MétaCan
Menu
Back to cohort
Record W1590569120

ANALISIS WAKTU STANDAR EVENT BEFORE DEPARTURE CHECK, TRANSIT CHECK, DAN DAILY CHECK PADA UNIT LINE MAINTENANCE (STUDI KASUS PT ABC)

2015· article· id· W1590569120 on OpenAlexaboutno aff
Vino Tirtana Ramdhan

Bibliographic record

VenueJurnal Ilmiah Universitas Bakrie · 2015
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsStopwatchPhysics
DOInot available

Abstract

fetched live from OpenAlex

PT. ABC adalah salah satu perusahaan yang bertugas melakukan service atau pelayanan di bidang Maintenance, Repair, and Overhaul (MRO). Transit check, before departure check , dan daily check merupakan perawatan di unit line mainten an ce . Salah  satu parameter keberhasilan pada unit ini adalah waktu perawatan yang tepat. Waktu standar yang ditetapkan PT ABC merupakan asumsi waktu terlama. Untuk mendeteksi performansi secara pasti, maka diperlukan standar waktu pengerjaan berdasarkan pengukuran secara langsung. Sehingga perusahaan dapat mendapatkan waktu standar sesuai pengukuran langsung. Penelitian ini menggunakan stopwatch time study yang diawali dengan observasi lapangan untuk mendapatkan waktu aktual, performance rating, dan allowance. Kemudian dihitung waktu standar pengerjaan. Hasil dari penelitian yang dilakukan diperoleh waktu standar transit check 61.08 menit, before departure check 69.2 menit, daily check 70 menit. Nilai ini lebih kecil dibandingkan waktu perkiraan perusahaan dengan selisih transit check 13,92 menit, before departure check 59,8 menit, daily check 50 menit. Dalam penelitian ini dilakukan analisa perbedaan waktu. Kata Kunci : MRO, time study, waktu  standar PT. ABC is one of service companies which engaged in areas of Maintenance, Repair, and Overhaul (MRO). Transit check, before departure check, and daily check are the activities on the maintenance line unit. One of the success parameters in this unit is the proper maintenance time. Standard time which established by PT ABC is the longest time assumptions. To detect the performance for sure, then standard of processing time is required by doing direct measurement. Therefore, company can get standard time based on direct measurement. This research uses stopwatch time study method that begins with field observation to get actual time, performance rating and allowance. Afterwards, calculate the standard processing time. The research result has obtained standard time of each maintenance activities such as transit check is 6 1.08 minutes, before departure check is 69.2 minutes, daily check is 70 minutes. This value smaller than corporate estimated time with difference of transit check 13,92 m inutes , before departure check 59,8 m inutes , daily check 50 m inutes. This research aims to analyze the differences of  time. Keywords : MRO, time study, standard time DAFTAR PUSTAKA Cahyani, F. I. (2010). Penentuan Waktu Standar Perawatan komponen pada main wheel dan steel brake di wheel dan brake shop (Studi Kasus PT. GMF AeroAsia. Canada, T. (2014, Agustus 18). Canadian Aviation Regulations 2008-1. Dalam Canadian Aviation Regulations 2008-1 (hal. PArt 1- General Provisions, Subpart 1 ). Dyah Ika Rinawati, P. F. (2012). Penentuan Waktu Standar dan Jumlah Tenaga Kerja Optimal Pada Produksi Batik Cap (Studi Kasus IKM Bstik Saud Effendy, Laweyan). Jurnal . Eben, R. H. (2011). ANALISA PENINGKATAN KAPASITAS PRODUKSI PADA LINE ASSEMBLING TRANSMIS PT. X DENGAN METODE LINE BALANCING. ANALISA PENINGKATAN KAPASITAS PRODUKSI PADA LINE ASSEMBLING TRANSMIS PT. X DENGAN METODE LINE BALANCING . Feryani, Y. E. (2012). Standarisasi Kerja Pada Proses Pengemasan Benih Jagung Hibrida Varietas Bisi-2 Di PT Benih Inti Subur Intani (BISI) Kediri . Hinggis, L. R., & Mobley, K. (2002). Maintenance Engineering Handbook. McGraw-Hill. Kurnia Ayu, S. H. (t.thn.). Studi waktu (Time Study) pada Aktivitas Pemanenan Kelapa Sawit di Perkebunan Sari Lembah Subur Riau. 2014. Mike. (2014, Januari 07). Airline Basics . Dipetik Maret 20, 2015, dari Airlinebasics.com: http://airlinebasics.com/aircraft-maintenance-line-base-and-defects/ Niebel, B. (2003). Methods, Standards, and Work Design. Dalam E. Niebel, Methods, Standards, and Work Design (hal. 434). North America: McGraw-Hill. Novita Sukma, A. H. (-). Analisis Pengukuran Kerja Dengan Mtode Pengukuran Kerja Secara LAngsung Pada BAgian Pengemasan PT. JAPFA COMFEED INDONESIA TBK. Jurnal . Pardede, M. P. (2005). Manajemen Operasi dan Produksi ( Teori, Model, dan Kebjiakan). Yogyakarta: Andi. Purnomo, H. (2004). Pengantar Teknik Industri Edisi Kedua. Dalam P. H, Pengantar Teknik Industri Edisi Kedua. Yogyakarta: Graha Ilmu. Siregar, V. A. (2011). Analisa Efisiensi dan Utilitas Penggunana Waktu Produksi untuk menentukan Jumlah Tenaga Kerja dengan Pengukuan Waktu Standar Menggunakan Metoda Stopwatch Time Study Pada PT. Cahaya Bintang Medan. Skripsi . Sugiono. (2009). Metode Penelitian Pendekatan Kuantitatif, Kualitatif dan R & D. Dalam A. Beta, Metode Penelitian Pendekatan Kuantitatif, Kualitatif dan R & D. Bandung: Alfa Beta. Wignjosoebroto, S. (2008). Ergonomi, Studi Gerak dan Waktu; Teknik Analisis Untuk Peningkatan Produktivitas Kerja. Surabaya: Guna Widya.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.022
GPT teacher head0.236
Teacher spread0.214 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJurnal Ilmiah Universitas BakrieSame topicManagement and Optimization TechniquesFrench-language works237,207