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Teguh Susyanto
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tikomsin@sinus.ac.id
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INDONESIA
Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara)
Published by STMIK Sinar Nusantara Surakarta
ISSN : -     EISSN : 26207532     DOI : http://dx.doi.org/10.30646/tikomsin
Core Subject : Science,
Computer Science & IT
Jurnal Tikomsin merupakan terbitan berkala hasil penelitian dalam bidang ilmu komputer mencakup disiplin ilmu teknologi informasi meliputi Sistem Pendukung Keputusan, Kecerdasan buatan, Data mining, Jaringan Komputer etc. Majalah ini diterbitkan secara periodik dua kali dalam setahun yaitu bulan April dan Oktober dan masing-masing terbitan sebanyak 9 artikel per issue.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 235 Documents
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Analisis Regresi Loyalitas Pengguna E-Commerce Bukalapak Dengan Variabel Technology Acceptance Model Gusta Irfan Windana; Sri Hariyati Fitriasih; Tri Irawati
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 1 (2022): Jurnal TiKomSiN, Vol. 10, No. 1, April 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i1.597

Abstract

Online shopping is the activity of purchasing goods and services through the internet. Through online shopping, customers can preview the goods and services they want to buy on the web promoted by the seller. E-commerce and online shopping activities are becoming very popular among internet users. Customers who shop online can be classified into different purchase orientations. The purchasing orientation can influence both user loyalty Behaviour and intentions in shopping online on Bukalapak as e-commerce. Based on the results of a survey by the Indonesia Internet Service Providers Association (APJII) regarding the profile of Indonesian internet users in 2018, 34.60 per cent of the reasons for not shopping online are afraid of fraud and 21.5 per cent of them stated that they cannot directly buy the goods. The explanation above indicates that user loyalty is still quite low in online shopping. Through the Perceived Usefulness towards the loyalty Behaviour of Bukalapak users, the result of the research proves the first to fourth hypotheses that all Technology Acceptance Model (TAM) variables have a positive and significant effect on the loyalty Behaviour of Bukalapak users and through the TAM test, it is concluded that all variables used in conducting an information system analysis, most respondents answered strongly agree with the percentage of 40% and agree with the percentage of 46.50%..
Application of K-Means Clustering to Monitoring the level of Fertilizer Usage in Rice Fields in Ngawi Regency Iwan Ady Prabowo; Hendro Wijayanto; Sujud Aji Wantoro
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 1 (2022): Jurnal TiKomSiN, Vol. 10, No. 1, April 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i1.600

Abstract

Fertilizer is a substance given to plants that could be food for plants. Fertilizer  itself divided into two types, that  is  inorganic  fertilizers  and  organic  fertilizer.  Fertilizer  is  very important  to  the  needs  of farmers,  especially  farmers.  Therefore  fertilizer  needs should be able  to in monitoring  in  order  not to occur lack. The purpose of this study is a grouping of the use of fertilizer in every town in the districts of Ngawi with k-Means algorithm. The formulation of the problem to overcome is how to apply the method of k-means  algorithm  to  categorize  fertilizer  needs  in  every  town  in  the  Ngawi.  K-means  is  clustering algorithm where one object can be in group based on data similarities. Clustering results K-means Clustering is seen in the first group high (Cluster 1) contains 6, In the second group medium (Cluster 2) contains 2 sub-districts, while in the third group low (cluster 3rd) contains 11 sub-districts.
Kombinasi Penjualan Kain Batik Menggunakan Metode Apriori Yustina Retno Wahyu Utami; Hendro Wijayanto; Richi Adi Prasetyo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.649

Abstract

The existence of operational activities selling batik cloth every day will increase more and more, If left alone, the transaction data will only become meaningless garbage. is an individual company that manufactures and sells batik with various types of batik. The types of batik include Batik Insights, Color Insights, Cash Written Batik, Fine Written Batik, Fine Granite Written Batik, Night Print Batik, Stamped Batik, Combined Batik, Dagel Batik. In processing sales data, it is still done manually, which only uses records and receipts, so the data only functions as an archive. The data used in this study are sales transaction data for 2 years with a total of 215 transactions. The purpose of this study is to implement apriori algorithm system for the combination of batik fabric sales on Dewi Ratih batik so that it can help to find out the types of batik that are most often purchased. The results of this study are to determine which combination of batik fabric sales are most often bought simultaneously by determining a minimum support of 30% and a minimum confidence of 70% with a comparison of Weka and PHP MysQL applications with an accuracy rate of 100%
Implementasi Metode Location Based Services Pada Sistem Presensi Pegawai Abdullah Ahmad Ma'shum; Dwi Remawati; Bramastyo Wiryawan Yudhanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.651

Abstract

The attendance system is a digital attendance record, this is needed to evaluate employee attendance data. During the corona virus pandemic, the employee attendance system having some problems related to physical distancing policies, it needs problem solving to solve the problem, it is namely by maximizing the attendance coordinates of each employee, which use Location Based Services (LBS) technology method and haversine formula that functions to calculate the distance of the attendance coordinates with the employee's position. Creating the system using Software Development Life Cycle (SDLC), Waterfall, Node.js, Express.js, Flutter and MySQL as well as a VPS server. The final result of the employee attendance system can run on two platforms, the frontend version on android mobile devices and the backend version on the website. The test results on the employee attendance system received a "reasonable" predicate with an achievement range of 70-74 %. The conclusion of this research is creating the creation of an employee attendance system use location coordinates which is answered the problems on this research. 
Implementasi Dan Pengujian Struktur Data Berbasis Acuan Untuk Program Aplikasi Mengungkap Kepribadian Berdasarkan Tanggal Lahir Dan Nama SM Santi Winarsih; Agus Winarno Wahono
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.631

Abstract

ABSTRACTThe depth of IF (IF_Then_Else) structure of an algorithm influence the execution speed of program. One of the way to speed up the execution of program is reducing the depth of the existing IF structure or reduce the number of selections (IF) in an algorithm process. The idea based on this research is to reduce the IF structure (IF Then Else) smaller then IF structure, through a concept of transforming the IF structure (IF_Then_Else) into a reference structure. This method is doing by mapping the criteria in the selection into a reference index. The process of transforming the IF structure into a reference structure becomes the concept of designing a data structure into the topic of this research. This research is continuinng from the previous research which is the purpose of this research is implementing and testing the reference based on the data structure for the application program to express personality based on date of birth and name . The concept hopefully be able to carry out the program fastly. The steps of this research are starting with the literature study step to find out the references then collecting the data, identifying and classifying the data and arranging into correct pattern, then decide the steps to access the data and finally continuing the implementation and testing of the system. The reference data structure, the selection process (IF THEN ELSE) can be eliminated, because the process of fulfilling the selection criteria can be replaced with a reference. Beside of the implementation process and system testing, the output of this research will plan to articles in scientific journals and registered with HKI.
Sistem Pendukung Keputusan Pemilihan Supplier Menggunakan Metode Simple Additive Weighting Di Toko Listrik Agus Dwi Janarko; Tri Irawati; Sri Hariyati Fitriasih
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.642

Abstract

Madiun electricity shop is trading company which provides electricity goods. The purpose of this study is to develop a supplier selection decision support system application which is help the administrative officer to make decision based on the highest level. The simple additive weighting method applied to know each weight based on criteria and proceed with ranking which will select alternatives. The results of the research create a support system application which is select the best supplier based on the highest level. It is according to the calculations using the Simple Addtive Weighting method. The results show that the highest supplier level is on "Supplier1" with a value of "4.167". The testing method uses blackbox and validity. The result of that testing shows that there is accept on all system test scenarios. The testing validity shows that there is any comparison between old system and new system. The result of that validity testing is any comparison of the level of similarity of the selected supplier of 20% and the difference of the selected supplier of 80%, this shows significant difference between the old system and the new system. 
Implementasi KRACK dan KRACK Detector terhadap Wpa_Supplicant pada Perangkat Android dan Linux Ubuntu Dozy Arti Insani; Nanang Trianto; Dimas Febriyan Priambodo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.639

Abstract

Nowadays WiFi services is available in many public places to accesses the information. Most of WiFi services use the Wifi Protected Access 2 (WPA2) security. This protocol uses a 4-way handshake mechanism for authentication process, but there is a weakness by using the 4-way handshake mechanism that possible to re-install the key (KRACK). This weakness can be used by attackers to hold up communications so that attackers can enter the network. This study, KRACK analysis was carried out on wpa_supplicant Android and Linux Ubuntu which connected to WiFi and the WPA2 security protocol to know the weaknesses. The analysis is doing on the user's device by connecting to the Rogue AP generated by the Vanhoef script. This dangerous line is compared to normal line. Analyzing attacks on 4-way handshakes, this research create implementation of KRACK Detector and the result of detection will be used to get the KRACK characteristics. The information getting from the result can prevent the disadvantages which coming by attacks. The validation of the research was carried out by using Wireshark to make sure that the third massage sends which show threat of attack.
Analisis Teks Bahasa Indonesia Dan Inggris Dari Sebuah Citra Menggunakan Pengolahan Citra Digital Akhmad Fadjeri; Atik Muhimatun Asroriyah; Atiq Rahmawati
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.650

Abstract

The purpose of this research is to analyze Indonesian text and English text from images using digital image processing. The method used in this research is an experimental method such as: literature review , identification problems, hypotheses, analyzing materials, designing programs, conducting tests and drawing conclusions. The result of this research is to detect the text contained in the image. This research result a digital image processing program in text that is containing from an image that has text in it, using input or input in form of a character image. The image that will be recognized into text with Tesseract OCR and output the text detected by the program. This program can show the level of accuracy to recognize characters and words. It conducted kind of testing on 8 images use several of text characters on it. In this case, the system can recognize characters on the text form, with an average accuracy 96% of the test data taken on images sourced from the internet. According to the testing results, this level of accuracy indicates that this application is quite accurate and efficient in identification the image of certain word or text character.
Sistem Informasi Covid-19 Berbasis Mobile Dengan Framework Flutter dan Application Programming Interface (API) Hermawan Setiawan; Muhammad Novrizal Ghiffari
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.640

Abstract

The corona virus (COVID-19) has been happen for long time on the world, recently there is a new variant, namely omicron, which is rapidly spreading throughout the world, especially in Indonesia. The lack and difficulty to creating of spreading data of corona virus, it makes difficulty to know the information of corona virus cases for people especially for people who want doing kinds of trip.  This research uses Information system of Covid-19 to plan the flutter framework and uses APIs to be able to solve these problems. The implementation of Flutter and API can easily collaborate to exchange the data in JSON format, so that data of covid-19 cases and their problems can be handled in the information system. 
Mapping Assistance For The Distribution Of Nine Food Staples To People Groups In Joglo Village Using K-Means Method Iwan Ady Prabowo; Bela Septiana
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 2 (2022): Jurnal TIKomSiN, Vol. 10, N0. 2, Oktober 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i2.654

Abstract

There are so many people live in Joglo village. However, sometimes  the government  feel confuse to decide the distribution of staple necessities.  The decision sometimes feel unfair dan get disappointing result because it is not appropriate to the real condition in certain family. The purpose of this study is to create model of mapping system for staple food assistance in Joglo village using the K-Means method. The method of this research use collecting data, modeling data using K-Means, Application Creation, Application Testing. There are some steps on collecting data, such as: observation, interview and literature case. The data came from the result of population census survey on 2020. Its used K-Means Method in data modelig stage. The data has been analyzed and modeled using the application of the K-Mean Method and  the stage of making an application using PHP in accordance with the stage pattern in the K-Mean method, then application testing is carried out whether it is appropriate for the K-Means method modeller. Mapping system for staple food assistance in Joglo Village using the K-means method that has been made has alternative input data and criteria. The result of this study has reciever mapping food in Joglo Village forming 3 clusters. There are 21 people on the first cluster, 16 people on the second cluster, 13 people on the third cluster.

Page 18 of 24 | Total Record : 235

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