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All Journal Jurnal Ilmiah Kursor Infestasi Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Parameter: Journal of Statistics Journal Focus Action of Research Mathematic (Factor M) NERO (Networking Engineering Research Operation)
Ira Yudistira
Universitas Islam Madura
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mathematics Medicine & Pharmacology Social Sciences Other

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STRATEGI PEMASARAN PRODUK OLAHAN PEPAYA MENJADI ABON GUNA MENINGKATKAN EKONOMI MASYARAKAT DALAM USAHA RUMAHAN Firdausiyah Firdausiyah; Tony Yulianto; Ira Yudistira
ABDIMAS UNWAHAS Vol 6, No 2 (2021)
Publisher : Universitas Wahid Hasyim Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31942/abd.v6i2.5547

Abstract

UMKM merupakan sektor ekonomi utama yang berperan dalam pertumbuhan perekonomian nasional. Adapun contoh UMKM salah satunya adalah usaha rumahan. Usaha rumahan berupa produk abon pepaya sudah mulai diperjualbelikan di kalangan masyarakat namun belum dikenal oleh masyarakat secara luas karena penjualan yang hanya dilakukan di sekitar lingkungan rumah. Dengan demikian dibuatlah pelatihan mengenai strategi pemasaran produk abon pepaya seperti pengemasan produk yang modern dan juga promosi melalui sosial media. Jumlah peserta pelatihan sebanyak 3 ibu rumah tangga yang keluarganya memiliki tanaman buah pepaya. Hasil dari pelatihan ini adalah meningkatnya pengetahuan masyarakat mengenai pentingnya menyusun strategi pemasaran dalam sebuah usaha, hal ini dapat dilihat pada tingkat pemahaman mitra terhadap pelatihan yang telah diberikan yaitu  67% mitra sudah dapat memahami, 33% sedikit paham dan 0% tidak paham. Serta setelah menarapkan materi yang diberikan saat pelatihan dan dilakukan evaluasi, sehingga terjadi peningkatan penjualan dimana pada hari pertama sebelum evaluasi jumlah produk yang terjual sebanyak 4 buah dan hari kedua terjual sebanyak 6 buah. Setelah diadakan evaluasi penjualan bertambah yang awalnya pada hari pertama hanya terjual 7 buah namun pada hari kedua penjualan bertambah menjadi 11 buah. sehingga strategi pemasaran melalui pengemasan yang modern serta promosi melalui sosial media ini dapat diterapkan dalam sebuah usaha.Kata kunci: Abon, Ekonomi, Pemasaran, Pepaya 
THE PARAMETRIC AND NONPARAMETRIC ESTIMATOR IN SEMIPARAMETRIC REGRESSION FOR LONGITUDINAL DATA WITH SPLINE APPROACH Tony Yulianto; Kuzairi Kuzairi; Noer Azizah; M. Fariz Fadillah Mardianto; Ira Yuditira; Faisol Faisol; Rica Amalia
Jurnal Ilmiah Kursor Vol 11 No 4 (2022)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i4.316

Abstract

Regression analysis aims to determine the relationship between response variables and predictor variables. There are three approaches to estimate regression curves, there are parametric, nonparametric, and semiparametric regression. In this study, the form of spline semiparametric regression curve estimator for longitudinal data assessed. Based on the estimator that be obtained by using Weighted Least Square (WLS) optimization applied to model electricity consumption in Madura by choosing a model for longitudinal data based on linear spline estimator with two knot. The good criterion of the model is using the GCV value, the coefficient of determination and the value of MSE. The best model is a model that has a high coefficient of determination and a small MSE value. This spline model has a determination coefficient value of 99,72911% and MSE 32,50458.
Comparison modeling of the number population who have been vaccined in East Java using the biresponse Fourier series estimator method with the trend function Yudistira, Ira; Rohman, Naylur; Mardianto, M Fariz Fadillah; Kuzairi
Journal Focus Action of Research Mathematic (Factor M) Vol. 6 No. 1 (2023)
Publisher : IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/factor_m.v6i1.685

Abstract

Vaksinasi adalah proses pemberian vaksin pada tubuh manusia yang bertujuan untuk meningkatkan kekebalan tubuh secara aktif terhadap suatu penyakit dan tidak menjadi sumber penularan penyakit tersebut. Vaksinasi massal merupakan sebuah keharusan yang harus dipenuhi untuk menanggulangi permasalahan wabah Covid-19 yang melanda seluruh dunia termasuk Indonesia. Pada tahun 2021 pelaksanaan vaksinasi Covid-19 di Jawa timur baru mencapai 50% dari total sasaran yang divaksin. Kekebalan imunitas tercapai ketika 70% penduduk telah divaksin. Sementatra ini pelaksanaan program vaksinasi pemerintah sudah mencapai pada vaksin dosis kedua. Berdasarkan uraian tersebut peneliti bertujuan untuk membandingkan pemodelan jumlah penduduk yang telah divaksin dosis pertama dan kedua menggunakan metode deret Fourier Birespon dengan Fungsi Tren. Kriteria kebaikan model yang digunakan adalah nilai GCV dan MSE terkecil, serta nilai koefisien determinasi tertinggi. Model yang diperoleh dalam penelitian ini adalah model dengan basis sinus cosinus. Model tersebut mempunyai nilai GCV dan MSE lebih kecil dibandingkan nilai GCV dan MSE pada basis cosinus dan sinus. Koefisien determinasi model tersebut sebesar menunjukkan nilai yang besar.  Vaccination is a process carried out by the human body that aims to increase the body's active immunity against a disease so that people who are vaccinated will not get sick. The Covid-19 outbreak hit the whole world, including Indonesia. Currently, the implementation of the Covid-19 vaccination in East Java has only reached 50% of the total target being vaccinated. The requirement to achieve immunity must be that 70% of the population has been vaccinated. Based on this description, the researcher aims to compare the modeling of the population that has been vaccinated with the first and second doses using the Fourier series bi-response method with a trend function. The criteria for the goodness of the model in this study used small GCV and MSE values and a high coefficient of determination. The model has smaller GCV and MSE values ​​than the cosine and sine basis. The coefficient of determination of the model shows a large value.
Pengelompokan Jumlah Wisatawan Nusantara Menggunakan Fuzzy Learning Vector Quantization Fauzan, Fauzan; Yulianto, Tony; Faisol, Faisol; Yudistira, Ira; ku, Kuzairi
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.7277

Abstract

Tourism is a variety of tourist activities and support from facilities and services provided by interested parties, such as the community, entrepreneurs and the goverment. Tourists are people who visit a destination outside of their daily activities within a certain period of time. There are several provinces that are classified as having minimal tourists, so they require government evaluation in providing good services in order to increase tourists in terenst in provinces that are classified as having minimal tourists. Therefore, to group the number of tourists, research will be carried out using a combination of data mining and fuzzy logic, namely the fuzzy learning vector quantization method. The research results obtained: For Euclidean Distance, there are 10 provinces in cluster 1 and there are 24 provinces in cluster 2. For squareeuclidean distance, there are 32 provinces in cluster 1 and there are 2 provinces in cluster 2. For city block distance there is 1 province which is included in cluster 1 and there are 33 provinces which are included in cluster 2. For the Chebychev distance there are 10 provinces which are included in cluster 1 and there are 24 provinces which are included in cluster 2. The final result which was chosen as the best is Euclidean however after checking the validity method it is in the formula squareeuclidean with value of PC= 8.32165E+26, CE=-8.94064E+14, and IFV= -1.4892E+13
PERBANDINGAN METODE FUZZY TIME SERIES CHEN DAN METODE EXPONENTIAL SMOOTHING DALAM MEMPREDIKSI CURAH HUJAN DI KABUPATEN PAMEKASAN Tamam, Moh. Badrit; Kuzairi, Kuzairi; Yulianto, Toni; Faisol, Faisol; Yudistira, Ira; Amalia, Rica
NERO (Networking Engineering Research Operation) Vol 9, No 2 (2024): Nero - 2024
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v9i2.27986

Abstract

This research aims to predict rainfall in Pamekasan Regency, Madura, East Java, using two prediction methods: Fuzzy Time Series Chen and the Exponential Smoothing (ES) method, specifically Double Exponential Smoothing (DES). The data used in this study consists of monthly rainfall data from January 2011 to December 2023, covering a period of 13 years. The data was sourced from reliable records that regularly track rainfall in the region. In the analysis, both methods were applied to generate accurate predictions of rainfall patterns in Pamekasan Regency. Based on the calculations and performance evaluation, the best method for predicting rainfall in this region was found to be Double Exponential Smoothing Holt. This method uses two key parameters: alpha at 0.4 and beta at 0.6. After applying this method, a Mean Absolute Percentage Error (MAPE) of 1.479 was obtained, indicating a very low and acceptable level of prediction error. Therefore, it can be concluded that the Double Exponential Smoothing Holt method is an effective and accurate approach for predicting rainfall in Pamekasan Regency based on the historical data used..Keywords: Rainfall; Pamekasan Regency; Prediction; Chen's Fuzzy Time Series and Exponential Smoothing (ES) Method
Penentuan Strategi Pemasaran dari Penjualan Air Minum Dalam Kemasan Lokal dan Nasional Menggunakan Metode Fuzzy Shapley Value Hasanah, Nurul; Yulianto, Tony; Yudistira, Ira
Zeta - Math Journal Vol 6 No 2 (2021): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2021.6.2.54-61

Abstract

Air minum dalam kemasan (AMDK) adalah air baku yang telah melalui sebuah proses sterilisasi, dikemas, dan aman untuk diminum mencakup air mineral dan air demineral. Beberapa tahun terakhir ini penjualan AMDK di Indonesia berkembang sangat pesat sehingga perlu diadakannya penentuan strategi pemasaran dari penjualan AMDK lokal dan nasional. Penjualan merupakan salah satu indikator paling penting dalam sebuah perusahaan, bila tingkat penjualan yang dihasilkan oleh perusahaan tersebut besar, maka laba yang dihasilkan perusahaan itupun akan besar pula, sehingga perusahaan dapat bertahan dalam persaingan bisnis dan bisa mengembangkan usahanya baik itu AMDK lokal ataupun nasional. Metode yang dapat digunakan dalam penentuan strategi pemasaran AMDK lokal dan nasional adalah metode fuzzy Shapley Value. Dan dari hasil penerapan metode Fuzzy Shapley Value dengan menggunakan persentase penjualan adalah 25%, desain 32% dan harga 43%, harga memiliki nilai fuzzy shapley value terbesar dalam menentukan strategi pemasaran dari penjualan air minum dalam kemasan lokal ataupun nasional. Jadi, hasil harga ini dapat dijadikan pedoman strategi pemasaran dalam memberikan penilaian terhadap produk air minum dalam kemasan lokal dan nasional.
FORECASTING MODEL FOR THE DYNAMICS OF THE CONSUMER PRICE INDEX IN THE HEALTH SECTOR IN EAST JAVA USING THE ARIMA-GARCH MODEL Imamatul Banat Banat; Ira Yudistira; Wintan Konitania; Kuzairi
Parameter: Journal of Statistics Vol. 5 No. 2 (2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2025.v5.i2.17627

Abstract

The Consumer Price Index (CPI) is a measure of development success and inflation rates in a country. The CPI is often used to assess the general rate of increase in the prices of goods and services and as a consideration in adjusting salaries, wages, pensions, and other contracts. Therefore, forecasting the CPI is very useful for formulating future policies, including in the health sector. This study aims to create a CPI forecasting model for the health sector in East Java using the ARIMA-GARCH model, namely the integration of the ARIMA model with the GARCH model. The data used were monthly CPI data from January 2020 to December 2023 obtained from the Central Statistics Agency (BPS). The ARIMA model is used to capture long-term trends, while the GARCH model is applied to handle residual heteroscedasticity. The identification results showed that the best ARIMA model is ARIMA(2, 2, 2) with all coefficients statistically significant but heteroscedasticity occurs in the therefore, GARCH modeling is applied to the residuals. Based on the lowest Akaike Information Criterion (AIC) value of 8.342491, the GARCH(1,0) model was selected as the best model. The combined ARIMA(2,2,2)–GARCH(1,0) model produced an AIC value of 18.583 and an RMSE of 0.251383. Residual diagnostic tests indicated that the resulting model meets the assumptions of normal distribution and homogeneity, and there is no significant autocorrelation. The results of this study are expected to contribute to providing predictive information that can be used by the government as a reference in formulating health sector policies, particularly regarding managing the prices of goods and services to maintain economic stability in East Java.
Digital Financial Decisions: Evidence on Social Influence, Technology, and Herd Behavior in Emerging Financial Ecosystems Halimatus Sakdiyah; Ira Yudistira; Imam Wahyudi
InFestasi Vol 22, No 1 (2026): JUNE
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/infestasi.v22i1.33892

Abstract

The rapid growth of digital financial ecosystems has transformed how individuals make investment and consumption decisions within socially connected and technology-driven environments. This study examines the influence of psychological, social, and technological factors on herd behavior and digital investment decisions, as well as their implications for perceived market impact. Using a quantitative approach, data were collected from 105 active users of digital financial platforms in East Java, Indonesia, including cryptocurrency investors, paylater users, and digital investment application users. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The findings reveal that social and technological factors positively and significantly influence investment and consumption decisions, while psychological factors significantly affect herd behavior but do not directly influence investment decisions. Herd behavior also does not significantly moderate the relationships between psychological, social, and technological factors and investment decisions. Furthermore, investment and consumption decisions significantly contribute to perceived market impact. These findings indicate that digital financial behavior is increasingly shaped by social interaction and technological facilitation rather than solely by internal psychological mechanisms. This study contributes to behavioral finance literature by extending herd behavior analysis into digitally mediated financial environments.
Co-Authors Amalia, Rica Faisol, Faisol Fauzan . Firdausiyah Firdausiyah Halimatus Sakdiyah Imam Wahyudi Imamatul Banat Banat ku, Kuzairi Kuzairi M. Fariz Fadillah Mardianto Muhammad Luthfi Noer Azizah Nurul Hasanah Rica Amalia Rohman, Naylur Tony Yulianto Tony Yulianto Wintan Konitania Yulianto, Toni Zuhrotul Hasanah