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All Journal Jurnal VOK@SINDO Journal of Development Research Sinkron : Jurnal dan Penelitian Teknik Informatika J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Pengabdian Masyarakat Bestari (JPMB)
Salnan Ratih Asriningtias
Universitas Brawijaya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Industrial & Manufacturing Engineering Social Sciences Other

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Cluster Validity Index to Determine the Optimal Number Clusters of Fuzzy Clustering for Classify Customer Buying Behavior I Dewa Made Widia; Salnan Ratih Asriningtias; Sovia Rosalin
Journal of Development Research Vol. 5 No. 1 (2021): Volume 5, Number 1, May 2021
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v5i1.134

Abstract

One of the strategies in order to compete in Batik MSMEs is to look at the characteristics of the customer. To make it easier to see the characteristics of customer buying behavior, it is necessary to classify customers based on similarity of characteristics using fuzzy clustering. One of the parameters that must be determined at the beginning of the fuzzy clustering method is the number of clusters. Increasing the number of clusters does not guarantee the best performance, but the right number of clusters greatly affects the performance of fuzzy clustering. So to get optimal number cluster, we can measured the result of clustering in each number cluster using the cluster validity index. From several types of cluster validity index, NPC give the best value. Optimal number cluster that obtained by the validity index is 2 and this number cluster give classify result with small variance value
Black Box Testing Menggunakan Boundary Value Analysis dan Equivalence Partitioning pada Aplikasi Pengadaan Bahan Baku Batik dengan Pendekatan Use Case I Dewa Made Widia; Sovia Rosalin; Salnan Ratih Asriningtias; Elta Sonalitha
J I M P - Jurnal Informatika Merdeka Pasuruan Vol 6, No 1 (2021): MARET
Publisher : Fakultas Teknologi Informasi Universitas Merdeka Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37438/jimp.v6i1.300

Abstract

The batik raw material purchase order application is a website application that will be used by Batik MSMEs to be able to help managers make decisions in determining the quantity of raw material orders. To ensure the application meets the expected functional requirements, testing is required. Testing is done using Black Box Testing, which is validating the output from the given data input. Test cases in black box testing can be designed using use cases, because the functional requirements of the application are described in the use case diagram. Test case design that can assist in finding application errors are an important consideration in application testing. There are several types of methods that can be used in determining test cases including Boundary Value Analysis and Equivalence Partitioning. Boundary value analysis can only be used to test data types with range values. Whereas the Equivalence partition is used to exploit all possible data based on defined criteria. So in this study the test was carried out by combining Boundary Value Analysis and Equivalence Partitioning. The test results show the method can find errors from effective applications, this is evidenced by the DRE value obtained of 0.45, which means that 45% of the test cases built did not pass the test.Keyword— Black Box Testing, Boundary Analysis Value, Equivalence Partitioning, MSMEs, Use Case
Training on Using Google Data Studio for Real-Time and Interactive Management of Beji Village Data and Information Rachmad Andri Atmoko; Salnan Ratih Asriningtias; Myro Boyke Persijn
Jurnal Pengabdian Masyarakat Bestari Vol. 1 No. 8 (2022): November 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpmb.v1i8.1710

Abstract

The use of information technology is very important to support speed and ease in serving the community. However, at the village level there is still a shortage of specialized staff in the field of providing information technology-based applications. So, it is necessary to do community service in the form of technical guidance to take advantage of the use of applications such as Google workspace. Google workspace makes it very easy to manage data and information management. The data collection process is carried out using the Google form, data processing uses Google sheets, and administrative work can use the collaboration feature on Google Docs. This community service program is intended to explore Google workspace facilities, in creating data visualization dashboards using Google Data Studio. Villagers can monitor the movement of data in real-time against input from the Google form in the form of interactive graphics so that it can be used as a basis for making decisions more quickly.
Identification of Public Library Visitor Profiles using K-means Algorithm based on The Cluster Validity Index Salnan Ratih Asriningtias; Eka Ratri Noor Wulandari; Myro Boyke Persijn; Novita Rosyida; Bayu Sutawijaya
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2023): Article Research Volume 8 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.12901

Abstract

The existence of a public library in the Gampingan village has a positive impact, such as increasing the literacy culture of the village community. However, the library collection is not sufficient for the needs of visitors. Therefore, it is necessary to add library collections to fulfill the requirement. One of the solutions is mapping the library needs of visitors. The mapping can be done by identifying visitor profiles by grouping visitors based on the criteria of age, gender, type of visitor, and category of book library. One of the methods that can be used in the process of grouping visitors based on criteria is to use the K-Means Clustering method. Determining the number of K cluster centers at K-Means Clustering method that are not appropriate will give bad results, it is necessary to test the number of K cluster centers using the Cluster Validity index by measuring the clusters with cluster variance, within-cluster variance, and between-cluster variance. From the grouping process using K-Means Clustering with Cluster Validity index, we get 3 clusters of visitor profiles with a cluster variance value of less than 0.1. This shows that this method was able to identify the visitor profiles with high grouping accuracy values.
APLIKASI PENGADAAN BAHAN BAKU BATIK MENGGUNAKAN METODE FUZZY TSUKAMOTO DAN FUZZY ANALYTICAL HIERARCHY PROCESS Salnan Ratih Asriningtias; Novita Rosyida; I Dewa Made Widia; Eka Ratri Wulandari
VOK@SINDO : Jurnal Ilmu-Ilmu Terapan dan Hasil Karya Nyata Vol 10, No 1 (2023)
Publisher : Fakultas Vokasi Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

UMKM menjadi perhatian untuk dioptimasi mengingat UMKM adalah usaha kecil menengah dengan modal yang tidak terlalu besar. Segala upaya efisiensi harus terus diupayakan untuk membantu kinerja dan penekanan biaya produksi. Pentingnya efisiensi dalam proses order mempengaruhi penghematan biaya yang harus dikeluarkan untuk persediaan. Faktor utama yang mempengaruhi efisiensi dalam proses order diantaranya adalah pemilihan pemasok yang tepat dan penentuan jumlah order yang tepat. Pada penelitian ini digunakan pengembangan aplikasi  pengadaan bahan baku batik yang menerapkan metode Fuzzy Tsukamoto dan Fuzzy AHP guna memperoleh efisiensi dan efektifitas proses order. Fuzzy Tsukamoto untuk menentukan jumlah order dan Fuzzy AHP untuk pemilihan pemasok. Aplikasi pengadaan bahan baku batik dapat merekomendasikan pemasok untuk beli bahan baku, jumlah pemesanan bahan yang harus dipesan oleh manager beserta total biaya yang dikeluarkan dengan nilai MAPE 8.85% yang menujukkan bahwa tingkat akurasinya tinggi.Kata Kunci: Fuzzy AHP, Fuzzy Tsukamoto, Pemasok, UMKM
Co-Authors Bayu Sutawijaya Eka Ratri Noor Wulandari Eka Ratri Wulandari Elta Sonalitha I Dewa Made Widia I Dewa Made Widia Myro Boyke Persijn Novita Rosyida Rachmad Andri Atmoko Sovia Rosalin