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All Journal INTI Nusa Mandiri Jurnal Pengabdian kepada Masyarakat
Elvira Mustikawati Putri Hermanto
Universitas PGRI Adi Buana Surabaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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PELATIHAN PENGGUNAAN SOFTWARE R UNTUK MENGUJI PERBANDINGAN BERGANDA DAN ASUMSI RESIDUAL PADA RANCANGAN PERCOBAAN Elvira Mustikawati Putri Hermanto; Muhammad Athoillah; Wanda Nur Hamidah; Dimas Pramana Putra
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 4: September 2021
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v1i4.238

Abstract

Sebagai perwujudan bakti negri, Program Studi S1 Statistika Unipa mengadakan kegiatan pengabdian kepada masyarakat melalui pelatihan uji perbandingan berganda dan asumsi residual menggunakan software R. Pemilihan topik didasarkan atas hasil observasi yang menunjukkan masih banyak mahasiswa, peneliti muda maupun masyarakat yang berkecimpung dalam bidang sains data belum mengenal metode tersebut, sedangkan uji perbandingan ganda aspek penting yang perlu dilakukan terutama saat hasil analisis variansi hanya menentukan adanya perbedaan antar populasi tetapi tidak bisa mengetahui populasi mana saja yang berbeda, sedangkan Uji Asumsi Residual diperlukan sebagai bukti kevalidan dai model yang sedang diteliti, karena hasil dari uji tersebut dapat membuktikan bahwa estimasi dari parameternya tidak bias. Kesuksesan kegiatan pelatihan ini dibuktikan dari dua aspek, yaitu hasil umpan balik positif dari peserta tentang terselenggaranya pelatihan ini, serta dari hasil evaluasi pre-test dan post test yang menunjukkan peningkatan presentasi hasil evaluasi dari 61,60% pada saat pre-test menjadi 71,33% pada saat post test
PENDEKATAN HYBRID TSR-NN UNTUK PERAMALAN INFLOW OUTFLOW UANG KARTAL REGIONAL JAWA TIMUR Artanti Indrasetianingsih; Elvira Mustikawati Putri Hermanto; Mohamad Ilham; Novi Rahmawati; Intan Amelia Hariyanto
INTI Nusa Mandiri Vol. 19 No. 2 (2025): INTI Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i2.5283

Abstract

The availability of currency circulating in society can influence the economic conditions of a country. The need for money increases when religious holidays approach, such as Eid al-Fitr and Christmas, as well as school holidays and the end of the year. Therefore, it is necessary to plan the need for currency, one of which is by forecasting the circulation of currency, both inflow and outflow. Forecasting is done to predict a value in the future based on historical data. This research aim was to predict the inflow and outflow of regional currency in East Java using the hybrid Time Series Regression (TSR) – Neural Network (NN) method. The methods in time series analysis used to predict are increasingly developing, as are hybrid methods, namely methods that combine several models to produce more accurate forecasts. The analysis results obtained show that the prediction of incoming and outgoing cash flows is better using the hybrid TSR-NN method because it produces a smaller RMSE value, namely 1,656.62, with a MAPE of 0.28 compared to the TSR method. The results of this study are expected to contribute to a hybrid approach for forecasting the regional currency inflow and outflow of East Java.
Co-Authors Alfisyahrina Hapsery Dimas Pramana Putra Indrasetianingsih, Artanti Intan Amelia Hariyanto Intan Amelia Haryanto Mohamad Ilham Muhammad Athoillah, Muhammad Novi Rahmawati Wanda Nur Hamidah