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Hubungan Kecepatan Lari Dan Daya Ledak Otot Tungkai Dengan Hasil Kemampuan Lompat Jauh Gaya Jongkok Firdaus, Rahmad; Anton, Anton Kurnia Hadisaputro
Jurnal Pendidikan Jasmani Khatulistiwa Vol 2, No 1: : Mei 2021 Jurnal Pendidikan Jasmani Khatulistiwa
Publisher : Universitas Tanjungpura

Penelitian ini bertujuan untuk mengetahui Â hubungan yang dimiliki oleh daya ledak pada otot tungkai dan kecepatan saat lari yang dimiliki peserta didik Madrasah Tsanawiyah Negeri Ketapang. Penelitian ini menggunakan metode kuantitatif dan bentuk penelitian yaitu study korelasi. Hasil penelitian ini menunjukan kecepatan lari memiliki hubungan dengan keterampilan lompat jauh didapatkan korelasi rx1y = 0,410. Lebih besar dari rtabel = 0,367. Dan korelasi keterampilan lompat jauh dengan daya ledak otot tungkai mendapatkan haasil korelasi rx2y = 0,626. Lebih besar dari rtabel = 0,367. Serta korelasi dari daya ledak otot tungkai serta kecepatan lariÂ memiliki kemampuan lompat jauh RhitungÂ sebesar 0,641Â dengan kategori kuat. Dari penelitian ini dapat disimpulkan bahwa terdapat hubungan dari lompat jauh gaya jongkok dengan kemampuan kecepatan lari dan daya ledak otot tungkai pada peserta didik kelas VIII di Madrasah Tsanawiyah Negeri Ketapang.

ANALISIS PERBANDINGAN IPv4 DENGAN IPv6 PENGGUNAAN CCTV BERBASIS AREA TRAFFICT CONTROL SECURITY (ATCS) Mualfah, Desti; Putra, Gope Mandala; Firdaus, Rahmad
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 2 No. 1 (2022)
Publisher : Department of Information System Muhammadiyah University of Riau

Internet access is an activity that cannot be separated from the needs of the community, it can be seen from the many activities that use TCP/IP-based internet access. The use of the internet protocol using IPv4 which is currently starting to not meet human needs, it is recommended to be able to implement IPv6 which has a simple header and has a better QoS (Quality of Service). One of these IPv6 is applied to traffic CCTV cameras based on ATCS (Area Traffic Control Security) which works to unify and record traffic activities for 24 hours in the hope that the video streaming results have better network quality.

Teknik SMOTE untuk Mengatasi Imbalance Data pada Deteksi Penyakit Stroke Menggunakan Algoritma Random Forest Mualfah, Desti; Fadila, Wahyu; Firdaus, Rahmad
Computer Science and Information Technology Vol 3 No 2 (2022): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v3i2.3912

Stroke merupakan penyakit yang berpotensi menyebabkan kelumpuhan bahkan kematian. Pada tahun 2022, stroke terdapat 12,2 juta kasus stroke baru yang menambah jumlah total penderita stroke sebesar 101,4 juta. Dari perolehan data maka diperlukan sebuah teknik yang mampu melakukan deteksi pada penyakit tersebut untuk membantu dalam mendeteksi penyakit stroke, dalam hal ini pendekatan machine learning sebagai salah satu solusi yang dapat digunakan untuk melakukan deteksi pada penyakit stroke. Namun sayangnya data yang diperoleh dalam mendeteki penyakit stroke ditemukan adanya imbalance class dalam menangani tidak imbangnya class sehingga dapat mempengaruhi hasil nilai akurasi dalam mendekteksi penyakit stroke, untuk itu dibutuhkan sebuah algoritma random forest dan metode SMOTE dalam menangani imbalance class. Output yang dihasilkan ialah berupa nilai akurasi, presisi, recall, dan f1-score pada algoritma random forest tanpa SMOTE sebesar 0.98, 0.69, 0.51, dan 0.51. Sedangkan algoritma random forest dengan SMOTE mendapatkan masing-masing sebesar 0.91, 0.92, 0.91, 0.91. Terjadi kenaikan signifikan pada presisi, recall, dan f1-score.

Peningkatan Kemampuan Lompat Jauh dengan Menggunakan Media Kardus Bekas Kelas V SDN 12 Pelerang Kecamatan Sukadana Kabupaten Kayong Utara Firdaus, Rahmad; Porja Daryanto, Zusyah
Journal Sport Academy Vol. 2 No. 1 (2023): Juni 2023
Publisher : IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/jsa.v2i1.42

Sports activities for fifth grade elementary school students are not an abstract experience. Therefore, the use of used cardboard teaching aids is very important to make it easier for students to learn long jump practice. One of the alternative props that can be used in long jump practice is Used Cardboard. The purpose of this study was to find out how the use of Used Cardboard teaching aids can improve Long Jump abilities in fifth grade students at SDN 12 Pelerang Sukadana sub-district, North Kayong district. After carrying out classroom action research for 2 research cycles, in general it can be said that by using used cardboard (KB) teaching aids, the ability of students quantitatively in the form of long jump ability and qualitatively in the form of interest, attention, participation, and student achievement has increased.

Survei Survei Event Quality pada Kejuaran Proliga Bolavoli di Pontianak Berdasarkan Persepsi Penonton Firdaus, Rahmad; Andinata; Muhammad Suhairi,
Journal Sport Academy Vol. 3 No. 1 (2024): Juni 2024
Publisher : IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/jsa.v3i1.107

This study aims to examine and understand sports spectators' perceptions of service quality at the Proliga Volleyball event in Pontianak. The research uses a descriptive method with both qualitative and quantitative approaches. The survey method was employed, with data collected through questionnaires and analyzed using SPSS, utilizing percentage formulas from the survey data. The instrument used was a questionnaire. The study population included men and women who had attended the Proliga event, with a sample of 170 respondents located in Pontianak. The data analysis results showed that the estimated values for all variable relationships were greater than 0.5, with a value of 1.000. The indicators with average distribution ratings are: (1) game quality with sub-indicators: Skill Performance at 86.9% and Operating Time at 91.5%; (2) augmented service quality with sub-indicators: Information at 93.5%, Entertainment at 89.5%, and Concessions at 79.5%; (3) interaction quality with sub-indicators: Committee Interaction at 83.3% and Fan Interaction at 81.8%; (4) outcome quality with sub-indicators: Sociability at 83.4% and Valence at 92.7%; (5) physical environment quality with sub-indicators: Ambience at 92.7%, Design at 93.2%, and Signage at 88.5%. The analysis and discussion results indicate that the satisfaction of spectators' perceptions regarding the quality of the Proliga event was rated as good. The model test showed that all Event Quality criteria were met and satisfactory. Based on the analysis results, it is concluded that game quality, augmented service quality, interaction quality, outcome quality, and physical environment quality can be considered dimensions of service quality for the event.

Density Based Clustering Untuk Pemetaan Daerah Rawan Gempa Bumi Di Wilayah Sumatera Barat Menggunakan Metode DBSCAN Taufiq, Reny Medikawati; Firdaus, Rahmad; Handayani, Fitri; Muarif, Putri Fadhilla; Rizqy, Riza Rindriani
JURNAL FASILKOM Vol. 14 No. 3 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i3.8833

Earthquakes are natural disasters that cannot be prevented or avoided. One of the areas affected is the West Sumatra region, where West Sumatra is one of the regions in Indonesia which is in the Sumatra basin which is vulnerable to earthquakes. Therefore, density-based clustering analysis can be carried out which aims to produce a point map of earthquake-prone areas in the West Sumatra region using the Density Based Spatial Clustering of Application with Noise (DBSCAN) method. In implementing the DBSCAN algorithm, epsilon and minpts parameters are required using the K-Nearest Neighbors method with evaluation of results using the Silhouette Coefficient. The results of DBSCAN clustering using KNN input parameters obtained a total of 3 clusters and 1 noise with a silhouette coefficient value of 0.310 from the 2010-2023 data period. However, from the testing stage without using KNN, we got a high silhouette score, namely 0.890 with 2 clusters and 1 noise.

Analisis Infrastruktur Teknologi Informasi untuk Mendukung Kelangsungan Bisnis pada Platform E-Commerce Firdaus, Rahmad; Zidan, Abiyyu Al Thoriq; Rajaguguk, Rifaldi Febriansyah; Suwanto, Fredy; Yeremia, Deryl Andeya; Pratama, Dicky
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp35-45

This research analyzes the implementation of information technology infrastructure in supporting business continuity of e-commerce platforms, focusing on risk management, security, and performance optimization aspects. Using a qualitative methodology with a case study approach, this research integrates COBIT and ITIL frameworks to evaluate IT infrastructure management effectiveness. The results show that the e-commerce platform has achieved 99.95% availability with an average response time of 180ms for standard transactions. The implementation of hybrid cloud-based microservices architecture provides optimal flexibility and scalability in handling demand fluctuations up to 400% from baseline load. Security analysis reveals the effectiveness of zero-trust architecture implementation with a threat detection rate of 98.5%. The integration of COBIT and ITIL frameworks resulted in a 47% increase in IT governance effectiveness, with the DSS domain achieving the highest maturity score of 4.5. This research recommends strategic development including migration to cloud-native architecture, implementation of AI/ML for resource optimization, and strengthening security capabilities through advanced threat detection.

TRAFFIC FLOW DETECTION USING YOLOV4 AND DEEPSORT ON NVIDIA JETSON NANO Taufiq, Reny Medikawati; Syahril, Syahril; Rafdi, Faris Abi; Firdaus, Rahmad; Sunanto, Sunanto; Muarif, Putri Fadhilla
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 3 (2025): Juni 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i3.3871

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 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

Pelatihan Budidaya Ikan Air Tawar dan Peluang Pemasaran: Freshwater Fish Cultivation Training and Marketing Opportunities Firdaus, Rahmad; Hermanto, Hermanto; Nugroho, Fithriawan; Maryani, Cik; Fauzi, Aditya Ahmad; Suhardi, Suhardi; Marna, Marna
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 5 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i5.9198

The freshwater fish farming and digital marketing training program for communities in Central Bangka Regency aims to improve participants' technical skills and marketing abilities to support the regional economy. This program is implemented through activities including theoretical learning about aquaculture, direct practice, and digital marketing training. This Community Service activity uses survey and observation methods to measure the impact of training on participants' technical understanding, productivity, and income. The results of the community service activities showed a significant increase in technical knowledge, digital marketing skills, and aquaculture productivity. Participants' understanding of pond management, seed selection, feeding techniques, and disease control increased significantly. In addition, participants' average monthly income increased by 30% after training. This program effectively equips communities with relevant skills, demonstrating that integrated training that includes technical and digital marketing aspects can drive economic growth in rural communities.

Peningkatan Kemampuan Lompat Jauh dengan Menggunakan Media Kardus Bekas Kelas V SDN 12 Pelerang Kecamatan Sukadana Kabupaten Kayong Utara Firdaus, Rahmad; Porja Daryanto, Zusyah
Journal Sport Academy Vol. 2 No. 1 (2023): June 2023
Publisher : Universitas PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/jsa.v2i1.42

Sports activities for fifth grade elementary school students are not an abstract experience. Therefore, the use of used cardboard teaching aids is very important to make it easier for students to learn long jump practice. One of the alternative props that can be used in long jump practice is Used Cardboard. The purpose of this study was to find out how the use of Used Cardboard teaching aids can improve Long Jump abilities in fifth grade students at SDN 12 Pelerang Sukadana sub-district, North Kayong district. After carrying out classroom action research for 2 research cycles, in general it can be said that by using used cardboard (KB) teaching aids, the ability of students quantitatively in the form of long jump ability and qualitatively in the form of interest, attention, participation, and student achievement has increased.

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