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All Journal International Journal of Informatics, Economics, Management and Science JITAA : Journal Of International Taxation, Accounting And Auditing
Andini, Anggun
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences

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PENGARUH INDEKS PEMBANGUNAN MANUSIA, TINGKAT PENGANGGURAN TERBUKA, PDRB, DAN PARTISIPASI ANGKATAN KERJA TERHADAP KEMISKINAN DI JAWA TENGAH TAHUN 2017-2022 Andini, Anggun; Az Zakiyyah, Nurul Azizah
JITAA : Journal Of International Taxation, Accounting And Auditing Vol 3 No 1 (2024): JITAA : Journal Of International Taxation, Accounting And Auditing
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM Azramedia indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/jitaa.v3i1.1169

Abstract

Poverty, which is still a challenge in Central Java, has a worrying impact on various aspects of people's lives. This research aims to determine the influence of the Human Development Index (HDI), Open Unemployment Rate (TPT), Gross Regional Domestic Product (GRDP), and Labor Force Participation (PAK) on the poverty level in each district/city. in Central Java. The research method used is the use of panel data (time series and cross section) in 35 districts/cities in Central Java during the 2017-2022 period, by applying the Random Effect Model (REM). Research findings show that the Human Development Index (HDI) has a significant negative impact on poverty levels. On the other hand, the Open Unemployment Rate (TPT) has a positive and significant effect on the poverty level, while the Gross Regional Domestic Product (GRDP) makes a negative and significant contribution. However, Labor Force Participation (PAK) has not been proven to have a significant influence on poverty levels in districts/cities in Central Java.
PENGARUH INDEKS PEMBANGUNAN MANUSIA, TINGKAT PENGANGGURAN TERBUKA, PDRB, DAN PARTISIPASI ANGKATAN KERJA TERHADAP KEMISKINAN DI JAWA TENGAH TAHUN 2017-2022 Andini, Anggun; Az Zakiyyah, Nurul Azizah
JITAA : Journal Of International Taxation, Accounting And Auditing Vol 3 No 1 (2024): JITAA : Journal Of International Taxation, Accounting And Auditing
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/jitaa.v3i1.1169

Abstract

Poverty, which is still a challenge in Central Java, has a worrying impact on various aspects of people's lives. This research aims to determine the influence of the Human Development Index (HDI), Open Unemployment Rate (TPT), Gross Regional Domestic Product (GRDP), and Labor Force Participation (PAK) on the poverty level in each district/city. in Central Java. The research method used is the use of panel data (time series and cross section) in 35 districts/cities in Central Java during the 2017-2022 period, by applying the Random Effect Model (REM). Research findings show that the Human Development Index (HDI) has a significant negative impact on poverty levels. On the other hand, the Open Unemployment Rate (TPT) has a positive and significant effect on the poverty level, while the Gross Regional Domestic Product (GRDP) makes a negative and significant contribution. However, Labor Force Participation (PAK) has not been proven to have a significant influence on poverty levels in districts/cities in Central Java.
Diagnosis of Kidney Disease Using Fuzzy Logic Method Andini, Anggun; Hara Pardede, Akim Manaor; Sihombing, Marto
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1234

Abstract

Kidney disease is a condition in which the kidneys cannot function properly. Kidney disease is one of the diseases that can cause death and disability. Ignorance and lack of information about kidney disease causes the death rate of people with kidney disease to increase every year. Limited special kidney facilities in Indonesia are one of the factors slowing treatment. To distinguish what type of kidney disease sufferers of symptoms need to bring in an expert or specialist in internal medicine for a consultation. However, there are some problems with an expert such as an expert who is not always in place, the cost of consulting an expert is quite expensive, and still limited. Unhealthy lifestyle is also a factor in the increase in kidney disease sufferers. With these problems it can be concluded that it is necessary to create a system that can diagnose diseases without having to consult an expert with an expert system. An expert system is a system that can store expert information in a computer. In the Fuzzy Logic method, the existing data will be inferred by creating a rule in the form of IF_THEN and using the AND operation, then the minimum value (MIN) of several existing variables will be selected. From the results of trials conducted in this study it was found that based on the symptoms that occur the patient suffers from Acute Renal Failure.
Co-Authors Az zakiyyah, Nurul Azizah Pardede, Akim Manaor Hara Sihombing, Marto