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All Journal Journal of Industrial View Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Tri Ngudi
Universitas Pelita Bangsa
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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ANALISA TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN PERUSAHAAN OTOBUS XYZ MENGGUNAKAN METODE NAÏVE BAYES Wiyanto W; Tri Ngudi; Asep Saefulloh
Jurnal Pelita Teknologi Vol 15 No 1 (2020): Maret 2020
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.076 KB) | DOI: 10.37366/pelitatekno.v15i1.243

Abstract

The inter-city public transport competition between provinces encourages otobus companies to require maximum service quality for customer satisfaction. PO. XYZ is one of the otobus companies that is interested in the people of Central Java and East Java in general to the capital city of Jakarta and surrounding areas, but the level of customer satisfaction for the services provided has not been well predicted. Therefore we need an analysis of the level of satisfaction with the services provided. From these considerations, the authors use the Naïve Bayes method to analyze customer satisfaction with customer satisfaction PO. XYZ. The test uses Rapidminer 9.1, and is implemented into a web-based system to make it easier to determine the level of customer satisfaction. Based on the results of the analysis obtained in the research conducted applying the Naïve Bayes method for prediction of customer satisfaction with services from PO. XYZ It can be concluded that, the Naïve Bayes Method is used by using training data to obtain the probability of each criterion for different classes, then the values ​​of these criteria can be optimized to predict new customer satisfaction, namely by testing the data. From the results of tests that have been done, get a high level of accuracy that is equal to 94.00%. Keywords: Customer Satisfaction, Data Mining, Naïve Bayes, Data Training, Data Testing, Rapidminer.
Analisis Sistem Antrian Gudang Cross-dock dengan menggunakan Sistem Antrian (M/M/S) Pada Industri Perakitan Mobil Adi Fitra; Suhendra Suhendra; Tri Ngudi
Journal of Industrial View Vol. 6 No. 1 (2024)
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jiv.v6i1.12326

Abstract

AbstractThe car assembly industry continues to grow, especially in Indonesia. Logistics is one of the fields that supports the car assembly industry such as the Cross-dock warehouse. The Cross-dock warehouse itself has a capacity limit in receiving queues of containers received in the truck unloading waiting area. Queue analysis was carried out at the Cross-dock company in the car assembly industry in Cikarang using the Queue method (M/M/S). Where the current container receiving capacity is obtained at a maximum of 12 containers per hour and the unloading capacity of 2 containers per hour will not exceed the waiting capacity for container unloading as many as 8 containers, if it is found that the arrival of containers exceeds 12 containers, it will result in the container being outside the Cross-dock system and must be outside the Cross-dock warehouse. AbstrakIndustri perakitan mobil terus berkembang khususnnya di Indonesia. Logistik adalah salah satu bidang yang mensupport industri perakitan mobil seperti adanya gudang Cross-dock. Gudang Cross-dock sendiri mempunyai batasan kapasitas dalam menerima antrian container yang diterima di area tunggu bongkarang truk. Analisa antrian dilakukan pada perusahaan Cross-dock di Industri perakitan mobil di Cikarang dengan menggunakan metode Antrian (M/M/S). Dimana didapatkan kapasitas penerimaan container saat ini sudah maksimal dengan 12 container perjam dan kapasitas bongkaran 2 kontainer perjam tidak akan melebihi dari kapasitas tunggu bongkaran kontainer sebanyak 8 kontainer jika didapati kedatangan kontainer melebihi dari 12 kontainer maka akan mengakibatkan container berada diluar dari system Cross-dock dan harus berada di luar dari gudang Cross-dock.
Co-Authors Adi Fitra Asep Saefulloh Suhendra Wiyanto Wiyanto