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All Journal Jurnal Pengabdian UntukMu NegeRI JURTEKSI PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat MANDAR: Management Development and Applied Research Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) International Journal on Social Science, Economics and Art Daengku: Journal of Humanities and Social Sciences Innovation Jurnal Pendidikan Jasmani Khatulistiwa Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan International Journal of Applied Finance and Business Studies Jurnal of Applied Business and Banking (JABB) Center of Knowledge Jurnal Sistem Informasi dan Teknik Informasi Filantropi: Jurnal Manajemen Zakat dan Wakaf JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Journal Sport Academy (JSA) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Journal of Software Engineering and Information System (SEIS) International Journal of Enterprise Modelling PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Economic: Journal Economic and Business Journal Sport Academy
Rahmad Firdaus
Fakultas Kedokteran Universitas Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Dampak Pelatihan Pengelolaan Keuangan Terhadap Kesejahteraan Ekonomi Keluarga di Desa Paku Kecamatan Payung Bangka Selatan Adriana, Nana; Firdaus, Rahmad; Sani Akbar, Jufri; Makrus, Mohammad; Hidayati, Nur
Center of Knowledge : Jurnal Pendidikan Dan Pengabdian Masyarakat Volume 5 Nomor 2 Agustus 2025
Publisher : Pusdikra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/cok.v5i2.2843

Abstract

Keterbatasan literasi keuangan menjadi salah satu penyebab rendahnya kesejahteraan ekonomi keluarga di wilayah pedesaan, termasuk di Desa Paku Kecamatan Payung, Bangka Selatan, yang mayoritas penduduknya bergantung pada sektor pertanian dan perikanan. Program ini bertujuan meningkatkan keterampilan pengelolaan keuangan rumah tangga melalui pelatihan berbasis partisipasi masyarakat yang menekankan pada penyusunan anggaran, kebiasaan menabung, serta pengendalian utang konsumtif. Kegiatan dilaksanakan dengan metode partisipatif-deskriptif, melibatkan warga sejak tahap perencanaan hingga evaluasi, dengan teknik pengumpulan data melalui observasi, wawancara, dan diskusi kelompok terarah terhadap 40 peserta. Analisis dilakukan secara deskriptif-tematik untuk mengidentifikasi perubahan perilaku dan inisiatif ekonomi pascapelatihan. Hasil menunjukkan peningkatan signifikan pada kemampuan peserta mengatur anggaran, memprioritaskan kebutuhan, serta mengelola pendapatan secara lebih efektif. Selain itu, terbentuk kelompok simpan pinjam desa yang menjadi wadah keberlanjutan praktik keuangan sehat. Kesimpulannya, pelatihan pengelolaan keuangan berbasis partisipasi tidak hanya meningkatkan kapasitas literasi keuangan keluarga tetapi juga memperkuat modal sosial dalam mendorong kemandirian ekonomi desa.
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

Abstract

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

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

Abstract

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.
Kombinasi Algoritma Gaussian Naïve Bayes Dan Adaboost Untuk Meningkatkan Akurasi Dalam Klasifikasi Penyakit Diabetes Handayani, Fitri; Firdaus, Rahmad; Wahyudi, Ashari; Fu'adah Amran, Hasanatul; Medikawati Taufiq, Reny
JURNAL FASILKOM Vol. 15 No. 2 (2025): 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.v15i2.9279

Abstract

Diabetes mellitus adalah penyakit metabolik kronis yang dapat menyebabkan komplikasi serius jika tidak terdeteksi dini. Penelitian ini bertujuan untuk meningkatkan akurasi klasifikasi diabetes dengan menggabungkan algoritma Gausian Naïve Bayes dan Adaboost menggunakan teknik ensemble learning. Ensemble learning adalah metode dalam pembelajaran mesin yang meningkatkan akurasi model dengan menggabungkan prediksi dari beberapa model yang berbeda. Teknik ini mengintegrasikan model-model yang mungkin memiliki performa kurang optimal secara individu untuk membentuk model yang lebih unggul. Adaboost memberikan bobot lebih besar pada sampel yang sulit diklasifikasikan, sehingga efektif dalam menangani data yang kompleks dan tidak seimbang. Dataset yang digunakan berasal dari Sylhet Diabetes Hospital, Bangladesh, yang berisi data kuesioner yang telah diverifikasi oleh dokter. Evaluasi menggunakan Confusion Matrix menunjukkan bahwa kombinasi Gausian Naïve Bayes dan Adaboost meningkatkan akurasi klasifikasi diabetes secara signifikan. Model ini mencapai akurasi 96.1% pada pembagian data 80:20, lebih tinggi dibandingkan Naïve Bayes tunggal (87.69%). Precision tertinggi (100%) tercatat pada pembagian data 80:20, dengan recall stabil pada 93.7%–94%, dan F1-Score tertinggi sebesar 96.7%. Hasil ini menunjukkan bahwa kombinasi kedua algoritma melalui teknik ensemble learning dapat saling melengkapi dan meningkatkan performa klasifikasi, menjadikannya lebih efektif dalam identifikasi diabetes
Sistem Penunjang Keputusan PNS Berprestasi dan Teladan Dilingkungan Dinas Kominfo Kabupaten Tanah Datar Menggunakan Metode SAW Firdaus, Rahmad
Jurnal SANTI - Sistem Informasi dan Teknik Informasi Vol. 1 No. 1 (2021)
Publisher : Yayasan Rahmatan Fiddunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.98 KB) | DOI: 10.58794/santi.v1i1.10

Abstract

Sistem Penunjang Keputusan merupakan sebuah sistem yang dibuat untuk menunjang seseorang membuat keputusan yang akurat dan tepat. Menurut data yang didapat dari Dinas Komunikasi dan Informatika Kabupaten Tanah Datar saat ini pelaksanaan kegiatan PNS berprestasi dan teladan menerapkan sistem pencatatan manual yang datanya masih direkap menggunakan Microsoft excel sehingga hal tersebut masih dibilang tidak efektif dan efisien dalam pengolahan data serta pengambilan keputusan yang masih terbilang subjektif tanpa adanya data pendukung dan nilai yang pasti terhadap sebuah keputusan sehingga menimbulkan pertanyaan dan menjadi buah bibir oleh Pegawai Negeri Sipil yang lain. Untuk menyelesaikan permasalahan tersebut dibutuhkan aplikasi SPK berbasis web dengan menggunakan metode Simple Additive Weight (SAW) untuk menunjang pelaksanaan kegiatan PNS berprestasi dan teladan. Aplikasi tersebut dikembangkan dengan kerangka website HTML, dengan bahasa pemrograman PHP dan MySQL sebagai database. Hasil akhir dari penelitian ini adalah terciptanya aplikasi Sistem Penunjang Keputusan PNS berprestasi dan teladan yang dapat menunjang pelakasanaan kegiatan.
ANALISIS PERILAKU MASYARAKAT DALAM MENUNAIKAN ZAKAT PERTANIAN Firdaus, Rahmad; Sartika, Cici
Filantropi : Jurnal Manajemen Zakat dan Wakaf Vol. 3 No. 2 (2022): Filantropi
Publisher : Program Studi Manajemen Zakat dan Wakaf

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/finalmazawa.v3i2.5894

Abstract

As for the results of the research, the authors found that the behavior of muzakki in paying agricultural zakat was carried out by means of self-calculation, namely by using the method of calculating agricultural zakat 71.4% and 28.6% by using calculations that did not follow sharia rules, namely in accordance with sincerity. Most of the muzakki pay zakat according to haul 92.9% and those who pay during Ramadan 7.1%. While the place to pay zakat, most of the muzakki pay directly to mustahik 92.9%, namely mosques, neighbors or families who are less fortunate and 7.1% pay through BAZNAS institutions. As well as the forms of agricultural zakat distributed by muzakki there are in two forms, namely in the form of cash and rice. 71.4% of the interviewees paid in cash and 28.6% paid zakat in the form of rice or paddy. Zakat adalah pengeluaran harta yang wajib dikeluarkan oleh orang muslim dan diberikan membantu program pemerintah dan mengentaskan kemiskinan. Maka dari itu membayar zakat dapat berguna juga untuk kemajuan suatu negara. peran zakat adalah sebagai pengendali keuangan di dalam negara yang dikenal dengan kebijakan moneter. Karena zakat termasuk dalam pendapatan negara yang disalurkan untuk mensejahterakan masyarakat di bidang ekonomi seperti, kesempatan peluang kerja, keadilan distribusi pendapatan dan kekayaan, serta stabilitas nilai uang.kepada golongan yang berhak menerimanya untuk memenuhi kebutuhan serta meningkatkan pemerataan pertumbuhan ekonomi. Membayar zakat sangat memberi manfaat untuk kehidupan karena dapat meningkatkan iman seseorang pada Allah SWT. Selain itu, zakat juga ikut.
The Influence of Social Media and Financial Education on Investment Interest with Investment Promotion as a Mediation Variable Ernasari, Desi; Suhardi, Suhardi; Firdaus, Rahmad
Economic: Journal Economic and Business Vol. 4 No. 2 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i2.1002

Abstract

This study analyzes the influence of social media and financial education on investment interest among young people, with investment promotion as a mediating variable. Using a quantitative approach and path analysis, data were obtained from 180 respondents aged 17–30 years in the Bangka Belitung Islands Province. The results showed that financial education had a significant effect on investment promotion and investment interest. Social media had a significant effect on investment promotion, but not directly on investment interest. Investment promotion also did not significantly mediate the relationship between social media and investment interest. These findings emphasize the importance of financial education as a major factor in increasing investment interest among the younger generation in the digital era. The practical implication is the need for integration between digital marketing communication strategies and sustainable financial literacy programs. Further research is recommended to explore moderating variables such as trust in financial institutions and digital literacy for a deeper understanding of investment behavior among the younger generation.
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

Abstract

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 : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

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

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 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
PENGELOLAAN AKUNTANSI KEUANGAN, PEMBERDAYAAN SDM DAN MANAJEMEN BUMDes DESA SEMPAN KABUPATEN BANGKA Saliman, Abdul Rasyid; Adriana, Nana; Hamdan, Hamdan; Afrizal, Afrizal; Deseria, Rita; Firdaus, Rahmad
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 4 No 2 (2023): Jurnal Pengabdian Pendidikan Masyarakat Vol 4 No 2 (2023)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v4i2.1350

Abstract

The community service program aims to provide education and guidance to the Management of Village-Owned Enterprises (BUMDes) and relevant community representatives, in order to support the implementation of BUMDes management tasks. This initiative involves a series of training sessions, such as in the fields of financial accounting, human resource empowerment, and management in the village of Sempan, located in the Pemali Subdistrict, Bangka Regency. The establishment of BUMDes is undertaken with a strong intention to realize economic empowerment in the village of Sempan, which holds significant economic potential. BUMDes also carries the responsibility to transparently and accountably compile financial reports for its business units on a monthly basis. However, there are several challenges that need to be addressed, including the lack of collaboration among various relevant parties in the village and a limited understanding of BUMDes management. Through the implementation of this community service program, the outcomes achieved include enhancing the understanding of village officials and BUMDes managers regarding BUMDes governance in Sempan Village, Pemali Sub-district, Bangka Regency. Furthermore, the knowledge and skills of BUMDes managers in financial management and financial reporting are improved. Furthermore, it is anticipated that this community service program will result in an optimal BUMDes management approach, capable of empowering the community, increasing Village Original Income, reducing social disparities, and transforming the village into a more self-reliant entity.
Co-Authors - Afrizal Aditya Ahmad Fauzi Alris Gusnanda Amin, Mat Amran, Hasanatul Fu'adah Anandita, Sevtia Andinata Anton, Anton Kurnia Hadisaputro Arsita, Herlin Bayu Anugerah Putra Br Bangun, Elsi Titasari dedi kurniadi Deseria, Rita Dian Utami Dicky Pratama Edwin Syahada, Levania Ernasari, Desi Fadila, Wahyu Fakhira Frisya Ramadhani Fatma, Yulia Fithriawan Nugroho Fitri Handayani Fitri, Nurkhairi Fu'adah Amran, Hasanatul Gunawan, Rahmad Hamdan Hamdan Hanum Salsabila Harun Mukhtar Hayami, Regiolina Herdiansyah, Sayyid Hermanto Hermanto Indinastin, Indinastin Jihan Aulia Junaidi Abdillah Kismiadi, Kismiadi Lambas Siregar, Jenni Makrus, Mohammad Marna, Marna Maryani, Cik Mat Amin Mualfah, Desti Muarif, Putri Fadhilla Muhammad Suhairi, Munir Munir, Munir Nana Adriana Nur Hidayati Prihatin, Ananda Putra, Gope Mandala Rafdi, Faris Abi Rajaguguk, Rifaldi Febriansyah Rejeki, Nadia Sri Rian Fauzi Rico Apriandika Rizqy, Riza Rindriani Saliman Saliman Sani Akbar, Jufri Sartika, Cici Septiana Srinandini Soni Sri Rejeki, Nadia Sugianto Suhardi Suhardi Suhardi Suhardi Suhardi Sunanto Sunanto Sunanto Suputra, Adi Sutiono Suwanto, Fredy Syahril Syahril Taufiq, Reny Medikawati Tri Agustin, Tri Wahyudi, Ashari Windari, Ayu Wiyanti S, Lina Wulandaru, Ega Yeremia, Deryl Andeya Zidan, Abiyyu Al Thoriq Zumalia Zusyah Porja Daryanto