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All Journal Prosiding Seminar Nasional Official Statistics E-Prosiding Seminar Nasional Manajemen dan Akuntansi STIE Semarang (SENMAS)
Ratri Wulandari
Institut teknologi Statistika dan Bisnis Muhammadiyah Semarang
Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Forecasting Palm Oil Production Using Fuzzy Time Forecasting Two-Factor Cross Associations with Frequency Density Partitions Ratri Wulandari; Lathifatul Aulia
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.105 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1103

Abstract

Economic decisions have many determining factors based on estimates of macroeconomic variables. The accuracy of decision estimates can have an important impact. Forecasting is a method to reducing uncertainty about the future, because of economic decisions have multi-factor problems, the high order fuzzy time series forecast method is more suitable than the first order fuzzy time series forecast. Predictions are made for main factors by taking influence from both factors. FLR reflects the relationship between the premise and consequence. In this paper will be discussed fuzzy time series forecasting multi-factor one order cross association based on frequency density partition as a forecasting method to forecast palm oil production with influenced by large of the area. The results of the estimates show that the proposed method has a high forecast performance, with AFER value is according to the AFER criteria table 10%, it can be concluded that the forecast has very good criteria
Penggunaan Metode Importance Performance Analysis (IPA) dan Fuzzy ServQual pada Analisis Mutu Layanan Administrasi Lathifatul Aulia; Ratri Wulandari; Zakaria Bani Ikhtiyar
E-Prosiding Seminar Nasional Manajemen dan Akuntansi STIE Semarang (SNMAS) Vol 3 No 1 (2023): STIESEM 2023 (International Webinar & Call for Paper) “Utilization of Technology
Publisher : STIE Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perlu kita ketahui bersama bahwa setiap aspek pelayanan administrasi dapat diketahui tingkat kepuasaan kinerja salah satunya pelayanan administrasi kependudukan untuk melayani masyarakat. Berdasarkan penelitian ini penulis dapat mengetahui aspek pelayanan yang menjadi prioritas untuk ditingkatkan melalui nilai gap yang diperoleh dalam perhitungan. Gap analysis adalah metode pengukuran untuk mengetahui kesenjangan antara kinerja dari suatu variabel dengan harapan pengguna layanan terhadap variabel tersebut. Penelitian ini, penulis menggunakan Metode fuzzy service quality untuk menganalisa kepuasan pelayanan administrasi kependudukan serta menggunakan Metode Importance Performance Analysis untuk mengukur hubungan antara persepsi pengguna layanan dan prioritas peningkatan kualitas pelayanan administrasi kependudukan. Dalam Metode Importance Performance Analysis terdapat 2 perhitungan dalam menentukan gap analysis yaitu mencari tingkat kesuaian dan diagram kartesius. Hasil dari proses perhitungan menunjukkan bahwa ada indikator-indikator yang harus dilakukan perbaikan atau peningkatan layanan administrasi kependudukan sesuai dengan prioritasnya.
Co-Authors Aulia, Lathifatul Lathifatul Aulia Zakaria Bani Ikhtiyar