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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Jurnal MD BAREKENG: Jurnal Ilmu Matematika dan Terapan Muqtasid: Jurnal Ekonomi dan Perbankan Syariah Zero : Jurnal Sains, Matematika, dan Terapan IQTISHADUNA: Jurnal Ekonomi dan Keuangan Islam Journal of Innovation in Business and Economics Journal of Enterprise and Development (JED) JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) Indonesian Journal of Islamic Education Studies (IJIES) Mosharafa: Jurnal Pendidikan Matematika Journal of Math Tadris (jMt) International Journal of Islamic and Social Sciences (ISOS) Journal of Social Outreach Jurnal Perbankan Syariah Indonesian Journal of Islamic Education Studies (IJIES)
Any Tsalasatul Fitriyah
UNIVERSITAS ISLAM NEGERI MATARAM
Religion Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT MASYARAKAT MENABUNG DI BANK SYARIAH (Studi pada Masyarakat Desa Lajut Kecamatan Praya Tengah) andre muzakkir; Yunia Ulfa Variana; Any Tsalasatul Fitriyah; Suriani
Jurnal Perbankan Syariah Vol. 1 No. 1 (2022): Jurnal Perbankan Syariah
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jps.v1i1.5184

Abstract

This study was conducted to find out: whether factor of trust, perception, knowledge and promotion influence partially and simultaneously on the interest of people saving in Islamic banks. This research is a quantitative study using primary data by providing questionnaires to the community in Lajut Village, Praya Tengah District, with a sample of 100 respondents. The analysis technique used is multiple regression analysis techniques. Based on the results of the hypothesis test, the results of partial research (t test) are confirmed (X1), perception (X2), and promotion (X4) have a significant and positive effect on community interest in saving in Islamic banks with a significance level of 0.028, 0.002 and 0.000 temporarily For the Knowledge Variable (X3) has no significant effect with a significance value of 0.356. The results of research simultaneously (test f) obtained a variable trust, perception, knowledge and promotion significantly influence public interest with a significance value of 0,000.
Perception of Muslim Students on Learning Management System Dahlia Bonang; Any Tsalasatul Fitriyah; Dewi Sartika Nasution
Indonesian Journal of Islamic Education Studies (IJIES) Vol. 5 No. 1 (2022): Indonesian Journal of Islamic Education Studies (IJIES)
Publisher : Faculty of Tarbiyah Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/ijies.v5i1.2384

Abstract

Learning Management System (LMS) is essential for knowledge acquisition and learning management in the digital era. Users are regarded as significant stakeholders who impact the system's longevity, and their attitudes regarding the system are considered. This study compares student satisfaction levels across Moodle and Google Classroom learning platforms. This study employs a quantitative approach. A survey questionnaire was specially designed to collect data from the sample. The sample of 322 students was divided into two groups: 161 using Google Classroom and 161 using Moodle. The PIECES framework was used to quantify satisfaction. STATA's Z-test was used to examine the data in this study (mean-comparison test). According to the data, there was a difference in satisfaction with Moodle versus Google Classroom. Only one of the six criteria used to measure satisfaction shows that using Moodle with Google Classroom leads to the same level of satisfaction.
Religiosity as a moderator on business success: A campaign for open innovation Aziz, Ahmad Amir; Fitriyah, Any Tsalasatul
Journal of Innovation in Business and Economics Vol. 8 No. 01 (2024): Journal of Innovation in Business and Economics
Publisher : Faculty of Economics and Business, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jibe.v8i01.28945

Abstract

The study investigates how managerial competency (MC) and entrepreneurial orientation (EO) impact the business success (BS) of small and medium enterprises (SMEs) in the food sector, with an examination of religiosity as a moderating factor. Purposive sampling was employed to select a sample of 122 owners and workers from culinary businesses on Lombok Island, Indonesia. Data analysis was conducted using Structural Equation Modeling (SEM) with AMOS 22. The findings underscore MC's critical role in enhancing BS, alongside EO's significant influence on overall company performance. Moreover, the study reveals that religiosity plays a moderating role in shaping the relationships between MC, EO, and BS. Furthermore, our research connects these insights to the concept of open innovation. By integrating aspects of religiosity into the implementation of open innovation in SMEs, not only can the quality of innovation be enhanced, but it can also cultivate a positive reputation that contributes to increased business success.
Pengaruh Penerapan model pembelajaran kooperatif tipe think pair share pada pembelajaran matematika di Madrasah Ningsih, Yudia Mahyu; Sucipto, Lalu; Fitriyah, Any Tsalasatul
Jurnal of Math Tadris Vol 1 No 1 (2021): Journal of Math Tadris (jMt)
Publisher : Mathematic Education Departement, State Islamic University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.888 KB) | DOI: 10.55099/jmt.v1i1.5

Abstract

Penelitian ini bertujuan untuk mengetahui ada tidaknya pengaruh penerapan model pembelajaran kooperatif tipe think pair share (TPS) terhadap motivasi belajar matematika siswa kelas VIII MTs Darunnajah Al-Falah Telagawaru. Populasi dalam penelitian ini adalah siswa kelas VIII MTs Darunnajah Al-Falah Telagawaru. Teknik pengambilan sampel yaitu menggunakan teknik sampling jenuh dengan jumlah masing-masing 24 siswa yang terdiri dari 2 kelas dengan total keseluruhan 48 orang. Dalam penelitian ini peneliti memilih kelas VIII B sebagai kelas eksperimen dan kelas VIII A sebagai kelas kontrol. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian eksperimen dengan pendekatan kuantitatif. Metode pengumpulan data dilakukan dengan menggunakan metode angket, metode observasi, metode wawancara dan metode dokumentasi. Teknik analisis data menggunakan uji-t yang sebelumnya dilakukan uji prasyarat yaitu uji normalitas dan uji homogenitas. Hasil perhitungan uji-t diperoleh nilai t hitung= 4,239 dan ttabel = 2,069 untuk taraf signifikan 5% dengan df = (n–1) = (24–1)=23. Sehingga berdasarkan kriteria pengujian hipotesis dengan menggunakan t-test yaitu jika thitung > ttabel (4,239 > 2,069) maka hipotesis alternatif (Ha yang diterima), karena berdasarkan perhitungan ternyata hasil dari thitung = 4,239 lebih besar dari t tabel = 2.069 maka Ha diterima atau penolakan H0, dengan demikian dapat dikatakan bahwa terdapat perbedaan secara signifikan
COMPARISON OF LEAST SQUARE SPLINE AND ARIMA MODELS FOR PREDICTING INDONESIA COMPOSITE INDEX Fitriyah, Any Tsalasatul; Chamidah, Nur; Saifudin, Toha
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp2169-2178

Abstract

The Indonesian Composite Index (ICI) reflects Indonesia's economic growth. ICI predictions are significant considerations for investors when making investment decisions. Two approaches can be used to predict ICI: parametric and nonparametric approaches. Therefore, this study compares parametric and nonparametric approaches to predict ICI. In its application, the parametric approach requires several assumptions to be met, such as linearity. This differs from analysis with a nonparametric approach that does not require certain assumptions. The parametric approach in this study uses the ARIMA model. ARIMA is widely used to predict time series data. In the nonparametric approach, in this study, we used nonparametric regression based on the least square spline. Spline is chosen because it can handle data that tends to fluctuate by placing knot points when data changes occur. In this study, ICI monthly data obtained from the website investing.com was used. Investing.com is a website that financial analysts often use as a data source to monitor world economic conditions, including the ICI. The Mean Absolute Percentage Error (MAPE) value is determined to assess the accuracy of the prediction. The study results indicate that the analysis with ARIMA cannot meet the assumptions, so ARIMA modeling cannot be continued. Different results were obtained in nonparametric regression modeling based on the least square spline estimator. Prediction of ICI using nonparametric regression based on the least square spline estimator has a MAPE value of 2.613% (less than 10%), which means the model is a highly accurate prediction, meaning modeling using nonparametric regression based on the least square spline estimator is better than the ARIMA model for predicting ICI.
Etnomatematika Pada Bale Lumbung Sasak Fitriyah, Any Tsalasatul; Syafi’i, Mohamad
Mosharafa: Jurnal Pendidikan Matematika Vol. 11 No. 1 (2022): Januari
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v11i1.682

Abstract

Penerapan konsep matematika pada dasarnya tidak terpisah dari kebudayaan. perlu dikembangkan suatu media informasi serta pembelajaran dengan menerapkan pendekatan yang bersifat etnomatematika. Penelitian bertujuan mengetahui aktivitas etnomatematika pada kegiatan produksi bale lumbung sasak di Desa Tamansari Kecamatan Gunungsari Kabupaten Lombok Barat. Desa Tamansari dipilih karena mayoritas masyarakatnya bermata pencaharian sebagai tukang kayu. Penelitian ini berjenis kualitatif dengan pendekatan etnografi untuk mendapatkan aktivitas matematika yang digunakan oleh tukang kayu sehari-hari. Aktivitas produksi bale lumbung pada penelitian ini meliputi aktivitas penyedian bahan, proses produksi serta penentuan harga jual. Hasil penelitian adalah para tukang kayu (pengrajin) bale lumbung telah menggunakan matematika dalam proses penyediaan bahan, meliputi aktivitas menghitung volume kebutuhan bahan. Pada proses produksi, para tukang kayu juga menggunakan perhitungan secara matematika untuk mendapatkan hasil yang maksimal. Selain itu, para pengusaha bale lumbung juga menggunakan teori laba-rugi dalam menentukan harga jual bale lumbung agar tidak mengalami kerugian. Adapun yang mempengaruhi harga jual bale lumbung adalah kualitas bahan, tingkat kesulitan pekerjaan, serta jarak lokasi pemasangan. The application of mathematical concepts is inseparable from culture. it is necessary to develop information and learning media by applying an ethnomathematical approach. This study aims to determine the ethnomathematical activities in the production of bale lumbung Sasak in Tamansari Village, Gunungsari District, West Lombok Regency. Tamansari Village was chosen because the majority of the people make a living as carpenters. This research is a qualitative type with an ethnographic approach. An ethnographic approach is used to obtain mathematical activities used by carpenters in everyday life. The production activities of the bale barn in this study include the activity of providing materials, the production process, and determining the selling price. The results obtained from this study are the bale barn carpenters (craftsmen) have used mathematics in the process of providing materials, including the activity of calculating the volume of material requirements. In the production process, the carpenters also use mathematical calculations to get maximum results. In addition, the bale barn entrepreneurs also use the profit and loss theory in determining the selling price of the bale barn so as not to suffer losses. What affects the selling price of the bale barn is the quality of the material, the level of difficulty of the work, and the distance from the installation location.
TIME SERIES MODELING OF INDONESIA’S INFLATION RATE USING ARIMA: A CASE STUDY OF 2015–2025 INFLATION DATA Fibriyani, Vita; Hasyim, Maylita; Fitriyah, Any Tsalasatul
JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) Vol 11, No 2 (2025)
Publisher : Universitas Bhinneka PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jp2m.v11i2.10110

Abstract

Inflation is a key macroeconomic indicator that reflects price stability and forms the basis for monetary policy formulation. This study aims to model and evaluate the ability to forecast Indonesia's inflation rate using monthly data from 2015 to 2025 with the Augmented Integrated Moving Average (ARIMA) approach. The ARIMA method is used to capture the dynamics of the inflation time series and identify the existence of inflation inertia. The analysis stages include stationarity testing, model identification based on the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) patterns, parameter estimation, and residual diagnostic and forecasting accuracy evaluation. The analysis results show that inflation data is stationary at a level that does not require differencing. The best model obtained is ARIMA (1,0,0) with a statistically significant first-order autoregressive component. Model performance evaluation using Mean Absolute Percentage Error (MAPE) yields a value of 15.37%, indicating that the model has a fairly good forecasting accuracy. Empirically, these findings support the theory of inflation inertia, in which previous periods of inflation play an important role in explaining current inflation. The results of this study show that the simple ARIMA model is still relevant and effective for short-term inflation forecasting in Indonesia, especially in conditions of relatively stable monetary policy.
Analisis faktor kinerja karyawan pada perusahaan donat : (Studi kasus di Desa Sandik Kecamatan Batulayar Kabupaten Lombok Barat) Any Tsalasatul Fitriyah; Irma Suriyani Savitri
Journal of Enterprise and Development (JED) Vol. 2 No. 1 (2020): Journal of Enterprise and Development (JED)
Publisher : Faculty of Islamic Economics and Business of Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jed.v2i01.2080

Abstract

The objective of this study was to ascertain the elements affecting employee performance. The performance management quality component becomes the driving force behind a company's development and progress. However, only a few things are motivating people to increase their performance. The investigation in this study used exploratory factor analysis (EFA), which is used to reduce the original variable to a variate (factor) in order to determine the dominating factor influencing employee performance. The findings revealed two variables that influence employee performance. These two variables account for up to 74.695 percent of the variation in variables affecting employee performance. The first element makes a sizable contribution (52.478 percent), whereas the second factor makes up the difference. The first factor, organizational support, is comprised of the award factor, the delegating factor, the supervisor's support factor, the employee welfare factor, the working environment factor, and the selling factor. The second aspect is individual competency, which is composed of the skill, motive, character, and self-concept factors.
Nonlinear Ordinal Logistic Regression and Multivariate Adaptive Regression Splines (NORL-MARS) for Prediction of Diabetes Mellitus Risk Any Tsalasatul Fitriyah; Maylita Hasyim; Nur Chamidah; Toha Saifudin; Vita Fibriyani
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28733

Abstract

Diabetes Mellitus (DM) is a high-risk metabolic disease with increasing prevalence in Indonesia, requiring an effective classification model based on significant risk factors. This study uses Nonparametric Ordinal Logistic Regression based on the Multivariate Adaptive Regression Spline estimator (NOLR-MARS). Unlike conventional parametric ordinal regression, this model does not assume a fixed functional pattern but rather determines the form of the relationship based on data patterns through basis functions, making it more flexible in handling complex predictor variable interactions. Using 664 records from the Non-Alcoholic Fatty Liver Disease (NAFLD) cohort, we explore the relationship between metabolic factors, included age, sex, Body Mass Index (BMI), LDL cholesterol, and hypertension—and DM risk. This NOLR-MARS integration addresses the nonlinear relationship while maintaining the ordinal nature of DM stages, a combination often overlooked in traditional models. Based on Generalized Cross Validation (GCV) selection, the best model achieved 74.92% accuracy for in-sample data and 80.30% for out-sample data. Furthermore, a sensitivity of 70% and a specificity of 92.86% were obtained for stage 2 DM. Factors such as age, BMI, LDL cholesterol, and hypertension significantly influenced DM status. The results showed that the NORL-MARS model had good predictive performance. The novelty of this study lies in the integration of the MARS estimator into an ordinal logistic regression framework for more granular DM risk assessment. Although this model shows potential as a screening tool in high-risk metabolic cohorts, further clinical application requires external validation to ensure broader generalizability.
Co-Authors Ahmad Amir Aziz andre muzakkir Dahlia Bonang Dewi Sartika Nasution Hasyim, Maylita Irma Suriyani Savitri Lila Alwyah Mohamad Syafi’i Naili Rahmawati Ningsih, Yudia Mahyu Nur Chamidah Ravica Agustina Putri Savitri, Irma Suriyani Sucipto, Lalu Suriani Syafi’i, Mohamad Toha Saifudin VITA FIBRIYANI VITA FIBRIYANI, VITA Yunia Ulfa Variana