{"id":808,"date":"2024-04-10T15:42:38","date_gmt":"2024-04-10T08:42:38","guid":{"rendered":"https:\/\/cattleyapublicationservices.com\/?p=808"},"modified":"2024-04-10T21:29:24","modified_gmt":"2024-04-10T14:29:24","slug":"cara-menentukan-model-pengukuran-dan-model-struktural-dalam-sem-pls","status":"publish","type":"post","link":"https:\/\/cattleyapublicationservices.com\/?p=808","title":{"rendered":"Cara Menentukan Model Pengukuran dan Model Struktural dalam SEM PLS"},"content":{"rendered":"\n

Structural Equation Modeling (SEM) dengan Partial Least Squares (PLS) adalah metode statistik yang digunakan untuk menganalisis hubungan antar variabel laten. SEM PLS terdiri dari dua model utama: model pengukuran dan model struktural. Sebelum membaca lebih lanjut, sebaiknya membaca artikel sebelumnya<\/a>.<\/p>\n\n\n\n

Model Pengukuran<\/strong><\/p>\n\n\n\n

Model pengukuran menjelaskan hubungan antara variabel laten dan variabel terukur. Model ini direpresentasikan dengan diagram panah yang menunjukkan arah hubungan dan kekuatan hubungan antar variabel.<\/p>\n\n\n\n

Langkah-langkah Menentukan Model Pengukuran:<\/strong><\/p>\n\n\n\n

    \n
  1. Identifikasi variabel laten<\/strong>: Tentukan variabel yang tidak dapat diamati secara langsung yang ingin Anda pelajari.<\/li>\n\n\n\n
  2. Pilih variabel terukur<\/strong>: Pilih variabel yang dapat diamati secara langsung yang mewakili variabel laten.<\/li>\n\n\n\n
  3. Tetapkan jenis hubungan<\/strong>: Tetapkan apakah hubungan antara variabel laten dan variabel terukur adalah reflektif atau formatif.<\/li>\n\n\n\n
  4. Buat diagram panah<\/strong>: Buat diagram panah yang menunjukkan hubungan antara variabel laten dan variabel terukur.<\/li>\n\n\n\n
  5. Tentukan loading<\/strong>: Tentukan nilai loading yang menunjukkan kekuatan hubungan antara variabel laten dan variabel terukur.<\/li>\n<\/ol>\n\n\n\n

    Model Struktural<\/strong><\/p>\n\n\n\n

    Model struktural menjelaskan hubungan antar variabel laten. Model ini direpresentasikan dengan diagram panah yang menunjukkan arah hubungan dan kekuatan hubungan antar variabel.<\/p>\n\n\n\n

    Langkah-langkah Menentukan Model Struktural:<\/strong><\/p>\n\n\n\n

      \n
    1. Identifikasi hipotesis<\/strong>: Tentukan hipotesis tentang hubungan antar variabel laten.<\/li>\n\n\n\n
    2. Buat diagram panah<\/strong>: Buat diagram panah yang menunjukkan hubungan antar variabel laten.<\/li>\n\n\n\n
    3. Tentukan koefisien path<\/strong>: Tentukan nilai koefisien path yang menunjukkan kekuatan hubungan antar variabel laten.<\/li>\n<\/ol>\n\n\n\n

      Tutorial Menentukan Model Pengukuran dan Model Struktural dalam SEM PLS dengan SmartPLS:<\/strong><\/p>\n\n\n\n

        \n
      1. Buka software SmartPLS.<\/li>\n\n\n\n
      2. Buat project baru.<\/li>\n\n\n\n
      3. Masukkan variabel laten dan variabel terukur ke dalam software.<\/li>\n\n\n\n
      4. Tetapkan jenis variabel (laten atau terukur) untuk setiap variabel.<\/li>\n\n\n\n
      5. Buat diagram panah untuk merepresentasikan model pengukuran dan model struktural.<\/li>\n\n\n\n
      6. Jalankan analisis SEM.<\/li>\n\n\n\n
      7. Software akan menghasilkan nilai parameter model, goodness-of-fit, dan diagram path.<\/li>\n\n\n\n
      8. Interpretasikan hasil SEM.<\/li>\n<\/ol>\n\n\n\n

        Referensi:<\/strong><\/p>\n\n\n\n

          \n
        • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.<\/li>\n\n\n\n
        • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). Lawrence Erlbaum Associates.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

          Structural Equation Modeling (SEM) dengan Partial Least Squares (PLS) adalah metode statistik yang digunakan untuk menganalisis hubungan antar<\/p>\n","protected":false},"author":1,"featured_media":827,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[25],"tags":[],"class_list":["post-808","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analisis-data-sem-pls"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/cattleyapublicationservices.com\/wp-content\/uploads\/2024\/04\/2fee449d-8a24-41f7-9992-aaacef9ad9e4.jpg","jetpack_sharing_enabled":true,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=\/wp\/v2\/posts\/808","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=808"}],"version-history":[{"count":1,"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=\/wp\/v2\/posts\/808\/revisions"}],"predecessor-version":[{"id":809,"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=\/wp\/v2\/posts\/808\/revisions\/809"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=\/wp\/v2\/media\/827"}],"wp:attachment":[{"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=808"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=808"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cattleyapublicationservices.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=808"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}