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All Journal Teknika Journal of Economics, Business, & Accountancy Ventura SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Informatika dan Teknik Elektro Terapan JTT (Jurnal Teknologi Terpadu) Jurnal CoreIT Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Informatika Universitas Pamulang Jurnal Nasional Komputasi dan Teknologi Informasi Krea-TIF: Jurnal Teknik Informatika Jurnal Riset Informatika Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi INFORMASI (Jurnal Informatika dan Sistem Informasi) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika Ideguru: Jurnal Karya Ilmiah Guru Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) SINTA Journal (Science, Technology, and Agricultural) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer J-Intech (Journal of Information and Technology) Jurnal Indonesia Raya Knowbase : International Journal of Knowledge in Database Jurnal Dehasen Mengabdi SATIN - Sains dan Teknologi Informasi Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Teewan Journal Solutions
Muhammad Fikry
Universitas Islam Negeri Sultan Syarif Kasim Riau
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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End-to-End Text-to-Speech for Minangkabau Pariaman Dialect Using Variational Autoencoder with Adversarial Learning (VITS) Fakhrezi, Muhammad Dzaki; Yusra; Muhammad Fikry; Pizaini; Suwanto Sanjaya
Knowbase : International Journal of Knowledge in Database Vol. 5 No. 1 (2025): June 2025
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v5i1.9909

Abstract

Language serves as a medium of human communication to convey ideas, emotions, and information, both orally and in writing. Each language possesses vocabulary and grammar adapted to the local culture. One of the regional languages that enriches Indonesian as the national language is Minangkabau. This language has four main dialects, namely Tanah Datar, Lima Puluh Kota, Agam, and Pesisir. Within the Pesisir dialect, there are several variations, including the Padang Kota, Padang Luar Kota, Painan, Tapan, and Pariaman dialects. This study discusses the application of Text-to-Speech (TTS) technology to the Minangkabau language, specifically the Pariaman dialect, using the Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech (VITS) method. This dialect needs to be preserved to prevent extinction and supported through technological development that broadens its use. The VITS method was chosen because it is capable of producing natural and high-quality speech. The research stages include voice data collection and recording, VITS model training, and speech quality evaluation using the Mean Opinion Score (MOS). The final results show a score of 4.72 out of 5, indicating that the generated speech closely resembles the natural utterances of native speakers. This TTS technology is expected to support the preservation and development of the Minangkabau language in the Pariaman dialect, as well as enhance information accessibility for its speakers.
Klasifikasi Sentimen Terhadap Topik Pindah Ibu Kota Negara Pada Twitter Menggunakan Metode Naïve Bayes Classifier Dermawan, Jozu; Yusra, Yusra; Fikry, Muhammad; Agustian, Surya; Oktavia, Lola
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 3 (2024): Maret 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7475

Abstract

Towards the middle of 2019, President Joko Widodo announced plans to relocate Indonesia's capital city. This caused pros and cons in the community, which were widely observed in various social media. To quickly measure the level of public sentiment towards the policy of moving the National Capital City (IKN), whose construction is already underway, a classification system that has good performance is needed. This research proposes a classification of public sentiment on the topic using the Naïve Bayes Classifier method. The data used in this study amounted to 4000 tweets that have been classified into two classes, namely 2000 positive class data and 2000 negative class data. The purpose of this research is how to apply the Naïve Bayes Classifier method in classifying sentiment on the topic of moving the nation's capital and determine the accuracy level of the method. The application of the Naïve Bayes classification method using TF-IDF features to classify 10% of the data as testing data resulted in an accuracy of 77.00%, for a precision value of 77.06%, recall 77.08% and f1-score of 77.00%. Based on the results achieved, the Naïve Bayes Classifier method is good at text classification tasks, with a fairly good accuracy rate.
Penerapan Metode Support Vector Machine Untuk Analisis Sentimen Pada Komentar Bitcoin Di Aplikasi X Yaskur Bearly Fernandes; Elin Haerani; Fadhilah Syafria; Muhammad Fikry; Lola Oktavia
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.928

Abstract

Social media has become a primary medium for users to express opinions, including those related to Bitcoin, whose fluctuating value often triggers diverse public responses. The large volume of unstructured comments makes manual sentiment analysis inefficient, thereby necessitating an automated approach based on machine learning. This study aims to classify positive and negative sentiments in Bitcoin-related comments on the X platform using the Support Vector Machine (SVM) algorithm with Term Frequency–Inverse Document Frequency (TF-IDF) feature weighting. The dataset consists of 1,750 Indonesian-language comments labeled by three annotators. The data were processed through several preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, and stemming. Model evaluation was conducted using four data split ratios, namely 90:10, 80:20, 70:30, and 60:40. The experimental results indicate that the 90:10 ratio achieved the best performance, with an accuracy of 72.57%, precision of 0.75, recall of 0.73, and an F1-score of 0.67. The SVM model demonstrates strong performance in identifying positive sentiments; however, it is less effective in detecting negative sentiments due to class imbalance in the dataset. As an additional experiment, testing was performed using a balanced dataset obtained through an undersampling process and several SVM kernel types for comparison. The results show that using a balanced dataset leads to more evenly distributed classification performance across sentiment classes, while the linear kernel provides the most stable performance compared to other kernels. Overall, SVM with TF-IDF weighting proves to be an effective approach for sentiment analysis of Bitcoin-related comments on social media.
Analysis of Apache Hadoop Architecture in Supporting Large-Scale Data Processing Muhammad Dhuha, Teuku Nabil; 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.
Application of the K-Nearest Neighbor Method for Hypertension Disease Classification Diqti, Fadillah Fauziah; Khaidar, Al; 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.v5i4.8517

Abstract

Hipertensi merupakan salah satu penyakit tidak menular dengan prevalensi tinggi dan sering disebut sebagai silent killer karena sering tidak menunjukkan gejala. Penelitian ini bertujuan untuk mengklasifikasikan penyakit hipertensi menggunakan metode K-Nearest Neighbor (KNN). Data yang digunakan berjumlah 478 data pasien RSUD H. Sahudin dengan delapan atribut, yaitu usia, tekanan darah sistolik, tekanan darah diastolik, asam urat, kadar glukosa, kolesterol, berat badan, dan tinggi badan. Data dibagi menjadi 70% data latih dan 30% data uji. Hasil pengujian menunjukkan bahwa metode KNN dengan nilai K = 5 menghasilkan tingkat akurasi sebesar 81,25%. Hasil penelitian ini menunjukkan bahwa algoritma KNN efektif digunakan dalam proses klasifikasi penyakit hipertensi dan dapat membantu pengambilan keputusan di bidang kesehatan. 
Development of a Forward Chaining-Based Expert System for Web-Based Initial Screening of Mental Health Disorders Munadila, Aura; Asrianda, Asrianda; Fikry, Muhammad
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.v5i4.8521

Abstract

Kesehatan mental merupakan aspek penting dalam kesejahteraan individu yang memengaruhi kemampuan berpikir, mengelola stres, berinteraksi sosial, serta mengambil keputusan secara efektif. Peningkatan prevalensi gangguan kesehatan mental menuntut adanya solusi berbasis teknologi yang mampu membantu proses skrining dan diagnosis awal secara cepat dan mudah diakses. Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis web menggunakan metode Forward Chaining sebagai mekanisme inferensi dalam melakukan skrining awal gangguan kesehatan mental. Sistem yang dikembangkan mampu mengidentifikasi lima jenis gangguan kesehatan mental, yaitu gangguan kecemasan, serangan panik, Post Traumatic Stress Disorder (PTSD), skizofrenia, dan Obsessive Compulsive Disorder (OCD), berdasarkan 32 gejala yang diperoleh melalui studi literatur dan konsultasi dengan pakar psikologi. Pengujian sistem dilakukan menggunakan metode black-box testing, white-box testing, dan test with known cases. Hasil pengujian menunjukkan tingkat akurasi sebesar 82,14% pada pengujian black-box, serta akurasi 100% pada pengujian white-box dan test with known cases. Hasil penelitian menunjukkan bahwa metode Forward Chaining efektif diterapkan pada sistem pakar berbasis web sebagai alat bantu skrining awal gangguan kesehatan mental.
Development of E-TGA System Using SDLC Waterfall Method at Politeknik Negeri Lhokseumawe Rahmatillah, Siska Yuna; Asrianda, Asrianda; Fikry, Muhammad
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.v5i4.8516

Abstract

Pengelolaan Tugas Akhir di Politeknik Negeri Lhokseumawe masih menghadapi berbagai permasalahan, antara lain proses Administrasi yang belum terintegrasi, penggunaan dokumen fisik, keterbatasan monitoring, serta kesulitan dalam pencarian dan pengelolaan arsip Tugas Akhir. Kondisi tersebut berdampak pada rendahnya efisiensi, transparansi, dan kualitas layanan akademik. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem E-TGA (Elektronik Tugas Akhir) berbasis web sebagai solusi digital dalam pengelolaan Tugas Akhir mahasiswa secara terintegrasi. Metode penelitian yang digunakan adalah Research and Development (RD) dengan pendekatan mixed methods, serta model pengembangan perangkat lunak Software Development Life Cycle (SDLC) menggunakan metode Waterfall. Sistem E-TGA dirancang untuk memfasilitasi penyerahan dokumen Tugas Akhir secara daring, verifikasi dan validasi dokumen oleh petugas perpustakaan, monitoring data oleh dosen pembimbing, serta penyimpanan repository dokumen Tugas Akhir secara digital. Pengujian sistem dilakukan menggunakan metode black box testing untuk memastikan seluruh fungsi berjalan sesuai dengan kebutuhan pengguna. Hasil penelitian menunjukkan bahwa sistem E-TGA mampu meningkatkan efektivitas dan efisiensi proses pengelolaan Tugas Akhir, mengurangi ketergantungan pada dokumen fisik, mempercepat proses verifikasi, serta meningkatkan akurasi pencarian data melalui fitur pencarian berbasis query SQL dengan operator LIKE dan OR. Dengan demikian, sistem E-TGA dapat mendukung transformasi digital layanan akademik dan menjadi solusi pengelolaan Tugas Akhir yang berkelanjutan di Politeknik Negeri Lhokseumawe.
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;
Co-Authors -, Yusra Abdillah, Rahmad Ahadi, Ridho Alwis Nazir Ananda, Nuari Ananda, Silvia Andini, Nanda Angela, Angela Anggraeni . Anggraeni, Ni Ketut Pertiwi Anna Marina Annisa Annisa Asrianda Asrianda Ayu Fransiska Baehaqi Bahari, Bayu Dwi Prasetya Damayanti, Elok Dermawan, Jozu Detha Yurisna Dimas Pratama, Dimas Dinata, Ferdian Arya Diqti, Fadillah Fauziah Eka Pandu Cynthia Eka Pandu Cynthia, Eka Pandu Eko Sumartono, Eko Elin Haerani Elin Haerani Elin Haerani Elvia Budianita Elvina Afriani Fadhilah Syafria Fakhrezi, Muhammad Dzaki Faresya, Natasya Febi Yanto Fitri Insani Fitri Insani Harahap, Nazaruddin Safaat Hasugian, Leonardo Hidayat, Rizki Hutagalung, Yorio Arwandi Wisdom Ibnu Surya Ida Wahyuni Iis Afrianty Inggih Permana Khaidar, Al kurnia, fitra Lestari Handayani Lola Oktavia Lola Oktavia Lutfi, Raihansyah Mardiansyah, M Rizki Maulana, OK Muhammad Majid Mei Lestari, Mei Muhammad Abdillah Muhammad Affandes Muhammad Dhuha, Teuku Nabil Muhammad Iqbal Maulana Muhammad Irsyad Muhammad Ravil Munadila, Aura Naharuddin Naharuddin Nanda Sepriadi Nazir, Alwis Nazruddin Safaat H Ndruru, Arlan Joliansa Nurcholis Sunuyeko, Nurcholis Nurdin Nurdin Nurhapiza, Nurhapiza nuryana nuryana, nuryana Oktavia, Lola Pizaini Pizaini Prananda, Alga Putra, Wahyu Eka Putri Mardatillah Rahma Yunita, Rahma Rahmat Rizki Hidayat Rahmatillah, Siska Yuna Raihansyah, Khananda Ramadanu Putra Reski Mai Candra Rinaldi Syarfianto Ritonga, Sinta Wahyuni Sagala, Ruflica Saputra, Ikhsan Dwi Sayed Omas Tutus Arifta Sayed Sentot Imam Wahjono Siti Ramadhani Sofiah Surya Agustian Suwanto Sanjaya Tarigan, Anggun Kinanti Taufik Hidayat Tiara Dwi Arista Wan Sobri Amin Wirdiani, Putri Syakira Yani, Muhamamd Yani, Susmi Syahfrida Yaskur Bearly Fernandes Yenggi Putra Dinata Yolanda, Khovifah Yossie Yumiati Yuda Zafitra Fadhlan Yulinazira, Ulfa Yusra Yusra Yusra . YUSRA YUSRA Yusra, Yusra Yusriyana, Yusriyana Zukhruf, Muhammad Firmansyah