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Record W2959337679 · doi:10.25104/warlit.v31i1.977

Penilaian Status Keberlanjutan E-Ticketing Bus Trans Semarang Mendukung Kota Pintar dengan Pendekatan Multidimensional Scaling

2019· article· en· W2959337679 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

VenueWarta Penelitian Perhubungan · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTicketService (business)Multidimensional scalingSustainabilityPaymentDimension (graph theory)Process (computing)Transport engineeringComputer scienceBusinessComputer securityEngineeringMarketingWorld Wide WebOperating systemMathematics

Abstract

fetched live from OpenAlex

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.269
Teacher spread0.253 · 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