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All Journal Journal of applied statistics and data mining
Muhammad Malthuf
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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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.
Co-Authors Lina Septia Hultafiana Maziyyah Sopiana Indra Wardani Wiwit Purwa Nurmayanti