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All Journal SAMUDERA Infotech Journal 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) 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) Journal Of Artificial Intelligence And Software Engineering 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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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
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;
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.
Penentuan Kualitas Sistem Informasi Tugas Akhir Menggunakan Metode McCall Asrianda Asrianda
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 2 No. 2 (2018): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2018
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v2i2.1017

Abstract

Tugas akhir memberikan kemampuan kepada mahasiswa untuk mengaplikasi teori yang didapatkan di perkuliahan mulai dari mata kuliah dasar sampai dengan matakuliah praktikum.Nilai Tugas Akhir mahasiswa merupakanbagian nilai dari suatu matakuliah yang diwajibkan terhadap mahasiswa.TugasAkhir mempunyai bobot yang cukup besar didalam penilaian, selain itu tugasakhir dapat dijadikan gambaran oleh seorang mahasiswa tentang aplikasi teoriyang dibutuhkan dilapangan.Pelayanan Tugas akhir yang baik dan cepat, adalahsuatu aspek yang harus dipenuhi untuk menunjang keberhasilan dari kegiatantugas akhir mahasiswa.Pengukuran perangkat lunak ada beberapa faktormenunjukkan atribut kualitas produk dilihat dari sudut pandangpengguna.Sedangkan adalah parameter kualitas produk dilihat dari sudutpandang perangkat lunaknya sendiri.Uji kualitas sistem informasi tugas akhirmahasiswa fakutas teknik menggunakan metode McCall dengan melibatkan 25koresponden secara acak.Setelah melakukan pengukuran kualitas denganmenggunakan metode McCall.maka didapatkan hasil bahwa Sistem InformasiTugas Akhir Mahasiswa Fakultas Teknik mendapatkan nilai total kualitas 74.18dengan predikat baik. Kata kunci : tugas akhir, McCall, kualitas, pengukuran, sistem informasi 
Analysis of Apache Hadoop Architecture in Supporting Large-Scale Data Processing Teuku Nabil Muhammad Dhuha; Asrianda; Muhammad Fikry
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.711

Abstract

The rapid development of information technology has led to the exponential growth of data generated from various sectors, such as healthcare services, social media, information systems, and other digital activities. This condition has given rise to the concept of big data, which cannot be optimally processed using conventional data processing technologies. Therefore, distributed computing platforms are required to efficiently handle large-scale data storage and processing. Apache Hadoop is one of the widely used big data technologies due to its distributed architecture that supports scalability, parallel processing, and fault tolerance. This study aims to analyze the architecture of Apache Hadoop and explain the role of each of its components in supporting large-scale data processing. The research method employed is a qualitative literature study, conducted through the review of books, scientific articles, and related publications on Hadoop. The results indicate that Hadoop consists of three main components: the Hadoop Distributed File System as a distributed storage system, MapReduce as a programming model for parallel data processing, and Yet Another Resource Negotiator, which functions in cluster resource management and scheduling. The integration of these components enables Hadoop to manage large-scale data in a reliable and distributed manner. However, Hadoop has limitations related to its batch-based processing model, which is less suitable for real-time processing needs, thus requiring consideration of complementary technologies according to application requirements.
PENERAPAN METODE ALGORITMA SVM (SUPPORT VECTOR MACHINE) UNTUK KLASIFIKASI PENDERITA PENYAKIT GASTROESOPHAGEAL REFLUX DISEASE: APPLICATION OF SVM (SUPPORT VECTOR MACHINE) ALGORITHM METHOD FOR CLASSIFICATION OF GASTROESOPHAGEAL REFLUX DISEASE PATIENTS Teuku Ferynanda Ramadhan; Asrianda; Risawandi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6466

Abstract

Gastroesophageal Reflux Disease (GERD) is a digestive disorder caused by the backflow of stomach acid into the esophagus, with symptoms that often resemble those of other conditions, making diagnosis challenging. This study aims to implement the Support Vector Machine (SVM) algorithm to develop a classification system for GERD patients based on clinical symptom data, including chest pain, swallowing disorders, regurgitation, and others. The research was conducted at Sakinah General Hospital in Lhokseumawe City using patient data from the 2020–2023 period. The classification system was designed through a series of stages including data preprocessing, normalization, and the application of a polynomial kernel in the SVM algorithm. The results demonstrate that the SVM algorithm achieved an accuracy of 82.5% and an F1-score of 58.3%, indicating a strong classification performance in distinguishing between GERD and non-GERD patients, and suggesting its potential as an effective diagnostic support tool for medical professionals.
Analisis Pengaruh Kualitas Portal Akademik Universitas Malikussaleh terhadap Kepuasan Pengguna Menggunakan System Usability Scale (SUS) Maksal Mina; Nurdin; Asrianda
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.34891

Abstract

The Malikussaleh University Academic Portal is a web-based information system used to support various academic services, such as filling out the Study Plan Card (KRS), accessing the Study Result Card (KHS), class schedules, and other academic administrative information. However, several obstacles are still encountered in its use, such as less than optimal access speed, an interface that is not fully responsive, and navigation that is considered less intuitive by users. This study aims to evaluate the usability level of the Malikussaleh University Academic Portal using the System Usability Scale (SUS) method. The study used a quantitative approach with data collection techniques in the form of observation, interviews, literature studies, and distribution of SUS questionnaires to 50 active Malikussaleh University students selected using a purposive sampling technique. Data were analyzed based on the SUS calculation procedure which produces a usability score in the range of 0–100. The results showed that the Malikussaleh University Academic Portal obtained an average SUS score of 74.5. Based on the SUS interpretation, this value is included in the Good category, is on the Grade Scale B, and is included in the Acceptability Range Acceptable. These results indicate that the academic portal has a good level of usability and is acceptable to users. However, several aspects still need improvement, particularly system access speed, responsiveness on mobile devices, and simplified interface navigation. This research is expected to provide evaluation material for system administrators in improving the quality of digital-based academic services at Malikussaleh University.
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 Delianda, Anggun Diqti, Fadillah Fauziah Erwanda, Ade Putra Eva Darnila Fadlisyah Fajriana Fajriana, Fajriana Faresya, Natasya Fyanda, Dwi Auji Gunarwan, Gunarwan Herman Fithra Herman Mawengkang Ibnu Khaldun Jange, Beno Jannah, Rauzatul K. M. Nasution , Mahyuddin Kamaruddin Hasan Kautsar, Al Khaidar, Al Kurniawati Lidya Rosnita Maksal Mina Mardhatillah, Mardhatillah Maryana Maulana, OK Muhammad Majid Muhammad Azhari Muhammad Fikry Muhammad Fikry Munadila, Aura Muqarrabin, Khalis Al Mutammimul Ula Nasrul ZA Nasrul ZA, Nasrul Nurdin Nurdin 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 Rauzatul Jannah Razi, Ar Rini Meiyanti Risawandi, Risawandi Rozzi Kesuma Dinata Saputri, Rifa Andriani Sembiring, Vivi Dista Br Siti Wahyuni Sujacka Retno Teuku Ferynanda Ramadhan Teuku Nabil Muhammad Dhuha Utari, Sylva Putri Wahdana, Aldi Wibowo, Patmono Wildi Amalia Yesy Afrillia ZA , Nasrul Zahratul Fitri, Zahratul Zulfadl, Zulfadl Zulfadli Zulfadli Zulfadli Zulfadli Zulfadli