Faktor-Faktor yang Mempengaruhi Minat Masyarakat Menggunakan Commuter Line di Wilayah Kabupaten Lebak
Bibliographic record
Abstract
Abstract. The phenomenon of a significant increase in KRL Commuter Line users on the Rangkasbitung-Tanah Abang route with the number of passengers reaching 8,812,911 people in 2024 reflects the growing mobility needs of the peri-urban community of Lebak Regency. This encourages the need to identify factors that influence public interest in using Commuter Line transportation. The research method uses a quantitative approach with confirmatory factor analysis of the Lebak Regency community of Commuter Line users through a purposive sampling technique. Primary data were collected using a questionnaire on 100 respondents determined by the Slovin formula. Data processing was carried out by factor analysis through SPSS 22, including the KMO test, Barlett's Test, and Principal Component Analysis with Varimax rotation. The results show the formation of two main factors that explain 62.897% of the total variance. The first factor is the physical service dimension and operational regulations (42.191% of the variance), including the condition of facilities, station facilities, comfort, security, and regulatory effectiveness. The second factor is the economic dimension and perceived value (20.706% of the variance), including the perception of travel costs and their suitability to the service. The conclusion shows that public interest in using the Commuter Line is influenced integratively by the quality of operational services and perceptions of economic value, so that public transportation management needs to accommodate both aspects holistically. Abstrak. Fenomena peningkatan signifikan pengguna KRL Commuter Line rute Rangkasbitung-Tanah Abang dengan jumlah penumpang mencapai 8.812.911 jiwa pada tahun 2024 mencerminkan kebutuhan mobilitas masyarakat peri-urban Kabupaten Lebak yang terus berkembang. Hal ini mendorong perlunya identifikasi faktor-faktor yang mempengaruhi minat masyarakat menggunakan transportasi Commuter Line. Metode penelitian menggunakan pendekatan kuantitatif dengan analisis faktor konfirmatori terhadap masyarakat Kabupaten Lebak pengguna Commuter Line melalui teknik purposive sampling. Data primer dikumpulkan menggunakan kuesioner pada 100 responden yang ditentukan dengan rumus Slovin. Pengolahan data dilakukan dengan analisis faktor melalui SPSS 22, meliputi uji KMO, Barlett's Test, dan Principal Component Analysis dengan rotasi Varimax. Hasil menunjukkan terbentuknya dua faktor utama yang menjelaskan 62,897% varians total. Faktor pertama adalah dimensi pelayanan fisik dan regulasi operasional (42,191% varians), meliputi kondisi sarana, fasilitas stasiun, kenyamanan, keamanan, dan efektivitas regulasi. Faktor kedua adalah dimensi ekonomi dan persepsi nilai (20,706% varians), mencakup persepsi biaya perjalanan dan kesesuaiannya dengan layanan. Kesimpulan menunjukkan minat masyarakat menggunakan Commuter Line dipengaruhi secara integratif oleh kualitas layanan operasional dan persepsi nilai ekonomis, sehingga pengelolaan transportasi publik perlu mengakomodasi kedua aspek tersebut secara holistik.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".