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All Journal AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Eksponensial
Desi Yuniarti
Universitas Mulawarman
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences Other

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Pelatihan Penulisan Karya Tulis Ilmiah Untuk Mendorong Peningkatan Kualitas Siswa Tingkat SMA Ika Purnamasari; Memi Nor Hayati; Desi Yuniarti
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2020): Agustus
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v4i2.3565

Abstract

Karya tulis ilmiah (KTI) merupakan karya ilmiah yang ditulis dengan mengikuti kaidah ilmiah. Kaidah ilmiah sebagai syarat utama dalam penulisan sebuah karya dimaksudkan agar karya yang dihasilkan dapat dipertanggung jawabkan secara ilmiah. Tujuan kegiatan pelatihan penulisan karya tulis ilmiah yaitu menumbuhkan minat, semangat, serta ide kreatif dan inovatif dari siswa-siswi kelas X dan XI SMAN 5 Samarinda untuk menghasilkan sebuah karya ilmiah yang sesuai dengan kaidah penulisan. Berdasarkan hasil pelaksanaan kegiatan pelatihan dapat disimpulkan bahwa kegiatan berjalan dengan baik dan mendapat dukungan penuh dari pihak sekolah. Seluruh peserta pelatihan mengikuti kegiatan hingga akhir dengan tingkat kehadiran sebesar 100%. Peserta kegiatan antusias untuk bertanya, mengeksplorasi ide, serta mengemukakan pendapat. Dengan demikian, kedepannya diharapkan adanya kegiatan lanjutan dengan melibatkan guru pendamping untuk mengoptimalkan perannya dalam penyusunan karya tulis ilmiah bagi peserta didik.Kata Kunci: kaidah ilmiah; KTI; peserta didik. Training on Writing Scientific Papers to Encourage Quality Improvement of High School Level Students ABSTRACT The scientific paper is an essay written by following scientific rules that are the main requirement so that the resulting essay can be justified scientifically. The purpose of the training is to increase the interest, enthusiasm, creative, and innovative ideas from students of class X and XI of SMAN 5 Samarinda to create a scientific paper that is following the rules. Based on the implementation of the training, it can be concluded that it is run well and received support from the school. All participants follow this activity until the end with an attendance rate of 100%. They are enthusiastic to ask, explore, and express their ideas and opinions. Then, in the future, it is expected that there will be further activities involving the teachers to optimization the role of assistants to create their student’s scientific papers.Keywords: scientific paper; scientific rules; students.
Analisis Faktor Konfirmatori untuk Mengetahui Faktor-Faktor yang Mempengaruhi Prestasi Mahasiswa Program Studi Statistika FMIPA Universitas Mulawarman Andini Juita Sari; Desi Yuniarti; Sri Wahyuningsih
EKSPONENSIAL Vol 8 No 1 (2017)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.804 KB)

Abstract

Confirmatory factor analysis is one part of the multivariate analysis. In this study conducted a confirmatory factor analysis of statistics student of Mulawarman University in 2013, 2014, and 2015 of 159 with research aims to determine the factors affecting the achievement of students. The analysis showed that, is influenced by four latent variables are latent variables background (ξ1) with three indicator variables of the relation with family (X1), parental (X2), and the motivation of the family (X3). Latent variables learning environment outside the campus (ξ2) with two indicator variables are the concentrations studied (X6) and the completion of tasks (X7). Latent variables campus facilities (ξ3) with indicator variables study room (X8), reading room of statistics (X9), wifi (X10), and computer facilities laboratory (X11). Latent variable students perceptions of lecturers (ξ4) with two indicator variables the learning system of lecturers (X14) and system administration duties of lecturers (X15). Indicator variables give large contribute affect to student achievement is the completion of the task (X7) rated loading factor of 0.89.
Pemodelan Generalized Space Time Autoregressive (GSTAR) Pada Data Inflasi di Kota Samarinda dan Kota Balikpapan Riska Handayani; Sri Wahyuningsih; Desi Yuniarti
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 (784.445 KB)

Abstract

One of the macroeconomic indicators used in the preparation of government’s economicpolicy is inflation. Inflation is a data time series monthly that also is influenced by location effects. Generalized Space Time Autoregressive (GSTAR) is a time series methode that combines time and location effects. The case study is applied of GSTAR for forecasting inflation in two cities in East Kalimantan namely Samarinda and Balikpapan. This research aims to implement GSTAR model to gain forecasting model for inflation data in Samarinda city and Balikpapan city by using method of cross-correlation normalization. The resulting model is GSTAR model GSTAR (2,1) and GSTAR (3,1). The model obtained is not feasible to be used for forecasting, because it does not meet the white noise assumption.
Optimasi Pendistribusian Barang Dengan Menggunakan Vogel’s Approximation Method dan Stepping Stone Method Yuli Ratnasari; Desi Yuniarti; Ika Purnamasari
EKSPONENSIAL Vol 10 No 2 (2019)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (958.795 KB)

Abstract

The development of era and technology are getting shopisticated which impacts the increasing of company in service area. Distribution and transportation are important aspects that can affect the success of the company’s performance.Vogel’s Approximation Method the first solution to solve the transportation problem and also Stepping Stone Method for the optimum solution to get the minimum operational cost. The aim of this research is to see the difference distribution operational cost of LPG gas 3 Kg in PT. Tri Pribumi Sejati before and after applying Vogel’s Approximation Method (VAM) and Stepping Stone Method. The result shows that Vogel’s Approximation Method (VAM) spent transportation cost Rp 24.353.568,- so it saved the transportation cost for 45,9% and made difference Rp 20.646.432,-. Next, applying Stepping Stone Method optimum solution spent transportation cost Rp 24.031.104,- so it also saved the transportation cost for 46,6% and made difference Rp 20.968.896,- of total cost of PT. Tri Pribumi Sejati Rp 45.000.000,-. To sum up that using Vogel’s Approximation Method the first solution and Stepping Stone Method optimum solution are exact method to minimize the distribution operational cost of 3kg gas tube in PT. Tri Pribumi Sejati.
Penerapan Metode Fuzzy Subtractive Clustering Nur Azizah; Desi Yuniarti; Rito Goejantoro
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 (769.335 KB)

Abstract

Cluster analysis is a statistical analysis to classify the objects to be some clusters based on checked variables and similarity of character between the objects. Quality of human living or society has been influenced by many things. In reality, population density is very influential to the quality of human living because high population density will cause many problems that impact on deterioration of quality of human living. Fuzzy Subtractive Cluster (FSC) methods using the data as a candidate of cluster center, so that duty of computation is hanging on the number of data and is not hang at dimension of data. This study aims is to determine the results of FSC at clustering the district in East Borneo based on wide of the district and total of population in 2015. The result shows there is 8 until 24 districts which have high population density. From validity of cluster, it isfounded that the best result for clustering the district in East Borneo based on wide of the district and sum of citizen in 2015 is 2 clusters, there are narrow district with many citizen and wide district with few citizen.
Penerapan Generalized Poisson Regression I Untuk Mengatasi Overdispersi Pada Regresi Poisson Iim Masfian Nur; Desi Yuniarti; 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 (104.661 KB)

Abstract

Poisson Regression model is commonly used to analyze count data is assumed to have Poisson distribution where the mean and variance values are equal or also called equdispersion. In fact, this assumption is often violated, because the value of variance is greater than the mean value, this condition is called overdispersion. Poisson regression which is applied to the data that contains overdispersion will imply the value of standard error becomes underestimates, so the conclusion is not valid. One of the models that can be used for overdispersion data is Generalized Poisson Regression I (GPR I). This research discuss the handling of overdispersion on Poisson regression using GPR I, with case study modeling the number of cervical cancer cases in East Kalimantan in 2013. In this research GPR I models meet the criteria for suitability of regression compared Poisson regression models because it has a smaller AIC value.
Analisis Pengendalian Kualitas Produksi Menggunakan Peta Kendali U dan Diagram Kontrol Decision On Belief (DOB). Nurul Rahmahani; Rito Goejantoro; Desi Yuniarti
EKSPONENSIAL Vol 10 No 1 (2019)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.197 KB)

Abstract

Statistical quality control is a problem solving technique used to monitor, control, analyze, manage, and improve products. There are two kinds of control charts, namely the attribute control chart and the variable control chart. The Decision On Belief (DOB) control chart is an attribute control chart based on Bayes's Theorem. In this study, to determine the comparison of control chart U and the DOB control chart the degree of control sensitivity in identifying out of control data on the production quality control data banner of Lineza digital printing in Samarinda. Based on the result of the research, it is found that quality control using U control chart and DOB control diagram has not been statistically controlled because there is still data out of control and in better sensitivity level in detecting out of control data is a DOB control chart because this diagram detects 65% while the U control chart is only 15%.
Analisis Distribusi Frekuensi dan Periode Ulang Hujan Widyawati Widyawati; Desi Yuniarti; Rito Goejantoro
EKSPONENSIAL Vol 11 No 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.349 KB)

Abstract

Increasing water demand for various needs can be a complex problem so it is necessary to manage water resources. Analysis of hydrological data is very necessary to get information about water resources where the information can be used as a benchmark for planning a water resources builder. One of hydrological analysis is the analysis of rainfall data where this analysis uses frequency distribution analysis and rain return periods. There are four types of distribution used, namely normal distribution, normal log distribution, Gumbel distribution and type III log Pearson distribution. The goodness of fit test uses the Kolmogorov-Smirnov method, Chi-Square and Anderson-Darling. Rainfall return calculation is calculated when it is known the type of distribution of the data studied. This research uses rainfall data of Long Iram Sub-Distric, West Kutai Distric in 2013 to 2017 obtained from the Meteorology, Climatology and Geophysics Agency (BMKG) of Samarinda City. The results from research showed that the Gumbel distribution was the right distribution or distribution that was the best with the results of the return period of rain for the return period of 2 years obtained by rainfall of 519 mm, 5-year return period of 796 mm, 10-year return period of 980 mm, return period 20 years of 1.154 mm, a 50 year return period of 1.348 mm and in a 100 year return period of 1.752 mm.
Peramalan Jumlah Penduduk Kota Samarinda Dengan Menggunakan Metode Pemulusan Eksponensial Ganda dan Tripel Dari Brown Reyham Nopriadi Gurianto; Ika Purnamasari; Desi Yuniarti
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 (183.926 KB)

Abstract

Forecasting is a process or method to predict an event that will occur in the future. Exponential smoothing is a method of moving average forecasting that conduct weighting decreases exponentially toward the value of the older observations. In this study discusses the Brown’s double exponential smoothing and Brown’s triple exponential smoothing method in predicting the population of the city of Samarinda in 2014, 2015 and 2016 are very necessary for the government to determine the population of the city of Samarinda. Double exponential smoothing method and triple from Brown is a method of extrapolation or by using a time series of past history in making the forecast for the future which used as a guide in decision-making processes. Results obtained using the method of Brown's double exponential smoothing using the parameter alpha of 0,52 was obtained that the forecast of total population in 2014 was 843.653 residents, in 2015 was 898.647 residents, and in 2016 was 944.716 residents with an average value deviation absolute (MAD) is 12.937 and the average -rata absolute percentage error (MAPE) is 2,4548. In the triple exponential smoothing method Brown’s using parameters alpha 0,4 obtained results forecast the total population in 2014 was 854.766 residents, in 2015 was 898.647 residents, and in 2016 was 944.716 residents with an average value deviation absolute (MAD) is 14.709 and the average percentage The absolute error (MAPE) is 2,7589.
Pemodelan Status Kesehatan Pasien Medical Check Up Klinik Handil Muara Jawa Dengan Regresi Logistik Biner Rakhmanto Anugrah Darmawan; Darnah Andi Nohe; Desi Yuniarti
EKSPONENSIAL Vol 7 No 2 (2016)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.204 KB)

Abstract

Health is a major human needs are also priorities in human life. many types of health providers available to the community as an example of health care clinics were organized promotive, preventive, curative and rehabilitative. Handil clinics serve patients Muara Jawa Medical Check-Up for the workers of the company or the public. To analyze the factors that affect the health of a patient Medical Check Up can use logistic regression analysis. Logistic regression analysis is an analysis that describes the relationship between the response variable is binary with explanatory variables that can be either qualitative or quantitative variables variables. Based on the research results, we concluded that of the testing parameters, only gender and companies that significantly affect the patient's health status.
Co-Authors Andini Juita Sari Athifaturrofifah Athifaturrofifah Budi Nugroho Darnah Andi Nohe Dessy Ariani Etri Pujiati Franklin Peter Anton Karundeng Hadi Dwi Darmawan Hasniah Hasniah Hidaya Annur Iim Masfian Nur Ika Purnamasari Lili Widyastuti Memi Nor Hayati Memi Nor Hayati Memi Nor Hayati Muhajir Choir Nurahman Nur Azizah Nur Fajar Apriyani Nurul Rahmahani Pratama Yuly Nugraha Rahmad Fahreza Adiyasa Rakhmanto Anugrah Darmawan Retno Octaviyani Reyham Nopriadi Gurianto Rina Fauzia Riska Handayani Rito Goejantoro Rito Goejantoro Rito Goejantoro Ronald Tediwibawa Roy Tridoni Situmorang Sri Wahyuningsih Sri Wahyuningsih Tiara Nurul Ma’ala Widyawati Widyawati Yuki Novia Nasution Yuki Novia Nasution Yuli Ratnasari