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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

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

Aplikasi Distribusi Buku Di Unit Pelaksana Teknis (UPT) Dinas Pendidikan Kecamatan Sambirejo Kabupaten Sragen Laraswati Wahyu Priyono, Muhammad Hasbi, Sri Tomo
Jurnal Ilmiah SINUS Vol 11, No 2 (2013): Juli 2013
Publisher : STMIK Sinar Nusantara

Application monitoring the distribution of the book is one application that can be used for the processing of data about books. Monitoring textbooks in the Technical Implementation Unit Sambirejo the District Education Office has not so the maximum, so that such problems arise in the form of doing a special data processing in the data perekapan book, ineffective distribution of books in every school.The purpose of this research is to design and build applications in the Book Distribution Unit of the Technical Education Department in the distribution of books in each school in the district Sambirejo Sragen. With 27 elementary schools and a number of 7 types textbooks such as Indonesian, Mathematics, Natural Sciences, Social Sciences, Education Citizenship, English. With this application is expected to provide ease of deployment of the book at each school. The data collection method that the authors use include field studies and literature. Field studies conducted with frequently asked questions or interview and observation or observation. In terms of programming language the author uses language program Hyper Text Preprocessor (PHP). Keywords : book, monitoring, Technical Education Department, school

Sistem Pendukung Keputusan Penentuan Rating Acara pada Radio Karysma FM. Boyolali Sukma Mustika Aji, Muhammad Hasbi, Sri Hariyati Fitriasih
Jurnal Ilmiah SINUS Vol 11, No 1 (2013): Maret 2013
Publisher : STMIK Sinar Nusantara

The research report titled "Determination of Decision Support Systems Rating Event In Karysma Fm Radio Boyolali" karysma fm radio Boyolali help to determine the rating the show so it can determine advertising rates accordingly. To achieve maximum benefit based on advertising rates are adjusted with a rating event, we used Multiple Linear Regression method. Multiple Linear Regression methods were used to predict Y if all the independent variables are known. In this case study, the method used to determine the size of the rating event. While the event rating was measured by segmenting the event. The system uses PHP as the programming language and the MySQL database as a store, where there are 8 tables that airtime, program type, type of music, advertising rates, users, analysis, coefficients, and graphic rating. The research is expected to assist in determining the rating event marketing to support decision-making advertising tariff. The application program only helps to provide input to the marketing, but the decision remains in the hands of the marketing. Keywords : Decision Support Systems, rating event, FM Radio, marketing, tariff

Sistem Pemesanan Tiket Pesawat dengan Menggunakan J2ME Chusnul Chotimah, Wawan Laksito, Muhammad Hasbi
Jurnal Ilmiah SINUS Vol 10, No 2 (2012): Juli 2012
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v10i2.98

One example of this technology is the use of flight bookings through mobile devices, also known as the M-Ticketing. With the M-Ticketing can facilitate modern society who have little time to buy or book air tickets directly to airline ticket agents. M-Ticketing allows people to book tickets anywhere, anytime using mobile devices connected to the Internet networkKeywords: M-Ticketing, J2ME

Sistem Pakar Untuk Diagnosa Penyakit Demam Berdarah Danang Tri Wahyujana, Didik Nugroho, Muhammad Hasbi
Jurnal Ilmiah SINUS Vol 10, No 1 (2012): Maret 2012
Publisher : STMIK Sinar Nusantara

Artificial intelligence is part of computer science that make for the machine (computer) can do the job as good as yangdilakukan and human. One area of study that is pakar.Sistem good expert system designed to solve a particular problem by mimicking the work of experts. In the health sector, an expert system is developed to perform disease diagnosis. One of the diseases that need the experts that dengue fever. The purpose of design expert system is that users can perform diagnosis of dengue fever based on the symptoms entered into the system. The method used in this knowledge base is the trace method developed. Methods of data collection included interviews and a literature review of both books and discourses on the internet. The results of the consultation with this system shows that the system is able to determine the disease based on symptoms and suggestions entered by the user Keywords: Artificial Intelligence, Expert Systems, tracking forward, Fever bloody

Metode Analitychal Hierarchy Process Dan Simple Multi Attribute Rating Technique Sebagai Penunjang Keputusan Pemilihan Supplier Bayu Aji Setiyawan; Sri Siswanti; Muhammad Hasbi
Jurnal Ilmiah SINUS Vol 18, No 2 (2020): Vol. 18, No. 2, Juli 2020
Publisher : STMIK Sinar Nusantara

Process of choosing a supplier in Sukoharjo has not used the application program in making the decision but still use the manual way in writing. In addition, in conducting the selection of suppliers conducted by the HRD section is still subjective so that the results obtained in the selection of suppliers are less valid because in selecting HRD suppliers only choose based on price criteria, where If there is a supplier that offers the lowest price then the supplier will be chosen as a supplier in Sukoharjo. The purpose of the research is to build and implement a decision support system that is useful for the selection of suppliers in Sukoharjo using the method of Analyitychal Hierarchy Process (AHP) and Simple Multi Attribute Rating Technique (SMART). Where AHP method to calculate the weight of the criteria and SMART method to calculate the supplier's alignment. With testing black box system is already running according to the function and for the results of the validity test get the test value results in the category very good with a percentage of 80%.

Analisis Faktor-Faktor Yang Mempengaruhi Minat Siswa SMA/SMK Mendaftar Di STMIK Sinar Nusantara Surakarta Sanggrama Anuraga, Muhammad Hasbi, Tri Irawati
Jurnal Ilmiah SINUS Vol 11, No 1 (2013): Maret 2013
Publisher : STMIK Sinar Nusantara

The research to determine the influence of interest, excitement, liveliness or vocational high school students enroll in STMIK Sinar Nusantara Surakarta. This study uses descriptive correlation. Methods of data collection using questionnaires and documentation. The population in this study were all students at STMIK Sinar Nusantara in Surakarta using purposive sampling method by 80 respondents representative. Based on the available data concluded that there are significant interest and pleasure factor. Whereas no effect on the activity of registering interest in STMIK Sinar Nusantara. By registering silmultan the influence of 57.9%Key words : interest, excitement, liveliness, student enroll

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