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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal Kreativitas PKM METIK JURNAL Variance : Journal of Statistics and Its Applications VARIANSI: Journal of Statistics and Its Application on Teaching and Research Eksponensial STATISTIKA IJASDS: Indonesian Journal of Applied Statistics and Data Science
Ika Purnamasari
Universitas Mulawarman
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Penerapan Analisis Joint-Space dan Analisis Faktor dalam Persepsi Mahasiswa FMIPA UNMUL terhadap Penggunaan Aplikasi Messenger pada Smartphone Emi Harmianti; Ika Purnamasari; Memi Nor Hayati
EKSPONENSIAL Vol 7 No 1 (2016)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (217.243 KB)

Abstract

Multidimensional Scaling Analysis (MDS) is a technique that can be used to determine the relative views of respondents to an object which is then represented in a multidimensional map. Joint-Space Analysis is a type of MDS that aims to determine the coordinates of the position of each object and variable pictured together on a map perception (perceptual map). While the factor analysis is a branch of multivariate analysis to determine the factors of concern to respondents. This study aims to determine the position of messenger applications on smartphones based on attributes that are owned, as well as to identify factors that concern respondents in choosing the messenger application based on attributes of the messenger application by the respondents are students FMIPA UNMUL. The data used in this research is primary data from research by spreading the questionnaire with the number of respondents (students FMIPA UNMUL) as many as 100 people. Results from this study indicate that the BlackBerry Messenger application, LINE, WhatsApp best position with all superior attributes that exist within the application.While the application KakaoTalk third place with some excellent attributes of the display, application updates, promotions, connection, performance applications, contacts and groups, stickers and emoticons, as well as account settings. Meanwhile, the Yahoo Messenger application and WeChat is the weakest of applications in a variety of attributes that exist in the messenger application. From the results of the factor analysis, found that there are two factors that concern the consumer in choosing a smartphone messenger app that attribute connections and promotion.
Peramalan Menggunakan Fuzzy Time Series Berbasis Algoritma Novel Annisa Hayatunnufus; Ika Purnamasari; Surya Prangga
Statistika Vol. 21 No. 2 (2021): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v21i2.336

Abstract

Fuzzy Time Series (FTS) adalah metode peramalan yang digunakan untuk mengolah data aktual yang dibentuk ke dalam nilai-nilai linguistik. Salah satu metode dalam FTS yaitu FTS berbasis Algoritma Novel. FTS berbasis Algoritma Novel merupakan perkembangan dari metode FTS sebelumnya dimana pada langkah peramalannya menggunakan kecenderungan peramalan untuk menentukan nilai peramalannya. Metode ini akan diaplikasikan pada data Indeks Harga Konsumen (IHK) Kota Samarinda periode Januari 2018 - Desember 2019 dengan penentuan panjang intervalnya menggunakan metode average based length. IHK adalah indikator ekonomi yang sangat penting dan memiliki pengaruh terhadap laju inflasi ekonomi. Penelitian ini bertujuan untuk memperoleh tingkat akurasi peramalan dengan menggunakan Mean Absolute Percentage Error (MAPE) serta memperoleh nilai peramalan IHK di Kota Samarinda pada bulan Januari 2020. Berdasarkan hasil penelitian, diperoleh tingkat akurasi peramalan dengan menggunakan MAPE untuk data IHK Kota Samarinda bulan Januari 2018 – Desember 2019 adalah sebesar 0,038%. Hasil peramalan untuk bulan Januari 2020 sebesar 140,00. Kata Kunci: algoritma novel, FTS, IHK, MAPE
Literasi Dasar Melalui Numerasi dan Keuangan Rito Goejantoro; Ika Purnamasari; Memi Nor Hayati; Meiliyani Siringoringo; Darnah Andi Nohe; Muhammad Fathurahman; Surya Prangga; Khairun Nida; Sekar Nur Utami; Dini Elizabeth
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 6, No 12 (2023): Volume 6 No 12 2023
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v6i12.12705

Abstract

ABSTRAK Gerakan Literasi Nasional (GLN) merupakan kegiatan yang saat ini diserukan sebagai bentuk penerapan dari peraturan KEMENDIKBUD untuk menumbuhkan budi pekerti masyarakat. Numerasi dan literasi keuangan merupakan dua jenis literasi yang saling terkait. Salah satu dimensi dari literasi keuangan yaitu keterampilan menghitung. Keterampilan ini terkait pemahaman numerik, lambang bilangan dan analisa kuantitatif yang berkenaan dengan statistika dasar dalam dimensi numerasi. Kegiatan ini memiliki tujuan yaitu memberikan informasi dan pengetahuan numerasi dan keuangan kepada peserta dengan cara sederhana, menyenangkan, dan mudah dipahami berdasarkan tema lingkungan sekitar. Hasil penilaian sebelum dan sesudah kegiatan, menunjukkan bahwa adanya peningkatan kemampuan dan pemahaman peserta terkait numerasi dan keuangan, yang terlihat dari kenaikan nilai rata-rata pada saat evaluasi. Untuk kegiatan literasi selanjutnya, materi yang disampaikan dapat ditingkatkan ke jenjang materi lanjutan, serta dapat mengkombinasikan antara numerasi, literasi keuangan, dan digital untuk lebih menarik. Kata Kunci: GLN, KEMENDIKBUD, Literasi, Numerasi, Literasi Keuangan ABSTRACT The National Literacy Movement (GLN) is an activity that is currently called for as a form of application of the regulation of KEMENDIKBUD to foster community ethics. Numeracy and financial literacy are two types of literacy that are interrelated. One dimension of financial literacy is counting skills. This skill is related to numerical understanding, number symbols and quantitative analysis related to basic statistics in the numeracy dimension. This activity has the following objectives is to provide numeracy and financial information and knowledge to participants in a simple, fun, and easy-to-understand way based on the theme of the surrounding environment. The results of the assessment before and after the activity showed an increase in the abilities of participants and understanding related to numeracy and finance, which can be seen through the increase in the average scores at the time of evaluation. For further literacy activities, the material delivered can be upgraded to an advanced level of material, and can combine numeracy, financial literacy, and digital to be more attractive. Keywords: GLN, KEMENDIKBUD, Literacy, Numerasi, Financial Literacy.
PERAMALAN DENGAN METODE SARIMA PADA DATA INFLASI DAN IDENTIFIKASI TIPE OUTLIER (Studi Kasus: Data Inflasi Indonesia Tahun 2008-2014) Iin Fadliani; Ika Purnamasari; Wasono Wasono
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 9, No 2 (2021): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.9.2.2021.109-116

Abstract

Inflation is defined as rising prices of goods in general and continuously. The effect of inflation on the economy can cause the currency to decline, resulting in the country's economic power becoming weak. Time series data is data arranged in order of time or data collected over time. Changes in the inflation rate tend to make inflation data unstable and affect the forecasting process in the time series data. The method used in this study is the seasonal autoregressive integrated moving (SARIMA) method to predict the time series in one or two periods ahead. This study also used outlier identifiers on models that still have outlier tendencies in residuals. The forecasting results of the SARIMA method become inaccurate when residual data contains outliers. The presence of outlier data in residual data results in residuals is not a normal distribution. The method used obtained the best model results, namely the SARIMA model (0,1,1) (0,1,1)12 with inflation forecast value for January to May 2015 is in the range of 5-6 %. On SARIMA models (0,1,1) (1,1,1)12 and SARIMA models (1,1,0) (2,1,0)12 outliers are detected in residual are Additive Outlier (AO) and Temporary Change (TC) type.
Peramalan Jumlah Kedatangan Penumpang Domestik di Bandara APT Pranoto Samarinda Menggunakan Maximal Overlap Discrete Wavelet Transform dengan Model Multiresolution Autoregressive Thifan Octavianto; Meiliyani Siringoringo; Ika Purnamasari
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 1 (2025): Mei
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i1.5796

Abstract

The problem of forecasting domestic passenger arrivals has become increasingly important due to frequent fluctuations and seasonal patterns, as observed at APT Pranoto Airport in Samarinda. Such data requires an approach capable of capturing both long-term trends and rapid changes. This study employs the Maximal Overlap Discrete Wavelet Transform (MODWT), a modified version of the Discrete Wavelet Transform (DWT), which can be applied to data of any size. MODWT decomposes the data into wavelet coefficients and scaling coefficients, which are then used to construct a Multiresolution Autoregressive (MAR) model at each level of Daubechies wavelets. This method is used as a preprocessing step to improve forecasting accuracy. The best model is selected based on the smallest Mean Absolute Percentage Error (MAPE). The analysis results show that the best forecasting model is the one using Daubechies 6 wavelets, with an in-sample MAPE of 13.758% and an out-of-sample MAPE of 9.525%. The forecast of domestic passenger arrivals at APT Pranoto Airport for the period from October 2024 to December 2024 follows a trending pattern.
Co-Authors Aisyah Aisyah Annisa Hayatunnufus Bayu Iswahyudi Noor Bayu Nanda Permana Chairunnisa Chairunnisa Cristine Uli Artha Darnah Darnah, Darnah Desi Yuniarti Diang Dewi Tamimi Dini Elizabeth Dominggus Norvindes Dellas Emi Harmianti Fahrullah, Fahrullah Fidia Deny Tisna Amijaya Gracia Indah Fajarini Hidaya Annur Hisintus Suban Hurint Iin Fadliani Khairun Nida Lisda Ramadhani M. Fathurahman Marisa Nanda Rahmaniah Meiliyani Siringoringo Meiliyani Siringoringo Memi Nor Hayati Muhammad Al-Firdaus Erdian Muhammad Jainudin Nanda Arista Rizki Nariza Wanti Wulan Sari Nuning Kusumaningrum Nur Annisa Roziya Nur Eka Fitria Nurul Hidayah Rahmad Fahreza Adiyasa Reyham Nopriadi Gurianto Riska Veronika Rito Goejantoro, Rito Roy Tridoni Situmorang Sekar Nur Utami Siti Rahmah Binaiya Sri Wahyuningsih Sri Wahyuningsih Surya Prangga Suyitno Suyitno Syamsiar, Syamsiar Thifan Octavianto Try Hardini Rahayu Mukti Wasono Wasono Wenny Kristina Yudha Muhammad Faishol Yuki Novia Nasution Yuki Novia Nasution Yuki Purnamasari Yuli Ratnasari