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All Journal Jurnal Teknik Elektro InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Jurnal Manajemen Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) Innovation in Research of Informatics (INNOVATICS) Informatics and Digital Expert (INDEX) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat SWARNA Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Bakti Sekawan : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Pengabdian dan Inovasi Valid Jurnal Pengabdian Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) TAMPIASIH
Muhammad Innuddin
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences Other

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Optimizing Sentiment Analysis for Lombok Tourism Using SMOTE and Chi-Square with Machine Learning Hairani; Anthony Anggrawan; Muhammad Ridho Akbar; Khasnur Hidjah; Muhammad Innuddin
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6623

Abstract

Tourism is a vital economic sector for Lombok Island, which is renowned for its natural beauty and cultural richness as a top destination. The rapid growth of tourism in Lombok requires a deep understanding of tourists' perceptions and sentiments to ensure an optimal service quality. The sentiment analysis of online reviews is valuable for identifying service strengths and weaknesses and addressing tourists' needs more effectively. This not only enhances tourist satisfaction, but also aids in the design of more effective marketing strategies. However, text data analysis from online reviews presents unique challenges such as noise, class imbalance, and numerous features that may affect classification results. Therefore, this study aims to classify tourist sentiment toward Lombok tourism using machine learning methods combined with feature selection and oversampling techniques. This study focuses on optimizing sentiment analysis of tourism-related tweets using a combination of SMOTE oversampling and Chi-Square feature selection on improving classification performance without hyperparameter tuning. The study applies machine learning methods, such as SVM and Naïve Bayes, with feature selection and oversampling using Chi-Square and SMOTE. The dataset used was sentiment data regarding Lombok tourism obtained from Twitter in 2023, consisting of 940 instances divided into three classes: Negative, Neutral, and Positive. The research findings show that the use of SMOTE and Chi-Square can improve the accuracy of the SVM and Naive Bayes methods. Without optimization, the SVM method achieved an accuracy of 73.93% and a Naive Bayes of 67.02%. After optimization with SMOTE and Chi-Square, the accuracy increased for SVM by 90% and Naive Bayes by 84% to classify tourist sentiment towards Lombok tourism. The implications indicate that combining data balancing using SMOTE with feature selection via Chi-Square effectively improves the performance of sentiment classification models for tourist opinions on Lombok's tourism.
Implementasi Access Control pada Sistem Informasi Akuntansi untuk Meningkatkan Keamanan Data Keuangan Muhammad Innuddin; Muliani
JURNAL TAMPIASIH Vol. 3 No. 2 (2025): Tampiasih juli
Publisher : LPPM, Institut Teknologi dan Kesehatan Aspirasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Keamanan data keuangan merupakan salah satu aspek penting dalam pengembangan Sistem Informasi Akuntansi karena data tersebut bersifat sensitif dan berhubungan langsung dengan aktivitas operasional organisasi. Penelitian ini bertujuan mengimplementasikan Access Control berbasis Role-Based Access Control (RBAC) untuk membatasi akses pengguna sesuai dengan tugas dan kewenangannya. Metode penelitian menggunakan pendekatan System Development Life Cycle (SDLC) yang meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan evaluasi. Sistem dirancang dengan beberapa peran pengguna, yaitu administrator, bendahara, kasir, pimpinan, dan auditor, dengan hak akses yang berbeda terhadap transaksi dan laporan keuangan. Pengujian dilakukan menggunakan black-box testing dan skenario pengujian otorisasi untuk memastikan pengguna hanya dapat mengakses fungsi dan data yang telah diberikan. Hasil penelitian menunjukkan bahwa penerapan access control dapat memperkuat pembatasan akses terhadap data keuangan, mengurangi peluang perubahan data oleh pengguna yang tidak memiliki kewenangan, serta menyediakan jejak aktivitas melalui audit log. Implementasi tersebut mendukung prinsip kerahasiaan, integritas, dan ketersediaan data sehingga keamanan Sistem Informasi Akuntansi dapat ditingkatkan.
Co-Authors -, Ubaidi Abdillah, Mokhammad Nurkholis Admojo, Fadhila Tangguh Ahmad Fathoni Ahmad Zuli Amrullah Andi Sofyan Anas Angga Radlisa Samsudin Anthony Anggrawan Bagas Hadista Mulyadi Dading Oktaviadi Resmiranta Dedi Aprianto Dedi Febry Rachman Dedy Febry Rachman Dedy Febry Rahman Dyah Susilowati Eka Sudarsana, I Putu Fauzan Natsir Gibran Satya Nugraha Hairani Hairani Hammad, Rifqi Hasbullah Hasbullah Hasbullah Hasbullah Hersanius Kurnia Peong I Wayan Pio Pratama Ida Putu Andika Irwan Darmawan Jauhari, M. Thonthowi Khasnur Hidjah Kurniadin Abd Latif Kurniawan Kurniawan Lilik Nurhayati Mardedi, Lalu Zazuli Azhar Mardedi, Lalu Zazuli Azhar Mayadi, Mayadi Melati Rosanensi Miftahul Madani Mualfah, Desti Muhamad Azwar Muhammad Arfa Muhammad Ridho Akbar Muhammad Sahdan Muhammad Tahir Muhammad Zulkarnaen Haris Muliani Naufal Hanif Nazir Arifin, Mohammad Nurhayati, Lilik Ondi Asroni Pahrul Irfan Phyta Rahima Puspa Dewi, Nindian Rahman, Mochamad Farhan Caesar Rahmawati, Lela Ramadhani, Nilam Ramadhanti Ramadhanti Ramadhanti, Ramadhanti Ria Rismayati Rifqi Hammad Samsul Hadi Slamet Risnanto Sri Anita Rachman Suratno, Danang Mulyadipa Suryati Sutarman Sutarman Syaiful Amri Windiawati, Ai Wulan Wira Hendri Zilullah Nazir Hadi