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Penjadwalan Proyek Dengan Metode Program Evaluation and Review Technique (PERT) Nur Annisa Roziya; Ika Purnamasari; Wasono Wasono
EKSPONENSIAL Vol 9 No 2 (2018)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (541.805 KB) | DOI: 10.30872/eksponensial.v9i2.305

Abstract

Project scheduling is one of the techniques developed in operations research to solve management problems to obtain optimal solutions. One of the methods used for project scheduling is the method of Program Evaluation and Review Technique (PERT). In PERT method, three time estimates are used, that is optimistic time (a), pessimistic (b), and realistic (m). In this study, PERT method is used to determine the optimal duration and probability value of the completion of the Grand Sangatta housing project on house type 36 which is sourced from CV Miftah Collection. The data obtained are primary data and interview. Based on the results of the analysis, it can be know the activities that are on the critical path are the activities of making the foundation (B), concrete (D), wall (E), roof (H), ceiling (I), and painting (L). The minimum time duration of completion of type 36 homes is 34 days with a 50% confidence level which was originally scheduled for 60 days.
Analisis Regresi Probit Biner Bivariat Syeli Ariessela; Rito Goejantoro; Ika Purnamasari
EKSPONENSIAL Vol 12 No 1 (2021): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (793.525 KB)

Abstract

Bivariate binary probit regression is a regression analysis that uses two dependent variables and each has two categories. This regression analysis is used on education index data and expenditure index of district/city on Kalimantan island in 2017. The best model obtained in this regression analysis is a model that uses 4 independent variables namely APS 16-18 years, percentage of poor population, open unemployment rate, and GRDP ACMP (Gross Regional Domestic Product at Current Market Prices). The parameters that significantly influence the two dependent variables are the APS 16-18 years in models 1 and 2 and the percentage of poor people in model 2. In Samarinda, every change of the APS 16-18 years, the percentage of poor people, and the open unemployment rate of 1 the unit will increase the probability of Samarinda entering the education index and high expenditure index categories by 0,33 percent, 0,42 percent and 0,07 percent, respectively. Every change of GRDP ACMP by 1 unit will reduce the probability of Samarinda entering the education index and the high expenditure index by 1,63 percent.
Perbandingan Hasil Klasifikasi Menggunakan Regresi logistik dan Analisis Diskriminan Kuadratik Pada Kasus Pengklasifikasian Jurusan Di SMA Negeri 8 Samarinda Tahun Ajaran 2014/2015 Cristine Uli Artha; Yuki Novia Nasution; Ika Purnamasari
EKSPONENSIAL Vol 7 No 2 (2016)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

Logistic Regression Analysis and Discriminant Analysis represent the statistical method for the classification of a number of object. In the case of classification especially if there's only two response categories, logistic regression is used more precisely if the assumption of multivariate normality in data cannot be fullfiled. The assumption of normality multivariate distribution and equality of variance covariance matrices represent the important matter in discriminant analysis for getting of high accuracy of classification. Discriminant analysis method that is used in inequality of variance covariance matrices is called quadratic discriminant analysis. The purpose of this study was to determine the classification results by using Logistic Regression and Quadratic Discriminant Analysis and compares the classification accuracy. The data that is used in the study is the average raport of the first and second semester of the class X at SMA Negeri 8 Samarinda academic year 2014/2015. Data consists of 190 students with two independent variables and four dependent variables. Based on research results, obtained results for the value of class accuracy is Logistic Regression 83.16% and Quadratic Discriminant Analysis 84.21%.
Penerapan Metode Vogel’s Approximation Method (VAM) dan Modified Distribution (MODI) Dalam Penyelesaian Transshipment Problem Aisyah Aisyah; Ika Purnamasari; Yuki Novia Nasution
EKSPONENSIAL Vol 9 No 2 (2018)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.194 KB)

Abstract

Transshipment method is an extension of the transportation method. The method of transhipment itself can not be directly to the destination becausethe goodstransported must experience transit, while the method of transporting direct shipment from factory to destination. The data used in this study is data that has been obtained from PT. Nestle Balikpapan Where the data is processed by using the VAM method as a method of initial solution and MODI Method as a Final solution, the data aims to find out whether by using both of methods can reduce operational cost of PT. Nestle Balikpapan and the difference of operational cost before application and after using both of that method. Based on the results of the research can be obtained that by using the Initial Solution Solution with VAM can minimize the cost of 43,54% of the initial cost and continued with the final Solution Method that is MODI for the optimality testing by reduced 44,14%
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.