Badan Pusat Statistik Research Articles

Academic Clinic Development Strategy Through Balanced Scorecard Approach (Study at RSGM-P FKG Usakti Academic Clinic, Indonesia)

The Academic Clinic is a supporting facility for the academic continuity of dental faculty students. The need for the preparation of a strategic plan for the development of academic clinic services as a health organization aims to anticipate various kinds of situations that are always changing and related to external and internal environmental factors. Strategic management tools can help generate some of the best alternative strategies for developing academic clinics with the Balanced Scorecard (BSC) approach. This study aims to develop a development strategy for the Dental and Oral Educational Hospital Faculty of Dentistry Universitas Trisakti (RSGM-P FKG Usakti) Academic Clinic based on four BSC perspectives: finance, customers, internal business processes, and learning and growth. This operational research was conducted using quantitative and qualitative methods. Secondary data was collected from Badan Pusat Statistik (BPS), Hospital Annual Report, and comparable RSGMs. Primary data collection used questionnaires, interviews, and a Consensus Decision Making Group (CDMG) to obtain variables that became strategic factors. Based on four BSC perspectives, it increases academic clinic income from financial perspectives, provides easy access and increases customer trust for customer perspectives, captures market opportunities, builds a good image of academic clinics from an internal business processes perspective, and increases human resource capabilities for learning and growth perspective.

Analisis Kegunaan Situs Website Perpustakaan Khusus Badan Pusat Statistik Provinsi Sumatera Utara dengan Menggunakan System Usability Scale

This study discusses the usability of the Special Library Website for the Central Badan Pusat Statistik Provinsi Sumatera Utara (Bureau of Statistics of North Sumatra Province) using the System Usability Scale. The purpose of this study is to determine the effectiveness of the website, how efficient the website is and aims to find out how satisfied users are in using the website of the Special Library of the Central Bureau of Statistics of North Sumatra Province. The type of research used in this study is a quantitative descriptive method, to analyze Effectiveness, Efficiency and Satisfaction, namely by using the System Usability Scale and collecting data by distributing questionnaires to users of the website of the Special Library of the Central Bureau of Statistics of North Sumatra Province. The results of this study indicate that the use of the website for the Special Library for the Central Bureau of Statistics of North Sumatra Province is based on the dimensions of the effectiveness of the website, it is easy to use and there are also no obstacles in using the website and it is quite confident when accessing it. Meanwhile, in the efficiency dimension, there are still those who think that this website is still inconsistent and there is still data that cannot be accessed. Whereas the dimensions of user satisfaction indicate that the user is satisfied, the user also does not need to get used to the website and the features provided are running properly making visitors more active in using the website. This research implies that library institutions must continuously develop websites, to manage websites by providing features that work properly, provide relevant and up to date information because it can improve website usability and also library services for the better.

Does Islamic social finance promote the quality of human resources?

Purpose – This study aims to examine the contribution of Islamic Social Finance (ISF) distribution by sector (health, education, and economy) to the three dimensions of the Human Development Index (HDI) (health, education, and economy) and HDI aggregate in 34 provinces in Indonesia during the Covid-19 pandemic period (2020-2022).Methodology – A total of 102 panel data, a combination of data from 34 provinces in Indonesia (cross section) for a period of three years from to 2020-2022 (time series), were analyzed using a fixed effects panel model approach. Data were obtained from the National Board of Zakat (Badan Amil Zakat Nasional, BAZNAS) and the Central Statistics Agency (Badan Pusat Statistik, BPS).Findings – The main research results show that ISF channeled for human development purposes (in total) significantly increases the aggregate HDI by 0.008538%. However, the ISF distributed by sector (health, education, and economy) has a positive but insignificant impact on the three dimensions of HDI (health, education, and economy). This makes sense because the proportion of ISF distribution for these three fields tends to be small compared with other sectors.Implications – It is recommended that ISF fund allocation be more efficient, equitable, fair, and capable of reaching all aspects of human life. In addition, efforts must be made to collect ISF funds more effectively through technological integration.Originality – Most previous research has only tested Islamic social finance against HDI in aggregate, not by dimension, so the results were less specific.

Analisis Pengaruh Jumlah Uang Beredar, Suku Bunga, dan Nilai Tukar Terhadap Tingkat Inflasi di Indonesia Periode Tahun 2001-2020

The Corona virus or COVID-19 pandemic has a huge impact on the world economy. The Indonesian government has taken a comprehensive policy in the fiscal and monetary fields to deal with the Covid-19 pandemic. This study aims to analyze the long-term and short-term effect of the Money Supply (JUB), Interest Rate (SB), and Exchange Rate (NT) on the Inflation Rate (INF) partially or simultaneously on the Inflation Rate (INF) in Indonesia in the period 2001 to 2020.The research method used is a time series econometric model, using the ECM (Error Correction Model) method. The data used are semiannual quantitative data in the period 2001-2020. Secondary data obtained from the results of publications conducted by Bank Indonesia (BI) and Badan Pusat Statistik (BPS) in the form of processed data published.The results showed that the money supply partially had a positive and significant effect in the long term, while in the short term it had a partially positive and insignificant effect on the inflation rate. Interest rates partially had a negative and significant effect both in the short and long term on the inflation rate. Exchange Rate partially has a positive and insignificant effect in the long and short term on the Inflation Rate. The Money Supply, Interest Rates, and Exchange Rates simultaneously and significantly affect the Inflation Rate in the long term and short term in Indonesia in the period 2001 to 2020.

Effect of Production, Price, and Rupiah Exchange Rate on the Export Value of Cocoa Beans (HS 1801) in Indonesia

Among Indonesia's many plantation exports, cocoa beans play a starring role. In general, the trends in the export value of cocoa beans is inseparable from external changes including prices, production, and exchange rates. The purpose of this study is to determine the effect of the independent variables cocoa bean price (X1), rupiah exchange rate (X2), and cocoa bean production (X3) on the dependent variable Indonesian cocoa bean export value (Y). This research uses a quantitative approach in the form of a time series. the data used is secondary data sourced from the Badan Pusat Statistik, Bank Indonesia, and the International Cocoa Organization starting from 2008 to 2022. The data analysis method is multiple linear regression (ordinary Least Square). Based on the results of the analysis obtained information that the price of cocoa beans has a significant impact on the export value of cocoa beans, the rupiah exchange rate has no affect the export value of cocoa beans, and cocoa bean production has a significant impact on the export value of Indonesian cocoa beans.

Factors Affecting The Local Taxes Revenue By Provincial Governments In Indonesia

This study aims to investigate the influence of regional gross domestic product (GDP), population size, and the poverty rate on the local tax revenues of Indonesian provincial governments. Secondary data from the publications of the Central Statistics Agency (Badan Pusat Statistik) covering a 5-year period from 2016 to 2020 were utilized for this research. The study focuses on 34 provinces in Indonesia. The research employs panel data regression with the panel-generalized least squares model. The findings indicate that regional GDP has a positive and significant impact on the local tax revenues of provincial governments. An increase in the population size also positively and significantly affects the local tax revenues. Conversely, a rise in the percentage of the population living in poverty has a negative and significant effect on local tax revenues of provincial governments. The simultaneous influence of regional GDP, population size, and the poverty rate on local tax revenues is also significant. To promote higher local tax revenues, the government should encourage economic growth in the regions and invest in enhancing the quality of human resources. This approach would lead to increased regional GDP and population, thereby boosting local tax revenues. Furthermore, efforts to reduce poverty levels would raise consumption and income among the population, ultimately contributing to increased local tax revenues.

Classification of Java Cities/Regencies Based on Human Development Index Using Discriminant Analysis and Naïve Bayes Classifier

Aims: This research aims at grouping of cities/regencies on the island of Java, where the central government as well as the most densely populated island in Indonesia, using linear discriminant analysis (LDA) and Naïve Bayes Classifier (NBC).
 Study Design: Quantitative design.
 Place and Duration of Study: Sample: The data used in this study is secondary data from the Indonesian Central Statistics Agency (Badan Pusat Statistik, BPS) regarding the 2022 Human Development Index (HDI) from 119 cities/regencies on the island of Java. The data used are four HDI indicators as independent variables (long and healthy living, knowledge, and the dimensions of decent living standards) and the HDI value as the dependent variable.
 Methodology: The grouping was carried out using LDA and NBC. LDA is a type of multivariate analysis used in the dependency method where the relationship between variables can be distinguished between the independent variable and the dependent variable. It aims at obtaining discriminant function equations to group cases into certain groups and to determine differences between groups based on independent variables. Meanwhile, the NBC method is a simple probability-based prediction technique based on the application of Bayes' theorem (Bayes' rule) with a strong assumption of independence.
 Results: Both LDA and NBC can be used for prediction and classification. Based on the results of the discriminant analysis, three discriminant functions were formed to group cities/regencies on the island of Java into three HDI groups. In the NBC analysis, the prior probability value for the very high category HDI group was 0.211, the high category HDI group was 0.606, and the medium category HDI group was 0.183. The research results show that LDA is better than the NBC for grouping cities/regencies based on the 2022 HDI indicators with an accuracy rate of 72.92%. Meanwhile, the NBC analysis only provides an accuracy of 64.58%. Three discriminant functions have been obtained to group cities/regencies on the island of Java based on the largest discriminant score where life expectancy makes the largest contribution in distinguishing each group.
 Conclusion: As a result, in this case LDA is a better classification method than the NBC. It is also of important to note medium class regions for further actions from stakeholders.

Analisis Surplus-Defisit Air Daerah Irigasi Gondang Kabupaten Lamongan

Population growth in Indonesia has increased by an average of 1.25% from the previous population every year from 2020 to July 2022 (Badan Pusat Statistik, 2022). Population growth is in line with increasing food needs, where development in agriculture is one of the priorities in building food security in the future. Lamongan Regency contributed 564,139 tons of rice in 2020 and was nominated for 5 (five) largest major contributors at the national level (Redaktur Jatim, 2021). High population growth and increasing food demand require adequate infrastructure, including efficient irrigation systems. The balance of available irrigation water and required water determines success in irrigation water management. This study aims to analyze reliable water discharge using the F.J. Mock method, calculating plant needs to determine water surpluses. This research was conducted in the Gondang Irrigation Area located in Sugio District, Lamongan Regency. The area of gondang irrigation area is 10588 ha. From the results of the study, the highest discharge occurred in 2013, in April period II amounting to 77.71 m3 / s. The water needs of plants experience water shortages for 3 months (July-September).

Women and Traditional Cullinary Attraction

Traditional culinary has become one of the main attractions in Indonesian tourism, even occupying the first position in its contribution to gross domestic product. Culinary has also become a competitive business industry and cannot be separated from the role of women behind the scenes. Women are often associated with domestic jobs; such as household and children. However, Madurese women have limited space for movement, even though they have a high work ethic. Meanwhile, Yogyakarta women seem more aristocratic. The more traditional culinary develops, the greater the opportunity to compete in the free market era. Moreover, traditional culinary attractions can explain the figure behind culinary creations, culinary developments and innovations as well as how culture is in it. This study explains the role of women in traditional culinary attractions in the Madura and Yogyakarta regions. Through a theoretical approach and phenomenological method, this study focuses on the subjective experiences of women culinary practitioners and the involvement of external parties. The external parties involved in this research are as follows; Department of Commerce, Office of Industry and Manpower, Culinary Entrepreneurs, Bakesbangpol, and Badan Pusat Statistik. In Madurese culinary, Madurese women produce traditional culinary delights that can become the hallmark of their region. The drawback is in the traditional Madurese culinary side attractions which is still very minimal. Madurese traditional culinary also has different times of promotion and sale, for example Nase Serpang and Tajin Shobih which are only sold in the morning. In contrast to traditional culinary in Yogyakarta, which has strength even in terms of naming which is firmly attached to the memory of consumers. So that the traditional culinary attractions in Yogyakarta seem to be easier to attract consumers from the cooking method, sales methods to packaging. One of them is Gudeg which has a unique and traditional way of packaging, using both besek and kendil. The role of women in culinary is driven by several factors, culinary industry run from generation to generation, supporting the family's economy, and preserving traditional cuisine in Madura and Yogyakarta.

STRATEGI BERTAHAN HIDUP PETANI PERKOTAAN DI KOTA GORONTALO

Gorontalo City is the capital city of Gorontalo Province; however, in some places in Gorontalo City, there are still scattered agricultural lands and most of the agricultural land is surrounded by buildings and housing. The purpose of this study was to determine the survival strategy of urban farmers in Gorontalo City and analyze income based on the cost of living for farmers and their families. Secondary data in this study were obtained from the Agricultural Extension Center (BPP) and the Badan Pusat Statistik (BPS) or relevant sources in the form of data on the number of farmers in Gorontalo City. This study uses a mixed-methods approach, namely quantitative and qualitative approaches. Primary data were obtained from interviews with research informants, with a limit on the number of informants to as many as 30 farmers. The primary data collection instrument was divided into two types: questionnaire A for all informants and questionnaire B for 10 informant farmers (with the criteria of separate land from other farmers' land) through the in-depth interview method. A qualitative approach with interactive analysis of the Miles and Huberman model. The results showed that the income of rice farmers was Rp. 489.586348 with 27 farmers, tomato commodities were Rp. 20.991.667 with 2 farmers, and mustard commodities were Rp. 5.160.000 with 1 farmer. The total family living cost of the respondents per month is Rp. 87,799,980. In general, farmers use a double-income strategy to meet the needs of their families, such as pulling bentor (ngojek), workshops, and construction workers

Pengaruh Pajak Daerah Dan Retribusi Daerah Terhadap Pad Dengan Jumlah Penduduk Sebagai Variabel Moderasi

This study aims to determine and analyze the effect of regional tax revenues and regional retribution on local origional income with population as a moderation variable in the Lamongan Regency Government in 2015-2022. This research is included in quantitative research with the type of data used, namely secondary data obtained from the Badan Pemeriksa Keuangan (BPK) of East Java Province Representative and Badan Pusat Statistik (BPS) of Lamongan Regency. The population in this study is all reports containing the types of regional taxes, regional retribution, local original income and population of Lamongan Regency for 2015-2022 totalling 334 data. The sampling technique is purposive sampling with the final number of samples used which is 240 data. The data analysis method used is descriptive data analysis with the help of SmartPLS statistical tools. The results of this study show that regional taxes and regional retribution have a positive and significant effect on local original income, population is able to moderate the relationship of regional taxes to local original income with weak categories, and population is able to moderate the relationship of regional retribution to local original income with strong categories.

Analisis Spasial Angka Kematian Balita di Pulau Papua Menggunakan Mixed Geographically Weighted Regression

<p>One of the goals of the Sustainable Development Goals is to end under five mortality which can be prevented by at least 25 per 1000 live births by 2030. Based on Badan Pusat Statistik (BPS) data, in 2020 the Under Five Mortality Rate (U5MR) in Papua Province is 49.04, while in West Papua Province of 47.23. This figure makes the island of Papua the island with the highest U5MR compared to other islands in Indonesia. The problem of U5MR has different influencing factors for each region, so it is important to include spatial effects in the analysis. The Mixed GWR model can be used to overcome spatial linkages between regions, accommodate variations in the form of spatial heterogeneity, and handle variations in parameters that are global and local in nature. Therefore, this study aims to analyze the variables that affect U5MR in Papua Island using Mixed GWR. This study uses secondary data sourced from BPS. The unit of analysis for this research is the districts/cities in Papua Island. The dependent variable in this study is U5MR, while the independent variables include the percentage of women aged at first pregnancy less than 21 years, Gross Regional Domestic Product per capita, the percentage of households with the main type of fuel in the form of solid fuel, the average length of schooling, and the percentage of households with access to source of proper drinking water. The results showed that the percentage of women aged at first pregnancy less than 21 years, the percentage of households with the main type of fuel in the form of solid fuel, the average length of schooling, and the percentage of households with access to source of proper drinking water had a significant effect on U5MR in several districts/cities on the island of Papua. Therefore, it is hoped that district/city governments on the island of Papua in developing programs/policies to reduce U5MR can adjust to the conditions of each region.</p><p><strong>Keywords: </strong>Under Five Mortality Rate; Papua island; Mixed GWR</p>

Indonesia's export comparative and competitiveness advantages in the 'emerging market' scheme during the pandemic

Relevance. The unprecedented disruptions caused by the COVID-19 pandemic had a profound impact on the global economy, including Indonesia. Despite the challenges, Indonesia successfully managed to navigate and recover its international economic activities. Analyzing how Indonesia navigated its export advantages during the COVID-19 pandemic is crucial for understanding its resilience in the global economy. Research objective. The study aims to analyze the comparative and competitiveness of Indonesian export products, particularly the food processing industry, under the scheme of emerging markets and developing economies during the COVID-19 pandemic. Data and methods. This study relies on the data from Badan Pusat Statistik (BPS) and the Indonesian Ministry of Trade, along with world export data from the World Bank, OECD, and the International Trade Center, to examine the food processing industry during the 2021-2022 pandemic. Using the Revealed Comparative Advantage (RCA) model, it classifies comparative products for potential exports and diversification guidance. The Export Product Dynamics (EPD) model measures competitive advantage and serves as an early warning indicator, providing a comprehensive trade analysis for identifying growth opportunities and mitigating risks. Results. The RCA findings indicate that Indonesian processed food products for emerging market countries exhibit strong comparatives, supported by factors such as selling prices, production capacity, innovative technology, and trade tariff policies. This is reinforced by the results of the EPD analysis, which shows the dominance or rising star status of these products. Conclusions. The dominance of processed Indonesian food products points to the need for the government to uphold and expand exports beyond emerging market countries. Recommended measures include initiating revitalization, transformation, market analysis, and evaluating products categorized as falling stars or experiencing failures, missed opportunities, and retreats. Additionally, a focus on the upstream-downstream sectors of the food processing industry is crucial.

Efektivitas Program Indonesia Pintar terhadap Partisipasi Sekolah di Kawasan Barat dan Timur Indonesia

Smart Indonesia Program (PIP) is a government program that aims to make the 12-year compulsory education program a success. The PIP program has been running since 2015. However, the Badan Pusat Statistik (BPS) notes that there are still school-age residents who are not attending school, even though the percentage of children not attending school has decreased. This study aims to measure the implementation of PIP and other factors on school participation in two regions, namely the West Indonesia Region (KBI) and the East Indonesia Region (KTI) in 2021. This research uses data from the 2021 National Socio-Economic Survey (Susenas) in the Indonesian Region West (KBI) and Eastern Indonesia Region (KTI). Data analysis used logistic regression method. The results showed that all independent variables, PIP, gender, marital status of head of household, classification of area of residence, per capita expenditure, other social assistance had a significant effect on school enrollment in the Western Regions of Indonesia (KBI) and Eastern Indonesia (KTI). . The biggest tendency for children to participate in school is the PIP.

Hubungan Intensitas Menonton Youtube dengan Kemampuan Bicara dan Personal Sosial Anak Balita Usia (2–5 Tahun) di PAUDIT Insan Permata

Background: Based on Badan Pusat Statistik data (2020), 25,9% of gadget total users are children under 5 years old. Children tend to use gadgets to watch movies, music, video clips those on YouTube. Children under 5 years old who uses gadget have 3 times greater risk of experiencing language delays which can affect development in other aspects such as personal social. Aims: to find out the relationship between the intensity of watching YouTube with speaking and personal social skills in children (2-5 years old) at PAUD Islam Terpadu Insan Permata Malang. Method: analytical observational design applied with cross sectional approach and analyzed by using Spearman Corelation Rank method. Result: there was no meaningful relationship between the YouTube watching intensity and personal social skills, but there was a meaningful rrelationship between the YouTube watching intensity and speaking skills in children, ,p value= 0.029 < α=0.05 and correlation number of 0.345 which was included in moderat category. Conclusion: the YouTube watching intensity is related to speaking skills but unrelated to personal social skills in children (2-5 years old) at PAUD Islam Terpadu Insan Permata Malang.

Development of FASIH Application for the Badan Pusat Statistisk using Flutter Framework

One of the data collection methods used by the Badan Pusat Statistik (BPS) is Computer Assisted Personal Interviewing (CAPI). Currently, CAPI, known as FASIH, is continuously updated by BPS using the Kotlin programming language, which can run on the Android platform. It is possible that FASIH will be needed in a multiplatform form. However, there is an alternative for multiplatform application development, namely Flutter, which can be used in the development of FASIH. Nevertheless, BPS has not conducted any study on the development of the FASIH application using Flutter, hence the strengths and weaknesses of implementing this technology in FASIH application development remain unknown. Therefore, the author aims to conduct a study on the development of the FASIH application utilizing Flutter. The application development is carried out using the Rapid Application Development (RAD) Prototyping method. The resulting application is tested using black box testing and performance testing using a third-party application, Apptim. The black box testing results indicate that the application meets the functional requirements of stakeholders. In terms of performance, the Kotlin version of FASIH outperforms the Flutter version. However, Flutter has an advantage in accelerating development time. Additionally, concerning user interface development, the Flutter version of the FASIH application can run on multiple platforms. Nevertheless, further integration is required to ensure the proper functioning of the Flutter version of the FASIH application.

Time-Series Clustering of the Regencies Hotel Room Occupancy Rate in Indonesia after the COVID-19 Pandemic

After COVID-19 pandemic, Indonesia entering the recovery era. The government provides incentives for tourism industry recovery. This policy was created because the impact of COVID-19 pandemic on tourism industry at each regencies/cities are different. This study investigates a different recovery pattern at regencies/cities across Indonesia. The data of this study consist of the room occupancy rate (ROR) from Badan Pusat Statistik (BPS) Indonesia and from web scraping monthly data from Agoda website between 1 January 2021 until 1 August 2023. The regencies/cities are clustered by ROR category using the dynamic time warping method. The result of study, there is a difference of tourism industry recovery at regencies/cities across Indonesia, which is the speed are fast, medium, or slow. This could be the result of differences of different policy in each regency/city to respond COVID-19 pandemic on their tourism industry.

Comparative Analysis of Retriever and Reader for Open Domain Questions Answering on BPS Knowledge in Indonesian

Enumerators from Badan Pusat Statistik (BPS) still often encounter problems in finding solutions to cases encountered during censuses or surveys. Even though knowledge lists have been created and collected in various systems such as QA and knowledge management systems, enumerators still need to find appropriate answers from long and complex knowledge search results. On the other hand, Open-domain Question Answering (OpenQA) is capable of identifying answers to natural questions based on large-scale documents. OpenQA has main components, namely Retriever and Reader. For Retriever tasks, Dense Retrieval (DR) is proven to outperform traditional sparse retrieval such as TF-IDF or BM25. However, other research actually shows that BM25 is superior to DR in terms of accuracy. In this study, we compared DR and BM25 separately and DR+BM25 as a retriever. Additionally, we combine and evaluate several enhanced language models as Readers. In this way, a model with the best combination of Retriever and Reader can be obtained to be implemented in search systems such as QA and knowledge management systems.

Analysis of Factors Affecting the Open Unemployment Rate (UOR) 2022 : A Case of Banten in Indonesia

Unemployment is one of the many economic problems. One type of unemployment is open unemployment. The Open Unemployment Rate (UOR) in Banten Province has the largest rate in Indonesia. In this study, exploratory factor analysis was used with the aim of finding out the factors that contribute to UOR in Banten Province. The data source used is secondary data obtained from publications by Badan Pusat Statistik. Factor 1 (human development) includes the Human Development Index, Economic Growth, Population Growth Rate, Literacy Rate and Mean Years of Schooling (MYS) and Factor 2 (population) consists of only one variable, that is total population. The results of this research show that total population, HDI, and MYS have the largest contribution to UOR in Banten Province. It is hoped that the government can increase business opportunities, employment opportunities and mature human development planning to reduce UOR in Banten Province.

ANALISIS PROFIL GEN IRT PADA TANAMAN PADI (Oryza sativa L.) DENGAN MENGGUNAKAN MARKA SSR DAN SNP TERHADAP KONDISI CEKAMAN BESI

Badan Pusat Statistik reported that rice production in 2019 decreased by 2.63 million tons (7.75 percent) when compared to 2018 production. Efforts to increase national rice production can be made by utilizing swamp land as rice production land. The high concentration of Fe in swamp land is an obstacle in its utilization. Selection of iron stress tolerant rice strains is needed . The purpose of this study was to determine the iron stress tolerant swamp rice strains and the relationship of tolerance levels in rice strains based on SSR (Simple Sequence Repeats) and SNP (Single Nucleotide Polymorphism) markers. The results showed that the rice strains tolerant to 1600 ppm FeSO4 stress was Siam Saba. Four of the 11 SSR markers used showed polymorphism, namely RM 125, RM 180, RM 320, RM 336. Cluster analysis showed that 4 rice strains were divided into 2 main groups with a similarity coefficient of 0.66. The first group consists of swamp rice (Siam Saba and Siam Tanggung) and the second group consists of paddy rice (Ciherang and INPARI 34). Analysis with SNP markers showed 12 SNP points. There was a deletion mutation at position 1007 bp and an insertion mutation at position 1151 bp.