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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT JISTech (Journal of Islamic Science and Technology) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Simtek : Jurnal Sistem Informasi dan Teknik Komputer CSRID (Computer Science Research and Its Development Journal) Technologia: Jurnal Ilmiah Jurnal Pendidikan dan Konseling Journal of Applied Engineering and Technological Science (JAETS) INFOKUM KLOROFIL: Jurnal Ilmu Biologi dan Terapan Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal IPTEK Bagi Masyarakat Jurnal Armada Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) JOMLAI: Journal of Machine Learning and Artificial Intelligence
Yusuf Ramadhan Nasution
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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PENGENALAN POLA PENYAKIT TANAMAN JAGUNG MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS DAN K-NEAREST NEIGHBOR Citra Duvita Rahman; Yusuf Ramadhan Nasution
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 3 (2024): EDISI 21
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i3.4755

Abstract

Penelitian ini bertujuan untuk mengenali pola penyakit pada tanaman jagung menggunakan metode Principal Component Analysis (PCA) dan K-Nearest Neighbor (KNN). Penyakit pada tanaman jagung dapat menurunkan produktivitas dan kualitas hasil panen, sehingga diperlukan metode yang efektif untuk mengidentifikasi penyakit secara dini. PCA digunakan untuk mereduksi dimensi data yang tinggi tanpa kehilangan informasi yang signifikan, sehingga mempermudah proses pengenalan pola. Setelah itu, algoritma KNN diterapkan untuk mengklasifikasikan jenis penyakit berdasarkan pola yang telah terbentuk. Hasil penelitian menunjukkan bahwa kombinasi PCA dan KNN mampu memberikan akurasi yang tinggi dalam mengidentifikasi penyakit tanaman jagung. Implementasi metode ini diharapkan dapat membantu petani dalam mendeteksi penyakit lebih awal dan mengambil tindakan pencegahan yang tepat, sehingga meningkatkan hasil panen dan kesejahteraan petani.
Post-Election Sentiment Analysis 2024 via Twitter (X) Using the Naive Bayes Classifier Algorithm Yessi Mayasari; Yusuf Ramadhan Nasution
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 4 No 2 (2024): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v4i2.1582

Abstract

This study examines sentiment related to the topic of Twitter after the 2024 election, where the topic focused on the 2024 presidential election. Where there are a lot of public opinions and comments after the 2024 presidential election. One of them is the phenomenon when Anies-Muhaimin and Ganjar-Mahfud filed a lawsuit with the Constitutional Court (MK) to appeal over suspicions of fraud over the victory of the elected pair Prabowo-Gibran. By applying the Naïve Bayes Classifier algorithm to analyze public sentiment. Through data crawling, preprocessing, feature extraction, and sentiment classification, the study identified the dominant sentiment and its intensity among social media users. This methodology utilizes quantitative data analysis, using Twitter data linked to specific election-related hashtags. The findings reveal a mix of negative and positive sentiments, reflecting diverse public opinion about election results and related political developments. The accuracy of Naïve Bayes Classifier is highlighted, demonstrating its effectiveness in sentiment classification in the context of social media. This research contributes to understanding public sentiment in the political realm and improving methodological approaches in sentiment analysis using machine learning.
Pemberdayaan Masyarakat Desa Pematang Serai melalui Pengabdian Mahasiswa Berbasis Moderasi Beragama dan Lingkungan Hamdan Sudirman Marpaung; Akhyar Al Khoir; Irham Prasetyo Putra; Dian Aulya Utami; Yusuf Ramadhan Nasution
Jurnal IPTEK Bagi Masyarakat Vol 5 No 2 (2025)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i2.1333

Abstract

Community Service Program (KKN) is a form of student community service implemented as part of the Tri Dharma of Higher Education. This article discusses the implementation of KKN in Pematang Serai Village, Tanjung Pura District, Langkat Regency, North Sumatra, with a focus on the role of students in carrying out community service. The background of this activity focuses on how KKN students are able to synergize with the community and support community development in terms of economics, religion, and education. This activity aims to be a means for students to learn so they are able to face problems that occur in the community. The method used is a qualitative descriptive research approach. By actively involving the community in the planning, implementation, and evaluation of the program, this study aims to understand in depth how the KKN program has impacted the lives of village communities. The results of this activity indicate that the role of KKN students has had significant benefits for the village community. In its implementation, this also helps students understand the needs and problems of the community directly. The Community Service Program in Pematang Serai Village, which includes the Indonesian Pious Children Festival, Tabligh Akbar, Planting Movement, Fish Seed Distribution, and Compost Making, is a real effort to realize religious moderation, improve environmental quality, and empower the community.
Co-Authors Abdul Halim Hasugian Adjie Prakasa Viragupty Agung Hamdika Surya Ahmad Raja Aidil Halim Lubis Aidil Halim Lubis Aisyah Nurrahmah Siregar Akhyar Al Khoir Ali Darta Aninda Muliani Citra Duvita Rahman Dian Aulya Utami Fahrul Azis Nasution Fikri Hakiki Siregar Furqan, Muhammad Hamdan Sudirman Marpaung Heri Santoso Ilka Zufria Irham Prasetyo Putra Jihan Ulfa Deski Khairuna Khairuna Khairunnisa Khairunnisa M Chairul Azmi M Ridho Ramadhan Mhd Furqan Mhd Ikhsan Rifki Mhd Reza Alfani Mhd. Furqan Muhammad Siddik Hasibuan Nurdianti, Taing Sapitri Rabiatul Adawiyah Hasibuan Raissa Amanda Putri Suhardi, Suhardi Tri Allan Siddiq Yessi Mayasari