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All Journal SAMUDERA Infotech Journal Info-Teknik RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi JURIKOM (Jurnal Riset Komputer) Jurnal Informasi dan Teknologi Jurnal Sosial Humaniora Sigli Jatilima : Jurnal Multimedia Dan Teknologi Informasi Infotek : Jurnal Informatika dan Teknologi Jurnal Teknik Informatika (JUTIF) JUTECH : Journal Education and Technology ARRUS Journal of Engineering and Technology Instal : Jurnal Komputer Jurnal Ilmu Komputer dan Informatika TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Information Technology (JINTECH) Jurnal Teknologi Terapan and Sains 4.0 Journal Of Artificial Intelligence And Software Engineering Journal of Innovative and Creativity Journal of Tourism Sciences, Technology and Industry 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 Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) ITEJ (Information Technology Engineering Journals) Jurnal Nasional Komputasi dan Teknologi Informasi
Asrianda Asrianda
Universitas Malikusaleh
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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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
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
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
Pemanfaatan Teknologi Informasi Dikalangan Mahasiswa Universitas Islam Kebangsaan Indonesia Ine Ine Satiannur; Asrianda Asrianda; Muhammad Fikry
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.7069

Abstract

Pemanfaatan teknologi informasi telah menjadi bagian penting dalam proses pembelajaran di perguruan tinggi, terutama setelah meningkatnya penggunaan platform digital dalam mendukung kegiatan akademik mahasiswa. Kondisi tersebut juga terjadi di Universitas Islam Kebangsaan Indonesia (UNIKI), di mana teknologi digunakan untuk membantu akses materi, pengelolaan administrasi, dan komunikasi akademik. Penelitian ini dilakukan untuk melihat bagaimana mahasiswa memanfaatkan teknologi informasi dalam aktivitas pembelajaran serta dampak yang ditimbulkannya. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan melibatkan 120 mahasiswa sebagai responden melalui kuesioner berskala Likert. Hasil analisis menunjukkan bahwa tingkat pemanfaatan teknologi informasi berada pada kategori baik, ditandai dengan penggunaan LMS, Sistem Informasi Akademik, dan media digital pendukung. Pemanfaatan tersebut memberikan pengaruh positif terhadap fleksibilitas belajar dan aksesibilitas informasi, meskipun masih dijumpai hambatan berupa keterbatasan jaringan internet, perangkat, dan literasi digital. Temuan ini menegaskan perlunya penguatan dukungan infrastruktur dan kemampuan digital agar pemanfaatan teknologi dapat berjalan lebih optimal dan berkelanjutan.
Analisis Kesiapan Infrastruktur Teknologi Informasi Rumah Sakit dalam Mendukung Layanan Digital Berdasarkan COBIT 2019 dan ITIL 4 Faresya, Natasya; Fikry, Muhammad; Asrianda, Asrianda
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 9, No 1 (2026): Februari 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10408

Abstract

Abstrak - Transformasi digital di sektor kesehatan mendorong rumah sakit untuk mengimplementasikan berbagai layanan digital guna meningkatkan kualitas pelayanan dan efisiensi operasional. Keberhasilan implementasi layanan digital sangat bergantung pada kesiapan infrastruktur teknologi informasi yang mencakup aspek tata kelola dan manajemen layanan TI. Penelitian ini bertujuan untuk menganalisis kesiapan infrastruktur teknologi informasi dalam mendukung implementasi layanan digital rumah sakit menggunakan kerangka kerja COBIT 2019 dan ITIL 4. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan desain studi kasus, melalui pengumpulan data berupa wawancara, observasi, dan studi dokumentasi. Analisis dilakukan dengan memetakan kondisi eksisting infrastruktur TI rumah sakit terhadap domain dan praktik yang relevan pada COBIT 2019 serta praktik manajemen layanan pada ITIL 4. Hasil penelitian menunjukkan bahwa secara umum infrastruktur teknologi informasi rumah sakit berada pada tingkat kesiapan yang cukup untuk mendukung layanan digital, namun masih terdapat beberapa aspek yang perlu ditingkatkan, khususnya pada pengelolaan layanan, pengendalian risiko, dan penyelarasan antara TI dan kebutuhan bisnis. Penelitian ini diharapkan dapat menjadi acuan bagi manajemen rumah sakit dalam merumuskan strategi peningkatan kesiapan infrastruktur TI secara berkelanjutan.Kata kunci: Kesiapan Infrastruktur TI; Layanan Digital Rumah Sakit; COBIT 2019; ITIL 4; Abstract - Digital transformation in the healthcare sector encourages hospitals to implement various digital services in order to improve service quality and operational efficiency. The success of digital service implementation is highly dependent on the readiness of information technology infrastructure, which includes aspects of IT governance and IT service management. This study aims to analyze the readiness of information technology infrastructure in supporting the implementation of digital hospital services using the COBIT 2019 and ITIL 4 frameworks. This research employs a qualitative approach with a case study design, where data are collected through interviews, observations, and document analysis. The analysis is conducted by mapping the existing conditions of the hospital’s IT infrastructure to the relevant domains of COBIT 2019 and the service management practices of ITIL 4. The results indicate that, in general, the hospital’s information technology infrastructure demonstrates an adequate level of readiness to support digital services. However, several aspects still require improvement, particularly in IT service management, risk control, and alignment between information technology and business needs. This study is expected to serve as a reference for hospital management in formulating strategies to enhance IT infrastructure readiness in a sustainable manner. Keywords: IT Infrastructure Readiness; Digital Hospital Services; COBIT 2019; ITIL 4;
Implementation Of The Adaboost Method On Linear Kernel Svm For Classifying Pip Assistance Recipients At SMP Negeri 2 Kejuruan Muda Muhammad Fahri Al Fikri; Asrianda Asrianda; Zahratul Fitri
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Abstract

Abstract: This study examines the application of the AdaBoost algorithm to a Linear Kernel Support Vector Machine (SVM) for determining student eligibility for the Indonesian Smart Program (PIP) at SMP N 2 Kejuruan Muda. The main objective is to improve the accuracy and fairness of the PIP aid distribution using advanced machine learning techniques. The dataset used comprises 500 student records, which include demographic, academic, and economic factors. The dataset was divided into training and testing sets, with the AdaBoost algorithm applied to enhance the SVM model’s performance. The study found that the SVM model optimized with AdaBoost was able to classify 91 students as eligible for PIP aid, achieving an impressive accuracy rate of 97.85%. Only 2 students were classified as ineligible, representing 2.15% of the total sample. When compared to the standard SVM model, which also classified 91 students as eligible, the key advantage of AdaBoost lies in its ability to handle borderline data more effectively. AdaBoost improves the classification of students whose eligibility was less clear by reinforcing the importance of difficult-to-classify instances. The model’s higher precision on edge cases indicates that AdaBoost offers a significant improvement over traditional SVM models in handling complex classification tasks. This research concludes that incorporating AdaBoost into SVM models provides a more robust and accurate method for determining student eligibility for government aid programs such as PIP. Keywords: AdaBoost, SVM, Indonesian Smart Program, PIP aid, machine learning, student eligibility, classification.
ANALISIS RISIKO DAN PENENTUAN PRIORITAS MITIGASI ASET TEKNOLOGI INFORMASI PADA KOPERASI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Wahdana, Aldi; Asrianda; Fikry, Muhammad
Journal of Information Technology Vol. 7 No. 1 (2026): Februari 2026
Publisher : Prodi Teknologi Informasi UIN Ar-Raniry Bekerjasama dengan Pusat Penelitian dan Penerbitan LP2M Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jintech.v7i1.9511

Abstract

This study aims to analyze risks and determine mitigation priorities for information technology assets at the Melati Civil Servant Cooperative. The Simple Additive Weighting (SAW) method is used to determine mitigation priorities based on four main criteria: risk level, asset criticality, Return on Investment (ROI), and Total Cost of Ownership (TCO). This study involved eight information technology assets used to support the cooperative's daily operational activities. Research data was obtained through structured interviews with cooperative administrators to assess the probability and impact of possible risks, the criticality level of each asset, the cost of asset ownership during its useful life, and the resulting economic benefits. The obtained data was then processed using the SAW method to generate a preference value for each asset. The analysis results show that the Savings and Loans Data asset received the highest preference value of 0.876, making it the main mitigation priority. Furthermore, the Cooperative Member Data and Backup Storage Device assets were ranked next in priority. Based on these results, it can be concluded that the SAW method is able to assist cooperative administrators in determining risk mitigation priorities for information technology assets objectively and efficiently
ANALISIS CLUSTERING DAERAH PRODUKTIVITAS PADI DI KABUPATEN DELI SERDANG MENGGUNAKAN ALGORITMA ISOLATION FOREST Ardi Wirya Indarto; Asrianda; Sujacka Retno
Journal of Information Technology Vol. 7 No. 1 (2026): Februari 2026
Publisher : Prodi Teknologi Informasi UIN Ar-Raniry Bekerjasama dengan Pusat Penelitian dan Penerbitan LP2M Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jintech.v7i1.9617

Abstract

Rice is a major food commodity that plays a vital role in national food security. However, differences in rice productivity levels between regions pose a challenge in formulating targeted agricultural policies. This study aims to analyze and cluster rice productivity areas in Deli Serdang Regency using the Isolation Forest algorithm. The data used are rice productivity data from all sub-districts in Deli Serdang Regency for the period 2020–2024, with variables of planted area, harvested area, production volume, and rice productivity. The analysis process is carried out through a web-based system using the Python programming language with the Streamlit framework. The Isolation Forest algorithm is used for clustering and anomaly detection, while cluster quality is evaluated using the Silhouette Score. The results of the 2024 data analysis show that 22 sub-districts in Deli Serdang Regency are divided into four clusters: a high-productivity cluster of 7 sub-districts (31.82%) with an average productivity above 6.2 tons/ha, a medium-productivity cluster of 4 sub-districts (18.18%) with a productivity of 6.0–6.1 tons/ha, a low-productivity cluster of 7 sub-districts (31.82%) with a productivity of around 5.9–6.0 tons/ha, and an anomalous cluster of 4 sub-districts (18.18%). The results of this clustering are expected to assist local governments in determining policies to increase rice productivity more effectively and based on data.
Classification of Family Hope Program Assistance Recipients Using the C4.5 Algorithm with Z-Score Normalization (Case Study in Atu Lintang District) Siti Wahyuni; Asrianda Asrianda; Sujacka Retno
ITEJ (Information Technology Engineering Journals) Vol. 10 No. 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.207

Abstract

One of the challenges in distributing social assistance is determining recipients who are truly eligible objectively and efficiently. This study develops a classification system for Family Hope Program (PKH) recipients by utilizing the C4.5 algorithm combined with Z-Score normalization to group citizen data into Eligible or Ineligible categories. The data used came from 551 residents of Atu Lintang District and included attributes such as house status, wall type, toilet facilities, occupation, and income. The research stages started from data preprocessing, attribute normalization, training the model, to evaluating its performance through metric such as accuracy, precision, recall, and F1-score. The evaluation results showed that the model achieved an accuracy of 94%, precision 0.96, recall 0.90, and F1-score 0.93 for the Eligible category. Based on the confusion matrix, the model was able to correctly classify 47 Eligible residents and 57 Ineligible residents. Analysis of the attributes showed that occupation was the most influential feature in the classification process. These results prove that the application of the C4.5 algorithm can be applied effectively to build a decision support system in the distribution of social assistance, and provide accurate and easy-to-understand results. This study also opens up opportunities for improving model performance by adding more data and testing with alternative algorithms going forward.
Co-Authors Aidilof, Hafizh Al-Kausar Aidilof, Hafizh Al-Kautsar Amalia, Iklasni Amalia, Wildi Ar Razi Ardi Wirya Indarto Armaya, Devira Yuda Aulia Rachman Azmi, Win Damayanti, Ita Defry Hamdhana Delianda, Anggun Diqti, Fadillah Fauziah Erwanda, Ade Putra Eva Darnila Fadlisyah Fadlisyah Fadlisyah Fajriana Fajriana - - Fajriana Fajriana3 Fajriana, Fajriana Faresya, Natasya Fyanda, Dwi Auji Gunarwan Gunarwan Gunarwan, Gunarwan Hafizh Al Kautsar Aidilof Herman Fithra Herman Mawengkang Husni Husni Ibnu Khaldun Ine Ine Satiannur Jange, Beno Jannah, Rauzatul K. M. Nasution , Mahyuddin Kamaruddin Hasan Kautsar, Al Khaidar, Al Kurniawati Kurniawati Kurniawati Kurniawati Kurniawati Lidya Rosnita Maksal Mina Mardhatillah, Mardhatillah Maryana Maulana, OK Muhammad Majid muhammad al abrour Muhammad Azhari Muhammad Daud Muhammad Fahri Al Fikri Muhammad Fikry Muhammad Fikry Muhammad Fikry Muhammad Fikry Muhammad Fikry - Muhammad Fikry Munadila, Aura Munirul Ula Muqarrabin, Khalis Al Mutammimul Ula Nasrul ZA Nasrul ZA Nasrul ZA, Nasrul Natasya Faresya Nirzalin Nirzalin Nurdin Nurdin Padmono Wibowo Panggabean, Pitra Rahmadani Patmono Wibowo Poltak Sihombing Pratiwi, Dinda Putri, Sri Raihan Rachmat Triandi Tjahjanto Rahayu, Lolia Lusiana Rahmat Hidayat Rahmat Hidayat Rahmat Triandi Rahmatillah, Siska Yuna Raihansyah, Khananda Ramadhani - Ramadhani Rauzana - Rauzana Rauzatul Jannah Razi, Ar Rini Meiyanti Risawandi, Risawandi Rizka Mardiah Putri Buyung Lubis Rozzi Kesuma Dinata Saputri, Rifa Andriani Saumina Saumina Sembiring, Vivi Dista Br Siti Hajar Siti Wahyuni Siti Wahyuni Sujacka Retno Sujacka Retno Sujacka Retno Sylva Putri Utari Taufiq Taufiq Teuku Ferynanda Ramadhan Teuku Nabil Muhammad Dhuha Utari, Sylva Putri Wahdana, Aldi Wibowo, Patmono Wildi Amalia Winaldi Ken Aulia Yesy Afrillia ZA , Nasrul Zahratul Fitri Zahratul Fitri, Zahratul Zulfadl, Zulfadl Zulfadli Zulfadli Zulfadli Zulfadli Zulfadli