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Record W4396858627 · doi:10.47927/jikb.v15i1.678

Implementasi Design Thinking dalam Perancangan UI/UX Aplikasi Parkir Online pada Soto Ayam Lamongan CH

2024· article· id· W4396858627 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Ilmu Komputer dan Bisnis · 2024
Typearticle
Languageid
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Soto Ayam Lamongan CH merupakan tempat kuliner populer yang berada di wilayah Surabaya. Sehingga tempatnya tidak pernah sepi dari pembeli. Namun Soto Ayam Lamongan CH mempunyai kapasitas lahan parkir terbatas menampung kendaraan para pembeli. Tidak jarang terjadi overload terutama saat memasuki jam makan siang dan hari libur. Dalam penelitian ini dilakukan menggunakan metode design thinking bertujuan untuk perancangan UI/UX aplikasi parkir online. Serangkaian proses metode design thinking diantaranya adalah emphatize, define, ideate, prototype dan test. Sehingga awal dari penelitian ini penulis mencari permasalahan parkir dari Soto Ayam Lamongan CH, selanjutnya penentuan topik permasalahan hingga menjadi solusi merancang sebuah aplikasi parkir serta diakhir perancangan dilakukan uji coba aplikasi menggunakan system usability scale (SUS). Dari hasil SUS diketahui hasil akhir dari perancangan UI/UX Aplikasi Parkir Online menggunakan design thinking yaitu 78,18 dengan demikian pengujian hasil prototype terbilang berhasil, tetapi masih perlu adanya perbaikan pada penelitian selanjutnya yang berfokus pada pengembangan aplikasi parkir online.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0060.002
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.292
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it