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CKI On Spot
Published by Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
ISSN : 19797044     EISSN : 25982990     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal CKI on Spot diterbitkan oleh STIKOM CKI sejak 2016. Jurnal CKI on Spot memuat naskah hasil-hasil penelitian di bidang Teknologi Informasi dan Ilmu Komputer. Ruang lingkup Cki On Spot adalah sebagai berikut: Domain Specific Frameworks and Applications IT Management dan IT Governance e-Government e-Healthcare, e-Learning, e-Manufacturing, e-Commerce ERP dan Supply Chain Management Business Process Management Smart Systems Smart City Smart Cloud Technology Smart Appliances & Wearable Computing Devices Robotic Systems Smart Sensor Networks Information Infrastructure for Smart Living Spaces Intelligent Transportation Systems Models, Methods and Techniques Conceptual Modeling, Languages and design Software Engineering Information-centric Networking Human Computer Interaction Media, Game and Mobile Technologies Data Mining Information Retrievel Information Security Image Processing and Pattern Recognition Remote Sensing Natural Language Processing
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol 11, No 2 (2018): CKI On SPOT" : 12 Documents clear
PENERAPAN TEXT MINING UNTUK ASSINGMENT COMPLAINT HANDLING CUSTOMER TERHADAP DIVISI TERKAIT MENGGUNAKAN METODE DECISSION TREE ALGORITMA C4.5 (STUDI CASE : PT. XL AXIATA, TBK) Dedi Dwi Saputra; Bryan Pratama; Yuma Akbar; Windu Gata
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACTError assignment on customer complaints handling against a division causes customer complaints not to be processed optimally, this can lead to a negative war of mouth in a company. The purpose of this research is to make an implementation of handling customer complaints towards a division processed optimally by using text mining and the C4.5 algorithm. From the results of these research will be evaluated and validated with the ROC curve to determine the level of accuracy on the decision tree in making classification of complaint handling of the division. With this decision support system, it’s expected to facilitate and accelerate a complaint from the customer and maximize customer service performance in the company PT. XL Axiata, Tbk.Keywords: Customer; Complaint handling; Text mining; Decission tree; Algoritma C4.5;
PERANCANGAN PROGRAM LOYALITAS PELANGGAN DENGAN METODOLOGI WATERFALL UNTUK MENINGKATKAN LAYANAN PADA KING LAUNDRY
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACT Maintaining old customers is more difficult than getting new customers because now information can be accessed online and easily. This makes buyers have many choices to try similar products with other brands or stay on one brand. Competition in the laundry business in residential areas is increasingly widespread, so many laundry businesses are losing customers with various reasons. Building a customer loyalty program at the laundry business is intended to keep customers from moving elsewhere. There are two main objectives of the customer loyalty pro8gram, the first is to increase sales revenue by increasing the level of purchases. The second goal is to build closer ties between brands and customers. The loyalty program developed aims to provide certain prizes based on the number of points collected by the customer. Points are collected based on the quantity of items you want to wash, calculated per kilogram. Points become a measure of customer loyalty as well as a benefit for customers. This system is an effort to improve the services of King’s Laundry.Keywords:   Customer loyalty, loyalty point, reward programs 
MARKET BASKET ANALYSIS MENGGUNAKAN ALGORITMA APRIORI BERBASIS BAHASA R (Studi Kasus Transretail Indonesia) M Jundi Hakim; Yuma Akbar
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACTMarket Basket Analysis are processing technique for discovery of relationships between various kinds of goods. The main Objective of the Market Basket Analysis in retail to provide information for distributors to find out the purchasing behaviour of customers, which can assist distributors in creating the right choice. There are various the algorithm is available to conduct market basket analysis. This journal discusses data mining techniques, with association rules that can help examine customer buying behaviour and held increase sales. The results can provide price references for cross selling, designing promotions and a placing merchandise in stores to increase sales. Keywords:    Market Basket analysis; Ritel; Data Mining
ANALISA SISTEM INFORMASI SURAT PENGANTAR MASYARAKAT ( SPM ) DI KELURAHAN TOMANG BERBASIS WEB Besus Maula Sulthon
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACT Letter of introduction of the community or in short (SPM) is a letter of introduction made by representatives of government agencies in rural areas i.e. wards, where the usefulness of SPM is very needed by all layers to leglisasai management the filing of a legal body, and the need for ease in making, maintaining SPM, as well as the status of SPM already made on the local neighborhood, the application of SPM SISFO present to mejawab it all with applications that are accessible can WEBASE anytime and anywhere by all who ask in any medium, such as mobile phone and computer. Keywords: SPM, System applications, Handphone, SISFO, Webase
PENERIMAAN CALON SISWABARU DAN PENENTUAN PENJURUSAN DENGAN ALGORITMA C 4.5 SMK PLUS PGRI 1 CIBINONG Sumpena Sumpena; Yuma Akbar; Nirat Nirat
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACTEducational institutions at the moment especially Vocational Schools are required to have superior competitiveness in all sectors by utilizing all the resources they have, including prospective students - they must have the special expertise they have as long as they study at Vocational High Schools (Vocational High Schools) . Decission tree method is a flowchart structure that is similar to a tree structure, each tree point is an attribute that has been tested, each branch is a test result, and the end point is a class division produced C4.5 algorithm and decision tree are two inseparable models, because to build a decision tree, it needs a C4.5 algorithm. From the existing problems, a method is used to classify prospective students based on majors, namely by using the C.45 algorithm method and Rapid Miner Application. Keywords:    Majoring in prospective students, Decission Tree, C.45 Algorithm 
IMPLEMENTASI DATA MINING DALAM PENERBITAN SURAT PENETAPAN TARIF DAN NILAI PABEAN MENGGUNAKAN METODE CLASSIFICATION PADA DIREKTORAT JENDERAL BEA DAN CUKAI Sri Lestari; Herta Apriani Silaban
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACT Directorate General of Customs and Excise, which is an agency under the Ministry of Finance which has the duties and strategic functions in carrying out supervision in the field of export imports. Submission of customs documents is self assessment because only company know about the goods imported so needs to be inspected by Customs and Excise Officials. In the event that the customs inspection result is found a wrong notification, the Customs and Excise Officer will make a correction and be stated in a letter called Surat Penetapan Tarif dan Nilai Pabean (SPTNP). Data mining is a term used to describe the discovery of knowledge in a database. Data mining classification method using CRISP-DM research model can be used to provide predictions in the determination of SPTNP. Classification process is done by comparing three classification algorithms, namely Decision Tree, Naive Bayes, and Logistic Regression. The results of the classification process are evaluated using Confusion Matrix and T-Test to get the best accuracy logarithms. This research also uses Correlation Matrix to determine the relationship between factors.Keyword: Data Mining, Classification, CRISP-DM 
PENERAPAN ALGORITMA DECISION TREE C4.5 DALAM PENERIMAAN GURU PADA SMK SIRAJUL FALAH PARUNG Siti Nurlela; Lestari Yusuf; Hermanto Hermanto; Elah Nurlelah; Mahmud Syarif
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACTSirajul Falah Vocational School is one of the private vocational high schools located in Bogor that always strives to improve quality both internally and externally on an ongoing basis in order to compete with other vocational high schools. One of the efforts made is to provide teachers who are ready to educate students of the Sirajul Falah Vocational School. However, the process of teacher acceptance in the Sirajul Falah Vocational School is still subjective. The C4.5 algorithm will be used in this study. Decision tree is a very strong and famous classification and prediction. The C4.5 algorithm is an algorithm used to form a decision tree to predict or classify a very strong one. In C4.5 algorithm to build a decision tree the thing to do is to choose an attribute as root, then create a branch for each value in the root.Keywords: C4.5 Algorithm, Data mining, Teacher acceptance.
SISTEM INFORMASI SELEKSI PENERIMA PROGRAM INDONESIA PINTAR DENGAN MENGGUNAKAN METODE MAUT Elyana Elyana; Ai Illah Warnilah
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACT With the development of the internet that could make people easier to access various information that is happening, as well as information for government assistance, one of them is assistance for students that can reduced the cost of education with the existence of government assistance in the form of Smart Indonesian Program through Smart Indonesian Card. Yayasan Islam Elementary School of Tasikmalaya is an institution engaged in education. In this school, Smart Indonesian Program reception was still manual starting from recording, recapping and making reports were still done one by one which make the lack of data accuracy. For that the author try to make the final project about Information System of Smart Indonesian Program Receiver Selection Using Maut (Multy Attribute Utility Theory) Method in Yayasan Islam Elementary School because it is not computerized yet, the system carried out in this school is still manual. In this System Design, author used Maut Method for decision support systems so that the school can select underprivillaged students easily from determined criterias, This Information System Design is the best solution for solve problems that exist in school with Maut Method could find students who are untitled and not untitled for Smart Indonesian Program assistance. In this selection, the highest value was 2,16 and the lowest value was 0,90.
PERANCANGAN PROGRAM PERSEDIAAN BARANG DAGANG PADA CV. SATRIA JAYA Rifky Permana
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
Publisher : STIKOM CKI

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Abstract

ABSTRACT CV. Satria Jaya is a trade company which is engaged in sales of office stationery. Goods stock tabulation activity in CV. Satria Jaya still using manual program. With the expantion of transfer supply activity which is more rise, it is appear some problem such as some mistakes in doing the registration about transfer goods supply, less accurate report and need long time to entry data service or goods transfer report, and searching file which is need delays. Goods stock design program is a solution which is can solve the problem in this company. With this program hope can achieve goods supply entry data activity which is efficient and accurate, and getting faster information, accurate and less risk .Keywords:   Program Design; Merchandise Inventory Program 
ANALISIS PENGARUH E-SERVICE QUALITY TERHADAP CUSTOMER SATISFACTION YANG BERDAMPAK PADA CUSTOMER LOYALTY PT BAYU BUANA TRAVEL TBK Doddy Mulyadi Saputra; Sumpena Sumpena; Yuma Akbar
CKI ON SPOT Vol 11, No 2 (2018): CKI On SPOT
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Abstract

ABSTRACTThe purpose of this study is to determine the effect of e-service quality on customer satisfaction and its impact on customer loyalty of PT Bayu Buana Travel, Tbk. With non-probability technique (census), questionnaires were collected and used in data processing using Structural Equation Modeling with WarpPLS program and Importance Performance Analysis methods. Based on this research, it was found that e-service quality has an influence on customer satisfaction, customer satisfaction has an influence on customer loyalty, e- service quality has an influence on customer loyalty, and e-service quality and customer satisfaction has an influence on customer loyalty. The e-service quality attributes, such as the website providing accurate information, the website having a good reputation, all online payment be confirmed, the website easy to use, and the products/services on the website delivered according to the time, need to be improved and enhanced.Keywords:  e-service  quality,  customer  satisfaction,  customer  loyalty,  structural  equation  model,  important performance analysis

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