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All Journal Jurnal Ilmiah Kursor Journal of Natural Sciences and Mathematics Research Jurnal Matematika: MANTIK Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Jurnal Abdi: Media Pengabdian Kepada Masyarakat Contemporary Mathematics and Applications (ConMathA) Didaktika: Jurnal Pemikiran Pendidikan Tensor: Pure and Applied Mathematics Journal Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) NERO (Networking Engineering Research Operation) Journal of Studies in Academic, Humanities, Research, and Innovation
Tony Yulianto
Universitas Islam Madura
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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Prediction of seawater salinity based on comparison of truncated spline estimators, Fourier Series and Kernel Faisol, Faisol; Mardianto, M. Fariz Fadillah; Yudistira, Ira; Yulianto, Tony; Hasanah, Sarmiatul
Journal of Natural Sciences and Mathematics Research Vol. 9 No. 1 (2023): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

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Abstract

Salinity is one of the factors that affect salt production. Salinity is defined as the level of saltiness or too much salt in water. The salt in question is a variety of ions dissolved in water, including table salt (NaCl). The higher the level of NaCl contained, the better the quality of the salt formed. This low quality causes Indonesia to import salt, both consumption salt and industrial salt. Because most of the quality of salt still does not meet the criteria of SNI. For this reason, it is necessary to predict the salinity of seawater to help determine the next steps or policies in improving the quality of salt in Indonesia, especially in the Madura area. This research is examined in the form of a nonparametric regression curve estimator with a truncated spline estimator approach, Fourier series and kernel. From the comparison results, the best model for predicting seawater salinity is the estimator of the Fourier series base sine cosine with an oscillation parameter (k) of 2 with a GCV value of 5.017987 and MSE and a coefficient of determination of 0.06299933 and 94.64373%. So the prediction results obtained in this study are close to accurate with MAPE values of 0.07225208%, MSE of 0.0001441417 and coefficient of determination of 99.99%.
Analisis Chi Square Untuk Mengetahui Hubungan Antara Karakteristik Konsumen Dengan Sikap Konsumen Fathorrozi Ariyanto; Tony Yulianto; Jamilatul Isti’adah
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.9961

Abstract

Aprilia Handmade is a unique brand, handicraft, creative and others. Consumer priorities towards products are influenced by their attitudes that influence purchases and tight competition. This study aims to determine whether there is a relationship between consumer characteristics and consumer attitudes towards fashion products (Case study at Aprilia Handmade Sumenep). Data collected using questionnaires, observations, and documentation, with the population being consumers who have visited or buyers at Aprilia Handmade Sumenep, where the sampling technique was carried out with a purposive sampling method with a sample size of 100 respondents. The data analysis method uses Contingency Coefficient Analysis to relate the relationship between products, promotions, prices, and purchasing decisions. From the analysis, it was obtained that the quantitative results using Chi Square X2 analysis were: Products with a value of X2 = 415, Promotions with a value of X2 = 4.589, Prices with a value of X2 = 0.671, and Purchase decisions with a value of X2 = 1.523. From manual calculations, the same results were obtained using SPSS window 20.0. The results of the study indicate that between products, promotions, prices, and purchasing decisions have a significant relationship with consumer attitudes towards fashion products. This is indicated by the results of the interpretation of the contingency coefficient which is quite strong or quite good.
Comparison Of Moving Average Methods For Forecasting Recommendation Letters By Licensing Type In Pamekasan Regency Ani Alfiya Fahad; Kuzairi; Tony Yulianto
Journal of Studies in Academic, Humanities, Research, and Innovation Vol. 3 No. 1 (2026): Vol 3 No 1 June 2026
Publisher : Ponpes As-Salafiyyah Asy-Syafi'iyyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71305/sahri.v3i1.264

Abstract

Recommendation letters play an important role in various aspects of life, such as applying for assistance, business permits, and support for social activities. This letter serves as a means of providing official support from the authorities to individuals or groups in need, whose numbers need to be predicted for sustainable management. The forecasting method that is widely used is Moving Average, and in this study, In this study, predictions of the number of issued recommendation letters from 2021 to 2024 were carried out using the single moving average, exponential moving average and weighted moving average methods. The results of the study showed that the single moving average method was proven to be the best method with a MAPE value of (43.8073), followed by the exponential moving average method with a MAPE value of (47.0741), and the weighted moving average with a MAPE value of (47.0741). So the forecasting method that is considered feasible is the single moving average method as shown by its MAPE range value. Thus, the single moving average method is determined to be the best forecasting method for predicting future recommendation letter issuance.
Co-Authors Amalia, Rica Anekawati, Anik Ani Alfiya Fahad Anisa Anisa Anisa A’lailliyyin1, A’lailliyyin Buhari Buhari Dian Fitriani Emi Yunita Fachry Abda El Rahman Faisol Faisol Faisol Faisol, Faisol Fathorrozi Ariyanto Fatimatus Zahroh Fauzan . Firdausiyah Firdausiyah Hasan Hasan Hasanah, Sarmiatul Ilmiyatus Solehah Ira Yudistira Ira Yudistira Jamilatul Isti’adah ku, Kuzairi Kuzairi Lilik Safitri M. Fariz Fadillah Mardianto Mahrus Mahrus, Mahrus Moch. Haikal Moh. Yaqin Mohamad Tafrikan Mufarrohah, Mufarrohah Muhammad Luthfi Muhammad Rivai Na'malia, sakinun Noer Azizah Nur Jannah Nurfitriyah, Luluk Nurmadhani, Nadya Nurul Hasanah Nurul M’rifatil Laila Putri Amaningsih Qurrotul Aini Rahmah, Alfiana Faizzatur Rica Amalia Rica Amalia Rica Amalia Riyatun Hasanah Sari, Iin Nofita Siti Amiroch, Siti Siti Anisah Siti Romlah Sofiyanto, Sofiyanto Sofyan, Moh. Sri Suryanti Suci Rohani Tengku Riza Zarzani N Ulfaniyah, Nur Ita Ummi Nur Yatun Hasanah Yaqin, Moh Yudistira, Ira Yulianto, Toni Zaifullah, Zaifullah Zainuddin, Moh Zuhrotul Hasanah Zulaikha, Layla Imroatu