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All Journal SMATIKA Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Informatika Polinema (JIP)
Agung Nugroho Pramudhita
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science

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Implementasi Sistem Pendeteksi Tingkat Kematangan Buah Pepaya Menggunakan Metode RGB Krista Bella Dwi Rahayu Nur Widyasari; Ulla Delfana Rosiani; Agung Nugroho Pramudhita
SMATIKA JURNAL Vol 11 No 01 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i01.536

Abstract

To date, agriculture in Indonesia still uses a manual method to detect the ripeness of papaya fruits. Based on its characteristics, the source of the degree of fruit maturity is obtained from the raw, half ripe and ripe papaya fruit obtained from the farmer. Here after performing the implementation on the basis of the information obtained. To measure the logic for detecting the degree of fruit maturity, the RGB method here will be used. In accordance with what is needed, the results of the implementation itself should function well. Based on the calculation of the accuracy obtained on the system that was made it reached 50%.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN LOKASI PEMBANGUNAN PETERNAKAN AYAM MENGGUNAKAN METODE MOORA Eka Larasati Amalia; Agung Nugroho Pramudhita; M Ridlwan Aditya
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 13 No 1 (2019): Mei 2019
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.847 KB) | DOI: 10.35457/antivirus.v13i1.715

Abstract

This study aims to help beginner farmers to determine the location of the chicken farm construction using the MOORA method. The location factor for determining chicken farms is one of the important factors, because if the farm location is close to the highway, then the chicken will be exposed to transportation noise and easily stressed, but vice versa if the chicken farm is close to the cutting or sales location such as the market, the transportation costs will be relatively cheaper. The MOORA method has simple and stable mathematical calculations. MOORA method has the right mathematical calculation results in making a decision. The MOORA method has advantages over other methods, which are simpler and easier to implement. The level of selection in the MOORA method which is quite good can decide on an alternative solution in a problem.
Analisis Peramalan Peluang Bisnis Tanah Menggunakan Metode Double Exponential Smoothing: (Studi Kasus: PT Jaya Nasional Famili pada Kota Malang) Muhammad Haidar Hammam; Eka Larasati Amalia; Agung Nugroho Pramudhita
Jurnal Informatika Polinema Vol. 7 No. 3 (2021): Vol 7 No 3 (2021)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v7i3.442

Abstract

PT. JNF is a company engaged in Engineering, Construction, and Project Management, located in South Jakarta. This company wants to develop its business by building housing in the city of Malang, to be precise in the Kedungkandang and Lowokwaru districts. The company needs some data and information about population density and land prices in the area to help the process of their project work. Providing information on data and forecasting results about population density and land prices in the area will help companies facilitate business development. Therefore, companies need an information system that can predict population density data and land prices in Kedungkandang sub-district and Lowokwaru sub-district, which functions to help companies see land business opportunities in Malang for housing development. The method used to make this system is the Double Exponential Smoothing method, because this method has a trend pattern that matches the data pattern of the object to be predicted. The data used are data from 2005 - 2018. The result of population density forecasting for Lowokwaru sub-district is 8713.98 and has a MAPE value of 1.39%, for Kedungkandang sub-district is 4949.07 and has a MAPE value of 2.55%, for the land price of Lowokwaru sub-district is 2777725.18 and has a MAPE value of 3.45 % and Kedungkandang sub-district is 1766560.27 and has a MAPE value of 8.36%. Based on the calculation of the MAPE value the results of the forecast above, it can be concluded that if the greater the constant value, the lower the MAPE value, the best constant value is between 0.6 - 0.9. The land business opportunity in Lowokwaru and Kedungkandang sub-districts is high based on the forecasting results of population density and land prices which tend to increase every year and the land business opportunity value based on ROI (Return of Investment) for the company is 0.38% of the initial capital. Keywords: information systems, forecasting, land business opportunities, land prices, population density, double exponential smoothing.
Sistem Informasi Peramalan Jumlah Pengunjung Menggunakan Metode Double Exponential Smoothing (Studi Kasus Body Gym Kota Malang) Muhammad Hafidz Ilham Priambudi; Eka Larasati Amalia; Agung Nugroho Pramudhita
Jurnal Informatika Polinema Vol. 7 No. 1 (2020): Vol 7 No 1 (2020)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v7i1.431

Abstract

Sistem informasi ini digunakan untuk melakukan kegiatan sehari-hari di Body Gym Malang dimana prosesnya yang saat ini masih menggunakan cara manual dan memerlukan waktu yang membuatnya tidak efisien. Hal ini yang menjadikan diperlukannya sistem yang mampu mengolah data dengan komputerisasi. Dari permasalahan diatas, penulis membuat sebuah sistem informasi dalam bentuk website yang memiliki fitur untuk mengatur keseluruhan informasi di website tersebut. Sistem ini diharapkan dapat membuat pemilik dan karyawan tempat fitness tersebut agar bisa lebih efektif untuk melakukan kegiatan sehari-hari. Sistem informasi ini memiliki fitur untuk pencatatan keuangan, menunjukkan grafik pendapatan, pencatatan jumlah pengunjung, request PT, dan report untuk data. Sistem informasi ini juga dilengkapi fitur utama, yaitu dapat meramalkan jumlah pengunjung fitness, zumba, dan aerobik menggunakan metode Double Exponential Smoothing dan dapat mengeluarkan rekomendasi untuk pemilik tempat gym. Data yang digunakan untuk meramalkan jumlah pengunjung fitness yaitu data aktual dari tahun 2015 hingga 2019. Dari hasil perhitungan data pengunjung fitness menggunakan konstanta 0,06 dihasilkan hasil peramalan sebanyak 1879 orang pengunjung di Bulan Desember 2019 dimana hasil tersebut merupakan hasil yang paling baik setelah dihitung dengan error MAPE sebesar 11,64% dan dengan akurasi ketepatan sebesar 88,36%. Sedangkan untuk fitur kegiatan yang lainnya, aplikasi website ini sudah memiliki fitur yang cukup lengkap dan sesuai dengan fungsinya setelah dilakukan pengujian sistem dan user untuk melakukan kegiatan sehari-hari dengan terkomputerisasi.
Co-Authors Amalia, Eka Larasati Eka Larasati Amalia Krista Bella Dwi Rahayu Nur Widyasari M Ridlwan Aditya Muhammad Hafidz Ilham Priambudi Muhammad Haidar Hammam Rosiani, Ulla Delfana