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All Journal Marinade Jurnal Informatika dan Rekayasa Elektronik Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Canrea Journal: Food Technology, Nutritions, and Culinary Journal Dirasah : Jurnal Studi Ilmu dan Manajemen Pendidikan Islam Didaktik : Jurnal Ilmiah PGSD STKIP Subang Journal Informatic, Education and Management (JIEM) JURNAL ILMIAH EDUKATIF Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer An-Nahdlah: Jurnal Pendidikan Islam AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Teknoif Teknik Informatika Institut Teknologi Padang eJournal Kedokteran Indonesia JURNAL ILMIAH PENDIDIKAN KEBUDAYAAN DAN AGAMA Jurnal Muara Medika dan Psikologi Klinis Jurnal Ilmiah Research Student Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Yusra
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

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Analisis Sentimen Terhadap Sebuah Figur Publik di Twitter Menggunakan Metode K-Nearest Neighbor Yenggi Putra Dinata; Yusra; Fikry, Muhammad; Yanto, Febi; Cynthia, Eka Pandu
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1904

Abstract

The development of online media, particularly through social media platforms like Twitter, has created a vast stage for various activities, including political campaigns and public opinion on public figures. When information technology advances rapidly, public opinion can be conveyed without time constraints through social media. Twitter, with its character limitations and the use of hashtags by users, is considered easier to gather information about existing opinions and sentiments. Currently, social media is widely used for communication and making friends, but also for other activities. Advertising products, buying and selling anything, including advertising political parties and campaigning for members of Congress or presidential candidates. This research focuses on sentiment analysis towards Puan Maharani, the Speaker of the Indonesian House of Representatives (DPR RI), using data from the social media platform Twitter. Twitter, as a platform that allows users to express opinions in a concise format, is used as the main source of information in this research. The K-Nearest Neighbor algorithm for sentiment analysis technique is utilized to classify individual tweets into positive or negative categories regarding views on Puan Maharani. The methods used in this research include data crawling, labeling, and data preprocessing, which involve case folding, cleaning, tokenizing, negation handling, normalization, stopword removal, and stemming. For the classification process, the K-Nearest Neighbor method, feature weighting (TF-IDF), and feature selection (thresholding) are employed, with a threshold value of 0.001. The data used comprises 9,000 tweets in the Indonesian language. The results of the testing conducted in the K-Nearest Neighbor method, using confusion matrices, with 6 different values of K (3, 5, 7, 9, 11, 13), with comparison mechanisms of 90:10, 80:20, and 70:30 achieved the highest accuracy of 90.00% with K = 11 from the comparison using the 90:10 ratio
ABON IKAN BETUTU (Oxyeleotris marmorata) YANG DISUBSTITUSI DENGAN BUAH NANAS MADU (Ananas comosus L. Meer) Yusra; Nadya, Dhifa Khairi
Marinade Vol 7 No 2 (2024): Marinade
Publisher : Fisheries Product Technology Department, Faculty of Marine Science and Fisheries, Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/marinade.v7i2.7205

Abstract

MARINADE Vol. 07(02) : 1 – 5 (Oktober 2024)e-ISSN : 2654-4415online : http://ojs.umrah.ac.id/index.php/marinade1ABON IKAN BETUTU (Oxyeleotris marmorata) YANG DISUBSTITUSI DENGANBUAH NANAS MADU (Ananas comosus L. Meer)Difa Khairi Nadya1), dan Yusra1*)1)Program Studi Pemanfaatan Sumberdaya Perikanan, Fakultas Perikanan dan IlmuKelautan, Universitas Bung Hatta, Padang, 25133, Indonesia.*korespondensi: yusra@bunghatta.ac.idABSTRACTFish floss is a product made from shredded fish meat combined with specific seasonings,processed, through boiling, frying and pressing. The research was conducted in May 2024 at the FishProcessing Laboratory of the Faculty of Fisheries and Marine sciences at bung hatta university andVahana Scientific Laboratory. The aim of this study is to analyze the effect of adding honey pineapple(Ananas comosus L.Meer) fiber on the proximate and organoleptic quality of betutu fish floss(Oxyeleotris marmorata). The method used is experimental. The treatment applied is (A) betutu fishfloss (Oxyeleotris marmorata) without the addition of honey pineapple fiber (Ananas comosus L.Meer)and (B) betutu fish floss (Oxyeleotris marmorata) with the addition of honey pineapple fiber (Ananascomosus L.Meer). the data obtained were analyzed using a two-sample test (T-test). The results showthat the addition of honey pineapple fiber affects the organoleptic and proximate quality of betutu fishfloss.
Klasifikasi Sentimen Masyarakat di Twitter terhadap Puan Maharani dengan Metode Modified K-Nearest Neighbor Putra, Wahyu Eka; Fikry, Muhammad; Yusra; Yanto, Febi; Cynthia, Eka Pandu
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1211

Abstract

This study aims to address the challenges in classifying sentiment on Twitter regarding Puan Maharani by implementing the Modified K-Nearest Neighbor (MK-NN) method, supplemented with feature weighting and feature selection techniques. This method is designed to improve accuracy by assigning higher weights to important features and reducing data dimensions to avoid overfitting. Data is collected using a crawling technique on Indonesian-language tweets, which are then manually labeled and processed through a preprocessing stage. The testing results using the modified K-Nearest Neighbor (MK-NN) method with confusion matrices show the model's performance at three different values of K (3, 5, and 7) and data ratios of 90:10, 80:20, and 70:30. With a 90:10 data ratio and K=3, the method achieved the highest accuracy of 89.0%. These results indicate that the combination of MK-NN and related techniques is highly effective in sentiment classification, offering an innovative solution to the limitations of conventional methods. These findings have potential applications in public opinion analysis, particularly for supporting data-driven strategic decision-making.
Exploring the nutritional value, health benefits and concerns associates in selected fermented fish product in Southeast Asia: A review Binti Atun, Mazlinah; Binti Julmohammad, Norliza; Huda, Nurul; Bin Roslan, Jumardi; Mohd Shariff, Amir Husni; Nisa, Fithri Choirun; Yusra
jurnal1 VOLUME 7 ISSUE 2, DECEMBER 2024
Publisher : Hasanuddin University Food Science and Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/canrea.v7i2.1270

Abstract

Fermented fish is a staple food in Southeast Asian cuisine with a unique flavor and nutritional properties. This paper provides a comprehensive review of fermented fish, its types and methods of fermentation, nutritional value, health benefits, and risks. The paper highlights traditional and modern methods of fermentation using various types of fish and provides examples of popular fermented fish dishes. The nutritional value of fermented fish is emphasized, including their high protein and amino acid content, omega-3 fatty acids, vitamins, and minerals. Moreover, fermented fish has demonstrated promising health benefits such as improved cardiovascular health, gut health, and anti-cancer properties. However, high sodium content and potential risks of histamine poisoning, or other foodborne illnesses require caution in the consumption of these foods. The paper concludes by underscoring the cultural and public health significance of fermented fish and highlighting the potential for further research on the health benefits and risks of this traditional food.    
DAMPAK PERUBAHAN BUDAYA ORGANISASI DAN BUDAYA PEMBERDAYAAN KEPADA KINERJA KARYAWAN UPK SYARIAH TUJUAH SARUMPUN KECAMATAN AMPEK ANGKEK KABUPATEN AGAM Feri Irawan; Yusra; Noval Prasetyo
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 10 No. 04 (2024): Volume 10 No. 04 Desember 2024 In Progress
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v10i04.4751

Abstract

This study evaluates the impact of Capital Adequacy Ratio (CAR) and total assets on the stock value of banking companies during the period 2020-2021. A total of 88 samples were selected from the Indonesia Stock Exchange website (www.idx.co.id) by applying the purposive sampling method, which selects samples based on appropriate specific criteria. The t and F tests were applied to measure the effect of CAR and total assets variables on stock value. The t test is used to assess the impact of each variable individually, while the F test assesses the combined impact of both variables. Documentation, collecting secondary data available from reliable sources is used as the data method used. The findings show that CAR has a negative but not high impact on stock value, which means that the correlation is not strong enough. On the other hand, total assets have a high positive impact on stock value, indicating that banks with larger assets tend to have higher stock values. Furthermore, when CAR and total assets are tested together, the results show no high impact on stock value, indicating that the combination of CAR and total assets does not have a significant effect on the stock value of banking companies during the study period.
PENERAPAN PEMIKIRAN TINDAKAN YANG DIKEMUKAKAN OLEH MAX WEBER DI SMAN 1 CANDUANG Yusra; Silfia Hanani
An-Nahdlah: Jurnal Pendidikan Islam Vol 4 No 2 (2024): September-Desember
Publisher : Institut Agama Islam Hamzanwadi NW Lombok Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51806/an-nahdlah.v4i2.283

Abstract

Penelitian ini bertujuan untuk menganalisis penerapan pemikiran tindakan sosial Max Weber di SMAN 1 Canduang, dengan fokus pada dinamika interaksi sosial antara siswa, guru, dan manajemen sekolah. Menggunakan pendekatan kualitatif deskriptif, data dikumpulkan melalui observasi partisipatif, wawancara mendalam, dan analisis dokumentasi. Hasil penelitian menunjukkan bahwa tindakan sosial yang terjadi di sekolah dapat dikategorikan ke dalam empat jenis tindakan sesuai dengan teori Weber, yaitu tindakan rasional instrumental, tindakan rasional nilai, tindakan afektif, dan tindakan tradisional. Tindakan rasional instrumental terlihat dalam upaya siswa meraih prestasi akademik melalui kerja sama dalam pembelajaran, sedangkan tindakan rasional nilai tercermin dalam kegiatan sosial seperti bakti sosial yang menunjukkan kesadaran siswa akan tanggung jawab sosial. Tindakan afektif terbangun melalui hubungan emosional yang kuat di antara siswa, yang menciptakan komunitas belajar yang solid dan mendukung. Selain itu, penelitian ini juga menemukan tantangan terkait perbedaan nilai dan budaya di antara siswa yang perlu dikelola dengan baik. Secara keseluruhan, penelitian ini memberikan wawasan tentang pentingnya pemahaman tindakan sosial dalam konteks pendidikan untuk merancang program yang mendukung pengembangan karakter dan prestasi akademik siswa.
Pemanfaatan Platform Digital dalam Meningkatkan Mutu Pendidikan Yusra; Sesmiarni, Zulfani
Dirasah : Jurnal Studi Ilmu dan Manajemen Pendidikan Islam Vol 8 No 1 (2025): DIRASAH
Publisher : Institut Agama Islam (IAI) Faqih Asy'ari Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58401/dirasah.v8i1.1624

Abstract

This study aims to analyze the utilization of digital platforms to improve the quality of education at SMAN 1 Candung. Using a qualitative approach and descriptive methods, this research explores how teachers and students leverage digital technology in the learning process while identifying factors that support or hinder its effectiveness. Digital platforms such as Google Classroom and Zoom have proven to enhance the flexibility and efficiency of learning, enabling more inclusive teaching and encouraging independent learning among students. However, this study also identifies challenges, including limited internet access, insufficient technological facilities, and varying levels of digital literacy among teachers and students. The findings reveal that digital literacy levels at SMAN 1 Candung vary significantly. While some teachers possess basic knowledge of technology use, they require further training to maximize the potential of digital platforms. On the other hand, students are more familiar with social media but struggle to distinguish valid and relevant information. This disparity in digital literacy is exacerbated by infrastructure limitations, which hinder accessibility and the optimal use of technology in learning. The study also highlights the importance of blended learning strategies to maintain student engagement while leveraging the benefits of both online and face-to-face learning. With intensive training for teachers, technology usage guidelines for students, and adequate infrastructure support, the potential of digital platforms can be optimized to significantly enhance educational quality in the digital era. This research offers both practical and theoretical contributions to the development of digital-based education, particularly in areas with infrastructure constraints like SMAN 1 Candung, and serves as a model for similar educational institutions in Indonesia.
IbM Kelompok Masyarakat Pesisir Terhadap Perlindungan dan Pengelolaan Lingkungan Hidup di Desa Pria Laot Kota Sabang Yusra; Eliana; Dahlan
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 1 (2021): MAY 2021
Publisher : Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.477 KB) | DOI: 10.35870/ajad.v1i1.5

Abstract

The purpose of this service is to provide solutions by implementing Science through the Science and Technology program for the community at the STIES Research and Community Service Center to carry out advocacy and legal consultation to the community in Batee Shok Juroeng Pria Laot Village, Sukakarya District, Sabang City in order to minimize conflict and grant authority. local communities in the protection and management of the environment, especially the management of resources in coastal areas. The method used in IbM activities with a social approach, implementing Legal Counseling and Program Strategies for Coastal Mangrove Forest Management Community Groups, activities carried out by Focus Group Discussion (FGD), and implementation involving students as part of learning in the ways and processes of resolving environmental disputes related to with a Subject in Environmental Law and Management Economics. The conclusions of the service activities are; 1) The establishment of environmental law awareness for coastal communities to maintain and protect coastal resources in residential areas, 2) Form and reorganize the Coastal Management Community Group, and 3) Open access for people outside Batee Shok Village to utilize supporting facilities and infrastructure. Sabang City National Park Tourism.
The Impact of Ramadan Fasting on Health Parameters among Elementary School Teachers in Medan Nurbaya, Siti; Yusra; Irianti Handayani, Supri; Christianta, David; Faruqi, Muhammad; Allevia Yumnanisha, Defin
eJournal Kedokteran Indonesia Vol. 13 No. 1 (2025): Vol 13, No. 1 - April 2025
Publisher : Faculty of Medicine Universitas Indonesia

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

Abstract

Ramadan fasting, a globally significant religious practice, involves abstaining from food and drink from dawn to sunset for 29 to 30 days. While previous studies have linked fasting to various health outcomes, the results remain inconsistent. This study examines the effects of Ramadan fasting on several health indicators among elementary school teachers in Medan, focusing on body weight, glucose levels, uric acid levels, cholesterol levels, and blood pressure. Using a prospective cohort design, the study involved teachers from diverse backgrounds at Perguruan Islam Cendekia in Medan, North Sumatra. Baseline health measurements were recorded before Ramadan, with follow-up assessments conducted during and after fasting. Dietary patterns, physical activity, and other relevant factors were evaluated through validated questionnaires and interviews. Statistical analyses, including paired t-tests and Wilcoxon tests, were performed using IBM SPSS Statistics 20. Among the 20 participants, significant changes in health parameters were observed after Ramadan fasting. These included reductions in blood glucose (p = 0.034) and cholesterol levels (p = 0.014), along with an increase in uric acid levels (p = 0.009). However, no significant changes were found in BMI (p = 0.344) or mean arterial pressure (p = 0.345). These findings highlight both the benefits and potential challenges of fasting on physiological health. Ramadan fasting has a multifaceted impact on the health of elementary school teachers in Medan across different health indicators. Tailored interventions are recommended to support well-being during fasting periods.
Analisis Perbandingan Metode DBSCAN dan Meanshift dalam Klasterisasi Data Gempa Bumi di Indonesia MHD Ade Setiawan; Fitri Insani; Yelfi Vitriani; Yusra
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.605

Abstract

Indonesia is one of the countries with a high vulnerability to earthquakes due to its location at the convergence of three major tectonic plates: the Indo-Australian, Eurasian, and Pacific plates. As a result of this interaction, seismic activity is highly frequent across various regions. Understanding the distribution patterns of earthquakes is essential for disaster risk mitigation. One approach used to analyze these patterns is clustering, particularly using the DBSCAN  and Meanshift algorithms, which can group spatial data without predefining the number of clusters. This study aims to compare the effectiveness of both algorithms in clustering earthquake data based on spatial parameters, namely latitude and longitude. Evaluation was conducted using cluster visualization and the Silhouette Score as the clustering validity metric. The results show that DBSCAN  produces more optimal clustering with a Silhouette Score of 0.930028, higher than Meanshift's score of 0.90103. DBSCAN  is also capable of detecting relevant outliers in earthquake analysis, while Meanshift generates more clusters but with less separation. Using spatial parameters such as latitude and longitude, DBSCAN  is considered more effective in identifying the spatial distribution patterns of seismic activity in Indonesia based on earthquake data. This research supports the development of decision support systems for earthquake disaster mitigation and serves as a reference for selecting appropriate clustering methods for spatial data analysis.
Co-Authors Aji Bayu Permadi Allevia Yumnanisha, Defin Aprilia, Risma Aria Kekalih Batubara, Jose Bin Roslan, Jumardi Binti Atun, Mazlinah Binti Julmohammad, Norliza Christianta, David Dahlan Darul Ilmi Eka Pandu Cynthia Eka Pandu Cynthia, Eka Pandu Eliana Emeliazola Faruqi, Muhammad Febi Yanto Febi Yanto, Febi Fithri Choirun Nisa Fitri Insani Fitri Insani Herwanto Herwanto Hesti Lestari Irianti Handayani, Supri Iswantir M Iwan Iskandar Junaidi Junaidi Lawami, Reza Haya Mandalena Markarma, A. MHD Ade Setiawan Mohd Shariff, Amir Husni Muhammad Abdillah Muhammad Fikry Muhammad Iqbal Maulana Nadya, Dhifa Khairi Nazir, Alwis Nazruddin Safaat H Noval Prasetyo Nurul Huda Putra, Wahyu Eka Ramadhani Rini Sekartini Sarah Nabila Silfia Hanani Siti Nurbaya Siti Ramadhani Siti Zuhra Solly Aryza Surya Agustian Tjahjadi, Ricky Trinovita Andraini Yelfi Vitriani Yenggi Putra Dinata Zakir, Supratman Zulfani Sesmiarni