pada lintasan 1 sebesar 1,89 – 120 Ωm,  pada lintasan 2 sebesar 1,38 – 140 Ωm, pada lintasan 3 sebesar 2,39 – 132 Ωm, dan pada lintasan 4 sebesar 1,15 – 101 Ωm. Berdasarkan batas antara lapisan tanah gambut dengan lapisan tanah keras, kedalaman lapisan keras berada di bawah lapisan gambut yang dinterpretasi sebagai lapisan lempung berpasir dan diprediksi berada pada kedalaman 3,5 – 12,4 meter.
Deteksi Dini Serangan Hama Penyakit pada Cabai Rawit Menggunakan Metode Image Recognition Suci Fitri Nazila; Yudha Arman; Dwiria Wahyuni; Nurhasanah Nurhasanah; Yoga Satria Putra
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6342

Abstract

The chili plant is one of the high economic value vegetable commodities which has the potential to continue to grow. On the other hand, this plant’s production still has obstacles such as pests and disease. Identifying the pest and diseases earlier is needed to protect against these problems. In this work, image recognition technology is applied to recognize the pest and diseases of the chili plant. First, the image of healty leaves and infected leaves by P. Latus, B. Tabaci, Gemini virus, and Cercospora sp are collected. The next step is image prepocessing, including cropping and resizing to make uniform image format and background removal to reduce background effects in image processing. Red-Green-Blue (RGB) input images are changed to grayscale images to give input one color channel. The images are extracted to get features using Gray Level Co-occurrence Matrix (GLCM) method. Extracted texture features involve contrast, correlation, energy, homogeneity, and dissimilarity with average angle values are 0°, 45°, 90° and 135°. Furthermore, all obtained features are classified into five classes using K-Means Clustering Algorithm. Extraction and segmentation results are used as parameters in the classification process using a Support Vector Machine (SVM). In this work, the result of this process is 82%.
ANALISA PRODUKSI REFUSE-DERIVED FUEL (RDF) DENGAN METODE BIODRYING DAN MEKANIKAL DARI SAMPAH MENGGUNAKAN SISTEM DINAMIS Budiyantoro, Wahyu; Hamzah, A. Hadian Pratama; Nurhasanah, .
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 24, No 2 (2024): Ekologia : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/ekologia.v24i2.10884

Abstract

Bandung Regency in 2023 built a TPST (Integrated Waste Management Site) with a capacity of 75 tons/day with the mechanical method "One Day Process" and a capacity of 20 tons/day with the biological method "Biodrying". The fact is that the capacity was not realized according to plan. This study is to evaluate the differences between the Biodrying and One Day One Process methods in producing RDF (Refuse Derived Fuel) and to compile a dynamic model of waste management through sustainable RDF. This study was conducted using a dynamic system using Powersim software with simulations from 2023 to 2024. Existing management was modeled and analyzed with a dynamic system. The results of the study showed that the biodrying method was superior to the capacity and quality of RDF products and had operational cost savings for electricity needs. The modeling results showed that the performance of waste management from 2023 to 2034 was only 10.35 tons/day for the one day one process method and 9.8 tons/day for the biodrying method, as a result, unmanaged waste increased every year. To maximize capacity, the Bandung Regency regional government needs to intervene with policy steps that support the sustainability of TPST.
Co-Authors Amanda, Ulvi Loly Andi Ihwan Asifa Asri Budiyantoro, Wahyu Dwiria Wahyuni Fajar Arianto Hamzah, A. Hadian Pratama Irfana Diah Faryuni Joko Sampurno Manurung, Martianus Masudi Masudi Mentarie Resthu Putri Muhardi Nurul Kusuma Wardhani Okto Ivansyah Perdhana, Radhitya Rika Katulistiyani Riza Adriat S Juari Saputro, Febriyanto Joko Sari, Kartika Kapuas Septiyani, Friescha Suci Fitri Nazila Yoga Satria Putra Yudha Arman