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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Jurnal Mantik Jurnal Varian Jurnal Karinov Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Kajian Matematika dan Aplikasinya Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Journal of Asset Management and Public Economy Jurnal MIPA dan Pembelajarannya GEMBIRA (Pengabdian Kepada Masyarakat) PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Medika: Medika
Trianingsih Eni Lestari
Universitas Negeri Malang
Religion Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation 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).
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
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
Penerapan regresi logistik ordinal dengan metode penduga parameter bootstrap terhadap faktor-faktor yang mempengaruhi kinerja pegawai pemerintah (Studi Kasus di BPS Kabupaten Probolinggo) Ananingtyas, Amalia; Permadi, Hendro; Lestari, Trianingsih Eni
Jurnal MIPA dan Pembelajarannya Vol. 2 No. 9 (2022): September
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v2i92022p4

Abstract

Penelitian ini bertujuan untuk memodelkan dan menginterpretasikan faktor-faktor yang mempengaruhi pada kinerja pegawai di BPS Kabupaten Probolinggo dengan analisis regresi ordinal menggunakan metode penduga parameter bootstrap. Adapun faktor-faktor yang diamati adalah disiplin kerja (X_1), motivasi kerja (X_2), kepemimpinan (X_3), dan iklim komunikasi (X_4). Hasil dari analisis tersebut adalah:P(Y≤1|x)=exp⁡(-4,056-1,017X_3+1,218X_4 )/(1+exp⁡(-4,056-1,017X_3+1,218X_4 ) )P(Y≤2|x)=exp⁡(0,895-1,017X_3+1,218X_4 )/(1+exp⁡(0,895-1,017X_3+1,218X_4 ) )P(Y≤3|x)=exp⁡(4,654-1,017X_3+1,218X_4 )/(1+exp⁡(4,654-1,017X_3+1,218X_4 ) )Interpretasi dari model tersebut menggunakan nilai odds ratio. Jika pemimpin mempunyai sikap kepemimpinan yang tidak baik maka kinerja pegawai lebih rendah 0,362 kali dibanding pemimpin mempunyai sikap kepemimpinan yang sangat baik dan jika komunikasi antar sesama pegawai maupun kepada pimpinan baik maka kinerja pegawai lebih besar 3,38 kali dibanding jika komunikasi antar sesama pegawai maupun kepada pimpinan tidak baik. Kemampuan variabel kepemimpinan (X_3 ) dan iklim komunikasi (X_4 ) dalam menjelaskan model sebesar 49,6% dan sisanya dijelaskan oleh variabel yang lain.
Peramalan jumlah wisatawan mancanegara ke indonesia dengan menggunakan metode autoregressive integrated moving average with exogenous variable (ARIMAX) efek variasi kalender libur akhir tahun Rahmawati, Fitria; Lestari, Trianingsih Eni
Jurnal MIPA dan Pembelajarannya Vol. 2 No. 11 (2022): Nopember
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v2i112022p8

Abstract

Sektor pariwisata di Indonesia merupakan salah satu andalan untuk menyerap devisa Negara. Salah satunya dari wisatawan mancanegara yang berkunjung ke Indonesia, dimana biasanya meningkat pada libur akhir tahun. Besarnya potensi ini membuat para investor asing berlomba-lomba menanamkan modal untuk membangun hotel yang dapat berakibat over supply. Untuk menangani hal tersebut diperlukan prediksi jumlah wisatawan yang akurat dengan melakukan peramalan yaitu dengan analisis deret waktu. Ketika data deret waktu memiliki variabel lebih dari satu yang disebut juga sebagai data multivariat misalkan dengan adanya penambahan variabel dummy efek variasi kalender libur akhir tahun maka salah satu metode peramalan yang bisa digunakan adalah dengan Autoregressive Integrated Moving Average with Exogenous Variable (ARIMAX) Efek Variasi Kalender. Metode ARIMAX adalah modifikasi dari model ARIMA Seasonal dengan penambahan variabel eksogen yaitu variabel dummy dan periode waktu.Dengan melihat permasalahan tersebut, penelitian ini bertujuan mengetahui model deret waktu terbaik untuk meramalkan jumlah wisatawan mancanegara dengan metode ARIMAX serta mengetahui hasil peramalan jumlah wisatawan mancanegara dengan metode ARIMAX. Berdasarkan hasil analisis terhadap jumlah wisatawan mancanegara, diperoleh bahwa model terbaik peramalan sebagai berikut Y_t=475158,2+98619,9D_1t+3650,5t+a_t 〖(1- 0,22055B)〗^(-1) 〖(1-0,48107B^12)〗^(-1) Dari model diatas diketahui bahwa peramalan untuk data ke-t dipengaruhi oleh efek variasi kalender libur akhir tahun dan periode waktu pada saat ke-t. Dan hasil peramalan jumlah wisatawan yang datang ke Indonesia dengan metode ARIMAX pada bulan Januari 2016 dan bulan februari 2016 sebesar 814052,96 dan 858423,27 orang.
Analisis cluster dan analisis diskriminan terhadap kualitas pendidikan sekolah menengah pertama (studi kasus pengelompokan kualitas pendidikan sekolah menengah pertama (SMP) berdasarkan mutu pendidikan di kota wisata batu) Oktaviani, Dhita Nur; Lestari, Trianingsih Eni
Jurnal MIPA dan Pembelajarannya Vol. 2 No. 12 (2022): Desember
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um067v2i122022p8

Abstract

Mutu pendidikan adalah gambaran dan karakteristik menyeluruh jasa pelayanan pendidikan secara internal, maupun eksternal yang menunjukkan kemampuannya, memuaskan kebutuhan yang diharapkan, atau yang tersirat mencakup input, proses, dan output pendidikan. Mutu pendidikan yang dimaksudkan dalam penelitian ini, meliputi sumber daya manusia, sarana prasarana, capaian UN dan akreditasi sekolah. Tujuan penulisan skripsi ini adalah analisis cluster dan analisis diskriminan untuk mengelompokkan kualitas pendidikan SMP di Kota Wisata Batu berdasarkan mutu pendidikan. Pengelompokan dilakukan pada 26 SMP dengan analisis cluster menggunakan metode hierarki. Indeks validitas yang digunakan untuk mengetahui jumlah kelompok optimum dari kelima metode tersebut adalah RMSSTD (Root Mean Square Standart Deviation). Pengujian ketepatan klasifikasi pengelompokan tersebut menggunakan analisis diskriminan berdasarkan hasil pengelompokan dengan analisis cluster. Pada analisis cluster, ukuran jarak yang digunakan adalah jarak Mahalanobis karena terdapat multikolinearitas dan diperoleh nilai indeks RMSSTD terkecil adalah 10,629 yaitu pada metode Ward dengan jumlah kelompok sebanyak 4. Pengelompokan kualitas pendidikan dipengaruhi oleh faktor-faktor dominan seperti rata-rata ujian nasional, akreditasi sekolah, ratio siswa/guru, jumlah tenaga kependidikan, serta jumlah ruang kelas yang dapat diketahui dari hasil analisis diskriminan. Analisis diskriminan menggunakan data faktor skor (score factors) hasil dari analisis faktor dengan metode eksplorasi komponen utama. Sehingga diperoleh kesimpulan bahwa ketepatan klasifikasi berdasarkan analisis cluster dengan metode hierarki adalah sebesar 80,8%. Hal ini berarti 80,8% dari 26 data yang diolah telah dimasukkan pada kelompok yang sesuai dengan data semula.
Co-Authors AA Sudharmawan, AA Ana, Chantika Putri Ananingtyas, Amalia Anita Dewi U Azizah Azizah Bajar, Jayson Troy Ferro Dahliatul Hasanah Dimas Adi Pradana Ety TDC Faizah, Hanim Fitria Rahmawati Hendro Permadi Hidayah, I. N. I Made Sulandra Ida Nuri Rahma Ida Nuri Rahma Indriati Nurul Hidayah Jamaliatul B Kawaye, Hopkins Henry Lathifatul Anwar Latifah Musthofa Lestyanto Latifah Musthofa Lestyanto Latifah Mustofa Lestyanto Lita Wulandari Aeli Lucky Tri Oktoviana Lustina Fajar Prastiwi M. Yunus Nabilatul Fahma Nila Rahmawati Noviana Puspita Sari Nuqthy Faiziyah Nur Atikah Oktaviana, L. T. Oktaviani, Dhita Nur Oktoviana, Lucky Tri Pahrani, Andi Daniah Permadi, Hendro Qohar, Abd. Rike Desy Tri Yuansa Yuansa Rini Nurhakiki Rustanto R Rustanto Rahardi Saadiyah, Risa Sapti Wahyuningsih, Sapti Sarah Permatasari Aritonang Slamet Slamet . Susiswo Suwarman, Ramdhan F Swasono Rahardjo Toto Nusantara