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All Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian Masyarakat
Annisa, Nur Alvi
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Religion Computer Science & IT Education Library & Information Science Social Sciences

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Analisis Pengelolaan Surat Yang Masuk Pada Bidang Penaatan Dan Peningkatan Kapasitas Lingkungan Hidup Terhadap Surat Perintah Tugas Dan Surat Perintah Perjalanan Dinas Di Sumatera Utara Dengan Menggunakan Metode Regresi Annisa, Nur Alvi; Nurmadani; Fadillah, Yanna Rezki; Lubis, Riri Syafitri
Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2022): Desember 2022
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v1i2.27

Abstract

Practical Work (KP) is an academic activity that is oriented towards forms of student learning to develop and improve a quality workforce. With practical work (KP) it is hoped that students will be able to add to their knowledge and experience in preparing themselves to enter the real world of work. problems that occur in the field of compliance and environmental capacity building in North Sumatra province, namely the preparation of data for incoming and outgoing letters which are still manual using a ledger which is then inputted with a computer which still uses Excel as a place to store personal data with different data, officers do 2 work times. therefore the practitioner tries to use the linear regression method to determine the effect between the two to make it more efficient.
INFLATION RATE ESTIMATION USING HYBRID ARIMA-ADAPTIVE NEURO FUZZY INFERENCE SYSTEM METHOD Annisa, Nur Alvi; Sari, Rina Filia
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5534

Abstract

Inflation is an important issue that affects the economic stability of a country or region. Unstable inflation will have a negative impact on society, especially on commodity prices including food and energy. Inflation is classified as a time series and will usually recur over time, five years later, or ten years later. , the problem of inflation needs to be studied and analyzed using existing approaches in time series. This research focuses on the application of Hybrid ARIMA-Adaptive Neuro Fuzzy Inference System method for inflation estimation, which is expected to provide a more accurate picture of the price fluctuations of basic needs in North Sumatra. Overall, the results show that the ability of the Hybrid ARIMA-Adaptive Neuro Fuzzy Inference System method in estimating inflation values is quite good with the results tending to be stable and not experiencing many sharp fluctuations. The inflation value is in the range of around -2.69 to -2.73 throughout the predicted period. However, a continuous negative number indicates a price decline or economic pressure, so further analysis or development is needed to understand the cause. The estimation results may help to maintain stability or make desired changes in the future.
Co-Authors Fadillah, Yanna Rezki Nurmadani Rina Filia Sari, Rina Filia Riri Syafitri Lubis