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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup International Journal of Mathematics, Statistics, and Computing Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Fitria Virgantari
Unknown Affiliation
Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PENDUGAAN PARAMETER MODEl DISTRIBUTED LAG POLA POLINOMIAL MENGGUNAKAN METODE ALMON Virgantari, Fitria; Rahayu, Wilda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.468 KB) | DOI: 10.30598/barekengvol15iss4pp761-772

Abstract

The distributed lag model is a regression model that describes the relationship between the dependent variable of a given period and the independent variables of a certain or previous periods. The model can be used to determine the impact of the independent variable to dependent variables over time and forecast time series data for the next periods. There are two forms of distributed lag model that have been widely proposed in the estimation of distributed lag regression model. The first form is proposed by Koyck and the second form by Almon. This paper aims to apply the Almon model to examine the effect of the ratio of BOPO (Operating Cost and Operating Income) to the ROA (Return on Asset) of a government bank based on quarterly data, to estimate its parameters, to examine the feasibility of the model, and to predict the next quarter. Results shows that distributed lag model is = 10.110 - 0.078 + 0.015 + 0.026 – 0.045 with Yt is ROA, and Xt is the ratio BOPO on the 1st quarter until the previous 3 quarters. The model is quite good according to the determination coefficient that is 0.75, no autocorrelation in the model, t test and F test are also significant. Based on the model, the value of ROA ratio next quarter predicted 4.63%. The decrease in profitability ROA ratio is due to an increase in interest expense while interest income can not compensate
Improving village officer competence through statistics training as an effort to accelerate development in Cikanyere Village Hagni Wijayanti; Fitria Virgantari; Siska Andriani; Bandar Anzari
Jurnal Pengabdian Masyarakat Inovatif Vol. 4 No. 1 (2026): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

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

Abstract

Village data and information are crucial for supporting village development. The availability of data and information will facilitate the development planning process and enable the making of appropriate and accurate decisions to advance the village based on its characteristics. However, in Cikanyere Village, problems were encountered, including incomplete data, a lack of skills and knowledge among village officials, and limited access to the latest information and technology for collecting and processing basic data. Therefore, training and assistance are needed for Cikanyere Village officials in collecting and processing simple statistical data. This activity equips 12 Cikanyere village officials with statistical skills in collecting data through Google Forms, processing data and presenting data using Excel, analyzing and interpreting results, with guidance from lecturers in utilizing technology for processing village demographic statistical data. The program was implemented through five stages: needs assessment, pretest, theoretical and practical statistics training, post-test accompanied by mentoring, and program evaluation through participant feedback. The results of the activity showed that the pretest and post-test scores increased significantly. This indicates that participants have made encouraging progress in their understanding of basic concepts related to statistical data and its role in development, as well as in data collection using Google Forms and the ability to operate Microsoft Excel to process data. The feedback results indicate that this community service activity aligns with the initiative's objectives and meets the needs of its partners. Respondents assessed that the implementing team demonstrated a professional, communicative, and responsive attitude. The community service program was not only well-received by the participants, but was also anticipated to continue in the future.
Improving village officer competence through statistics training as an effort to accelerate development in Cikanyere Village Hagni Wijayanti; Fitria Virgantari; Siska Andriani; Bandar Anzari
Jurnal Pengabdian Masyarakat Inovatif Vol. 4 No. 1 (2026): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

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

Abstract

Village data and information are crucial for supporting village development. The availability of data and information will facilitate the development planning process and enable the making of appropriate and accurate decisions to advance the village based on its characteristics. However, in Cikanyere Village, problems were encountered, including incomplete data, a lack of skills and knowledge among village officials, and limited access to the latest information and technology for collecting and processing basic data. Therefore, training and assistance are needed for Cikanyere Village officials in collecting and processing simple statistical data. This activity equips 12 Cikanyere village officials with statistical skills in collecting data through Google Forms, processing data and presenting data using Excel, analyzing and interpreting results, with guidance from lecturers in utilizing technology for processing village demographic statistical data. The program was implemented through five stages: needs assessment, pretest, theoretical and practical statistics training, post-test accompanied by mentoring, and program evaluation through participant feedback. The results of the activity showed that the pretest and post-test scores increased significantly. This indicates that participants have made encouraging progress in their understanding of basic concepts related to statistical data and its role in development, as well as in data collection using Google Forms and the ability to operate Microsoft Excel to process data. The feedback results indicate that this community service activity aligns with the initiative's objectives and meets the needs of its partners. Respondents assessed that the implementing team demonstrated a professional, communicative, and responsive attitude. The community service program was not only well-received by the participants, but was also anticipated to continue in the future.
Co-Authors - Harianto Afriyanti Rahmawati Saputri Arief Daryanto Bandar Anzari Hagni Wijayanti Hagni Wijayanti Ir Seno, Natalia Maya Widyastiti, Maya Rahayu, Wilda Saputri, Afriyanti Rahmawati Setyaningsih, Sri Siska Andriani Sri Setyaningsih Sri Utami Kuntjoro Sri Utami Kuntjoro Syifa Fauziah Syifa Fauziah