Jurnal Online Universitas Islam Sumatera Utara
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THE USE OF GEN Z SLANG BY DIGITAL INFLUENCER "AWKARIN" ON HER SOCIAL MEDIA: A SOCIO-SEMANTIC STUDY
Get PDFGeneration Z increasingly relies on slang as a linguistic resource to express identity, negotiate belonging, and build intimacy in digital communication, making it an important site of sociolinguistic and semantic change. However, most existing studies focus on broad usage patterns rather than examining how individual influencers strategically use slang to construct their online personas. Addressing this gap, this study analyzes Awkarin’s use of Gen Z slang on Instagram and YouTube through a qualitative sociolinguistic and semantic approach. The analysis identifies various slang forms—such as acronyms, neologisms, semantic shifts, and code-mixing—and their communicative functions in shaping influencer–audience interaction. Findings reveal that slang serves not only as informal vocabulary but as a strategic resource for identity performance, emotional expression, and audience engagement. This study contributes to sociolinguistic and semantic research by showing how influencers act as linguistic mediators who adapt and circulate Gen Z slang within Indonesian digital culture, highlighting slang as both a social practice and a site of meaning innovation
Early Detection of Diabetes Using a Machine Learning Model Based on Laboratory Data
Get PDFDiabetes mellitus is a chronic disease whose prevalence continues to increase worldwide, with a projected number of sufferers reaching 643 million by 2030. Early detection of diabetes is crucial to prevent serious complications such as cardiovascular disease, kidney failure, and nerve damage. This study aims to compare the performance of four machine learning algorithms (Random Forest, Support Vector Machine, Logistic Regression, and K-Nearest Neighbors) in detecting diabetes based on clinical parameters, and to identify the most significant predictor variables. The study uses the Pima Indians Diabetes dataset consisting of 768 samples with 8 predictor variables (number of pregnancies, glucose, blood pressure, skin thickness, insulin, BMI, diabetes pedigree function, and age). Data is divided into a training set (70%) and a testing set (30%) using stratified sampling. Data preprocessing includes handling missing values, feature scaling using StandardScaler, and handling imbalanced data using the SMOTE technique. Performance evaluation uses accuracy, precision, recall, F1-score, and Area Under Curve (AUC-ROC) metrics. Results show that the Random Forest model achieves the best performance with an accuracy of 81.8%, precision of 79.2%, recall of 78.5%, F1-score of 78.8%, and AUC of 0.88. Support Vector Machine achieves an accuracy of 78.0%, Logistic Regression 76.0%, and K-Nearest Neighbors 74.5%. Feature importance analysis identifies glucose (28.5%), BMI (19.8%), and age (16.5%) as the most significant predictors in diabetes detection. The Random Forest model produces 17 false negatives and 12 false positives from 231 testing samples. The study concludes that Random Forest is the most effective algorithm for early diabetes detection with good accuracy and superior interpretability through feature importance
AKTIVITAS PEMBELAJARAN MENDALAM BERBASIS BUDAYA BATAK TOBA DAN PEMBELAJARAN BERDIFERENSIASI UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR TINGKAT TINGGI SISWA SMP
Get PDFhis study aims to describe Batak Toba culture-based deep learning activities combined with differentiated learning in improving junior high school students' higher order thinking skills (HOTS). This study is descriptive qualitative with a case study approach. The research subjects were 26 eighth-grade students at Budi Murni 3 Junior High School in Medan who participated in learning activities using three types of Batak Toba culture-based worksheets on the material of discovering and proving the Pythagorean theorem in accordance with the students' ability levels. Data were collected through observation of student activities, student work results, and final tests, then analysed based on HOTS indicators: analysis, evaluation, and creation. The results showed that the learning activities went very well with a student engagement rate of 95%. The integration of Batak Toba culture, particularly the Ulos motif, helped students understand the abstract concept of the Pythagorean theorem more concretely, while differentiated learning provided space for students with different abilities to develop according to their potential. Thus, deep learning based on local culture, combined with effective differentiation, is effective in improving HOTS while supporting the implementation of the Merdeka Curriculum
PEMODELAN KURVA PARAMETRIK DAN ANALISISNYA DALAM GEOGEBRA : STUDI TEORITIS DAN VISUAL
Get PDFPenelitian ini bertujuan untuk mengembangkan pemahaman mendalam mengenai pemodelan dan analisis kurva parametrik melalui pendekatan teoritis dan visual menggunakan perangkat lunak GeoGebra. Kurva parametrik merupakan representasi matematis yang menggambarkan lintasan dalam bidang dua dimensi atau tiga dimensi dengan memanfaatkan satu atau lebih parameter bebas. Studi ini dimulai dengan kajian teoritis yang menguraikan dasar-dasar persamaan parametrik, termasuk bentuk umum kurva, sifat diferensialnya, serta konsep turunan pertama dan kedua untuk menentukan karakteristik seperti titik stasioner, kelengkungan, dan arah garis singgung. Selanjutnya, GeoGebra diimplementasikan sebagai alat bantu visual interaktif yang memungkinkan pengguna memodelkan kurva parametrik secara dinamis dengan manipulasi parameter secara real-time. Penggunaan GeoGebra memungkinkan analisis numerik yang akurat dan visualisasi grafik yang intuitif, sehingga mempermudah identifikasi titik ekstrem, simetri, serta perubahan bentuk kurva akibat variasi parameter. Metode penelitian mengintegrasikan kajian literatur, pengembangan model matematis, dan eksperimen visualisasi dengan GeoGebra untuk menghasilkan representasi kurva yang komprehensif. Hasil penelitian menunjukkan bahwa penggunaan GeoGebra secara signifikan meningkatkan efektivitas pembelajaran dan pemahaman konsep-konsep kalkulus diferensial serta geometri analitik terkait kurva parametrik. Selain itu, visualisasi dinamis membantu dalam menguji hipotesis matematis dan memperjelas hubungan antara parameter dan bentuk kurva. Studi ini juga menyoroti potensi aplikasi kurva parametrik dalam berbagai bidang seperti teknik, desain grafis, dan simulasi komputer. Kesimpulannya, integrasi pemodelan matematis dan visualisasi interaktif menggunakan GeoGebra merupakan metode yang efektif untuk mendalami analisis kurva parametrik sekaligus mendukung pengembangan metode pembelajaran matematika yang lebih inovatif dan aplikatif
RE- DESAIN MEJA DAN KURSI ALAT SKIR DISC OR GATE VALVE YANG ERGONOMIS BAGI PENGRAJIN VALVE KEC. SENAMBAH TANJUNG MUDA HILIR PADA UD. SAKA TEKNIK
Get PDFPenelitian ini bertujuan untuk merancang ulang meja dan kursi alat skir disc or gate valve yang ergonomis bagi pengrajin valve di UD. SAKA TEKNIK. Proses penyekiran valve saat ini masih menggunakan meja putar tradisional yang menyebabkan ketidaknyamanan kerja dan berisiko menimbulkan cedera muskuloskeletal akibat postur tubuh yang tidak ergonomis. Untukmengidentifikasi keluhan pekerja, penelitian ini menggunakan metode Nordic Body Map (NBM), yang menunjukkan tingkat ketidaknyamanan tinggi, serta analisis antropometri guna memastikan desain yang sesuai dengan dimensi tubuh pekerja. Hasil penelitian menunjukkan bahwa meja dan kursi skir yangd irancang ulang dengan mempertimbangkan faktor ergonomis dapat mengurangi risiko cedera, meningkatkan kenyamanan, dan mendukung produktivitas kerja. Desain yang diusulkan memiliki dimensi yang disesuaikan dengan tinggi popliteal, lebar pinggul, serta tinggi siku duduk pekerja agar postur tubuh tetap ideal selama proses penyekiran. Implementasi desain ini diharapkan dapat meningkatkan efisiensi kerja dan kesejahteraan pekerja di UD. SAKA TEKNIK, serta menjadi acuan bagi industri serupa dalam menciptakan lingkungan kerja yang lebih aman dan nyaman
ANALISA KEGAGALAN PADA KNALPOT SEPEDA MOTOR CUP 70 MENGGUNAKAN METODE TENSILE TEST (PENGUJIAN TARIK)
Get PDFKnalpot adalah alat peredam kebisingan pada kendaraan, apakah itu mobil, sepeda motor, dan lain sebagainya. Dengan sifat pada masing-masing material berbeda, maka banyak metode untuk menguji sifat apa sajakah yang di miliki oleh suatu material tersebut. Uji tarik merupakan salah satu metode yang di gunakan untuk mengetahui kekuatan tarik pada material, dan bagaimana bentuk struktur pada knalpot tersebut. Oleh karena itu uji tarik dan uji struktur banyak di pakai dalam bidang menguji sifat mekanik yan di miliki oleh suatu material tersebut. Metode yang digunakan dalam penelitian ini adalah metode pengujian tarik menggunakan mesin UTM. Material testing machinedengan panjang 110 mm menggunakan ASTM E8. Hasil penelitian memiliki spesimen untuk spesimen yang pertama pada knalpot memiliki tengangan tarik dengan nilai 8,02 Mpa regangan tarik dengan nilai 0,01 dan modus elastisitas dengan nilai 802,08 Mpa spesimen kedua pada knalpot memiliki tegangan tarik dengan nilai 7,89 Mpa rengangan tarik dengan nilai 0,03 dan modulus elastisitas dengan nilai 263,4 Mpa spesimen ketiga pada knalpot memiliki tegangan tarik dengan nilai 8,59 Mpa rengangan tarik dengan nilai 0,01 dan modulus elastisitas dengan nilai 859,37 Mpa spesimen keempat pada knlapot memiliki tengangan tarik dengan nilai 10,2 Mpa rengangan tarik dengan nilai 0,04 dan modulus elastisitas dengan nilai 256,21 Mpa spesimen kelima pada knalpot memiliki tegangan tarik dengan nilai 12,2 Mpa regangan tartik dengan nilai 0,05 dan modulus elastisitas dengan nilai 244,43 Mp
Penerapan Kecerdasan Buatan untuk Optimasi Produksi Biogas dari Limbah Pertanian Studi Kasus di Desa Pematang Sijonam, Perbaungan
Get PDFPenelitian ini bertujuan untuk mengoptimalkan produksi biogas dari limbah pertanian melalui penerapan kecerdasan buatan (Artificial Intelligence/AI). Studi dilakukan di Desa Pematang Sijonam, Perbaungan, yang memiliki potensi besar dalam pemanfaatan jerami padi, sekam, dan kotoran sapi sebagai substrat biogas. Data proses fermentasi seperti suhu, pH, waktu retensi, dan rasio C/N digunakan untuk melatih model jaringan saraf tiruan (Artificial Neural Network/ANN). Hasil pelatihan menunjukkan bahwa model ANN mampu memprediksi volume produksi biogas dengan akurasi tinggi (R² = 0,981). Penerapan AI meningkatkan efisiensi produksi sebesar 9% dibanding metode konvensional. Penelitian ini memberikan kontribusi nyata dalam penerapan teknologi cerdas di sektor energi terbarukan pedesaan
SOCIAL AWARENESS IN PRAMOEDYA ANANTA TOER’S NOVEL THIS EARTH OF MANKIND
Get PDFThis study examines the representation of social awareness in Pramoedya Ananta Toer’s novel This Earth of Mankind, using Sheldon’s framework. Through qualitative descriptive analysis, the study identifies three dimensions of social awareness—cognition, social environment, and goals and motives—reflected in the characters of Minke, Nyai Ontosoroh, and Tuan de la Croix. The findings highlight Pramoedya’s critique of colonial social hierarchies and the awakening of native consciousness. Twelve data were collected to support the statement about social awareness and its aspects found in the novel. The results of this study are that there are three aspects of social awareness found in the novel This Earth of Humanity, namely cognition, social environment, and goals and motives. The cognition can be seen through Minke’s character, which is displayed through his disbelief in Astrology and superstition, his good process of absorbing information, and his way of thinking critically about the problems of the indigenous people. The social environment can be seen through social awareness of the backwardness of natives’ behavior and social awareness of native status towards Europeans. Goals and motives can be seen through the goals of Minke and Tuan de la Croix, who wanted to make the natives more advanced and developed, and Nyai Ontosoroh's goals for Annelies
INHERITED SHAME AND IDENTITY FRAGMENTATION IN KENZABURŌ ŌE’S THE SILENT CRY: A FREUDIAN PSYCHOANALYTIC APPROACH
Get PDFThis article examines the psychological disintegration of Takashi, the central character in Kenzaburō Ōe’s The Silent Cry, through the lens of Freudian psychoanalysis. Drawing on Sigmund Freud’s structural theory of the psyche—particularly the dynamics of the id, ego, and superego—this study explores how identity crisis, generational trauma, and defense mechanisms shape Takashi’s internal conflict and destructive behavior. The analysis reveals that Takashi’s revolutionary actions are not driven by coherent political ideology, but by inherited shame, repressed grief, and the failure of ego mediation. His descent into violence and mania is interpreted as a symbolic enactment of psychological collapse, wherein inherited guilt and unresolved trauma override rationality and self-regulation. The superego, as portrayed in the novel, functions not only as a moral compass but as a punitive legacy passed through family and cultural memory. This study also highlights the interplay of defense mechanisms—such as projection, rationalization, denial, and sublimation—that ultimately fail to contain his psychic distress. By interpreting The Silent Cry as a narrative of personal and national trauma, this paper demonstrates how literature can serve as a site for exploring deep psychological wounds, especially those stemming from unspoken histories and familial burden
CITISPACE-BASED VISUALIZED ANALYSIS OF RESEARCH ON CHINESE EFL LEARNERS’ ORAL ENGLISH OUTPUT IN RECENT FIFTEEN YEARS
Get PDFOral English output is a core link in the transformation of linguistic knowledge into practical application ability. Taking the China National Knowledge Infrastructure (CNKI) academic journal network publishing database as the data source, this paper uses the CiteSpace 6.3.R 1 data visualization software to map scientific knowledge, and conducts a systematic analysis of relevant literatures in the field of Chinese EFL learners' oral English output over the past 15 years, so as to reveal the development trends, hotspots and frontiers of this field. The results show that the research in the field of Chinese EFL learners' oral English output from 2010 to 2025 presents a fluctuating characteristic, going through three stages: the accumulation and development stage, the significant growth stage and the stable maturity stage. Research hotspots focus on oral English output, with emphasis on English teaching practice in different school stages; research frontiers concentrate on the cultivation of oral English output ability in specific school stages. Future research should, on the basis of diversifying research methods, carry out studies around different themes, promote interdisciplinary research, and conform to the development of educational digitalization