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All Journal Jurnal Riset Informatika Jurnal AbdiMas Nusa Mandiri
Tyas Setiyorini
Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri
Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Environmental Science Mathematics Physics Social Sciences Other

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Implementasi Microsoft Publisher Dalam Peringatan Hari Besar Islam Pada Ikatan Remaja Masjid Al Muttaqin Pondok Jagung Tyas Setiyorini; Maryanah Safitri; Fitra Septia Nugraha; Siti Nurdiani
Jurnal AbdiMas Nusa Mandiri Vol 2 No 1 (2020): Periode April 2020
Publisher : LPPM Universitas Nusa Mandiri

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Abstract

Sejak berdirinya Masjid Al Muttaqin mempunyai Ikatan Remaja Al Muttaqin yang berdiri pada tanggal 17 November 1984. Saat ini mereka memiliki anggota sebanyak 50 orang. Dalam kegiatan-kegiatan tersebut tentunya tidak lepas dari pemasangan spanduk yang menggambarkan tema dari kegiatan yang mereka laksanakan. Spanduk-spanduk tersebut tentunya tidak dibuat sembarangan. Spanduk yang informatif, menarik dan kreatif sangat dibutuhkan untuk menunjang kegiatan mereka. Spanduk yang menarik dapat mengundang peserta atau pihak-pihak terkait untuk lebih antusias untuk ikut serta dalam kegiatan tersebut. Namun permasalahan yang terjadi mereka hanya mengandalkan pihak luar untuk membuat spanduk, dengan keterbatasan kreatifitas dan dana yang mereka miliki. Dalam mengatasi permasalahan tersebut mereka dapat memanfaatkan teknologi dengan menerapkan aplikasi Publisher. Tujuan dari adanya pelatihan ini mengembangkan kemampuan dan kreatifitas mereka dalam menerapkan aplikasi Microsoft Publisher.
COMPARISON OF LINEAR REGRESSIONS AND NEURAL NETWORKS FOR FORECASTING COVID-19 RECOVERED CASES Tyas Setiyorini; Frieyadie Frieyadie
Jurnal Riset Informatika Vol 4 No 3 (2022): Period of June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (870.043 KB) | DOI: 10.34288/jri.v4i3.409

Abstract

The emergence of the Covid-19 outbreak for the first time in China killed thousands to millions of people. Since the beginning of the emergence of the number of cases of Covid-19 continues to increase until now. The increase in Covid-19 cases has a very bad impact on health, social and economic life. The need for future forecasting to predict the number of deaths and recoveries from cases that occur, so that the government and the public can understand the spread, prevent and plan actions as early as possible. Several previous studies have forecast the future impact of Covid-19 using the Machine Learning method. Time series forecasting can be done using traditional methods with Linear Regression or Artificial Intelligent methods with neural networks. In this study, it has been proven that there is a linear relationship in the time series data of Covid-19 recovered cases in China, so it is proven that the performance of Linear Regression is better than the Neural Network.
Covid-19 Social Aid Admission Selection Using Simple Additive Weighting Method As Decision Support Tyas Setiyorini; Frieyadie Frieyadie; Aditiya Yoga Pratama
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.553

Abstract

The process of receiving Covid-19 social assistance to residents who are recorded as social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya area is still uneven. The second problem is that there is no particular mathematical calculation to determine the value of the weight of the criteria, especially for residents who are recorded as receiving Covid-19 social aid in the RT.007 RW.10 Kp. Sukapura Jaya area. The gradual decline in social aid programs so that the number that falls does not match the data of social aid recipients. This caused a polemic for RT administrators in distributing social aid programs. The decline in social aid programs does not match the number of citizens recorded. It overcomes citizens who cause social jealousy—analyzing the problems experienced by the RT management in the distribution of Covid-19 social assistance, especially the RT.07 RW.10 Kp. Sukapura Jaya area to residents who are recorded as recipients. Selecting Covid-19 social assistance recipients, especially in the RT.07 RW.10 Kp. Sukapura Jaya area. So the application of methods as decision support is needed, and it is needed to help determine the weight of particular criteria for citizens who are recorded as more in need. This study proposes a decision support method using the Simple Additive Weighting (SAW) method, which is expected to help decision-making in solving problems for selecting Covid-19 social aid recipients in the RT.07 RW.10 Kp. Sukapura Jaya community. The purpose of the study is to select residents who are recorded to receive social aid who are more in need first will get Covid-19 social aid.
Co-Authors Aditiya Yoga Pratama Fitra Septia Nugraha Frieyadie Maryanah Safitri Siti Nurdiani