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All Journal PROSIDING SEMINAR NASIONAL JURNAL EKSAKTA PENDIDIKAN (JEP) Beta: Jurnal Tadris Matematika JURNAL EDUCATION AND DEVELOPMENT Eksakta : Berkala Ilmiah Bidang MIPA Menara Ilmu Pelita Eksakta ILKOMNIKA: Journal of Computer Science and Applied Informatics Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Leibniz: Jurnal Matematika Journal of Mathematics UNP Rangkiang Mathematics Journal UNP Journal of Statistics and Data Science Indonesian Journal of Statistics and Its Applications

Nonong Amalita

Universitas Negeri Padang

Author-ID : 225497

Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Metode Pemulusan Eksponensial Tripel Tipe Brown pada Peramalan Jumlah Produksi Kelapa Sawit Kabupaten Agam Fatma Yulia Sari; Nonong Amalita; Helma Helma
Journal of Mathematics UNP Vol 3, No 1 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract –This research discusses the forecasting of the amount of palm oil production in Agam Regency by using Brown's exponential smoothing method. The problem that occurs is the amount of palm oil production in the future is not fixed (constant) or uncertain every year. Therefore, forecasting method can be the right solution in estimating the amount of palm oil production in the future. The purpose of this research is to estimate the amount of oil palm production of Agam Regency for the next five years. The method used to forecast the amount of Agam palm oil production is the Brown's exponential smoothing method. In this method, forecasting is done to predict the amount of oil palm production whether it has increased or decreased.

Faktor yang Mempengaruhi Kualitas IPK Mahasiswa di Jurusan Matematika FMIPA UNP Menggunakan Regresi Logistik Prida Nova Sari; Yenni Kurniawati; Nonong Amalita
Journal of Mathematics UNP Vol 6, No 1 (2021): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract – Grade Point Academic (GPA) is a standard of university student academic achievement. In job competition, college graduates required to be more creative to develope their potential. GPA is one form of self-potential required by companies headhunter. The achievement of a high GPA is expected to facilitate the college graduates to get a job. The factors that affect GPA is why choose math major, college entrance, father’s occupation, mother’s occupation status, maintenance, residence condition, travel time to campus, length of study, completeness reference books, active organizationsi, and history of serious illness. If the dominant factor known, then GPA can be maximized. Therefore, formulation of the problem in research is how the logistic regression model to identify factors that affect the quality of GPA student majoring in Mathematics in State University of Padang. Factors affecting the quality of GPA student majoring in Mathematics in State University of Padangare father’s occupation, completeness reference books and history of serious illness.Keywords – GPA, Self-Potential, Logistic Regression Analysis.

Male and female students' mathematical reasoning skills in solving trigonometry problems Suparman Suparman; Al Jupri; Edwin Musdi; Nonong Amalita; Maximus Tamur; Jihe Chen
Beta: Jurnal Tadris Matematika Vol. 14 No. 1 (2021): Beta May
Publisher : Universitas Islam Negeri (UIN) Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/betajtm.v14i1.441

[English]: Several studies have examined mathematical reasoning skills (MRS) of male and female students in various mathematics topics. However, there were still not many studies, which focus on MRS in trigonometry topics in terms of gender perspectives. Therefore, this quantitative study aims to describe and compare the MRS of male and female students in solving trigonometry problems. This study involved secondary school students who were given an MRS test. The test has been validated theoretically and empirically. The results of the test were classified using the rubric of MRS achievement and analyzed using the Mann-Whitney test or t-test. The results revealed that the overall MRS of male and female students was low. The students lacked skills in finding a relationship pattern, proposing a conjecture, and generalizing the statement, but they had moderate skills in verifying the truth of an argument. Furthermore, the male and female students were not significantly different in the aspects of MRS. The findings provide important starting points to enhance students' MRS in the teaching and learning of trigonometry. [Bahasa]: Beberapa studi sudah dilakukan untuk menguji kemampuan penalaran matematis siswa laki-laki dan perempuan di berbagai topik matematika. Namun, studi-studi yang fokus pada kemampuan penalaran matematis di topik trigonometri ditinjau dari perspektif gender masih belum banyak. Penelitian kuantitatif ini bertujuan untuk mendeskripsikan dan membandingkan kemampuan penalaran matematis siswa laki-laki dan perempuan dalam menyelesaikan masalah-masalah trigonometri. Studi ini melibatkan siswa sekolah menengah yang diberi tes kemampuan penalaran matematis. Tes tersebut sudah divalidasi secara teoritis dan empiris. Hasil tes tersebut dikategorikan menggunakan rubrik capaian penalaran matematis dan dianalisis menggunakan uji Mann-Whitney atau uji t. Hasil menunjukkan bahwa secara keseluruhan kemampuan penalaran matematis siswa laki-laki dan perempuan belum tinggi. Siswa tersebut kurang mampu dalam menemukan pola hubungan, mengajukan dugaan, dan mengeneralisasi pernyataan, tetapi mereka memiliki kemampuan yang sedang dalam memverifikasi kebenaran suatu argumen. Selanjutnya, siswa laki-laki dan siswa perempuan tidak berbeda secara signifikan dalam aspek kemampuan penalaran matematis. Temuan ini memberikan titik awal yang penting untuk meningkatkan kemampuan penalaran matematis siswa dalam pembelajaran trigonometri.

Forecasting Shallot Prices in West Sumatra Province Using the Fuzzy Time Series Method of the Singh Model and the Cheng Model Huriati Khaira; Fadhilah Fitri; Nonong Amalita; Dony Permana
UNP Journal of Statistics and Data Science Vol. 1 No. 1 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Shallots are one of the leading spices that are widely used by humans as food seasoning and traditional medicine. The price of shallots always fluctuates which can affect the buying and selling of consumers and producers. Therefore, forecasting is used as a reference to be able to predict the price of shallots in the future and can provide convenience to the public for the condition of shallot prices in the next period. The forecasting method used is the fuzzy time series (FTS) method. FTS is a method whose forecasting uses data in the form of fuzzy sets sourced from real numbers to the universe set on actual data. Forecasting models used in this study are Singh's FTS model and Cheng's model. The data used is monthly data on shallot prices in West Sumatra Province for the period January 2018 to March 2022. The results obtained in this forecast are the Singh model FTS has a smaller MAPE value of 4.41% with a forecasting accuracy value of 95.59 %. This means that Singh's FTS model is better at predicting the price of shallots in West Sumatra Province.

Time Series Modeling on Stock Return at PT. Telecommunication Indonesia Tbk. Hana Rahma Trifanni; Dony Permana; Nonong Amalita; Atus Amadi Putra
UNP Journal of Statistics and Data Science Vol. 1 No. 1 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

One of the time series data modeling is the ARMA model which assumes constant volatility. However, in economic and financial data, there are many cases where volatility is not constant. This results in the occurrence of heteroscedasticity problems in the residuals, so a GARCH model is needed. In addition to heteroscedasticity, another problem with residuals is the asymmetric effect or leverage effect. For that we need asymmetric GARCH modeling. This study aims to compare the accuracy of the ARMA, GARCH, and asymmetric GARCH models. This research is an applied research. The data used is daily stock return data from February 2020 to February 2022 as many as 488 data. The results showed that the best model in modeling stock return volatility is ARMA(0,1). The accuracy of this model is very good with MAD value of 0,0018644 and RMSE value of 0,0025352.

Grouping The Districts in Sumatera Region Based on Economic Development Indicators Using K-Medoids and CLARA Methods Retsya Lapiza; Syafriandi; Nonong Amalita; Dina Fitria
UNP Journal of Statistics and Data Science Vol. 1 No. 1 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Inequality in economic development is an economic problem that is often felt by developing countries. In Indonesia, one of the regional areas that has not yet experienced equal distribution of economic development is the regencies/cities of the Sumatera Region. This study aims to determine regional groups and compare the results of grouping with the K-Medoids and CLARA methods. The K-Medoids and CLARA methods are non-hierarchical methods that are strong against outliers. While the best selection method is done by comparing the silhouette coefficient. The results obtained in this study using the K-Medoids and CLARA methods with 2 groups being better than forming 3 groups. The K-Medoids method resulted in cluster 1 as many as 59 districts/cities and cluster 2 as many as 95 districts/cities. Meanwhile, the grouping of districts/cities using the CLARA method with 2 groups resulted in cluster 1 as many as 74 districts/cities and cluster 2 as many as 80 districts/cities. From the comparison of the two methods, the silhouette coefficient values using the K-Medoids and CLARA methods are 0.13 and 0.15 respectively. Therefore, the CLARA method with 2 groups gave better cluster results

Comparison of Forecasting Using Fuzzy Time Series Chen Model and Lee Model to Closing Price of Composite Stock Price Index Mohammad Reza febrino; Dony Permana; syafriandi; Nonong Amalita
UNP Journal of Statistics and Data Science Vol. 1 No. 2 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Investment is an activity to invest with the hope that someday you will get a number of benefits from theinvestment result. In investing, analyzing is important to see the current situation and condition of stock. Investorscan forecast stock prices by looking at trends based on data movements from stock prices in the past. Fuzzy TimeSeries (FTS) was used in this study to forecast. Fuzzy time series is a forecasting technique that uses patterns frompast data to project future data in areas where linguistic values are formed in the data. This study compares theclosing price of composite stock forecasting using the fuzzy time series chen and lee models. The JCI's closing pricefor the following period is 6,904 and has a Mean Absolute Percentage Error (MAPE) of 4.03%, according to the chenfuzzy time series method. In contrast, utilizing Lee's fuzzy time series method, the predicted JCI closing price for thefollowing period is 7,046, with a MAPE value of 3.10 percent. It can be concluded from the forecasting results of theChen and Lee methods that the Lee model FTS is superior to the Chen model FTS in predicting the JCI closing price.

Application of Random Forest for The Classification Diabetes Mellitus Disease in RSUP Dr. M. Jamil Padang FAZHIRA ANISHA; Dodi Vionanda; nonong amalita; zilrahmi
UNP Journal of Statistics and Data Science Vol. 1 No. 2 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Diabetes Mellitus is a disease in which blood sugar levels go beyond normal (GDS>200 mg/dl). Diabetes Mellitus may be defined as an insulin function disorder in the pancreatic organ. Diabetes Mellitus is a world health problem as incidents of this disease are increasing in every part of the world, including Indonesia. Prevention and control of the disease need to be made so as not to cause complications in other organs even to death. Because of this, one needs to study a method to predict the occurance of this disease and to knows the variable that most affect a person suffered from it. This could be accomplished by using a classification methods. One of classification methods is Random Forest. In this case study using randomForest packages in RStudio software. In general, the result of this study are the smallest OOB’s error rates (%) and Variable Importance Measure (VIM) using Mean Decrease Accuracy (MDA) and Mean Decrease Gini (MDG) values.The classification by a Random Forest methods on the incidence of Diabetes Mellitus in RSUP Dr. M. Jamil Padang results in OOB’s error rate was 1,2% or accuracy rates was 98,8%. The most optimal model produced using mtry = 4 and ntree = 1000. If used MDA, the variables that most affect are Age, Polyphagia, Polyuria, HB, and BMI. While if used MDG, the variables that most affect are Age, Polyphagia, BMI, HB, and Delayed Healing.

Analisis Kebijakan Sistem Zonasi Terhadap Perilaku “ Merdeka Belajar” Siswa Sma Negeri Kota Padang Nonong Amalita; Mudjiran Mudjiran
Menara Ilmu : Jurnal Penelitian dan Kajian Ilmiah Vol 17, No 1 (2023): Vol 17 No. 01 APRIL 2023
Publisher : LPPM Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/mi.v17i1.3951

Penerimaan Peserta Didik Baru (PPDB) berbasis zonasi diterapkan di Kota Padang pertama kali pada tahun 2018/2019, sistem ini memberikan peluang 75% untuk calon siswa yang berada pada zona sekolah, 25% diambil berdasarkan nilai dan 5% untuk jalur khusus seperti mengikuti tugas orang tua sebagai pejabat negara. Adapun tujuan penelitian ini adalah untuk mengkaji bagaimana pelaksanaan sistem zonasi penerimaan peserta didik baru di SMAN kota Padang. Penelitian ini menggunakan metode deskriptif dengan menggunakan pendekatan kualitatif yang dilakukan pada SMAN 1 dan SMA 12 Padang dengan pendekatan psikologis, adapun pengambilan datanya menggunakan wawancara, dokumen dan observasi. Hasil kajian menunjukkan bahwa pelaksanaan PPDB zonasi di kota Padang terdapat 2 dampak positif lingkungan beragam akan menstimulasi murid, guru tetap kompeten dalam mengajar, menghemat tarif dan waktu lebih efesien-dan dampak negatif dari berbagai elemen anak tidak dapat masuk ke SMA Negeri meski nilainya bagus, siswa terbaik tidak dapat bersekolah di SMA Negeri karena berada pada wilayah blank spot, guru harus menghabiskan lebih banyak waktu untuk mengajar para siswa berprestasi rendah, kurang disiplin, perilaku siswa yang cenderung negatif akan mudah menular ke siswa yang lain. Sehingga dapat menjadi gambaran adanya kebijakan zonasi di samping dampak positif juga memberikan dampak terhadap perilaku siswa di SMAN Kota Padang yang kurang disiplin dan pada akhirnya menimbulkan prestasi akademik rendah.

Survey Training for Collecting Data of Nagari Tanjung Balik Dina Fitria; Nonong Amalita; Syafriandi Syafriandi; Zilrahmi Zilrahmi; Admi Salma; Dodi Vionanda; Yenni Kurniawati
Pelita Eksakta Vol 6 No 1 (2023): Pelita Eksakta Vol. 6 No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol6-iss1/202

Collecting data is the initial stage of data processing. Such that, it is needed to make sure the data collected is representative. Surveyor is one of its principal components. But, Nagari as a small component of a residence lack of professional surveyor for the work of the survey. The Statistics Department as a producer of statistician gives training to local residents to collect their own data using the right method in Nagari Tanjung Balik

Co-Authors Addini, Vidhiya Ade Eriyen Saputri Adinda Dwi Putri Admi Salma Aldwi Riandhoko Ali Asmar Amanda, Abilya Amelia Fadila Rahman Andini Yulianti Anggi Adrian Danis Anjelisni, Nining april leniati Arnellis Arnellis Atika Ahmad Atus Amadi Putra Azwar Ananda Chairina Wirdiastuti Cindy Febrianita Denia Putri Fajrina Dewi Febiyanti Dewi Murni Dina Fitria Dina Fitria Dina Fitria, Dina Dodi Vionanda Dony Permana Dwi Sulistiowati Edwin Musdi Elita Zusti Jamaan Elsa Oktaviani Fadhilah Fitri Fajrin Putra Hanifi fajriyanti nur, Putri Fatma Yulia Sari Faulina FAZHIRA ANISHA Fikra, Hidayatul Fitri, Fadhilah Gezi Fajri Ghaly, Fayyadh Hamida, Zilfa Hana Rahma Trifanni haniyathul husna Hasna, Hanifa Helma Helma Helma Helma Herlena Purnama Sari Huriati Khaira Ichlas Djuazva Inna Auliya Jihe Chen Juwita Juwita Khairani, Putri Rahmatun Lilis Sulistiawati Media Rosha Media Rosha Meira Parma Dewi Melly Kurniawati Miftahurrahmi, Syifa Minora Longgom Mohammad Reza febrino Mudjiran Mudjiran Muhammad Tibri Syofyan Mukhti, Tessy Octavia nabillah putri Nadha Ovella Syaqhasdy Natasya Dwi Ovalingga, natasyalinggaa Nini Erdiani Nur Fadillah, Nur Nurhizrah Gistituati Okia Dinda Kelana Oktaviani, Bernadita Permana, Dony Prida Nova Sari Puti Utari Maharani Rahma, Dzakyyah Resti Febrina Retsya Lapiza Rizki Amalia, Annisa Rizqia Salsabila Rusdinal Rusdinal Saddam Al Aziz Safitri, Melda Salma, Admi Seif Adil El-Muslih Shavira Asysyifa S Sondriva, Wilia Sujantri Wahyuni Suparman Suparman Swithania Rizka Putri Syafriandi Syafriandi Syafriandi Syafriandi Syafriandi Syahfitrri, Nindi Tamur, Maximus Tessy Octavia Mukhti Tri Wahyuni Nurmulyati Venny Oktarinda Viola Yuniza Wella Saputri Wulan Septya Zulmawati Yarman Yarman, Yarman Yenni Kurniawati Yulia Pertiwi Zamahsary Martha Zilla Zalila Zilrahmi, Zilrahmi

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