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"ABSTRAKDalam rangka pengelolaan data yang terintegrasi, terpusat dan dapat diakses secara online, demi meningkatkan kualitas pelayanan data dan informasi MKG yang cepat, tepat dan handal, BMKG berupaya menerapkan Sistem E-Government bernama Sistem BMKGSoft. Implementasi sistem ini diharapkan dapat berhasil dan mampu menjadi single data provider BMKG. Namun di dalam pelaksanaannya, terdapat berbagai permasalahan yang mengindikasikan implementasi sistem ini belum sukses, diantaranya target monitoring pengiriman data yang tidak tercapai akibat kurangnya entry data hasil pengamatan oleh pegawai di UPT, fitur aplikasi yang belum lengkap, ketersediaan data level 2 yang belum lengkap, belum up-to-date dan belum akurat, format keluaran yang belum sesuai harapan serta belum adanya SOP mengenai entry data hasil pengamatan yang mampu mencerminkan tujuan single data provider. Hal ini menyebabkan harapan Sistem BMKGSoft sebagai single data provider belum dapat tercapai. Berdasarkan hal tersebut, penelitian ini ingin melakukan identifikasi terhadap faktor-faktor kesuksesan implementasi Sistem BMKGSoft. Penelitian ini menggunakan model kesuksesan informasi dari Delone dan Mclean 2003 yang dimodifikasi dengan penambahan variabel dari rujukan penelitian terdahulu. Variabel yang digunakan yaitu: System quality, information quality, service quality, facilitating condition, extrinsic motivation, organizational support, management support, intention to use, user satisfaction dan net benefit. Metode analisis data menggunakan Partial Least Square Structural Equation Modeling PLS-SEM dan tools smartPLS 3.2.7. Hasil analisis menunjukkan faktor-faktor yang memengaruhi kesuksesan implementasi Sistem BMKGSoft adalah system quality, information quality, service quality, extrinsic motivation, intention to use, user satisfaction dan net benefit.

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ABSTRACTMeterological, Climatological and Geophysical Agency BMKG have to manage data that is integrated, centralized and accessible online, in order to improve the quality of Meterological, Climatological and Geophysical data and information quickly, accurately and reliably, BMKG seeks to implement the E Government System called BMKGSoft System. Implementation of this system is expected to be successful and able to become single data provider BMKG. But in fact, there are various problems that indicate the implementation of this system has not been successful, such as The target monitoring of data transmission that is not achieved due to lack of data entry observations by employees in the stations, application features incomplete, the availability of data level 2 is not complete, not up to date and not yet accurate, output format that has not been as expected and the absence of Standard of Procedure on data entry observations that are able to reflect the single provider data destination. This has led to the expectation of BMKGSoft System as single data provider yet to be achieved. Based on this, this study would like to identify the factors of successful implementation of BMKGSoft System. This study uses the success model of information from Delone and Mclean 2003 , modified with the addition of variables from previous research references. The variables used are System quality, information quality, service quality, facilitating condition, extrinsic motivation, organizational support, management support, intention to use, user satisfaction and net benefit. Methods of data analysis using Partial Least Square Structural Equation Modeling PLS SEM and tools smartPLS 3.2.7. The results of the analysis show that factors affect the success of BMKGSoft system implementation are system quality, information quality, service quality, extrinsic motivation, intention to use, user satisfaction and net benefit"

"Stasiun Klimatologi BMKG memiliki tugas pengamatan parameter iklim guna mempelajari kondisi iklim suatu daerah. Parameter iklim yang diukur paling sedikit antara lain suhu dan kelembaban udara di ketinggian 1.2 m, 4 m, 7 m, dan 10 m, arah dan kecepatan angin di ketinggian 4 m, 7 m, dan 10 m, radiasi matahari, tekanan, curah hujan, dan suhu tanah di beberapa kedalaman. AWS dan IKRO merupakan alat otomatis yang digunakan untuk mengukur parameter iklim. Adanya dua buah sistem ini kurang efektif dan efisien, selain itu juga belum dimanfaatkan untuk mengukur seluruh pengamatan parameter iklim yang ada di Stasiun Klimatologi BMKG. Sistem yang ada saat ini juga masih sering mengalami error pengukuran dan permasalahan kelengkapan data yang diterima oleh server. Selain itu belum terdapat alat otomatis untuk melakukan pengukuran suhu tanah di beberapa kedalaman. Penelitian ini bertujuan untuk merancang suatu sistem digitalisasi di stasiun klimatologi yang dapat melakukan pengamatan parameter iklim secara otomatis dengan berbasis internet. Sistem ini dirancang dengan menggunakan satu buah data logger Campbell Scientific CR1000X, sensor meteorologi grade industrial, sistem catu daya dan modem. Data parameter iklim dikirim setiap 1 menit menggunakan protokol MQTT menggunakan broker Amazon AWS IoT Core. Pada sisi client melakukan subscribe data untuk menyimpan data tersebut kedalam database MySQL dan menampilkannya ke dalam Grafana web browser. Informasi parameter iklim dapat diakses darimana saja dan kapan saja selama tersedia jaringan internet. Hasil kalibrasi sensor meteorologi terhadap standar menunjukkan nilai R2 > 0.99. Data logger memproses seluruh task dengan metode Pipeline dan scan rate 19.7 detik/loop. Konsumsi daya sistem dalam 1 hari mencapai 117.67 Wh. Sistem yang dirancang mampu mengirimkan data per menit dengan persentase data terkirim ke server mencapai 99.9%. Hasil pengujian performa antara sistem yang dirancang dengan AWS dan IKRO menunjukkan hasil yang baik dengan nilai R2 > 0.94, sedangkan untuk DCS dan konvensional pada pengukuran suhu tanah menunjukkan nilai R2 > 0.90. 

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The BMKG Climatology Station has the task of observing climate parameters to study the climatic conditions of an area. The climate parameters measured at least include temperature and humidity at an altitude of 1.2 m, 4 m, 7 m, and 10 m, wind direction and speed at an altitude of 4 m, 7 m, and 10 m, solar radiation, pressure, rainfall, and soil temperature at some depth. AWS and IKRO are automated tools used to measure climate parameters. The existence of these two systems is less effective and efficient and has not been used to measure all observations of climate parameters at the BMKG Climatology Station. The current system also often experiences measurement errors and problems with the completeness of the data received by the server. In addition, there is no automatic tool to measure soil temperature at several depths. This study aims to design a digitization system at a climatology station that can make observations of climate parameters automatically based on the internet. This system was designed using a single Campbell Scientific CR1000X data logger, an industrial-grade meteorological sensor, a power supply system, and a modem. Climate parameter data is sent every 1 minute using the MQTT protokol using an Amazon AWS IoT Core broker. On the client side, subscribe to the data to store it in the MySQL database and display it in the Grafana web browser. Climate parameter information can be accessed from anywhere and at any time as long as there is an internet connection. Meteorological sensor calibration results against standards show a value of R2 > 0.99. The data logger processes all tasks using the pipeline method at a scan rate of 19.7 seconds per loop. System power consumption in one day reached 117.67 Wh. The designed system is capable of sending data per minute, with the proportion of data sent to the server reaching 99.9%. The results of performance testing between systems designed with AWS and IKRO showed good results with R2 > 0.94, while DCS and conventional soil temperature measurements showed R2 > 0.90. "