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All Journal PROFICIO: Jurnal Pengabdian Masyarakat Newton-Maxwell Journal of Physics JAKBS JEBD Cendekia : Jurnal Pendidikan dan Pengajaran
Muhammad Nur Rizqi
Unknown Affiliation
Humanities Astronomy Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Physics Social Sciences Other

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Analisis Kinerja Keuangan Terhadap Harga Saham Perusahaan Telekomunikasi Yang Terdaftar Di Bursa Efek Indonesia Rahmah Apriliani; Diah Yudhawati; Muhammad Nur Rizqi
Jurnal Ekonomi dan Bisnis Digital Vol. 2 No. 2 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

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Abstract

This research aims to find out whether the Profitability Ratio, Liquidity Ratio and Solvency Ratio have an effect either simultaneously or simultaneously on Telecommunication Companies listed on the Indonesia Stock Exchange (BEI). The variables used in this research are Return On Asset Current Ratio and Debt to Equity Ratio. The population used in this research was 22 companies and the sample that met the criteria (purportive sampling) was 8 companies. Data collection techniques in this research use documentation techniques and literature studies used in this research are secondary data sources published by the official website of the Indonesia Stock Exchange (BEI) www.idx.co.id. The data analysis techniques in this research are descriptive analysis techniques, panel data regression, multiple linear analysis techniques, hypothesis testing and coefficient of determination. Data processing uses EVIEWS version 12. The research results partially have profitability and solvency having a significant effect on stock prices but partially liquidity has no significant effect on stock prices. Simultaneously, profitability, liquidity and solvency have a significant effect on the share prices of telecommunications companies listed on the Indonesia Stock Exchange (BEI).
SURVEI KEMAMPUAN SISWA DALAM MELAKUKAN SHOOTING PADA KEGIATAN EKSTRAKURIKULER OLAHRAGA SEPAK BOLA Muhamad Rohadi; Imran; Muhammad Nur Rizqi
CENDIKIA Vol 3 No 2 (2020): CENDEKIA
Publisher : IKIP PGRI KALIMANTAN TIMUR

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Abstract

Belum pernah diadakannya evaluasi keterampilan teknik dasar sepak bola ekstrakurikuler olahraga sepak bola di SMP Negeri 1 Sebulu merupakan dasar penelitian ini di lakukan. Agar dapat mengetahui tingkat kemampuan teknik dasar permainan sepak bola. Agar dapat mengetahui tingkat kemampuan teknik dasar shooting siswa. Desain penelitian ini adalah deskriptif dengan metode survei. Teknik pengumpulan data menggunakan tes. Yang populasi penelitian adalah seluruh siswa yang mengikuti ekstrakurikuler sepak bola, yang berjumlah 29 siswa putra. Penelitian ini menggunakan populasi keseluruhan sebagai sampel. Instrumen dalam penelitian ini menggunakan tes Fenanlampir yang di pakai tes kemampuan shooting. Skor yang di peroleh kemudian di analisis dengan teknik statistik yang di tuangkan dalam bentuk persentase. Berdasarkan penelitian dan pembahasan dapat di simpulkan bahwa kemampuan teknik dasar kemampuan shooting siswa yang mengikuti kegiatan ekstrakurikuler sepak bola di SMP Negeri 1 Sebulu katagori sangat baik terdapat 3 orang sebesar 10,34% katagori baik terdapat 13 orang sebesar 44,83% katagori sedang terdapat 12 orang sebesar 41,38% katagori kurang terdapat 1 orang sebesar 3,45% katagori sangat kurag terdapat 0% Jelas terlihat bahwa katagori baik adalah kriteria hasil tes shooting siswa ekstrakulikuler olahraga sepak bola SMP Negeri 1 Sebulu yang terbanyak yaitu dengan jumlah siswa 13 orang
SOLARISLIGHT : SISTEM PENERANGAN BERKELANJUTAN MENGGUNAKAN IOT DAN SOLAR CELL SYSTEM UNTUK EFISIENSI ENERGI PADA DESA WISATA CIASMARA Syifa Nurgaida Yutia; Aisyah Novfitri; Annisa Desianty; Alva Nurvina Sularso; Hakim Giraldi Saputra; Muhammad Nur Rizqi
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 1 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : FKIP UNIVERSITAS TUNAS PEMBANGUNAN SURAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jpf.v7i1.6134

Abstract

Kegiatan Pengabdian Masyarakat yang diadakan di desa Ciasmara di kabupaten Bogor bertujuan untuk meningkatkan infrastruktur berupa fasilitas umum penerangan lampu jalan sebagai bagian dari rencana desa Ciasmara sebagai desa wisata. Fasilitas penerangan lampu jalan berbasis IoT dan solar panel bertujuan untuk memberikan lingkungan yang aman, nyaman bagi para wisatawan, dan menciptakan energi bersih. Penerangan jalan menggunakan teknologi IoT dan Solar Panel menawarkan perawatan yang mudah dan tahan lama, dan tidak membebani biaya listrik desa. Sehingga teknologi ini menjadi solusi terbaik untuk alternatif di daerah terpencil. Tahapan implementasi program SolarisLight dimulai dengan kegiatan observasi untuk melakukan pemetaan titik penanaman tiang lampu. Proses perancangan dan pembuatan alat membutuhkan waktu satu minggu sebelum dilakukan pemasangan solar panel dan sistem IoT. Lima titik lampu penerangan ditenagai dengan kapasitas baterai sebesar 12V 300Ah dalam panel box mampu memberi ketahanan pencahayaan hingga 2 hari di malam hari. Sistem IoT yang diintegrasikan dengan panel surya memungkinkan adanya pemantauan parameter kelistrikan secara real time. Pemberian buku manual dan kegiatan sosialisasi penggunaan SolarisLight dilakukan agar masyarakat desa wisata Ciasmara dapat memonitoring sistem Solarislight melalui aplikasi yang diakses menggunakan smartphone. Hasil survei kepuasan mitra menunjukan adanya peningkatan jumlah wisatawan di desa Ciasmara setelah implementasi sitem SolarisLight. Dengan adanya hasil ini, diharapkan dapat menjadi program pengabdian masyarakat yang berkelanjutan.
Prediksi Trajektori dan Intensitas Siklon Tropis Menggunakan Pendekatan Multi-Task Learning Berbasis Recurrent Neural Network Syahid, Wisnu; Putu Aldi Tusan Pratama; Muhammad Nur Rizqi; Yosik Norman
Newton-Maxwell Journal of Physics Vol. 7 No. 1: April 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v7i1.47955

Abstract

The limited ability of Numerical Weather Prediction (NWP) models to capture nonlinear dynamics and atmospheric uncertainty remains a major challenge in improving tropical cyclone forecasts, particularly over the eastern Indian Ocean. This study evaluates a Multi-Task Learning approach based on several Recurrent Neural Network (RNN) variants, namely LSTM, BiLSTM, GRU, and BiGRU, to simultaneously predict three key cyclone components: position (latitude and longitude), wind intensity, and cyclone category. Historical IBTrACS data from 2000 to 2025 with a 3-hour temporal resolution are used as model input, employing 48-hour sequences to forecast cyclone conditions at lead times of 12, 24, 48, and 72 hours. The results show that all models achieve stable convergence during training. At a 12-hour lead time, the BiLSTM model delivers the best performance, with a mean position error of 83.53 km and a Hit Rate of 0.966, outperforming the other models. For longer lead times (24–72 hours), the BiGRU model demonstrates the most stable positional accuracy, exhibiting the lowest error degradation as the forecast horizon increases. In addition, wind intensity predictions remain robust, with a Mean Absolute Error (MAE) below 4.6 knots up to 72 hours. These findings highlight the potential of multi-output RNN-based models to support more adaptive and efficient tropical cyclone forecasting systems.
Peranan Analisis Varians Dalam Pengendalian Dana Penanganan Fakir Miskin Dibidang Perlindungan Dan Jaminan Sosial (Studi Kasus Dinas Sosial Kabupaten Bogor) Safira, Safira; N.A. Rumiasih; Muhammad Nur Rizqi
Jurnal Akuntansi Keuangan dan Bisnis Vol. 4 No. 1 (2026): April - Juni
Publisher : CV. ITTC INDONESIA

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Abstract

Addressing poverty is a priority in social welfare development in Bogor Regency. To support this program, the government allocates funds through the Bogor Regency Social Service, particularly in the area of Social Protection and Security. However, the effectiveness of budget management is often questioned due to discrepancies between budget plans and their realization. This study aims to analyze the role of variance analysis in controlling funds for the handling of the poor in order to improve the efficiency and accountability of budget management. This study uses a qualitative approach with descriptive methods, and applies variance analysis techniques to budget and realization data at the Bogor Regency Social Service during the 2022–2024 period. Data was obtained through documentation and interviews. The results of the study show that for three consecutive years, the budget realization was always below the budget ceiling with a positive (favorable) variance, amounting to 9% (2022), 6% (2023), and 4% (2024), respectively. This difference was due to efficiency in the use of funds, not because of obstacles in program implementation. These findings indicate that variance analysis can be used as an effective control tool in identifying budget differences, evaluating fund management performance, and providing a basis for improving the planning of the following year's budget. This study also provides practical contributions to government agencies in improving the transparency and accountability of public financial management, as well as serving as a reference in the application of budget evaluation methods in the social sector.
Co-Authors Aisyah Novfitri Alva Nurvina Sularso Annisa Desianty Diah Yudhawati Hakim Giraldi Saputra Imran Muhamad Rohadi N. A. Rumiasih Putu Aldi Tusan Pratama Rahmah Apriliani Safira, Safira Syahid, Wisnu Syifa Nurgaida Yutia Yosik Norman