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All Journal Journal of Computer Scine and Information Technology Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo
Mardison
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Perancangan Sistem Informasi Inventory Menggunakan Metode FIFO pada Toko Grosir Ceria Ghani, Abdul; Veri, Jhon; Mardison
Jurnal KomtekInfo Vol. 11 No. 1 (2024): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v11i1.498

Abstract

The cheerful grocery store is a business that offers food, drinks, and other necessities. The problem faced by grocery stores is that no system manages business activities and there is also no system for processing inaccurate inventory, receipt, and output data every month. Based on this, this research aims to design an information system by adopting the First in First Out (FIFO) method of performance. The design of this information system is intended to make it easier for cheerful grocery stores to manage business activities. The information system was designed and built using the PHP and MySQL programming languages. It is hoped that the system's work activities will be able to produce better sales, stock, and customer reports. Based on the tests that have been carried out, the resulting inventory information system is capable of controlling the stock of goods so that it can provide information on the existing stock of goods quickly and accurately. Overall, this research can contribute actively to helping the cheerful grocery store in the management of business process activities, especially in the inventory section.
Expert System Diagnosa Anak Penderita Autism Dengan Metode Forward Chaining Menggunakan Bahasa Pemograman Java Dan Database Mysql Ramadini, Yane; Mardison; Aggy Pramana Gusman
Jurnal Sains Informatika Terapan Vol. 4 No. 2 (2025): Jurnal Sains Informatika Terapan (Juni, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i3.724

Abstract

Autism disorders in a person generally suffer from birth, lack of sensitivity and parental knowledge about it is the problem so that the disorder is not detected quickly. For some people who are unfamiliar with this, it is very difficult to find information about places that provide this service. Because the process is too long, or lack of socialization for parents who do not understand this disorder. The problems that exist in the UPTD for Disability Services and Inclusive Education which are still diagnosing by relying on experts. The author makes an expert system that can diagnose children with autism with the forward chaining method, namely by answering questions related to the symptoms of autistic disorders according to the symptoms felt. It is hoped that the UPTD for Disability Services and Inclusive Education can be helped, and with this system, the service will be faster and also help the performance of employees at the UPTD for Disability Services and Inclusive Education.
Evaluation of the Quality of Additional Employee Income using the McCall Method Yolandari, Syafni; Rahmawati, Sri; 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.v10i1.92

Abstract

The use of information technology is a basic need for an organization. Additional Quality of Employee Income ( TPP ) in an agency is very important as a medium for conveying information in every employee activity at the Padang Panjang PUPR Service Office. The quality of the TPP will be known after an evaluation is carried out. The quality of the TPP is included in the good or bad category. TPP quality testing is an important thing to determine the quality of human resources . One way to test quality is to use the McCall method . The McCall method is a method for measuring the quality of TPP implemented at the Padang Panjang PUPR Service Office. This research was carried out by filling out a questionnaire using the PHPMySQL programming language using the McCall method. This evaluation activity is used to measure the attitudes, opinions and perceptions of a person or group of people about an event. The results of this research also show that the results of the evaluation carried out produced a percentage on a scale of 81% - 100% = 84% and were categorized as Good. By carrying out this quality evaluation.
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%.
Co-Authors Abdul Ghani Aggy Pramana Gusman Fachry Abda El Rahman Fikri, Dzaki Al Ramadini, Yane Veri, Jhon Wirda Jihadita Azmi Yolandari, Syafni Yuhandri