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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 79 Documents
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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 
PENGARUH PROFITABILITAS DAN KEBIJAKAN DEVIDEN TERHADAP NILAI PERUSAHAAN PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BEI TAHUN 2006 – 2010 Sri Lestari
CKI ON SPOT Vol 9, No 1 (2016): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

The purpose of this research is to empirically study effect of net profitability and dividend policy either partially or simultaneously toward firm value. Ratio of profitability is Return on Equity (ROE) and ratio of dividend policy is Dividend Payout Ratio (DPR). Population of this research are banking firm that list in Indonesia Stock Exchange (IDX). The sample used purposive sampling method and result ten banking firms that used as samples in this research. Data for this research is secondary data. Independent variables for this research are ROE and DPR, and dependent variable is firm value. Method that use are classic assumptions test with multiple regression. Result of this research, the influence between ROE and DPR toward firm value are significant simultaneously. Partially, only ROE can explain significantly toward firm value, while DPR do not influence significantly.Keyword: ROE, DPR and firm value
SISTEM INFORMASI PENDAFTARAN MITRA GRABCAR PADA PT. GRABCAR INDONESIA
CKI ON SPOT Vol 11, No 1 (2018): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

High technological developments have brought many changes to our lives, information technology is perceived to have an important role because with the advancement of information technology will improve the productivity of the industrial world, especially from the field of creative industries based applications. This can be seen by the presence of many online transportation applications in Indonesia. One of them is PT. GRABCAR INDONESIA a brand that is the result of the rebranding of GrabTaxi. The Grab hopes the Jakarta community can become a loyal customer of Grab transportation service. The Grab Company will also take note of the drivers that are available today, can be seen from the customer response where the comparison between passengers and driver partners found there are still long-standing customers. The strategy that has been done by Grab's company has been provided registration online for driver partner Grab. In order to provide satisfied service and good experience when traveling with Grab transportation services. In order for the Grab transport service company to get a positive response from the company community Grab will think about how to make all customers satisfied with Grab transportation services and can be a material improvement for transportation service company Grab.
IMPLEMENTASI DSS MENGGUNAKAN METODE PROFILE MATCHING DALAM PENILAIAN KINERJA KARYAWAN PADA CV. INSYA EVERYTHING Mesra Betty Yel; Heny Nengsih
CKI ON SPOT Vol 14, No 2 (2021): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

Decision Support System Information is a system that can assist managers in making decisions based on criteria that have been determined by the company. Decision Support Systems assist in the assessment process so that there is no subjective judgment in decision making. Assessment based on predetermined criteria is expected to determine which employees are entitled to the right position according to their achievement. Many methods can be used in the creation of a DSS system. One method that can be used in making a decision support system is the Profile Matching method. It is hoped that the application of the profile matching method in the decision-making system can help the process of evaluating employee performance effectively and accurately so that the level of human resources can be maintained and improved. The result of the calculation process using the profile matching method is the value that is ranked based on the largest value. The results of this ranking value will be used as a reference in helping managers to make decisions. The software used in making this decision support system application is the PHP programming language with the MySQL database.
PENGEMBANGAN ALGORITMA NEURAL NETWORK BERDASARKAN RENTANG WAKTU UNTUK PREDIKSI HARGA PERDAGANGAN VALUTA ASING Muryan Awaludin; Yuhanes Zico Rahwanto
CKI ON SPOT Vol 10, No 2 (2017): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

Foreign exchange trading is one of the largest financial markets in the world, therefore the movement of foreign exchange prices is always fluctuating every day. Therefore, an accurate prediction system is needed to determine the price that will occur. Predicted prices can help traders in determining the right position in running this business. Predicted price can be done by doing analysis on data formed in the past. One way that can be done is to perform technical analysis by using artificial neural network. In this study neural network will be used to predict the price of the euro against the US dollar on daily movement. The artificial neural networks used are trained with supervised learning methods, which use the input and output data sets. Through network learning can recognize patterns between input and output. The algorithm used is backpropagation, this algorithm uses error value to change network weight at step back propagation. While the error value is obtained through advanced browsing steps, which do first. The performance of artificial neural networks is measured using the value of MSE (Mean Square Error) and the MAPE (Mean Absolute Percentage Error) value. From the results of the research, it was found that the network with 6 input neurons and 11 hidden layer neurons became the best network with MSE value of 0.000001 and MAPE value of 0,59%.
IMPLEMENTASI IOT DALAM PENGENDALIAN KEAMANAN GUDANG MENGGUNAKAN MIKROKONTROLER DI PT NETSOLUTION Frencis Matheos Sarimole; Heri Rizky Firdaus
CKI ON SPOT Vol 13, No 2 (2020): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

Keamanan sangat penting bagi semua orang. Gudang penyimpanan barang biasanya menjadi sasaran empuk para pencuri untuk melakukan aksinya. Oleh karena itu diperlukan sistem pengamanan gudang yang efektif agar penanggung jawab gudang dapat mengetahui informasi bahwa gudang tersebut disetujui telah dibobol, PT. Netsolution adalah perusahaan yang bergerak di bidang System Integrity, Consultation, Service Training dan Sertifikasi di bidang Jaringan Komputer, Netsolution memiliki gudang di Rawamangun yang digunakan untuk menyimpan barang dan proyek perkantoran, Sehubungan dengan masalah keamanan gudang dan untuk penggunaan barang, penulis setuju mengenai sistem keamanan berbasis iot yang dapat mendukung keamanan ruangan gudang dengan memberikan informasi diantaranya melalui sms dan memberikan notifikasi awal berupa alarm kepada penanggung jawab gudang terkait dengan kegiatan ilegal di gudang tersebut, metode pembangunan yang digunakan dalam Pembuatan aplikasi ini merupakan metode observasi dengan miniatur gudang sebagai metode pengujian, Dalam pembuatan sistem ini menggunakan Mikrokontroler Arduino Uno R3, Sensor Sidik Jari FPM10A, Doorlock Selenoid, Sensor PIR, GSM / GPRS SIM800L, LCDI2C, dan juga Buzzer. Dengan demikian permasalahan keamanan ruang gudang pada PT. Netsolution dapat dihindari.
PERANCANGAN VISI ARSITEKTUR TOGAF PADA INSTITUSI PENDIDIKAN TINGGI STUDI KASUS: UNIVERSITAS BUNG KARNO Sudirman Sudirman
CKI ON SPOT Vol 10, No 1 (2017): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

Nowadays, organizations must fulfill themselfes to develop series of Information Technology trough various of Information Systems, the purposes is to attend the continuity of business process and to face the competition. On the contrary, the complexity of existing information systems and the interface has created the complexity of Information Technology landscape/architecture. The purpose of this research is to find a gap in a way to anticipate the complexity described above, by taking a case study at University Of Bung Karno, Jakarta. TOGAF is an Information Technology/Information System (IS/IT) Architecture Framework that is used in this research. The output of research is steps of architecture vision that will be used as inputs for the next steps such as Business Architecture, Information System Architecture and Technology Architecture.Keywords: Information Technology/ Information System, TOGAF, Architecture Vision
PERANAN PENDIDIKAN SEBAGAI TRANSFORMASI BUDAYA Sopan Adrianto
CKI ON SPOT Vol 12, No 1 (2019): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

Education is a process of civilizing humans so education is very important for the transfer of culture. Education aims to build the totality of human capabilities, both as individuals and members of society. As a vital element in civilized human life, culture takes its constituent elements from all the sciences which are considered truly vital and are very necessary in interpreting everything in their lives. Humans who do not know culture are not the same as their own people. Therefore we mustpreserve and preserve culture by means of the educational process including cultural elements. So cultural elements should be included in the education process so that output from education is not only knowledge but is ready to live in society
PENERAPAN TEKNIK LOAD BALANCING UNTUK PERANCANGAN JARINGAN VLAN PADA UNIT PENGELOLA SISTEM PENGENDALIAN LALU LINTAS DKI JAKARTA Muhammad Gustriama; Sugiyono Sugiyono
CKI ON SPOT Vol 9, No 2 (2016): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

Technology is one of the important aspects of life in today's global era. One of the technologies that are now growing rapidly is information technology. In the world of information technology, computer networks is essential for human life, both in institutions, educational, corporate, and others. One of the factors in a company that is very important is the level of speed and stability of the network structure in the sending and receiving of data, this is due to the increasing amount of data usage and support the performance and productivity that will be generated. So it should be able to maximize and optimize the width of the data path and the rate of speed of delivery. This will certainly streamline the time and productivity of the company as well as the process becomes stable and smooth work. In the process of this network structure, they often unstable and slow network in the delivery and reception of data, it is in value is not effective in the use and distribution of bandwidth. Thus making more bandwidth lines irregular and risk weakening the structure of the existing network. In this study, will be built a new network structure by using a type of network VLAN (Virtual Local Area Network) using PPDIOO and solutions to problems are conducted using techniques ECMP load balancing method on UPSPLL Jakarta. Expected results of the analysis and design of new network in Jakarta UPSPLL can help optimize the performance and stability of bandwidth.Keywords: Network, VLAN, Load Balancing, PPDIOO, ECMP
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 

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