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Journal : International Journal of Science, Engineering and Information Technology

Decision Supporting System For Malang City Baseball and Softball Athletes Selection Using The Vikor Method Eka Larasati Amalia; Deasy Sandhya Elya Ikawati; Muhammad Arya Puja Laksana
International Journal of Science, Engineering, and Information Technology Vol 5, No 1 (2020): IJSEIT Volume. 05 Issue. 01 DECEMBER 2020
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v5i1.8101

Abstract

Decision support system is a computer-based system that is used to solve problems by semi-structured and unstructured conditions. In this case, the best solution can be found from certain criteria and provided alternatives and is easy to use by users. In this study, researchers designed and built a website-based decision support system to select athletes in PERBASASI Malang with the provided test criteria, namely the hit test, catch test, throw test, and run test. The purpose of this study was to provide recommendations for participants who passed the selection based on test scores that have been processed using the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. From the results of calculations, the use of the VIKOR method for this case study produced an accuracy value of 90.90%, a precision value of 93.33%, and a recall value of 93.33%. In addition, the VIKOR sensitivity test showed a consistent ranking of the calculation of the value with veto (value of v less than 0.5), by consensus (value of v is 0.5), and voting by majority rule (value of v more than 0.5). User testing that was applied by using each level of the existing account, i.e. administrator account level, selection account level, and members account level conducted on this information system concluded that the system that was built was running smoothly and was easy to use.
FORECASTING THE NUMBER OF ADMISSION OF NEW STUDENTS OF STATE POLITECHNIC USING EXPONENTIAL SINGLE SMOOTING METHODS Eka Larasati Amalia; Dimas Wahyu Wibowo; Deasy Sandhya Elya
International Journal of Science, Engineering, and Information Technology Vol 3, No 2 (2019): IJSEIT Volume. 03 Issue. 02 JULY 2019
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.976 KB) | DOI: 10.21107/ijseit.v3i2.4507

Abstract

Forecasting is a prediction of uncertain events in the future. Forecasting the number of new students is one of the things that can be used for planning materials for the teaching and learning process, therefore it is necessary to predict the number of new students. This research was conducted at Malang State Polytechnic. The annual data analyzed was taken from 2011 to 2017. To predict the number of new students, the Single Exponential Smoothing method was used. This forecasting method focuses on decreasing the priority exponentially on the previous observation object. In exponential smoothing or exponential smoothing there are one or more smoothing parameters determined explicitly, and this result determines the weight imposed on the observation value. Based on the calculation results, the smallest error value is found at the value of α = 0.9 with MAD value 8.41, MAPE 7.21%, and RMSE 10.7.
Co-Authors Al Husein, Muhammad Ali Ar Ridla Ananta, Ahmadi Yuli Andhani, Yasmine Navisha Anindya Refrina Rahmatanti Anisa Meiyanti Hutami Ardiansyah, Muhammad Rizqi Attariq, Muhammad Daffa Banni Satria Andoko Baskoro Singgih Anindito Batubulan, Kadek Suarjana Budi Harijanto, Budi Chintya Puspa Dewi Darmawan, Fawwaz Ramzy Deasy Sandhya Elya Deasy Sandhya Elya Ikawati Deasy Sandhya Elya Ikawati Dhebys Suryani Hormansyah, Dhebys Suryani Dimas Shella Charlinawati Dimas Wahyu Wibowo Dwi Puspitasari Elly Setyo Astuti Elok Nur Hamdana Endah Septa Sintiya Ermi Pristiyaningrum Farida Ulfa Farida Ulfa Fayra, Syahla' Syafiqah Fitriana, Aliza Rizqi Hammam, Muhammad Haidar Harry Soekotjo Dachlan Hutami, Anisa Meiyanti Irsyad Arif Mashudi Irsyadha Alfyrdhousi Redhysyahputra Ivan Abdurrafie Jumadi, Angelita Justien Kadek Suarjana Batubulan Lia Agustina M Ridlwan Aditya M.Shulhan Khairy Meida Hersianty, Venny Meuti Zari Annisa Moch Zawaruddin Abdullah Muhammad Arya Puja Laksana Muhammad Daffa Attariq Muhammad Hafidz Ilham Priambudi Muhammad Haidar Hammam Muhammad Shulhan Khairy Mustika Mentari Nabilah Argyanti Ardyningrum Naufal Yukafi Ridlo Nor Wahid Hidayad Ulloh Nor Wahid Hidayad Ulloh Odhitya Desta Triswidrananta Panji Bayu Setiaji Pradana, Achmad Savero Windi Pramana Yoga Saputra Pramudhita, Agung Nugroho Pratama, Asa Nara Priambudi, Muhammad Hafidz Ilham Purnomo Budi Santoso Rahman, Mochamad Faisal Rakhmat Arianto RDA, Rudy Ariyanto Rosa Andrie Asmara Rosiani, Ulla Defana Sabita, Almira Rahma Setiaji, Panji Bayu Sulthon Fuad P., Aldhihamda Suryani, Debhys Titis Agunging Tyas Ulfa, Farida Ulla Delfana Rosiani Unggul Pamenang, Muhammad Usman Nurhasan Very Sugiarto, Very Vivi Nur Wijayaningrum Vivin Ayu Lestari Widiareta Safitri Yoppy Yunhasnawa Yuni Kurnia Taramita Zahri, Riris Silvia