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PERAMALAN JUMLAH PENUMPANG PESAWAT DI BANDAR UDARA INTERNASIONAL JUANDA MENGGUNAKAN METODE EXPONENTIAL SMOOTHING EVENT-BASED Yuniar Farida; Suyesti Yusi; Dian Yuliati
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.856 KB) | DOI: 10.30598/barekengvol15iss4pp709-718

Abstract

The increase in the number of airplane passengers occurs at certain times, such as Eid al-Adha, Eid al-Fitr, and Christmas holidays. Of course, an excessive rise in the number of passengers can cause extreme flight traffic density so that which can cause flight delays, decreased airport service level performance, and other impacts. This study predicts the number of aircraft passengers at Juanda International Airport using the Exponential Smoothing Event-Based method. The Exponential Smoothing Event-Based method is a forecasting method that considers special events using the Exponential Smoothing method as the initial calculation. This study uses data on the number of passengers from January 2014 to December 2020. From the forecasting model, MAPE is 11.8905%, and MSE is 4202958561.0706, so that the resulting forecast can be categorized as good.
Forecasting Population of Madiun Regency Using ARIMA Method Yuniar Farida; Mayandah Farmita; Nurissaidah Ulinnuha; Dian Yuliati
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 3 (2022): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i3.16156

Abstract

The high population growth of the Madiun Regency can cause population density that can have implications for other problems, both in terms of social, economic, welfare, security, land availability, availability of clean water, and food needs. This study aims to predict the population growth of Madiun Regency using the ARIMA method. The ARIMA (Autoregressive Integrated Moving Average) method is popular for forecasting time series data, which is reliable because the calculation process is done gradually. This study uses annual population data of Madiun Regency from 1983 to 2021 and produces an ARIMA forecasting model (0,2,1) with a MAPE value of 8.42%. The results of this study are expected to be used as information from the Madiun Regency government in anticipating the emergence of problems caused by the population level of Madiun Regency in the future.
Selecting The Best Broiler Chicken Supplier of PT Sentral Unggas Perkasa Using Analytical Hierarchy Process and Weighted Product Methods Yuniar Farida; Putri Krismadewi; Dian Yuliati; Hani Khaulasari
Jurnal Ilmiah Teknik Industri Vol. 21, No. 2, December 2022
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v21i2.18045

Abstract

PT SUP is one of the companies engaged in trading broiler chicken products. Supplying broiler chickens to PT SUP sometimes results in product instability, and some conditions are inadequate; the financing process is not by income or obstacles that occur when serving customers. So this can disappoint the customers of PT SUP. This study aims to select suppliers for 4 out of 6 breeders chosen as the best suppliers and will get a reward from PT SUP to improve the performance and product results of the suppliers. The selection of the best supplier is based on the criteria that have been owned, namely Based on Curriculum Vitae (CV), location of the cage, capital, and service. The six suppliers come from 3 (each city has two suppliers), namely Lumajang, Lamongan, and Kediri. In this study, the author uses the AHP (Analytic Hierarchy Process) method to produce a consistent value of comparison results. It can be continued with the WP (Weighted Product) approach to get the value of the V vector for ranking alternatives. PT SUP will beard the results of the selection of the best four suppliers. The best supplier of PT SUP are Y1, Y4, Y2 dan Y3. Combining these two methods is a form of contribution to the MCDM enrichment.
Pengaruh Investasi Terhadap Pertumbuhan Ekonomi Jawa Timur Tiarra Dellaviyanie Muryanto; Yuniar Farida; Nurissaidah Ulinnuha; Hani Khaulasari; Dian Yuliati
Jurnal Matematika Integratif Vol 18, No 2: Oktober 2022
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.005 KB) | DOI: 10.24198/jmi.v18.n2.40732.157-166

Abstract

Pada masa pandemic Covid-19, pertumbuhan ekonomi Indonesia sempat mengalami penurunan. Hal ini juga terjadi pada beberapa daerah seperti Jawa Timur. Salah satu faktor yang berpengaruh terhadap pertumbuhan ekonomi adalah investasi, baik itu investasi asing (PMA) maupun investasi dalam negeri (PMDN). Penelitian ini bertujuan untuk menganalisis pengaruh PMDN dan PMA terhadap pertumbuhan ekonomi Jawa Timur. Metode yang digunakan dalam penelitian ini yaitu regresi linear berganda dengan estimasi parameter OLS (Ordinary Least Square). Metode OLS merupakan suatu metode regresi dengan meminimalkan nilai error kuadratnya. Hasil yang diperoleh pada penelitian ini yaitu PMDN berpengaruh terhadap pertumbuhan ekonomi secara signifikan sedangkan PMA tidak berpengaruh terhadap pertumbuhan ekonomi. Model menghasilkan R2 sebesar 53.7%. Penelitian ini diharapkan dapat memberikan informasi yang berguna bagi pengambil kebijakan untuk meningkatkan pertumbuhan ekonomi melalui investasi.
Evaluation of Food Security Area of East Java Province Using Fuzzy C-Means (FCM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Yuniar Farida; Ghina Salsabila Firdaus; Ahmad Teguh Wibowo; Silvia Kartika Sari; Latifatun Nadya Desinaini
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 4 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.82297

Abstract

The formation of quality human resources cannot be separated from food, as nutritional intake affects human performance and health. As time increases, the number of residents increases to increase food needs. The ability of a region to meet food needs in its territory is different from other regions. This study aims to classify regions in East Java Province based on food security and determine areas with the best and lowest food security. The method used is the Fuzzy C-Means (FCM) and TOPSIS methods.This research uses criteria based on the Food Security Index compiled by the Food Security Agency. The results of regional clustering using FCM selected the best cluster using three clusters for all requirements, except in food utilization in the city using five clusters. Furthermore, from the clustering results, clustering and cluster members use TOPSIS and produce Magetan regency and Madiun city as areas with the highest food security. At the same time, the lowest food securities are Probolinggo regency and Kediri city.
Comparing Support Vector Machine and Naïve Bayes Methods with A Selection of Fast Correlation Based Filter Features in Detecting Parkinson's Disease Yuniar Farida; Nurissaidah Ulinnuha; Silvia Kartika Sari; Latifatun Nadya Desinaini
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 2 (2023): Vol. 14, No. 2 August 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i02.p02

Abstract

Dopamine levels fall due to brain nerve cell destruction, producing Parkinson's symptoms. Humans with this illness experience central nervous system damage, which lowers the quality of life. This disease is not deadly, but when people's quality of life decreases, they cannot perform daily activities as people do. Even in one case, this disease can cause death indirectly. Contrast support vector machines (SVM) and naive Bayesian approaches with and without fast correlation-based filter (FCBF) feature selection, this study attempts to determine the optimum model to detect Parkinson's disease categorization. In this study, datasets from the UCI Machine Learning Repository are used. The results showed that SVM with FCBF achieved the highest accuracy among all the models tested. SVM with FCBF provides an accuracy of 86.1538%, sensitivity of 93.8775%, and specificity of 62.5000%. Both methods, SVM and Naive Bayes, have improved in performance due to FCBF, with SVM showing a more significant increase in accuracy. This research contributed to helping paramedics determine if a patient has Parkinson's disease or not using characteristics obtained from data, such as movement, sound, or other pertinent factors.
Pendampingan Guru Madrasah untuk Mewujudkan Kompetensi Pedagogik Guru Matematika yang Berdaya Melalui Penguasaan Soal High Order Thinking Skills (HOTS) Moh Hafiyusholeh; Ahmad Lubab; Ahmad Hanif Asyhar; Aris Fanani; Yuniar Farida; Dian C. Rini Novitasari; Nurissaidah Ulinnuha; Putroue Keumala Intan; Wika Dianita Utami; Zainullah Zuhri; Ahmad Zaenal Arifin; Dian Yuliati; Abdulloh Hamid
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2020): May 2020
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/engagement.v4i1.97

Abstract

High Order Thinking Skills (HOTS) is the ability to connect, manipulate, and change the knowledge and experience that is owned critically and creatively in determining decisions to solve problems in new situations. To include HOTS questions in a learning process is an obstacle for Madrasah teachers, including teachers of PC. LP. Maarif NU Lamongan. This community service aimed at improving the pedagogical competence of mathematics teachers of PC. LP. Maarif NU Lamongan. Community-Based Research (CBR) was employed through workshop and training administered by the Mathematics Study Program of UIN Sunan Ampel Surabaya in designing and completing high order thinking questions followed by assistance. The results indicated that the ability of Madrasah teachers to solve HOTS questions as well as its implementation in classroom teaching and learning activities improved significantly.
Economic Empowerment of Housewives Based on OPOR (One Product in One RT) in Pojok Village of Magetan Regency, Using the Asset-Based Community-Driven Development (ABCD) Approach Yuniar Farida; Wika Dianita Utami; Aris Fanani; Latifatun Nadya Desinaini; Silvia Kartika Sari
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2022): May 2022
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v6i1.1161

Abstract

Nowadays, the improvement in resources, especially among women, is considered. One of the efforts to empower women in the village can be done through the assistance of Micro, Small, and Medium Enterprises (MSMEs). This research-based community service aims to assist the community, especially women (housewives) in Pojok Village of Magetan Regency, in developing home businesses. This community service is carried out by using ABCD approach, which is an approach to understanding and internalizing assets, potential, strength, and utilization independently and optimally. The results of the community service carried out by researchers have positive impact to the community and it fosters a high desire and enthusiasm to make changes for the better in the development of marketing businesses, both during the mentoring process and post-mentoring so that the economy in Pojok Village, Magetan Regency can increase