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Model Matematika Hibrida Lexicon–Harris Hawks Optimization untuk Analisis Sentimen Ulasan Produk Shopee Miftahul Falah; Yesinta Florensia; Dewi Sartika
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/h239eh92

Abstract

This research presents a hybrid Lexicon–Harris Hawks Optimization (HHO) mathematical model designed to improve sentiment analysis performance on Shopee product reviews. The rapid growth of e-commerce platforms has resulted in a large volume of user-generated content, making accurate sentiment classification essential for understanding customer opinions. Traditional lexicon-based methods are simple and interpretable but often limited by static sentiment scores that fail to capture contextual nuances in real-world review data. To overcome these limitations, this study integrates a lexicon-based scoring approach with HHO to dynamically optimize sentiment weights and enhance classification accuracy. The proposed method involves four main stages: data preprocessing, baseline lexicon-based sentiment scoring, lexicon weight optimization using HHO, and final sentiment classification. HHO is employed to search for optimal lexicon weight configurations through exploration and exploitation mechanisms modeled after the cooperative hunting behavior of Harris hawks. The optimized weights are then applied to recalculate sentiment scores and classify reviews into positive, negative, or neutral categories. Performance is evaluated using accuracy, precision, recall, and F1-score. Experimental results show that the hybrid model significantly outperforms the baseline lexicon method, achieving near-perfect classification performance. The confusion matrix reveals extremely low misclassification rates, while evaluation metrics exceed 90% across all categories. The convergence curve further demonstrates stable and efficient optimization behavior. Analysis of sentiment score outputs indicates improved sensitivity for both positive and negative expressions, as well as more accurate representation of reviewer intent.
Artikel Perancangan Sistem Pengadaan Distribusi Alat Kebersihan di Kantor Walikota Palembang menggunakan Metode Spiral Muhammad Fakhri Asshofi; Muhammad Faiz Athallah; Rewina Rakha Phelia Paramesti; Zulfah Shabirah; Syawaluddin Boy Rambe Al-Ayyubi; Gading Putra Abdi; Miftahul Falah
Jurnal Media Informatika Vol. 7 No. 4 (2026): Edisi Juli - Agustus
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v7i4.7814

Abstract

The management of procurement and distribution of cleaning equipment in government institutions plays an important role in supporting daily operational activities. However, the manual process currently implemented at the Palembang Mayor’s Office has caused several problems, such as delays in submitting requests, stock recording errors, document loss, and difficulties in monitoring distribution in real time. This study aims to design and develop a web-based Information System for the Procurement and Distribution of Cleaning Equipment using the Spiral Method. The Spiral Method was selected due to its iterative nature, adaptability to changing requirements, and its emphasis on risk analysis at each development stage. The research stages include problem identification, data collection through observation and interviews, system design using UML, implementation using PHP and MySQL, and system testing using the Black Box Testing method. The results indicate that the developed system successfully integrates the processes of request submission, verification, approval, distribution, and reporting into a single integrated platform. System testing shows a functional success rate of 100%, indicating that all features operate according to user requirements. Therefore, the system is expected to improve efficiency, transparency, and accountability in managing the procurement and distribution of cleaning equipment at the Palembang Mayor’s Office.
Perancangan Sistem Informasi Arsip Surat Berbasis RUP Puskesmas Kutaraya Sintia Adely Putri; Nindia Aulia Suvit; Tasya Rinaldy; Satrio Wibowo; Yolanda Aradi; Miftahul Falah
Jurnal Informatika Terpadu Vol 12 No 2 (2026): September, 2026 (On Going)
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v12i2.2787

Abstract

Correspondence management at Puskesmas Kutaraya is still done manually using agenda books and physical archives, leading to administrative issues such as slow information retrieval, recording errors, the risk of document loss, and delays in report preparation. These conditions reduce work efficiency and may affect the quality of healthcare services. This study aims to design and implement an Integrated Correspondence Management Information System (SI-PERMATA) as a digital solution for managing incoming and outgoing letters. The system was developed using the Rational Unified Process (RUP) with an iterative, incremental approach that actively involves users. SI-PERMATA was implemented using Laravel, Filament, and a MySQL database. The main features include digital letter recording, automated outgoing letter generation based on official templates with instant PDF output, structured digital archiving, multi-parameter archive search, role-based access control, and user activity logging. System testing used Black Box Testing and showed that all system functions operated according to user requirements. The implementation results show that the system supports a more structured correspondence administration process, facilitates document retrieval, and minimizes the risk of physical archive loss through integrated digital archiving. Therefore, SI-PERMATA supports more effective, transparent, accountable, and service-oriented administrative governance within the Puskesmas environment.