cover
Contact Name
Jay Idoan Sihotang
Contact Email
jay.sihotang@unai.edu
Phone
+62222700161
Journal Mail Official
jurnal.teika@unai.edu
Editorial Address
Universitas Advent Indonesia, Jalan Kolonel Masturi 288, Kec. Parongpong, Kab. Bandung Barat
Location
Kab. bandung barat,
Jawa barat
INDONESIA
Teika
ISSN : 19796439     EISSN : 23385979     DOI : https://doi.org/10.36342/teika
TeIKa (Teknologi Informasi dan Komunikasi) Journal invites scholars, researchers, and students to contribute the result of their studies and researches in the areas related to Information and Communication Technology work which covers Information System, Computer Networks, Computer Security, Database, Programming, Artificial Inteligence, Datamining, Multimedia Technology. It also seeks to provide a forum for an open exchange of ideas, based on research and serious professional reflection on both the theoretical underpinning of practice and practical applications of theory. TeIKa welcomes contributions from all Information Technology Lectures nationwide as well as fresh voices with something new to contribute to the community. Scope - Information System - Computer Networks - Computer Security - Database - Programming - Artificial Inteligence - Operating System - Multimedia - Data Mining
Articles 200 Documents
Perancangan Pemantauan Fluktuasi Valuta Asing Mengunakan Aplikasi Android Yang Dibantu Oleh Agent Autonomus Berbasis Framework Jade Binsar John Tambunan; Hendri Pandia; Albinur Limbong
TeIKa Vol 6 No 1 (2016): TeIKa : Desember 2016
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v6i1.269

Abstract

Alasan penulis untuk melakukan penelitian ini dikarenakan Pada abad 21 ini teknologi informasi dan komunikasi berkembang dengan pesat, dan mempunyai banyak dampak dalam aspek kehidupan. Salah satunya berdampak bagi pelaku foreign exchange (forex).Para pelaku foreign (trader) sebenarnya dapat lebih mudah dalam memantau fluktuasi dengan memanfaatkan teknologi yang canggih pada saat ini, tanpa harus membuang waktu untuk selalu memantau melalui Website. Sayangnya, belum ada trader yang mempunyai ide untuk membuat aplikasi ini pada mobile phone android. Oleh karena itu penulis mempunyai ide untuk merancang aplikasi yang melakukan pemantauan dengan memanfaatkan aplikasi android dan autonomous agent berbasis JADE (JAVA Agent Development Environtment). Pada penelitian ini, penulis menawarkan kemudahan kepada trader. Karena nantinya Trader hanya akan menginputkan rule pemantauan yang berisi kode valuta, jenis transaksi, kondisi dan nilai yang diinginkan. Saat rule pemantauan terpenuhi maka trader akan mendapatkan notifikasi pada Smartphone Android yang digunakan, Pemanfaatan aplikasi tersebut dapat memberikan waktu luang para trader untuk mengerjakan pekerjaan yang seharusnya dikerjakan tanpa membuang waktu untuk melakukan pemantauan fluktuasi valuta asing secara langsung, tanpa takut kehilangan informasi.Keywords : Valuta asing, Android, Autonomus Agent, Framework JADE
Perancangan Teknologi Private Cloud Computing Sebagai Sarana Infrastruktur Online System Di Universitas Advent Indonesia Garry Bersnov Nicodemus Ujudeda
TeIKa Vol 6 No 1 (2016): TeIKa : Desember 2016
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v6i1.270

Abstract

Pada saat ini pengguna produk Teknologi Informasi sangat banyak. Pengguna dan penyedia produk membutuhkan sistem yang tepat untuk menyimpan dam mengolah data menjadi informasi dengan maksimal. Para peneliti berusaha mengembangkan suatu sarana atau infrastruktur yang disebut cloud computing dengan mengabungkan beberapa resources yang ada menjadi suatu layanan yang dapat membantu meningkatkan availability dan reliability dari suatu sistem. Universitas Advent Indonesia merupakan salah satu organisasi pendidikan yang menggunakan teknologi informasi untuk menunjang kegiatan akademik dengan menggunakan server konvensional. Untuk meningkatkan availability dan reliability dari sistem yang ada di UNAI penulis ingin merancang teknologi private cloud computing. Hasil penelitian menyimpulkan bahwa dengan menggunakan teknologi private cloud dapat meningkatkan availability dan reliability dari layanan sistem yang ada.Kata kunci: Private cloud computing, availability, reliability
Modifikasi Metode Gauss atau Operasi Baris Elementer pada Solusi Sistim Persamaan Linier 3 Variabel dan 3 Persamaan Edwin Julius Solaiman
TeIKa Vol 6 No 1 (2016): TeIKa : Desember 2016
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v6i1.271

Abstract

AbstrakGauss menguraikan tiga teori untuk menyelesaikan persamaan linier. Dimana teori tersebut diturunkan dari metode eleminasi penjumlahan, pengurangan dan subsitusi. Kendala yang ditemukan dikelas adalah mahasiswa lambat memahaminya, sehingga diperlukan modifikasi metode Gauss yang dapat menerangkan dan menjembatani peralihan dari metode eliminasi ke metode Gauss.Peralihan yang dapat dilakukan adalah dengan menggabungkan dua teori Gauss/Operasi Baris Elementer yaitu dengan menggabungkan mengalikan sebuah baris dengan bilangan k ≠ 0 dari matrik A yang disebut Operasi Tipe II dan dengan menambahkan sebuah baris i dengan mengalikan k ≠ 0 pada baris yang lain dimana i ≠ j dari matrik A disebut Operasi tipe III menjadi satu yaitu dengan menambahkan k1 ≠ 0 kali baris ke i dengan k2 ≠ 0 kali baris ke j dimana i ≠ j dari matrik A yang disebut sebagai Modifikasi Operasi Tipe III.Modification of Gauss Method or the Elementary Row Operations System Solutions of Linear Equations of 3 Variables and 3 EquationsAbstractGauss outlines three theories to solve linear equations. The theory derived from the Elimination Method such that addition, reduction and aubstitution. Problems were found in class is a slow student to understand it, so that the necessary modifications Gauss method that can explain and bridge the transition from Elimination Method to Gaussian Method.Transition to do is to combine the two rule of Gaussian Method / Elemantary Row Operations by the incorporation multiplying a row with number k ≠ 0 of matix A so-called Operation Type II and by adding a row i by multiplying k ≠ 0 on the other row where i ≠ j of matrix A is called Operation Type III into one by adding k1 ≠ 0 times row i with k2 ≠ 0 times row j where i ≠ j of matrix A is referred to as Modification Operation Type III.
Persepsi Mahasiswa terhadap Sistem Manajemen Pembelajaran Online di Universitas Advent Indonesia Albinur Limbong
TeIKa Vol 12 No 01 (2022): TeIKa: April 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i01.2803

Abstract

This paper is a study of students’ perception onto UNAI online system. The data for students’ perception is obtained from questioners filled through online by students. The objective of the study is to see how well UNAI online system perceived by students. The study was conducted during the odd semester 2021/2022. The population was 1636 students, and samples taken randomly was 105 students. The questioner consists of 6 parameters of perception: benefit of online system, usage simplicity, friend support, facility completeness, usage interest, dan usage frequency. The study shows that based on individual regression analysis, the benefit, simplicity, friend support, facility completeness significantly have a significant effect on interest to use the online system, and the interest to use the online system has an effect on usage frequency. However, on simultaneously regression analysis among the four parameters, only two parameters (the perception of benefits and facility completeness) have a significant effect on students’ interest using the online system. Based on cross tabulation analysis, faculty of education students have better perception on UNAI online system compared to other faculty students, senior students have better perception compared to other batches, and female students have better perception than male students. The findings of the study imply that the facility of online system, in terms of network, bandwidth, computer facility, and learning resources need to be accomplished in order to improve the students’ academic achievement during the online learning era due to covid-19 pandemic.
PERBANDINGAN SIMULASI REKAYASA TRAFFIC QUALITY OF SERVICE (QOS) PADA SOFTWARE DEFINED NETWORK DENGAN MENCARI JALUR TERPENDEK MENGGUNAKAN ALGORITMA YEN DAN FLOYD-WARSHALL Henokh F Supusepa
TeIKa Vol 12 No 01 (2022): TeIKa: April 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i01.2819

Abstract

Internet services and technology are rapidly expanding in terms of complexity, design, management, and operation leading to an increase in the number of connected devices, and the traffic on the network has increased very rapidly in recent years. Also, emerging new service developments and the use of high mobility and server virtualization, cloud computing, and the Internet of Things are being developed resulting in a network architecture that is currently very limited in capabilities. Software Defined Network technology is a new concept in designing, managing, and implementing network architecture by separating the control system from the forward system on network equipment. Software Defined Network allows the network to dynamically adjust the environment to simplify management and increase network scalability through the simple implementation of additional network components and services. Therefore, higher requirements are put forward to improve network performance and eventually network control becomes increasingly complex, inconsistent, and inflexible. Network performance can be affected by many factors, such as network configuration, number of requests, and network management methods
ANALISA MANAJEMEN RISIKO SISTEM INFORMASI MANAJEMEN RUMAH SAKIT (SIMRS) PADA RUMAH SAKIT XYZ MENGGUNAKAN ISO 31000 Louis Eberhard Hutagalung
TeIKa Vol 12 No 01 (2022): TeIKa: April 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i01.2820

Abstract

Hospital is a health institution which is a health service center where sick people can be accommodated and treated properly. XYZ Hospital is part of the AHSA health service network, which in 1986 used the CLIPPER application for data storage. This study aims to carry out risk management of the Hospital Management Information System (SIMRS) at the XYZ Hospital. By conducting interviews and distributing questionnaires to Mirsa's department as IT manager at the hospital. In carrying out risk management, ISO 31000 is applied and adapted for all types of organizations by providing a structure and guidelines that apply generically to all operations related to risk management. The results of this study indicate that there are 2 high level risk levels, which are dangerous risks that must be dealt with as soon as possible, and 13 medium level risks which are risks that must be considered continuously, so that each risk must be treated with risk which is expected to be a reference in handling and maintenance of Information Systems in the future.
ANALISA KEAMANAN SISTEM INFORMASI MENGGUNAKAN FRAMEWORK COBIT 5 DENGAN DOMAIN DSS05 DAN APO13 DI PT XYZ Yeremia Tomi Sepis
TeIKa Vol 12 No 01 (2022): TeIKa: April 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i01.2821

Abstract

The PT XYZ is one of the educational institutions that often uses information technology to support operational activities to be more effective and efficient. This study aims to determine how the security of information systems at the PT XYZ has a security level that is at a certain level of measurement standards is to use the Cobit 5 framework DSS05 and APO13 domains. Respondents to get the data security system is the head of the IT department at PT XYZ. Process To get the results of the interviews that have been conducted, researchers use the formulas that are already in the COBIT 5 book. The results obtained from the DSS05 Domain indicate that the security of the system at PT XYZ is at level 2 which means that the security of the system has been running based on planning, monitoring, and adjustments but in the APO13 Domain shows that the security of the system has not been implemented or has not been implemented because of the level obtained at level 0. Therefore it is necessary to improve the existing security system at PT XYZ according to the COBIT 5 Framework standard.
Analisa dan Perancangan Aplikasi Data Mining Untuk Prediksi Stok Obat pada Klinik XYZ Lionard Kinsy
TeIKa Vol 12 No 01 (2022): TeIKa: April 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i01.2822

Abstract

Forecasting is an important tool for making management planning and decision making. In this study, forecasting will help Klinik XYZ in making stock inventory decisions so that there won’t be any shortage or excess inventory. By utilizing data mining, the authors aim is to implement artificial neural network to predict drug stock inventories and also design an application that is able to apply forecasting using artificial neural network methods to predict drug stocks. Using an artificial neural network model with configurations of 5 neurons in the input layer, 3 hidden layers with 4, 3, and 4 neurons respectively, and 1 neuron in the output layer with a ReLU as its activation function and learning rate of 0.001, this application is able to presents forecasting results for the desired period accompanied by forecast error values ​​in the form of Mean Absolute Percentage Error. From the 4 types of products tested with a total sample of 24 periods from January 2017 to December 2018, artificial neural network models provide predictive results for September 2018 - December 2018 are: (1) for Amobiotic products are 593, 693, 584, and 632, (2) Loremid products are 97, 222, 161 and 137, (3) Meproson products are 599, 614, 398 and 401, (4) and Nikolam products are 215, 256, 290, and 338.
ANALISA WEBSITE MOODLE PT XYZ DENGAN MENGGUNAKAN METODE WEBQUAL 4.0 Emeraldi Destian Rasman
TeIKa Vol 12 No 01 (2022): TeIKa: April 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i01.2823

Abstract

Quality is the features or products that meet customer needs and can meet customer satisfaction. Website is something that must be considered by the institution in this case the educational institution, because it is used by users who are in the institution. To find out the quality of the website it is necessary to measure the quality of the academic website owned by the PT XYZ. The instrument used in this study is Webqual 4.0 (Barnes & Vidgen, 2001) which consists of 4 variables, namely Usability, Information Quality, Service Interaction, User Satisfaction, and has 14 indicators. The analysis technique used is Multiple Linear Regression which will provide an overview of the relationship between website quality and user satisfaction. This research was conducted by distributing questionnaires to 68 students of the PT XYZ. The validity, reliability, and data analysis tests were performed using the SPSS 16 application. The results of the analysis in the partial test showed that the quality of usability and service interaction had an influence on user satisfaction (User Satisfaction). While the quality of information (Information Quality) does not have an influence on user satisfaction (User Satisfaction) because the test results show a negative effect and do not meet the requirements of significance test and t test. In the F test results, it shows that Usability, Information Quality and Service Interaction together have a significant effect on user satisfaction (User Satisfaction). And the results of testing all independent variables Usability, Information Quality, and Service Interaction show the level of user satisfaction or User Satisfaction of 41.9%. Where all independent variables affect user satisfaction by 41.9%.
DATA MINING MODEL KLASIFIKASI MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR DENGAN NORMALISASI UNTUK PREDIKSI PENYAKIT DIABETES Muhammad Sholeh; Dina Andayati; Rr. Yuliana Rachmawati
TeIKa Vol 12 No 02 (2022): TeIKa: Oktober 2022
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v12i02.2911

Abstract

The model built using the data mining process can be used to make predictions from the data. The model can be built using a datasheet that contains data that is processed from the process. One implementation of the model in data mining is the prediction of a disease such as diabetes. In this study, a data mining model was developed using the k-NN algorithm and data normalization was carried out. The normalization method used is Z-Score and Min-Max. The research methodology is carried out by first determining the datasheet, selecting the data mining model and dividing the datasheet into datasheets into training data and data testing and evaluating the performance of the model created. The process of modeling using python programming. The data mining process uses a classification model using the k-NN algorithm. The datasheet used is a public datasheet, namely the diabetes datasheet which consists of 768 records and 8 attributes. The results of this modeling show that the normalization process can provide better accuracy values. The model developed without normalization produces a value of k=5 with an accuracy of 70%, normalization with the Z-Score method produces a value of k=21 with an accuracy of 72%, normalization with Min Max produces a value of k=3 with an accuracy of 74%. The recommended model is k-NN mode with a value of k=3.