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All Journal Pharmaciana: Jurnal Kefarmasian EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis EKSPANSI Amwaluna Jurnal Ekonomi dan Keuangan Syariah TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Indonesian Journal of Economics and Management Jurnal Riset Statistika Bandung Conference Series: Statistics
Teti Sofia Yanti
Prodi Statistika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Islam Bandung, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Mathematics Medicine & Pharmacology Social Sciences Other

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Diagram Kendali Poisson Progressive Mean (PPM) dalam Pengendalian Kualitas Produksi Kemasan Minyak Goreng di PT. XY Wildan Nur Ramadlan; Teti Sofia Yanti
Bandung Conference Series: Statistics Vol. 3 No. 2 (2023): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v3i2.9390

Abstract

Abstract. In the current modern era, the need for quality products has become an important criterion for consumers when purchasing a product, as the increasing competition in a product market demands companies to produce high-quality products. Quality control is necessary in the production process. Process capability is a quality control technique aimed at estimating the capability of a production process. Statistical quality control can be achieved using control charts, which are diagrams that represent observations of a production process over a specific period of time with Upper Control Limits (UCL) and Lower Control Limits (LCL) that define the pattern of dispersion. Control charts are used to quickly identify products experiencing defects. Control charts are divided into two types: attribute and variable. Attribute control charts are used for discrete data types, such as the number of defects in a product. In real-life situations, there are many cases where monitoring statistical control processes involves attribute data derived from quality characteristics that cannot be measured numerically or quantitatively. To address this type of data, there is a method used for monitoring Poisson processes called the Progressive Mean Attribute Poisson Control Chart (PPM). This research was conducted to examine how much and how quickly the detection of defective products occurred in the production of packaged cooking oil at PT. XY in 2017 using the PPM control chart. After analyzing the PPM control chart, it was concluded that the performance of this control chart was good because it could detect a significant number of data points that were out of control or in an unstable state. Abstrak. Di era modern saat ini, kebutuhan akan produk yang berkualitas menjadi ukuran penting bagi konsumen dalam membeli sebuah produk, karena semakin banyaknya persaingan pada suatu produk membuat perusahaan diminta untuk menghasilkan suau produk yang berkualitas. Pengendalian kualitas perlu dilakukan dalam suatu proses produksi. Kapabilitas proses merupakan sebuah teknik pengendalian kualitas yang bertujuan untuk memperkirakan kemampuan suatu proses produksi. Pegendalian kulitas secara statistik yang dapat digunakan yaitu diagram kendali, diagram kendali merupakan suatu diagram yang menggambarkan pengamatan suatu prosess produksi dalam periode waktu tertentu dengan Batas Kendali Atas (BKA) dan Batas Kendali Bawah (BKB) yang mengatur pola penyebaran. Diagram kendali ini dilakukan dengan tujuan dapat mengidentifikasi secepat mungkin pada produk yang mengalami kerusakan. Diagram kendali dibagi menjadi dua jenis yaitu atribut dan variabel, diagram kendali atribut digunakan untuk tipe data diskrit seperti jumlah kerusakan pada suatu produk. Dalam kehidupan nyata, ada banyak situasi di mana pemantauan proses pengendalian statistik melibatkan data atribut yang berasal dari karakteristik kualitas yang tidak dapat diukur secara numerik atau kuantitatif. Untuk mengatasi jenis data tersebut, terdapat metode yang dapat digunakan untuk pemantauan proses poisson yang disebut diagram kendali atribut Poisson progressive Mean (PPM). Penilitian ini dilakukan untuk melihat seberapa cepat mendeteksi proses produk cacat pada produksi kemasan minyak goreng di PT. XY 2017. Setelah melakukan analisis pada diagram kendali PPM ini diperoleh kesimpulan bahwa kinerja pada diagram kendali ini sudah baik karena dapat mendeteksi banyaknya data yang out of control atau dalam keadaan tidak terkendali.
Penerapan Multidimensional Scaling terhadap Pengelompokkan Provinsi Berdasarkan Indikator Tujuan ke-6 SDGs Puthri Rahma Zain; Teti Sofia Yanti
Jurnal Riset Statistika Volume 2, No. 2, Desember 2022, Jurnal Riset Statistika (JRS)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrs.v2i2.1465

Abstract

Abstract. Multidimensional Scaling Metric is an analysis that shows the value of the similarity of distances between objects on a dimension in the form of a graph in the form of a spatial map that is easy to understand and more informative than other methods because the final result of MDS is visual. The data used are all provinces in Indonesia which consist of 34 provinces and the variables of the indicator of the proportion of the population that has access to adequate and sustainable drinking water sources and the proportion of the population that has access to proper and sustainable sanitation services. Water and sanitation are a fundamental part for every human being to survive and maintain his health, and therefore must also be seen as the main element in fulfilling the right to a decent standard of living so that it becomes the 6th Goal of the Sustainable Development Goals (SDGs). From the results of the discussion, 3 provincial groups have similarities between their members and differ from other groups, namely group 1, namely the group that becomes the priority to be improved to achieve the 6th goal of the SDGs (clean water and sanitation). Group 2 is the group that becomes the second priority for improvement. Group 3 is the group that is the last priority to be improved to achieve the 6th goal of the SDGs (clean water and sanitation). Abstrak. Multidimensional Scaling Metric merupakan analisis yang menunjukkan nilai kemiripan jarak antar objek pada suatu dimensi dalam bentuk grafik berupa peta spasial yang mudah dipahami dan lebih informatif dibandingkan metode lain karena hasil akhir dari MDS adalah visual. Data yang digunakan adalah seluruh provinsi di Indonesia yang terdiri dari 34 provinsi dan variabel indikator proporsi penduduk yang memiliki akses terhadap sumber air minum yang layak dan berkelanjutan dan proporsi penduduk yang memiliki akses terhadap pelayanan sanitasi yang layak dan berkelanjutan. . Air dan sanitasi merupakan bagian mendasar bagi setiap manusia untuk bertahan hidup dan menjaga kesehatannya, oleh karena itu juga harus dilihat sebagai unsur utama dalam pemenuhan hak atas taraf hidup yang layak sehingga menjadi Tujuan ke-6 Tujuan Pembangunan Berkelanjutan. (SDG). Dari hasil diskusi, 3 kelompok provinsi memiliki kesamaan antar anggotanya dan berbeda dengan kelompok lainnya yaitu kelompok 1 yaitu kelompok yang menjadi prioritas untuk ditingkatkan untuk mencapai tujuan ke-6 SDGs (air bersih dan sanitasi). Kelompok 2 merupakan kelompok yang menjadi prioritas kedua untuk perbaikan. Kelompok 3 merupakan kelompok yang menjadi prioritas terakhir untuk ditingkatkan untuk mencapai tujuan ke-6 SDGs (air bersih dan sanitasi).
Penentuan Industri Unggulan Provinsi Papua dan Daya Saingnya di Tingkat Nasional Menggunakan Metode Lagrange dan Analisis Shift-Share Putriyanto, Jasmine Salsabila; Yanti, Teti Sofia
Bandung Conference Series: Statistics Vol. 4 No. 1 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i1.10228

Abstract

Abstract. The analysis of input output is an analysis based on economic outcomes in country or region, including examining the interconnection among economic sectors in country or region as whole, where it can depicted potential economic that contribute significant. Papua Province is one of the regions experiencing positive economic growth. The research will examine changes in the economic structure and identify priority sectors in the economic development of Papua Province using input-output analysis. Two analyses are employed: multiplier analysis, and shift-share analysis. When compared to the economic growth of each sector in Papua Province with that of Indonesia, as many as 9 economic sectors in Papua Province have competitive at the national level. Abstrak. Analisis input output merupakan analisis yang didasarkan pada hasil perekonomian di suatu negara atau wilayah, diantaranya dapat melihat keterkaitan antar sektor ekonomi di suatu negara atau wilayah secara keseluruhan sehingga dapat menggambarkan potensi sektor ekonomi yang memberikan kontribusi yang besar. Provinsi Papua merupakan salah satu wilayah dengan pertumbuhan ekonomi yang mengalami peningkatan positif. Dalam penelitian ini akan dilihat perubahan struktur perekonomian dan melihat sektor mana yang menjadi prioritas dalam pembangunan ekonomi di Provinsi Papua dengan menggunakan analisis input output. Terdapat dua analisis yang penulis gunakan yaitu analisis angka pengganda dan analisis shift-share. Jika dibandingkan dengan pertumbuhan ekonomi setiap sektor yang ada di Provinsi Papua dengan di Indonesia, maka sebanyak 9 sektor ekonomi Provinsi Papua mempunyai daya saing di tingkat nasional.
Perbandingan Interval pada Fuzzy Time Series Cheng untuk Peramalan Jumlah Kasus ISPA Lathifah; Teti Sofia Yanti
Bandung Conference Series: Statistics Vol. 4 No. 2 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i2.12752

Abstract

Abstract. Forecasting for number of ARI (Acute Respiratory Infection) cases needs to be used for planning and evaluation of health decisions or policies to reach a healthy Indonesian society. Fuzzy Time Series is one of the statistical methods can be used for forecasting. Cheng's Fuzzy Time Series method develops Chen's Fuzzy Time Series model which has the disadvantage of not consider FLR (Fuzzy Logical Relationship) repetition. Therefore, Cheng's Fuzzy Time Series method assigns weights to individual fuzzy relationships and modifies the forecasting value with an adaptive model. The purpose of this study is to determine the forecasting results and accuracy level regarding the number of ARI cases at the Margahayu Raya Health Center using the Average-based and Sturges interval methods in Cheng's Fuzzy Time Series. This study uses data on the number of ARI cases from September 01, 2023 to January 30, 2024 which has the best model using the Average-based interval method with MAPE for adaptive forecasting of 12%, indicating that the forecasting results have an accuracy of 88% with a good forecasting category. Abstrak. Peramalan untuk jumlah kasus ISPA (Infeksi Saluran Pernafasan Akut) perlu dilakukan sebagai acuan dalam perencanaan dan evaluasi mengenai keputusan ataupun kebijakan kesehatan untuk mewujudkan masyarakat Indonesia yang sehat. Fuzzy Time Series adalah salah satu metode statistika yang dapat digunakan untuk peramalan. Metode Fuzzy Time Series Cheng mengembangkan model Fuzzy Time Series Chen yang memiliki kekurangan tidak mempertimbangkan pengulangan FLR (Fuzzy Logical Relationship). Sehingga dalam metode Fuzzy Time Series Cheng menetapkan bobot terhadap hubungan individu fuzzy dan memodifikasi nilai peramalan dengan model adaptif. Tujuan penelitian ini adalah untuk mengetahui hasil peramalan dan tingkat akurasi yang dihasilkan mengenai jumlah kasus ISPA di Puskesmas Margahayu Raya menggunakan metode interval Average-based dan Sturges pada Fuzzy Time Series Cheng. Penelitian ini menggunakan data jumlah kasus ISPA pada 01 September 2023 hingga 30 Januari 2024 yang menghasilkan model terbaik menggunakan metode interval Average-based dengan MAPE untuk peramalan adaptif sebesar 12% yang artinya hasil peramalan memiliki ketepatan sebesar 88% dengan kategori peramalan yang baik.
Pemodelan Produk Domestik Bruto (PDB) dengan Metode Seemingly Unrelated Regression (SUR) di Indonesia, Malaysia, Singapura, Filipina, dan Vietnam Enu Ainun Isni; Teti Sofia Yanti
Bandung Conference Series: Statistics Vol. 4 No. 2 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i2.13246

Abstract

Abstract. Seemingly Unrelated Regression (SUR) is a system consisting of two or more linear regression equations that can be used to address violations of assumptions in panel data regression, namely heteroskedasticity in the variance of residuals and the presence of correlation between residuals of different individuals, also known as contemporaneous correlation. The independent variables used are Foreign Direct Investment (FDI), inflation, and the labor force, while the dependent variable is the Gross Domestic Product (GDP) in Indonesia, Malaysia, Singapore, Philippines, and Vietnam from 2000 to 2022. In the assumption check for the best panel data regression model, the Random Effect Model (REM) with different intercepts and slopes for each country, heteroskedasticity and contemporaneous correlation were found. Therefore, an alternative method, SUR, was used. Based on the SUR model, it can be concluded that GDP in Indonesia and the Philippines is influenced by FDI and the labor force. GDP in Malaysia is only influenced by the labor force. Additionally, GDP in Singapore and Vietnam is influenced by all independent variables, namely FDI, inflation, and the labor force. The McElroy's coefficient of determination (R2) for the SUR model is 97.68%, and the coefficient of determination for REM is 96,49%. This means that, because the R2 value of the SUR model is closer to 100%, it can be said that the SUR model is better to apply than the REM. Abstrak. Seemingly Unrelated Regression (SUR) adalah sistem yang terdiri dari dua atau lebih persamaan regresi linear yang bisa digunakan untuk mengatasi pelanggaran asumsi pada regresi data panel yaitu heteroskedastisitas pada ragam residual dan terdapat korelasi antar residual pada individu yang berbeda atau yang disebut korelasi kesebayaan (contemporaneous correlation). Variabel independen yang digunakan yaitu Foreign Direct Investement (FDI), inflasi, dan angkatan kerja, serta variabel dependen yaitu Produk Domestik Bruto (PDB) di Negara Indonesia, Malaysia, Singapura, Filipina, dan Vietnam tahun 2000-2022. Dalam pemeriksaan asumsi pada model regresi data panel terbaik, yaitu Random Effect Model (REM) dengan intercept dan slope berbeda untuk setiap negara, ditemukan adanya heteroskedastisitas dan korelasi kesebayaan. Oleh karena itu, digunakan metode alternatif lain yaitu SUR. Berdasarkan model SUR, dapat disimpulkan bahwa PDB di Indonesia dan Filipina dipengaruhi oleh FDI dan angkatan kerja. PDB di Malaysia hanya dipengaruhi oleh angkatan kerja. Serta PDB di Singapura dan Vietnam dipengaruhi oleh semua variabel independen yaitu FDI, inflasi, dan angkatan kerja. Diperoleh juga koefisien determinasi (R2) McElroy’s untuk model SUR sebesar 97,68%, dan koefisien determinasi untuk REM sebesar 96,49%. Artinya karena nilai R2 dari model SUR lebih mendekati 100%, maka dapat dikatakan bahwa model SUR lebih baik untuk diterapkan daripada REM.
Identifikasi Sektor Unggulan Enam Provinsi di Pulau Jawa Melalui Analisis Input Output terhadap Tabel IRIO Fariz Andinur Aziz; Teti Sofia Yanti
Bandung Conference Series: Statistics Vol. 4 No. 2 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i2.13578

Abstract

Abstract. Input output analysis provides information on transactions of goods and services between economic sectors in a region. Due to differences in resources between regions, an Interregional Input-Output (IRIO) Table is needed to explain economic linkages between regions more comprehensively. This table is very important to understand the economic performance of various regions by looking at the linkages between sectors and regions, both in terms of backward and forward linkages. However, just knowing the linkages is not enough to develop the economy of a region. Therefore, further analysis is needed to identify leading sectors that have the potential to drive economic growth. Java Island is known as the main center of economic growth in Indonesia. This study aims to determine the inter-sectoral and regional linkages of six provinces in Java Island, and identify the leading sectors in each province using the IRIO Table. Based on the linkages in DKI Jakarta, sectors 4 (electricity and gas procurement) and 11 (corporate services) have the highest backward and forward linkages. In West Java, Central Java, and East Java, sectors 3 (manufacturing industry) and 4 (electricity and gas procurement) are the highest. In DI Yogyakarta, sectors 4 (electricity and gas procurement) and 8 (transportation and storage) are highest, and in Banten, sector 4 (electricity and gas procurement) is highest. By leading sector, sector 3 (manufacturing industry) is leading in all provinces except Banten, sector 4 (electricity and gas procurement) in all provinces, sector 8 (transportation and storage) in West Java, DI Yogyakarta, and East Java, and sector 10 (information and communication) in DI Yogyakarta and East Java. Abstrak. Analisis input output memberikan informasi tentang transaksi barang dan jasa antar sektor ekonomi di suatu wilayah. Karena perbedaan sumber daya antar wilayah, diperlukan Tabel Interregional Input-Output (IRIO) untuk menjelaskan keterkaitan ekonomi antar wilayah secara lebih komprehensif. Tabel ini sangat penting untuk memahami performa ekonomi berbagai wilayah dengan melihat keterkaitan antar sektor dan wilayah, baik dari sisi keterkaitan ke belakang (backward linkage) maupun ke depan (forward linkage). Namun, hanya mengetahui keterkaitan saja tidak cukup untuk mengembangkan perekonomian suatu wilayah. Oleh karena itu, perlu dilakukan analisis lebih lanjut untuk mengidentifikasi sektor-sektor unggulan yang berpotensi mendorong pertumbuhan ekonomi. Pulau Jawa dikenal sebagai pusat pertumbuhan ekonomi utama di Indonesia. Penelitian ini bertujuan untuk mengetahui keterkaitan antar sektor dan wilayah enam provinsi di Pulau Jawa, serta mengidentifikasi sektor unggulan di masing-masing provinsi tersebut menggunakan Tabel IRIO. Berdasarkan keterkaitan di DKI Jakarta, sektor 4 (pengadaan listrik dan gas) dan 11 (jasa perusahaan) memiliki keterkaitan ke belakang dan ke depan paling tinggi. Di Jawa Barat, Jawa Tengah, dan Jawa Timur, sektor 3 (industri pengolahan) dan 4 (pengadaan listrik dan gas) paling tinggi. Di DI Yogyakarta, sektor 4 (pengadaan listrik dan gas) dan 8 (transportasi dan pergudangan) paling tinggi, dan di Banten, sektor 4 (pengadaan listrik dan gas) paling tinggi. Berdasarkan sektor unggulan, sektor 3 (industri pengolahan) unggul di semua provinsi kecuali Banten, sektor 4 (pengadaan listrik dan gas) di semua provinsi, sektor 8 (transportasi dan pergudangan) di Jawa Barat, DI Yogyakarta, dan Jawa Timur, serta sektor 10 (informasi dan komunikasi) di DI Yogyakarta dan Jawa Timur.
Pengelompokan Kecamatan Berdasarkan Jumlah Penyandang Disabilitas di Kota Bandung pada Tahun 2021 dengan Menggunakan Metode K-Means Clustering Mila Hastuti S; Sofia Yanti, Teti
Bandung Conference Series: Statistics Vol. 4 No. 2 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i2.15001

Abstract

Abstract. People with disabilities are entitled to accessibility in various activities, which can include physical accessibility, such as facilities designed for their needs. According to the Bandung City Statistics Agency, there were 4589 people with disabilities in Bandung City in 2021. The largest groups include the physically disabled, the mentally disabled, the visually impaired, the deaf, the speech impaired, the talaras, the speech impaired, and the multiply disabled (physical and mental). Despite the large number of people with disabilities in Bandung City, the accessibility of public services is still inadequate. Interviews conducted by Dawud (2019) with people with disabilities in previous research, revealed that people with disabilities still face challenges in accessing public facilities. To address this issue, the characteristics of people with disabilities in 30 sub-districts in Bandung City will be analyzed to help the government and various other parties in prioritizing appropriate facilities. This research aims to cluster sub-districts in Bandung City based on the number of people with disabilities using the k-means clustering method. The data used is secondary data from the official page of BPS Bandung City with the types of people with disabilities studied, namely people with disabilities, deafness, blindness, hearing impairment, speech impairment, talaras, speech impairment, and multiple disabilities (physical and mental). Based on the research results using the k-means clustering method, 2 clusters have been formed with cluster 1 consisting of 25 subdistricts and cluster 2 consisting of 5 sub-districts. Abstrak. Penyandang disabilitas berhak mendapatkan aksesibilitas dalam berbagai kegiatan, yang dapat mencakup aksesibilitas fisik, seperti fasilitas yang dirancang untuk kebutuhan mereka. Menurut Badan Pusat Statistik Kota Bandung, terdapat 4589 penyandang disabilitas di Kota Bandung pada tahun 2021. Kelompok terbesar meliputi penyandang tunadaksa, tunagrahita, tunanetra, tunarungu, tunawicara, tunalaras, tunarungu wicara, dan tunaganda (fisik dan mental). Meskipun jumlah penyandang disabilitas di Kota Bandung cukup banyak, aksesibilitas layanan publik masih belum memadai. Wawancara yang dilakukan oleh Dawud (2019) bersama penyandang disabilitas pada penelitian sebelumnya, mengungkapkan bahwa penyandang disabilitas masih menghadapi tantangan dalam mengakses fasilitas publik. Untuk mengatasi masalah ini, karakteristik penyandang disabilitas di 30 kecamatan di Kota Bandung akan dianalisis untuk membantu pemerintah dan berbagai pihak lainnya dalam memprioritaskan fasilitas yang sesuai. Penelitian ini bertujuan untuk mengelompokkan kecamatan di Kota Bandung berdasarkan jumlah penyandang disabilitas dengan menggunakan metode k-means clustering. Data yang digunakan merupakan data sekunder dari halaman resmi BPS Kota Bandung dengan jenis penyandang disabilitas yang diteliti, yaitu penyandang tunadaksa, tunagrahita, tunanetra, tunarungu, tunawicara, tunalaras, tunarungu-wicara, dan tunaganda (fisik dan mental). Berdasarkan hasil penelitian dengan menggunakan metode k-means clustering, telah terbentuk 2 cluster dengan cluster 1 terdiri dari 25 kecamatan dan cluster 2 terdiri dari 5 kecamatan
Analisis Regresi Tobit pada Jumlah Kasus Kematian HIV AIDS di Provinsi Jawa Barat Fiore Rosie Kestana; Teti Sofia Yanti
Bandung Conference Series: Statistics Vol. 4 No. 2 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i2.15262

Abstract

Abstract. There are several types of regression analysis, one of which is linear regression. In fact, in the field there are many cases where the dependent variable doesn’t complete information or is called cencored data. Regression takes account censored data on the dependent variable is tobit regression. Parameter estimation in tobit regression uses the Maximum Likelihood Estimation method. This research takes data related to cases of death due to HIV/AIDS. In June 2022, West Java in third place with the highest of HIV/AIDS cases in Indonesia. The number of cases of AIDS death in Indoneisa, one of which in West Java, the probability of this occurring is 0 to not death. This data is called censored data. This research aims was to look at the factors that influence the number of AIDS death in West Java with the the variables X of the number of cases of HIV positive blood donor X1 , the number of cases of syphilis X2 and the number of condom X3 using a significance level of 5%. Based on the results, it is stated that for every people 10 people increasing the number of cases of syphilis, the number of deaths due to AIDS will increase by 5 people and every time the number of condum uses increases by 10^1000, the number of deaths due to AIDS will decrease by 1,2 cases. The variables that influence the number of deaths due to AIDS are the number of cases of syphilis X2 of the number of condom Log X3. Abstrak. Terdapat beberapa macam analisis regresi salah satunya yaitu analisis regresi linier. Faktanya, dilapangan banyak ditemukan kasus dimana variabel terikatnya tidak memberikan informasi secara lengkap atau disebut data tersensor. Regresi yang memperhatikan data tersensor pada variabel terikatnya yaitu analisis regresi tobit. Metode ini digunakan untuk mengatasi ketika variabel terikatnya bersifat terbatas. Pendugaan parameter pada regresi tobit yaitu menggunakan metode Maksimum Likelihood Estimation. Penelitian ini mengambil data terkait kasus kematian oleh HIV/AIDS. Provinsi Jawa Barat sampai dengan Juni 2022 terdapat pada urutan ketiga dengan jumlah kasus HIV/AIDS terbanyak di Indonesia. Virus HIV/AIDS merupakan salah satu penyakit dengan peringkat atas dalam menyebabkan kematian. Dalam jumlah kasus kematian AIDS di Indonesia salah satunya di Jawa Barat kemungkinan yang terjadi adalah 0 sampai tak hingga kematian. Struktur data seperti ini disebut data tersensor. Pada penelitian ini bertujuan untuk melihat faktor-faktor yang mempengaruhi pada jumlah kematian AIDS di Jawa Barat dengan variabel X nya terdiri dari jumlah kasus donor darah positif HIV X , jumlah kasus penyakit sifilis X2 dan jumlah penggunaan kondom X3 dengan menggunakan taraf nyata 5%. Berdasarkan hasil penelitian menyatakan bahwa setiap penambahan jumlah kasus penyakit sifilis 10 orang maka jumlah kematian akibat AIDS akan meningkat sebesar 5 orang dan setiap jumlah penggunaan kondom bertambah 10^1000 maka jumlah kasus kematian akibat AIDS akan menurun sebesar 1,2 kasus. Selain itu, berdasarkan hasil penelitian ini bahwa variabel yang mempengaruhi jumlah kematian akibat AIDS adalah jumlah kasus penyakit sifilis X2 dan logaritma jumlah penggunaan kondom Log X3.
MSME Financing in Islamic Banks and Poverty in Indonesia Setiawan, Iwan; Tripuspitorini, Fifi Afiyanti; Ruhana, Nafisah; Yanti, Teti Sofia
Indonesian Journal of Economics and Management Vol. 4 No. 1 (2023): Indonesian Journal of Economics and Management (November 2023)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijem.v4i1.5054

Abstract

Poverty is a socio-economic problem faced by all nations. The poverty rate has decreased, but the number and percentage are still quite high. One solution to reduce poverty is to increase the income of Micro, Small and Medium Enterprises (MSMEs). MSMEs involve the majority of business actors and the lower middle class, the success of the MSME sector will reduce poverty. The main obstacle in the development of MSMEs is the lack of funds and limited access to funding from financial institutions. Islamic banks play a role in overcoming poverty through financing activities that are directly provided to MSMEs. Sharia Bank financing for MSMEs is still limited, trending downwards and does not meet the minimum requirements of Bank Indonesia. This research was conducted to examine the role of sharia bank MSME financing for poverty in Indonesia. This study uses qualitative and quantitative methods using a simultaneous regression analysis model, so that the causes and interrelationships between variables can be stated clearly. The results of this study reveal that Islamic bank financing for MSMEs plays a role in poverty alleviation indirectly through economic growth. Poverty is directly affected by the capital and quality of financing in Islamic banks. The central bank's interest rate policy and inequality in income distribution have contributed to poverty in Indonesia. Efforts to reduce poverty can be carried out by increasing the quality of financing in the MSME sector, encouraging economic growth, setting optimal policy interest rates and reducing inequality in income distribution in society.
The Role of Islamic Bank MSME Financing for Job Creation in Indonesia Setiawan, Iwan; Tripuspitorini, Fifi Afiyanti; Ruhana, Nafisah; Yanti, Teti Sofia
Indonesian Journal of Economics and Management Vol. 4 No. 3 (2024): Indonesian Journal of Economics and Management (July 2024)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijem.v4i3.6175

Abstract

Population growth has an impact on increasing unemployment due to the limited job opportunities available in Indonesia. The solution to overcoming unemployment is carried out through the development of labor-intensive economic sectors. The micro, small and medium enterprise (MSME) sector has the potential to create jobs. However, the development of MSMEs is hampered by limited sources of funds that can be accessed from financial institutions (banks). The Islamic bank financing system is in accordance with the characteristics of MSMEs, has the potential to encourage increased business and employment for MSMEs. This research aims to examine the impact of Islamic bank financing for MSMEs on job creation in Indonesia. The research was carried out using a multiple regression analysis model with the Ordinary Least Square (OLS) estimation method, using time series data for the monthly period 2016-2023. The research results show that Islamic bank financing in the MSME sector has a significant positive effect on job creation. Every increase in sharia bank financing in the MSME sector provides a direct contribution to job creation. Job creation is also significantly influenced by third party funds from Islamic banks, monetary policy, minimum wage policy, unemployment and economic growth. Increases in third party funds, minimum wages and economic growth have a significant effect on job creation. Increasing monetary policy interest rates and unemployment result in a decrease in job creation.
Co-Authors 10060118082, Rizky Fauzi Adeliya Sanya Lenita Agan Aida Nurul Islah Alfiari Firdaus Andi Setia Nugraha Anneke Iswani Ahmad Annisa Lisa Nurjanah Ari Budi Utomo Dadang Hermawan Diana Erviana Diana Erviana Dwi Syah Fitra Ramadhan Enu Ainun Isni Erin Heristian Eti Kurniati Fachrul Fauzi Fariz Andinur Aziz Fifi Afiyanti Fiore Rosie Kestana Fitrianti Darusman Fuji Astuti Gessya Saefani Hilda Aprilia, Hilda Icih Sukarsih Iwan Setiawan Iwan Setiawan Lathifah Lisnur Wachidah Mega Anisa Rachim Mey Damayanti CR Mila Hastuti S Muhammad Farhan Praja Utama Najwa Anisa Fitri Nety Kurniaty Nur Indah Lutfira Nusar Hajarisman Onoy Rohaeni Puthri Rahma Zain Putriyanto, Jasmine Salsabila Rafif Naufal Oktiardi Raihani Himati Kamilah Ratih Nurfitri Ruhana, Nafisah Salma, Ghina Salsabila, Felisha Sintia Arjabi Oktavianti Siti Sunendiari Sukma Wiyasih Izumi Tasya Apriany Hamba Taufik Muhammad Fakih Tripuspitorini, Fifi Afiyanti Vivi Suci Puspita Wildan Nur Ramadlan Wulan Milanka Lestari Yani Krishnamurti Yayat Karyana