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All Journal International Journal of Artificial Intelligence Research Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo
Rani, Larissa Navia
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Sistem Pendukung Keputusan Pemilihan Kualitas Kedelai Sebagai Bahan Baku Tahu Menggunakan Metode TOPSIS Rani, Larissa Navia
Jurnal Sains Informatika Terapan Vol. 1 No. 2 (2022): Jurnal Sains Informatika Terapan (Juni, 2022)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v1i2.59

Abstract

Soybeans are a plant that has a high level of protein, and soy sauce is also widely used by producers as raw ingredients for tofu, tempe, various, processed foods, and other beverages. the various types of soybeans make business perpetrators confused about determining the best quality of soybeans. therefore, to speed up the selection of the best-quality soy needed a decision support system. the method used in the support systems of this decision is the technique for order preference by similarity to the ideal solution (TOPSIS), which is chosen because this method is able to select the best alternatives from the existing alternatives. using this system is expected to be able to assist the business perpetrators in making decisions when choosing the type of soybeans that have the best quality.
Perancangan Sistem Customer Relationship Management (CRM) Berbasis Web pada Senyaman Resto & Coffee Rahim, Muhamad Aulia; M, Mardison; Jamhur, Annisak; Rani, Larissa Navia
Jurnal KomtekInfo Vol. 11 No. 4 (2024): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v11i4.615

Abstract

Marketing or promotional activities that are still less effective are a business obstacle, especially at Senyaman Resto & Coffee. This can be seen from the large amount of sales transaction data, sales transaction data is still recorded in books and records. Based on this, this research aims to design a Customer Relationship Management (CRM) system to increase promotional activities and improve services to Senyaman Resto & Coffee consumers. This CRM system design was built using PHP and MySql programming. CRM system design also adopts design tools using Unified Modeling Language (UML). Based on performance testing of the CRM system that has been designed, it appears that the system can provide features for creating sales and customer reports. These results had quite an impact on sales data processing which was built better than before. The contribution of this research also provides efficiency in the promotion and sales management processes that occur at Senyaman Resto & Coffee
Determination of Student Subjects in Higher Education Using Hybrid Data Mining Method with the K-Means Algorithm and FP Growth Rani, Larissa Navia; Defit, Sarjon; Muhammad, L. J.
International Journal of Artificial Intelligence Research Vol 5, No 1 (2021): June 2021
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.161 KB) | DOI: 10.29099/ijair.v5i1.223

Abstract

The large number of courses offered in an educational institution raises new problems related to the selection of specialization courses. Students experience difficulties and confusion in determining the course to be taken when compiling the study plan card. The purpose of this study was to cluster student value data. Then the values that have been grouped are seen in the pattern (pattern) of the appearance of the data based on the values they got previously so that students can later use the results of the patterning as a guideline for taking what skill courses in the next semester. The method used in this research is the K-Means and FP-Growth methods. The results of this rule can provide input to students or academic supervisors when compiling student study plan cards. Lecturers and students can analyze the right specialization subject by following the pattern given. This study produces a pattern that shows that the specialization course with the theme of business information systems is more followed by students than the other 2 themes
Co-Authors Jamhur, Annisak M, Mardison Muhammad, L. J. Rahim, Muhamad Aulia Sarjon Defit