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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Interest : Jurnal Ilmu Kesehatan Jurnal Riset Kesehatan Jurnal Keterapian Fisik Jurnal Skala Kesehatan Media Ilmu Kesehatan Indonesian Journal of Medicine Journal of Health Science and Prevention Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Kesehatan Jurnal Sehat Mandiri Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Computer Networks, Architecture and High Performance Computing Jurnal Health Sains Journal of Applied Nursing and Health Jurnal Teknologi Kesehatan Algoritme Jurnal Mahasiswa Teknik Informatika Informatics and Enginering Dedication Biner : Jurnal Ilmiah Informatika dan Komputer Journal of Prosthetics Orthotics and Science Technology (JPOST) Gema Lingkungan Kesehatan Jurnal Ilmiah Kesehatan Journal of Local Therapy Jurnal Pendidikan Kesehatan (e-Journal) Journal Information & Computer (JICOM) (MJN) E-Amal: Jurnal Pengabdian Kepada Masyarakat Mandalika Journal of Medical and Health Studies Applied Information Technology and Computer Science (AICOMS)
Nur Rachmat
Poltekkes Kemenkes Surakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Implementation of E-Book Services (Adkuh Book) For The Public At Surakarta Orthopedic Hospital Prianggi, Herawati; Handayani, Dola Fitritha Raras; Surya, Nella Tri; Rachma, Devi Elvina; Rachmat, Nur
MEDIA ILMU KESEHATAN Vol 12 No 3 (2023): Media Ilmu Kesehatan
Publisher : Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/mik.v12i3.1150

Abstract

Background: It is hoped that the use of e-Government from bureaucracy can be an alternative for bureaucratic reform for the better. The concept of digital public services leads to effective principles. while efficient means doing something correctly.Objective: To increase the convenience of health services by facilitating E-Book (Adkuh Book) services to the public.Method: This research method uses Research and Development which to produce certain products and test the effectiveness of these products. Both products can produce new products or modify existing products.Results: From the results of the bivariate analysis, it was found that there was an increase in respondents' interest (the average pre-test score with high interest was 96.78 points and the average post-test score with low scores was 43.04 points). To look for disease information before seeking treatment or registering at the Surakarta orthopedic hospital and was statistically significant (p=<0.001). Most respondents know how to access the Adkuh BookConclusion: There is a positive and significant influence on the intention to use the Adkuh Book on the use of health information for orthotic prosthetic patients. There is a positive and significant influence between Perceived Ease of Use on Intention to use Adkuh Book.
Optimizing the Use of Websites and Social Media in Efforts to Improve Orthotic Prosthetic Services Rachmat, Nur; Kristianto, Jusuf
Mandalika Journal of Medical and Health Studies Vol 2 No 1 (2024): Mandalika Journal of Medical and Health Studies
Publisher : Mandalika Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/mjmh.v2i1.100

Abstract

Prosthetic Orthotic services during the COVID 19 pandemic need to be improved by optimizing the use of websites and social media. To find out what the Prosthetic Orthotic Kuspito Clinic is doing in optimizing the use of websites and social media to improve prosthetic orthotic services during the COVID-19 pandemic. Qualitative research by describing the results of direct observations and interviews with informants. Milles and Huberman's data analysis model. Research conducted at PT. Kuspito Orthotic Prosthetics in January and February 2023. Optimization of website use in an effort to improve prosthetic orthotic services is carried out by creating a website with several additional features in the form of displaying product price information, product purchasing and payment processes that can be made directly on the comfiware.com website, discounts and discounts for customers that can be accessed On the website, product payments can be paid by GoPay, bank transfers, credit cards and consulting services regarding products, through WhatsApp social media, where the access button is on the comfiware.com website display. Optimizing the use of websites and social media to improve Orthotic Prosthetic services during a pandemic has been carried out well at PT. Prosthetic Orthotic Kuspito
The Impact of Patient Hygiene on Skin Issues in Lower Limb Prosthesis Users Nur Rachmat; Sisybania; Maharani Nadia Andarini
Gema Lingkungan Kesehatan Vol. 23 No. 1 (2025): Gema Lingkungan Kesehatan
Publisher : Poltekkes Kemenkes Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36568/gelinkes.v23i1.213

Abstract

Amputees require effective support through prostheses, which help restore mobility. Maintaining cleanliness of the stump and prosthesis is essential to prevent skin problems, ensuring comfort during activities. This study aims to determine the relationship between patients' cleanliness levels and skin issues on the stumps of lower limb prosthesis users. This research was conducted in December 2023 at the Community Resource Rehabilitation Development and Training Center (PPRBM) Solo, utilizing the Self-Management Assessment for the Residuum and Prosthesis (S.M.A.R.T) in a cross-sectional observational design. A purposive sampling technique was used to select 40 lower limb prosthesis users. Data analysis involved the Shapiro Wilk normality test and hypothesis testing with Pearson Product Moment. Analysis of the 40 participants revealed a significance value of p = 0.000 (p < 0.05) and a correlation coefficient of -0.737. This indicates a significant and strong negative correlation: higher cleanliness levels correspond to fewer skin problems on the stump, while lower cleanliness levels lead to more skin issues. Maintaining a high level of cleanliness is crucial for lower limb prosthesis users to prevent skin issues on the stump.
The Effect of the Use of Knee Support to Knee Pain of Skateboard Players in Singaraja Bali Rachmat, Nur; Putra, Aji
Journal of Prosthetics Orthotics and Science Technology Vol. 1 No. 1 (2022): JPOST: JOURNAL OF PROSTHETICS ORTHOTICS AND SCIENCE TECHNOLOGY
Publisher : Poltekkes Kemenkes Jakarta I

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.963 KB) | DOI: 10.36082/jpost.v1i1.648

Abstract

Background: Skateboarding is also an extreme sport and in Indonesia it is not very popular but has the potential to be liked by young people in Singaraja Bali. Due to the nature of skateboarding, including high speeds and extreme maneuvers, such as jumping from heights and performing extreme movements that can injure the joint bearing of the knee, injuries often occur when a skateboarder collides with an inanimate object, falling off the skateboard. Knee support is made of elastic material with medial and lateral supports made of metal. Elastic material that has the ability to stretch and return to its original state quickly so that it serves as a fixation on the knee that suffers from knee pain. With the fixation on the knee as well as support and stabilizer on the knee joint will relieve pain in patients with knee pain so it is expected to reduce pain. Method: The research design of the effect of the use of knee support to knee pain of skateboard players is a type of quantitative research using a quasi-experimental design with one group pre and posttest design. Data was collected in the Singaraja Bali sports hall in September - December 2020. Skateboarders' knee pain was measured using a VAS (Visual Analogue Scale) questionnaire. The population is 14 skateboarders who play at the Singaraja Bali sports hall. All respondents were sampled using the total sampling method. Result: There were 11 males and 3 females as respondents. Pre-test Knee pain VAS score before using knee support is average of 5.93 while the post test score after using knee support for two weeks is average of 2.14. Normality data using the Shapiro Wilk result is not normally distributed. The result of Wilcoxon is p value 0.001. P value is less than 0.05. So it can be concluded that the use of knee support has a significant effect in reducing knee pain in skateboarders. Conclusion: there is an effect of the use of knee support to knee pain of skateboard players. It is advisable for skateboarders to wear knee support when feeling pain while skateboarding.
Sentimen Opini Publik Terhadap Isu Pembangunan Tugu di Youtube Menggunakan Metode Random Forest dan SMOTE Ardi al Ghifari; M.Kurniawan; Nur Rachmat
Journal Information & Computer Vol. 3 No. 2 (2025): Journal Information & Computer
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jicomisc.v3i2.49333

Abstract

Pembangunan tugu sering kali menimbulkan pro dan kontra di kalangan masyarakat, terutama ketika proyek tersebut dianggap tidak sesuai dengan prioritas kebutuhan publik. Dalam era digital saat ini, opini masyarakat terhadap isu-isu seperti ini banyak disampaikan melalui media sosial dan platform berbagi video seperti YouTube.Pada penelitian ini, data dikumpulkan dari kolom komentar pada video yang membahas pembangunan tugu, kemudian dilakukan praproses teks sebelum dianalisis menggunakan metode Random Forest dengan SMOTE dan tanpa SMOTE.Hasil yang didapatkan bahwa, Algoritma Random Forest tanpa SMOTE didapatkan akurasi sebesar 0.97 sedangkan Algoritma Random Forest dengan SMOTE didapatkan akurasi 0.78. Terlihat juga nilai Precision tertinggi di dapatkan oleh Algoritma Random Forest tanpa SMOTE yaitu sebesar 1.00 untuk positif dan 0.97 untuk negatif, lalu nilai Recall tertinggi di dapatkan oleh Algoritma Random Forest tanpa SMOTE sebesar 0.53 untuk positif dan 1.00 untuk negatif, Dan Nilai F1 Score terbesar juga didapatkan oleh Algoritma Random Forest tanpa SMOTE sebesar 0.69 untuk positif dan 0.99 untuk negatif.Dari kesimpulan dari atas bahwa terdapat tidak kecocokannya penggunaan Metode Random Forest dan SMOTE, untuk penelitian ini disarankan lebih baik menggunakan Metode Random Forest Tanpa SMOTE.
Klasifikasi Tingkat Kematangan Buah Kakao Berdasarkan Fitur Warna Menggunakan Algoritma K-Nearest Neighbor Mahendra, Izha; Rachmat, Nur
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 4 No 1 (2023): Oktober 2023 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v4i1.5485

Abstract

So far, cocoa farmers choose the quality of the maturity level of cocoa pods manually ormake selections based on estimates from these farmers, so that the manual method is very proneto errors in sorting the quality of cocoa pod maturity with various human factors, such as fatigueand doubt. Based on these problems, this study developed an application for classification ofcocoa pods using Hue, Saturation, Value (HSV) color extraction with the classification methodusing K-Nearest Neighbor (KNN) and applying the evaluation results method using the EuclideanDistance, so that in choosing the level of maturity Cocoa pods have the same standard and ahigher level of accuracy with digital processing. Therefore this research was conducted. Theprocess of classification of ripeness into 4 classes, namely: rotten, ripe, unripe and half ripe. Withthe KNN classification method, and the dataset used is 80 databases, as well as 40 testing data.The highest value is at k=1 with 90% accuracy, 90% precision, and 90% recall. The tool used todevelop the system is matlab.
Pelatihan Bagi Administrator Moodle di SMA Dharma Bakti Palembang Rachmat, Nur; Mardiani, Mardiani; Pibriana, Desi
FORDICATE Vol 2 No 1 (2022): November 2022
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v2i1.3458

Abstract

Setiap istitusi pendidikan yang terdampak pandemi covid-19 mau tidak mau harus terbiasa untuk melaksanakan pembelajaran secara online. Untuk itu diperlukan banyak persiapan dari sekolah mulai dari media pendukung sampai kepada Sumber Daya Manusia. Sumber Daya Manusia yang dimaksud tentu saja guru pengajar dan tentu saja harus ada administer yang bertanggung jawab dalam pengelolaan web yang digunakan. Hal ini juga harus dipersiapkan dengan memberikan pelatihan cara penggunaan moodle sebagai administrator. Adapun pengabdian Kepada Masyarakat ini akan dilakukan secara tatap muka bagi calon administrator moodle di SMA Dharma Bakti Palembang. Kegiatan pelatihan ini dilakukan dengan metode ceramah dan presentasi, tanya jawab interaktif, dan praktik secara langsung di SMA Dharma Bakti Palembang. Hasil Akhir yang diharapkan dari pelatihan ini adalah peserta dapat terampil dan memahami cara penggunaan moodle sebagai administrator sehingga mampu mengelola user, mengelola kelas serta enroll guru untuk keperluan pembelajaran online di SMA Dharma Bakti palembang.
DERAJAT HALLUX VALGUS DAN TINGKAT NYERI GURU SMK SURAKARTA Anissa Eka Septiani; Nur Rachmat; Fitri Khoirun Nisa
Medical Journal of Nusantara Vol. 4 No. 1 (2025): Medical Journal of Nusantara (MJN)
Publisher : Tahta Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55080/mjn.v4i1.1399

Abstract

Background: The foot plays a vital role in supporting body weight and enabling locomotion. Improper foot care and footwear can lead to musculoskeletal disorders such as pain. One common condition is hallux valgus, a lateral deviation of the big toe that causes progressive pain and impairs joint function. Teachers, particularly those in vocational high schools, are at higher risk due to prolonged standing and the use of formal footwear. Objective: This study aims to determine the relationship and strength of association between the hallux valgus angle and pain intensity among public vocational high school teachers in Surakarta. Methods: A quantitative, observational analytic study with a cross-sectional design was conducted. Participants were selected using purposive sampling. The hallux valgus angle was measured using amplification angulus, and pain intensity was assessed. Data were analyzed using Spearman’s correlation test. Results: A significant positive correlation was found between the hallux valgus angle and pain intensity. For the right foot, the p-value was 0.028 with a correlation coefficient of 0.401 (moderate). For the left foot, the p-value was 0.038 with a correlation coefficient of 0.380 (low). Conclusion: There is a significant positive relationship between the hallux valgus angle and pain intensity among teachers, with moderate correlation on the right foot and low correlation on the left foot
Implementing Histogram of Oriented Gradients to Recognize Crypto Price Graphic Patterns with Artificial Neural Network Wibowo, Suluh Arif; Rachmat, Nur
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3975

Abstract

Technical analysis stands as a pivotal strategy in analyzing graphic patterns to forecast future movements in crypto asset prices. However, comprehending numerous patterns poses a significant challenge for novice investors venturing into the investment realm. This study aims to facilitate investors in recognizing crypto price graph forms by classifying cryptographic price chart patterns. The dataset comprises images of seven types of crypto price graphic patterns obtained from the Kagle website, totaling 210 data points. A 70:30 training and testing data split is employed to ensure robust model evaluation. The study explores nine different Histogram of Oriented Gradients (HOG) parameter combinations for graphic pattern extraction. Leveraging the artificial neural network (ANN) classification method with parameter hyper tuning, the study assesses various HOG parameter configurations to optimize classification performance. The most optimal results are achieved with parameters Bin = 9, Cell Size = 16x16, and Block Size = 1x1, boasting an accuracy rate of 95.23%, precision of 95.55%, and recall of 95.23%. This classification approach streamlines the process for investors, enabling them to discern crypto price graph patterns effectively, thereby enhancing their investment decision-making capabilities in the dynamic cryptocurrency market landscape. By providing a structured method for pattern recognition, this study contributes to democratizing access to technical analysis tools, particularly benefiting novice investors seeking to navigate the complexities of cryptocurrency investment.
KLASIFIKASI KOMENTAR TERHADAP KRIMINAL SAAT MALAM HARI PADA MEDIA SOSIAL YOUTUBE MENGGUNAKAN NAÏVE BAYES Bee, Vanness; Rizi, Muhammad Alfa; Rachmat, Nur
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 3 No 2 (2024): Juli
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v3i2.7311

Abstract

Penelitian ini bertujuan untuk mengklasifikasikan komentar mengenai kejahatan kriminal pada malam hari dari media sosial di Youtube dengan menggunakan metode Naïve Bayes. Data komentar dikumpulkan dari video yang telah membahas kejadian kejahatan kriminal pada malam hari, secara khusus yaitu perampokan dengan kata lain adalah begal. Pada Proses Pemrosesan data meliputi normalisasi teks, tokenisasi, pemfilteran, dan stemming untuk mempersiapkan data sebelum dianalisis oleh peneliti. Setelah prapemrosesan, metode Naïve Bayes diterapkan untuk melatih dan menguji pada model klasifikasi. Hasil penelitian telah menunjukkan bahwa metode ini mampu mengklasifikasikan komentar dengan tingkat akurasi sebesar 0.703. Visualisasi data menunjukkan bahwa sentimen positif lebih dominan daripada sentimen negatif dalam komentar yang telah dianalisis. Hasil pada Laporan klasifikasi menunjukkan bahwa precision, recall, dan f1-score masing-masing sebesar 0.64, 0.65, dan 0.64 untuk sentimen negatif, serta 0.75, 0.74, dan 0.75 untuk sentimen positif. Akurasi keseluruhan model adalah 0.70, dengan macro average dan weighted average untuk precision, recall, dan f1-score masing-masing sebesar 0.70. Pada Penelitian ini memberikan pandangan mengenai tanggapan dari masyarkat terhadap kejahatan kriminal pada malam hari serta dapat digunakan untuk mengembangkan strategi yang lebih efektif sehingga untuk mengurangi kejadian perampokan dan kejahatan lainnya.
Co-Authors Agus Seto Nugroho Ahmad Hisyam Aji Janmo Minulyo Aji, Sherly Ratih Frichesyarius Santi Alfan Zubaidi Alfan Zubaidi ANDYARINI, ESTI NOVI Anik Indah Yani Anik Indah Yani Anissa Eka Septiani Annisa Eka Septiani Ardi al Ghifari Ardiansyah, Aldi Atika Febri Anggriani Ayuningtyas, Roro Aji Bambang Kuncoro Bambang Kuncoro Bambang Kuncoro Bambang Kuncoro Bee, Vanness Bella Permata Sihombing Permata , Mecha Devi Elvina Rachma Doddy Suprayogi Dodiet Aditya Setyawan Dola Fitritha Raras Handayani Dwi Nurul Izzhati Dwi Setyawan Dwi Setyawan E. Saputra Saputra Esa Ridho Sambada Eviana S. Tambunan Fadhila Firmanurulita Fajar Susanti Faried Effendi Surono Fitri Khoirun Nisa haidar abdurrahman prawira Handayani, Dola Fitritha Raras Hanifah Hanifah Hanna Lestari Herawati Prianggi Herawati Priangi Hidayati, Betty Indri Kusuma Dewi, Indri Kusuma Ismi Dwi Syafitri Izha Mahendra Jusuf Kristianto M Syafii M.Kurniawan Maharani Nadia Andarini Mardiani Mardiani Masdeniati, Masdeniati Muhammad Syafii Muhammad Syaifudin Mulyaningrum, Haryanti Katini Nella Tri Surya Ni Made Riasmini Noorma, Nilam Pibriana, Desi Prasetya, Hanung Prasetyo Catur Utomo Prasetyo Catur Utomo Prasetyo Catur Utomo Prianggi, Herawati Putra, Aji Putri Utami Sulistyawati R. Ismail Ismail Rachma, Devi Elvina REZA FAHLEVI Rini Tri Hastuti Rizi, Muhammad Alfa Rustam Aji, Rustam Setyorini, Yuyun Setyorini Siska Meiwijayasmi Sisybania Sri Djuwitaningsih Subagiyo, Didik SULISTIYANI SULISTIYANI Surya, Nella Tri Suryaningsih, Anthik Fajar Tri Handayani Wibowo, Suluh Arif Zenitha Bela Pratiwi Kusumawati