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THE DIVERSITY OF BUTTERFLY IN AIR DINGIN LANDFILLS, BALAI GADANG, PADANG CITY Leila Muhelni; Hendra Anwar
BERITA BIOLOGI Vol 19, No 2 (2020)
Publisher : Research Center for Biology-Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/beritabiologi.v19i2.3788

Abstract

The study of butterfly in the in Air Dingin Landfills needs to be carried out to find out what types of butterflies are in this area and how their diversity is, given the increasing area of Landfills that will change the surrounding environment into a place of rubbish heap. The study was conducted by implementing survey method with insect net. The collection of butterflies was carried out in 2 periods (2x6 = 12 days) in April-June 2019 during sunny weather from 09:00 – 12:00 of Western Indonesian Time. All butterflies were collected at ±5 m distance from the collector. The data was analysed to calculate abundance, relative abundance, frequency of the presence of butterfly, and determine diversity was conducted by using the Shannon-Wiener Index and Evenness index. The results obtained 5 families, 14 genera, 22 species, and 220 individuals consisting of 122 males and 98 females. The diversity index value obtained was 2.27 and categorised as the medium category it is mostly because, as assumed, the environmental conditions of the Air Dingin Landfills were still in good condition. 
PENERAPAN DATA MINING PEMASARAN PRODUK MENGGUNAKAN METODE CLUSTERING Melladia Melladia; Dian Eka Putra; Leila Muhelni
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.458

Abstract

This study aims to build a data mining application that is able to classify products marketed by companies to find out the products needed for the following month. This application groups non-hierarchical data which is designed to divide existing data into two or more groups so that the same data can be entered into other groups. In this study, the data used is data from PT Cipta Niaga Semesta Mayora Group and the method used is clustering. Data mining is computer-based data processing to gain knowledge. By using data mining, processing sales data at PT Cipta Niaga Semesta Mayora Group becomes easier and gains useful knowledge to take steps to face competition. For this reason, the company's management foresight is needed in choosing technology to help work so that the costs incurred are proportional to the company's opinion. The development of this framework is completed through several stages starting with the first data collection, followed by the second stage of application design, the third stage of the four stages of program development and program implementation. Using data mining applications can help PT Cipta Niaga Semesta categorize the products it sells so that the company can predict the product inventory needed for the following month. So with the new information the company can find out what products customers want.
Inventarisasi Kupu-Kupu (Rhopalocera) pada Kawasan Tempat Pembuangan Akhir (TPA) Air Dingin, Balai Gadang, Kota Padang Indah Febri Annisa; Radiswan Pasaribu; Leila Muhelni
Biosfer : Jurnal Biologi dan Pendidikan Biologi Vol. 7 No. 2 (2022): BIOSFER: Jurnal Biologi dan Pendidikan Biologi
Publisher : Program Studi Pendidikan Biologi, FKIP Unpas,

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/biosfer.v7i2.6884

Abstract

Abstrak Penelitian kupu-kupu di Sumatra Barat masih belum banyak dilakukan. Khususnya pada kawasan Tempat Pembuangan Akhir (TPA) Air Dingin yang berfungsi sebagai tempat timbulan sampah 400-450 ton/hari. Sehingga penelitian ini perlu dilakukan untuk mengetahui jenis kupu-kupu apa saja yang ada di kawasan ini mengingat semakin luasnya area TPA yang akan merubah lingkungan disekitarnya menjadi tempat timbulan sampah. Penelitian dilakukan menggunakan metode survey dengan jala serangga (insect net). Pengoleksian kupu-kupu dilakukan 2 periode (2x6=12 hari) pada bulan April-Juni 2019 pada saat cuaca cerah dari pukul 09.00 – 12.00 WIB. Semua kupu-kupu dikoleksi dengan jarak ± 5 m dari kolektor. Hasil penelitian didapatkan 5 famili, 14 genera, 22 spesies dan 218 individu. Kata Kunci: Kupu-Kupu (Rhopalocera), Lepidoptera, TPA Air Dingin Abstract Butterflies research in West Sumatra is still not much done. Especially in the Final Disposal Site (FDS) in Air Dingin area which functions as a place for waste generation of 400-450 tonnes/day. So this research needs to be done to find out what types of butterflies exist in this area considering that the increasingly large landfill area will change the surrounding environment into a place for waste generation. The research was conducted using a survey method with insect nets. Butterfly collection was carried out in 2 periods (2x6=12 days) in April-June 2019 when the weather was sunny from 09.00 – 12.00 of Western Indonesian Time. All butterflies were collected within ± 5 m from the collector. The results obtained 5 families, 14 genera, 22 species and 218 individuals. Keywords: Butterfly (Rhopalocera), Lepidoptera, TPA Air Dingin