Hamilku.id: Sebuah Desain Antarmuka Sistem Pendukung Keputusan Mode Persalinan Terencana

Maheswari, Nadhira Apta (2025) Hamilku.id: Sebuah Desain Antarmuka Sistem Pendukung Keputusan Mode Persalinan Terencana. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemilihan mode persalinan adalah proses krusial untuk memastikan kesehatan serta keselamatan ibu dan bayi. Angka Kematian Ibu (AKI) dapat meningkat karena kesalahan dalam pemilihan mode persalinan, terutama yang disebabkan oleh komplikasi yang timbul saat masa kehamilan. Komplikasi pada kehamilan, seperti plasenta previa, penyakit jantung, dan lainnya dapat mengancam keselamatan ibu dan bayi. Persalinan pada umumnya memiliki dua mode, persalinan normal dan operasi caesar (CS). Penelitian ini menawarkan solusi untuk mendukung keputusan ibu dalam memilih mode persalinan terencana dengan melibatkan komplikasi- komplikasi pada saat masa kehamilan. Komplikasi yang dikumpulkan adalah komplikasi yang memerlukan persalinan melalui operasi CS yang telah direncanakan sebelumnya, komplikasi ini didapat dari studi literatur berbagai buku dan jurnal medis serta wawancara dengan dokter SpOG. Komplikasi yang dibahas pada tugas akhir ini adalah plasenta previa total, obesitas tingkat 3, HIV, penyakit jantung sedang atau parah, asma tingkat severe, tuberkulosis pada tahap active infection, solusio plasenta, posisi sungsang, posisi melintang, dan janin besar. Tugas akhir ini akan menghasilkan UI storyboard dari komplikasi yang dirasakan ibu hamil selama masa kehamilan dengan output persalinan normal atau persalinan CS terencana. Penyusunan prototype UI storyboard dilakukan dengan metode design thinking dan Gestalt principles serta prototype dilakukan pengujian dengan usability testing kuesioner System Usability Testing Scale (SUS). Dengan hasil evaluasi prototype dengan 43 responden, didapatkan nilai persentase jawaban positif sebesar 94.88%. Hasil ini dianggap sangat baik dan menunjukkan bahwa desain prototype yang telah dibuat efisien dan mudah digunakan oleh calon pengguna, yaitu ibu hamil.
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The selection of the mode of childbirth is a crucial process to ensure the health and safety of both mother and baby. Maternal Mortality Rate (MMR) can increase due to errors in choosing the mode of delivery, especially those caused by complications arising during pregnancy. Pregnancy complications such as placenta previa, heart disease, and others can pose serious threats to the safety of the mother and baby. In general, there are two delivery modes, normal delivery and cesarean section (CS). This study offers a solution to support mothers in making informed decisions about planned childbirth modes by incorporating pregnancy-related complications. The complications collected are those that require childbirth via pre-planned cesarean section and were identified through literature reviews of various books and medical journals, as well as interviews with obstetricians (SpOG). The complications addressed in this final project include total placenta previa, grade 3 obesity, HIV, moderate to severe heart disease, severe asthma, active tuberculosis infection, placental abruption, breech position, transverse position, and macrosomia (large baby). This final project produces a UI storyboard based on complications experienced by pregnant women during pregnancy, with an output suggesting either normal delivery or planned CS. The UI storyboard prototype was developed using the design thinking methodology and Gestalt principles, and the prototype was tested using the System Usability Scale (SUS) questionnaire. Based on evaluation results from 43 respondents, a positive response rate of 94.88% was achieved. This result is considered very good and indicates that the prototype design is efficient and easy to use for the intended users which are pregnant women.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Mode Persalinan, Operasi Caesar, Komplikasi saat Kehamilan, UI Storyboard, Design Thinking, Birth Delivery Method, Caesarean Section, Complications During Pregnancy, UI Storyboard, Design Thinking
Subjects:	T Technology > T Technology (General) > T58.6 Management information systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 57201-(S1) Undergraduate Thesis
Depositing User:	Nadhira Apta Maheswari
Date Deposited:	25 Jul 2025 14:23
Last Modified:	28 Jul 2025 04:29
URI:	http://repository.its.ac.id/id/eprint/121401

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