Around the world, the adoption of digital health applications is growing very fast. The use of e-health laboratory systems is increasing while research on the factors that impact users to use e-health laboratory systems in Indonesia has not been done much. The objective of this study is to analyze the behavioral factors of e-health laboratory users. This study includes a survey conducted on Indonesian users, and data analysis was carried out thoroughly. Based on the Technology Acceptance Model, this research framework explores a combination of variables consisting of task-driven, technology-driven, human-driven, and adoption variables to form the model proposed in this study. This model was verified using the Structural Equation Modeling (SEM) method for factor analysis, path analysis, and regression. A total of 163 respondents were collected to evaluate this research model empirically and the level of this study were individuals. These three problems are all essential in affecting usage intentions in adopting an e-health laboratory system. Specifically, task technology fit, information quality, and accessibility show a direct effect on both perceived usefulness and perceived ease of use factors perceived by the user, and have an indirect influence on the adoption of an e-health laboratory system through these two factors. The design of an online laboratory system affects perceived ease of use and personal innovativeness factors affect the perceived usefulness that users feel when adopting a laboratory system, while task technology fit and personal innovativeness factors do not affect the perceived ease of use. However, overall technology characteristic and perceived usefulness followed by design are the main predictors of adopting an e-health laboratory system on e-health systems in Indonesia.

A trend in sea level rise as a result of global warming could be a threat to small islands and coastal areas in Indonesia. The objective of this study was to determine the trend and variability of mean sea level anomaly (MSLA) Keywords: mean sea level, anomaly, SOI, DIM, PDO, interannual, ENSO ABSTRAKTrend kenaikan paras laut yang terjadi sebagai akibat pemanasan global dapat menjadi ancaman bagi pulau-pulau kecil dan daerah pesisir di Indonesia. Penelitian ini bertujuan untuk menentukan laju dan variabilitas anomali paras laut rata-rata (MSLA) di perairan Indonesia selama 20 tahun pengamatan. Data yang digunakan dalam penelitian ini adalah data MSLA bulanan yang diperoleh dari AVISO website (ftp://ftp.aviso.oceanobs.com). Data pendukung seperti Southern Oscillation Index (SOI) (http://www.gom.gov.au/climate/enso), Dipole Indian Mode (DIM) index (http://gcmd. nasa.gov/ records/GCMD_Indian_Ocean_Dipole.html), dan Pacific Decadal Oscillation (PDO) index (http:// research.jisao.washington.edu/pdo/). Delapan stasiun pengamatan ditentukan untuk mewakili perairan Indonesia. Secara umum variabilitas MSLA di perairan Indonesia mengikuti pola musiman, berkorelasi positif dengan SOI index, dan berkorelasi negatif dengan DIM dan PDO indeks. Korelasi parsial DIM lebih dominan di perairan barat Sumatra (r=-0,52) dan selatan Jawa (r=-0,44), PDO lebih dominan di perairan utara Papua (r=-0,37) dan Selat Makassar (r=-0,33), dan SOI paling dominan di perairan utara Papua (r=0,52) dan semakin kecil kearah perairan Indonesia bagian barat. Secara keseluruhan, variabilitas MSLA di perairan Indonesia dapat dijelaskan oleh variabilitas SOI, DIM, dan PDO indeks paling rendah di perairan Natuna sebesar 12% (R 2 =0,12) dan paling tinggi di perairan utara Papua sebesar 54% (R 2 =0,54). Varibilitas interannual disebabkan kejadian ENSO (SOI<-10) bersamaan dengan nilai DIM maksimum yang menghasilkan MSLA terendah, dan saat La Nina (SOI>10) bersamaan dengan nilai DIM dan PDO minimum menyebabkan MSLA tertinggi. Laju ratarata kenaikan paras laut di seluruh perairan Indonesia adalah 5,84 mm/thn dan nilai ini hampir dua kali lebih tinggi dari laju rata-rata kenaikan paras laut global (3,2 mm/thn).

SMK Sirajul Falah is a Vocational High School located in the Bogor area. However, the selection of the favorite majors in SMK Sirajul Falah is still qualitative so that the process of choosing the favorite majors become not accurate. This is what makes the need for a method that is able to manage the data of the selection of the favorite majors and generate a ranking of the calculation of the weight of the selection of the favorite majors. In the selection of these favorite majors, there is a method of Simple Additive Weighting (SAW) which can be used in quantitative problem-solving. The SAW method is used to compare each criterion with one another, so as to give the results of the favorite majors and provide an assessment of each department at the Sirajul Falah Vocational School.

Shopee merupakan platform perdagangan elektronik yang didirikan pada tahun 2009 sebagai pasar mobile-sentris sosial yang pertama dimana pengguna aplikasi shopee ini dapat melakukan belanja, menjual, dan menjelajahi kapan saja melalui ponsel pintar dengan aman dan praktis. Aplikasi Shopee dipengaruhi dari beberapa faktor untuk menghasilkan sistem belanja yang sesuai dengan kebutuhan  penggunanya, tidak menutup kemungkinan bahwa masih ada pengguna yang merasa dikecewakan dengan pelayanan Shopee, hal inilah yang membuat para pengguna aplikasi merasa dikecewakan.Untuk meningkatkan kemudahan dan kenyamanan pengguna sistem maka perlu adanya pengukuran yang mendalam mengenai faktor mana yang mempengaruhi sikap penerimaan pengguna aplikasi Shopee di kalangan Mahasiswa. Metode penelitian menggunakan eksploratory dengan jumlah responden sebanyak 100 orang mahasiswa. Teknik analisis data menggunakan technology acceptance model (TAM). Hasil penelitian menunjukkan bahwa faktor Perceived usefulness, Perceived ease of use, Attitude, dan Intention to use semua berpengaruh signifikan pada penerimaan penggunaan aplikasi shopee dikalangan Mahasiswa. Hasil pengujian secara keseluruhan yang dihasilkan R squares adjusted sebesar 0.550 atau 55% dengan nilai T value pada Perceived ease of use terhadap Attitude memiliki nilai sebesar 7.861, Perceived ease of useterhadap Perceived ease of use memiliki nilai sebesar 9.777, Attitude terhadap Intention to use memiliki nilai sebesar 8.476 sehingga hasil ini menunjukkan bahwa nilai T value lebih besar dari taraf signifikansi 5% dan dapat diambil kesimpulan bahwa faktor Perceived usefulness, Perceived ease of use, Attitude,  dan Intention to use saling berpengaruh signifikan terhadap pengguna aplikasi Shopee di kalangan Mahasiswa.

A trend in sea level rise as a result of global warming could be a threat to small islands and coastal areas in Indonesia. The objective of this study was to determine the trend and variability of mean sea level anomaly (MSLA) in Indonesian waters during the 20 years of observation. The data used in this study were monthly MSLA data obtained from the AVISO website (ftp://ftp.aviso.oceanobs.com). Supporting data were the Southern Oscillation Index (SOI) (http://www.gom.gov.au/climate/enso), Dipole Indian Mode (DIM) index (http://gcmd.nasa.gov/records/GCMD_Indian_Ocean_Dipole.html), and the Pacific Decadal Oscillation (PDO) index (http://research.jisao.washington.edu/pdo/). Eigth stations of Indonesian waters were selected to study the variability of MSLA. In general, MSLA variabilities of Indonesian waters had a seasonal pattern, positively correlated with the SOI index, and negatively correlated with DIM and PDO indexes. The partial correlation of DIM was more dominant in west of Sumatra (r=-0.52) and south of Java (r=-0.44), PDO was more dominant in the northern waters of Papua (r=-0.37) and Makassar Strait (r=-0.33), and SOI was more dominant in northern Papua (r=0.52) and less toward the west of Indonesian waters. Overall, the MSLA variability of Indonesian waters can be explained by the variabilities of SOI, DIM, and PDO indexes with the lowest value in Natuna waters by 12% (R2=0.12) and the highest value in the northern waters of Papua by 54% (R2=0.54). Interannual variabilities were observed during ENSO events (SOI<-10) along with the maximum value of DIM index resulted in the lowest value of MSLA. Meanwhile, the highest value of MSLA was found during La Nina events (SOI>10) in conjunction with a minimum value of DIM and PDO indexes. The average rate of sea level rise in Indonesian waters was 5.84 mm/yr, almost two times higher than the average rate of global sea level rise (3.2 mm/yr). Keywords: mean sea level, anomaly, SOI, DIM, PDO, interannual, ENSO