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All Journal Infotech Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCEEDING STIMA SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Ardi Mardiana
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Computer Science & IT Control & Systems Engineering Education Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Journal : PROCEEDING STIMA

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ANALISIS DAN PEMODELAN SIMULASI DAMPAK LINGKUNGAN PENAMBANGAN BATU ANDESIT MENGGUNAKAN METODE SISTEM DINAMIK (Studi Kasus : Penambangan Batu Andesit di desa Salawangi Kecamatan Bantarujeg Kabupaten Majalengka) Nisa Farhatunnisa; Deffy Susanti; Ardi Mardiana
PROCEEDING STIMA PROCEEDING STIMA 2.0
Publisher : PROCEEDING STIMA

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Abstract

The existence of a stone quarry project area will affect the surrounding environment of a region. In addition due to the damage to the road infrastructure, the activities of the miners who perform processes like mine, the waste rock fragments, erosion, fresh water resources is reduced, etc., which will continue to accumulate in accordance with the development of the population the number of rock miners, the activities of miners and environmental components. A similar condition is the presence of stone mining project located in the Village District of Bantarujeg Salawangi. This study uses a matrix ofLeopold to identify the state of the initial environmental setting in the village, through the interview method. Further research conducted by the dynamic simulation modeling approach that provides comprehensive results that the project area will be undergoing expansion by utilizing the andesite quarry material which is influenced by population number of miners, mining project activity. The role of government to improve the condition shown by increased supervision and counseling, the environmental impact can be minimized. This simulation uses a span of 10 years. Simulations using the Ventana Simulation Software PLE x32.Keywords: Matrix Leopold, Mining Project, Dynamic Simulation Modeling, Simulation Software Ventana PLE x32.
PENERAPAN ALGORITMA K-MEANS UNTUK CLUSTERING PENENTUAN JURUSAN BAHASA MANDARIN GERMAN DAN PRANCIS Ardi Mardiana
PROCEEDING STIMA PROCEEDING STIMA 2.0
Publisher : PROCEEDING STIMA

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Abstract

Grouping language department based on academic data using clustering techniques and create applications then analyze the results that are expected to provide the information concerned. K-Means algorithm is a clustering algorithm technique that starts with a random selection of K, which is the number of clusters to be formed from the data to be in clusters, namely student test scores when entering the majors language. System created to show the results of student academic data clustering, ie the pattern of student achievement lusternya remain, down and up, and can be seen from the data value of the test results. From the results of the case study can be obtained information of students who remain in clusters such as early admission, students who ride down clusters and clusters of students.Keywords : clustering, Algoritma K-Means.
Co-Authors Ade Bastian Asep Rachmat Azizah Nurzakiyah Budiman Budiman Deffy Susanti Elawati Enceng Enda Suhada Fauzan Faturahman Azkia Ii Sopiandi, Ii Iis Caswini Muhammad Fahmi Ajiz Muhammad Rifki Nisa Farhatunnisa Nunu Nurdiana Satria Winata