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Record W758186985 · doi:10.5614/jts.2010.17.3.3

Manajemen Taman Milik Pemerintah Kota Bandung Berbasiskan Pendekatan Manajemen Aset

2010· article· id· W758186985 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 Teknik Sipil · 2010
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusinessBusiness administrationPolitical science

Abstract

fetched live from OpenAlex

Abstrak. Manajemen aset merupakan pendekatan yang awalnya diterapkan oleh sektor privat dan terbukti menghasilkan keuntungan yang signifikan, sehingga mulai diadopsi oleh pemerintah untuk mengelola aset-aset publik. Penerapan manajemen aset di sektor publik lebih banyak pada pengelolaan infrastruktur seperti jaringan jalan (roads), rel kereta api (railroads), drainase (drainage), gorong-gorong (culverts), jaringan listrik (electricity), dan mulai meluas ke aset real property seperti lahan (lands) dan bangunan (buildings). Salah satu aset penting perkotaan adalah taman. Taman sebagai salah satu bagian dari Ruang Terbuka Hijau (RTH) memiliki peran dan manfaat yang besar bagi masyarakat perkotaan. Namun, kebanyakan manfaat taman sifatnya berorientasi jangka panjang dan tidak secara langsung memberikan keuntungan ekonomi yang besar seperti halnya mall, permukiman, pertokoan, dan fasilitas sosial lainnya. Akibatnya, seringkali keberadaan taman dikesampingkan. Beragam persoalan taman terkait kuantitas dan kualitas kerap dijumpai di kota-kota besar di Indonesia, salah satunya Kota Bandung. Untuk mengatasi persoalan-persoalan tersebut, pengelolaan taman dapat dilakukan dengan menerapkan konsep manajemen aset. Penelitian ini bertujuan untuk menerapkan model pendekatan manajemen aset terhadap taman berbasiskan Sistem Informasi Geografis (SIG) dalam rangka mengoptimalkan fungsi taman. Penelitian ini menggunakan metodologi deskriptif melalui teknik wawancara dengan pihak-pihak terkait pengelolaan taman dan observasi lapangan pada taman-taman yang ada di wilayah penelitian.Abstract. Asset management is an approach that initially was applied by private sector and had been proven to generate significant benefits to the corporate. Therefore, this concept was adopted by government to manage public assets. The implementation of asset management in public sectors tends to be applied for infrastructure management such as roads, railroads, drainage, culverts, electricity, and starting to expand for real property assets such as lands and buildings. One of many important city assets is park. Park as a part of green space has been playing a great role and giving so much benefit for the citizen. Unfortunately, most of the benefits of parks are long-term oriented and do not instantly provide great economic benefits as mall, housing, shopping center, and other social facilities do. Consequently, the presence of park is being neglected often. Various issues related to quantity and quality of park is found in big cities in Indonesia, such as Bandung City. In order to resolve these issues, park management could be conducted by implementing asset management concept. This research aims to apply asset management approach to the park, based on Geographic Information System (GIS) in order to optimize the function of the park. This study used a descriptive methodology through technical interviews with relevant parties and field observations at existing parks in the area of research.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.287
Teacher spread0.273 · 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