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Identifikasi Sebaran Nitrogen pada Tanaman Padi berbasis Pengetahuan Fenologi dan Remote Sensing Sudianto Sudianto; Reni Dyah Wahyuningrum
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 11 No. 3 (2022)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v11i3.50051

Abstract

Nitrogen sangat penting untuk keberlanjutan tanaman padi. Kebutuhan nitrogen pada tanaman padi berguna untuk produktivitas dan peningkatan hasil panen. Masalah yang sering terjadi, kekurangan dan berlebihan nitrogen, juga tidak cocok untuk tanaman, terutama pada puncak fenologi tanaman padi. Oleh karena itu, penelitian ini bertujuan untuk identifikasi sebaran nitrogen pada tanaman padi pada puncak fenologi tanaman. Identifikasi nitrogen dilakukan dengan data citra satelit dan indikator indeks spectral seperti NDVI, NDRE, NDMI, dan data curah hujan. Selain itu, pemodelan tren musiman dibangun dengan regresi linier dan model harmonik sebagai basis pengetahuan untuk pola penanaman padi dari fenologi tanaman. Hasil yang diperoleh menunjukkan puncak penanaman padi dalam satu tahun masa tanam, terdapat dua siklus puncak; (1) dari bulan Januari hingga Maret; (2) dari bulan Juli hingga Agustus. Kemudian pada siklus puncak penanaman kedua, konservasi terhadap identifikasi sebaran nitrogen dalam kondisi normal. Sementara itu, pada siklus penanaman puncak pertama, tanaman padi pada bulan Januari ketersediaan sebaran nitrogen belum merata dan belum tercukupi.
Studies on the Use of Spectrum Sharing for Mobile Network Operator in Indonesia Lia Hafiza; Reni Dyah Wahyuningrum; Yudiansyah Yudiansyah
Journal of Informatics and Communication Technology (JICT) Vol 5 No 1
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/j_ict.v5i1.186

Abstract

Since telecom businesses have already reached their peak level of revenue, their future is expected to get worse. To save as much money as possible, greater than sixty percent of mobile network operators (MNO) in the worldwide implemented Radio Access Network-Sharing or RAN-Sharing. Earnings before interest, taxes, depreciation, and amortization (EBITDA) pressure and the limited availability of the frequency spectrum are two factors that propel. Spectrum sharing can be one solution to reduce Capital Expenditure and Operational Expenditure operator costs, address spectrum shortages and promote development across the region in Indonesia. With different coverage of underserved areas, the number of assets in the form of BTS and license of frequency spectrum usage are owned by each operator. Research on business impacts for operators needs to be assessed to be able to determine business strategy.
Studies on the Use of Spectrum Sharing for Mobile Network Operator in Indonesia Lia Hafiza; Reni Dyah Wahyuningrum; Yudiansyah Yudiansyah
Journal of Informatics and Communication Technology (JICT) Vol. 5 No. 1
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/j_ict.v5i1.186

Abstract

Since telecom businesses have already reached their peak level of revenue, their future is expected to get worse. To save as much money as possible, greater than sixty percent of mobile network operators (MNO) in the worldwide implemented Radio Access Network-Sharing or RAN-Sharing. Earnings before interest, taxes, depreciation, and amortization (EBITDA) pressure and the limited availability of the frequency spectrum are two factors that propel. Spectrum sharing can be one solution to reduce Capital Expenditure and Operational Expenditure operator costs, address spectrum shortages and promote development across the region in Indonesia. With different coverage of underserved areas, the number of assets in the form of BTS and license of frequency spectrum usage are owned by each operator. Research on business impacts for operators needs to be assessed to be able to determine business strategy.
WIDEBAND TEMPORAL CHANNEL MODEL USING POLAR CODES AND CONVOLUTIONAL CODES AT 26 GHz Reni Dyah Wahyuningrum; Udlhiya , Ida
Journal of Informatics and Communication Technology (JICT) Vol. 7 No. 1 (2025)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/jict.v7i1.411

Abstract

The rapid advancement of technology today is evident in fields such as wireless communication. Channel coding plays a crucial role in wireless communication systems because it is essential for mitigating errors and detecting them, thereby ensuring that the system’s performance meets the standards set by 5G technology. This study evaluates the Bit Error Rate (BER) performance in a Wideband Temporal/Statistical Spatial Channel Model (SSCM) using both polar and convolutional codes. The transmission system operates at a frequency of 26 GHz. The simulations for this research were conducted using Binary Phase Shift Keying (BPSK) modulation, with the simulation software utilized for testing. Additionally, the weather parameters for the city of Medan, obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG), including rainfall, air temperature, humidity, and pressure. The power delay profile showed 13 paths, and the BER vulnerability at for the polar code was found to be 3.23%. The results indicate that the polar code outperformed the convolutional code in terms of BER performance, as the polar code achieved a lower Signal-to-Noise Ratio (SNR) compared to the convolutional code
WIDEBAND TEMPORAL CHANNEL MODEL USING POLAR CODES AND CONVOLUTIONAL CODES AT 26 GHz Reni Dyah Wahyuningrum; Udlhiya , Ida
Journal of Informatics and Communication Technology (JICT) Vol. 7 No. 1 (2025)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/jict.v7i1.411

Abstract

The rapid advancement of technology today is evident in fields such as wireless communication. Channel coding plays a crucial role in wireless communication systems because it is essential for mitigating errors and detecting them, thereby ensuring that the system’s performance meets the standards set by 5G technology. This study evaluates the Bit Error Rate (BER) performance in a Wideband Temporal/Statistical Spatial Channel Model (SSCM) using both polar and convolutional codes. The transmission system operates at a frequency of 26 GHz. The simulations for this research were conducted using Binary Phase Shift Keying (BPSK) modulation, with the simulation software utilized for testing. Additionally, the weather parameters for the city of Medan, obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG), including rainfall, air temperature, humidity, and pressure. The power delay profile showed 13 paths, and the BER vulnerability at for the polar code was found to be 3.23%. The results indicate that the polar code outperformed the convolutional code in terms of BER performance, as the polar code achieved a lower Signal-to-Noise Ratio (SNR) compared to the convolutional code