Jurnal Sintaks Logika

Analisis Sentimen Terhadap Ulasan Aplikasi Tiktok Pada Google Play Store Menggunakan Metode TF-IDF dan Naïve Bayes

2026-05-05T00:22:17+08:00

Abstract: The rapid growth of short-video social media platforms such as TikTok has significantly increased the volume of user reviews that reflect public perceptions of application quality. These reviews constitute electronic word of mouth (e-WOM), which influences brand image, user trust, and adoption decisions. This study aims to analyze user sentiment toward the TikTok application using a text mining approach based on the Naïve Bayes algorithm and Term Frequency–Inverse Document Frequency (TF-IDF) weighting. The dataset consists of user reviews collected from the Google Play Store and categorized into sentiment classes. The data were processed through several preprocessing stages, including text cleaning, tokenization, stopword removal, normalization, and stemming, before feature extraction and classification.

The experimental results indicate that the proposed model achieved an accuracy of 67.35% in classifying sentiment. However, analysis of the confusion matrix and prediction distribution reveals a bias toward the majority class due to dataset imbalance. The Naïve Bayes classifier combined with TF-IDF representation demonstrates satisfactory performance in identifying dominant extreme sentiments (positive and negative), yet its effectiveness decreases in multi-class classification scenarios with uneven data distribution.

Sistem Pendukung Keputusan Pemilihan Ketua Klasis Siep Asso Menggunakan SAW

2026-05-16T09:44:05+08:00

The selection of the Head of the Siep Asso Classis is a strategic process in determining leaders who are able to manage church services and organizations effectively. This process often faces obstacles of subjectivity, lack of transparency, and the absence of measurable assessment methods. This research aims to design and build a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to produce objective and systematic decisions. The SAW method is used to calculate the preference score for each candidate based on predetermined and weighted criteria, including leadership, service experience, integrity, communication and commitment. Data was obtained through interviews, questionnaires and documentation studies. System design uses flowcharts and Data Flow Diagrams (DFD), while development is carried out using PHP and MySQL. System testing applies Black Box Testing to ensure functions run as required. The research results show that SAW-based SPK is able to provide candidate recommendations accurately, consistently and transparently. This system helps minimize subjectivity and supports a fairer and more measurable decision-making process.

Perlindungan Data dan Privasi dalam Prespektif Islam

2026-07-15T22:20:30+08:00

The rapid development of information technology has significantly increased personal data usage in digital activities while simultaneously creating new risks like data breaches and identity theft. These emerging challenges make personal data protection and privacy essential issues that must be examined through both positive law and Islamic values. This study specifically aims to analyze the concept of personal data protection and privacy from the perspective of Islamic law and maqashid al-shariah, examining its relevance to modern digital data governance. This qualitative research employs a comprehensive library research approach by analyzing the Qur'an, Hadith, scholarly books, and relevant legislation. The findings indicate that Islam provides a robust foundation for protecting personal data privacy through the core principles of amanah and the strict prohibition of tajassus. Furthermore, data protection closely aligns with safeguarding honor (hifz al-'ird), property (hifz al-mal), life (hifz an-nafs), and intellect (hifz al-'aql). Within Islamic criminal law, personal data misuse can be classified as jarimah ta'zir. These fundamental Islamic principles strongly align with Indonesia's Personal Data Protection Law (Law No. 27/2022), providing ethical guidance for just data governance.

Pengembangan Aplikasi Mobile untuk Pencatatan Transaksi BRI Link Mini ATM Bersama Vika Cell

2026-07-21T10:42:52+08:00

The growth of digital financial services through BRILink agents like Vika Cell has facilitated public transactions; however, administrative management often still relies on manual ledger entries. This conventional method entails risks such as data entry errors, delays in data recapitulation, and the potential loss of daily transaction records. This study aims to design and develop a mobile application for recording BRILink Mini ATM Bersama transactions at Vika Cell, thereby digitizing the bookkeeping system to enhance effectiveness, speed, and accuracy. The Rapid Application Development (RAD) method was employed for system development. System functionality was verified using Black-Box Testing to ensure all features operate correctly and without errors. The study resulted in a mobile-based recording application capable of managing transaction data, automatically calculating profit commissions, and generating periodic financial reports in real-time. Implementation of this application successfully minimized the risk of human error and accelerated the daily operational evaluation process.

Perancangan Dan Implementasi E-Commerce Pada Toko Pakaian Govind Store Berbasis Web Mobile

2026-08-04T19:42:42+08:00

The rapid advancement of information technology has accelerated digital transformation across various business sectors, including Micro, Small, and Medium Enterprises (MSMEs), through the adoption of electronic commerce (e-commerce) systems. Govind Store is a clothing retail business that still relies on conventional sales processes, resulting in ineffective product promotion, transaction management, and sales reporting. This study aims to design and implement a mobile web-based e-commerce system to improve sales management efficiency and expand market reach. The system was developed using the Waterfall software development methodology, which consists of the requirements analysis, system design, implementation, testing, and maintenance phases. The application was built using PHP Native, MySQL, and Bootstrap to provide a responsive interface across various mobile devices. System functionality was evaluated using Black Box Testing, and the results indicate that all core features, including user authentication, product management, shopping cart, checkout, payment, and sales reporting, operated according to the specified functional requirements. The implementation of the proposed system improves business process efficiency, facilitates online transactions for customers, and assists store administrators in managing sales data more accurately, efficiently, and in an integrated manner.