Penilaian Status Keberlanjutan E-Ticketing Bus Trans Semarang Mendukung Kota Pintar dengan Pendekatan Multidimensional Scaling
Bibliographic record
Abstract
Status Assessment of E-Ticketing Sutainability for Trans Semarang Bus to Support Smart City using Multidimensional Scaling Approaches: One of the public service facilities using IT in the transportation sector is the eticketing of the Trans Semarang Bus. E-ticketing is a cashless bus ticket payment with the aim to facilitate the service process. The implementation of E- ticketing Trans Semarang Bus engine technology sometimes experiences the obstacles due to crowded service conditions, non-conducive network and signals, so the e-ticketing machine is error and unable to quickly detect data balance. The service clerk has not been able to be technically competent to deal with problems that occur suddenly when the e-ticketing machine is in trouble. The aim of conducting research is to assess the sustainability status of e-ticketing Trans Semarang Bus, which is viewed from the dimensions of input, process, and output, in attempt to determine the factors/attributes that influence the sustainability of the e-ticketing Trans Semarang Bus. The research employed descriptive qualitative-quantitative method with Multidimensional Scaling analysis. This research is expected to be an input in the formulation of the smart city development strategy of Semarang City Government, especially in the transportation sector. The results of the research show the sustainability status of e-ticketing Trans Semarang Bus on the good conditions of input dimension because it is supported by an integrated service, device and technology-oriented roadmap; integrated IT system framework in terms of hardware, software and networks; and IT network infrastructure. The sustainability status of e-ticketing Trans Semarang Bus is in good condition in the dimensions of the process which is supported by collaboration and cooperation among stakeholders; operational financing includes IT professionals, operations, maintenance. Meanwhile, the output dimension has a fairly sustainable status. This might be caused by other factors that need to be comprehensively evaluated.Keywords : Sustainability, Bus Trans Semarang, smart city, multidimensional scaling. Salah satu fasilitas layanan publik yang menggunakan IT di sektor transportasi adalah e-ticketing Bus Trans Semarang. Eticketing merupakan pembayaran tiket bus cashless yang bertujuan untuk mempermudah proses pelayanan. Penerapan teknologi mesin e-ticketing Bus Trans Semarang terkadang mengalami kendala akibat kondisi pelayanan yang ramai serta jaringan dan sinyal yang tidak kondusif, sehingga mesin e-ticketing menjadi error sehingga tidak mampu mendeteksi data saldo dengan cepat. Secara kompetensi teknis, petugas pelayanan belum mampu mengatasi permasalahan yang terjadi secara tiba-tiba ketika mesin e-ticketing mengalami gangguan (trouble). Tujuan penelitian mengenai penilaian status keberlanjutan e-ticketing Bus Trans Semarang yang ditinjau dari dimensi input, proses, dan output adalah untuk mengetahui faktor/atribut yang berpengaruh terhadap keberlanjutan e-ticketing Bus Trans Semarang. Penelitian ini menggunakan metode deskriptif kualitatif-kuantitatif dengan analisis Multidimensional Scaling. Penelitian ini diharapkan dapat menjadi masukan dalam perumusan strategi pengembangan kota pintar Pemerintah Kota Semarang khususnya sektor transportasi. Hasil penelitian menunjukkan bahwa status keberlanjutan e-ticketing Bus Trans Semarang pada dimensi input dalam kondisi baik karena didukung dengan roadmap terintegrasi yang berorientasi pada service, device, dan teknologi; framework sistem IT yang terintegrasi dari sisi hardware, software, dan jaringan; dan infrastruktur jaringan IT. Status keberlanjutan e-ticketing Bus Trans Semarang pada dimensi proses dalam kondisi baik karena didukung kolaborasi dan kerjasama antar stakeholders; pembiayaan operasional yang mencakup profesional IT, operasi, pemeliharaan, pelatihan, dan konsultan; dan interoperabilitas platform IT pada sisi aplikasi dan service. Sedangkan dimensi output memiliki status cukup berkelanjutan. Hal ini kemungkinan dapat disebabkan oleh faktor lain yang perlu untuk dievaluasi secara komprehensif.Kata kunci :Keberlanjutan, Bus Trans Semarang, Kota Pintar, Multidimensional Scaling.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".