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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science Jurnal Teknologi Dan Sistem Informasi Bisnis JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH J-SAKTI (Jurnal Sains Komputer dan Informatika) EXPLORER CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat Bangsa Jurnal Pengabdian Sosial Jurnal Pengabdian Kepada Masyarakat Radisi Jurnal KALANDRA Journal of Computer Science Artificial Intelligence and Communications Etanic : Journal Of English Language Teaching And Applied Linguistics
Muhammad Noor Hasan Siregar
Universitas Graha Nusantara, Padangsidimpuan, Sumatera Utara - Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Optimalisasi Penggunaan Komputer Sebagai Alat Edukasi di Komunitas Lokal Rizki, Cindy Atika; Iqbal, Muhammad; Putra, Eka; Siregar, Muhammad Noor Hasan; Mardiah; Hendry
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 1 (2025): Juli 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i1.319

Abstract

Kemajuan dalam teknologi informasi dan komunikasi telah membuka peluang besar di dunia pendidikan, termasuk di tingkat masyarakat setempat. Tujuan dari penelitian ini adalah untuk mempertimbangkan strategi untuk mengoptimalkan penggunaan komputer sebagai peralatan pendidikan di masyarakat, terutama untuk mendukung pembelajaran non-formal, pengembangan keterampilan digital dasar, dan meningkatkan kemampuan informasi publik. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif deskriptif dengan metode perekaman data dalam bentuk pengamatan lapangan, wawancara dengan manajer pusat pembelajaran masyarakat, dan dokumentasi kegiatan pendidikan berbasis komputer. Hasil penelitian menunjukkan bahwa penggunaan komputer secara tepat meningkatkan akses publik ke sumber belajar, memperkuat kemampuan teknologi informasi, dan mempromosikan kemandirian pembelajaran. Namun, ada banyak hambatan, termasuk perangkat terbatas, kurangnya pelatihan, dan kemampuan digital awal yang buruk di masyarakat. Oleh karena itu, strategi optimasi diperlukan dalam bentuk pelatihan langkah demi langkah, pengadaan fasilitas komputer yang berkelanjutan, dan pembentukan tim sukarelawan pendidikan berbasis teknologi. Studi ini merekomendasikan bahwa sinergi dengan pemerintah, lembaga pendidikan dan komunitas membantu mendigitalkan pendidikan berdasarkan standar. Mengoptimalkan penggunaan komputer tidak hanya akses ke pendidikan, tetapi juga memperkuat kemampuan masyarakat dalam era digital yang terintegrasi dan kompetitif.
Sosialisasi Pendidikan Tinggi sebagai Strategi Peningkatan Minat Studi Lanjut Siswa Sekolah Menengah Atas Ramadhani, Yulia Rizki; Harputra, Yuswin; Siregar, Muhammad Noor Hasan; Suleman, Abdul Rahman
KALANDRA Jurnal Pengabdian Kepada Masyarakat Vol 4 No 4 (2025): Juli
Publisher : Yayasan Kajian Riset Dan Pengembangan Radisi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55266/jurnalkalandra.v4i4.578

Abstract

Pendidikan tinggi memiliki peran penting dalam meningkatkan kualitas sumber daya manusia dan mempersiapkan generasi muda menghadapi persaingan global. Namun, masih banyak siswa Sekolah Menengah Atas (SMA) yang kurang berminat melanjutkan pendidikan ke jenjang perguruan tinggi karena keterbatasan informasi, ekonomi, dan motivasi. Kegiatan pengabdian ini bertujuan untuk meningkatkan minat dan pemahaman siswa terhadap pentingnya melanjutkan pendidikan tinggi melalui sosialisasi yang dilaksanakan di SMAN 1 Padang Bolak Julu. Metode yang digunakan meliputi observasi awal, penyusunan materi, pelaksanaan ceramah interaktif, sharing session, dan evaluasi dengan kuisioner. Hasil kegiatan menunjukkan bahwa minat siswa untuk melanjutkan ke perguruan tinggi meningkat dari 38,6% menjadi 71,4%. Pengetahuan siswa tentang jalur masuk perguruan tinggi dan program beasiswa juga mengalami peningkatan signifikan. Kegiatan ini membuktikan bahwa sosialisasi pendidikan tinggi merupakan strategi yang efektif untuk membangun kesadaran dan motivasi siswa SMA dalam merencanakan masa depan pendidikan mereka.
Implementation of Natural Language Processing for Chatbots in Customer Service Iqbal, Muhammad; Siregar, Muhammad Noor Hasan; Rismayanti, Rismayanti
Journal of Computer Science, Artificial Intelligence and Communications Vol 1 No 1 (2024): May 2024
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v1i1.4

Abstract

The development of artificial intelligence technology has driven significant transformations in various sectors, including customer service. One of its increasingly developed applications is the use of chatbots based on Natural Language Processing (NLP). This research aims to explore the implementation of NLP in chatbots to enhance efficiency, accuracy, and customer satisfaction in digital customer service systems. By using descriptive analysis methods and case studies on several customer service platforms, this research examines how NLP components such as natural language processing, sentiment analysis, and context understanding are used to automatically and relevantly respond to customer inquiries. The analysis results show that chatbots equipped with NLP are capable of understanding human language more naturally, answering questions with appropriate context, and significantly reducing the workload of human agents. Additionally, the integration of NLP allows for personalized responses and continuous learning from previous interactions. However, there are also challenges such as limitations in understanding language ambiguity and the need for large training data. This research concludes that the implementation of NLP in chatbots is a strategic step to improve customer service quality, but it must be supported by the design of adaptive and user experience-oriented systems.
Utilization of Sales Data Analysis for Product Recommendation Systems in E-Commerce Using the Apriori Algorithm Muhammad Noor Hasan Siregar; Furqan Khalidy; Rismayanti; Khairunnisa
Journal of Computer Science, Artificial Intelligence and Communications Vol 1 No 2 (2024): November 2024
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v1i2.17

Abstract

The rapid development of e-commerce has significantly increased the volume of sales transactions and customer interaction data. This presents an opportunity for businesses to leverage data mining techniques to extract valuable insights that support decision-making processes. One such application is the development of product recommendation systems, which play a crucial role in enhancing customer satisfaction and driving sales. This research focuses on utilizing sales transaction data to build a product recommendation system using the Apriori algorithm, a well-known method for association rule mining. The study begins with the collection and preprocessing of transaction data from an e-commerce platform. Through the application of the Apriori algorithm, frequent itemsets are identified, and association rules are generated based on specified support and confidence thresholds. These rules reveal purchasing patterns and relationships between products that are frequently bought together. The system then uses these patterns to recommend relevant products to users, aiming to improve cross-selling opportunities and personalize the shopping experience. The results demonstrate that the Apriori-based recommendation model is effective in identifying meaningful product combinations and can be implemented as a lightweight, interpretable alternative to more complex machine learning methods. Furthermore, the system helps e-commerce businesses optimize inventory management and marketing strategies by understanding customer buying behavior. This research concludes that the integration of the Apriori algorithm into recommendation systems provides tangible benefits for e-commerce platforms seeking data-driven personalization solutions.
Evaluating the Impact of Knowledge Management Systems on Organizational Performance: A Technology Company Case Yasir, Amru; Apriadi, Deni; Siregar, Muhammad Noor Hasan; Handoko, Divi; Rahman, M. Arif
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 1 (2025): May 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i1.27

Abstract

This study aims to evaluate the impact of Knowledge Management Systems (KMS) on organizational performance within a technology company. In the digital era, knowledge has become a critical asset that drives innovation, efficiency, and competitive advantage. By leveraging a case study approach, the research examines how the implementation of KMS influences various performance indicators, including productivity, decision-making quality, employee collaboration, and knowledge retention. Data were collected through interviews, observations, and internal documents, and analyzed using a mixed-method approach. The findings suggest that effective use of KMS significantly improves organizational agility and innovation capabilities. However, the study also identifies challenges such as resistance to change, lack of user training, and insufficient integration with existing workflows. To maximize the benefits of KMS, organizations must foster a knowledge-sharing culture, provide ongoing support, and align KMS strategies with business objectives. The insights from this research are expected to contribute to the development of more effective knowledge management practices in technology-based organizations.
Identifying Metacognitive Online Reading Strategies Of Students Universitas Graha Nusantara Harputra, Yuswin; Ramadhani, Yulia Rizki; Siregar, Muhammad Noor Hasan
ETANIC Journal Of English Language Teaching And Applied Linguistics Vol 1 No 1 (2023): February
Publisher : Yayasan Kajian Riset dan Pengembangan RADISI

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

Abstract

The purpose of this study is to determine the metacognitive reading strategy EFL students of the English Department use during their academic period during this internet era. The participants were 76 English Education Study Program students from the academic year 2020/2021. Data came from the OSORS (Online Survey of Reading Strategy) questionnaire that provided accurate data. This study revealed that the students who participated in this study reported a wide range of metacognitive strategies when reading online academic texts. The Global Reading Strategies were the most popular metacognitive reading approach students use when reading online. The students participate in live chat with native speakers of English, where interacting with native speakers, the students can better grasp the native English language, phrases, and intonation by conversing with a native speaker. In keeping the reported use of strategies that include looking at sites covering both sides of an issue. The student searches for other areas that would analyze the topic, then combined his previous knowledge with information on the website. And the learners must have learned the first language. The role of L1 or its use is relevant in issues such as transfer or interference from L1 or even as a learning strategy in learning a second language.
Co-Authors , Eka Putra AA Sudharmawan, AA Ade Ismail Abdul Kodir Agus Perdana Windarto Alkhairi, Putrama Angelia Utari Harahap Aswan, Novita Badawi, Masrof Chairul rizal Chairul Rizal Deni Apriadi Edi Suharto Eka Putra Fachri, Barany Ferawati Artauli Hasibuan Ferawati Artauli Hasibuan Ferawati Artauli Hasibuan Furqan Khalidy Handoko, Divi Harputra, Yuswin Hendry Hendry . Hery Dia Anata HERY DIA ANATA BATUBARA Indra Prasetia, Indra Indra Riyana Rahadjeng Indra Riyana Rahadjeng Khairunnisa Lubis, Fitri Romaito Mardiah Muhammad Eka Muhammad Hasanuddin, Muhammad Muhammad Iqbal Muhammad Iqbal Muhammad Yasin Simargolang Muhammad Zen Munadi Munadi Novita Aswan Nurkhasanah Rina Puspita Oberlin Siagian Putra, Randi Rian Raharjo, Mokhamad Ramdhani Rahman, M. Arif Ramadhani, Cerah Fitri Ramadhani, Yulia Rizki Rismayanti Rismayanti Rismayanti Rizki, Cindy Atika Rusmin Saragih, Rusmin Setiawan, Yudika Dwi Siti Hajar Siti Khodijah Suleman, Abdul Rahman Supiyandi Supiyandi Toga Mahaji Yasir, Amru Yuhandri, Muhammad Habib Yusra Fadhillah Yusra Fadhillah Yusra Fadhillah Yusra Fadhillah Yusra Fadhillah