Abstract:Controlling hazards in the work environment can be done through various means, but technical control is the top priority. The use of personal protective equipment (PPE) is considered the application of a safe way of working.…
ing. This study aims to determine the relationship between compliance with the use of personal protective equipment (PPE) and efforts to prevent occupational diseases in nurses at Pertamedika Ummi Rosnati Hospital Banda Aceh. This type of research is quantitative with an analytic design with a cross-sectional study approach. Data collection was carried out from June 13 to 20, 2025, at Pertamedika Ummi Rosnati Hospital. The population in the study was all nurses in the inpatient room of Pertamedika Ummi Rosnati Hospital Banda Aceh, totaling 59 people with sampling techniques using total sampling. Data analysis using the chi-square test, where the results showed there was a relationship between knowledge (p = 0.001), attitude (p = 0.036), and compliance using PPE (p = 0.015) with efforts to prevent occupational diseases. The conclusion of this study found that there is a relationship between compliance with the use of personal protective equipment (PPE) and efforts to prevent occupational diseases in nurses at Pertamedika Ummi Rosnati Hospital Banda Aceh. It is recommended that nurses increase efforts to prevent occupational diseases by continuing to use PPE even though sometimes it is not provided in hospitals, such as masks.
Abstract:Congenital hypothyroidism (CH) is an endocrine disorder that can cause developmental delays if not detected and treated early. Congenital Hypothyroidism Screening (CHS) aims to detect abnormal levels of Thyroid Stimulating…
ng Hormone (TSH) in newborns before clinical symptoms appear. The timing of blood sample collection is a critical factor because TSH levels physiologically surge within the first 24 hours of life. This study aims to determine the accuracy of TSH sampling time in CH screening at Prima Medika General Hospital, Denpasar. A descriptive analytical method was used with a total sampling technique involving 105 neonates who underwent CHS from October to December 2024. Secondary data were obtained from laboratory request forms and the Laboratory Information System (LIS). Results showed that 92.4% of samples were collected on the second day of life, which aligns with the ideal window of 48–72 hours, and only 1.9% of neonates had elevated TSH levels. The study concludes that most sample collections met the recommended timing, contributing to valid results and effective CHS implementation. Timely sampling plays a vital role in early CH detection and reflects the overall quality of neonatal laboratory services.
Abstract:Dengue Hemorrhagic Fever (DHF) is an endemic disease in Indonesia caused by the dengue virus and transmitted through the bites of Aedes aegypti and Aedes albopictus mosquitoes. The risk of serious complications primarily…
arises during the critical phase, typically between the 4th and 6th days of fever, during which plasma leakage may occur, leading to shock and severe bleeding. Hematocrit levels and platelet counts are important parameters in the diagnosis and monitoring of DHF patients. This study aimed to determine the differences in hematocrit levels and platelet counts during days 4 to 6 of fever in DHF patients at Prima Medika Hospital Denpasar, in February 2025. This research employed a descriptive quantitative design with purposive sampling, involving 35 patients who met the inclusion criteria. The results showed a decrease in hematocrit levels with averages of 42.8%, 42%, and 41.2%, and platelet counts with averages of 87 x 10³/µL, 59 x 10³/µL, and 47 x 10³/µL from day 4 to day 6 of fever. Data were analyzed using the Shapiro-Wilk normality test, the Friedman non-parametric test for hematocrit levels, and the Repeated Measures ANOVA parametric test for platelet counts. Statistical analysis showed a p-value of 0.002 for hematocrit levels and 0.000 for platelet counts. The conclusion of this study is that there are significant differences in hematocrit levels and platelet counts between days 4 to 6 of fever in DHF patients.
Abstract:Cardiovascular disease remains a leading cause of death both globally and nationally, with Low Density Lipoprotein(LDL) levels serving as a key biochemical indicator in the screening and management of heart disease. Accurate…
rate LDL testing requires adherence to pre-analytical procedures, particularly fasting for 10-12 hours. This study aimed to describe LDL levels and fasting compliance among outpatient cardiac patients at RSU Prima Medika Denpasar. A descriptive cross-sectional design was used with purposive sampling, involving 35 cardiac outpatients from February to March 2025. Data were collected through interviews and laboratory examinations using the Furuno CA-270 device. Results showed that 71% of respondents had LDL levels >100 mg/dL, indicating high levels, while 29% hadnormal levels (<100 mg/dL). All respondents (100%) complied with the fasting requirement. These findings indicate that high LDL levels are still commonly found among outpatient cardiac patients, particularly in productive-age males. The high level of fasting compliance reflects the effectiveness of pre-analytical patient education. This study emphasizes the importance of routine lipid screening and continuous education to enhance laboratory diagnostic accuracy and prevent cardiovascular complications.
Abstract:The rising prevalence of obesity in Indonesia contributes to increased risk of metabolic diseases such as diabetes mellitus. Body Mass Index (BMI) is commonly used to assess nutritional status and may be correlated with…
long-term blood glucose levels measured by Hemoglobin A1c (HbA1c). This study aimed to explore the relationship between BMI and HbA1c levels in patients at Prima Medika General Hospital, Denpasar. A cross-sectional analytic observational design was employed, involving 30 purposively selected respondents. BMI was calculated from weight and height measurements, while HbA1c levels were assessed using the immunoturbidimetric method. Results showed an even distribution of respondents in the normal and overweight BMI categories (each 46.5%), while 50% had HbA1c levels >8%. However, Pearson correlation analysis indicated no statistically significant relationship between BMI and HbA1c levels (p=0.982; r=-0.004). The study concludes that BMI does not have a linear correlation with HbA1c levels. Other factors such as type and duration of therapy, disease progression, and patient adherence may play a greater role in influencing glycemic control and should be further investigated.
Abstract:Infeksi kecacingan adalah salah satu penyakit yang sering dijumpai dalam masyarakat dan diakibatkan oleh parasit nematoda usus atau parasit golongan Soil Transmitted Helminths (STH). Salah satu pekerjaan yang berisiko terinfeksi…
rinfeksi parasit yaitu petugas pengangkut dan pengelola sampah, sebab mereka akan bersentuhan langsung dengan sampah atau kotoran tanpa menggunakan alat pelindung diri. Tujuan dari penelitian ini, yaitu untuk mengetahui hasil identifikasi telur cacing Soil Transmitted Helminths (STH) pada kuku petugas pengangkut dan pengelola sampah di TPS 3R Padangsambian Kota Denpasar, Bali. Sampel yang digunakan dalam penelitian ini yaitu sampel kuku yang diambil dari petugas pengangkut dan pengelola sampah di TPS 3R Padangsambian Kota Denpasar Bali yang berjumlah 38 sampel. Pemeriksaan telur cacing ini dilakukan dengan metode sedimentasi menggunakan larutan NaCl 0,9%. Penelitian ini dilakukan di Laboratorium Parasitologi STIKES Wira Medika Bali. Data hasil penelitian di analisa dengan cara deskriptif. Berdasarkan hasil penelitian dari sampel kuku, petugas pengangkut dan pengelola sampah di TPS 3R Padangsambian Kota Denpasar Bali diperoleh 2 sampel (5,2%) ditemukan telur cacing Soil Transmitted Helminths (STH) spesies Ascaris lumbricoides pada kedua sampel dan 36 sampel (94,8%) lainnya negatif atau tidak ditemukan telur cacing. Saran kepada para petugas pengangkut dan pengelola sampah untuk selalu menggunakan Alat Pelindung Diri secara lengkap dan tepat saat bekerja dan selalu menjaga kebersihan diri serta kebersihan lingkungan.
Abstract:Peningkatan penggunaan obat herbal di masyarakat tidak selalu diikuti pemahaman yang memadai mengenai aspek keamanan, mutu, dan potensi interaksi dengan obat medis. Kondisi ini menyebabkan masyarakat rentan mengonsumsi produk…
roduk yang tidak memiliki izin edar, mengandung klaim berlebihan, atau bahkan berisiko secara kesehatan. Kegiatan pengabdian ini bertujuan meningkatkan literasi masyarakat mengenai pemilihan obat herbal yang aman melalui penyuluhan langsung dan distribusi leaflet edukatif. Kegiatan dilaksanakan kepada pasien dan keluarga pasien di Apotek rawat jalan RSUD Bahteramas kota Kendari. Edukasi diberikan melalui ceramah, diskusi interaktif, dan demonstrasi cara memverifikasi izin edar BPOM. Hasil kegiatan menunjukkan peningkatan kesadaran peserta dalam menilai legalitas, keamanan, dan klaim produk herbal, termasuk pemahaman terhadap potensi interaksi dengan obat medis. Kegiatan ini memberikan kontribusi dalam meningkatkan kemampuan masyarakat melakukan swamedikasi secara lebih bijak dan bertanggung jawab.
Abstract:Indonesia International Institute for Life Sciences (i3L) and Lira Medika Hospital have developed a customized drug-drug interaction database, named as DDIBase. It has a comprehensive library for providing annotation-specific…
cific information toward the drug targets, mechanism, and interaction with other drugs. Hence, DDIBase is a new database with a brand-new user interface as well. In this regard, as DDIBase has currently reached beta stage of development, it is required to provide more comprehensive user feedback to improve its features. Thus, a workshop has been devised to explain the user guidelines, while a training has been conducted to provide system demo and user hand-on. The workshop and training attendees are faculty members of the i3L and Lira Medika Hospital Staffs. A survey has been developed to cater the user satisfaction toward the DDIBase. In this end, the survey has elicited good user satisfaction toward the developed user interface.
Abstract:Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone…
rone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm.
Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4
Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan.
Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4
Abstract:Abstract: Pekanbaru still using conventional traffic light control system. Pekanbaru as the capital of Riau Province is predicted udergo the increased of urban population by 54.5% in 2025. It is important for Pekanbaru…
ru to immediately implement smart and efficient traffic management system, so that traffic congestion can be resolved quickly. This research paper provides a design solution for smart traffic light management (Smart Traffic Control System), based on object detection technology that uses deep learning to detect the number and type of vehicles. The number of vehicle is the basis for determining the green light timer automatically. The Smart Traffic Control System (STCS) is integrated with a web based geographic information system (smart map) that can display the current condition (picture, the number of vehicle, congestion level) of each STCS location. This integrated system has been tested on a traffic light prototype, using a mini computer and a miniature vehicle. This integrated system is able to detect 9 out of 12 vehicles, and able to send data regularly to the smart map.
Keywords: deep learning; smart mobility; smart traffic control system
Abstrak: Pengaturan lampu lalu lintas di Kota Pekanbaru masih dilakukan secara konvensional. Pekanbaru sebagai ibukota Provinsi Riau diprediksikan akan mengalami peningkatan jumlah penduduk perkotaan sebesar 54,5% pada tahun 2025. Dengan melihat predikisi ini, penting bagi kota Pekanbaru untuk segera memiliki tata kelola lalu lintas yang cerdas dan efisien agar kemacetan dapat ditanggulangi dengan cepat. Penelitian ini memberikan rancangan solusi untuk tata kelola lampu lalu lintas cerdas (Smart Traffic Control System), berbasis teknologi object detection yang menggunakan deep learning untuk mendeteksi jumlah dan jenis kendaraan. Jumlah kendaraan menjadi dasar penentuan timer lampu hijau secara otomatis. Smart Traffic Control System (STCS) terintegrasi dengan sistem informasi geografis berbasis web (smart map) yang secara kontinu menerima informasi kepadatan (gambar terkini, jumlah kendaraan, level kepadatan), kemudian menampilkannya diatas peta Kota Pekanbaru. Solusi sistem terintegrasi ini telah diujikan pada sebuah prototipe lampu lalu lintas, menggunakan komputer mini dan miniatur kendaraan. Sistem terintegrasi ini mampu mendeteksi 9 dari 12 kendaraan, dan mampu mengirimkan data secara berkala kepada smart map.
Kata kunci: deep learning; smart mobility; smart traffic control system