Sa'adah, Umi (2026) Estimasi Kualitas Produk Berdasarkan Kepribadian Dan Peran Dalam Tim Pengembangan Perangkat Lunak Berbasis Agile Di Perguruan Tinggi Vokasi. Doctoral thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pengembangan perangkat lunak berbasis Agile dipengaruhi oleh faktor manusia, risiko proses, dan dinamika tim, tetapi keterkaitan bertingkatnya dengan kualitas produk belum banyak dievaluasi secara terintegrasi, khususnya pada Project-Based Learning (PBL) berorientasi produk di pendidikan vokasi. Penelitian ini bertujuan membangun dan mengevaluasi kerangka estimasi bertingkat people-process-team quality-product quality. Data longitudinal berasal dari dua cohort mahasiswa D4 Teknik Informatika tahun 2021-2022 yang mengembangkan produk perangkat lunak selama dua semester dengan pengukuran per sprint. Dataset mencakup 361 observasi individu-per-sprint dan 63 unit tim-per-sprint, sedangkan evaluasi hubungan kualitas tim dan kualitas produk menggunakan 17 tim. Kerangka penelitian terdiri atas empat modul. Modul 1 mengestimasi enam skor risiko Project Management Antipatterns (PMA) personal berdasarkan lima skor preferensi kepribadian dari 16Personalities dan peran Scrum. Modul 2 mengestimasi dua belas prinsip agility tim berdasarkan enam skor PMA tim. Modul 3 mengestimasi Team Development dan Skor Anti-Disfungsi Tim dengan membandingkan representasi dua belas prinsip dan empat tema Agile. Modul 4 mengevaluasi formula Team Quality cohort 2020 terhadap Product Quality aktual pada cohort 2021-2022. Evaluasi Modul 1-3 menggunakan nested group-aware cross-validation berdasarkan cohort_team_id dan prediksi out-of-fold. Hasil Modul 1 menunjukkan sinyal parsial; Warm Bodies memberikan hasil relatif terbaik dengan R² rata-rata 0.015 dan Spearman 0.246, tetapi profil preferensi kepribadian dan peran Scrum belum memadai sebagai prediktor mandiri seluruh PMA. Pada Modul 2, Reflect and Adjust paling informatif dengan R² out-of-fold 0.382, diikuti oleh Working Software. Pada Modul 3, Model 3B berbasis empat tema Agile lebih ringkas dan sedikit lebih baik; Skor Anti-Disfungsi Tim mencapai R² out-of-fold 0.249 dan lebih informatif daripada Team Development pada dataset ini. Pada Modul 4, korelasi observed Team Quality dengan Product Quality sangat lemah (Pearson r = -0.117), sedangkan jalur penuh mendekati nol (r = -0.006) dan klasifikasi tidak mengungguli baseline kelas mayoritas. Dengan demikian, formula Team Quality tahun 2020 belum stabil secara eksternal pada cohort baru. Kontribusi utama penelitian terletak pada kerangka komputasional dan evaluasi bertingkat yang memisahkan kinerja setiap modul dari jalur end-to-end, bukan pada klaim performa prediksi tinggi. Hasil dibatasi pada PBL berbasis Agile di satu program pendidikan vokasi dan belum dapat langsung digeneralisasikan ke institusi atau tim profesional lain.
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Agile-based software development is shaped by human factors, process risks, and team dynamics. However, how these factors at multiple levels relate to product quality has not been examined systematically, especially in product-oriented Project-Based Learning (PBL) in vocational education. This study builds and tests a framework linking people, process, and team quality to product quality. Longitudinal data came from two cohorts of Diploma-4 (D4) Informatics Engineering students (2021–2022), who developed software for two semesters, with data at each sprint. The dataset contains 361 individual-per-sprint and 63 team-per-sprint entries; the analysis of team quality and product quality involved 17 teams. The research framework has four modules: Module 1 estimates six Project Management Antipattern (PMA) risk scores from five personality scores (16Personalities) and Scrum roles. Module 2 estimates twelve team agility principles based on the six team PMA scores. Module 3 estimates Team Development and Team Anti-Dysfunction by comparing these twelve principles with four Agile themes. Module 4 tests the Team Quality formula from the 2020 cohort on actual Product Quality in the 2021–2022 cohort. For Modules 1–3, evaluation uses nested group-aware cross-validation based on `cohort_team_id` and out-of-fold predictions. Results from Module 1 show the strongest signal for the "Warm Bodies" pattern (mean R² 0.015, Spearman 0.246), but personality and Scrum roles alone were not enough to predict all PMAs. In Module 2, "Reflect and Adjust" was the most informative principle (R² 0.382), followed by "Working Software." In Module 3, Model 3B, based on Agile themes, was both more concise and slightly better. The Team Anti-Dysfunction Score achieved an R² of 0.249 and was more informative than Team Development. In Module 4, the correlation between Team Quality and Product Quality was very weak (Pearson r = -0.117; path r = -0.006), and classification did not exceed the majority-class baseline. Thus, the 2020 Team Quality formula did not prove stable on the new cohort. The main contribution is the computational framework and its tiered evaluation, separating individual module results from the full path rather than claiming high predictive power. The findings apply only to Agile-based PBL in one vocational program and do not yet generalize to other settings.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | Agile Project-Based Learning; Project Management Antipatterns; Agility Tim; Kualitas Tim; Kualitas Produk Perangkat Lunak. Agile Project-Based Learning; Project Management Antipatterns; Team Agility; Team Quality; Software Product Quality. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science. EDP |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55001-(S3) PhD Thesis (Comp Science) |
| Depositing User: | Umi Saadah |
| Date Deposited: | 04 Aug 2026 03:19 |
| Last Modified: | 04 Aug 2026 03:19 |
| URI: | http://repository.its.ac.id/id/eprint/142657 |
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