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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Pengabdian Magister Pendidikan IPA EIGEN MATHEMATICS JOURNAL JURNAL PENDIDIKAN MIPA Jurnal Varian Jurnal Ilmiah Profesi Pendidikan Mandalika Mathematics and Educations Journal Journal of Classroom Action Research JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Griya Journal of Mathematics Education and Application ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Rengganis Jurnal Pengabdian Masyarakat VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) Jurnal el-Huda: Jurnal Pendidikan, Sosial, dan Keagamaan Jurnal Manajemen dan Ekonomi Terapan Sigma&Mu: Journal of Mathematics, Statistics and Data Science
Primajati, Gilang
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Karakteristik Ideal Semiprima Fuzzy Abdurahim, Abdurahim; Anas, Andy Sofyan; Negara, Habib Ratu Perwira; Ahmad, Ahmad; Primajati, Gilang
Eigen Mathematics Journal Vol 1 No 1: Vol 1 No 1 Juni 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.496 KB) | DOI: 10.29303/emj.v1i1.3

Abstract

A function  is called as an fuzzy prime ideal if every fuzzy ideal of  and  satisfies  caused  or  and a function  is called as an fuzzy semiprime ideal if every fuzzy ideal of  which requires  caused . The previous research has been studied the ideal characteristics of fuzzy prime. Since not all ideal fuzzy semiprime are ideal fuzzy prime, resulted in some characteristic of fuzzy semiprime ideal do not exist in characteristics of the fuzzy prime ideal. This study examines the characteristics of the fuzzy semiprime ideal along with some examples of those characteristics.
Peramalan Jumlah Kunjungan Wisatawan di Provinsi Nusa Tenggara Barat (NTB) Menggunakan Metode Arima Box-Jenkins Soraya, Siti; Fitriana Aziza, Istin; Juanda, M. Rizky Ujiana; Primajati, Gilang; Rahima, Phyta
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 6 No. 01 (2024)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm150

Abstract

The development of tourism in West Nusa Tenggara Province (NTB) is supported by geographical conditions with scattered small islands (gilis), tropical climate, and cultural peculiarities of the Sasak Tribe, thus becoming an attraction in the development of global tourist destinations. Tourism development in NTB Province will be more attractive with the establishment of the Mandalika National Tourism Development Strategic Area (KSPPN). NTB Province can maximize its role with the momentum of this strategic policy through the development of new growth centers based on the tourism sector, collaborating with other sectors, and packaging the potential of villages to become thematic tourism villages. A method to forecast the number of tourist visits in NTB Province is needed in assisting the government in preparing proper facilities and infrastructure if there is a possible surge in tourist visits. The method used in this study is the ARIMA Box-Jenkins Method to forecast the number of tourist visits in NTB Province. The data used in this study is in the form of secondary data sourced from the Central Bureau of Statistics of NTB Province, namely from January 2020 to December 2022. The results showed that the ARIMA model formed was (1,1,1), this shows that the forecasting of the number of tourist visits in NTB Province meets the assumption of white noise.
Path Analysis of the Decomposition Method to Know the Factors Influence on the Completion of the Thesis Primajati, Gilang
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 2 (2023): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i2.141

Abstract

This study aims to perform modeling and determine the factors that significantly and not significantly influence the completion of the thesis. The analysis used is the path analysis of the decomposition method. The data used is primary data by distributing questionnaires. Based on the results of the analysis that has been done, the path analysis model for the factors that influence the completion of the thesis are: The factors that significantly effect are facilities (), selection of specialization courses (), and selection of courses (). While lecturer factor () and motivation factor () have no effect. Supporting facilities factor and selection of supporting courses factor only directly affect the completion of minithesis. While the selection of specialization courses also has indirect effect to the completionof the thesis.
Augmented Reality in the Application of 3 Dimensional Objects as Laboratory Equipment Primajati, Gilang
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 2 No. 1 (2024): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v2i1.199

Abstract

In today's developing era, quite a few schools still have limitations or lack of learning media. So technology is needed to support the learning process so that it is easier for students to learn both online and offline. This research aims to create and add Augmented Reality-based learning media at SMA Negeri 1 Plampang. The learning media created is a chemistry practical learning application using the Android platform which will be implemented in the chemistry textbook for class XMIPA students at SMA Negeri 1 Plampang. Augmented Reality technology makes it possible to combine the virtual world and the real world in real time. So it will be able to provide a real learning experience. By applying Augmented Reality to the Chemistry textbook, students will be able to get to know the chemistry practical tools displayed through the application without needing to look directly into the chemistry laboratory. The research method used is the ADDIE method which consists of analysis, design, development, implementation and evaluation stages. This method will produce output in the form of an Android-based application that uses Augmented Reality technology to display 3D objects for chemistry practical tools. Based on the results of the questionnaire or questionnaire that was given to respondents, the result was that the application that had been created was feasible and could be used as a learning medium that would be used at SMA Negeri 1 Plampang in the Chemistry subject class X-IPA CHAPTER 1
Paddy Price Prediction using Fuzzy Time Series Model Lee Method for Determination of Crop Insurance Premiums Hidayat, Agus Sofian Eka; Amanifalah, Deati; Primajati, Gilang
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 2 No. 2 (2024): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v2i2.280

Abstract

The price of the paddy has significant fluctuations as BPS mentioned that the average price of dry  paddy harvested at the farmer level decreased in February 2022 by 3.2% from January 2022. Hence, crop industry businesses continue to face significant uncertainty risk. The purpose of this study is to discuss the use of the Fuzzy Time Series Model Lee for predicting future paddy prices in order to calculate crop insurance premium using Black Scholes model with cash or nothing put option approach. This is because crop industry is one of the agricultural products that Indonesia is capable of producing in large quantities. As a result, crop insurance should be purchased by farmers to protect against crop yield losses. Aside from that, the price of paddy fluctuates significantly. Therefore to reduce the loss of revenue from reductions in decreasing of crop yield or even crop failure, it needs to provide the insurance based on the paddy prices to protect the paddy prices itself from the large fluctuations at the farmer level. Based on the analysis of this study, generates result for January 2022, February 2022, and March 2022 are 4547.41, 4547.41, and 4701.62 respectively. With the accuracy level is 0.05%. Therefore, the insurance premiums based on the prediction result is 2,775,579. The implication or benefit of this thesis is for the other parties such as farmer
Analysis of The Competition Model of Two Populations Around The Orbit of The Equilibrium Point Primajati, Gilang; Mardianti, Titis Rizki; Supiarmo, M. Gunawan; Hidayat, Agus Sofian Eka
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 2 No. 2 (2024): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v2i2.283

Abstract

The competition of two populations model that represented in an ordinary differential equations system. This model describes about the competition of two population in general that is consist of the interspesies competition and the intraspesies competition. In ecology, the population dynamic is closely related to population growth, equilibrium, and stability. Equilibrium is represented by a point called the equilibrium point or fixed point. By analyzing the stability around the fixed point, it can be seen the carrying capacity of a system, which mean the optimal number of individual that can be supported by the environment. According to the analysis of the model obtained 4 fixed points, three of them are unstable and the other else is stable. The orbit of the system around fixed point visualized using software. The behavior orbit around fixed point of the model will move away from the unstable fixed point and move closer to the stable fixed point.
Estimating and Forecasting Composite Index in Pandemic Era Using ARIMA-GARCH Model Hidayat, Agus Sofian Eka; Primajati, Gilang
Jurnal Varian Vol. 7 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i2.2103

Abstract

Many industries have suffered financial losses as a result of the COVID-19 epidemic. The stock market's movement has been impacted by this circumstance. Due to the influence of some people, a large number of individuals with limited trading knowledge are attempting to participate in the stock market. Market volatility should be understandable in order to gain profit instead of having losses. Therefore, it's essential to comprehend the market of the future through analysis of the data. The purpose of this study is to use ARIMA-GARCH to predict the Indonesian stock market price during. The period covered by the dataset is January 2020–December 2022. The training data indicates that ARIMA (2,1,2) is the best model for ARIMA. The results showed that data residual fitted by ARIMA (2,1,2)-GARCH (1,2) exhibits heteroscedasticity, according to the residual analysis. The MAPE score is 2%, which is relatively small. It means that ARIMA (2,1,2)-GARCH (1,2) is good enough for forecasting the Jakarta Composite Index.
AKSARA: Pengembangan Media Pembelajaran Berbasis Website Etnomatematika pada Siswa MTs Hikmatusysyarief NW Salut Priangka, Nabila Aulia; Efendi, Chaerunnisa Sumiatun; Rusdianto, Rusdianto; Sofiana, Dina Rizkya; Primajati, Gilang
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 4b (2025): Edisi Khusus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i4b.4349

Abstract

Program Kreativitas Mahasiswa ini dilaksanakan untuk meningkatkan kualitas pembelajaran matematika di MTs Hikmatusysyarief NW Salut melalui pengembangan dan penerapan website AKSARA sebagai media pembelajaran digital berbasis etnomatematika. Program ini dilatarbelakangi oleh kondisi pembelajaran yang masih didominasi metode ceramah, minim pemanfaatan teknologi, serta rendahnya keterlibatan siswa karena materi dianggap abstrak dan kurang relevan dengan kehidupan sehari-hari. Tujuan utama kegiatan ini adalah membantu guru mengembangkan bahan ajar yang kontekstual dan interaktif serta meningkatkan kemandirian dan partisipasi siswa dalam belajar matematika. Tahapan pelaksanaan meliputi observasi awal, pelatihan pengembangan bahan ajar berbasis budaya lokal Lombok, pengembangan website AKSARA, pelatihan penggunaan website bagi guru dan siswa, serta monitoring dan evaluasi. Program ini menghasilkan peningkatan kemampuan guru dalam memanfaatkan teknologi dan menyusun bahan ajar digital yang memuat unsur budaya lokal. Hasil evaluasi juga menunjukkan bahwa siswa lebih aktif, termotivasi, dan mampu menggunakan website secara mandiri. Secara keseluruhan, program AKSARA terbukti efektif dalam menghadirkan pembelajaran matematika yang lebih kontekstual, menarik, dan relevan dengan pengalaman budaya siswa.
Co-Authors Abdurahim, Abdurahim Ahmad Ahmad Ahmad Amanifalah, Deati Amrullah Amrullah Amrullah Anas, Andy Sofyan Anthony Anggrawan Arjudin Baidowi Baidowi Dedi Aprianto Dinisa Putri, Baiq Elda Efendi, Chaerunnisa Sumiatun Erwin Suhendra Etmy , Desventri Fadila, Kasturi Anisa Fitriana Aziza, Istin Gyanendra Ali Baska, Adam Habib Ratu Perwira Negara Hendayanti, Ni Putu Nanik Herawati, Baiq Candra Hidayat, Agus Sofian Eka Juanda, M. Rizky Ujiana Junaidi Junaidi Kamil, Wahyu KETUT SARJANA, KETUT Khawarizmi, Bunial Khoiroh, Auliya Muhimmatul Kurniawan, Eka Laila Hayati, Laila Lutfianti, Lulu Mardianti, Titis Rizki Nurul Hikmah Oktavihari, Dita Phyta Rahima Pramesti Wulandari, Nourma Priangka, Nabila Aulia Rusdianto Rusdianto, Rusdianto Ruslin, Ruslin Salsabila, Nilza Humaira Siti Soraya Sofiana, Dina Rizkya Sripatmi Sripatmi Sripatmi, Sripatmi Supiarmo, M. Gunawan Supiarmo, M.Gunawan Syahrul Azmi Ulfa Lu’luilmaknun Wulandari, Nourma Pramestie Zafitri, Pujita