National Remote Sensing Data Bank (Bank Data Penginderaan Jauh Nasional; BDPJN) is the operational implementer in the field of remote sensing to meet the needs of national data on remote sensing images. Remote sensing images are essential in the Indonesian government for various needs, such as in regional (spatial planning, city boundaries), disaster (forest fires, floods, landslides, earthquakes, volcanic eruptions), plantation, natural resources, and environment sectors. Quality management of BDPJN's satellite images becomes challenging due to the increasing number of products owned and users annually. For this reason, a data quality management strategy is needed to guarantee and improve the quality of BDPJN data. To develop such a strategy, an assessment of the maturity of BDPJN's data quality management was conducted from the aspect of data processing by implementing Loshin's Data Quality Management Maturity Model (DQM3) to find out the characteristics that were lacking. The results were then mapped based on Data Quality Management (DQM) activities in DAMA-DMBOK as a recommendation for data quality management strategies. This study applies quantitative research where data collection was done by distributing questionnaires to 24 respondents who are data stewards of a medium, high, and very high-resolution mosaic images. Based on the assessment, BDPJN is in the maturity level of Defined to Managed. The recommendations are 21 DQM activities that can be carried out to improve BDPJN data quality.

Remote sensing imagery in LAPAN has been managed and distributed through many media and device, like CCT, DCRSy, tape, CD, DVD, hard drive. The format is available from Quicklook data (in JPG or BMP), data RAW (in Gtiff or ground station data format). There also exist metadata that bring along in each remote sensing data like Landsat data, SPOT, Radar data, and High-resolution data. From that all collection then it would need some system that can arrange, keep and distribute data in a huge amount of number. Research on metadata structure and standard will be required in managing a large number of remote sensing data. Types and formats from those remote sensing data will be various but the raster format which most widely used is GeoTiff. Metadata for every raster data format is already standardized following the rule of ISO 19139 and 19115. SPACeMAP is a new web catalog system that uses the simplest and latest raster data format for displaying the mosaic image, data processing result, data raw format and etc. The structure of raster data format (like Gtiff and ECW) is very flexible although the format needs certain criteria. Metadata also treated the same as raster format, this treatment hopefully will minimize the error.

Speckle is noise found in SAR data that will affect the image interpretation process. To reduce the presence of speckle in SAR data, a speckle filtering process is needed. This study will evaluate the multi temporal speckle filtering for Sentinel-1 image, VH polarisation. The data used in this study are 30 SENTINEL-1 images recorded in different seasons in 2018. The methods applied for multi temporal speckle filters are Boxcar, Frost, Lee, Gamma Map and Lee Sigma with window sizes of 5x5 and 7x7. The quality test for speckle filter results will be done qualitatively (by looking at the visual appearance of the filter results) and quantitatively (Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Normalized Mean (NM). The best qualitative and quantitative multitemporal speckle filter results are obtained from the Frost Filter 5x5 with a minimum of 3 scene data.

Dalam perjalanan operasional data penginderaan jauh di Pustekdata, LAPAN mengoperasikan Bank Data Penginderaan Jauh Nasional (BDPJN) yang gunanya untuk memfasilitasi kebutuhan data penginderaan jauh nasional. Pada tahun 2011, Pustekdata menyusun Master Plan dan Blue Print Teknologi Informasi (TI) BDPJN tahun 2012-2016 dan Master Plan Manajemen BDPJN. BDPJN memiliki target yang tertuang pada Master Plan TI dan Manajemen BDPJN. Diperlukan suatu kajian untuk mengevaluasi apakah kegiatan yang telah dioperasionalkan hingga saat ini sudah menyesuaikan dengan implementasi dari Master Plan yang telah dibangun. Target-target yang tercantum pada Master Plan TI dan Manajemen BDPJN dapat dijadikan parameter untuk mengukur keberhasilan implementasi Master Plan TI dan Manajemen BDPJN yang telah dioperasionalkan hingga saat ini. Metode DeLone dan McLean digunakan untuk mengukur keberhasilan implementasi Master Plan TI dan Manajemen BDPJN. Koefisien korelasi yang dihasilkan dari pengujian menggunakan metode DeLone dan McLean menunjukkan bahwa kepuasan pengguna sangat berpengaruh pada kesuksesan implementasi masterplan BDPJN diikuti dengan meningkatnya kualitas sistem, kualitas layanan, dan kualitas informasi yang juga ikut mempengaruhinya. Selain itu, meningkatnya kepuasan pengguna maka akan berdampak pada manfaat-manfaat yang diberikan oleh sistem BDPJN sehingga dapat membantu meningkatkan dan mempermudah kinerja pegawai.

Human Capital Management System (HCMS) has become a necessity for organizations to perform administrative personnel services. PT XYZ started implementing HCMS in 2019 as an online self-service for personnel administration, which was previously done manually. During this transition phase, not all employees understand how to use the HCMS system due to its confusing interface. As a result, many employees still prefer assistance from the HR/IT team to make changes to their data rather than doing it themselves. This research was conducted to analyze the usability of the HCMS system using the WEBUSE method. There are four categories used: Content, Organization, and Readability (COR); Navigation and Links (NAL); User Interface Design (UID); and Performance and Effectiveness (PAE). Each category serves as a basis for measuring usability. Data was collected through questionnaires and interviews with respondents to obtain values and levels of WEBUSE usability based on user satisfaction aspects In the case study of this research, it was obtained from the results of the questionnaire distributed as many as 13 respondents stated that in general, the usability of the HCMS system was at the Good level. This research provides recommendations for improving the self-service HCMS based on the needs or experiences of employees using the system. Also contributes to the scientific study of UI/UX and provides an ideal overview practitioner in developing an HCMS system.