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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jiko (Jurnal Informatika dan komputer) JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA
Abdul Rochman
Universitas Trisakti
Humanities Computer Science & IT Education Engineering Environmental Science Social Sciences

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Perbandingan Peramalan Harga Beras Menggunakan Metode ARIMA pada Amazon Forecast dan Sagemaker Is Mardianto; Muhamad Ichsan Gunawan; Dedy Sugiarto; Abdul Rochman
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.063 KB) | DOI: 10.29207/resti.v4i3.1902

Abstract

Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company of Cipinang Rice Main Market every day publishes data on price, type of rice and the amount of rice that enters and exits Jakarta area. This study aims to forecast rice prices in the Jakarta area using data held by PT FoodStation during the 2016-2018 data period. Rice price prediction is carried out for the next 30 days using the Auto Regressive Integrated Moving Average (ARIMA) method on the Amazon Forecast and Amazon Sagemaker platforms. The ARIMA model is a form of regression analysis that measures the strength of one dependent variable that is relatively influential on other change variables. The ARIMA model is a special type of regression model in which the dependent variable is considered stationary and the independent variable is the lag or previous value of the dependent variable itself and the error lag. ARIMA is a combination of auto-regressive and moving average processes. The final result obtained in this experiment is that the ARIMA model on Amazon Sagemaker cloud computing is superior when compared to Amazon Forecast. From the experimental results obtained the results of Amazon Sagemaker RMSE (313.379941) are smaller than Amazon Forecast (322.4118029). So it can be concluded that the ARIMA model run at Amazon Sagemaker is more accurate than Amazon Forecast for forecasting the price of rice for 30 days at the Cipinang Rice Main Market
PERANCANGAN WEB DEFACEMENT MONITORING DENGAN MENGGUNAKAN METODE KOMPARASI NILAI HASH1 Nurina Indah Septiani; Agung Sediyono; Abdul Rochman
Jurnal Informatika dan Komputer Vol 5, No 2 (2022)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v5i2.4852

Abstract

Laman website merupakan sarana penyampaian informasi penting bagi sebuah perusahaan. Untuk itu perlu dijaga keutuhannya dari segala usaha perubahan informasi. Salah satu yang sering terjadi adalah Web Defacement.  Saat ini pemantauan masih dilakukan secara manual dan pendeteksian perubahan tampilan dari halaman website tidak diketahui secara cepat. Supaya kerusakan informasi dapat diperbaiki dalam waktu singkat diperlukan Web Defacement Monitoring (WDM). Penelitian ini mengusulkan pembuatan aplikasi WDM dengan menggunakan metoda Komparasi Nilai Hash SHA1. Aplikasi ini dapat mendeteksi adanya perubahan tampilan visual pada konten text dalam halaman website. Sebagai tindakan perlindungan atas serangan keamanan informasi dari web defacement, perlu dilakukan pemantauan tampilan dari halaman website pada sistem aplikasi. Hasil percobaan menunjukan aplikasi ini mampu mendeteksi sekecil apapun perubahan text yang ada pada laman website.
PELATIHAN INTERNET SEHAT: KEPEDULIAN DIRI AKAN KEAMANAN INFORMASI Agung Sediyono; Is Mardianto; Muhammad Najih; Gatot Budi Santoso; Abdul Rochman
JUARA: Jurnal Wahana Abdimas Sejahtera Volume 2, Nomor 1, Januari 2021
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1120.99 KB) | DOI: 10.25105/juara.v2i1.7485

Abstract

Internet and social media usage in daily activities is continuously increasing. UKM gets the benefit of information technology to increase its sale through scale up the marketing target in order to increase its revenue. However, most of UKM are worry about the risk in using information technology in their daily activities, such as cyber fraud and stealing their private data and their identities. To overcome these problems, it needs to design training materials that can reduce theirs worry in using information technology. Designed training material based on problem faced by training participants can satisfy and give a benefit to participants even though the instructor delivery and response is not good.
Co-Authors Agung Sediyono Dedy Sugiarto Is Mardianto Muhamad Ichsan Gunawan Muhammad Najih Nurina Indah Septiani Santoso, Gatot Budi