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All Journal Jurnal Matematika PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Jurnal Mantik Jurnal Varian Jurnal Karinov Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Kajian Matematika dan Aplikasinya
Trianingsih Eni Lestari
Universitas Negeri Malang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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PELATIHAN DAN PENDAMPINGAN GURU MATEMATIKA DALAM MENGEMBANGKAN MEDIA PEMBELAJARAN BERBANTUAN KOMPUTER Lestari, Trianingsih Eni; Hidayah, I. N.; Oktaviana, L. T.; Yunus, M.
PEDULI: Jurnal Ilmiah Pengabdian Pada Masyarakat Vol 3 No 1 (2019)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.805 KB) | DOI: 10.37303/peduli.v3i1.141

Abstract

Teachers as the spearhead in class play an important role in facilitating students to understand mathematical concepts. Based on observations and preliminary surveys in vocational schools show that mathematics learning has rarely used the media to visualize concepts in mathematics. So that the aim of the service in the form of training is vocational teachers in order to be able to teach their students to use computer-aided learning media, namely to apply graph visualization and spatial geometry. The implementation includes 3 stages, namely workshop 1 on training material in developing computer-aided mathematics learning media, the design of lesson plans and implementation in classrooms and workshop 2 in the form of reflection. The results of the implementation of the service show that there are positive benefits for the teacher, that is, getting used to doing learning by using a computer as a learning medium. In addition, students become familiar with mathematical software to make it easier to understand mathematical concepts and learning becomes more fun.
PENERAPAN ALGORITMA EXPECTATION-MAXIMIZATION (EM) DALAM MENGELOMPOKKAN POPULARITAS OBJEK WISATA DI MALANG RAYA BERDASARKAN INDIKATOR BANYAK PENGUNJUNG Nur Atikah; Swasono Rahardjo; Trianingsih Eni Lestari; Lucky Tri Oktoviana
Jurnal Kajian Matematika dan Aplikasinya (JKMA) Vol 2, No 2 (2021): July
Publisher : UNIVERSITAS NEGERI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um055v2i22021p14-20

Abstract

The Malang Raya Area is one of the tourist destinations in East Java..Batu City is an area of Malang Raya which is visited by many for sightseeing. Given the development of tourism in Malang Raya, it is necessary to classify the popularity of tourist objects so that they can be used as a reference in policymaking by the tourism office and tourism object managers. In this study, the Expectation Maximation (EM) algorithm is used to determine the clustering of tourist objects in Malang Raya using data on the number of visitors. The results of grouping the popularity of leading tourist attractions in Malang Raya based on the number of visitors are divided into 5 groups, namely: Group 1: Selecta; Group 2: Balekambang, Wendit Baths, and Brawijaya Souvenir Tour; Group 3: Transport Museum, Coban Rondo, Animal Museum, Jatim Park, BNS, Picking Apples “Makmur Abadi and Agro Wonosari Tea Plantation; Group 4: Kusuma Agro Wisata, Kampoeng Kidz, Cangar Hot Springs, Eco Green Park, Predator Fun Park, Coban Rais Tourism Area, Mount Banyak, Mahajaya T-Shirt & Souvenirs, Ngliyep and Selorejo Dam; Group 5: “Dammadhipa Arama” Temple, “Kaliwatu” Rafting, Batu Rafting, Coban Talun Tourism Wana, Tirta Nirwana Baths, Songgoriti Natural Hot Springs, Wonderland Waterpark, Friends of Water Rafting, Independent Apple Picking, Apple Agro Stone, Tourism Village.
ESTIMASI PARAMETER REGRESI ZERO-INFLATED NEGATIVE BINOMIAL DENGAN METODE ALGORITMA EXPECTATION MAXIMIZATION (EM) (Studi Kasus: Penyakit Difteri di Jawa Barat Tahun 2016) Dimas Adi Pradana; Trianingsih Eni Lestari
Jurnal Kajian Matematika dan Aplikasinya (JKMA) Vol 1, No 1 (2020): July
Publisher : UNIVERSITAS NEGERI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um055v1i12020p18-26

Abstract

This study aims to determine the parameter estimation method of the ZINB model with the Expectation Maximization (EM) algorithm, and also to overcome the case of overdispersion caused by excess zeros in diphtheria cases in West Java in 2016 and to know the factors that significantly influence. Based on the results of the analysis, the factors that significantly influence the number of diphtheria cases in West Java Province in 2016 for the data count are the percentage of DPT immunization (X1), the percentage of residents who have access to safe drinking water (X3) and the percentage of TPM that meet sanitary hygiene requirements (X6). Whereas for zero-inflation data is the percentage of residents who have access to decent drinking water (X3), number of puskesmas (X5) and the percentage of TPM that meet sanitary hygiene requirements (X6).
Data Mining Pada Faktor-Faktor Potensi Daerah di Kabupaten Sidoarjo Provinsi Jawa Timur Trianingsih Eni Lestari; Hendro Permadi; Sri Susilowati
Jurnal Matematika Vol 10 No 2 (2020)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2020.v10.i02.p124

Abstract

Abstract: Sidoarjo is one of the districts located in East Java that has developed rapidly. The remarkable progress can be achieved due to several potentials had by its people, for instance, industries, trades, small and medium businesses. Therefore, this research aims to find out the information regarding dominating factors had by the Sidoarjo using data mining. The result shows that Keboansikep, Sawotratap, Tebel, Keboananom, Gedangan, Keboguyang, Ketajen, Sidomulyo, Terik, Ponokawan, Sedengan Mijen, and Barengkrajan villages are the most potential villages in Sidoarjo. Based on the classification method, it is found that the villages of Keboansikep, Sawotratap, Tebel, Keboananom, Gedangan, and Ketajen (Gedangan District) have local potential in the form of agricultural factors such as rice and secondary crops. All residences in Keboguyang Village (Jabon District) already have an IMB. Meanwhile, the villages of Sidomulyo, Terik, Ponokawan, Sedengan Mijen, and Barengkrajan (Krian District) have high early childhood education factors such as kindergarten students, kindergarten teachers, and kindergarten schools Keywords: Data Mining, Local Potential, Biplot analysis
Implementasi Model Fungsi Transfer dan Neural Network untuk Meramalkan Harga Penutupan Saham (Close Price) Nila Rahmawati; Trianingsih Eni Lestari
Jurnal Matematika Vol 9 No 1 (2019)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2019.v09.i01.p107

Abstract

The multivariate forecasting model is a model of forecasting that takes into the causal relationship between a prediction factor with one or more independent variables. This study uses multivariate forecasting model that are transfer function and neural network model. The transfer function and neural network model are used for forecasting of closing stock price data by considering the opening stock price data as the independent variable in the forecasting model. The data used in this study is the monthly closing stock price and opening stock price data of PT. Bank Central Asia, Tbk. The best model for forecasting of closing stock price is a transfer function model that has MSE, MAPE, and MAE values ??smaller than the neural network model. Keywords: transfer function, neural network, opening stock price, closing stock price
Response Surface Regression with LTS and MM-Estimator to Overcome Outliers on Red Roselle Flowers Trianingsih Eni Lestari; Rike Desy Tri Yuansa Yuansa
Jurnal Varian Vol 4 No 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i2.882

Abstract

The surface response method is similar to the regression analysis method which uses procedures or ways of estimating the response function regression model based on the Ordinary Least Square (OLS) method. Unfortunately, using the quadratic method has no drawbacks because it is easily sensitive to assumption deviations due to outlier cases. One of the solutions to the outlier problem is using robust regression. The method of parameters in the regression is very diverse, but the methods used in this study are the Least Trimmed Square (LTS) and MM-estimator methods because both methods have a high breakdown point of nearly 50%. The variables studied were the response variable consisting of red roselle plant height (Y1) and red roselle flower weight (Y2). While the independent variables were soil moisture factor (X1) and NPK fertilizer application factor (X2). The purpose of this study is to estimate the response surface regression parameters. using the LTS and MM-estimator methods on data that contains outliers. The resulting model in data analysis shows the same result that the best model is using the LTS estimation method. The modeling result of plant height obtained an R-Square value of 98,27% with an error is 1,243. Meanwhile, for the red rosella plant flower weight model, the R-Square value was 97,31% with an error is 0.6632.
PENERAPAN ANALISIS DISKRIMINAN LINIER ROBUST DALAM PENGKLASIFIKASIAN INDEKS KEPEDULIAN TERHADAP ISU KEPENDUDUKAN (IKIK) Nabilatul Fahma; Trianingsih Eni Lestari
Jurnal Kajian Matematika dan Aplikasinya (JKMA) Vol 3, No 1 (2022): January
Publisher : UNIVERSITAS NEGERI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um055v3i12022p30-36

Abstract

Abstract Robust linear discriminant analysis is used to classify data that contains outlier by replacing classical parameters in linear discriminant analysis with robust parameters. This study aims to classify the Index of Concern for Population Issues (IKIK) of 34 provinces in 2020 into two categories namely target fulfilled IKIK and target not fulfilled IKIK using robust linear discriminant analysis. The independen variabels used are quantity dimensions (X_1), quality dimensions (X_2), mobility dimensions (X_3), and environment dimensions (X_4). The results obtained are 17 provinces were categorized as target fulfilled IKIK, 17 provinces as target not fulfilled IKIK. There are 2 robust discriminant functions formed, each for target fulfilled and target not fulfilled IKIK. The accuracy of the robust linear discriminant functions formed is 97,06%, the APER value of the discriminant functions is 2,94% and the PressQ value = 30,11 is greater than the value of (Chi_(3,0.05)^2) = 7.81. This shows that the discriminant functions can classify observations accurately.Keywords: classification, Index of Concern for Population Issues, robust discriminant analysis
Pendampingan Penulisan Artikel Ilmiah dari Hasil Penelitian bagi Guru Matematika SMK Kota Kediri Lucky Tri Oktoviana; Dahliatul Hasanah; I Made Sulandra; Susiswo Susiswo; Trianingsih Eni Lestari; Rini Nurhakiki
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 5, No 2 (2020): July 2020
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v5i2.3820

Abstract

Doing research and publication in the form of scientific article is not part of teachers’ duties as an educator. Conducting research particularly class action research, however, is a necessity for teachers to solve some problems experienced in class. The needs to publish an article from research result emerges from the importance of sharing research result conducting in class. This research result may solve similar problems happened in other classes and experinced by other teachers. High school mathematics teachers in Kediri city encounter difficulties in transforming research result into a scientific article. This community service program provides a training and accompaniment in writing a scientific article. This program involves some activities, i.e. (1) elucidating the structure of scientific articles and its description, (2) giving examples of scientific articles from research results, (3) practicing in writing scientific article, and (4) presenting article results from practice section. This program is expected to encourage high school mathematics teachers in Kediri city to have a scientific article and to publish the article in seminars or scientific journals.DOI: https://doi.org/10.26905/abdimas.v5i2.3820
Pelatihan Literasi Statistika Sebagai Upaya Peningkatan Kualitas Pembelajaran Matematika di Sekolah Azizah Azizah; Latifah Mustofa Lestyanto; Hendro Permadi; Trianingsih Eni Lestari; Susiswo Susiswo; Lita Wulandari Aeli; Ramdhan F Suwarman; Andi Daniah Pahrani
Jurnal KARINOV Vol 6, No 1 (2023): Januari
Publisher : Institute for Research and Community Service (LP2M), Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um045v6i1p42-16

Abstract

Literasi Statistis adalah salah satu kecakapan yang diperlukan di era globalisasi. Perkembangan teknologi yang begitu cepat, berakibat pada ketersediaan data dalam skala besar. Untuk merespon fenomena ini, siswa perlu dibekali dengan literasi statistis sejak dini. Selain literasi bagi siswa, guru juga perlu memilikinya agar kualitas pembelajaran matematika di sekolah meningkat. Oleh karena itu, Departemen Matematika FMIPA Universitas Negeri Malang melaksanakan pengabdian kepada masyarakat terkait peningkatan literasi statistika bagi para guru Matematika di MGMP matematika SMA Kota Kediri. Kegiatan dilaksanakan dalam bentuk ceramah dan workshop. Berdasarkan kegiatan yang telah dilaksanakan, kegiatan ini memberikan pemahaman lebih bagi para guru tentang literasi statistis yang merupakan materi ajar baru dari contoh-contoh soal yang mungkin diberikan untuk meningkatkan nilai AKM siswa. Selain itu guru-guru juga memperoleh informasi terkait metode ajar yang sesuai untuk diterapkan ke siswa terutama untuk literasi numerasi ini.  Kata kunci— Literasi Statistika, Matematika, Pelatihan, Pengabdian Kepada Masyarakat Abstract Statistical Literacy is one of the skills needed in the era of globalization. The rapid development of technology has resulted in the availability of data on a large scale. To respond to this phenomenon, students need to be equipped with statistical literacy from an early age. In addition to literacy for students, teachers also need to have it so that the quality of learning mathematics in schools increases. Therefore, Mathematics Department, Faculty of Mathematics and Natural Sciences, State University of Malang carried out community service related to increasing statistical literacy for Mathematics high school teachers at Kediri City. Activities are carried out in the form of lectures and workshops. Based on the activities that have been carried out, this activity provides more understanding for teachers about statistical literacy which is a new teaching material from examples of questions that may be given to increase the value of students' AKM. In addition, teachers also obtain information related to appropriate teaching methods to apply to students, especially for numeracy literacy. Keywords— Statistics Literacy, Mathematics, Workshop, Community Service
Partial least square-structural equation modeling on the gender development index in east java Sarah Permatasari Aritonang; Trianingsih Eni Lestari; Hendro Permadi
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.3644

Abstract

National Term Development Plan (RPJMN) 2015-2019 Based on gender considerations, one of the essential considerations in preparing Indonesia's development plan. The global indicator used to measure the achievement of gender findings is found in the Gender Development Index (IPG). The IPG East Java in 2020 is at the upper middle level, but the disparity in human development still occurs at the district/city level. That is why studying the variables that affect the GPA value is necessary. The method used is Partial Least Square-Structural Equation Modeling (PLS-SEM) with bootstrap parameter estimation. The secondary data were obtained from the Central Statistics Agency (BPS) of East Java and SAKERNAS 2020. The results of this study are that all dimensions of GPI, namely Economy, Health, and Education, have a positive and significant impact on GPI. In comparison, the influential but insignificant variables are AHH Male and AHH Female; RLS Male and RLS Female, AHLS Male and AHLS Female. The most significant contribution is RLS Female, and the smallest is AHLS Male
Co-Authors Andi Daniah Pahrani Azizah Azizah Dahliatul Hasanah Dimas Adi Pradana Hendro Permadi Hidayah, I. N. I Made Sulandra Latifah Mustofa Lestyanto Lita Wulandari Aeli M. Yunus Nabilatul Fahma Nila Rahmawati Nur Atikah Oktaviana, L. T. Oktoviana, Lucky Tri Permadi, Hendro Ramdhan F Suwarman Rike Desy Tri Yuansa Yuansa Rini Nurhakiki Sarah Permatasari Aritonang SRI SUSILOWATI Susiswo Swasono Rahardjo