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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.
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.
PENDAMPINGAN DIGITALISASI PENGELOLAAN AIR SUMUR BOR WARGA DUSUN LIMBUNGAN UTARA DESA TAMANSARI Any Tsalasatul Fitriyah; Naili Rahmawati
Journal of Social Outreach Vol 5, No 1 (2026): Journal of Social Outreach
Publisher : Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jso.v5i1.13760

Abstract

Akses air bersih yang sulit terjangkau dan pengelolaan distribusi yang tidak transparan menjadi tantangan utama di wilayah pedesaan, termasuk di Dusun Limbungan Utara, Desa Tamansari, Kecamatan Gunungsari, Kabupaten Lombok Barat. Pencatatan tagihan air yang kurang rapi kerap memicu konflik antara pengguna dengan pengurus air sumur bor. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengelolaan sumber daya air sumur bor dengan melakukan pendampingan pencatatan manual menjadi sistem digital berbasis Appsheet. Pendekatan yang digunakan bersifat partisipatif, dimana pengurus dilibatkan secara aktif mulai tahap identifikasi kebutuhan, uji coba, hingga evaluasi aplikasi. Implementasi aplikasi Appsheet dalam pencatatan penggunaan air terbukti meningkatkan efisiensi dan akurasi secara signifikan. Selain itu, sistem digital menciptakan transparansi data sehingga memperkuat kepercayaan masyarakat terhadap pengurus air sumur bor. Keberhasilan program ini menegaskan bahwa transformasi digital pada komunitas dengan tingkat literasi digital yang terbatas dengan cara inklusif melalui setrategi pendampingan yang tepat serta aplikasi dirancang sesuai kebutuhan pengguna.
Peningkatan Literasi Statistik Dasar Mahasiswa PGMI Melalui Pelatihan JASP Dalam Analisis Data Penelitian Ernita, Nevi; Arvy, Baiq Rofina; Fitriyah, Any Tsalasatul; Hidayati, Djuwita
Sasambo: Jurnal Abdimas (Journal of Community Service) Vol. 8 No. 2 (2026): Mei
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/qx0gh534

Abstract

Literasi statistik dasar merupakan kompetensi penting bagi mahasiswa calon guru dalam merancang penelitian, memilih teknik analisis yang tepat, membaca output statistik, dan menyusun kesimpulan berbasis data. Namun, mahasiswa Program Studi Pendidikan Guru Madrasah Ibtidaiyah masih menghadapi kesulitan dalam memahami konsep statistik dasar, menentukan uji statistik, serta menggunakan perangkat lunak statistik untuk mendukung penyusunan skripsi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi statistik dasar mahasiswa PGMI melalui pelatihan dan pendampingan penggunaan JASP sebagai perangkat lunak statistik open-source. Kegiatan dilaksanakan di Universitas Islam Negeri Mataram dengan desain pelatihan berbasis kebutuhan. Asesmen awal melibatkan 99 responden dari 210 mahasiswa sasaran, sedangkan pelatihan inti diikuti oleh 28 mahasiswa kelas C yang dianalisis melalui pretest, posttest, dan angket respons. Pelatihan mencakup penguatan konsep statistik dasar, demonstrasi penggunaan JASP, praktik analisis data, diskusi kasus penelitian pendidikan, serta pendampingan interpretasi output statistik. Hasil kegiatan menunjukkan peningkatan skor rata-rata dari 8,57 pada pretest menjadi 10,89 pada posttest. Uji-t sampel berpasangan menunjukkan perbedaan signifikan dengan nilai p < 0,001 dan Cohen’s d sebesar 0,870, yang menunjukkan efek besar. Respons peserta juga berada pada kategori baik dengan rata-rata 3,91 atau 78,19%. Temuan ini menunjukkan bahwa pelatihan JASP tidak hanya meningkatkan pemahaman statistik dasar, tetapi juga dapat menjadi model pendampingan statistik berbasis software open-source untuk memperkuat kesiapan mahasiswa PGMI dalam analisis data penelitian skripsi. Enhancing Basic Statistical Literacy of PGMI Students through JASP Training in Research Data Analysis  Basic statistical literacy is an essential competence for prospective teacher students in designing research, selecting appropriate statistical tests, interpreting statistical outputs, and drawing evidence-based conclusions. However, students in the Madrasah Ibtidaiyah Teacher Education Program still face difficulties in understanding basic statistical concepts, determining appropriate statistical tests, and using statistical software to support thesis-related data analysis. This community service program aimed to improve the basic statistical literacy of PGMI students through training and mentoring in the use of JASP as open-source statistical software. The program was conducted at Universitas Islam Negeri Mataram using a needs-based training design. The initial needs assessment involved 99 respondents out of 210 targeted students, while the core training involved 28 students from class C who were included in the pretest, posttest, and response questionnaire analysis. The training consisted of strengthening basic statistical concepts, demonstrating the use of JASP, practicing data analysis, discussing educational research cases, and mentoring students in interpreting statistical outputs. The results showed an increase in the mean score from 8.57 in the pretest to 10.89 in the posttest. The paired-sample t-test indicated a significant difference between pretest and posttest scores, with p < 0.001 and Cohen’s d of 0.870, indicating a large effect size. Participants’ responses were also positive, with an overall mean score of 3.91 or 78.19%, categorized as good. These findings indicate that JASP training not only improves students’ basic statistical understanding but also serves as a practical mentoring model based on open-source software to strengthen PGMI students’ readiness to conduct thesis-related data analysis.