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Journal of applied statistics and data mining
Published by Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang
ISSN : ""     EISSN : 27210332     DOI : -
Core Subject : Economy, Science, Social,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences
Journal of applied statistics and data mining provide open access, which in principle makes research open and freely available to the public so that it becomes a means of global knowledge exchange. Published twice a year, in June and December. This journal publishes scientific articles as research results, case studies, or literature reviews on various aspects of statistics, data mining and its applications. Such as Computing, Time Series, Multivariate, Biostatistics, Survival Analysis, Econometrics, Spatial Analysis, Actuarial, Quality Control, Bayesian Analysis, Development Research in Statistics, Natural Language Processing, Applied Mathematics, and Applied Statistics. The editor does not rule out other topics in statistics and data mining.
Arjuna Subject : Matematika - Matematika Komputer
Articles 5 Documents
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Search results for , issue "Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining" : 5 Documents clear
PENERAPAN METODE MOVING AVARAGE PADA PERAMALAN PERKARA ISBAT NIKAH Atria; Wiwit Purwa Nurmayanti; Muhammad Gazali; Ristu Haiban Hirzi
Journal of Applied Statistics and Data Mining Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i2.7

Abstract

Marriage isbat is a determination, confirmation, and approval isbat marriage is a ratification of a marriage that has been heldaccording to the Islamic religion, but not recorded by KUA or allowed PPN. There are many East Lombok people who do nothave a marriage certificate, including those aged 43-70 years because of conditions that were not possible at the time, andunderage couples. This study uses secondary data in the form of marriage isbat data in the Selong Religious Court in 2019. Themethod used to analyze is the moving average method. The purpose of this study is to find out the most appropriate method amongforecasting or moving average with different orders, namely orders 3 and 5, and want to find out how much isbat maritalforecasting with the best method. The moving average results show that a good forecasting is find in the moving average of order5 with the number of isbat cases that entered Selong Religious Court is 286 cases.
CLUSTER WISE REGRESSION UNTUK IDENTIFIKASI HUBUNGAN IPM DENGAN APBD KABUPATEN/KOTA DI PROVINSI NTB Siti Arni Wulandya; Wiwit Purwa Nurmayanti; Animar
Journal of Applied Statistics and Data Mining Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i2.8

Abstract

UNDP developed the Human Development Index (HDI) which is a measurement of the success of a region's development. HDIis an indicator that explains the ability of the population to be able to access development results in obtaining income, health,education and so on. Local governments carry out various strategies to improve the quality of human resources in their respectiveregions. One of the efforts of the local government to improve the quality of society in these various aspects is by allocating a bigenough funds in the regional expenditure budget (APBD). This study aims to identify the relationship between APBD and HDI indistricts and cities in the Nusa Tenggara Barat province. Using regression analysis, the relationship between the APBD and HDIof districts and cities in Nusa Tenggara Barat Province shows a negative correlation. On the other hand, different conclusionsare obtained when using the Cluster Wise Regression method. This method first classifies districts and cities based on their HDIvalues, then regression analysis is carried out separately for each existing group. Using this method, the relationship betweenAPBD and HDI of districts and cities in Nusa Tenggara Barat province shows a positive correlation.
ARIMA MODELS UNTUK MEMPREDIKSI TINGKAT PERCERAIAN DI LOMBOK TIMUR Lina Septia Hultafiana Maziyyah; Wiwit Purwa Nurmayanti; Muhammad Malthuf
Journal of Applied Statistics and Data Mining Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i2.9

Abstract

Selong Religious Court Office is one office whose duties take care of various cases, one of which is divorce cases. Divorce inEast Lombok changes every year. Based on data from Selong Religious Court, divorce annually in East Lombok increased. Tofind out whether divorce matters in two the coming year will experience an increase as well or rather has decreased then ananalysis of time series (forecasting) with using the ARIMA (Autoregressive Integrated Moving Average) method. The aim is tofind out which time series model is right for forecasting divorce rates and also to find out how many results from divorceforecasting in East Lombok Regency 2020-2021. Based on the analysis results got that the best model is ARIMA (3,1,3) with anMSE value of 220.6. From the forecasting results it is known that the total number of divorce predictions for 2020 are January(124), February (984), March (100), April (123), May (96), June (104), July (122), August (93), September (107), October (120),November (92), December (111). Whereas forecasting for 2021 is January (118), February (91) March (114), April (115), May(91), June (117), July (112), August (91), September (119) , October (108), November (93), December (121).
ANALISIS CLUSTER KECAMATAN DI LOMBOK TIMUR BERDASARKAN BANYAKNYA PERUSAHAAN DAN CABANG INDUSTRI Sopiana Indra Wardani; Wiwit Purwa Nurmayanti; Muhammad Malthuf
Journal of Applied Statistics and Data Mining Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i2.10

Abstract

Cluster analysis is a technique used to classify objects into relatively homogeneous groups. In 2018 the number of companiesand industrial branches in East Lombok regency has been recorded by BPS, but there are no sub-district clusters for eachindustry. The purpose of this study is to clustering 21 sub-districts in East Lombok Regency in 2018 based on the number ofcompanies and branches of industry comprising the metal machinery and engineering, electronics and miscellaneous industriesand the textile industry. The results of the analysis using cluster analysis with the Single Linkage method shows information thatthe sub-district group comprised three groups, namely the sub-district group with many of the highest, medium and lowestindustries. Companies and branches of the metal machinery and engineering and electronics and miscellaneous are found in theDistrict of Selong, and for the most textiles in the Districts of Pringgasela, Aikmel and Lenek.
PEMODELAN REGRESI LOGISTIK BINER PADA FAKTOR PENYEBAB PERNIKAHAN DINI DI KALIMANTAN SELATAN Meliana hersela; Safaat Yulianto
Journal of Applied Statistics and Data Mining Vol. 1 No. 2 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i2.34

Abstract

Menurut UNICEF Indonesia menempati urutan ke-8 di dunia dengan pernikahan dini terbanyak. Di Indonesia sendiri daerah dengan angka pernikahan dini tertinggi adalah Kalimantan Selatan. Pada penelitian kali ini penulis ingin mengetahui faktor-faktor apa saja yang mempengaruhi pernikahan dini di Kalimantan Selatan. Penelitian dilakukan dengan melakukan analisis Regresi Logistik Biner dengan data Survei Demografi dan Kesehatan Indonesia (SDKI) 2017. Berdasarkan hasil penelitian dapat disimpulkan bahwa variabel independent yang berpengaruh terhadap variabel dependent yaitu variabel pendidikan wanita. Variabel pendidikan wanita yang mempengaruhi variabel status pernikahan dini, yaitu ketegori wanita yang tidak bersekolah, jenjang SD, dan jenjang SMP-SMA.

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