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All Journal Jurnal Teknologi Industri Pertanian Jurnal Bahana Manajemen Pendidikan Prosiding Seminas Competitive Advantage Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Speed - Sentra Penelitian Engineering dan Edukasi Sinergi 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 QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT 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 Intelmatics Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Kepada Masyarakat Radisi
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 Languange, Linguistic, Communication & Media 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 Ainul Yaqin Aji Saputra, Aji Annisa Dewi Akbari, Annisa Dewi Anung B Ariwibowo Anung B. Aribowo Ariwibowo, Anung B Ariwibowo, Anung B. Arviandri Naufal Zaki Ashari, Krisna Aditama Azhar Rizki Zulma Betha Ariandini Binti Solihah Chani Anugerah Cicilia Puji Rahayu Dadan Umar Daihani Dadang Surjasa, Dadang Dara Mustika Dewayana, Triwulandari Satitidjati Dimmas Mulya Dita Mayasai Dorina Hetharia Dorina Hetharia Elfira Febriani Ema Utami Emelia Sari Faiz Kumara Fajar Anzari Farhan Hashfi Febriana Lestari Firdasari, Elita Wahyu Fitria Nabilah Putri Gatot Budi Santoso Grace Listiani Gunawan, Muhamad Ichsan Gunawan, Muhammad Ichsan Habyba, Anik Nur Harahap, S.TP, M.Si, Elfira Febriani Ida Jubaedah Ida Jubaidah Idriwal Mayusda Ilham, Moch Ilham A Illah Sailah Indah Permata Sari Is Mardianto Is Mardianto Is Mardianto Is Mardianto, Is Iveline Anne Marie Iwan Purwanto Jeany Fadhilah Agatha Siahaan Jeany Fadhilah Agatha Siahaan Johnson Saragih Khoirun nisa Kresna, I Nyoman Krisna Aditama Ashari Lukmanul Hakim Lukmanul Hakim M Arya Octavianus M Syamsul Ma’arif Marimin , Martino Luis Mohamad Dimas Budisantoso Muhamad Ichsan Gunawan Muhamad Ichsan Gunawan Muhamad Ichsan Gunawan Muhammad Hidayat Tullah Muhammad Rizky Fadila Afgan Nadia, Alya Shafa Nita Chairunnisa Noufal Zhafira Novenia Eka Warestika Nur Hadi Nurachman, Nurochman Nurlailah Badariah Octavianus, M Arya PUDJI ASTUTI Randy Andy Ratna Mira Yojana Ratna Shofiati Ratna Shofiati Reyhan Dwi Putra Reyhan Dwi Putra Rianti Dewi Sulamet-Ariobimo Ricky Saputera Ridho Rachmat Giffary Rina Fitriana Rina Fitriana, Rina S. Dewayana, Triwulandari Sari, Debby Kumala Sari, Syandra Setiawan, Ibnu Fajar Shabrina Teruri Shan ASP, Putri Shan, Putri Steven Sen Suharto Honggokusumo Sukardi Sukardi Syandra Sari Syandra Sari Syandra Sari Tamaulina Br Sembiring Tasya Aulia Teddy Siswanto Teddy Siswanto Teddy Siswanto Teddy Siswanto Teddy Siswanto, Teddy Tiena Gustina Amran Tiena Gustina Amran Titik Susilowati Titik Yusrini Triwulandari S Dewayana Triwulandari Satitidjati Dewayana Triwulandari Satitidjati Dewayana Viera Astry Wahyu Hidayat Wahyu Hidayat wahyuni wahyuni Wawan Kurniawan Wilda Anggriani Winnie Septiani Winnie Septiani Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Winona, Aisyah Vasthi Yojana, Ratna Mira Yuli Kurnia Ningsih Zhafira, Noufal