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All Journal Cyberspace: Jurnal Pendidikan Teknologi Informasi Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Teknologi Informasi J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence) The Indonesian Journal of Computer Science
Putri, Andriani
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Other

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RANCANG BANGUN APLIKASI CERDAS (LIMBEKFEED) MENGGUNAKAN METODE PROFILE MATCHING DALAM PENENTUAN DOSIS PEMBERIAN PAKAN TERNAK IKAN LELE Ridho, Abdurrahman; Putri, Andriani
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 2 (2023): November 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i2.3125

Abstract

In catfish farming, providing the right feed is crucial for optimal growth and health. However, determining the accurate dosage of feed that is suitable for individual catfish can be complex and time-consuming. To address this challenge, we have developed an intelligent application called "Limbekfeed" using the Profile Matching method for determining the dosage of catfish livestock feed. The prototype of this application leverages the Profile Matching method, which connects the profile of the catfish with the feed profiles available in the database. Users input data such as size, weight, age, and water quality. The prototype application then compares this data with the predefined feed profiles in the system and provides recommendations for the most suitable feed dosage. Test results indicate that the "Limbekfeed" application prototype is expected to provide feed dosage recommendations to help farmers avoid the risks of overfeeding or underfeeding.
Penerapan Media Pembelajaran Matematika Berbasis Macromedia Flash 8.0 untuk Meningkatkan Motivasi Belajar pada Siswa Sekolah Dasar maghfirah, hayatun; Rahmi, Cukri; Ridho, Abdurrahman; Putri, Andriani; Astrianda, Nica
Jurnal Teknologi Informasi Vol 3, No 1 (2024): Mei
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jti.v3i1.9486

Abstract

Matematika merupakan salah satu materi yang menurut data kependidikan memiliki peminat yang dianggap sangat sedikit karna tingkat kesulitannya yang membuat sebagian siswa dan siswa tidak suka terhadap pembelajaran matematika. Penulis berharap aplikasi ini dapat membantu siswa sekolah dasar agar dapat lebih mudah memahami materi yang diberi oleh guru pada saat proses belajar mengajar serta juga menjadi aplikasi yang akan memberikan ketertarikan dan semangat belajar kepada para pelajar. Masalah yang dirumuskan pada laporan ini adalah; Bagaimana cara agar murid sekolah dasar dapat memahami pembelajaran matematika dengan lebih muda dimengerti dan Bagaimana cara meningkatkan semangat belajar bagi murid dan kualitas mengajar oleh pengajar atau guru. Manfaat dari penelitian ini adalah Penelitian dapat membantu mengidentifikasi permasalahan yang sering didapatkan dalam pembelajaran matematika dan mengindetifikasi metode yang dapat dilakukan untuk meningkatkan kualitas dan efektifitas dalam pembelajaran. Meningkatkan kualitas pengajaran: Penelitian dapat membantu mengidentifikasi kriteria yang harus dipenuhi oleh pengajaran matematika yang berkualitas, serta membantu guru dalam menyusun kurikulum dan metode pengajaran yang sesuai dengan kebutuhan siswa. Tujuan penciptaan aplikasi pembelajaran matematika di sekolah dasar secara umum meliputi: Meningkatkan ketertarikan siswa dalam belajar matematika, Meningkatkan kualitas belajar siswa, Meningkatkan keterlibatan siswa.
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

Abstract

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 : UIN Ar-Raniry

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

Abstract

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.
The Mapping of Vegetation Density Changes Based on the Normalized Difference Vegetation Index Using Landsat OLI in The Coastal Region of Aceh Barat Putri, Andriani; Hayatun Maghfirah
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3489

Abstract

Damage to coastal vegetation caused by the tsunami occurred rapidly, despite the critical role of vegetation in supporting life. Vegetation density is quantified through the use of an index known as the NDVI (Normalized Difference Vegetation Index). This index can be applied to assess changes in vegetation density over several years in coastal regions. The focus of this study was to analyze the changes in vegetation density along the coast of West Aceh in the years 2013, 2015, and 2020. The findings indicated that vegetation density in 2013 was notably low, with NDVI values falling within the range of -0.1495 to 0.1591, indicating a lack of vegetation. Furthermore, the percentage of areas with moderate vegetation density appears to have increased steadily year by year, with values of 26.73% in 2013, 27.50% in 2015, and a notable acceleration to 37.61% in 2020.
ANALYSIS OF LAND SURFACE TEMPERATURE IN THE KRUENG ACEH WATERSHED USING GOOGLE EARTH ENGINE Khairunnisa, Yulia; Nazhifah, Sri Azizah; Amiren, Muslim; Syahreza, Saumi; Rusdi, Muhammad; Saputra, Kurnia; Putri, Andriani; Sukiakhy, Kikye Martiwi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 9, No 1 (2025)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v9i1.29076

Abstract

The constantly changing land surface temperature has implications for agricultural productivity and human health, therefore it is important to observe the land surface temperature to provide information about the characteristics and patterns of a region. The purpose of this research is to determine the changes and spatial patterns of land surface temperature distribution in the Krueng Aceh Watershed in 2013, 2018, and 2023. The method employed in this study involves utilizing the Google Earth Engine platform and MODIS imagery. Land surface temperature data from MODIS imagery is processed using JavaScript programming language, and the results are analyzed to obtain the distribution of land surface temperature. The study results indicate that the land surface temperature in the Krueng Aceh Watershed was 29,11℃ in 2013, increase to 29,5℃ in 2018, and then decreased to 29,19℃ in 2023. The Krueng Aceh Watershed in 2013, 2018, and 2023 exhibits similar spatial patterns and distributions of land surface temperature, with areas in Banda Aceh City experiencing higher temperatures compared to those in Aceh Besar District, which exhibit varying temperatures.
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

Abstract

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.
Sebaran Gerai Vaksinasi Covid-19 Di Kota Banda Aceh Berbasis WebGIS Mawaddah, Jihan; Nazhifah, Sri Azizah; Muzaillin, Muzaillin; Putri, Andriani
J-SIGN (Journal of Informatics, Information System, and Artificial Intelligence) Vol 1, No 01 (2023): May
Publisher : Department of Informatics, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/j-sign.v1i01.31761

Abstract

Perkembangan teknologi informasi memudahkan siapa saja untuk berbagi dan mendapatkan informasi yang salah tentang vaksinasi COVID-19. Informasi terkait vaksinasi COVID-19 seperti capaian vaksinasi per kecamatan dan desa dalam bentuk peta, sebaran lokasi vaksinasi dan jalur menuju lokasi vaksinasi serta formulir pendaftaran vaksinasi dapat disampaikan melalui WebGIS. Pengembangan WebGIS ini menggunakan Laravel sebagai framework, Leaflet sebagai library dan MariaDB sebagai basis datanya. Informasi capaian liburan dibagi menjadi 3 kelas warna sesuai capaian vaksinasi yang divisualisasikan dalam bentuk peta tematik. Selain itu, informasi capaian vaksinasi COVID-19 juga tersedia dalam bentuk grafik dan diagram. WebGIS ini telah menguji usability pada 30 user dengan menggunakan 30 pertanyaan dari metode USE Questionnaire yang dibagi menjadi 4 bagian yaitu usability, ease of use, ease of learning dan satisfaction. Hasil pengujian WebGIS ini memperoleh skor 88, 67%, artinya WebGIS ini termasuk dalam kategori sangat layak.
Co-Authors Abdurrahman Ridho Amiren, Muslim Cut Mutia, Cut Hayatun Maghfirah Hayatun Maghfirah Maghfirah, Hayatun Mawaddah, Jihan Muhammad Rusdi Muzaillin, Muzaillin Nazhifah, Sri Azizah Niani, Cukri Rahmi Nica Astrianda Rahmi, Cukri Rahmi, Pevi Alfiya Raziah, Isyatur Ridho, Abdurrahman Sanusi Sanusi Saputra, Kurnia Saumi Syahreza sukiakhy, kikye martiwi Yulia Khairunnisa, Yulia