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All Journal Jurnal Akuntansi Aktual Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Muhammad Azlan
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Computer Science & IT Economics, Econometrics & Finance Social Sciences

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PENGARUH KUALITAS SUMBER DAYA MANUSIA,PEMANFAATAN TEKNOLOGI INFORMASI, PENGENDALIAN INTERN AKUNTANSI,DAN PENGAWASAN KEUANGAN DAERAHTERHADAP KEANDALAN LAPORAN KEUANGAN DAERAH PADA SKPD PEMERINTAH KABUPATEN LOMBOK TIMUR Muhammad Azlan; Titiek Herwanti; Endar Pituringsih
Jurnal Akuntansi Aktual VOLUME 3, NOMOR 2, JUNI 2015
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (112.213 KB)

Abstract

This studyaimed to analyze the influence of the quality of human resources, utilization ofinformation technology, accounting internal control, and financial over sight of there liability oftheregion’s financial statement presentation area onthe SKPD East Lombok regency government. Datais collected using a question naire. Analysis to olusedis multiple linear regression with SPSS 16. Thepopulation in this study is SKPD locatedin East Lombok to taling 30 SKPD and each SKPD representedby three members, namely the secretary/head of division, head of the division of finance, and treasurerasrespondents. The results showed that the variable quality of human resources, information technologyutilization, internal control accounting and financial control regions positive effect on there liability offinancial statement presentation SKPD East Lombok regency government. Implications of the study theoretically usability stand point of  financial reporting quality information, this research may provide insight into the decision use fulness so as to provide an explanatory theory on the concept of  thinkingabout the importance of the quality of the resulting financial statements are implicated in increasing thefinancial accountability of the government. Such understandingis required so that the data presentedin the financial statements to be useful and used as best as possiblef or the user stomaking the rightdecision.Keywords:human resource qualities, information technology utilization, the controlling intern accountancy,local financial monitoring, reliability
Analisis Sentimen Ulasan pada Google Review di Sebuah Penginapan Menggunakan Algoritma Naïve Bayes: Studi Kasus: Grand Jatra Hotel Pekanbaru Muhammad Azlan; Elvi Rahmi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): Agustus : Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i3.1003

Abstract

This study aims to analyze the sentiment of customer reviews of the Grand Jatra Hotel Pekanbaru on the Google Review platform using the Naïve Bayes algorithm. Social media and online review platforms are increasingly becoming the primary source of information for potential customers in making purchasing decisions, particularly in the hospitality sector. Therefore, sentiment analysis of customer reviews is crucial for understanding consumer perceptions and providing strategic input for hotels in improving service quality. The research data was collected using web scraping techniques to obtain publicly available customer reviews. The obtained data was then processed through text preprocessing stages including case folding, tokenizing, normalization, stopword removal, and stemming. The Term Frequency-Inverse Document Frequency (TF-IDF) method was then used to weight each word, so that more relevant words have a greater influence in the classification process. The sentiment classification process was carried out into two main categories, namely positive and negative. The Naïve Bayes model was trained using training data and then tested with test data to measure the algorithm's performance in classifying sentiment. The evaluation results show that the model built is able to achieve an accuracy level of 98%, with a precision value of 97% and a recall of 100% in the positive class, and 92% in the negative class. These findings confirm that the Naïve Bayes algorithm can be effectively used in analyzing customer sentiment towards hotel services and facilities. Practically, the results of this study are expected to provide insight for the management of Grand Jatra Hotel Pekanbaru in understanding customer perceptions, identifying service strengths and weaknesses, and formulating more targeted marketing strategies. In addition, this study can also be a reference for the development of similar studies in the hotel industry and other service sectors.
Co-Authors Endar Pituringsih RAHMI, ELVI Titiek Herwanti