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Journal : RISTEC : Research in Information Systems and Technology

Sentiment Analysis of the LinkedIn Application Using the Lexicon Based Meth¬od Based on Google Play Store Reviews Meriska Defriani; Muhammad Rafi Muttaqin; Qonita Rizkiya Karima
RISTEC : Research in Information Systems and Technology Vol. 5 No. 1 (2024): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

LinkedIn is the largest professional network in the internet world. Useful for finding the right job, strengthening professional relationships, learning skills as needed for a successful career and having the opportunity to expand relationships. In this study, we will analyze the sentiment of android users towards one of the applications in the google play store, namely LinkedIn, through reviews in the google play store comments column. The research method is lexicon based using the vader sentiment library to determine the value of whether the sentence is in the positive, negative or neutral class. Based on the results of the percentage accuracy obtained that android users of the LinkedIn application on the google play store using the lexicon based method by utilizing the vader sentiment library, namely 56.56% for the positive sentiment class, 30.62% for the neutral sentiment class and 12.82% for the negative sentiment class. This shows that positive sentiment is greater than negative and neutral sentiment. Keywords : LinkedIn; google play store; lexicon based; library vader sentiment
Design and Implementation of the Doctor Shoes Mobile Application Using the Waterfall Model irpan, muhammad; Meriska Defriani; M. Agus Sunandar
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Abstrak: Kemajuan dalam teknologi mobile telah berkontribusi besar terhadap perkembangan layanan jasa, terutama dalam mendukung sektor perusahaan mikro, kecil, dan menengah (UMKM). layanan yang mungkin untuk dioptimalkan melalui teknologi mobile adalah jasa pencucian sepatu. Penelitian ini bertujuan untuk merancang serta mengembangkan aplikasi Doctor Shoes, sebuah aplikasi berbasis Android yang menyediakan layanan cuci sepatu secara digital. Aplikasi ini dirancang untuk mempermudah pelanggan dalam melakukan pemesanan, memantau status layanan secara real-time, serta berkomunikasi langsung dengan petugas pengantar (driver). Proses pengembangan aplikasi menggunakan bahasa pemrograman Kotlin dan mengandalkan Firebase sebagai backend untuk penyimpanan data dan sinkronisasi secara real-time. Model Waterfall digunakan sebagai metode pengembangan., yang meliputi tahap komunikasi, perencanaan, pemodelan, konstruksi, dan penerapan sistem. Hasil akhir dari penelitian ini berupa aplikasi Doctor Shoes yang dapat membantu memfasilitasi layanan cuci sepatu dengan cara yang efisien, modern, dan praktis bagi para pengguna.