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All Journal Jurnal Ilmiah Ekonomi dan Bisnis Al Ishlah Jurnal Pendidikan Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini IT JOURNAL RESEARCH AND DEVELOPMENT INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL TEKNOLOGI DAN OPEN SOURCE Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat Multidisiplin Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Jurnal Ekonomika Dan Bisnis J-COSCIS : Journal of Computer Science Community Service CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Indonesian Research Journal on Education JURNAL KOMUNITAS SAINS MANAJEMEN SATIN - Sains dan Teknologi Informasi INOVTEK Polbeng - Seri Informatika Proceedings of the Siliwangi Annual International Conference on Guidance and Counselling
Nurliana Nasution, Nurliana
Universitas Lancang Kuning
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HEART DISEASE RISK PREDICTION: EVALUATING MACHINE LEARNING ALGORITHMS WITH FEATURE REDUCTION USING LDA Nasution, Nurliana; Nasution, Feldiansyah; Hasan, Mhd Arief
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3498

Abstract

Abstract: Heart disease is one of the leading causes of death worldwide, making early detection and accurate diagnosis crucial for reducing mortality rates and improving patient outcomes. This study aims to evaluate the effectiveness of four machine learning algorithms—Logistic Regression, Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—in predicting heart disease, with a focus on enhancing model performance using Linear Discriminant Analysis (LDA) for feature reduction. Among the models, SVM achieved the highest accuracy at 84.24%, followed by Logistic Regression at 83.70%. Although Random Forest and KNN showed lower accuracies, all models benefited from LDA's dimensionality reduction. This study suggests that SVM, combined with LDA, offers an optimal solution for early and accurate heart disease prediction in the healthcare industry.             Keywords: feature reduction; heart disease; linear discriminant analysis (LDA); machine learning; SVM  Abstrak: Penyakit jantung merupakan salah satu penyebab utama kematian di seluruh dunia, sehingga deteksi dini dan diagnosis yang akurat sangat penting untuk menurunkan angka kematian dan meningkatkan hasil pengobatan pasien. Penelitian ini bertujuan untuk mengevaluasi efektivitas empat algoritma pembelajaran mesin—Regresi Logistik, Random Forest, Support Vector Machine (SVM), dan K-Nearest Neighbors (KNN)—dalam memprediksi penyakit jantung, dengan fokus pada peningkatan kinerja model menggunakan Analisis Diskriminan Linear (LDA) untuk reduksi fitur. Di antara model yang diuji, SVM mencapai akurasi tertinggi sebesar 84,24%, diikuti oleh Regresi Logistik dengan 83,70%. Meskipun Random Forest dan KNN menunjukkan akurasi yang lebih rendah, semua model memperoleh manfaat dari reduksi dimensi yang diberikan oleh LDA. Studi ini menunjukkan bahwa SVM yang dikombinasikan dengan LDA merupakan solusi optimal untuk prediksi penyakit jantung secara dini dan akurat dalam industri kesehatan. Kata kunci: linear discriminant analysis (LDA);  machine learning; penyakit jantung; reduksi fitur; SVM.
Pelatihan Pengembangan Game Dengan Unreal Engine Sebagai Solusi Peningkatan Keterampilan Teknologi di SMK N 8 Pekanbaru Nasution, Nurliana; Nasution, Feldiansyah; Hasan, Mhd Arief; Fajar, Muhammad Al
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 1 (2025): Januari 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i1.3519

Abstract

SMK N 8 Pekanbaru faces challenges in preparing students to enter the rapidly growing game industry. Students require specialized skills in game development, such as programming, graphic design, and animation, which are not adequately covered in the school’s current training programs. To address this issue, the community service team proposed game development training using Unreal Engine, a beginner-friendly game engine with exceptional visual capabilities. The training was conducted in several stages, including material preparation, hands-on practice, and evaluation. The material was tailored to align with the student's comprehension levels, while the hands-on sessions allowed participants to directly practice game creation with intensive guidance from the team. Evaluation was conducted using pre-tests and post-tests to measure the participants' improvement. Additionally, the training aimed to help students explore career opportunities in the game industry and enhance their technical skills to meet industry demands. With the support of a developer community and the ease of use of Unreal Engine, students can continue to learn and refine their skills in the future. This program is expected to have a positive impact by equipping students with relevant job-market skills and enabling them to create new opportunities in the game industry.Keywords: game development; technical skills; training; unreal engine; vocational school students Abstrak: SMK N 8 Pekanbaru menghadapi tantangan dalam mempersiapkan siswa untuk memasuki industri game yang berkembang pesat. Siswa membutuhkan keterampilan khusus dalam pengembangan game, seperti pemrograman, desain grafis, dan animasi, yang belum tercakup secara memadai dalam pelatihan sekolah. Untuk mengatasi masalah ini, tim pengabdian masyarakat mengusulkan pelatihan pembuatan game menggunakan Unreal Engine, sebuah game engine yang ramah pemula namun memiliki kemampuan visual yang luar biasa. Pelatihan ini dilakukan melalui beberapa tahapan, yaitu penyusunan materi, praktik langsung, dan evaluasi. Penyusunan materi dirancang untuk memastikan kelayakan dan kesesuaian dengan tingkat pemahaman siswa. Sesi praktik menggunakan pendekatan hands-on yang memungkinkan siswa langsung mempraktikkan pembuatan game dengan bimbingan intensif dari tim. Evaluasi dilakukan melalui pre-test dan post-test untuk mengukur peningkatan pemahaman peserta. Selain itu, pelatihan ini bertujuan untuk membantu siswa membuka peluang karier di industri game dan meningkatkan keterampilan teknis mereka sesuai kebutuhan industri. Dengan dukungan komunitas pengembang dan kemudahan penggunaan Unreal Engine, siswa dapat terus belajar dan mengembangkan keterampilan mereka di masa depan. Program ini diharapkan dapat memberikan dampak positif dalam membekali siswa dengan keterampilan yang relevan untuk dunia kerja dan membantu mereka menciptakan peluang baru dalam industri game.Kata kunci: keterampilan teknis; pelatihan;  pengembangan game; siswa SMK; unreal engine
IMPLEMENTASI SISTEM INFORMASI E-MAGAZINE PADA KANTOR DESA RANTAU BERTUAH KECAMATAN MINAS BERBASIS WEB Martahan, Sutan; Nasution, Nurliana
J-Com (Journal of Computer) Vol. 3 No. 2 (2023): Juli 2023
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v3i2.2465

Abstract

Abstract: Information Technology and Computers are currently experiencing very rapid development, both in terms of hardware and software, the website is a tool for disseminating information and communication among the public, while the internet, which can be accessed via smartphones, can provide a lot of information without the need for money and time. Magazine is a medium that contains content and images packaged in an attractive and simple way to make it easier to understand concepts, magazines also contain educational information that can add insight Waterfall is a sequential development model, which is systematic and sequential in building a device software, and the manufacturing process follows the flow from analysis, design, code, testing and maintenance. Keywords: information system; e-magazine; modeling  Abstrak : Teknologi Informasi dan Komputer saat ini mengalami perkembangan yang sangat pesat, baik dari segi hardware maupun software, website adalah alat sebagai penyebar informasi dan komunikasi di kalangan masyarakat sedangkan internet yang disudah bisa diakses melalui smartphone ini dapat menyajikan banyak informasi tanpa memerlukan biaya dan waktu E-Magazine merupakan media yang berisi konten-konten dan gambar dikemas secara menarik dan ditampilkan dengan sederhana agar memudahkan dalam memahami konsep, majalah juga berisi informasi-informasi edukatif yang dapat menambah wawasan Waterfall merupakan suatu model pengembangan secara sekuensial, yang bersifat sistematis dan berurutan dalam membangun sebuah perangkat lunak, dan Proses pembuatannya mengikuti alur dari mulai analisis, desain, kode, pengujian dan pemeliharaaHasil analisis dapat memudahkan kita dalam memahami masalah dan dapat mengidentifikasi, mengevaluasi suatu permasalahan dan hambatan yang terjadi untuk mendapatkan kebutuhan yang diharapkan dari suatu sistem sehingga dapat diusulkan perbaikan Kata Kunci: sistem informasi; e-magazine; pemodelan 
ANALISIS SENTIMEN ULASAN PENGGUNA PADA GAME ROBLOX DENGAN METODE SUPPORT VECTOR MACHINE DAN NAIVE BAYES Alkindi, Aditia Fikri; Nasution, Nurliana
J-Com (Journal of Computer) Vol. 4 No. 2 (2024): JULI 2024
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v4i2.3319

Abstract

Tujuan penelitian ini adalah untuk mengetahui cara menganalisis sentimen dari ulasan pengguna pada game Roblox dan untuk mengetahui hasil perbandingan performa klasifikasi dengan menggunakan metode Support Vector Machine Dan Naive Bayes dalam menganalisis sentimen ulasan pengguna pada game Roblox. Data yang digunakan pada penelitian ini berjumlah sebanyak 10000 record data ulasan yang di ambil pada tanggal 15 Juni 2024. Hasil yang di peroleh dalam menganalisis sentimen data ulasan pada aplikasi Roblox cenderung mendapatkan sentimen positif dengan persentase 65,06% sedangkan untuk sentimen negatif dengan persentase 34,94%. Support Vector Machine merupakan algoritma terbaik dalam menganalisis sentimen data ulasan pada aplikasi Roblox dengan tingkat akurasi yang paling tinggi pada perbandingan data 90:10 yaitu 90 %, untuk precision, recall, dan f1-score yang dihasilkan pada sentimen positif yaitu 88%, 85%, dan 86%, sedangkan pada sentimen negatif adalah 91%, 93%, dan 92%. Algoritma Naïve Bayes mendapatkan tingkat akurasi yang paling tinggi pada perbandingan data 90:10 yaitu 72,4%, untuk precision, recall, dan f1-score yang dihasilkan pada sentimen positif yaitu 88%, 34%, dan 49%, sedangkan pada sentimen negatif adalah 70%, 97%, dan 81%.
RANCANG BANGUN SISTEM INFORMASI PUSKESMAS UMBAN SARI BERBASIS WEB Iskandar, Deni; Nasution, Nurliana; Zamsuri, Ahmad
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): FEBRUARY 2024
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v4i1.3054

Abstract

Abstract: Umban Sari Community Health Center still uses handwriting to process data on young children, causing reports to be lost or damaged. In general, community health centers face various obstacles in recording and reporting. Based on the results of the interview, there were various obstacles related to recording and reporting the results of activities, namely the handwritten health center information system and the reporting warehouse which was quite messy and cramped. This system is a prototype method. Prototyping is a systematic development method that uses an approach to build a program quickly and gradually so that users can launch it immediately. Data from field studies were collected by researchers directly from the Umban Sari Community Health Center, Rumbai Regency. The author conducted interviews to obtain information about the process carried out, observations to confirm and perfect the material, and obtain direct information about the research. The aim of the system analysis stage is to create a basis for creating or improving existing systems. The results of the analysis can be used to create or modify a more effective and efficient system.Keywords: Health Center, Information System, Modeling Abstrak : Puskesmas Umban Sari masih menggunakan tulisan tangan dalam mengolah data anak kecil sehingga menyebabkan laporan hilang atau rusak. Secara umum, puskesmas menghadapi berbagai hambatan dalam pencatatan dan pelaporan. Berdasarkan hasil wawancara, terdapat berbagai kendala terkait pencatatan dan pelaporan hasil kegiatan, yaitu sistem informasi puskesmas yang ditulis tangan dan gudang pelaporan yang cukup berantakan dan sempit. sistem ini adalah metode prototipe. Prototyping adalah metode pengembangan sistematis yang menggunakan pendekatan untuk membangun sebuah program secara cepat dan bertahap sehingga pengguna dapat segera mengevaluasinya. Data hasil studi lapangan dikumpulkan oleh peneliti langsung dari Puskesmas Umban Sari Kabupaten Rumbai. Penulis melakukan wawancara untuk memperoleh informasi mengenai proses yang dilakukan, observasi untuk mengkonfirmasi dan menyempurnakan materi, serta memperoleh informasi langsung mengenai penelitian.Tujuan dari tahap analisis sistem adalah untuk membuat landasan dalam membuat atau memperbaiki sistem yang sudah ada. Hasil analisis dapat digunakan untuk membuat atau memodifikasi sistem yang lebih efektif dan efisien.Kata Kunci: Pemodelan, Puskesmas, Sistem Informasi
Augmented reality: as a guidance and counseling tool for early childhood Nasution, Nurliana
Proceedings of Siliwangi Annual International Conference on Guidance and Counselling Vol. 1 No. 1 (2022): SAICGC, Volume 1 (December 2022)
Publisher : Academia Edu Cendekia Indonesia (AEDUCIA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64420/saicgc.v1i1.21

Abstract

Learning in early childhood education institutions uses the method of playing while learning. Likewise in carrying out the guidance and counseling process, early childhood must be in a pleasant atmosphere. Augmented reality is one of the media that can be used as a play tool by children to achieve the goals of guidance and counseling carried out by the teacher. This study aims to design an augmented reality application that can be used by early childhood to describe real conditions for children to recover from trauma or excessive anxiety about an object. The research methodology used is development research with research stages namely need assessment, preparation of an augmented reality information system, conceptual and operational trials in three PAUDs in Pekanbaru, Riau, Indonesia. this research methodology describes the stages of the methodology applied in conducting research with reference to the software development cycle in the form of a waterfall model. The result is an augmented reality application that supports the guidance and counseling process in early childhood education institutions.
ANALISIS SENTIMEN PERUNDUNGAN TERHADAP GURU DENGAN MENGGUNAKAN METODE SUPPORT VECTOR MACHINE DAN NAÏVE BAYES Zamsuri, Ahmad; Nasution, Nurliana; Susandri, Susandri; Bimby, Novia Putri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4916

Abstract

Abstract: This study discusses sentiment analysis of bullying experienced by teachers on social media. The research employs the Support vector machine (SVM) and Naïve Bayes methods to classify sentiments into positive, negative, or neutral categories. The data were collected from various social media platforms and analyzed using text mining techniques. The results show that the SVM method achieved a higher accuracy rate compared to Naïve Bayes in detecting negative sentiments related to bullying toward teachers. These findings contribute to a better understanding of digital bullying patterns targeting educators and provide a foundation for developing more effective policies to address bullying cases in the educational environment. Keywords: Sentiment Analysis, Bullying, Teachers, Support Vector Machine, Naïve Bayes, Text Mining. Abstrak: Penelitian ini membahas analisis sentimen terhadap perundungan yang dialami oleh guru di media sosial. penelitian ini menggunakan metode support vector machine (svm) dan naïve bayes untuk mengklasifikasikan sentimen menjadi positif, negatif, atau netral. data yang digunakan berasal dari berbagai platform media sosial dan dianalisis menggunakan teknik text mining. hasil penelitian menunjukkan bahwa metode svm memiliki tingkat akurasi yang lebih tinggi dibandingkan dengan naïve bayes dalam mendeteksi sentimen negatif terkait perundungan terhadap guru. temuan ini dapat membantu dalam memahami pola perundungan digital terhadap tenaga pendidik serta memberikan dasar untuk kebijakan yang lebih efektif dalam menangani kasus perundungan di dunia pendidikan. Kata Kunci: Analisis Sentimen, Perundungan, Guru, Support Vector Machine, Naïve Bayes, Text Mining.
Optimization of The Use of Togaf Adm in The Design of Information Systems For Islamic Boarding Schools Nasution, Nurliana; Hasan, Mhd Arief
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1910

Abstract

Pesantren is an educational institution that stands traditionally where students live in one place to live with each other and study under the guidance of a teacher who is also known as a Kiai. For its implementation, many things must be managed by a boarding school, starting from student registration, student placement, student learning, and evaluation of student learning at the boarding school. So far, there is no adequate system for all of these administrative needs. The purpose of this study is to build an information system framework for Islamic boarding schools using the TOGAF FRAMEWORK. Miftahul Huda Islamic Boarding School Pekanbaru City uses the TOGAF-ADM methodology as the standard tool used. The use of TOGAF can bring a consistent enterprise architecture, based on stakeholder requirements, and bring some considerations. . In designing this blueprint, it will rely on the work steps of the TOGAF ADM Framework, in which this enterprise architecture framework is divided into (four) categories, namely: business architecture, data, applications, and technology.
Application of Sales Forecasting Using The Least Square Method in Web-Based Information Systems Nasution, Nurliana; Sitompul, Dadang Rukmana; Walhidayat, Walhidayat
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.2580

Abstract

Technology has become an important role in life, causing the role of computers to be indispensable in various aspects. The presence of technology today is not only in the field of technology but computational methods are also developing. The use of the internet in the aspect of E-commerce (electronic commerce) also plays an important role in the business process cycle. Sale is a major aspect of supporting survival in an industry. Because the high level of sales in an industry/service can compensate let alone provide benefits for the industry. The LEAST Square method is used as an analytical tool for forecasting / predicting sales at the ABDS Store Pekanbaru store. The level of accuracy of the calculation will have an impact on the availability of stock in the store. This method is often used in finding the best parameters of a mathematical model that describes observational data. By using the least squares method, it is expected that the resulting mathematical model can provide a better description of the observation data.
Synthetic Minority Oversampling Technique for Efforts to Improve Imbalanced Data in Classification of Lettuce Plant Diseases Nasution, Nurliana; Feldiansyah, Feldiansyah; Zamsuri, Ahmad; Hasan, Mhd Arief
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.2883

Abstract

In this study we classified lettuce plant diseases. These plant diseases are available in the form of images that have been converted in .csv format to be classified. These plant diseases are available in the form of images that have been converted in .csv format to be classified. Image These plant diseases have been divided into several classes or categories. Then we determine the features of each row and column of the dataset. Each line in the CSV file represents one image, and each column represents one feature Each line in the CSV file represents one image, and each column represents one feature. Then a label is made for each line in the CSV file, namely the class or category where the images are grouped. Thus, so that we get datasets that are ready to be processed with machine learning. However, in processing the dataset, we get imbalanced data. So we added the Synthetic Minority Over-sampling Technique (SMOTE) method to overcome the imbalance that occurs. So that the data can be classified using several algorithms to find the best accuracy.
Co-Authors Adek Irawan Agung Pratama Ahmad Zamsuri, Ahmad Ahmad, Rafik Alfajar, Muhammad Alfanandi, Ridho Alkindi, Aditia Fikri Alwan, Hiba Basim Anto Ariyanto arizal N, arizal Bayu Febriadi, Bayu Bimby, Novia Putri Budi Cahya Dadang Rukmana Sitompul darmayunata, yuvi David Setiawan David Setiawan Deni Iskandar Desnelita, Yenny Erlin Fachreza Akbar Fadhlillah, Il Fajar, Muhammad Al Fajrizal Fajrizal, Fajrizal Feldiansyah Bakri Nasution Feldiansyah Feldiansyah Feldiansyah Feldiansyah Feldiansyah Nasution Feldiansyah, Feldiansyah Fransiskus Zoromi Herlinawati Herlinawati Ilfan Setiawan Jeni Wardi Khairani Djahara, Khairani Laili Suryati Mariza Devega Martahan, Sutan Marwa, Marwa Mhd. Arief Hasan, Mhd. Arief Muhammad Al Fajar MUHAMMAD RIZAL Nasution, Feldiansyah Novendra, Rizki nurhayani lubis Nurli Indra Sari Nurul Aien Binti Abd Aziz Putra, Rudi Julian Eka Ramadhani, Maya Ria Saputri Ria Saputri, Ria Ririn Handayani Roki Hardianto Roliah, Roliah Safrini, Safrini Siswanto, Didik Sitompul, Dadang Rukmana Sri Rahayu Prastyaningsih Sri Utami Lestari Sri Wahyuni Susandri, Susandri Sutan Martahan Syofyan Syofyan Tumilah, Tumilah Wahyuni Sri Walhidayat Walhidayat Walhidayat, Walhidayat Yayi Suryo Prabandari Yogo Turnandes Yoyon Efendi Yummastian Yummastian, Yummastian Yuvi Darmayunta Zamzami, Zamzami