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All Journal SAMUDERA Infotech Journal ITEj (Information Technology Engineering Journals) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENDIDIKAN TAMBUSAI JURIKOM (Jurnal Riset Komputer) Jurnal Informasi dan Teknologi Jurnal Sosial Humaniora Sigli Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika (JUTIF) International Journal of Engineering, Science and Information Technology JUTECH : Journal Education and Technology ARRUS Journal of Engineering and Technology Instal : Jurnal Komputer Jurnal Ilmu Komputer dan Informatika Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Journal Of Artificial Intelligence And Software Engineering Journal of Innovative and Creativity Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Jurnal Solusi Masyarakat (JSM) INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Teewan Journal Solutions
Asrianda Asrianda
Teknik Informatika Universitas Malikussaleh
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Public Sentiment Analysis on the November 2025 Flood Disaster in Aceh Using Natural Language Processing and Lexicon-Based Approach Erwanda, Ade Putra; Khaidar, Al; Asrianda, Asrianda; Fikry, Muhammad; Khaldun, Ibnu
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember (On Progress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8481

Abstract

Bencana banjir yang melanda Provinsi Aceh pada November 2025 merupakan salah satu bencana hidrometeorologi besar yang berdampak luas terhadap kehidupan masyarakat. Banjir terjadi di 16 kabupaten/kota dan mengakibatkan hampir 120 ribu jiwa terdampak, puluhan ribu warga mengungsi, serta kerusakan signifikan pada permukiman dan infrastruktur. Peristiwa ini memicu respons publik yang masif di media sosial, khususnya Instagram. Penelitian ini bertujuan untuk menganalisis sentimen respons masyarakat terhadap bencana tersebut menggunakan pendekatan Natural Language Processing (NLP) berbasis lexicon. Data diperoleh melalui proses data crawling terhadap 2.790 komentar Instagram, yang selanjutnya diproses melalui tahapan text cleaning, case folding, tokenization, stopword removal, dan stemming. Hasil analisis menunjukkan dominasi sentimen positif sebesar 62,51%, diikuti sentimen netral 24,98% dan negatif 12,51%. Temuan ini menunjukkan adanya apresiasi, harapan, serta kritik masyarakat terhadap penanganan bencana, dan dapat menjadi bahan evaluasi bagi pemangku kebijakan dalam meningkatkan strategi penanganan dan komunikasi bencana berbasis data.
Implementation of Double Exponential Smoothing to Forecast the Number of Outpatient Visits at Arun Hospital Sembiring, Vivi Dista Br; Fikry, Muhammad; Asrianda, Asrianda
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember (On Progress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8497

Abstract

Seiring peningkatan kesadaran masyarakat mengenai kesehatan bisa meningkatkan angka kunjungan di rumah sakit. Pasien yang berkunjung sangat bervariasi serta tidak bisa diprediksi tentu mengakibatkan rencana yang dibangun tidak efektif. Hal ini harus diantisipasi dengan memperkirakan atau memprediksi jumlah pasien yang berkunjung. Oleh karena itu, dalam penelitian ini dibangun sistem perkiraan jumlah kunjungan pasien rawat jalan dengan metode Double Exponential Smoothing. Penelitian ini dilakukan pada Rumah Sakit Arun serta data yang diambil dari 11 poliklinik yang ada pada rumah sakit dari Januari tahun 2020 hingga Desember 2023. Hasil dari penelitian ini ialah perkiraan pada poliklinik hemodialisis sebanyak 9 orang, poliklinik bedah 34 orang, poliklinik gigi dan mulut 6 orang, poliklinik jiwa 24 orang, poliklinik kesehatan anak 28 orang, poliklinik mata 24 orang, poliklinik obgyn ibu hamil 6 orang, poliklinik orthopedi 13 orang, poliklinik paru 34 orang, poliklinik penyakit dalam 39 orang, dan terakhir poliklinik syaraf 46 orang. Dengan hasil perhitungan rata-rata persentase error pada poliklinik hemodialisis selama setahun yaitu 0,90%.
Development of an Information Website as a Publication Medium for the Malikussaleh Airport Organizing Unit in Lhokseumawe Raihansyah, Khananda; Asrianda; Muhammad Fikry
Teewan Journal Solutions Vol. 2 No. 4 (2025): Desember
Publisher : Teewan Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/c8sdmf21

Abstract

Malikussaleh Airport currently uses social media such as Instagram to share information, which results in limited information accessibility for visitors regarding news, profiles, and airport activities. This study aimed to develop a website-based information system to facilitate employees in disseminating information and ease public access to updated airport news. The system was built using PHP programming language, MySQL database, and designed through Data Flow Diagrams (DFD). The implementation produced an informative and accessible platform that allows the airport management to provide transparent news, flight updates, and activity galleries. The results showed that the website effectively improved the information distribution process compared to previous social media-only methods.
Comparative Performance Analysis of Traditional (SFQ, PCQ) and Modern (FQ-CoDel, CAKE) Queuing Algorithms on MikroTik RouterOS v7 for Broadband Network QoS Optimization Maulana, OK Muhammad Majid; Asrianda; Muhammad Fikry
Teewan Journal Solutions Vol. 2 No. 4 (2025): Desember
Publisher : Teewan Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/8vbsxe71

Abstract

Bufferbloat in broadband networks often leads to high latency, which degrades the Quality of Experience (QoE), particularly for time-sensitive activities. MikroTik RouterOS v7 introduces modern Active Queue Management (AQM) algorithms, such as FQ-CoDel and CAKE, which are claimed to outperform traditional algorithms like SFQ and PCQ. This study aims to analyze and compare the performance of these four queuing algorithms in a single-link gateway scenario on a 35 Mbps internet service. The research methodology employs a quantitative experimental approach by saturating the network with heavy traffic. Quality of Service (QoS) parameters including throughput, delay, jitter, and packet loss—were measured based on TIPHON standards. The results indicate that modern algorithms maintain latency stability under full load significantly better than traditional ones. This study recommends the use of FQ-CoDel for resource efficiency and CAKE for maximum quality
Co-Authors Aidilof, Hafizh Al Kautsar Aidilof, Hafizh Al-Kausar Aidilof, Hafizh Al-Kautsar Alvesaldy, Alvin Amalia, Iklasni Amalia, Wildi Ar Razi Armaya, Devira Yuda Asmaul Husna Azmi, Win Damayanti, Ita Delianda, Anggun Dewi, Tursina Diqti, Fadillah Fauziah Erwanda, Ade Putra Eva Darnila Fadlisyah Fajriana, Fajriana Fyanda, Dwi Auji Gunarwan, Gunarwan Herman Fithra Herman Mawengkang Ibnu Khaldun Ine Satiannur, Ine Jange, Beno Jannah, Rauzatul K. M. Nasution , Mahyuddin Kamaruddin Hasan Kautsar, Al Khaidar, Al Kurniawati Lidya Rosnita Mardhatillah, Mardhatillah Maryana Maulana, OK Muhammad Majid Muhammad Azhari Muhammad Dhuha, Teuku Nabil Muhammad Fikry Munadila, Aura Muqarrabin, Khalis Al Mutammimul Ula Nasrul ZA Nasrul ZA, Nasrul Panggabean, Pitra Rahmadani Poltak Sihombing Pratiwi, Dinda Putri, Sri Raihan Rachman, Aulia Rachmat Triandi Tjahjanto Rahayu, Lolia Lusiana Rahmat Hidayat Rahmat Hidayat Rahmat Triandi Rahmatillah, Siska Yuna Raihansyah, Khananda Rauzatul Jannah Razi, Ar Rini Meiyanti Risawandi, Risawandi Rozzi Kesuma Dinata Saputri, Rifa Andriani Sembiring, Vivi Dista Br Siti Hajar Siti Wahyuni Sujacka Retno Utari, Sylva Putri Wibowo, Patmono Yesy Afrillia ZA , Nasrul Zahratul Fitri, Zahratul Zulfadl, Zulfadl Zulfadli Zulfadli Zulfadli Zulfadli Zulfadli