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THE FEASIBILITY OF FUSING SATELLITE IMAGERIES FOR HIGH-FREQUENCY SEA LEVEL MONITORING Putri, Andriani; Nazhifah, Sri Azizah; Ridho, Abdurrahman; Maghfirah, Hayatun; Mutia, Cut; Niani, Cukri Rahmi; Sanusi, Sanusi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 8, No 1 (2024)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v8i1.23504

Enhancing the capacity to monitor swift environmental shifts at finer scales requires satellite image that offers high spatial and temporal resolution. However, no individual satellite can offer images meeting both criteria simultaneously. To tackle this challenge, spatial temporal fusion algorithms have been developed to derive fine-scale and time-series images. Conversely, effective monitoring of water levels is crucial for preventing natural disaster, such as flood and tsunami mitigation. Yet, monitoring these natural changes regularly poses challenges for remote sensing satellites, given their limitations in either spatial or temporal resolution. For instance, the spatial resolution of 30 meters of Landsat 8 provides imagery with a but lacks the temporal resolution needed to capture dynamic events. On the contrary, the Himawari 8 has the capability to monitor the entire hemisphere every 10 minutes. However, its inadequate resolution affects the precision of sea water change mapping. This research seeks to utilize Landsat OLI and Himawari-8 images jointly for tracking sea level variation patterns. Our approach involves calculating a water index from both Landsat and Himawari images, then using an image fusion algorithm to merge these indices. Next, we identify water coverage by applying a specific threshold on the water index. The comparison of water percentages with reference water height observations has delivered encouraging outcomes.

Rancang Bangun Sistem Absensi Karyawan Menggunakan Radio Frequency Identification (RFID) (Studi Kasus: Diskominsa Aceh Barat Daya) Supriatna, Asep Nanang; Maghfirah, Hayatun; Juliwardi, Ilham; Mutia, Cut; Niani, Cukri Rahmi
Jurnal Teknologi Informasi Vol 3, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jti.v3i2.11085

Penelitian ini merancang sistem absensi berbasis Radio Frequency Identification (RFID) untuk menggantikan metode manual di Dinas Komunikasi, Informatika, dan Persandian Aceh Barat Daya. Sistem ini mencatat kehadiran secara otomatis, menyimpan data real-time, dan menghasilkan laporan dalam format Excel. Dikembangkan menggunakan metode Waterfall, sistem diuji dengan black-box testing, menunjukkan seluruh fitur berfungsi optimal. Pengguna memberikan respons positif dengan rata-rata kepuasan 94,1%. Sistem ini meningkatkan efisiensi absensi dan dapat diadaptasi oleh instansi lain.

FUSING SATELLITE DATA TO MONITOR SEA LEVEL CHANGES: A DEM-BASED NEAREST NEIGHBOR APPROACH Putri, Andriani; Nazhifah, Sri Azizah; Ridho, Abdurrahman; Maghfirah, Hayatun; Mutia, Cut; Niani, Cukri Rahmi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 8, No 2 (2024)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v8i2.26369

High spatial and temporal resolution satellite imagery is essential for monitoring rapid environmental changes at finer scales. However, no single satellite currently provides images with both high spatial and temporal resolution. To overcome this limitation, spatiotemporal image fusion algorithms have been developed to generate images with improved spatial and temporal detail. Water level monitoring is also crucial for managing natural hazards like floods and tsunamis, but remote sensing satellites face challenges in continuous monitoring due to either low spatial or temporal resolution. For instance, while Landsat 8, with a spatial resolution of 30 meters, has been used for water level detection, it cannot capture fast-changing events because of its low temporal resolution. Conversely, the Advanced Himawari Imager (AHI) 8 offers observations every 10 minutes but has a coarse spatial resolution, limiting its ability to map sea level changes accurately. This study focuses on integrating Landsat and AHI imagery to monitor local and dynamic sea level changes. The process involves calibrating images from the study area to surface reflectance and co-registering them. The Normalized Difference Water Index (NDWI) is calculated from both Landsat and Himawari-8 images, serving as input for image fusion. In the previous study, the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) is used for image fusion. In this study we use the application of Spatial Temporal Adaptive Algorithm for Mapping Reflectance Change (STAARCH) for the image fusion step. Since traditional methods are influenced by land cover changes, this study proposes a method called DEM-based Nearest Neighbor to select appropriate land cover maps for image fusion. Evaluation results demonstrate that this approach can produce accurate water coverage maps with both high spatial and temporal resolution.

Rancang Bangun Sistem Informasi Pemesanan Tiket Mobil Travel Menggunakan Metode Rapid Application Development Berbasis Web (Studi Kasus: PT Sempati Star ) Rahmi, Pevi Alfiya; Astrianda, Nica; Maghfirah, Hayatun; Niani, Cukri Rahmi; Raziah, Isyatur; Putri, Andriani
Jurnal Teknologi Informasi Vol 4, No 1 (2025): Mei
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jti.v4i1.11207

Sistem pemesanan tiket mobil travel berbasis web telah dirancang dan dibangun untuk PT Sempati Star menggunakan metode Rapid Application Development (RAD). Penelitian ini bertujuan untuk mengatasi masalah pemesanan tiket manual yang memerlukan pelanggan datang langsung ke loket, sehingga menghabiskan waktu dan tidak memungkinkan pemilihan kursi secara fleksibel. Sistem yang dikembangkan memungkinkan pelanggan untuk memesan tiket secara online, memilih rute, jadwal, dan posisi kursi dengan mudah. Pengujian sistem dilakukan melalui dua tahap, yaitu pengujian alpha dan beta. Hasil pengujian alpha menunjukkan bahwa sistem berfungsi dengan baik pada fitur dasar seperti pemesanan dan transaksi, namun memerlukan perbaikan pada beberapa aspek tampilan antarmuka. Pada pengujian beta, sistem berhasil mencapai tingkat kepuasan pengguna sebesar 85,46%, menunjukkan peningkatan yang signifikan dalam hal kemudahan penggunaan dan stabilitas. Sistem ini diharapkan dapat meningkatkan efisiensi proses pemesanan tiket dan memperbaiki layanan bagi pelanggan PT Sempati Star.

MODEL PENYEBARAN PENYAKIT MENINGITIS PADA MUSIM HAJI DI MADINAH DAN MEKKAH Lewaherilla, Norisca; Maitimu, Fransiska A. A. P.; Niani, Cukri Rahmi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 11 No 1 (2017): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Kegiatan haji dan umrah tahunan di Arab Saudi sangat berisiko terjadinya penyebaran bakteri gram negatif Neisseria meningitidis, yang mengakibatkan penyakit meningitis. Bakteri bisa saja terbawa oleh orang-orang yang berasal dari negara endemik maupun epidemik meningitis, dan ditularkan melalui interaksi dari kumpulan orang yang bersama-sama melakukan ibadah haji maupun umrah. Model penyebaran penyakit ini dilakukan dengan membandingkan kasus sebelum dan sesudah aturan vaksinasi dilakukan pada dua periode untuk jamaah dari negara kecil dan negara besar. Periode pertama adalah saat jamaah haji masih berada di Madinah, sedangkan periode kedua saat jamaah haji melakukan aktifitas bersama di Mekkah dan kembali ke Madinah menanti kepulangan. Hasil simulasi data menunjukkan bahwa banyak atau sedikitnya jamaah yang terinfeksi sangat mempengaruhi kecepatan laju penyebaran meningitis yang tertular melalui kontak langsung.

ANALISIS KEMAMPUAN PENGOLAHAN DATA BERBASIS MS. EXCEL PADA MAHASISWA SEMESTER AKHIR UNIVERSITAS TEUKU UMAR Niani, Cukri Rahmi; Lewaherilla, Norisca
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Ms.Excel merupakan sebuah aplikasi lembar kerja yang menyediakan menu pengolahan data. Aplikasi pengolahan data pada Ms.Excel dapat diaktifkan secara gratis di menu Toolbar yaitu menu Analysis ToolPak. Berdasarkan menu analisis tersebut hampir seluruh data statitik dapat diselesaikan sama dengan menggunakan aplikasi-aplikasi statistik yang berbayar saat ini. Jika mahasiswa mampu menggunakan Ms.Excel secara optimal pastinya sangat memudahkan dalan hal pengolahan data pada penelitian tugas akhir. Penelitian ini bertujuan untuk mengetahui kemampuan analisis data menggunakan Ms.Excel pada mahasiswa tingkat akhir di Universitas Teuku Umar (UTU). Data kemampuan diperoleh melalui soal pengolahan data yang dikerjakan pada lembar kerja Ms.Excel. Soal meliputi materi statistik deskriptif, penyajian data, uji instrumen dan uji hipotesis. Dari hasil penelitian diperoleh fakta bahwa mahasiswa mampu menghitung statistik deskriptif sebesar 34%, penyajian data 43%, 13% pada uji instrumen dan terakhir 10% pada uji hipotesis. Secara kumulatif, kemampuan pengolahan berbasis Ms.Excel pada mahasiswa akhir Universitas Teuku Umar berada pada kategori sedang.

THE FEASIBILITY OF FUSING SATELLITE IMAGERIES FOR HIGH-FREQUENCY SEA LEVEL MONITORING Putri, Andriani; Nazhifah, Sri Azizah; Ridho, Abdurrahman; Maghfirah, Hayatun; Mutia, Cut; Niani, Cukri Rahmi; Sanusi, Sanusi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 8 No 1 (2024)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v8i1.23504

Enhancing the capacity to monitor swift environmental shifts at finer scales requires satellite image that offers high spatial and temporal resolution. However, no individual satellite can offer images meeting both criteria simultaneously. To tackle this challenge, spatial temporal fusion algorithms have been developed to derive fine-scale and time-series images. Conversely, effective monitoring of water levels is crucial for preventing natural disaster, such as flood and tsunami mitigation. Yet, monitoring these natural changes regularly poses challenges for remote sensing satellites, given their limitations in either spatial or temporal resolution. For instance, the spatial resolution of 30 meters of Landsat 8 provides imagery with a but lacks the temporal resolution needed to capture dynamic events. On the contrary, the Himawari 8 has the capability to monitor the entire hemisphere every 10 minutes. However, its inadequate resolution affects the precision of sea water change mapping. This research seeks to utilize Landsat OLI and Himawari-8 images jointly for tracking sea level variation patterns. Our approach involves calculating a water index from both Landsat and Himawari images, then using an image fusion algorithm to merge these indices. Next, we identify water coverage by applying a specific threshold on the water index. The comparison of water percentages with reference water height observations has delivered encouraging outcomes.

FUSING SATELLITE DATA TO MONITOR SEA LEVEL CHANGES: A DEM-BASED NEAREST NEIGHBOR APPROACH Putri, Andriani; Nazhifah, Sri Azizah; Ridho, Abdurrahman; Maghfirah, Hayatun; Mutia, Cut; Niani, Cukri Rahmi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 8 No 2 (2024)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v8i2.26369

High spatial and temporal resolution satellite imagery is essential for monitoring rapid environmental changes at finer scales. However, no single satellite currently provides images with both high spatial and temporal resolution. To overcome this limitation, spatiotemporal image fusion algorithms have been developed to generate images with improved spatial and temporal detail. Water level monitoring is also crucial for managing natural hazards like floods and tsunamis, but remote sensing satellites face challenges in continuous monitoring due to either low spatial or temporal resolution. For instance, while Landsat 8, with a spatial resolution of 30 meters, has been used for water level detection, it cannot capture fast-changing events because of its low temporal resolution. Conversely, the Advanced Himawari Imager (AHI) 8 offers observations every 10 minutes but has a coarse spatial resolution, limiting its ability to map sea level changes accurately. This study focuses on integrating Landsat and AHI imagery to monitor local and dynamic sea level changes. The process involves calibrating images from the study area to surface reflectance and co-registering them. The Normalized Difference Water Index (NDWI) is calculated from both Landsat and Himawari-8 images, serving as input for image fusion. In the previous study, the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) is used for image fusion. In this study we use the application of Spatial Temporal Adaptive Algorithm for Mapping Reflectance Change (STAARCH) for the image fusion step. Since traditional methods are influenced by land cover changes, this study proposes a method called DEM-based Nearest Neighbor to select appropriate land cover maps for image fusion. Evaluation results demonstrate that this approach can produce accurate water coverage maps with both high spatial and temporal resolution.

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