Shanghai Foreign Economic & Trade International Freight Forwarding Co., Ltd. v. Zhongxing Telecommunication Equipment Corporation

The role of the power supply device is to produce, process and distribute energy sources. Telecommunication equipment can only operate if it has continuous supply. Therefore, to maintain the continuity of the supply, a UPS (Uninterruptable Power Supply) device system is needed so that the supply to the Essential Load device will remain available so that continuity will be maintained. This research designs and proposes how a series of automatic redundant switch systems on UPS to ensure the availability of power supply for the main equipment of telecommunications systems. The Auto switch circuit is designed to have 3 (three) working stages which will trigger the relay driver as control circuit, namely the normal working condition of the contactor input K1 is present, the input condition is zero (lost), and the input condition is present. This system can automatically supply power to telecommunications equipment.

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PENGARUH JASA PELAYANAN FREIGHT FORWARDING TERHADAP KEPUASAN PELANGGAN

JURNAL SAINS DAN TEKNOLOGI MARITIM ◽

10.33556/jstm.v0i1.186 ◽

2018 ◽

Author(s):

Andar Sri Sumantri ◽

Radix Nugrahanto

Keyword(s):

Customer Satisfaction ◽

Service Quality ◽

Secondary Data ◽

Sampling Technique ◽

Positive Influence ◽

Linear Regression Equation ◽

Independent Variables ◽

Freight Forwarder ◽

Freight Forwarding ◽

A Company

Customer is an important factor for the survival of a company. At a time, company sometimes didn’t know the level of customer satisfaction. If the company continues with this situation, the company would not know the next strategies to develop the company. There are many factors that connected with customer such as trust, facility and service quality. This research objective is to analyze if there is a positive influence, both individually and simultaneously between independent variables which are trust, facility and service quality to the dependent variable which is customers. In this research the object are the customers of PT Panah Persada Logisindo Semarang. The data sources are primary and secondary data using sampling technique of 80 respondents. The results of multiple linear regression equation show that there is a positive influence and partial significant between (t= 3,543 > ttebal = 1, 99167) Trust, (t=4,976 >ttebal=1,99167 ) Facility and (t =3,908 > ttebal= 1, 99167) Service Quality effected by customer satisfaction.Keywords: Trust, Facility, Service Quality, Customer SatisfactionKepuasaan Pelanggan merupakan faktor penting terhadap kelangsungan hidup sebuah perusahaan. Masalah yang dihadapi perusahaan saat ini berkaitan dengan tidak diketahuinya kepuasaan Pelanggan setiap tahun, Jika ini dibiarkan terus menerus, perusahaan tidak dapat menentukan strategi untuk meningkakan kepuasaan pelanggan. Ada banyak faktor yang mempengaruhi Kepuasaan Pelanggandipengaruhi oleh kepercayaan, fasilitas dan Kualitas Pelayanaan. Perumusan masalah, tujuan penelitian dan hipotesis pada latar belakang masalah dan tujuan penelitian ini untuk menganalisis adakah pengaruh yang positif baik secara individual dan simultan antara variabel independen yaitu kepercayaan, fasilitas, kualitas pelayanaan terhadap variabel dependen yaitu Kepuasaan Pelanggan. Pada penelitian ini obyek yang diambil pengguna jasa Freight forwarder PT Panah Persana Logisindo Semarang Sumber data meliputi data primer dan sekunder. Sampel pada penelitian ini adalah 80 responden teknik sampling yang digunakan seluruh populasi dijadikan sample. Berdasarkan hasil penelitian dan analisis berganda dihasilkan persamaan : Hasil persamaan regresi linear berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan secara parsial antara ( t hitung = 3,543> t tabel = 1,99167) kepercayaan, (t hitung4,976 > t tabel =1,99167) Fasilitas ( t hitung = 3,908> t tabel = 1,99167) Kualitas pelayanaan terhadap Kepuasaan Pelanggan.Kata kunci : Kepercayaan, Fasilitas, Kualitas Pelanggan. Kepuasaan Pelanggan

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Algorithm Comparation of Naive Bayes and Support Vector Machine based on Particle Swarm Optimization in Sentiment Analysis of Freight Forwarding Services

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ◽

10.29207/resti.v4i2.1840 ◽

2020 ◽

Vol 4 (2) ◽

pp. 362-369

Author(s):

Sharazita Dyah Anggita ◽

Ikmah

Keyword(s):

Support Vector Machine ◽

Sentiment Analysis ◽

Naive Bayes ◽

Naïve Bayes ◽

Support Vector ◽

The Public ◽

Svm Algorithm ◽

Bayes Algorithm ◽

Freight Forwarding ◽

Improved Accuracy

The needs of the community for freight forwarding are now starting to increase with the marketplace. User opinion about freight forwarding services is currently carried out by the public through many things one of them is social media Twitter. By sentiment analysis, the tendency of an opinion will be able to be seen whether it has a positive or negative tendency. The methods that can be applied to sentiment analysis are the Naive Bayes Algorithm and Support Vector Machine (SVM). This research will implement the two algorithms that are optimized using the PSO algorithms in sentiment analysis. Testing will be done by setting parameters on the PSO in each classifier algorithm. The results of the research that have been done can produce an increase in the accreditation of 15.11% on the optimization of the PSO-based Naive Bayes algorithm. Improved accuracy on the PSO-based SVM algorithm worth 1.74% in the sigmoid kernel.

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