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PEMETAAN POTENSI WILAYAH HOME INDUSTRY DI KECAMATAN GIRIMARTO KABUPATEN WONOGIRI Siskak Akatani Kaudsar; Sri Hariyati Fitriasih; Yustina Retno Wahyu Utami
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 1 (2020): Jurnal TiKomSiN, Vol.8, No. 1, 2020
Publisher : STMIK Sinar Nusantara

Some residents in Girimarto sub-district make industrial businesses their main source of livelihood. The lack of information about the home industry in the Girimarto District area results in a less than optimal marketing of industrial products and the sale of products produced only around Wonogiri Regency. In addition, the inequality in the provision of facilities from the government has resulted in the very slow development of home industries.Based on these problems, an application will be made system geographic informality mapping the potential of a home industry in the District of Girimarto to provide information on existing home industries and grouping data using a Fuzzy tahani model database modeling to provide the results of classification of home industry data based on variable number of production per year, number of workers and the amount of turnover per year. The results of this system classification / grouping of home industry data in accordance with selected criteria with the highest fire strength value 1 from (interval 0-1). Hopefully this application can help provide information to the public about the home industry in the District of Girimarto and be able to classify home industry data so that it can be used as a decision-making material in how to develop the industry.

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

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

Implementasi Binary Search Untuk Data Obat di Apotek Ricky Yandy Darmawantoro; Yustina Retno Wahyu Utami; Kustanto Kustanto
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.v10i1.607

The development of technology and information from day to day is always experiencing significant developments, with the technology aimed at facilitating and facilitating human activities in life. In this case the design of the application of the Binary Search Algorithm for the processing of Pharmacy Isna Farma data is made. The application program aims to facilitate the processing of drug data in pharmacies, so that the available supply can be controlled by the owner. In the search program using the keyword drug words or can with the drug code. The purpose of this research is to create a drug data search application system that is applied with a data search tool and change the system in the pharmacy from manual to computing. In research applying the Binary Search Algorithm, the Binary Search Algorithm is a technique with sorted data. In this thesis research using the Binary Search algorithm method with stages of analysis, system design, coding / construction, testing, and implementation. At the analysis stage, data collection is carried out, namely observation and literature study. At the system design stage using Unified Modeling Language (UML) including use case diagrams, activity diagrams, sequence diagrams, and class diagrams. At the construction stage using the Java programming language Using the Netbeans application as a place for coding applications to become a system that is needed and the MySQL server as a database processor in the application. While the implementation of this system is an item data search application. The results of this study are a pharmacy Isna Farma, Drug data search by the Binary Search method with a total of 200 drug data, the average search time using the binary search method is 0.0030 second.The development of technology and information from day to day is always experiencing significant developments, with the technology aimed at facilitating and facilitating human activities in life. In this case the design of the application of the Binary Search Algorithm for the processing of Pharmacy Isna Farma data is made. The application program aims to facilitate the processing of drug data in pharmacies, so that the available supply can be controlled by the owner. In the search program using the keyword drug words or can with the drug code. The purpose of this research is to create a drug data search application system that is applied with a data search tool and change the system in the pharmacy from manual to computing. In research applying the Binary Search Algorithm, the Binary Search Algorithm is a technique with sorted data. In this thesis research using the Binary Search algorithm method with stages of analysis, system design, coding / construction, testing, and implementation. At the analysis stage, data collection is carried out, namely observation and literature study. At the system design stage using Unified Modeling Language (UML) including use case diagrams, activity diagrams, sequence diagrams, and class diagrams. At the construction stage using the Java programming language Using the Netbeans application as a place for coding applications to become a system that is needed and the MySQL server as a database processor in the application. While the implementation of this system is an item data search application. The results of this study are a pharmacy Isna Farma, Drug data search by the Binary Search method with a total of 200 drug data, the average search time using the binary search method is 0.0030 second.

Penentuan Penerima Bantuan Rumah Tidak Layak Huni Menggunakan Metode Simple Additive Weghting Sonia Ratnaning Pertiwi; Yustina Retno Wahyu Utami; Sri Harjanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 2 (2021): Jurnal TiKomSiN, Vol. 9, No. 2, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i2.571

Uninhabitable Housing Assistance (RTLH) is a government program which distribute to village office, it has purpose to improve the life quality of community. Poor people can life convenient with Uninhibitable Houses Assistence. Determination of social assistence construction of Uninhabitable Houses is going to do by relying on the intitution. The purpose of this research is creating a decision support system that can help to determine the appropriate poor people are receiving social assistence of Uninhabitable House (RTLH) using simple additive weighting (SAW) method. It is used the creteria such as, the monthly income, the occupation, the total of burden, the condition of house wall, the condition of house floor, the condition of house roof, and the condition of bathroom. The result of this research is the beneficial system for receiver of Uninhabitable Houses.

K-MEANS CLUSTERING UNTUK PEMETAAN DAERAH RAWAN DEMAM BERDARAH Suprihatin Suprihatin; Yustina Retno Wahyu Utami; Didik Nugroho
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 1 (2019): Jurnal TiKomSiN
Publisher : STMIK Sinar Nusantara

District Nogosari is one of the dengue-prone areas in Boyolali District. During the period of 2012 to 2014, there was a significant increase in dengue cases at Boyolali district. For the reasons above, the study is focused on how to cluster Areas DHF-Prone using K-Means method. Clustering is based on the parameter of the number of dengue cases in the sporadic and endemic zones. There are several types of data collection methods that include: observation, interview, and literature study. Design of this proposed system use modeling language the context diagram and data flow diagram. The system is implemented using PHP Programming Language and MYSQL database. This system cluster 3 level zones of Endemic and 3 level zones of Sporadic based on geographic information systems. The result of system testing using the silhouette coefficient on the sporadic zone is the average coefficient for level 1 is 0.837, level 2 is 0.858, and level 3 is 0.773 that means the object has been in the right group. The proposed system is expected to be a consideration in preventing, controlling and eradicating dengue hemorrhagic fever.Keywords: Endemic, Sporadic, K-Means clustering, Dengue hemorrhagic fever.

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

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%.

PENENTUAN RUTE TERDEKAT LOKASI KLINIK BERSALIN DI KOTA SURAKARTA MENGGUNAKAN ALGORITMA FLOYD WARSHALL Taratya Indra Pratiwi; Yustina Retno Wahyu Utami; Sri Hariyati Fitriasih
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 6, No 2 (2018): Jurnal TIKomSiN
Publisher : STMIK Sinar Nusantara

Maternity clinics are an option for mothers who will give birth, in addition to locations that are more affordable than hospitals, the place is evenly spread so that their presence can be identified. Maternity Clinic was also chosen because some mothers feel anxious to give birth in a hospital environment, conditions that can slow contractions, make labor longer and interventions are more likely. So giving birth to a baby in a maternity clinic is an alternative that is widely chosen. But not all of them know the location of the nearest Maternity Clinic. Then you will find a way to help find the location of the Maternity Clinic in the city of Surakarta to be faster. The purpose of this study was to make it easier to find where the maternity clinic was located and be able to facilitate and provide access to the community who needed a search for a maternity clinic in the Surakarta area. This research proposes Floyd Warshall algorithm to provide the shortest route. The data used is clinic location data obtained from the Health Office. The results of this research are the shortest route that is connected in the Google Map, namely information on the location of Maternity Clinic locations and nodes scattered in the Surakarta area which can be of benefit to the community about Maternity Clinic places.Keywords: Floyd Warshall Algorithm, Geographic Information System, Maternity Clinic, The Shortest Route

STEGANOGRAFI PADA CITRA BITMAP MENGGUNAKAN METODE LEAST SIGNIFICANT BIT BERSILANG UNTUK TEKS TERENKRIPSI BASE64 Albert Christie Giovani; Yustina Retno Wahyu Utami; Teguh Susyanto
Jurnal Ilmiah SINUS Vol 17, No 1 (2019): Vol. 17 No. 1 Januari 2019
Publisher : STMIK Sinar Nusantara

The development of internet has become one of the most popular data communication media. The ease of use and complete facilities are the advantages possessed by the internet. However, along with the development of internet media and applications that use the Internet, crime on information system increases as well. With various illegal information-gathering techniques developing, many are trying to access information that is not their right. There are several security techniques for sending messages confidentially and securedly, one of which is known as steganography. This study combined steganography and cryptography. The message was encrypted first using base64 then inserted using the LSB Crossed method. This method was aimed at making the process of extracting messages by unauthorized ones not easy. Embedding message into images was using the last binary number of the RGB value of an image by randomizing the placement of binary numbers by integrating base64 coding so that it combined base64 messages which next the text messages would be encrypted. The measurement results in the stego image using PSNR (Peak Signal to Noise Ratio) showed that the image quality after the insertion process was > 50 db

Penerapan Agglomerative Hierarchical Clustering Untuk Segmentasi Pelanggan Widyawati Widyawati; Wawan Laksito Yuly Saptomo; Yustina Retno Wahyu Utami
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

As more businesses emerge, companies need to have the right marketing strategy to provide the best service to customers. The first step is to know the type of customer and make appropriate marketing strategies according to the type of customer. In this research, it is proposed for clustering customers so that an appropriate strategy for that customer group can be determined. The method used for cluster formation uses Agglomerative Hierarchical Clustering with Average Linkage approach and distance determination using Manhattan Distance. The variables in this research are Recency, Frequency, and Monetary (RFM). The results of testing using the Silhouette coefficient show that the results of 7 clusters are the best results when compared with 2 clusters up to 20 clusters because they have the smallest minus value. Based on the results of the Silhoutte coefficient, customer segmentation uses 7 clusters with each cluster representing the existing customer type.

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