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Teguh Susyanto
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teguh@sinus.ac.id
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tikomsin@sinus.ac.id
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KH Samanhudi 84-86, Laweyan, Surakarta, 57142
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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
 1 
Search results for , issue "Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020" : 10 Documents clear
Pemetaan Usaha Cafe Di Manahan Dengan Menggunakan Metode Naive Bayes Studi Kasus Dinas Perdagangan Paulus Harsadi; Dwi Remawati; Kriswantoro Budi Satrio
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.522

Abstract

There are many cafes in Manahan, Surakarta. Café can be found almost in every street and it usually visits teenagers. In several years, businesses café grow rapidly in Manahan. Nowadays there are a lot of teenagers who have a habit of hanging out in the café. The purpose of this study is to build a mapping business café in Manahan using Naïve Bayer Method. It is caused to determine a large variable which has high potential for the surrounding point. It cannot be denied that using Naïve Bayes Method can help people to determine the mapping business café. The result of this study is arranged based on the lowest value which is consisting of micro, small and medium. Keywords:  Mapping, Naive Bayes, Application
Penerapan Metode Naive Bayes Untuk Klasifikasi Pelanggan Hakam Febtadianrano Putro; Retno Tri Vulandari; Wawan Laksito Yuly Saptomo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.500

Abstract

Business location plays an important role in sales. The business location in cities makes the seller easier to distribute activities for people. Distribution activities are closely related to sales activities. If there is a sales transaction, a classification of potential and non-potential customers will be required. One method that can be used for classification is mining data. One of the most frequently used data mining for classification is the Naive Bayes method. The attributes used in the customer classification process are purchase amount, time interval, and location. The result of the classification system is 23 true reactions and 2 false reactions. Based on the results are using the confusion matrix method, it shows that the accuracy value reaches 92%, the precision value reaches 100%, the recall value reaches 91%.Keywords: Trading Business, Customer Classification, Naive Bayes, Confusion Matrix
Evaluasi Kualitas Website Pemerintah Daerah Dengan Menggunakan WebQual 4.0 Pada Instansi Pemerintahan ABC M Afriansyah; Andi Sunyoto; Asro Nasiri
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.468

Abstract

The purpose of website quality evaluation is helping ABC Government Institution to determine the significant influence of usability, information quality, and service interaction as a whole and partially. The research examines the relationship of usability, information quality, and service interaction in influencing the quality of the website in accordance with the reference webQual 4.0, by distributing questionnaires data processed using SPSS and analyzed by multiple regression analysis methods. The results of the analysis of all questions in the questionnaire were valid and reliable, the Cronbach alpha value for each statement> 0.1875. The influence of X1 usability, X2 information quality, and X3 service interaction variables on website Y1 quality is 63.8%. The value of Adjusted R Square is 0.407 or 40.7% the influence of independent variables on the dependent variable. In this study, the regression model equation is Y = 0.96 + 0.517X1 + 0.754X2 + 0.760X3. The evaluation of website quality should be done on dimensions or variable usability. Thus, the respondents feel less understanding or have inconvenience in operating the website, and also find some difficult to explore the website.Keywords: Evaluation, WebQual, Regression
Pengaruh Penggunaan Media Sosial dan Pengetahuan Kewirausahaan terhadap Minat Mahasiswa untuk Berwirausaha Di Bidang Teknologi Bambang Satrionugroho; Sri Tomo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.516

Abstract

Students in College are used social media for their various activities, and they have studied entrepreneurship in class. The purpose of this research was to determine the effect of using social media, and entrepreneurial knowledge on students’ interest in entrepreneurs’ technology, partially and simultaneously. This research was conducted a quantitative study. The population was 550 students with the total sample were 110 students of STMIK Sinar Nusantara in 2017-2019 which has been taken the Entrepreneurship class. In this study, data analysis method was used multiple linear regression analysis technique. The result was showed that the partial and simultaneous of using social media, and entrepreneurship knowledge has significant effect on students’ intention in entrepreneurs at the STMIK Sinar Nusantara Surakarta.Keywords : Social Media, Entrepreneurship Knowledge, Interest in Entrepreneurship
Rekomendasi Barang Di Toko Elektrik Menggunakan Algoritma Apriori Arvian Furqon Yudanar; Sri Hariyati Fitriasih; Muhammad Hasbi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.499

Abstract

Each company or organization which wants to survive needs to determine the right business strategies. Sales data for products made by the company will get a lot of data. So it is very unfortunate if there is not repetition analyzing. Its offered variety products with a wide range of products, and sometimes the brand influence people to buy the product, to know the highest sales products, it needs to know the relationship between one product to others, one of them is existing algorithms in mining data algorithms. They are algorithms apriori to be informed, and it can help of this program, products which appear simultaneously knowable. The purpose of the research is to determine the recommendation of goods so that purchases of goods stock are efficient. Apriori algorithms including the type of association rules in mining data. The one-step analysis association phase which is gotten the attention of many researchers to produce efficient algorithms is the analysis of patterns of high frequency (frequent pattern mining). Important or not an association can be identified by the two benchmarks, namely: support and confidence. Support (support value) is the percentage of the combination of these items in the database, while confidence (value certainty) is a strong relationship between the items in the rules of the association. Apriori algorithm can be helpful for the development of marketing strategies. From the validity testing result, the data is efficient if the minimum support more than 10% and the minimum confidence of more than 50%. The calculation needs two different minimum support and minimum confidence to know the best result. The problem is how to increase sales, and find out the interest of buyers in the product. And the results are obtained to decide the layout of the products in the shop window as an effort to increase sales in the store.Keywords:  Mining Data, Good Recommendations, Apriori, Algorithm
Perancangan Sistem Deteksi Dini Bencana Banjir Menggunakan Teknik Pengiriman DTMF Berbasis Modul RF 433 Mhz Dan Arduino M. Zainal Arifin; Ema Utami; Eko Pramono
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.465

Abstract

Flood is one of the unpredictable natural disasters, especially in the rainy season. There are many effects for many people, such as they lose their property and sometimes have many victims due to floods. So that, estimation of water level is important to detect the basic risk of flooding. In this study used the Water Level (TMA) in form of a short message technique which is can be sent from radio waves and river water level sensors. The value of the sensors to know the highest river water level itself, so it does not need signals, internet networks and also pulse for it. The final result of this study is the water level information which is normal status, standby I, standby II, standby III or standby IV.Keywords: RF 433MHz, Flood, Arduino, Early Detection
Klasifikasi Tingkat Gangguan Tidur Menggunakan Algoritma Naïve Bayes Iwan Ady Prabowo; Dwi Remawati; Aji Pratama Wisnu Wardana
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.519

Abstract

The Sleep disorder sometimes happens to someone unconsciously. Many health worker need a lot of time to detect the cause of sleep disorder, it is because there are some similar type of sleep disorder. The public health center in Karangmalang Sragen is needed a system to help the health workers to analyze the cause of sleep disorders. The aim of this research is to make a system to analyze the cause of sleep disorder by using the Naïve Bayes method. This research is conducted on Integrated Healthcare Center especially for the elderly in kedungwaduk. This research chooses the Naïve Bayes method to analyzing the type of sleep disorder experiences happen by the patient. The types of sleep disorders that used in this study were insomnia, hypersomnia, narcolepsy, sleep terror, disturbed sleep schedules and nightmares. The result in this study is patients can get solution about their sleep disorder, and also it can reduce the bad effect for the patient. The validation result of the Naïve Bayes method showed that 80% data was accuracy and it will be compared between 10 data from diagnostic test and 30 testing data.Keywords : Sleep disturbance, diagnosis, naïve bayes
LITERATURE REVIEW: PENGENALAN WAJAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK Sriyati Sriyati; Arief Setyanto; Emha Emha Luthfi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.463

Abstract

Facial recognition to detect the identity of the gallon user's face in honesty in the school environment has many methods such as local, global, and hybrid approaches. The main problem of using the gallon of honesty is that the program uses the Self-service system, which is a self-service system, where the buyer serves itself unattended. The water charging activity is still found by users who are dishonest, such as taking water but not putting money into the place that has been provided, the thing that should be when the user fills the water then the user must also enter Money into the box provided. Because of the absence of supervision in this program of honesty then it is difficult to know who is dishonest in order to be able to do prevention for the dishonesty that has occurred when using the gallon of honesty program. Facial recognition using the Convolutional Neural Network (CNN) method to classify images. A literature review is used to analyse and focus on techniques in conducting facial recognition on the use of gallons of honesty. Keywords: facial recognition, convolutional neural network methods, a gallon of honesty
Arsitektur Enterprise Sistem Informasi Institusi Perguruan Tinggi Menggunakan Zachman Framework Dwi Agustina Martuti; Teguh Susyanto; Setiyowati Setiyowati
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.523

Abstract

The higher education program in Indonesia is developing and growing very rapidly and which is followed by the increasing business needs of the organization. Increasing the data and information in business functions which is conducting by college became the use of information systems the college. The lack of planning in appropriate developing information system process will obstruct on completing university’s strategies. In this study, the method of collecting data and information is observing and interviewing system users and collecting documents related to business processes. The design of enterprise architecture uses the Zachman Framework with the perspective of the planner (scope), owner (business model), and designer (system model). The researchers expect that the result can be a roadmap for the planning design which is proposed to make it easier for students and employees.Keywords: Blueprint, Strategic Planning, Enterprise Architecture, Zachman Framework
Rekomendasi Wisata Umbul dengan K-Means Clustering Fajar Pamungkas; Didik Nugroho; Yustina Retno Wahyu Utami
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v8i2.478

Abstract

District Klaten has many springs that are used by people for many things; one of them used for tourist attractions is umbul tourism. It is difficult to use K-Means Clustering Method for determine umbul tourism according to classification and spread in district Klaten. K-Means Clustering is a method of grouping data by taking parameters of a number clusters, and partitioning data into clusters, based on similarities between data in one cluster and dissimilarities between different clusters, the center of the cluster is the average of the cluster member values it called as centroid. The results of this study are grouping the umbul truism which are divided into three clusters namely Enough, Good and The Best. The result of the data, there are 4 umbul tourisms in the first cluster is Beautiful category, namely Tirtomoyo, Buto, Pancuran, and Besuki. In the third cluster of umbul tourism has good category, namely Tirto Mulyani umbul, Gedaren, Sumber Nila, Manten, Sigedang, and Kajen. In the best category in the second cluster has 8 umbul tourisms, namely Nila umbul, Tirto Mulyono, Ingas, Lumban Tirto, Ponggok, Tirto Raharjo, Jolotundo, and Tirtomulyono.Keywords: K-Means Clustering, Umbul, Umbul Category, Tourist Destination

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