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All Journal JMathCos (Journal of Mathematics, Computation, and Statistics) Jurnal Terapan Abdimas Jurnal Matematika Sains dan Teknologi MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Journal of Mathematics Education and Science Journal of Fundamental Mathematics and Applications
Mizan Ahmad
Universitas Nahdlatul Ulama Al Ghazali Cilacap
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Education Mathematics Other

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IMPLEMENTASI SPSS DALAM ANALISIS DATA BAGI MAHASISWA DI CILACAP Riski Aspriyani; Bryan Pudji Hartono; Mizan Ahmad; Eka Susilowati
Jurnal Terapan Abdimas Vol 7, No 2 (2022)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jta.v7i2.12717

Abstract

Abstract. Statistics is a field of science that can be used as a theory to assist in making research decisions, especially quantitative research. Appropriate statistical tests are needed to analyze research data based on the formulated hypotheses. For this reason, a good ability in analyzing data is needed. The process of data analysis in quantitative research can be assisted using the SPSS statistical program. Most of the students in Cilacap who have an interest in quantitative research still need additional knowledge about the statistical tests used such as the T-test, Analysis of Variance and Regression, and Linear Correlation. In addition, many students have difficulty analyzing data using the SPSS program. Misunderstanding in reading SPSS output results caused many errors to occur. On the other hand, many students do not understand the prerequisites for hypothesis analysis and do not know the procedures or steps for data processing using SPSS. For this reason, a deeper understanding and training are needed to process data using SPSS. The SPSS training was conducted using lectures, question and answer methods, and practicals. In the process, they were very active in asking questions and actively following all the material given by the resource persons. The instrument is given as evaluation material for further service. it was obtained that the achievement of all aspects was classified as good with details on the suitability aspect of statistical tests with problems of 83%, the achievement of variable research aspects of 81%, the achievement of data processing aspects using SPSS of 86%, the achievement of SPSS output interpretation of 89%. Abstrak. Statistika merupakan bidang ilmu yang dapat menjadi teori untuk membantu dalam pengambilan keputusan suatu penelitian khususnya penelitian kuantitatif. Dalam menganalisis data penelitian dibutuhkan uji statistik yang sesuai berdasarkan hipotesis yang dirumuskan. Untuk itu, diperlukan kemampuan yang baik dalam menganalisis data. Proses analisis data dalam penelitian kuantitatif dapat dibantu menggunakan program statistika SPSS. Mahasiswa di Cilacap yang memiliki minat dalam penelitian kuantitatif sebagian besar masih membutuhkan tambahan pengetahuan mengenai uji statistik yang digunakan seperti uji T, Analisis Variansi serta Regresi dan Korelasi linear. Selain itu, banyak mahasiswa yang kesulitan dalam analisis data menggunakan program SPSS. Ketidakpahaman dalam membaca hasil output SPSS menyebabkan tidak sedikit kekeliruan terjadi. Di sisi lain, banyak mahasiswa yang tidak paham akan prasyarat analisis hipotesis, serta ketidaktahuan prosedur atau langkah pengolahan data menggunakan SPSS. Untuk itu, tujuan kegiatan ini dilakukan ialah untuk memberikan tambahan pengetahuan, pemahaman dan keterampilan dalam mengolah data menggunakan SPSS. Pelatihan SPSS ini dilakukan dengan metode ceramah, tanya jawab serta praktikkum. Dalam prosesnya mereka sangat aktif bertanya dan aktif mengikuti semua materi yang diberikan oleh narasumber. Instrumen diberikan sebagai bahan evaluasi untuk pengabdian selanjutnya. Diperoleh bahwa ketercapaian seluruh aspek tergolong kategori baik dengan rincian pada aspek kesuaian uji statistik dengan permasalahan penelitian sebesar 83%, ketercapaian aspek identifikasi variabel penelitian sebesar 81%, ketercapaian aspek pengolahan data menggunakan SPSS sebesar 86%, serta ketercapaian intepertasi output SPSS sebesar 89%.
BEBERAPA KELAS RUANG BARISAN SELISIH DIPERUMUM TIPE CESARO Mizan Ahmad
Journal of Fundamental Mathematics and Applications (JFMA) Vol 5, No 1 (2022)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1024.615 KB) | DOI: 10.14710/jekk.v%vi%i.13285

Abstract

In this paper, we discuss about some classes of Cesaro Generalized differencesequence spaces. We observe their completeness and the relationships betweenthem. At the end of this paper, we construct the Kothe-Toeplitz dual of some class of Cesaro difference sequence spaces.
Ruang Barisan Selisih Diperumum Tipe Cesaro pada Ruang Bernorma-n Mizan Ahmad; Riski Aspriyani
Journal of Fundamental Mathematics and Applications (JFMA) Vol 5, No 2 (2022)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v5i2.15747

Abstract

Pada tulisan ini dibahas mengenai beberapa kelas ruang barisan selisih diperumum Cesaro pada ruang bernorma-n. Diselidiki kelengkapan masing-masing kelas dan hubungan antar kelas. Pada akhir tulisan ini, dikonstruksikan dual Kothe-Toeplitz dari beberapa ruang barisan selisih diperumum Cesaro pada ruang bernorma-n.
Prediksi Jumlah Siswa Baru Menggunakan Least Square Method Riski Aspriyani; Mizan Ahmad
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol. 6 No. 1 (2023): Vol 6 No 1 Maret 2023
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamath.v6i1.2517

Abstract

In the process of admitting new students, each school has a different strategy to increase the number of applicants and the number of students accepted. The publication strategy is structured to achieve the expected goals or to get the number of students according to the quota. The publication strategy will work well if the school has predictive data on the number of students that will come. Therefore, researchers do research with the purpose to predict the number of new students at SMA Ya Bakii 1 Kesugihan using the Trend Linear model with the Least Square to the number of new students from 2002/2003 to 2022/2023. The results of the analysis show that the Least Square Method prediction model in the form of y =49.424+4.463x gives accurate or good results with a MAPE value of 11.996%. While the prediction results for the next five years, namely 2023/2024, 2024/2025, 2025/2026, 2027/2028, and 2029/2030 are 148 students, 152 students, 157 students, 161 students, and 165 students.
Optimasi Jaringan Distribusi Air di Desa Gombolharjo Menggunakan Algoritma Prim Wifqy Inayatul Ilahy; Mizan Ahmad; Bryan Pudji Hartono
Journal of Mathematics Education and Science Vol. 6 No. 2 (2023): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/james.v6i2.1896

Abstract

Perumdam Tirta Wijaya merupakan perusahaan yang bergerak dibidang penyediaan air bersih. Salah satu hal yang penting dalam pendistribusian air bersih adalah jaringan pipa. Jaringan pipa yang terpasang harus dibuat seminimal mungkin untuk mendistribusikan air secara merata. Oleh karena itu, penelitian ini bertujuan untuk menentukan rute terpendek pada jaringan pipa di Gombolharjo Kecamatan Kesugihan Kabupaten Cilacap dengan menggunakan Algortima Prim’s. Berdasarkan hasil penelitian ini, diperoleh total pipa sepanjang 5706 m.
Kendali Optimal pada Penyebaran Penyakit Covid-19 berdasarkan model SIVRS Ratna Widayati; Mizan Ahmad; Noor Sofiyanti
Journal of Mathematics Computations and Statistics Vol 6, No 2 (2023): Oktober
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v6i2.51735

Abstract

This study discusses the spread of Covid-19 disease with the assumption that there is a subpopulation of individuals infected with the new variant of Covid-19. Transmission can occur between individuals in susceptible subpopulations and individuals in subpopulations infected with Covid-19. SIVRS model is used by assumes that there is control variable in the form of the vaccination strategy given to susceptible individuals. This study aims to minimize the number of individuals in the subpopulation infected and infected with the new variant. An analysis of the optimal control solution was carried out using the Hamiltonian function and then solving it using the Sweep Forward and Back method in Matlab. The results show that the vaccination strategy implemented can minimize the number of individuals in the subpopulation infected and infected with the new variant.
Forecasting Daily Maximum and Minimum Air Temperatures in The Cilacap District Using Arima and Exponential Smoothing Hana Yulia Anggraeni; Riski Aspriyani; Mizan Ahmad
Jurnal Matematika Sains dan Teknologi Vol. 24 No. 2 (2023)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v24i2.5078.2023

Abstract

This research aims to predict daily maximum and minimum air temperatures in Cilacap Regency using ARIMA and Exponential Smoothing. Data was obtained from recordings carried out by BMKG Cilacap using maximum and minimum thermometers taken from January 1, 2016, to December 31, 2021. The results show that the best forecasting model uses the ARIMA (2,1,2) model for maximum temperature and the ARIMA (1,1,1) model for minimum temperature, with the MAPE value of 2.09% for the maximum temperature and 2.44% for the minimum temperature, while the RMSE value obtained is 0.9177 for the maximum temperature and 0.8001 for the minimum temperature. Based on the ARIMA model, Cilacap's daily maximum temperature in 2022 was predicted to be around 30.6ᵒC, with a 95% confidence interval between 28ᵒC - 35ᵒC, while the minimum temperature was predicted to be around 25.1ᵒC, with a 95% confidence interval between 23ᵒC - 28ᵒC.
Co-Authors Bryan Pudji Hartono Eka Susilowati Hana Yulia Anggraeni Noor Sofiyanti Ratna Widayati Riski Aspriyani Wifqy Inayatul Ilahy