Vianita, Etna
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Identification of South Sumatra Province’s Local Wisdom as Science Literacy Objects Sari, Widya; Wiyono, Ketang; Setyawan, Dedy; Asiandu, Angga Puja; Sa’diyah, Khalimatus; Vianita, Etna; Septialti, Delita; Sutinah, Sutinah
Jurnal Pendidikan Fisika dan Keilmuan (JPFK) Vol 6, No 2 (2020)
Publisher : UNIVERISTAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jpfk.v6i2.8600

Abstract

The ability of Indonesian students to master physics is still low. Based on PISA in 2018, Indonesia ranked at 62th out of 72 participating countries. It was much lower than other Asian countries. Therefore, this problem should be overcome. One of the existing sources of physics literacy is local wisdom. The local wisdom can be used as a direct source of physics studies for students to increase their literacy skills. Therefore, in this paper, the authors discussed some local wisdoms in South Sumatra Province that potentially used as physics literacy objects for students in their school. South Sumatra has many local wisdoms potentially used as real objects in physics studies for students. Some of the local wisdom as otok-otok boat and roasted kemplang can be used as the object of heat transfer studies (thermal), and the traditional houses of Limas and Baghi can be used as media for learning force, mass, load and modulus of elasticity. The objects of literacy studies are sources of study that can be used by teachers in teaching physics. Through local wisdom-based literacy, it is certainly expected to improve Indonesia's PISA ranking. Not only to improve PISA ranking, but it is also increase the superiority of the nation's future generations.
PERAMALAN PRODUKSI KARET INDONESIA MENGGUNAKAN FUZZY TIME SERIES DUA FAKTOR ORDE TINGGI RELASI PANJANG BERDASARKAN RASIO INTERVAL Vianita, Etna; Tjahjana, Heru; Udjiani, Titi
Majalah Ilmiah Matematika dan Statistika Vol 22 No 1 (2022): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v22i1.30414

Abstract

The fuzzy time series method for forecasting continues to develop over time. This research discusses fuzzy time series, which considers two factors for high order using interval partitioning based on interval ratio with long relation construction for getting different accuracy in forecasting between combination method and existing method. The first step is the formation of the universe of speech. Second, divide the universe of discourse into several intervals using interval ratios. Third, fuzzification. Fourth, build fuzzy logic relations and fuzzy logic relation groups, and fifth, defuzzification. The previous methods would be compared with the fuzzy logic relation construction result. The simulation used Indonesian rubber production data for 2000-2020. The results and errors were tested using the average forecasting error rate (AFER). AFER value of the forecasting method is 1.863% obtained.Keywords: Forecasting, fuzzy time series, long relationMSC2020: 62M10, 62M20, 62M86, 03E72