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Information System for Managing Incoming and Outgoing Mail at the Central Statistics Agency of West Sumba Regency Emilia Krista Bora; Adelbertus Umbu Janga; Alexander Adis
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3269

Abstract

BPS West Sumba Regency still manages mail manually, facing issues of efficiency, transparency and accuracy. Manual processes risk document loss and recording errors. This research aims to identify problems and recommend an integrated information system. This innovation is expected to increase productivity, reduce errors, and speed up decision-making at BPS. Rapid Application Development (RAD) is a software development model that focuses on accelerating processing time. This approach combines object-oriented development methods and structured techniques to accelerate the process of creating a system or application. The research showed that the implementation of the new information system at BPS West Sumba Regency improved operational efficiency. Mail processing time dropped from 3 hours to 1 hour, and the error rate was reduced from 15% to 2%. User satisfaction increased from 60% to 90%, which had a positive impact on employee motivation. User satisfaction increased from 60% to 90%, which had a positive impact on employee motivation and collaboration. The system also strengthened and improved transparency.
Analisis Sentimen Review Hotel Menggunakan Algoritma Naive Bayes Pada Ella Hotel Tambolaka Margaretha Inya Tuku; Elfira Umar; Alexander Adis
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1680

Abstract

Wisatawan ketika sedang berlibur ke suatu kota, tentu akan memesan akomodasi di hotel. Pengunjung sering kesulitan memilih hotel ketika memesan penginapan karena banyaknya pilihan. Tripadvisior adalah sebuah platform pemesanan hotel yang memberikan fitur-fitur lengkap untuk membantu pengunjung dalam memilih hotel yang tepat. Salah satu fitur yang disediakan adalah ulasan yang menunjukkan komentar-komentar dari para pengunjung mengenai hotel tersebut. Tetapi, semakin banyak saran atau tinjauan mengenai suatu hotel akan membuat pengunjung butuh waktu lebih lama untuk memilih hotel yang mereka inginkan. Dengan permasalahan tersebut, diperlukan analisis sentimen yang dapat mengambil beberapa komentar untuk mendapatkan informasi yang berguna bagi pengunjung. The sentiment analysis system that was developed aims to create a sentiment model to evaluate comments and reviews of a hotel. Analisis sentimen diproses dengan menggunakan Naive Bayes Classifier algorithm. Pengujian menunjukkan bahwa pengklasifikasian sentiment dengan menggunakan Naïve Bayes Classifier mencapai tingkat keakuratan sebesar 90.71%.