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ANALISIS PERUBAHAN SRUKTUR EKONOMI KOTA BANDUNG MELALUI MODEL INPUT OUTPUT Yanti, Teti Sofia; Sunendiari, Siti
EKSPANSI Vol 8, No 2 (2016)
Publisher : Politeknik Negeri Bandung

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Abstract: Implementation of the development done in a particular region is basically a series of implementation process of development planning. Development of Bandung as an integral part of regional and national development is basically an integrative process both at the level of planning, implementation and control on an ongoing basis in order to realize the welfare of society. For the purposes of planning and evaluation of the outcomes of development that is comprehensive both national and regional scale, a model for regional development planning approach can implement the model input output analysis. The use of Multiplier Product Matrix (MPM) to the Table Input Output in 2003 and 2008 illustrate economic structure of the city of Bandung has experienced a change. In 2008, the trade sector has grown very conspicuous compared with other sectors. Trade and road transport sector has increased significantly. Thus the development priorities and investment Bandung should be directed at trade and road transport sector, since both sectors can be a driving force and a strong appeal for the growth of other sectors. Keywords: Power Distribution, Degree of Sensitivity, Multiplier Product Matrix, Input-output Analysis

KLASIFIKASI SEKTOR INDUSTRI KOTA BANDUNG BERDASARKAN METODE KESEBANDINGAN MODEL INPUT OUTPUT Yanti, Teti Sofia
EKSPANSI Vol 9, No 2 (2017)
Publisher : Politeknik Negeri Bandung

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Abstract: The preparation of input output tables aims to present a picture of the interrelationships and interconnections among sector units in the economy as a whole, so that the input output model is a complete and comprehensive analysis tool. For the purposes of planning and evaluating the overall development outcomes of both national and smaller scale (district / city level), the regional development planning approach model can use an input-output analysis model. Through the analysis of the location quention can be seen the diversity of the economic base of a regions society. Against the areas analyzed can be classified sectors that are able to compete in their own territory or that can compete with other regions. Based on the analysis of 40 economic sectors in Bandung, as many as 16 sectors able to compete with other regions, and the rest can only compete in the area of Bandung.Keywords: Output Input Model, Location Quotient, Industry Classification, Output, Labor

Sosialisasi Pelestarian Lingkungan Dan Kegunaan Pohon Enau (Arenga Pinnata) Sebagai Upaya Mewujudkan Ekowisata Desa Dayeuhkolot Kabupaten Subang Jawa Barat Lisnur Wachidah; Teti Sofia Yanti; Yani Krishnamurti; Eti Kurniati; Nety kurniaty; Alfiari Firdaus; Andi Setia Nugraha
TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Vol 1, No 2 (2021): Agustus
Publisher : UNIVERSITAS MUHAMMADIYAH MATARAM

Tujuan kegiatan Pengabdian Kepada Masyarakat yang kami lakukan ialah untuk meningkatkan wawasan masyarakat Desa Dayeuhkolot kabupaten Subang Jawa Barat menjadi desa Ekowisata, sehingga ada peningkatan pendapatan daerah serta meningkatkan kesejahteraan masyarakat. Di desa Dayeuhkolot, musibah banjir dan tanah longsor adalah kejadian yang terjadi pada musim hujan. Untuk mengatasi masalah tersebut, maka langkah awal dari kegiatan pengabdian yang kami lakukan adalah melakukan kegiatan tentang pelestarian lingkungan dan kegunaan pohon Enau (Arenga Pinnata). Metode yang kami lakukan adalah dengan sosialisasi, penyuluhan/edukasi tentang lingkungan dan keguanaan dari pohon enau. Untuk mengetahui efektifitas peningkatan pengetahuan sosialisasi dan penyuluhan kami melakukan pretest dan postest, hasil dari pengujian dengan menggunakan statistik uji t dan taraf nyata (α) 5% dapat disimpulkan bahwa sosialisasi dan penyuluhan efektif meningkatkan pengetahuan masyarakat desa Dayeuhkolot.

ANALISIS PERUBAHAN SRUKTUR EKONOMI KOTA BANDUNG MELALUI MODEL INPUT OUTPUT Teti Sofia Yanti; Siti Sunendiari
Ekspansi: Jurnal Ekonomi, Keuangan, Perbankan, dan Akuntansi Vol 8 No 2 (2016)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ekspansi.v8i2.113

Abstract: Implementation of the development done in a particular region is basically a series of implementation process of development planning. Development of Bandung as an integral part of regional and national development is basically an integrative process both at the level of planning, implementation and control on an ongoing basis in order to realize the welfare of society. For the purposes of planning and evaluation of the outcomes of development that is comprehensive both national and regional scale, a model for regional development planning approach can implement the model input output analysis. The use of Multiplier Product Matrix (MPM) to the Table Input Output in 2003 and 2008 illustrate economic structure of the city of Bandung has experienced a change. In 2008, the trade sector has grown very conspicuous compared with other sectors. Trade and road transport sector has increased significantly. Thus the development priorities and investment Bandung should be directed at trade and road transport sector, since both sectors can be a driving force and a strong appeal for the growth of other sectors. Keywords: Power Distribution, Degree of Sensitivity, Multiplier Product Matrix, Input-output Analysis

KLASIFIKASI SEKTOR INDUSTRI KOTA BANDUNG BERDASARKAN METODE KESEBANDINGAN MODEL INPUT OUTPUT Teti Sofia Yanti
Ekspansi: Jurnal Ekonomi, Keuangan, Perbankan, dan Akuntansi Vol 9 No 2 (2017)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ekspansi.v9i2.920

Abstract: The preparation of input output tables aims to present a picture of the interrelationships and interconnections among sector units in the economy as a whole, so that the input output model is a complete and comprehensive analysis tool. For the purposes of planning and evaluating the overall development outcomes of both national and smaller scale (district / city level), the regional development planning approach model can use an input-output analysis model. Through the analysis of the location quention can be seen the diversity of the economic base of a region's society. Against the areas analyzed can be classified sectors that are able to compete in their own territory or that can compete with other regions. Based on the analysis of 40 economic sectors in Bandung, as many as 16 sectors able to compete with other regions, and the rest can only compete in the area of Bandung.Keywords: Output Input Model, Location Quotient, Industry Classification, Output, Labor

ROLE OF LIQUIDITY AND PROFITABILITY OF SHARIA BANK ON INDONESIAN ECONOMIC GROWTH Iwan Setiawan; Teti Sofia Yanti
AMWALUNA (Jurnal Ekonomi dan Keuangan Syariah) Vol 5, No 2 (2021)
Publisher : Univeristas Islam Bandung

This research aims to find out the factors that determine liquidity and profitability as well as the contribution of Sharia banking to the economic growth in Indonesia. The study used quarterly data for the period 2009-2019, a multiple regression model with the Ordinary Least Square (OLS) analysis method. The results revealed that capital, financing and third party funds are factors that determine the liquidity of Sharia banking. Sharia banking profitability is influenced by capital and inflation. The role of Sharia banking on economic growth occurs through financing activities, large capital and utilization of Sharia monetary policy instruments. Efforts to control liquidity at optimal levels can be done by taking into account the capital factors held by Sharia banking. Efforts to achieve maximum value of profitability can be implemented by benefiting price stability in the macroeconomic. Efforts to boost economic growth are carried out by utilizing rising prices and limiting the profit value of Sharia monetary policy instruments. Moreover, Sharia banking is able to increase the share of financing channeled.

Pembiayaan UMKM Bank Syariah dan Stabilitas Moneter di Indonesia pasca Pandemic Covid-19 Iwan Setiawan; Fifi Afiyanti; Dadang Hermawan; Teti Sofia Yanti
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 10 No 2 (2022)
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v10i2.2567

ABSTRAK Usaha Mikro, Kecil dan Menengah (UMKM) merupakan sektor andalan bagi peningkatan kegiatan ekonomi dan kesejahteraan masyarakat bawah. Bank syariah terlibat langsung dalam pengembangan UMKM melalui pembiayaan, diharapkan memberikan kontribusi bagi pelaku usaha dan masyarakat yang terlibat langsung dengan kegiatan UMKM. Pembiayaan UMKM merupakan program nasional yang berpotensi memberikan kontribusi bagi perekonomian secara makro. UMKM merupakan sektor potensial terkait dengan aktivitas ekonomi riil yang banyak melibatkan banyak pelaku dan peningkatan jumlah produksi yang dihasilkan. Kontribusi aktivitas usaha dan pembiayaan UMKM bisa menjaga keseimbangan permintaan pasar. Kelangsungan usaha dapat terjaga, kewajiban pelaku UMKM pada perbankan syariah dapat dipenuhi, aktivitas perekonomian dan stabilitas moneter (inflasi) dapat terkendali. Jumlah dan kualitas pembiayaan UMKM belum optimal, penelitian ini akan mengkaji peran pembiayaan UMKM terhadap kinerja bank syariah dan stabilitas moneter. Hasil penelitian ini mengungkapkan bahwa pembiayaan UMKM memberikan peran besar terhadap peningkatan kinerja keuangan bank syariah dan peningkatan laju inflasi di Indonesia. Peningkatan kinerja keuangan bank syariah dan stabilitas moneter sangat penting untuk terciptanya iklim usaha yang kondusif bagi pelaku UMKM. ABSTRACT Micro, Small and Medium Enterprises (MSMEs) are the mainstay sector for increasing economic activity and the welfare of the lower class. Its role is important for business actors, the community and all supporting sectors. MSME financing is a national program that has the potential to contribute to the macro economy. MSME is a potential sector related to real economic activity that involves many actors and increases the amount of production produced. The contribution of business activities and MSME financing can maintain a balance in market demand. Business continuity can be maintained, the obligations of MSME actors in Islamic banking can be fulfilled, economic activity and monetary stability (inflation) can be controlled. The amount and quality of MSME financing is not optimal, this study will examine the role of MSME financing on the performance of Islamic banks and monetary stability. The results of this study reveal that MSME financing plays a major role in improving the financial performance of Islamic banks and increasing the inflation rate in Indonesia. Improving the financial performance of Islamic banks and monetary stability is very important to create a conducive business climate for MSME actors.

Regresi Poisson Invers Gaussian (PIG) untuk Pemodelan Jumlah Kasus Pneumonia pada Balita di Provinsi Jawa Tengah Tahun 2019 Mey Damayanti CR; Teti Sofia Yanti
Jurnal Riset Statistika Volume 1, No. 2, Desember 2021, Jurnal Riset Statistika (JRS)
Publisher : UPT Publikasi Ilmiah Unisba

Abstract. Poisson regression is a non-linear regression model used on non-negative count or discrete data. Poisson regression is included in the Generalized Linear Model (GLM). In Poisson regression there is an assumption that must be met, that is equidispersion where the value of the variance in the response variable (Y) must be the same as the average value. If in Poisson regression modeling there is an overdispersion or underdispersion and it is ignored, the test will be less accurate because the standard error value will be underestimated. Poisson Inverse Gaussian Regression Model (PIG) can overcome overdispersion data. The Poisson Inverse Gaussian (PIG) distribution is a mixed Poisson distribution. PIG regression is used to model the count data which has a high slope and skews to the right. Maximum likelihood method was used to estimate the parameters in the PIG regression model. Pneumonia is an acute infection that causes inflammation of the lung tissue. The case of pneumonia in children under five is one form of discrete data. The results of the PIG regression model were compared based on the Akaike Information Criterion (AIC) to obtain the best model. From the results of hypothesis testing, it was concluded that the percentage of children under five who had received measles immunization and the percentage of children under five who had received DPT immunization had a significant effect on the of pneumonia cases in children under five. By using the AIC value, the Poisson Inverse Gaussian (PIG) regression model is obtained, that is: . Abstrak. Regresi poisson merupakan model regresi non-linear yang digunakan pada data cacah atau diskrit non-negatif. Regresi Poisson termasuk kedalam Generalized Linear Model (GLM). Pada regresi Poisson terdapat asumsi yang harus dipenuhi yaitu equidispersi dimana nilai variansi pada variabel respon (Y) harus sama dengan nilai rata-ratanya. Apabila dalam pemodelan regresi Poisson terjadi kasus overdispersi atau underdispersi dan hal tersebut diabaikan maka pengujian akan menjadi kurang akurat karena nilai standard error akan menjadi underestimate. Model Regresi Poisson Invers Gaussian (PIG) dapat mengatasi data overdispersi. Distribusi Poisson Invers Gaussian (PIG) merupakan mixed poisson distribution. Regresi PIG digunakan untuk memodelkan data cacah yang memiliki kemiringan yang tinggi dan menceng ke kanan. Metode maximum likelihood digunakan untuk menaksir parameter pada model regresi PIG.. Pneumonia merupakan infeksi akut yang menyebabkan peradangan pada jaringan paru-paru. Kasus pneumonia pada balita merupakan salah satu bentuk dari data diskrit. Hasil model regresi PIG dibandingkan berdasarkan Akaike Information Criterion (AIC) untuk memperoleh model terbaik. Dari hasil pengujian hipotesis diperoleh kesimpulan bahwa persentase balita yang pernah mendapatkan imunisasi campak dan persentase balita yang pernah mendapatkan imunisasi DPT berpengaruh signifikan terhadap jumlah kasus pneumonia pada balita. Dengan memperhatikan nilai AIC didapatkan model regresi Poisson Invers Gaussian (PIG) yaitu: .

Analisis Input Output Kabupaten Bandung Berdasarkan Tabel Input Output Jawa Barat Adeliya Sanya Lenita; Teti Sofia Yanti
Bandung Conference Series: Statistics Vol. 2 No. 2 (2022): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Abstract. Input-output analysis is an analysis based on the results of the economy in a region by looking at the interrelationships between economic sectors in the region as a whole. Bandung Regency is one of the regions that has positive economic growth. In this study, changes in the structure of the economy will also look at which sectors are the priority in economic development in Bandung Regency using input-output analysis. There are 3 analysis that the author uses in this thesis, namely location quotient, multiplier analysis, and shift share analysis. The results obtained are 6 basic sectors, namely the Mining and Quarrying sector; Processing Industry sector; Real Estate; Company Services; Education Services; Health Services and Social Activities. There are 14 relatively more advanced sectors in Bandung Regency when compared to the same 14 sectors in West Java province. Abstrak. Analisis input-output merupakan analisis yang didasarkan pada hasil perekonomian di suatu wilayah dengan melihat keterkaitan antar sektor ekonomi di wilayah tersebut secara keseluruhan. Kabupaten Bandung merupakan salah satu wilayah yang memiliki pertumbuhan ekonomi yang positif. Dalam penelitian ini akan dilihat perubahan struktur perekonomian juga melihat sektor mana yang menjadi prioritas dalam pembangunan ekonomi di Kabupaten Bandung menggunakan Analisis input-output. Ada 3 analisis yang penulis gunakan dalam skripsi ini yaitu location quotient, analisis angka pengganda, dan analisis shift share. Didapatkan hasil 6 sektor basis yaitu sektor Pertambangan dan Penggalian; sektor Industri Pengolahan; Real Estate; Jasa Perusahaan; Jasa Pendidikan; Jasa Kesehatan dan Kegiatan Sosial. Terdapat 14 sektor yang relatif lebih maju di Kabupaten Bandung jika dibandingkan dengan 14 sektor yang sama di provinsi Jawa Barat.

Perbandingan Metode Fuzzy Time Series Markov Chain dan Fuzzy Time Series Chen Average Based untuk Peramalan Volume Impor Migas. Agan; Teti Sofia Yanti
Bandung Conference Series: Statistics Vol. 2 No. 2 (2022): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Abstract. Forecasting is the process of estimate about something happening in the future based on empirical data, while a time series is an analysis that considers the influence of time in order. This research discusses forecasting using two Time Series methods, namely Fuzzy Time Series Markov Chain and Fuzzy Time Series Chen Average Based. These two methods are developments of the Fuzzy Time Series using the basic fuzzy principle first introduced by Prof. Lotfi A Zadeh, then developed by Song and Chissom. These two methods are developments of the Fuzzy Time Series using the basic fuzzy principle first introduced by Prof. Lotfi A Zadeh, then developed by Song and Chissom. Forecasting using the Fuzzy Time Series is a technique that captures data patterns from the past and then used to project or predict the future by looking at fuzzy relationships or relationships formed by determining logical relationships from data involving fuzzy relationships from each partition of the universal set. In this research, we will compare the FTS Markov Chain and FTS Chen Average Based methods by looking at the results of the Mean Absolute Percentage Error (MAPE) calculation to measure which method has the best accuracy in the volume of oil and gas imports. The results of mape calculations obtained the Fuzzy Time Series Markov Chain method more accurately in translating the volume of oil and gas imports in Indonesia for 2022. Abstrak. Peramalan adalah proses perkiraan tentang sesuatu yang terjadi pada waktu yang akan datang berdasarkan data empiris, sedangkan times series adalah analisis yang mempertimbangkan pengaruh waktu secara berurutan. Penelitian ini membahas mengenai peramalan dengan menggunakan dua metode Time Series yaitu Fuzzy Time Series Markov Chain dan Fuzzy Time Series Chen Average Based. Dua metode tersebut merupakan hasil pengembangan dari Fuzzy Time Series menggunakan prinsip fuzzy dasar yang pertama kali diperkenalkan oleh Prof. Lofti A Zadeh, kemudian dikembangkan oleh Song dan Chissom. Peramalan menggunakan Fuzzy Time Series merupakan teknik yang menangkap pola data dari masa lalu kemudian digunakan untuk memproyeksikan atau meramal masa depan dengan melihat dari relasi atau hubungan fuzzy yang dibentuk dengan menentukan hubungan logika dari data yang melibatkan hubungan fuzzy dari tiap partisi himpunan universal. Pada penelitian ini akan membandingkan anatara metode FTS Markov Chain dan FTS Chen Average Based dengan meilhat hasil perhitungan Mean Absolute Percentage Error (MAPE) untuk mengukur metode mana yang memiliki akurasi terbaik dalam volume impor migas. Hasil dari perhitungan MAPE diperoleh metode Fuzzy Time Series Markov Chain lebih akurat dalam meramalkan nilai volume impor minyak dan gas tahun 2022.

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