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JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)

jitter
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Published by Universitas Widyatama

ISSN : 26860333 EISSN : 24073911 DOI : https://doi.org/10.33197/jitter.vol4.iss3.2018.16

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Jurnal Ilmiah Teknologi Informasi Terapan (JITTER) adalah jurnal ilmiah yang diterbitkan oleh Universitas Widyatama, Bandung. Jurnal ini diterbitkan sebagai wahana sosialisasi dan diseminasi hasil penelitian bagi kalangan akademisi maupun masyarakat luas, pada bidang teknologi informasi dan terapannya. Bidang kajian dicakup meliputi sistem informasi, ilmu komputer, jaringan komputer, basis data, kecerdasan buatan, juga beberapa bidang teknik lainnya seperti Teknik Sipil, Teknik Mesin, Teknik Elektro dan Teknik Industri.

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 7 Documents

Search results for , issue "Vol. 5 No. 1 (2018)" : 7 Documents clear

IMPROVING THE UTILIZATION OF TELLERS USING SIMULATION AT XYZ BANK Nova Indah Saragih
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Simulation is one of the techniques of operationsresearch and management science that is most usedwidely. The goal of simulation is to estimate theperformance measures of the evaluated system usingcomputers. This paper provides the simulation oftellers to estimate and then improve its performancemeasure which is the utilization. The initial utilizationof XYZ Bank is 24.13% on average. Two scenario areconducted to improve the utilization. Scenario 1improves the utilization by 32.26% on average andscenario 2 improves the utilization by 47.84% onaverage. This paper suggests XYZ Bank to applyscenario 2 that can improve the utilization by 23.72%.

IMPLEMENTASI STEGANOGRAFI PADA CITRA DIGITAL DAN KRIPTOGRAFI ALGORITMA HILL CHIPPER UNTUK PENGAMANAN INFORMASI BERUPA TEXT Aldo Aldo; Lukman Hakim
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

The exchange of information is very easy by using the internet as a liaison from the party who sends information to the party receiving the information. It is also easier for unauthorized parties to obtain information that will be sent from the sending party to the recipient via the internet. So that information requires security features. Encoding is a security technique to change information in the form of text, digital images, audio, video into information that has no meaning or is random. If the party who has the information that has been encoded does not have the key to open the encryption then the information cannot be read because it does not have a specific meaning. Insertion is a security feature wherein an information will be entered into a container media or the information is hidden in the container media. At this writing will be focused on creating a system that can encode, decrypt passwords, insert an information into a container media and extract information from a media that can be a digital image with the format: jpeg, bitmap, and png which is useful for increasing the level of security from an information. Encryption algorithm is an algorithm that converts an information (plain text) into a randomized information ( ciphertext) uses the specified key from the sender and recipient. The encoding algorithm used is the Hill Cipher algorithm. Which will be combined with the Least Significant Bit method as a method in the information insertion process. LSB will change every last bit value of each pixel in the cover image according to the binary value of the message in sequence, so that the result of the stego image will not change significantly if seen by the human eye.

IMPLEMENTASI ALGORITMA APRIORI UNTUK PREDIKSI STOK PERALATAN TULIS PADA TOKO XYZ Andre Valerian; Lukman Hakim
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

For school children, offices, and students stationery is needed. Because stationery are needs to take notes important things. Although in the current digitalization era learning materials can be obtained online to minimize the use of stationery, it doesn't rule out the possibility that stationery are needed indeed for other activities. Therefore, stores that provide various types of stationery must be able to know the level of purchases on products ?products that are more often purchased by consumers so that the supply of stock products can be more focused on products that are more often purchased by consumers. At this writing, the author uses the Apriori algorithm that performs itemset frequencies to get association rules that meet the minimum support requirements and minimum confidence requirements with a number of itemset in the overall transaction to achieve the percentage of support and the percentage of confident value in determining items that are often sold in every transaction. By using the Apriori algorithm which has an accuracy rate of around 70%, it can predict the stock of product sales at the XYZ store. The purpose of applying the Apriori algorithm at this writing is to find out the level of purchases on products that are more often purchased by consumers based on existing transaction data to provide a more efficient stock of sales products.

PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGELOMPOKAN TINGKAT KESEJAHTERAAN KELUARGA UNTUK PROGRAM KARTU INDONESIA PINTAR Eric Fammaldo; Lukman Hakim
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Poverty in Indonesia occurs almost in various regions, one of them is the Jakarta region. Although Jakarta is a fairly large area and is one of the most developed regions, there are still some families that are still poor and unable to send their children to school, so the government issued the Kartu Indonesia Pintar program to help poor families. Although this program can really help poor families to send their children to school, sometimes there are some families that are classified as poor but do not even get the benefits of this program, but a family that can afford it get the benefits. The purpose of this paper discusses the application of data mining using the algorithm K-Means Clustering in grouping families classified as poor, simple and rich in terms of the amount of monthly income, average monthly expenditures and total assets owned, as well as the number of children who are classified according to elementary level , Junior high and high school to determine the amount of assistance that will be given based on the level. The resulting output will be in the form of a 3-table report in which each table contains data on families classified as poor, simple and rich, where this simple group can later be reviewed whether they are entitled or not to get the assistance of the Kartu Indonesia Pintar program. From the results of testing using 200 family data, the accuracy of the results of the application of K-Means Clustering was 69%.

IMPLEMENTASI ALGORITMA RIJNDAEL DALAM KEAMANAN DATA FORMAT MULTIMEDIA Andy Wijaya; Lukman Hakim
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Data multimedia seperti gambar, video dan suara adalah format data yang sering di gunakan di dunia informasi ini untuk memberikan informasi kepada individu lain atau kelompok dengan mudah karena dapat di akses menggunakan banyak perangkat dimana saja. Karena itu dibutuhkan pengamanan data yang aman sehingga keamanan yang data dapat dijaga dengan baik dan di tujukan pada individu atau kelompok yang tepat. Sangat berbahaya apabila data tersebut jatuh kepada orang yang salah dan tidak bertanggung jawab. Kejahatan dalam dunia teknologi memungkinkan peretas untuk mendapatkan informasi berbasis multimedia dari perangkat teknolgi seperti telefon genggam, penyimpanan daring, email, dll. Kemudahan dalam membaca informasi berbentuk multimedia merupakan salah satu kelemahan dari informasi berformat multimedia, karena itu diperlukan proses enkripsi dalam upaya mengamankan pengiriman dan penyimpanan data berformat multimedia didalam perangkat penyimpanan anda maupun saat berbagi informasi tersebut melalui pesan elektronik. Salah satu metode enkripsi yang dapat di terapkan adalah algoritma rijndael dimana algoritma ini dapat memberikan kata sandi untuk informasi yang inginkan sehingga penyimpanan dan pembagian informasi berbasis multimedia dapat dilakukan dengan aman dan tepat menuju individu atau kelompok yang dituju. Saat informasi berbasis multimedia yang telah di enkripsi diterima oleh seseorang maka individu tersebut harus melakukan proses dekripsi terhadap informasi tersebut dengan cara memasukan kata sandi yang telah dibuat oleh pengirim, bila individu tersebut tidak mengetahui kata sandi tersebut, maka informasi tersebut tidak akan dapat diakses oleh individu tersebut

ANALISA PERBANDINGAN ALGORITME NAIVE BAYES DAN DECISION TREE PADA KLASIFIKASI DATA TRANSFUSI DARAH Rini Indrayani
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Donor darah merupakan proses pengambilan darah dari pendonor yang telah dinyatakan layak, ditinjau dari berbagai faktor. Penyakit yang diderita, usia, berat badan, tekanan darah, kadar hemoglobin, dan interval waktu donor merupakan aspek-aspek yang menjadi pertimbangan saat uji kelayakan. Karena pentingnya uji kelayakan tersebut, berbagai penelitian terkait uji kelayakan pendonor dilakukan menggunakan klasifikasi data mining dengan berbagai metode. Tantangan dari berbagai penelitian yang dilakukan adalah menemukan metode paling tepat dengan nilai akurasi dan presisi yang tinggi. Penelitian ini menggunakan 748 data set donor darah yang diproses menggunakan metode klasifikasi Na

PENGARUH TACIT DAN EXPLICIT KNOWLEDGE UNTUK MENINGKATKAN KINERJA IKM Ayu Endah Wahyuni
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Small and medium industries (IKM) in Indonesia have not been able to compete and maintain competitive advantage over foreign products. Utilization of tacit knowledge and explicit knowledge is not maximized, even though these factors are a source of competitive advantage and the ability of the industry to innovate. Meanwhile, the growth of SMI production has not reached the expected target because the performance of SMIs is still low, thus affecting its productivity. The root of the problem of this research lies in the optimization of tacit knowledge and explicit knowledge not yet maximized on improving organizational performance in SMIs. This study aims to test and develop a model by integrating factors related to tacit knowledge and explicit knowledge in improving organizational performance. The method of collecting data through questionnaires with IKM city of Bandung as research respondents. Data processing uses partial least square path modeling (PLS-PM) method.

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OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Raden Herdian Bayu Ash Siddiq

Contact Email
jitter@widyatama.ac.id

Phone
+62227275855

Journal Mail Official
jitter@widyatama.ac.id

Editorial Address
Jl. Cikutra no 204 A Bandung

Location
Kota bandung,

Jawa barat

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Raden Herdian Bayu Ash Siddiq

Contact Email jitter@widyatama.ac.id

Phone +62227275855

Journal Mail Official jitter@widyatama.ac.id

Editorial Address Jl. Cikutra no 204 A Bandung

Location Kota bandung, Jawa barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Raden Herdian Bayu Ash Siddiq

Contact Email
jitter@widyatama.ac.id

Phone
+62227275855

Journal Mail Official
jitter@widyatama.ac.id

Editorial Address
Jl. Cikutra no 204 A Bandung

Location
Kota bandung,

Jawa barat

INDONESIA