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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Elektronika Listrik dan Teknologi Informasi Terapan bit-Tech Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Jurnal Komtekinfo RJOCS (Riau Journal of Computer Science) CSRID
Yuhandri
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology

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Journal : Journal of Computer Scine and Information Technology

 1 
Decision Support System for Selecting Casual Daily Workers to Become Permanent Employees Using the Profile Matching Method Edwar, Eggy Febyanti; Yuhandri; Arlis, Syafri
Journal of Computer Scine and Information Technology Volume 10 Issue 4 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i4.109

Abstract

Information is the result of processing data from one or more sources, which is then processed to provide value, meaning and benefits. In modern times, the use of technology plays a very important role as a means of information and promotion, especially in the field of websites in delivering information. Technological advances in the field of computers are very helpful in the current decision-making process. One method of decision support systems is profile matching. This method is used to determine the assessment in selecting daily employees to become employees. Profile matching is broadly a process of comparing individual competition in job competition so that the difference in competition (also called gap) can be known, the smaller the gap produced, the greater the weight of the value which means that there is a greater chance for employees to occupy the position. After the calculation using the Profile Matching method, the ranking value that meets the requirements is in the alternative with the name of the worker, namely Bakhtiar with a score of 4.535 and is recommended to become a permanent employee. By applying this method, it is very helpful in determining the selection of casual laborers to become permanent employees.
Measurement of Health Information Systems Using the McCall Method Fikri, Dzaki Al; Yuhandri; Mardison
Journal of Computer Scine and Information Technology Volume 10 Issue 1 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i1.97

Abstract

In an era of technology that continues to develop rapidly, structured and detailed data management is becoming increasingly important. This allows decision makers at the Clinic to easily monitor, evaluate and plan business strategies. The information system measurement application on Klink Mitra Sadona is used to analyze the quality of the electronic registration information service system for patients. This registration system can help patients make it easier to register at the clinic. Based on this, the quality of the health information system will be measured because in this system the level of system quality is not yet known, so as to identify the accuracy, completeness and quality of the software at the clinic. The measurement method in this research uses the McCall Method. The McCall method is a method used to assess the quality of a system. The results of research based on the McCall Method show that the quality of information system measurements is very good with a percentage value of 94%, with the best indicator value, namely efficiency with a result of 72% and the integrity indicator value is the worst indicator with a result of 52%.
Application of the FP-Growth Algorithm in Consumer Purchasing Pattern Analysis Putri, Indah Dwi; Yuhandri; Hardianto, Romi
Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i2.99

Abstract

Technology is currently used in various ways, one of which is businesses engaged in selling daily products. The right marketing strategy makes knowledge of consumer shopping patterns important to study because consumers are the main actors in carrying out transactions. The more diverse the types of goods sold in a company, the more diverse the resulting consumer spending patterns will be. Data mining is an analysis process that is carried out automatically on complex and large amounts of data to obtain patterns or trends that are generally not realized. The FP-Growth algorithm is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The method used in this research is the FP-Growth method which is implemented in the PHP programming language and MySQL as the database. Designing a data mining program using the FP-Growth method can analyze and manage consumer purchasing patterns based on goods purchased simultaneously. The data processed in this research is transaction data that has been processed into information so as to gain knowledge in calculating stock of goods sourced from the owner of Toko Asra. From testing this method, results were obtained from the 10 transactions in December 2021, by limiting the minimum support value to 0.2 and minimum confidence to 0.75, 33 patterns of consumer shopping habits were obtained, meaning that 33 products were most frequently purchased by consumers. Designing a data mining program using the FP-Growth method can help analyze consumer purchasing patterns based on items purchased simultaneously. The results of frequent itemset calculations can help find a sequence of combinations that can be used as product recommendations in business decision
Co-Authors Aal, Defrizal Ade Dwi Dayani Akbari Wafridh Auriga, Wira Billy Hendrik Dian Maharani, Dian Edwar, Eggy Febyanti Eriyanto, Joko Fernando Ramadhan Fikri, Dzaki Al Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo, Gunadi Hardianto, Romi Harkamsyah Andrianof Hendrik, Billy Idir Fitriyanto Idir Ilham Asy'ari Indah Dwi Putri Karseno, Doni Mardison Meiditra, Irzon Mey Yuki Lestari Mukhlis Santoso Pulungan, Akhiruddin Rahmansyah, Rizky Ramadhan, Prestian Ramadhanu, Agung Resnawita Riati, Itin Ridho, Ridho Afwan Rita Sari Rita Sari Rusydi, Rezki Sahri, Alfi Sajida, Mayang Sari, Fitri P. Sarjon Defit Siregar, Diffri Soeheri Soeheri Sonia Indhira Sovia, Rini Sumijan Supriyanto, Boby Syafri Arlis Syaputra, Eka B. Tri Agusti Farma Uthama, Rayhan Veri, Jhon Very, Jhon Wahyu Saptha Negoro Wahyu Saptha Negoro Yanti, Salma Nofri Yuda, Fitra Yuda