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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik ITS IPTEK Journal of Proceedings Series Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Journal of Animation & Games Studies Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Teknologi dan Sistem Komputer Knowledge Engineering and Data Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CYCLOTRON Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JAVA Journal of Electrical and Electronics Engineering Indonesian Journal of Electrical Engineering and Computer Science JAREE (Journal on Advanced Research in Electrical Engineering) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Sewagati
Supeno Mardi Susiki Nugroho, Supeno Mardi
Departemen Teknik Komputer Institut Teknologi Sepuluh Nopember
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Peramalan Pencemaran Udara Di Kota Surabaya Menggunakan Metode DSARIMA dengan Pendekatan Percentile Error Bootstrap (PEB) Koesoemaningroem, Novi; Endroyono, Endroyono; Nugroho, Supeno Mardi Susiki
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 5: Oktober 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021855216

Abstract

Peramalan pencemaran udara yang  akurat  diperlukan untuk mengurangi dampak pencemaran udara. Peramalan yang belum akurat akan berdampak kurang efektifnya tindakan yang dilakukan untuk mengantisipasi dampak pencemaran udara. Sehingga diperlukan sebuah pendekatan yang dapat mengetahui keakuratan plot data hasil peramalan. Penelitian ini dilakukan dengan tujuan melakukan peramalan pencemaran udara berdasarkan parameter PM10, NO2, CO, SO2, dan O3dengan metode DSARIMA. Data dalam penelitian ini sebanyak 8.760 data yang berasal dari Dinas Lingkungan Hidup Kota Surabaya. Berdasarkan hasil peramalan selama 168 jam kadar parameter PM10, NO2, SO2 dan O3 cenderung  menurun. Hasil peramalan selama 168 jam dengan menggunakan DSARIMA memberikan hasil peramalan yang nilainya mendekati data aktual terbukti dari polanya yang sesuai atau mirip dengan grafik plot data aktual dengan hasil ramalan. Dengan pendekatan PEB, selisih antara data aktual dan data ramalan kecil dan plot grafik PEB mengikuti plot grafik di data aktual, sehingga dapat dikatakan bahwa model sudah sesuai. Hasil akurasi terbaik yang dihasilkan adalah model DSARIMA dengan RMSE terkecil 0,59 didapatkan dari parameter CO yaitu ARIMA(0,1,[1,2,3])(0,1,1)24(0,1,1)168. AbstractAccurate air pollution forecasting is needed to reduce the impact of air pollution. Inaccurate forecasting will result in less effective actions taken to anticipate the impact of air pollution. So we need an approach that can determine the accuracy of the forecast data plot. This research was conducted with the aim of forecasting air pollution based on the PM10, NO2, CO, SO2, and O3 parameters using the DSARIMA method. The data in this study were 8.760 data from the Surabaya City Environmental Service. Based on the results of forecasting for 168 hours, the levels of PM10, NO2, SO2, and O3 parameters tend to decrease. Forecasting results for 168 hours using DSARIMA provide forecasting results whose values are close to the actual data as evidenced by the pattern that matches or is similar to the actual data plot graph with the forecast results. With the PEB approach, the difference between the actual data and the forecast data is small and the PEB graph plot follows the graph plot in the actual data, so it can be said that the model is appropriate. The best accuracy result is DSARIMA with the smallest RMSE 0,59 obtained from the CO parameter, namely ARIMA(0,1,[1,2,3])(0,1,1)24(0,1,1)168.  
Market Basket Analysis to Identify Customer Behaviorsby Way of Transaction Data Kurniawan, Fachrul; Umayah, Binti; Hammad, Jihad; Nugroho, Supeno Mardi Susiki; Hariadi, Mochammad
Knowledge Engineering and Data Science
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Transaction data is a set of recording data result in connections with sales-purchase activities at a particular company. In these recent years, transaction data have been prevalently used as research objects in means of discovering new information. One of the possible attempts is to design an application that can be used to analyze the existing transaction data. That application has the quality of market basket analysis. In addition, the application is designed to be desktop-based whose components are able to process as well as re-log the existing transaction data. The used method in designing this application is by way of following the existing steps on data mining technique.The trial result showed that the development and the implementation of market basket analysis application through association rule method using apriori algorithm could work well. With the means of confidence value of 46.69% and support value of 1.78%, and the amount of the generated rule was 30 rules.
Co-Authors Abd Kadir Mahamad Achmad Affandi Adhi Dharma Wibawa Aditiya, Fajar Adlan Hakim Ahmad Ahmad Dwi Arianto Ahmad Dwi Arianto Ahmad Zaini Aji Prasetya Wibawa Alan Luthfi Alfonsus Haryo Sangaji Anang Kukuh Adisusilo Arianto, Ahmad Dwi Binti Umayah Binti Umayah, Binti Cahyo Darujati Cahyo Darujati Citra Ratih Prameswari Damastuti, Fardani Annisa Deny Kurniawan Eko Mulyanto Yuniarno Endroyono Endroyono Endroyono, E Fachri, Moch Fachrul Kurniawan Fachrul Kurniawan Fachrul Kurniawan Feby Artwodini Muqtadiroh Fresy Nugroho Fresy Nugroho Handayeni, Ketut Dewi Martha Erli Hervit Ananta Vidada I Ketut Eddy Purnama I Ketut Eddy Purnama Jihad Hammad Jihad Hammad, Jihad Khothibul Umam Khrisna Aprianto Koesoemaningroem, Novi Kurniawan, Fachrul Lukman Hakim Mauridhi H Purnomo Mauridhi Hery Purnomo Maydlinne Liudyvia Moch Fachri Mochamad Hariadi Mochammad Hariadi Mochammad Hariadi Mochammad Hariadi Muhammad Daffa Abiyyu Rahman Muhammad Reza Pahlawan Muhammad Rifqi Mukhtar Muharman Lubis Munir Munir Nugrahardi Ramadhani Prasetyo, Didit Prioko, Kentani Langgalih Putu Gde Ariastita Putu Gde Ariastita Ariastita Rachmadi, Reza Fuad Rahmat Fauzi Rahmawati, Vira Nur Reza Fuad Rachmadi Riris Diana Rachmayanti Sartana, Bruri Trya Sharifah Saon Sri Wiwoho Mudjanarko, Sri Wiwoho Surya Sumpeno Susi Juniastuti Syahri Mu'min Tsuyoshi Usagawa, Tsuyoshi Umi Laili Yuhana Wicaksono, Alif Aditya Yuniarto, Eko Mulyanto Yunifa Miftachul Arif Yuri Pamungkas Zaini, Ahmad