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All Journal Majalah Ilmiah UPI YPTK Jurnal Komtekinfo
Shary Armonitha Lusinia
Universitas Putra Indonesia YPTK Padang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Peramalam Garis Kemiskinan menggunakan Metode Double Moving Average di Provinsi Sumatera Barat Nugraha Rahmansyah; Shary Armonitha Lusinia; Rima Liana Gema; Silky Safira
Majalah Ilmiah UPI YPTK Vol. 28 (2021) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v28i1.68

Abstract

Forecasting methods can predict the values ​​of a variable based on the known value of that variable or other related variables. In the quantitative category forecasting method, especially the time series model, several smoothing methods are known, namely average and exponential smoothing. A trended series is defined as a time series that contains a long-term component that represents growth or decline in the series, and whose average value changes up or down over a period of time. The average method is that a number of values ​​that are given an equivalent weight (or smoothed) are included in the calculation of the average. A double moving average, also known as a linear moving average, is designed for time series data with a trending pattern or a linear trend. The time series data used is poverty line data by area of ​​residence in West Sumatra based on the ability to meet basic needs (basic needs approach). With this approach, poverty is seen as an economic inability to meet basic food and non-food needs as measured from the expenditure side. So the poor are people who have an average monthly per capita expenditure below the poverty line. So that the double moving average time series method is used. This study aims to determine the monthly per capita public expenditure forecast in West Sumatra.
Perancangan Aplikasi Sistem Pendukung Keputusan Pemilihan Ikan Budidaya Air Tawar Menggunakan Metode Simple Additive Weight (Saw) Berbasis Web(Studi Kasus : Balai Perikanan Budidaya Air Tawar (Bpbat) Sungai Gelam Jambi) Vera Arnelis Syam; Randy Permana; Shary Armonitha Lusinia
Jurnal KomtekInfo Vol. 5 No. 1 (2018): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1039.178 KB) | DOI: 10.35134/komtekinfo.v5i1.15

Abstract

Saat ini banyak orang yang mulai memandang budidaya ikan air tawar sebagai mata pencaharian mereka. Dengan melakukan kegiatan budidaya, maka kebutuhan manusia akan ikan selalu tersedia sesuai permintaan. Pemilihan jenis ikan budidaya sangat penting untuk meningkatkan hasil panen dan mencegah gagal panen, sehingga lebih menguntungkan pembudidaya dalam membudidayakan ikan. Pemanfaatan sistem pendukung keputusan sangat membantu dalam pemilihan ikan terbaik untuk dibudidayakan berdasarkan kriteria yang telah ditentukan. Pada sistem pendukung keputusan ini menggunakan metode simple additive weight (SAW), metode ini dapat menyelesaikan penelitian dengan mencari nilai bobot untuk setiap kriteria, kemudian dilakukan proses ranking untuk menentukan alternatif terbaik. Hasil dari penelitian ini adalah terbentuknya sebuah aplikasi sistem pendukung keputusan pemilihan ikan budidaya air tawar, sehingga memudahkan calon pembudidaya untuk memilih jenis ikan yang akan dibudidayakan berdasarkan hasil pemeringkatan dari aplikasi ini.
The Analysis of the Determination of the Funding Bpbd Perdaerah using the Method of Mfep in West Sumatra Nugraha Rahmansyah; Shary Armonitha Lusinia
Jurnal KomtekInfo Vol. 6 No. 2 (2019): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (136.02 KB) | DOI: 10.35134/komtekinfo.v6i2.59

Abstract

A natural disaster is a disaster caused by event or series of events caused by nature, such as earthquakes, tsunamis, volcanic eruptions, floods, droughts, hurricanes, and landslides. In this case the action of handling and natural disaster management is the responsibility of the central government and local government. Data budget or funding indicative SKPD BPBD West Sumatra that has been composed must be as effective as possible in its distribution. With the use of information and communication technology can help in penentuaan funding in each area. This study analyzes the natural disasters that occurred in each region in West Sumatra to determine funding in tackling natural disasters. In this case, day this provide a solution to existing problems by creating a decision support system methods of Multifactor Evaluation Process (MFEP).
Penerapan Business Intelligence Dalam Upaya Menigkatkan Penjualan dan Pemasaran Pakaian Pada CV. Ryan Bali Garment Berbasis Web Wulan Ayu Safitri; Febri Hadi; Shary Armonitha Lusinia
Jurnal KomtekInfo Vol. 8 No. 4 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.375 KB) | DOI: 10.35134/komtekinfo.v8i4.178

Abstract

Sales and marketing on CV Ryan Bali Garment is a problem that needs serious attention. Seeing the increase in sales, there is no increase in the web-based system built with the help of Business Intelligence analysis in the hope of finding out where the problems are that have an impact on sales. The system built aims to increase sales and marketing. In this study, researchers conducted analysis and testing of problems that arise which resulted in decreased sales so that the owner can directly take action to increase sales and marketing in that place. So that the system that is built can be a solution to the problems obtained.
Co-Authors Febri Hadi Nugraha Rahmansyah Randy Permana Rima Liana Gema Silky Safira Vera Arnelis Syam Wulan Ayu Safitri