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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Muh. Nur
Universitas Hasanuddin
Humanities Education Engineering Mathematics Public Health Other

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Peningkatan Indeks Pembangunan Manusia (IPM) Melalui Pelatihan Tutor Matematika Pusat Kegiatan Belajar Masyarakat (PKBM) Kabupaten Takalar Amir Kamal Amir; Andi Galsan Mahie; Aidawayati Rangkuti; Firman Firman; Muh. Nur; Hendra Hendra
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol 5 No 3 (2021): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : Dewan Pimpinan Daerah (DPD) Perkumpulan Dosen Indonesia Semesta (DIS) Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v5i3.509

Abstract

The training activity which was attended by mathematics teachers who were members of the partner group of the Subject Teacher Consultation (MGMP) of Takalar Regency used information technology in the form of a smartphone application as an alternative to improving the quality of student learning in schools. There are six smartphone applications that are trained for teachers as a first step in getting to know various other applications, namely Math Tricks, Math Expert, Mathematics Dictionary, Malmath, Photomath, and Freaking Math. The six applications are contained in the training manual which is distributed to each participant before the training materials are presented .The output of this training is that teachers can master applications that are suitable to be applied in their respective school environments to facilitate the learning process.
Forecasting Inflation In Indonesia Using The Modified Fuzzy Time Series Cheng Indi Ria Al Kadry; Jusmawati Massalesse; Muh. Nur
Jurnal Matematika, Statistika dan Komputasi Vol. 19 No. 1 (2022): SEPTEMBER, 2022
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v19i1.21868

Abstract

Inflation is one of the most important indicators to analyze a country’s economy. Therefore, it is necessary to forecast the inflation rate. Forecasting can be done by various methods, one of which is Fuzzy Time Series Cheng. In this study, several modifications were made to the method used. The purpose of this study is to forecast using the Modified Fuzzy Time Series (FTS) Cheng method and determine the accuracy of the forecasting results obtained. The results of this study indicate that the Modified FTS Cheng method can be used in forecasting, either by determining the interval average-based or using the Sturges equation. Based on the results of the calculation of forecasting accuracy using Mean Absolute Percentage Error (MAPE), the accuracy for Modified FTS Cheng by determining the average-based interval for forecasting based on the current state and next state is 11.58% and 5.78%, respectively. Furthermore, the Modified FTS Cheng by determining the interval using the Sturges equation resulted in a MAPE value of 9.61% and a FTS Cheng of 7.54%. The MAPE value of each method is less than 10%, which means that the method has a very good performance, except for Modified FTS Cheng by determining the average-based interval for forecasting based on current state has good performance with MAPE values ​​between 10 % and 20%.  
Co-Authors Aidawayati Rangkuti Amir Kamal Amir Andi Galsan Mahie Firman firman Hendra Hendra Indi Ria Al Kadry Jusmawati Massalesse