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All Journal Koordinat : Jurnal Pembelajaran Matematika dan Sains Journal Focus Action of Research Mathematic (Factor M) Journal of Mathematics Learning Innovation (JMLI) JMT (Jurnal Matematika dan Terapan)
Granita
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Physics Other

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Implementation of fuzzy logic using the tsukamoto method in forecasting the amount of bolu cake production Nasution, Jabal Yasir; Granita
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 1 (2024)
Publisher : IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i1.2516

Abstract

Rumah produksi berkah bolu merupakan salah satu UMKM yang memproduksi kue bolu di Kota Pekanbaru. Pemilik usaha tersebut kesulitan dalam menentukan jumlah produksi kue karena hanya berdasarkan pada jumlah permintaan yang ada. Berdasarkan permasalahan tersebut, maka dipilihlah metode fuzzy Tsukamoto karena menggunakan penalaran monoton dalam setiap aturannya. Terdapat 4 tahapan yang dipakai dalam perhitungan metode Tsukamoto yaitu fuzzifikasi, inferensi, komposisi/Agregasi dan defuzzyfikasi. Hasil MAPE yang diperoleh dengan metode fuzzy Tsakomoto adalah 6,91% dan tingkat keakuratan sebesar 93,01%, yang memiliki arti bahwa metode fuzzy Tsukamoto sangat baik dalam memprediksi jumlah produksi, sehingga dapat digunakan sebagai sistem untuk mendukung keputusan dalam penentuan jumlah produksi kue bolu di rumah produksi Berkah Bolu.   The Berkah Bolu Production House is one of the Small and Medium Enterprise (SME) that produces bolu cakes in Pekanbaru City. The business owner has difficulty in determining the amount of cake production because it is only based on the number of existing requests. Based on these problems, the Tsukamoto fuzzy method was chosen because it uses monotonous reasoning in each rule. There are 4 stages used in the calculation of the Tsukamoto method, namely fuzzification, inference, composition or aggregation, and defuzzification. The MAPE result obtained by the fuzzy Tsukomoto method is 6.91% and the accuracy level is 93.01%, which means that the fuzzy Tsukamoto method is very good at predicting the amount of production, so it can be used as a decision support system in determining the amount of bolu cake production in the Berkah Bolu Production House.
PERSEPSI MAHASISWA PENDIDIKAN MATEMATIKA TERHADAP MANFAAT APLIKASI PHOTOMATH DALAM MENYELESAIKAN PERSOALAN MATEMATIKA Wirda Jamiatul Sholeha; Granita
Koordinat Jurnal MIPA Vol. 5 No. 2 (2024)
Publisher : Program Studi Tadris Matematika dan Tadris Ilmu Pengetahuan Alam, Fakultas Tarbiyah dan Ilmu Keguruan (FTIK), Universitas Islam Negeri (UIN) Datokarama Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24239/koordinat.v5i2.106

Abstract

This research explores how mathematics education students view the benefits of using the Photomath application in solving mathematics problems. The method applied is a qualitative research approach. Information was collected by distributing questionnaires to mathematics education students at the Sultan Syarif Kasim State Islamic University of Riau who had experience using Photomath to help them solve mathematical problems. A total of 30 subjek penetrants were the sample in this research. The collected data was analyzed based on perception themes related to the use of the Photomath application that had been determined by the researcher. The research results show that using the Photomath application is indeed suitable for making it easier for users to understand mathematical solving procedures both in terms of features and performance.
Implementation of fuzzy logic using the tsukamoto method in forecasting the amount of bolu cake production Nasution, Jabal Yasir; Granita
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 1 (2024): Vol. 7 No. 1 (2024)
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i1.2516

Abstract

Rumah produksi berkah bolu merupakan salah satu UMKM yang memproduksi kue bolu di Kota Pekanbaru. Pemilik usaha tersebut kesulitan dalam menentukan jumlah produksi kue karena hanya berdasarkan pada jumlah permintaan yang ada. Berdasarkan permasalahan tersebut, maka dipilihlah metode fuzzy Tsukamoto karena menggunakan penalaran monoton dalam setiap aturannya. Terdapat 4 tahapan yang dipakai dalam perhitungan metode Tsukamoto yaitu fuzzifikasi, inferensi, komposisi/Agregasi dan defuzzyfikasi. Hasil MAPE yang diperoleh dengan metode fuzzy Tsakomoto adalah 6,91% dan tingkat keakuratan sebesar 93,01%, yang memiliki arti bahwa metode fuzzy Tsukamoto sangat baik dalam memprediksi jumlah produksi, sehingga dapat digunakan sebagai sistem untuk mendukung keputusan dalam penentuan jumlah produksi kue bolu di rumah produksi Berkah Bolu.   The Berkah Bolu Production House is one of the Small and Medium Enterprise (SME) that produces bolu cakes in Pekanbaru City. The business owner has difficulty in determining the amount of cake production because it is only based on the number of existing requests. Based on these problems, the Tsukamoto fuzzy method was chosen because it uses monotonous reasoning in each rule. There are 4 stages used in the calculation of the Tsukamoto method, namely fuzzification, inference, composition or aggregation, and defuzzification. The MAPE result obtained by the fuzzy Tsukomoto method is 6.91% and the accuracy level is 93.01%, which means that the fuzzy Tsukamoto method is very good at predicting the amount of production, so it can be used as a decision support system in determining the amount of bolu cake production in the Berkah Bolu Production House.
Pengaruh Lingkungan Belajar dan Gaya Belajar Terhadap Hasil Belajar Mahasiswa Pendidikan Matematika Luci Febriyanti, Yuspira; Granita
Journal of Mathematics Learning Innovation Vol 4 No 2 (2025): Journal of Mathematics Learning Innovation
Publisher : Department of Mathematics Education, Faculty of Tarbiyah, Institut Agama Islam Negeri Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35905/jmlipare.v4i2.14123

Abstract

This study aims to analyze the influence of learning environment and learning style on the learning outcomes of Mathematics Education students at Sultan Syarif Kasim State Islamic University, Riau. The study used an ex post facto method with a quantitative approach, involving 50 students as respondents from the classes of 2022, 2023, and 2024. Data were collected through a learning environment questionnaire and a web-based learning style test, then analyzed using normality, homogeneity, multicollinearity tests, as well as t-tests, F-tests, and multiple linear regressions. The results of the study showed that both the learning environment and learning style partially and simultaneously had a significant effect on student learning outcomes, with a significance value of p <0.05 in all tests conducted. A conducive learning environment and adjustment of learning styles according to individual characteristics have been shown to increase students' motivation, understanding, and academic achievement. These findings emphasize the importance of efforts to improve the quality of the learning environment and understanding of learning styles in supporting academic success in the field of mathematics education.
Penerapan Algoritma Dijkstra dan Algoritma Bellman-Ford untuk Menentukan Rute Terpendek Dhea Ayu Devi Mayang Sari; Granita; Dinda Handayani
JMT (Jurnal Matematika dan Terapan) Vol. 6 No. 1 (2024): JMT (Jurnal Matematika dan Terapan)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmt.6.1.5

Abstract

Siak Sri Indrapura is a regency located in Riau Province. Siak Regency is expected to become a tourist destination capable of attracting visits from both domestic and foreign tourists. For travelers who are visiting Siak Palace For those experiencing it for the initial time, of course they will have difficulty determining the direction of the road, so tourists use alternative technology such as Google Maps to determine their direction of travel. In Google Maps there are various travel routes, to save time tourists will defi-nitely choose the shortest travel route. To determine the shortest route, of course, re-quires calculations to avoid mistakes. In this research, the shortest route from Pek-anbaru to Siak Palace was carried out using The algorithms of Dijkstra and Bellman-Ford. This algorithm was chosen because it can help calculate the shortest route that tourists can take. It was found that in the last iteration The Dijkstra algorithm and the Bellman-Ford algorithm, both of which travel route from Pekanbaru to Siak Palace was 125.1 km with a node route (Jalan Raya Pekan – Jalan SM Amin – Jalan Raya Panjang Okura – Jalan Perawang Siak – Jalan Buatan – Siak).
Co-Authors Dhea Ayu Devi Mayang Sari Dinda Handayani Luci Febriyanti, Yuspira Nasution, Jabal Yasir Wirda Jamiatul Sholeha