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All Journal TEKNOLOGI INFORMASI Smatika Jurnal : STIKI Informatika Jurnal
Evy Sophia
STMIK PPKIA Pradnya Paramita
Computer Science & IT

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Sistem Informasi Peramalan Obat Alphamol Menggunakan Metode Double Exponential Smoothing Evy Sophia; Jauharul Maknunah; Mohamad Dimas Oktavianda
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 01 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i01.567

Abstract

Sofia Medika Clinic in terms of supply of alphamol drugs every month is always the same, because the clinic has not been able to predict the number of drugs that need to be provided. When the amount of drug inventory is in excess, it will result in fewer drug expiration dates and make the selling price of drugs cheaper. On the other hand, when the amount of drug supply is in short supply, it will have an impact on patient service or buyers who are considered disappointing and have an impact on the clinic. To assist clinics in reducing drug sales errors, a technology is needed in it using forecasting methods. Based on the existing sales data pattern, the forecasting method used is the Double Exponential Smoothing method, because the sales data is a trend with all p-values > 0,05 with the Dicky Fuller test (ADF-test). This study aims to build an Alphamol Drug Forecasting Information System at Sofia Medika Clinic with the Double Exponential Smoothing Method. The results of the alphamol drug sales forecasting application system using the Double Exponential Smoothing Method obtained MAD = 221,0925, MSE = 176693,3, and MAPE = 7,26%. which previously produced a value of 29% so that the results of this application can be used to predict the amount of alphamol drug sales that will be sold in the present and in the future.
Cloud Computing, IaaS, PaaS, Saa EVALUASI PERFORMA MODEL LAYANAN CLOUD COMPUTING: STUDI KOMPARATIF IAAS, PAAS, DAN SAAS DENGAN PENGUJIAN BEBAN BERTINGKAT Dian Wahyuningsih; Luqman Affandi; Evy Sophia
Teknologi Informasi : Teori, Konsep, dan Implementasi : Jurnal Ilmiah Vol 16 No 2 (2025): JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 16 No 2 Tahun 202
Publisher : STMIK PPKIA Pradnya Paramita

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36382/jti-tki.v16i2.625

Abstract

Cloud computing has become a fundamental paradigm in digital transformation, offering three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) [1]. This study examines the comparative performance of these three cloud computing service models through multilevel load testing with five different scenarios (50, 200, 500, 1000, and 2000 concurrent users). Using an experimental methodology with Apache JMeter as a testing tool, this study analyzes critical metrics such as response time, throughput, CPU utilization, memory usage, error rate, and availability [2]. The test results show that PaaS provides superior performance with an average response time of 532.2 ms and a throughput of 2562 req/s, exceeding IaaS (597.0 ms, 2428 req/s) and SaaS (656.0 ms, 2342 req/s). In terms of resource efficiency, PaaS shows optimal CPU utilization (68.2%) and the lowest memory usage (5.16 GB) [3]. Cost-performance ratio analysis reveals that PaaS has the best ratio (0.0041-0.0103), followed by SaaS and IaaS. These findings provide practical guidance for organizations in choosing a cloud computing model that suits their technical and financial needs [4].
Co-Authors Affandi, Luqman Dian Wahyuningsih Jauharul Maknunah Mohamad Dimas Oktavianda