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J-SAKTI (Jurnal Sains Komputer dan Informatika)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : 25489771     EISSN : 25497200     DOI : http://dx.doi.org/10.30645/j-sakti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy
J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun tidak terbatas pada topik berikut) : Artificial Intelegence, Digital Signal Processing, Human Computer Interaction, IT Governance, Networking Technology, Optical Communication Technology, New Media Technology, Information Search Engine, Multimedia, Computer Vision, Information System, Business Intelligence, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems, Software Engineering, Programming Methodology and Paradigm, Data Engineering, Information Management, Knowledge Based Management System, Game Technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 499 Documents
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Analisis Forensik Aplikasi Dropbox pada Android menggunakan Metode NIJ pada Kasus Penyembunyian Berkas Saad, Saleh Khalifah; Umar, Rusydi; Fadlil, Abdul
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.221

Abstract

Smartphones are a testament to the development of digital technology. At this time, the smartphone is also experiencing growth in storage media, one of which is the Cloud storage media. One cloud storage application is the Dropbox Application. The development of cloud storage media does not rule out the possibility of a negative impact on the use or can be used as a medium for crime, such as storing evidence of criminal transactions and cybercrime. This study uses conversation scenarios for application conditions, including data deletion in applications. Data for each experiment will be taken using the National Institute of Justice (NIJ) Method. The method used in dealing with crime with smartphone media evidence is the National Institute of Justice (NIJ) Method. The conclusion of this study is that the use of the National Institute of Justice (NIJ) method ranks the digital forensic stages, starting with identification, collection, examination, analysis, and reporting very well. This method is widely used in handling digital crime cases. The results of the acquisition will then be analyzed by translating the hex codes resulting from the acquisition to produce evidence that can be understood by the judge later.
Analisi Data Transaksi Penjualan Menggunakan Algoritma Apriori Untuk Menentukan Paket Promosi Refarasi Mobil R, Aria Renalda; Irawan, Agung Susilo Yuda; Suharso, Aries
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.388

Abstract

Rizal Motor Workshop is a business in the field of services and sales of auto parts. More and more workshops are growing rapidly at this time, making Rizal Motor Workshop making a better marketing strategy than other workshops. With a promotional package it will attract the attention of consumers who were previously not interested in shopping to become very interested because of the available promotional packages. To determine the promotional package at the Rizal Motor Workshop to be more efficient and on target, the author uses one way to look at the items most frequently purchased by consumers. The purpose of this study is to analyze sales transaction data to be used as a promotional package based on the buying patterns of consumers. The method used in this study uses the Knowledge Discovery in Database (KDD) method which consists of stages of data selection, data cleaning, data transformation, data mining, and evaluation. The algorithm in this study uses the Apriori Algorithm which looks at the itemset formed, in this study using 4 itemsets with a minimum support of 60% and a minimum confidence of 90%. For the results obtained are associations between products or connectedness of goods, in this study the confidence value obtained was 98.182% which is the best confidence value contained in the 3 itemse.
Analisis Sebaran Titik Rawan Bencana dengan K-Means Clustering dalam Penanganan Bencana Hermanto, Teguh Iman; Muhyidin, Yusuf
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.332

Abstract

Puwakata Regency has fertile land, agricultural products and abundant natural resources. However, the area is also vulnerable to disaster risk. Based on the data collected, the disasters that occurred in Puwakata Regency included several categories, namely landslides, droughts, hurricanes and floods. The trend of increasing numbers of disasters requires further investigation to prevent an increase in the number of victims. Given the large amount of data available, this information can be obtained through data mining analysis methods. For natural disaster data, the clustering method in data mining is very useful for grouping disaster data based on the same characteristics, so that it can be used as a basis for classifying future disaster events. The k-means algorithm is a model used to form clusters by measuring how close it is to the data set. Therefore, in terms of the location of the disaster, the type of disaster and its impact on the disaster, it is hoped that this research can use the clustering technique with the k-means algorithm to classify disaster-prone points. The results obtained 3 clusters, namely, the type of drought disaster is cluster 0, the type of landslide is cluster 1, and the type of landslide is cluster 2. After forming three clusters, disaster management strategies are drawn up at each disaster-prone point in the Purwakarta area
Teknik Keamanan Data Menggunakan Vigenere Cipher Dan Electronic Code Book (ECB) Widarma, Adi; Siregar, Helmi Fauzi; Irawan, M Dedi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i2.157

Abstract

Data is important information both personal, group and company. Because of the importance of the data, many parties have kept the data very confidential so that it is not publicly recognized. But it cannot be denied that data can be stolen by unauthorized people. Request the data to be unsafe. A technique is needed to move data, namely by using cryptography. One of the existing cryptography techniques is classical cryptography such as vigenere cipher. However, this classic has a low level of security so it needs to be upgraded again. Then a combination of cryptography algorithms using modern cryptography, Electronic Code Book (ECB) is carried out. Using a combination of these two algorithms will improve data security.
Perancangan Sistem Informasi Helpdesk Menggunakan Website Design Methode Dalam Mendukung Tata Kelola Teknologi Informasi Pamnungkas, R Wisnu Prio; Alexander, Allan D; Reza, Ali
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i2.141

Abstract

Information Technology is important in increasing efficiency and efficiency in achieving company goals. Is a regionally owned company that in carrying out the functions and duties of clean water services for customer needs is never separated from the company's services to customers. Thus the helpdesk application is designed as a Single Point of Contact to focus on customer service issues. The purpose of this research is to analyze and manage the helpdesk application with a display design using the website design method. Built with PHP and MySql database, the application aims at implementing ITIL, which is useful for managing and assisting any problems (reporting) and service requests (requirements) to be sent to the unit that manages the handling schedule based on priority weights.
Penerapan Teknologi Augmented Reality Katalog Perumahan Sebagai Media Pemasaran Pada PT. San Esha Arthamas Fernando, Yusra; Ahmad, Imam; Azmi, Arief; Borman, Rohmat Indra
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.298

Abstract

PT. San Esha Arthamas is a company engaged in the sale of housing. In marketing its products other than social media, the company uses a housing catalog in the form of a book. However, with this method, people feel confused and less interested in knowing and looking at the products offered. To assist in marketing, the product to be attractive, the housing catalog augmented reality (AR) technology was developed as a marketing medium. AR is a technology that can combine real and virtual objects in 3D in realtime. This research produces an application that can display the types of houses and can perform marker scans by pointing the smartphone camera at the catologist book from various angles including: top, left and right side and back. In addition, users can see interior, exterior, can zoom in, zoom out and rotate. Based on the questionnaire, it shows that the application has an impact in helping marketing with the results that 93% of respondents said they "agree". Overall, based on beta testing, it shows an average value of 88%, when converted the application is included in the "Good" category.
Penerapan Algoritma C4.5 Untuk Penerimaan Siswa Baru Pada SMA Al-Azhar Medan Hts, Dedek Indra Gunawan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v2i2.76

Abstract

Schools with good reputation are very concerned about the admission selection process. Al-Azhar Medan High School is very concerned about this admission process. Every year many parents register their children to enter Al-Azhar High School Medan. Besides having good school facilities the teachers also have good competencies. The number of students who register makes the selection process take a long time. The C4.5 algorithm is one algorithm that changes the fact that is quite large into a decision tree. This algorithm is expected to be able to solve problems that occur in Al-Azhar High School Medan.
Penentuan Penilaian Kredit Menggunakan Metode Naive Bayes Berbasis Particle Swarm Optimization Rinawati, Rinawati
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i1.28

Abstract

Bad credit is one of the credit risk faced by the financial and banking industry. Bad credit can be avoided by means of an accurate credit analysis of the debtor. The accuracy of credit ratings is crucial to the profitability of financial institutions. Improved accuracy of credit ratings can be done by doing the selection of attributes, because the selection of attributes reduce the dimensionality of the data so that operation of the data mining algorithms can be run more effectively and more cepat.Banyak research has been conducted to determine credit ratings. One of the methods most widely used method of Naive Bayes. In this study will be used method Naive Bayes and will do the selection of attributes by using particle swarm optimization to determine credit ratings. After testing the results obtained are Naive Bayes produce accuracy value of 72.40% and AUC value of 0.765. Then be optimized by using particle swarm optimization results show values higher accuracy is equal to 75.90% and AUC value of 0.773. So as to achieve the increased accuracy of 3.5%, and increased the AUC of 0.008. By looking at the accuracy and AUC values, the Naive Bayes algorithm based on particle swarm optimization into the classification category enough.
Perancangan Aplikasi untuk Evaluasi Implementasi Arsitektur Enterprise Noviansyah, Beri; Fauzi, Cholid
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.253

Abstract

The evaluation process of an enterprise architecture implementation is very important. This process will assess whether the company that has been implemented is still in accordance with organizational goals or not. The hybrid evaluation method is a method used as the basis for developing evaluation applications because this method can assess all artifacts of the enterprise architecture. The methodology used in this study refers to the Design Science Research Methodology (DSRM) method with a system development model following the flow of a waterfall. System modeling tools using UML. The results of the research are in the form of an initial design of the application that will be made which includes use case diagrams, class diagrams, and interface design. The results of this design can be used by both academics and academics, who will evaluate the implementation of enterprise architecture.
Sistem Informasi Promosi Tempat Wisata Di Kota Sorong Berbasis Website (Kasus: Kawasan Wisata Mangrove Klawalu) Manuhutu, Melda Agnes; Otniel, O
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.323

Abstract

The Klawalu Mangrove Tourism Area is a mangrove forest tourist spot managed by the Sorong City Tourism Office, located in Klawalu Village, Sorong City. The research aims to build an attractive website to facilitate the Sorong City Tourism Office in promoting the Klawalu Mangrove Tourism Area. Thus the public can more easily access information, which can directly increase public interest from inside and outside the City of Sorong. The more tourists who visit, it will increase economic growth in the City of Sorong Region. By increasing the productivity of the tourism sector, it is hoped that it will be able to provide fast economic growth in terms of employment opportunities, income, living standards and in activating the production sector. The system development method is the prototype method. The programming language used is PHP with a database built using MySQL. The modeling language used is the Unified Modeling Language (UML). With the advantages of a more responsive template, there is google maps, and provides information about facilities and entrance fees for tourist attractions.

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