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All Journal TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Journal of Software Engineering And Technology
Oktaria, Herlini
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Computer Science & IT

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DIGITAL HERITAGE PORTAL BASED ON PROGRESSIVE WEB APP: EFFORTS FOR THE DEVELOPMENT OF CULTURAL HERITAGE AND TOURISM IN LAMPUNG Brilliant, Muhamad; Nurhasanah, Iis Ariska; Oktaria, Herlini; Handoko, Dwi
TEKNOKOM Vol. 7 No. 1 (2024): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/teknokom.v7i1.169

Abstract

According to Undang-undang No. 11 Th. 2010 regarding Cultural Heritage, preservation involves dynamic efforts to safeguard the existence and values of Cultural Heritage through protection, development, and utilization. Despite rapid technological progress, there is currently no dedicated digital platform designed to promote and preserve cultural heritage in Lampung Province. The diverse cultural legacies could be better harnessed and developed, as they hold significant potential for attracting tourists to the region. This research aims to design a Progressive Web App-based Digital Heritage Portal to foster cultural heritage and tourism in Lampung Province. Digital Heritage employs technology to understand and conserve cultural legacies. As an innovative approach, the information system is crafted using Progressive Web App technology for easy user access online or offline, without requiring prior app installation. The system is anticipated to aid in the promotion, preservation, and advancement of cultural heritage and tourism in Lampung. The research follows the Waterfall method with these stages: 1) Problem analysis, (2) Data collection, (3) System requirement analysis, (4) Coding, (5) Deployment, and (6) System testing. The research yields an application design functioning as an informative platform for historical and cultural heritage tourism in Lampung Province. The application operates smoothly across platforms and offline. Test results affirm proper menu functionality aligned with stipulated system requirements.
PERAMALAN POLA JUMLAH NASABAH MENGGUNAKAN METODE ARIMA ,HOLT-WINTERS EXPONENTIAL SMOOTHING, FUZZY TIME SERIES (STUDY KASUS : PT.AIA SUNRISE AGENCY) Brilliant, Muhamad; Lestari, Kanti; Oktaria, Herlini
Journal of Software Engineering and Technology. Vol 2, No 2 (2022): SEAT: Journal Of Software Engineering and Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v2i2.61

Abstract

PT. AIA FINANCIAL sebagai salah satu perusahaan asuransi jiwa, memiliki jumlah nasabah yang selalu mengalami peningkatan di setiap bulannya. Hal tersebut tidak terlepas dari dukungan dari PT. AIA FINANCIAL Indonesia yang mempekerjakan lebih dari 40.000 jaringan tenaga pemasaran dan melayani lebih dari 350.000 nasabah yang tersebar di 6 kantor pemasaran dan 110 kantor keagenan di seluruh Indonesia. Informasi jumlah nasabah dapat dimanfaatkan untuk peramalan (forecasting) jumlah nasabah di masa yang akan datang. Sehingga menudahkan perusahaan PT. AIA FINANCIAL dalam proses pengambilan keputusan dan membuat rencana masa depan. Berdasarkan uraian di atas maka penelitian ini melakukan peramalan (forecasting) jumlah nasabah pada PT. AIA FINANCIAL Lpg Sunrise Agency yang akan terjadi di Tahun 2022 menggunakan metode box-jenkins (arima), holt- winters exponential smoothing, Fuzzy Time Series. Berdasarkan uji pola data dan uji auto korelasi yang telah dilakukan diperoleh hasil bahwa pola data Nasabah PT. AIA Financial Lpg Sunrise Agency memiliki pola data musiman dan tren. Karena besarnya residual tidak merata atau terpaut sangat jauh antara residual satu dengan residual yang lain, pemilihan metode peramalan terbaik menggunakan nilai MSE yang terkecil. Dari tiga metode yang diuji, metode peramalan jumlah nasabah  terbaik pada Nasabah PT. AIA Financial Lpg Sunrise Agency adalah metode Holt Winters Exponential Smoothing dengan nilai MSE sebesar 202,44, MAPE 1,9% dan MAD 3,707% % yang berarti memiliki nilai bias sangat kecil dimana semakin rendah nilai MAD, MAPE dan MSE Maka semakin akurat suatu hasil peramalan
Co-Authors Brilliant, Muhamad Dwi Handoko Lestari, Kanti Nurhasanah, Iis Ariska