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All Journal Prosiding Seminas Competitive Advantage Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Optimasi Sistem Industri Jurnal Edukasi dan Penelitian Informatika (JEPIN) Prosiding Semnastek Jurnal Ilmiah Teknik Industri Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Prosiding Seminar Nasional Pakar Jurnal ULTIMATICS Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Teknik Industri Abdimas Universal Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Proceeding ISETH (International Summit on Science, Technology, and Humanity) Jurnal AKAL: Abdimas dan Kearifan Lokal JURNAL TEKNIK INDUSTRI JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) Literasi: Jurnal Pengabdian Masyarakat dan Inovasi
Dedy Sugiarto
Universitas Trisakti
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

 1 
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
Uji Validasi Algoritme Self-Organizing Map (SOM) dan K-Means untuk Pengelompokan Pegawai Titik Susilowati; Dedy Sugiarto; Is Mardianto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (690.784 KB) | DOI: 10.29207/resti.v4i6.2492

Abstract

Managing employee work discipline needs to be done to support the development of an organization. One way to make it easier to manage employee work discipline is to group employees based on their level of discipline. This study aims to group employees based on their level of discipline using the Self Organizing Map (SOM) and K-Means algorithm. This grouping begins with collecting employee attendance data, then processing attendance data where one of them is determining the parameters to be used, then ending by implementing the clustering algorithm using the SOM and K-Means algorithms. The results of grouping that have been obtained from the implementation of the SOM and K-Means algorithms are then validated using an internal validation test consisting of the Dunn Index, the Silhouette Index and the Connectivity Index to obtain the best number of clusters and algorithms. The results of the validation test obtained 3 best clusters for the level of discipline, namely the disciplinary cluster, the moderate cluster and the undisciplined cluster.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Rochman Abdul Rochman Ahmad Zuhdi AINUL YAQIN Alya Shafa Nadia Annisa Dewi Akbari Anung B Ariwibowo Anung B. Aribowo Arviandri Naufal Zaki Ashari, Krisna Aditama Azhar Rizki Zulma Betha Ariandini Binti Solihah Chani Anugerah Cicilia Puji Rahayu Dadan Umar Daihani Dadan Umar Daihani Dadang Surjasa, Dadang Dara Mustika Dimmas Mulya Dita Mayasai Dorina Hetharia Dorina Hetharia Dorina Hetharia Elfira Febriani Elita Wahyu Firdasari Ema Utami Emelia Sari Farhan Hashfi Febriana Lestari Fitria Nabilah Putri Gatot Budi Santoso Grace Listiani Gunawan, Muhamad Ichsan Habyba, Anik Nur Ida Jubaedah Ida Jubaidah Idriwal Mayusda Illah Sailah Indah Permata Sari Is Mardianto Is Mardianto Is Mardianto Is Mardianto, Is Iveline Anne Marie Iveline Anne Marie Iwan Purwanto Jeany Fadhilah Agatha Siahaan Johnson Saragih Khoirun nisa Krisna Aditama Ashari Lukmanul Hakim Lukmanul Hakim M Syamsul Ma’arif Marie, Iveline Anne Marimin . Marimin Marimin Muhamad Ichsan Gunawan Muhamad Ichsan Gunawan Muhammad Hidayat Tullah Muhammad Ichsan Gunawan Muhammad Taufiq Noufal Zhafira Nurlailah Badariah PUDJI ASTUTI Putri Shan ASP Randy Andy Ratna Mira Yojana Ratna Mira Yojana Ratna Shofiati Ratna Shofiati Ratna Shofiati Rianti Dewi Sulamet-Ariobimo Ricky Saputera Ridho Rachmat Giffary S. Dewayana, Triwulandari Steven Sen Suharto Honggokusumo Sukardi Sukardi Syandra Sari Syandra Sari Syandra Sari Tasya Aulia Teddy Siswanto Teddy Siswanto Tiena Gustina Amran Tiena Gustina Amran Titik Susilowati Titik Yusrini Triwulandari S Dewayana Triwulandari S. Dewayana Triwulandari Satitidjati Dewayana Viera Astry Wawan Kurniawan Winnie Septiani Winnie Septiani Winnie Septiani Yuli Kurnia Ningsih