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Inferensi
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 0216308X     EISSN : 27213862     DOI : http://dx.doi.org/10.12962/j27213862
Core Subject : Science, Education, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Mathematics Social Sciences
The aim of Inferensi is to publish original articles concerning statistical theories and novel applications in diverse research fields related to statistics and data science. The objective of papers should be to contribute to the understanding of the statistical methodology and/or to develop and improve statistical methods; any mathematical theory should be directed towards these aims; and any approach in data science. The kinds of contribution considered include descriptions of new methods of collecting or analysing data, with the underlying theory, an indication of the scope of application and preferably a real example. Also considered are comparisons, critical evaluations and new applications of existing methods, contributions to probability theory which have a clear practical bearing (including the formulation and analysis of stochastic models), statistical computation or simulation where the original methodology is involved and original contributions to the foundations of statistical science. It also sometimes publishes review and expository articles on specific topics, which are expected to bring valuable information for researchers interested in the fields selected. The journal contributes to broadening the coverage of statistics and data analysis in publishing articles based on innovative ideas. The journal is also unique in combining traditional statistical science and relatively new data science. All articles are refereed by experts.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 10 Documents
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Search results for , issue "Special Issue: Seminar Nasional Statistika XI 2022" : 10 Documents clear
Message from the Chair of the Committee Anindya Apriliyanti Pravitasari
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19116

Abstract

Atas nama panitia penyelenggara, kami merasa terhormat dan senang menyambut seluruh peserta, pembicara utama (keynote speaker), dan invited speaker, serta peserta dalam Seminar Nasional Statistika XI (SNS XI). Acara ini adalah seminar nasional tahunan yang diselenggarakan oleh Departemen Statistika Universitas Padjadjaran, dengan dukungan dari Forstat dan Jurnal Inferensi ITS. Secara khusus, tema dari SNS XI ini adalah "Machine Learning: Statistics and Lifestyle" yang merupakan penelitian mengenai kemajuan statistika di era machine learning dan kecerdasan buatan. Kami berharap acara ini dapat memfasilitasi semua peserta untuk berinteraksi secara intensif guna memperluas jaringan ilmiah di masa depan.
Pengendalian Kualitas Statistik Air Higiene Sanitasi Menggunakan Peta Kendali SSRM Salsabila Hasananda; Wibawati Wibawati
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19127

Abstract

Sanitary hygiene water is water that is used by everyone for bathing, washing, and toilet purposes where the quality standards for sanitary hygienic water are regulated in PERMENKES RI No. 32 of 2017. In the process of treating raw water into sanitary hygiene water, the water treatment plant unit pays attention to five quality characteristics, namely the pH level of the water, active chlorine concentration, turbidity, total hardness, and total solids. The quality control process carried out in the water treatment plant unit is classified as conventional by only checking the composition of each quality characteristic with the quality standard specifications without checking simultaneously. This study aims to determine statistical quality control through average monitoring of the sanitary hygiene water production process using a modern multivariate control chart resulting from the integration of the Multivariate Exponentially Weighted Moving Average (MEWMA) control chart with a spatial signed rank called the Spatial Signed Rank MEWMA (SSRM) control chart. The results showed that the characteristics of sanitary hygiene water had an influence on each other and did not have a multivariate normal distribution. So statistical quality control of sanitary hygiene water can be carried out using the SSRM control chart. This is because the SSRM control chart is good for data that is not normally distributed. This study also conducted monitoring of the average sanitary hygiene water process using the MEWMA control chart. The SSRM control chart is more suitable for controlling sanitary hygiene water than the MEWMA control chart because the number of out-of-control data observations on the SSRM control chart is greater than the MEWMA control chart.
Model Polinomial Sebagai Model untuk Melihat Hubungan Fungsional Antara Variable Respond dan Perlakuan Enny Supartini
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19117

Abstract

The use of waste as raw material for other products is a good thing to do, one of which is the use of fish skin waste which can be used as raw material for making gelatin which is one of the raw materials that is widely used for food products. In the process of making gelatin, it is affected by the concentration of malic acid when soaking the fish skin raw material and it is necessary to know what concentration of malic acid is right to obtain the desired quality. To see the effect of malic acid content on the acidity of the yield, analysis of variance was used and to see the functional relationship between the quality of the acidity of the marinade and the concentration of malic acid given, a polynomial model could be used. From the results of the analysis, it was found that there was an effect of the concentration of malic acid given on marinade, while the functional relationship obtained was a polynomial second-order model.
Analisis Biplot Pada Pengelompokan Kecamatan Di Kabupaten Tasikmalaya Berdasarkan Indikator Kemiskinan Annisa Siti Utami; Anindya Apriliyanti Pravitasari; Irlandia Ginanjar
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19128

Abstract

Poverty is a social problem that continues to exist in people's lives according to Nurwati, 2008. Therefore, the problem of poverty is the center of attention of the Tasikmalaya Regency government. In the National Long-Term Development Plan (RPJPN) 2005-2025 the problem of poverty is seen in a multidimensional framework, therefore poverty is not only related to income measurement, but related to several things. This is because poverty is not only related to the size of income but involves several things. In the Tasikmalaya Regency Regional Medium-Term Development Plan (RPJMD), the target for achieving the poverty rate in 2021 is 10.23%. Based on BPS publications, there are 10.75% of the population of Tasikmalaya Regency who are categorized as poor, meaning that the Tasikmalaya Regency government's target has not been achieved. So it is necessary to make efforts to overcome the problem of poverty. This study aims to group sub-districts in Tasikmalaya Regency based on the similarity of poverty indicators owned by each sub-district by using biplot analysis. The data used is poverty indicator data for 39 sub-districts in Tasikmalaya Regency in 2021. From the research results it is known that the amount of variation that can be described is 97%, meaning that the plots formed can best describe actual conditions. data information. In addition, three clusters have the same poverty indicators. Cluster 1 contains sub districts that have an indicator in the form of a high student to school ratio in SMA/SMK/MA. Cluster 2 contains sub districts that have moderate to low indicators on all variables except the ratio of SMP/MTs students and the ratio of SMA/SMK/MA students. Meanwhile, Cluster 3 consists of sub-districts that have an indicator in the form of a high ratio of SMP/MTs students.
Perhitungan Premi Tunggal Bersih pada Asuransi Jiwa Kredit Sinking Fund Gatot Riwi Setyanto
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19118

Abstract

Various types of banking product innovations were rolled out to keep up with the needs and more advanced developments, one of which is a credit or loan facility that can be utilized by the public. This credit facility is in great demand by the public because it is very helpful, especially in terms of additional capital. However, this credit activity can also be full of risks because most of the funds are entrusted to the public. Therefore, the provision of credit must be accompanied by strict risk management. As time goes on after credit is realized, banks are faced with credit risk problems, namely bad credit. Conducting a 5C (Character, Capacity, Capital, Economic Condition, and Collateral) analysis of customers is one way for banks to reduce the risk of bad credit. In fact, even though anticipatory steps have been taken by applying the 5C analysis, there is still a risk of default due to the death of the debtor, which causes the loan to not be fully paid off. In response to the possibility of the foregoing, financial/banking institutions adopted a policy requiring debtors to obtain term life insurance for a period of time equal to the term of the loan. For this reason, banks usually cooperate with life insurance institutions. Therefore, it must be ensured that the net single premium is paid at the beginning of the credit loan. With regard to the above, this paper will provide an overview and also discuss the concept of calculating the net single premium on credit life insurance, especially for debtors who make loan transactions to banking institutions that apply loan repayments with the sinking fund concept with a period according to the loan repayment tenor. So that when the debtor dies, he can pay the remaining unpaid loan to the lending institution or  bank.
Determinan Faktor Rendahnya Kepemilikan Jamban Keluarga dengan Regresi Logistik di Desa Penen, Kabupaten Deli Serdang, Sumatera Utara Novrika Silalahi; Elmina Tampubolon
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19129

Abstract

Towards 2025, health in Indonesia is moving towards having all citizens have basic sanitation or community-based total sanitation activities. With this program it is very important to support the importance of programs to increase awareness of family latrine ownership. In Deli Serdang Regency, in the Biru-Biru District, Penen Village is one of the villages whose residents income from agricultural sector has 40% of the family’s latrines. This percentage figure is a small number. For this reason, this study aims to determine the factors that influence low family latrine ownership and determine the biggest factor for low family latrine ownership by means of multivariate analysis, namely logistic regression. Logistic regression is a regression that has special characteristics from linear regression analysis which has the same goal of predicting value. Logistic regression is widely used in the application of the causal factors of several variables, to analyze the relationship of one or more independent variables with a dependent variable that is binary or dichotomous. The variables used in this study are knowledge, economic status, attitudes, behavior, and the role of health workers, to find the factors that cause low family latrine ownership in Penen Village. The research design used cross sectional with a sample of 76 heads of families, with random sampling. The results showed that the variable knowledge (p-value = 0,000), economic status (p-value = 0.001), attitude (p-value = 0,008), behavior (p-value = 0,008), and the role of health workers (p-value = 0,03). The final result of the logistic regression, the variable which is the biggest factor influencing the low family latrine ownership is knowledge with an Odd Ratio of 80,947. The probability value (p) is 0.0038 or 0.38% with the regression model equation formed, namely Y = -17,719 + 4,394 (Knowledge) + 2,272 (Attitude) + 1,34 (Behavior) + 4,14 (Role of Health Workers)
Peramalan Curah Hujan di Kota Bandung dengan Metode SARIMA (Seasonal Autoregressive Integrated Moving Average) Muhammad Ilham Hakiqi; Arif Firmansyah; Restu Arisanti
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19119

Abstract

The need for future rainfall information, modeling and forecasting is important. The forecasting method is a method used to predict future conditions based on past data. Rainfall data is time-series data in the form of seasonality, a pattern that repeats at fixed time intervals, so the authors use the Seasonal Autoregressive Integrated Moving Average (SARIMA) method, which is appropriate for data with seasonal characteristics. The author takes monthly rainfall data in Bandung city for the period January 2016 to December 2021 to forecast rainfall in Bandung city for next year. After calculations using the SARIMA method, the best model for forecasting rainfall in the city of Bandung is then obtained, namely the SARIMA model (0,0,0)(0,1,1)12.
Perbandingan Performa Bandwidth CV, AICc, dan BIC pada Model Geographically Weighted Regression (Aplikasi pada Data Pengangguran di Pulau Jawa) Carisa Putri Salsabila Purnamasari; Yekti Widyaningsih
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19130

Abstract

Unemployment is a social phenomenon, a problem faced by every region in Indonesia. One way that can be carried out to reduce the unemployment rate is analyzing the factors that affect the open unemployment rate. Rather than using linear regression analysis, Geographically Weighted Regression (GWR) was preferable since it gave a better representative model by effectively resolve spatial heterogeneity problem which is generally exist in spatial data of social phenomenon. Spatial heterogeneity show that linear regression analysis will give a misleading interpretation results in some locations. GWR solve this problem by generating a single model in each observation location so the regression parameters can be different at each observation location. Parameter estimation in the GWR model uses weights based on the location of each observation so that the estimate model applies only to this location. The weighting determination depends on the bandwidth value. Bandwidth is a circle with radius ℎ from the center point of the observation location which is used as the basis for determining the weight of each observation location. Smaller bandwidth value will result a large variance. It can happen because when the bandwidth is very small, there will be a small number observations in the radius h, which can makes the estimate model is very rough (undersmoothing) because it uses few observations, and vice versa. Therefore, choosing the optimum bandwidth is very important in determining the weights where it can affect the accuracy of the model formed. This study aims to compare the performance of the GWR model using the Cross Validation (CV), Akaike Information Criterion Corrected (AICc), and Bayesian Information Criterion (BIC) bandwidth methods in the formation of Fixed Gaussian Kernel weighted function which is applied to unemployment data in districts/cities in Java. The results show that the GWR model with CV bandwidth is better at explaining district/city unemployment data on Java Island in 2020 which it has the smallest RMSE value, 1.0904, and the largest R2 and Adjusted-R2 values, namely 0.8539011 and 0.7937159, respectively.
Analisis Sentimen Ulasan Pengguna Aplikasi E-Samsat Provinsi Jawa Barat Menggunakan Metode BiGRU Rahma Kania Dewi; Bertho Tantular; Jadi Suprijadi; Anindya Apriliyanti Pravitasari
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19113

Abstract

Organizing the facilitation of local revenue tasks and public services is one of the main tasks, functions, detailed unit tasks, and work procedures of the West Java Provincial Revenue Agency. One of the public services for the community in improving service to the West Java community is to launch an e-samsat innovation in providing annual Motor Vehicle Tax (PKB) payment services and updating ownership status through an Android-based smartphone application called Samsat Mobile Jawa Barat (SAMBARA) and can be downloaded for free on the Google Play Store. Service satisfaction is an important aspect in service development, therefore research was conducted. This study analyzes the sentiment of the Samsat Mobile Jawa Barat (SAMBARA) application on the Google Play Store by categorizing user reviews into three groups: Positive, Negative, and Neutral. The method chosen is the Bidirectional Gated Recurrent Unit (BiGRU). BiGRU is able to predict user reviews with an accuracy of up to 87.37%, which is considered good and can be used to help the development of service applications in West Java.
Determinan Kepemilikan Jaminan Kecelakaan Kerja pada Pekerja Informal di Provinsi Jawa Timur Hery Wahyu; Lia Yuliana
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19124

Abstract

The informal sector is often seen as workers with low wages, difficult and dangerous jobs, and low protection. The high rate of work accidents makes the importance of work accident insurance for all workers, especially informal workers. Work Accident Insurance is a benefit in the form of cash and health services provided when a participant experiences a work accident or illness caused by the work environment. This study aims to determine the factors that influence Occupational Accident Benefit ownership for informal sector workers in East Java Province in 2021 using the binary logistic regression method. The data used comes from August 2021 SAKERNAS data. The results of this study show that the variables of the area of residence, gender, income, age, marital status, education, and the number of household members affect Occupational Accident Benefit ownership status. Informal sector workers who have a greater tendency to have Occupational Accident Insurance are informal workers with the characteristics of residing in urban areas, male gender, having income greater than or equal to the provincial minimum wage, have been married, having an age range of 15- 25 years old, minimum education is high school, and the maximum number of household members is 4 people

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