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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) JOIV : International Journal on Informatics Visualization Informasi Interaktif DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Informatika Polinema (JIP) Jurnal Pengabdian Kepada Masyarakat
Arie Rachmad Syulistyo
Politeknik Negeri Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : Informasi Interaktif

 1 
PEMETAAN DENGAN QGIS DAN PERHITUNGAN KORELASI FAKTOR YANG MEMPENGARUHI HASIL PRODUKSI PERTANIAN DENGAN PEARSON CORRELATION Arie Rachmad Syulistyo; Milyun Ni’ma Shoumi
Informasi Interaktif Vol 6, No 1 (2021): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

 Food affects the nation stability. The Indonesian government strive continually to maintain food security in the form of policies and research in the agricultural sector. In line with the government's vision and mission, this research was conducted to map and study the relationship between soil conditions, irrigation areas, and harvested areas with corn, soybean and rice yields that can be used to support policy making. Based on the experiment results obtained several factors that influence crop yields, namely soil conditions, weather, and area of harvest. Mapping was done using Quantum GIS (QGIS) and correlation calculations performed using pearson correlation. Based on the analysis result of soil types, temperature and soil area affect crop yields with the highest value of 0.99. The correlations analyzed were the correlation between yield and rice temperature and the correlation between rice yield and cultivated area.Keywords: QGis, food security,pearson correlation.
ANALISIS RESIKO KANKER PAYUDARA (BREAST CANCER) MENGGUNAKAN FUZZY INFERENCE SYSTEM (FIS) MODEL MAMDANI Milyun Ni’ma Shoumi; Arie Rachmad Syulistyo
Informasi Interaktif Vol 6, No 1 (2021): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

Breast cancer is a type of malignant cancer, in which cells form in the breast tissue, and is the most common type of cancer - apart from skin cancer - and is ranked second (after lung cancer) the type of cancer that causes death. Every year thousands of people die from cancer due to limited medical resources and the inability of society to use existing information sources effectively. The most efficient way and one of the means of protection against breast cancer is early diagnosis. In this study, a system to analyze the risk of breast cancer was developed using the Mamdani model of Fuzzy Inference System (FIS). By using 6 input variables, the developed Mamdani FIS is able to produce an accuracy of 85% with 20 data used.  Keywords: cancer, breast cancer, fuzzy inference system,,fuzzy logic, Mamdani model.
Co-Authors Adi Wibowo Annisa Puspa Kirana Arwin Datumaya Wahyudi Sumari Astiningrum, Mungki Aura Kanza Caesaria Budiprasetyo, Gunawan Dwi Marhaendro Jati Purnomo Dwi Puspitasari Firdani Rianda Putra Luqman Affandi Luqman Affandi M. Alfin Zakariya Mamluatul Hani’ah Mawarni, Putri Indah Muhammad Febrian Rachmadi Mustika Mentari Putra, Firdani Rianda Ratsanjani, Muhammad Hasyim Ridwan Rismanto Rokhimatul Wakhidah Rosa Andrie Asmara Shoumi, Milyun Ni’ma Ulla Delfana Rosiani Vira Meliana Agustin Zakariya, M. Alfin