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Twitter Sentiment Analysis on the Iran-Israel Conflict Using the Naïve Bayes Classification Algorithm Karima, Annisa; Ulya, Athiyatul; Achriadi, Teuku Sukma; Zufia, Anni
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.26093

Abstract

The armed conflict between Iran and Israel, which has attracted global attention, has sparked various public reactions, including from the Indonesian community. Given its potential impact on global social and economic stability, it is important to systematically analyze public perceptions using a sentiment analysis approach. A total of 310 tweets were collected through a crawling process and processed using several preprocessing stages, such as text cleaning, normalization, stopword removal, tokenization, stemming, and translation. Labeling was performed directly using the Naive Bayes algorithm, by comparing three algorithms: Gaussian Naive Bayes, Multinomial Naive Bayes, and Bernoulli Naive Bayes. Performance evaluation was conducted using metrics such as accuracy, precision, recall, and F1-score. The classification results showed that Multinomial Naive Bayes achieved an accuracy of 75.81%, Gaussian Naive Bayes achieved 77.42%, while Bernoulli Naive Bayes achieved 87.1%. Bernoulli Naive Bayes demonstrated superior performance in handling textual data with word frequency representation. This study contributes to strengthening the use of machine learning methods for public opinion analysis on social media, particularly in the context of geopolitical issues. The findings indicate that Bernoulli Naive Bayes is more suitable for classifying public opinion texts compared to the Gaussian and Multinomial variants.
Decision Support System for Land Suitability Assessment of Horticultural Crops of Legume Commodities Using AHP-VIKOR Ilham Sahputra; Rizky Putra Phonna; Natasya Natasya; Annisa Karima; T. Sukma Achriadi Sukiman
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.979

Abstract

This Decision Support System (DSS) is designed to evaluate land suitability for horticultural crops, specifically legumes, using a combination of Analytical Hierarchy Process (AHP) and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) methods. The system aids farmers in determining the appropriate crops based on the available land conditions. The research includes problem identification, literature review, data collection, and system design. The implementation of the AHP-VIKOR methods has proven effective and accurate in providing horticultural crop recommendations. This system adds value to modern and efficient agricultural land management. The research results show that the AHP-VIKOR methods successfully applied in determining the suitability of land for legumes in the areas of Bireun, Bukit Rata, Sawang, and Pesisir Pelabuhan Kreung Geukuh with satisfactory outcomes. Therefore, the AHP-VIKOR methods are considered optimal for weighting criteria and ranking alternatives in selecting land for legume crops
Pengabdian Kepada Masyarakat: Rancang Bangun Sistem Monitoring Kualitas Air pada Kolam Ikan guna Meningkatkan Produktivitas dan Ekonomi Masyarakat Pesisir Ula, Mutammimul; Erliana, Cut Ita; Ulya, Athiyatul; Zulfia, Anni; Karima, Annisa; Sukiman, T Sukma Achriadi
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 9 (2025): November
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i9.3475

Abstract

Pengabdian kepada masyarakat di Desa Pesisir, Kota Lhokseumawe, difokuskan pada penguatan kapasitas petani ikan melalui rancang bangun dan implementasi sistem monitoring kualitas air kolam berbasis digital. Kegiatan ini melibatkan petani ikan lokal dalam pelatihan edukatif-partisipatif, mencakup pemahaman parameter kualitas air, penggunaan sensor digital, dan pemantauan secara real-time. Hasil kegiatan menunjukkan peningkatan pengetahuan dan keterampilan peserta dalam mengelola kolam secara berbasis data, serta kemampuan melakukan intervensi yang tepat untuk menjaga kesehatan ikan dan meningkatkan produktivitas kolam. Selain dampak teknis dan produktivitas, program ini membangun literasi teknologi, respons adaptif terhadap perubahan lingkungan, dan budaya kolaboratif di komunitas pesisir. Hasil pengabdian ini menunjukkan bahwa pendekatan partisipatif berbasis teknologi dapat menjadi model berkelanjutan untuk meningkatkan kesejahteraan sosial-ekonomi, praktik budidaya adaptif, dan transformasi komunitas melalui pemanfaatan teknologi tepat guna.
Pengenalan Teknik Animasi 2D sebagai Upaya Peningkatan Kompetensi Multimedia Siswa SMK Darul Ihsan Aceh Besar Risma, Nurrisma; Nurrizqa; Zulfia, Anni; Karima, Annisa; Ulya, Athiyatul; Sukiman, T. Sukma Achriadi
Jurnal Malikussaleh Mengabdi Vol. 5 No. 1 (2026): Jurnal Malikussaleh Mengabdi, Januari 2026
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v5i1.25429

Abstract

Program pengabdian masyarakat ini bertujuan mengidentifikasi pemahaman awal, mengimplementasikan pelatihan terstruktur, serta mengukur dampak pengenalan teknik animasi dua dimensi terhadap kompetensi multimedia siswa SMK Darul Ihsan Aceh Besar. Metode deskriptif kualitatif diterapkan dengan melibatkan empat puluh partisipan yang mengikuti pelatihan intensif selama lima puluh jam pada Oktober 2022. Materi difokuskan pada penguasaan teknik shape tweening dan motion tweening menggunakan Macromedia Flash 8 melalui pembelajaran berbasis proyek pembuatan animasi transformasi geometris. Hasil menunjukkan peningkatan signifikan dalam penguasaan teknis dan kreativitas peserta, dibuktikan melalui keberhasilan menyelesaikan karya animasi sederhana dengan pemahaman memadai terhadap prinsip timing, spacing, dan transformasi objek. Antusiasme tinggi dan respons positif dari peserta mengindikasikan efektivitas pendekatan pembelajaran praktis dalam membangun kompetensi animasi. Program ini memberikan kontribusi empiris terhadap pengembangan pendidikan vokasi multimedia di Aceh Besar sekaligus membuka peluang kolaborasi berkelanjutan antara perguruan tinggi dan institusi kejuruan untuk menjawab tuntutan industri kreatif kontemporer.
Implementation Of AES Algorithm For Text Message Encryption And Decryption Process Sukiman, T. Sukma Achriadi; Sandy, Cut Lika Mestika; Meiyanti, Rini; Rizal, Reyhan Achmad; Anshari, Said Fadlan
Gameology and Multimedia Expert Vol. 3 No. 1 (2026): Gameology and Multimedia Expert - January 2026
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v3i1.25923

Abstract

In the development of secure digital communication, the Advanced Encryption Standard (AES) algorithm particularly the AES-128 variant plays a crucial role in maintaining the confidentiality and integrity of textual data transmitted over public networks. This study aims to design, implement, and analyze a web application prototype for the encryption and decryption process using the AES-128 algorithm based on the PyCryptodome library in the Python programming language, executed through the Flask framework. The developed system offers a simple user interface that allows users to input encryption keys and text, and obtain results in real time. Strict input length validation is applied to ensure that the cryptographic process runs optimally. Testing results show that AES-128 can be efficiently implemented in a lightweight web server environment, with fast processing time and high accuracy. Although the system uses ECB mode, which has known security weaknesses, the prototype is effective for small-scale text communication needs. This study also recommends further development using CBC mode and authentication features to enhance security.