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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal Kreativitas PKM METIK JURNAL Variance : Journal of Statistics and Its Applications VARIANSI: Journal of Statistics and Its Application on Teaching and Research Eksponensial STATISTIKA
Ika Purnamasari
Laboratorium Statistika Ekonomi Dan Bisnis FMIPA Universitas Mulawarman
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : METIK JURNAL

 1 
KOMBINASI METODE PARTIAL LEAST SQUARE (PLS) DAN TECHNOLOGY ACCEPTANCE MODEL (TAM) : EVALUASI PEMBELAJARAN (PRAKTIKUM ONLINE) Nariza Wanti Wulan Sari; Ika Purnamasari; Fahrullah Fahrullah
METIK JURNAL Vol 4 No 1 (2020): METIK Jurnal
Publisher : LP3M Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v4i1.168

Abstract

Corona virus disease (Covid-19) pandemic give effect in education. During the pandemic, the learning process was done online both of theory and practicum based on the e-learning system. Combination of partial least square (PLS) method and technology acceptance model (TAM) method used to evaluate the learning process to know students’ understanding especially practicum online. Variables using in TAM are perceived ease of use, perceived usefulness, attitude toward using, and behavioral intention. The results of this research show that there is a positive attitude by students who feel easy to do the online practicum. However, this not affects their enthusiasm to do online practicum again.
Fuzzy Inference System Using Tsukamoto Method For Making Decision of Production (Case Study: PT Waru Kaltim Plantation) Dominggus Norvindes Dellas; Ika Purnamasari; Nanda Arista Rizki
METIK JURNAL Vol 4 No 2 (2020): METIK Jurnal
Publisher : LP3M Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v4i2.171

Abstract

The decision-making process using a fuzzy inference system (FIS) logic can use one of the methods called the Tsukamoto method. The process carried out in this method is the same as the fuzzy method in general, namely the formation of fuzzy sets, the fuzzification process, defuzzification, and measuring the accuracy of the result. The purpose of this study was to apply the Tsukamoto method to predict the yield of oil palm production at PT. Waru Kaltim Plantation. Based on the analysis using the Tsukamoto method, 36 fuzzy rules were obtained for each data from February 2013 to December 2015. The prediction results of palm oil production in 2013 did not change, except for May and August. In February, March, June, and August 2014 the level of production is constant, and almost throughout 2015, there was constant. The predicted MAPE for oil palm production was 31,522%, or in the fairly good category.
Co-Authors Aisyah Aisyah Annisa Hayatunnufus Bayu Iswahyudi Noor Bayu Nanda Permana Chairunnisa Chairunnisa Cristine Uli Artha Darnah Darnah, Darnah Desi Yuniarti Diang Dewi Tamimi Dini Elizabeth Dominggus Norvindes Dellas Emi Harmianti Fahrullah, Fahrullah Fidia Deny Tisna Amijaya Gracia Indah Fajarini Hidaya Annur Hisintus Suban Hurint Khairun Nida Lisda Ramadhani M. Fathurahman Marisa Nanda Rahmaniah Meiliyani Siringoringo Memi Nor Hayati Memi Nor Hayati Memi Nor Hayati Memi Nor Hayati Muhammad Al-Firdaus Erdian Muhammad Jainudin Nanda Arista Rizki Nariza Wanti Wulan Sari Nuning Kusumaningrum Nur Annisa Roziya Nur Eka Fitria Nurul Hidayah Rahmad Fahreza Adiyasa Reyham Nopriadi Gurianto Riska Veronika Rito Goejantoro, Rito Roy Tridoni Situmorang Sekar Nur Utami Siti Rahmah Binaiya Sri Wahyuningsih Sri Wahyuningsih Surya Prangga Suyitno Suyitno Syamsiar, Syamsiar Try Hardini Rahayu Mukti Wasono Wasono Wenny Kristina Yudha Muhammad Faishol Yuki Novia Nasution Yuki Novia Nasution Yuki Purnamasari Yuli Ratnasari