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Teguh Susyanto
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tikomsin@sinus.ac.id
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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 10 Documents
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Search results for , issue "Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021" : 10 Documents clear
Kombinasi Transaksi Penjualan (Merk Beras) Menggunakan Algoritma Apriori (Studi Kasus di UD. SRD) Iwan Ady Prabowo; Wawan Laksito Yuly Saptomo; Nungky Kurnia Candra
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.543

Abstract

UD. SRD is an individual company that produces and sells rice with various brands. UD. SRD is an individual company that produces and sells rice with various brands. Rice brands sold include C4 Kelapa, C4 Raja, C4 Merak, Nogo Hitam, Nogo Merah, Nogo Hijau, Pandan Wangi, Mentik Wangi and Rojo Lele. In processing sales data is still done manually that is only using notes or receipts, so the data only serves as an archive. In this study, the data amounted to 404 rice sales transactions from January to September 2016. The purpose of this research is the creation of Apriori algorithm system to predict combination of rice brand in sales transaction in UD. SRD so as to help the company know the sales of the most frequently purchased rice brands simultaneously. The result of combination rice brand is getting using Apriori Algorithm which supported minimum 30% and confidence minimum 70%. It appears from thus statements "If buy C4R, it will buy C3M with 51.54% support and 77.31% confidence", "If buy MW , It will buy C4M with the value of support 48.27% and the value of confidence 79.92% "," If buy C45 and C4M, it will buy MW with the value of support 32.43% and the value of confidence 71.20% "and" If buy MW and C4R , It will buy C4M with the value of support 32.43% and the value of confidence 82.91%".
Sistem Pakar Diagnosa Virus Corona Dengan Metode Naïve Bayes Fareza Aditiyanto Nugroho; Arif Fajar Solikin; Mutiara Dwi Anggraini; Kusrini Kusrini
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.553

Abstract

Humans being are faced with non-natural disasters which have bad effect for population on the world. This non-natural disaster is called Corona Virus Disease (COVID-19). This COVID-19 will become a pandemic in 2020. This types of COVID-19 is coming from the Orthocronavirinae. It belongs to the Coronaviridae and the Nidovirales. This type of that virus has caused some disease to birds, mammals and also human being. Therefore, the research was conducted. The result of this research will give the information about system which related the classification human being according to their transmission to the body. This research used naïve bayes method. The result of this research is diagnostic system with the level of accuracy 94%. Thus, COVID-19 diagnostic expert system used to know the level of COVID -19 infections to human being. It can help the user knowing the next treatment.
Pengaruh Disiplin Ilmu Terhadap Kecenderungan Mahasiswa Dalam Mengakses Informasi Melalui Media Sosial Menggunakan Metode Chi Square Retno Palupi; SM Santi Winarsih
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.536

Abstract

Social media becomes necessity that is always consumed by many levels of society to looking for such of information. Social media services provide many features that make users can enjoying seaching in cyberspace. All the level of society, all the level of social background and all the level of professions are very familiar with various social media. Social media services on gadgets have facilities to obtain information quickly and easily, such as Facebook, Instagram, YouTube and etc. This study examines the usage of smartphones to determine whether there is a significant effect of students from various disciplines on the tendency of students to access the information needed to support assignments or to find out the required data through social media. The Chi Square method is used as a testing method to determine the effect of disciplines on student tendencies in accessing information topics through social media. The data analysis gave the measurable results based on quantitative data and interesting information. The results showed that the influence of the field of study on students’ Tendencies depend on intensity time in accessing social media.
Sistem Pendukung Keputusan Pengadopsian Anak Menggunakan Metode Analytical Hierarchy Process Dan Metode Perbandingan Eksponensial Ajeng Dhanty Yoshima; Dwi Remawati; Muhammad Hasbi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.544

Abstract

YPAB is an institution that keeps and takes care babies and children who don’t have parents. The babies and the children can be adopted, but the institution has their own regulations for potential adopters who want to adopt children. All this time, adopter who adopted the babies or the children from YPAB institution is done manually which need long time. Therefore, DSS is needed for decide a potential adopter. The purpose of this research is developing a DSS in the process of selecting potential adopters. Meanwhile, the research method uses the Analytical Hierarchy Process (AHP) and the Exponential Comparison Method (MPE) and the System testing uses black-box and validity testing. System testing is used black-box and validity testing by comparing the real YPAB data and the calculation system results. The test results show that the adoption system using the Analytical Hierarchy Process (AHP) method and the Exponential Comparison Method (MPE) has a good performance so that the system is feasible to be implemented in YPAB.
Algoritma Apriori Untuk Penentuan Assosiasi Penjualan Barang Calvin Ivan Wiryawan; Yustina Retno Wahyu Utami; Didik Nugroho
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.538

Abstract

The increasing of selling basic needs make the company has to provide a lot of goods. The data will be growing up with increasing the transaction at Sari Bumi store. All this time, the selling basic needs at Sari Bumi Store unstructured well so that needed an application with produce important information that can decide marketing strategies. In this research, Apriori algorithm is used to determine association rules. This method was chosen because it is one of the classic data mining algorithms to look for patterns of relationships between one or more items in one dataset. A priori algorithms can help companies in developing marketing strategies. The result of this research is combination between 4 item set with a minimum support of 30% and minimum confidence of 60%.
Prediksi Penjualan Kertas Menggunakan Metode Double Exponential Smoothing Erinsyah Aditya Nugroho Putro; Elistya Rimawati; Retno Tri Vulandari
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.548

Abstract

One of the important thing in business is the inventory of goods and services. Business goal can be reached when business owner know how the number of their inventory. Printing business is using forecasting model in their purchasing raw materials to estimate and calculate their selling prediction. That model is used to minimize economic losses when the costumer canceled order because paper was ran out and to prevent paper damage does not occur date to storage that to long. Double Exponential Smoothing method is used in this research to predict the sales of Paper A and HVS A3+ paper and calculates the prediction error with MAPE (Mean Absolute Percentage Error). This study aims to make an accurate forecasting application. The prediction results from application are in the form of prediction calculations for sales in the following month which will be used to optimize the purchase of paper to be sold. In applying the research results of Paper A and HVS A3 +, the best alpha was obtained in the 12th period, namely 0.3 and 0.6 with a MAPE error of 12% and 18% and an accuracy rate of 88% and 82% where the alpha was used to predict period 13 and produces a forecast value of 446 for Paper A and 474 for HVS A3 +
Penerapan Navmesh Dengan Algoritma A Star Pathfinding Pada Game Edukasi 3d Go Green Linda Safira; Paulus Harsadi; Sri Harjanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.540

Abstract

Cleanliness is one of the requirements to create a healthy living environment. But in reality, not everyone have a concern for environmental hygiene and health. For this reason, learning about the importance of caring for environmental cleanliness must be instilled early on. One interesting method to provide learning about environmental cleanliness can be through games. With the 3D visualization of this environmental cleanliness game, it is an effort to raise awareness of the importance of environmental hygiene and health in the community. The location used in making this game is Campus 1 Poltekkes Surakarta. The purpose of this study is implementation of Navmesh with the A Star (A*) Pathfinding Algorithm on the characters so that players can find the trash location point and the location point of the tree with the shortest route. Making this game uses the GDLC (Game Development Life Cycle) method with stages of Initiation, Pre Production, Production, Testing, Beta and Release. This game can be played on desktop and mobile devices. The results of the research that has been done are seen from the algorithm simulation testing is the nodes that are passed by as many as 50 nodes, where there are duplicate data as many as 7 nodes due to real time systems that read nodes over and over. Thus, the application accuracy rate reaches 86%.
Sistem Seleksi Calon Siswa Bidik Misi Menggunakan Metode Simple Additive Weighting Budi Hartanto; Bramasto Wiryawan Yudanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.549

Abstract

Vocational Senior High School of Muhammadiyah 2 Sukoharjo, opens Student Scholarship of Bidik Misi to accept new students in every admission period of academic year. This school has difficulty to decide the candidates of scholarship grantee. In this research, there is solution by creating selection system to select the candidate of scholarship grantee using Simple Additive Weighting method. This research uses parents’ income, family living cost, students’ grades, and students’ achievement. This research also uses a Usecase Diagram to design the system. To test the system, this research uses Blackbox testing method. There are 25 valid questions in research result so that this application is suitable to select the new students. Based in its result, additive simple weighting method can be used as a method to support decision, especially in the selection of scholarship grantee candidates.
Evaluasi Sistem Informasi Manajemen Puskesmas (Simpus) (Studi Kasus : Puskesmas Induk Di Wilayah Kabupaten Sukoharjo) Dasa Styo Ndaru Utomo; Sri Hariyati Fitriasih; Setiyowati Setiyowati
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.541

Abstract

The public health center management information system (SIMPUS) is used to provide services at public health center, from patient registration to medical services. There are some inconsistencies regulations happen, so it is needed evaluation using COBIT 4.1 to evaluate the level of capability (As-Is) and draw conclusion.This research uses primary and secondary data collection methods. This study uses primary and secondary data collection methods. The author conducts an evaluation process using Framework COBIT 4.1 domain Acquire and Implement (AI) process Acquire and Maintain Application Software (AI2), Delivery and Support (DS) process Educate and Train Users (DS7) and Monitor and Evaluate (ME) process Monitor and Evaluate IT Performance (ME1). There are 154 respondents with details of AI2 27 respondents, DS7 100 respondents, and ME1 27 respondents. The AI2 questionnaire has 24 questions, DS7 and ME1 have 18 questions. The maturity level of AI2 is 3.29 and DS7 is 2.59, the value of CO maturity is at matury level 3, which means the condition in which the entire process has been documented and has been communicated, and implemented properly, but there is no evaluation process of the system. The ME1 maturity level of 3.58 at matury level 4 means that the computerized process can be monitored and evaluated properly. Based on the expected level, it is concluded that the average expected ideal value for AI2 and DS7 is at level 4 while ME1 is at level 5.
Pencarian Data Barang Produk Atribut Sekolah Menggunakan Algoritma Binary Search Risma Dara Awal Aviantika; Kustanto Kustanto; Muhammad Hasbi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.546

Abstract

Technology and information that is growing and sophisticated must be balanced according to the needs. For it was made the application of binary algorithms for the search data goods production of school attributes. Many methods in search with the goal of making it easier to search, e.g. search data of production items of school attributes with binary search method. Convection in the search of production goods using the manual way by looking for the archive data written in the notebook, the purpose of this research is to create a data retrieval system of goods that will be applied as a data retrieval tool of goods, as well as change the system manual to the computing system. In this research using Binary Search algorithm. Binary search algorithm is a technique applied only on the sorted element (sorted). This research using method of binary search algorithm with analysis stage, system design, coding/construction, testing, and implementation. In the analysis stage, the collection of data conducted is observation and literature study. At the system design stage using Unified Modelling Language (UML) include the use case diagram, activity diagram, Sequence diagram, and Diagram class. At the construction stage using the Java programming language using Netbeans and MySQL Server tools while the implementation of this system is the application of data retrieval of goods. To know the eligibility of a system, it is necessary to test against the search time of 210 data each time duration, 0.0004 seconds, 0.0005 seconds, 0.0006 seconds, 0.0007 seconds, 0.0008 seconds, 0.0009 seconds, 0.0010 seconds, 0.0012 seconds, 0.0014 seconds, 0.00117 seconds. The final result of this study is the application of search for production goods with Binary Search Algorithm Method.

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