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EFEKTIFITAS TEKNIK JELLY OLES DAN SEMPROT TERHADAP TINGKAT NYERI PASIEN KATETERISASI URINE Rahayuningrum, Lina Madyastuti; Rosyid, Harun Al
Journals of Ners Community Vol 5 No 2 (2014)
Publisher : Fakultas Ilmu Kesehatan Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55129/jnerscommunity.v5i2.100

ABSTRAKRetensi urine merupakan kedaruratan sistem urinari yang sering ditemukan.Manajemen sistem urinari yang baik salah satunya adalah kateter. Tindakan memberikancairan pelumas atau jelly dalam prosedur kateter urin sangat penting untuk mencegah ataumengurangi resiko trauma uretra dan sensasi nyeri yang dialami oleh pasien. Ada duateknik pemberian jelly yang pertama ujung kateter diolesi oleh jelly dan cara keduapenyemprotan langsung ke uretra dengan spuit 10 ml tanpa jarum. Tujuan penelitian iniuntuk menjelaskan perbedaan teknik pemberian dengan jelly oles dan semprot terhadaptingkat nyeri pada pasien dengan kateter urine.Desain penelitian ini adalah quasy experimental, dengan jumlah sampel 10 orangmenggunakan jelly oles dan 10 orang menggunakan semprotan jelly. Kecepatan instalasidiukur dengan stopwatch saat nyeri, intensitas nyeri diukur secara visual menggunakanskala nyeri numerik. Data dianalisis dengan mencari rata-rata dari kecepatan instalasi dantingkat nyeri pada setiap kelompok dilanjutkan dengan uji Mann Whitney U-Test untukmengetahui perbedaan nilai mean dengan tingkat signifikan p= 0,05.Hasil penelitian menunjukkan bahwa ada perbedaan yang signifikan antara teknikjelly oles dan semprot terhadap tingkat nyeri pada pasien, diperoleh hasil p= 0.010.Teknik kateter urine dengan semprotan jelly menjadi salah satu pilihan untukmengurangi rasa sakit yang lebih rendah.Kata kunci: Jelly oles, Semprotan jelly, Kateter urine, Tingkat nyeriABSTRACTRetention of urine represents emergency system of urinal that often found. It wasneeded good managerial one of them was catheter. Action give dilution of lubricant orjelly procedure of catheter of urine was vital importance to prevent or lessen risk the eventtrauma of urethra and sensation of pain in bone experienced by patient. There were twotechniques gift of jelly that was smeared tip of catheter by jelly and the second wayspraying direct into urethra by spuit 10 ml discharged needle. These research purposes toexplain differences of technique gift with topical jelly and spray to pain levels in patientwith catheter urine.Design of this research was quasi experimental, with amount of sample 10 peopleuse the topical jelly and 10 people use spray jelly. Speed of installation measured bystopwatch while intensity pain in bone measured visually was used analogous numericrating scale. Analyzed data with searching mean from speed of installation and pain levelin each group continued with test of Mann Whitney U-Test to the mean to know significantof difference, with p= 0.05.This result of research showed that there were significant difference betweentechnique topical jelly and spray to pain levels in patient obtained result p= 0.010.Technique catheter urine with spray jelly become one choice to reduce lower painin bone.Keywords: Topical Jelly, Spray Jelly, Catheter Urine, Pain Level

EFEKTIFITAS TEKNIK JELLY OLES DAN SEMPROT TERHADAP TINGKAT NYERI PASIEN KATETERISASI URINE Rahayuningrum, Lina Madyastuti; Rosyid, Harun Al
Journals of Ners Community Vol 5 No 2 (2014)
Publisher : Fakultas Ilmu Kesehatan Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55129/jnerscommunity.v5i2.100

ABSTRAKRetensi urine merupakan kedaruratan sistem urinari yang sering ditemukan.Manajemen sistem urinari yang baik salah satunya adalah kateter. Tindakan memberikancairan pelumas atau jelly dalam prosedur kateter urin sangat penting untuk mencegah ataumengurangi resiko trauma uretra dan sensasi nyeri yang dialami oleh pasien. Ada duateknik pemberian jelly yang pertama ujung kateter diolesi oleh jelly dan cara keduapenyemprotan langsung ke uretra dengan spuit 10 ml tanpa jarum. Tujuan penelitian iniuntuk menjelaskan perbedaan teknik pemberian dengan jelly oles dan semprot terhadaptingkat nyeri pada pasien dengan kateter urine.Desain penelitian ini adalah quasy experimental, dengan jumlah sampel 10 orangmenggunakan jelly oles dan 10 orang menggunakan semprotan jelly. Kecepatan instalasidiukur dengan stopwatch saat nyeri, intensitas nyeri diukur secara visual menggunakanskala nyeri numerik. Data dianalisis dengan mencari rata-rata dari kecepatan instalasi dantingkat nyeri pada setiap kelompok dilanjutkan dengan uji Mann Whitney U-Test untukmengetahui perbedaan nilai mean dengan tingkat signifikan p= 0,05.Hasil penelitian menunjukkan bahwa ada perbedaan yang signifikan antara teknikjelly oles dan semprot terhadap tingkat nyeri pada pasien, diperoleh hasil p= 0.010.Teknik kateter urine dengan semprotan jelly menjadi salah satu pilihan untukmengurangi rasa sakit yang lebih rendah.Kata kunci: Jelly oles, Semprotan jelly, Kateter urine, Tingkat nyeriABSTRACTRetention of urine represents emergency system of urinal that often found. It wasneeded good managerial one of them was catheter. Action give dilution of lubricant orjelly procedure of catheter of urine was vital importance to prevent or lessen risk the eventtrauma of urethra and sensation of pain in bone experienced by patient. There were twotechniques gift of jelly that was smeared tip of catheter by jelly and the second wayspraying direct into urethra by spuit 10 ml discharged needle. These research purposes toexplain differences of technique gift with topical jelly and spray to pain levels in patientwith catheter urine.Design of this research was quasi experimental, with amount of sample 10 peopleuse the topical jelly and 10 people use spray jelly. Speed of installation measured bystopwatch while intensity pain in bone measured visually was used analogous numericrating scale. Analyzed data with searching mean from speed of installation and pain levelin each group continued with test of Mann Whitney U-Test to the mean to know significantof difference, with p= 0.05.This result of research showed that there were significant difference betweentechnique topical jelly and spray to pain levels in patient obtained result p= 0.010.Technique catheter urine with spray jelly become one choice to reduce lower painin bone.Keywords: Topical Jelly, Spray Jelly, Catheter Urine, Pain Level

Profiling kerentanan bencana wilayah di Pulau Jawa Menggunakan Principal Component Analysis dan K-Means Clustering Qorina, Alfa; Novitasari, Fadila; Rosyid, Harun Al
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4807

Indonesia, khususnya Pulau Jawa, menghadapi kompleksitas risiko bencana hidrometeorologi dan geologi yang semakin meningkat akibat perubahan iklim, urbanisasi, serta degradasi lingkungan. Penelitian ini bertujuan melakukan pemetaan kerentanan bencana pada wilayah administratif Kabupaten/Kota di Pulau Jawa menggunakan pendekatan machine learning berbasis metode unsupervised, yaitu K-Means Clustering. Penelitian memanfaatkan 17 variabel lingkungan dan dampak bencana, meliputi frekuensi kejadian bencana (gempa bumi, longsor, banjir, cuaca ekstrem, kebakaran hutan/lahan, dan kekeringan), jumlah rumah rusak, jumlah korban terdampak, serta indikator pengelolaan lingkungan berupa timbulan sampah harian dan tahunan. Dataset awal terdiri dari seluruh Kabupaten/Kota di Pulau Jawa, namun dilakukan proses penyaringan data (preprocessing) termasuk normalisasi, handling missing values, dan data consistency check. Sebanyak 17 Kabupaten/Kota dikeluarkan dari analisis karena tidak memenuhi kelengkapan data. Melalui Elbow Method, ditentukan jumlah cluster optimal yaitu k=3, kemudian divalidasi menggunakan Silhouette Score, PCA Visualization, dan hierarchical clustering. Hasil clustering mengelompokkan wilayah menjadi tiga profil kerentanan: (0) Risiko Rendah (69 Kabupaten/Kota), dengan karakteristik intensitas bencana minimal dan timbulan sampah terendah (±407 ton/hari); (1) Risiko Sedang (10 Kabupaten/Kota), yang memiliki fluktuasi ekstrem pada indikator korban jiwa (±2.132 jiwa) terutama akibat cuaca ekstrem; serta (2) Risiko Tinggi (23 Kabupaten/Kota), yang ditandai dengan tekanan lingkungan masif berupa rata-rata timbulan sampah harian mencapai >1.200 ton dan frekuensi banjir tertinggi. Temuan ini memberikan dasar segmentasi risiko kebencanaan berbasis data sebagai rekomendasi prioritas mitigasi kebencanaan daerah

Analisis Pengaruh Stimultan Penggunaan TikTok dan Instagram terhadap Prestasi Akademik Mahasiswa Zulatifa, Nelani Shafatia; Ridla, Abdilbar Ainur; Pratiwi, Galuh Rastika; Listyaningsih, Divita Aulia; Octavia, Amallia Putri; Hamidah, Atika Rosidah; Rosyid, Harun Al
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i2.2872

This study aims to analyze the relationship between the use of TikTok (X1) and Instagram (X2) on the academic achievement of Digital Business Undergraduate Program students of the 2022 intake, which is assessed by the average score. The study approach uses a quantitative approach with a questionnaire by 186 participants. The research instrument has been proven valid because all items meet the requirements of Corrected Item-Total Correlation > 0.30, and is reliable with Cronbach's Alpha values X1 = 0.81; X2 = 0.86; and Y = 0.87, respectively. The findings of the analysis indicate that the two independent variables do not contribute significantly to the dependent variable. The Pearson correlation results show r = –0.045 (p = 0.568) on X1 and r = 0.048 (p = 0.548) on X2, which reflects a very weak and statistically insignificant relationship. Partial regression testing using the t-test also confirmed this, with the regression coefficient of X1 being -0.0398 (t = -0.516; p = 0.606) and X2 being -0.0001 (t = -0.001; p = 0.999). Simultaneously, the F-test also indicated that the model was not significant (p > 0.05). The low R-squared value confirmed that X1 and X2 played only a small role in explaining the variation in student GPA. The regression model also met classical assumptions, including freedom from multicollinearity (VIF X1 = 1.18; VIF X2 = 1.17), no heteroscedasticity (p = 0.7829), and a linear relationship, although there were indications of mild autocorrelation (DW = 1.731). These findings confirm that the intensity of TikTok and Instagram use is not the main predictor of academic achievement, so further research is recommended to include other variables such as learning motivation, time management, academic support, quality of the learning environment, self-regulation, and the purpose and type of content consumption to build a more comprehensive academic achievement prediction model.

ANALISIS SENTIMEN KOMENTAR YOUTUBE TERHADAP PERILISAN IPHONE 17 SERIES MENGGUNAKAN ALGORITMA NAIVE BAYES Kamilah, Faniah Iftitakhul; Rochman, Muhammad Zaini; Rosyid, Harun Al
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2198

Perilisan iPhone 17 Series memicu reaksi beragam di platform YouTube yang mencerminkan opini publik. Penelitian bertujuan untuk menganalisis sentimen komentar masyarakat menggunakan algoritma Naive Bayes. Data komentar dikumpulkan melalui teknik scraping, melalui tahapan preprocessing, dan dilabeli secara otomatis menggunakan model Indonesian RoBERTa. Hasil evaluasi terhadap 1.849 data uji menghasilkan akurasi sebesar 61%. Performa model menunjukkan kemampuan yang baik dalam menangkap kritik pengguna, ditandai dengan recall sentimen negatif sebesar 0.71. Sementara itu, sentimen positif teridentifikasi dengan precision 0.64 dan sentimen netral dengan recall 0.50. Penelitian ini menyimpulkan bahwa respons pasar terpolarisasi antara kritik dan apresiasi, serta membuktikan bahwa Naive Bayes mampu mengklasifikasikan opini dengan performa yang cukup seimbang pada seluruh kategori sentimen.

Klasifikasi Sentimen Komentar Youtube Demonstrasi DPR RI Menggunakan Support Vector Machine Rahmadhani, Siti Aulia; Rusanti, Lia Dwi; Rosyid, Harun Al
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 2 (2025): December 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i2.15316

Demonstrations against the Indonesian House of Representatives (DPR RI) have triggered extensive public opinion flows on social media; however, sentiment mapping of Indonesian-language comments on YouTube live broadcasts of political issues still requires more structured methodological reporting and evaluation. This study aims to classify public sentiment from 1,493 YouTube comments related to DPR RI demonstrations using the Support Vector Machine (SVM) algorithm. Data were collected via the YouTube Data API and subsequently processed through text cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was performed using an Indonesian lexicon-based approach to generate three sentiment classes (positive, negative, and neutral), with neutral sentiment being dominant. Feature representation was constructed using CountVectorizer, and the SVM model was trained using an 80:20 split for training and testing data. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics, achieving an accuracy of 92.4% (weighted performance of 0.924). Word frequency analysis was also employed to identify dominant terms within each sentiment class. These findings demonstrate the effectiveness of SVM in mapping digital public perceptions on political issues and highlight its potential to support data-driven policy evaluation.

PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS UNTUK ANALISIS DATA BELANJA ONLINE MAHASISWA Marjuki, Deiva Verlyn; Safitri, Mutyara; Rosyid, Harun Al
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.553

This study was conducted to analyze the online shopping behavior of college students using the K-Means algorithm as a clustering technique in data mining. This study was motivated by the lack of systematic segmentation of student shopping behavior, which limits the understanding of purchasing characteristics within this consumer group. Unlike previous studies that mostly examine general retail customers or broad e-commerce users, this study specifically focuses on university students by integrating demographic and behavioral attributes. The originality of this study is reflected in the simultaneous use of six variables, namely gender, shopping time, product type, expenditure level, payment method, and purchase decision factors. Data were collected through an online survey involving 200 active college students. The research stages consisted of data cleaning, data category transformation using One-Hot Encoding, clustering model construction using the K-Means algorithm, and cluster evaluation using the Silhouette method. The evaluation results showed that the optimal number of clusters was k = 3, achieving the of 0.0913. Three distinct segments of college students' online shopping behavior were identified, providing insights that can support more targeted marketing strategies and student-oriented e-commerce services.

Prediksi Tren Saham PT. Telkom Indonesia Tbk Menggunakan Metode OLS Andini, Putri Vikho; Zuhdi, Atha Maulidan; Rosyid, Harun Al
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 9, No 1 (2026): Februari 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10384

Abstrak - Penelitian ini bertujuan untuk meramalkan pergerakan harga saham PT Telkom Indonesia Tbk pada periode 2020–2024 dengan memanfaatkan metode Ordinary Least Squares (OLS). Data historis harian diperoleh dari Investing.com dengan rentang waktu 2 Januari 2020 hingga 30 Desember 2024. Data dibagi menjadi 80% data pelatihan dan 20% data pengujian, kemudian diolah menggunakan bahasa pemrograman Python pada lingkungan Google Colab. Model OLS dilatih menggunakan variabel harga historis dan diterapkan untuk menghasilkan prediksi pada periode pengujian, yaitu 20 Desember 2023 sampai 30 Desember 2024. Hasil peramalan disajikan dalam bentuk visualisasi grafik tren dan tabel perbandingan antara nilai aktual dan nilai yang diprediksi. Evaluasi model dilakukan dengan menggunakan Mean Absolute Percentage Error (MAPE) sebagai indikator akurasi peramalan. Hasil penelitian menunjukkan bahwa model OLS mampu mengikuti pola umum pergerakan harga saham TLKM, dengan nilai MAPE yang berada dalam kategori dapat diterima untuk analisis peramalan berbasis tren. Penelitian ini menyimpulkan bahwa metode OLS dapat digunakan sebagai pendekatan dasar dalam memprediksi tren harga saham dan dapat menjadi acuan untuk penelitian lanjutan yang menggunakan metode peramalan yang lebih kompleks.Kata kunci: Prediksi Saham; Metode OLS; Tren Saham; Forecasting; MAPE; Abstract - This study aims to predict the movement of PT Telkom Indonesia Tbk's share price for the period 2020–2024 using the Ordinary Least Squares (OLS) method. The research utilizes daily historical stock data obtained from Investing.com, covering the period from January 2nd, 2020 until December 30th 2024. The data was divided into 80% training data and 20% testing data, which are processed using Python in the Google Colab environment. The OLS model is trained using historical price variables and then applied to generate predictions on the testing period from 20 December 2023 to 30 December 2024. The forecasting results are presented in the form of trend graph visualizations and comparison tables between actual and predicted values. The model evaluation was conducted using Mean Absolute Percentage Error (MAPE) as a forecasting accuracy indicator. The findings show that the OLS model is able to capture the general movement of TLKM stock trends, with the resulting MAPE value indicating that the model performs at an acceptable level for trend-based forecasting. The study concludes that OLS can be used as a baseline method for stock trend prediction and may serve as a reference for further comparative or advanced forecasting models.Keywords: Stock Prediction; OLS Method; Stock Trend; Forecasting; MAPE;

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