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All Journal Jurnal Ilmiah Sinus Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS
Yustina Retno Wahyu Utami
STMIK Sinar Nusantara Surakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Social Sciences

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PENENTUAN JUMLAH PRODUKSI BAJU BATIK DI BATIK MERAK MANIS DENGAN METODE FUZZY MAMDANI Dwi Rudi Setiawan; kustanto kustanto; Yustina Retno Wahyu Utami
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 1 (2019): Jurnal TiKomSiN
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.324 KB) | DOI: 10.30646/tikomsin.v7i1.417

Abstract

Determination of production is one of the important activities within a company because it affects the production process that requires careful calculation. At this stage, the problem will arise because of the uncertainty in the determination of production. Fuzzy logic is one method to analyze a system that contains uncertainty. In this research used the Mamdani method or known as Min-Max method. The purpose of this research is to build the application of the determination of the number of batik clothes production using Fuzzy Mamdani method. The variables used there are 3 namely: demand, inventory, and production. Data collection method used observation method, interview and literature study. The method to design the application system is DFD (Data Flow Diagram), ERD (Entity Relationship Diagram). The proposed system is developed using MySQL and PHP. The result of this research is an application to calculate the production amount of batik clothes, especially in Batik Merak Manis. Based on the results of 20 sample data obtained level performance of 99.51%.Keywords: Fuzzy Mamdani, Batik clothing products, Determination.
SISTEM PENDUKUNG KEPUTUSAN PENANGANAN GIZI BALITA DENGAN METODE FUZZY MAMDANI Heru Budi Kusumo; Dwi Remawati; Yustina Retno Wahyu Utami
Jurnal Ilmiah SINUS Vol 16, No 1 (2018): Januari 2018
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.601 KB) | DOI: 10.30646/sinus.v16i1.331

Abstract

Decision Support System is a branch of artificial intelligence used to help make decisions in semi-structured cases, where it is not known exactly how decisions should be made. In this research, the design and making of decision support system that is used to help determine the nutritional status of children with weight input, age, height, head circumference, nutrition value of toddlers and the output of nutritional status of children under five and their handling. The problem of data uncertainty in decision support system is solved by using fuzzy mamdani method. The existence of data uncertainty in the process can occur because of the differences in existing calculations on the system. The process of determining the nutritional status of this decision support system is begun by entering the input data of toddlers, where the system will display some variables that have been made then start the calculation with the application. The end result of this research is decision support system to do nutritional handling in toddler along with their nutrition result. The calculations show the level of confidence in the system of nutritional status of the toddler and from the results of this study obtained the system accuracy of 83.33% of the 18 test data that has been tested is obtained. Therefore, it can be concluded that decision support system produces a good examination.
Penerapan Metode Clustering dengan Fuzzy C-Means untuk Memetakan Daerah Rawan Kecelakaan Lalu Lintas di Surakarta Ignatius Bagas Ristanto; Yustina Retno Wahyu Utami; Teguh Susyanto
Jurnal Ilmiah SINUS Vol 19, No 2 (2021): Vol. 19 No. 2, Juli 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i2.562

Abstract

Along with the development of Surakarta's infrastructure, the need for transportation has also increased. Indirectly, it will also cause several problems that must be considered, such as traffic accidents. Data regarding traffic accidents can be used to classify road sections based on the characteristic similarity factor inherent in the data. The sample data used were 1429 accident data from 89 road data in the city of Surakarta. The clustering method used to get the expected results is the Fuzzy C-Means method. The results of accident data grouping are displayed using tables and maps that describe the mapping of road sections in the jurisdiction of the Surakarta City Police. The variables used to cluster data are the number of events, the number of victims who died, and the number of injured victims. The result of this research is a system application that can classify accident-prone areas using the Fuzzy C-Means method into 3 clusters, where the first cluster consists of 5 data, the second cluster consists of 20 data, and the third cluster consists of 64 data.
Sistem Pendukung Keputusan Penentuan Pemberian Pinjaman Dengan Metode Perbandingan Eksponensial (MPE) Pada Koperasi XYZ Agus Warseno; Yustina Retno Wahyu Utami; Andriani Kusumaningrum
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.527

Abstract

The XYZ cooperation is a business entity dealing with savings and loans, building rental, convection, rice procurement and shops that are very concerned about the welfare of its members. The appraisal process for loan approval decision in the XYZ cooperative was still lack of assessment. It was based on the value of the members’ report cards which covers collateral, wealth, and behavior so that the funds were not often on the target. Moreover, the cooperative members were often careless in repayment process. The method in this research was Exponential Comparison Method. This method determined the priority order of alternative decisions with criteria. Those criteria in this research were: Report cards, BI Checking, Application Purpose, source of income, monthly income, installment period, completeness of files, guarantees, status, and the amount requested. As a result of applying this system and adding some new criteria, cooperation considers loan approval assessments in determining the eligible members. The results of functional testing by black-box method showed that the system ran as expected and the functions of the application ran properly.
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%
SISTEM INFORMASI BERBASIS WEB SEBAGAI MEDIA PROMOSI PADA LEMBAGA TERAPI MUTIARA AL ISLAM SURAKARTA Dwi Remawati; Yustina Retno Wahyu Utami; Sri Hariyati Fitriasih; Tri Irawati; Hendro Wijayanto
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 1 No. 6 (2023): Desember
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v1i6.221

Abstract

Teknologi Informasi berkembang dengan pesat dan menyebabkan perubahan dengan cepat di semua bidang. Berbagai sektor dan aspek kehidupan terus berupaya mengadopsi perkembangan teknologi dalam meningkatkan produktivitas dan efisiensi kerja. Mutiara Al Islam Surakarta merupakan lembaga pendidikan luar sekolah di Surakarta atau Kota Solo, yang bergerak di bidang pendidikan anak berkebutuhan khusus (ABK). Selama ini belum banyak yang tahu keberadaan lembaga ini meskipun telah lama berdiri. Dengan adanya alasan tersebut, perlu adanya media promosi yang lebih memudahkan masyarakat mengenal Mutiara Al Islam Surakarta. Website Mutiara Al Islam yang telah dibangun dapat diakses di http://mutiaraalsilam.com. Yang mana dengan adanya website tersebut, menunjukkan bahwa 32 siswa Mutiara Al Islam, 53% nya mengetahui lewat media website. Sehingga website ini menjadi salah satu alat promosi bagi Mutiara Al Islam yang cukup baik. Selain menjadi media promosi pengenalan sekolah, kedepan media website ini dapat menjadi pusat informasi Lembaga Terapi Mutiara Al Islam Surakarta
Co-Authors Agus Warseno Andriani Kusumaningrum Dwi Remawati Dwi Rudi Setiawan Hendro Wijayanto Hendro Wijayanto Heru Budi Kusumo Ignatius Bagas Ristanto kustanto kustanto Richi Adi Prasetyo Sri Hariyati Fitriasih Teguh Susyanto Tri Irawati