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All Journal International Journal of Electrical and Computer Engineering Journal of Computer Scine and Information Technology Jurnal Komtekinfo
Romi Hardianto
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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An Automatic ROI of The Fundus Photography Jufriadif Na'am; Johan Harlan; Irawadi Putra; Romi Hardianto; Mutiana Pratiwi
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.832 KB) | DOI: 10.11591/ijece.v8i6.pp4545-4553

Abstract

The Region of interest (ROI) of the fundus photography is an important task in medical image processing. It contains a lot of information related to the diagnosis of the retinal disease. So the determination of this ROI is a very influential first step in fundus image processing later. This research proposed a threshold method of segmentation to determine ROI of the fundus photography automatically. Data to be elaborated were the fundus photography’s of 13 patients, captured using Nonmyd7 camera of Kowa Company Ltd in Dr. M. Djamil Hospital, Padang. The results of this processing could determine ROI automatically. The automatic cropping successfully omits as much as possible the non-medical areas shown as darkbackground, while still maintaining the whole medical areas, comprised the posterior pole of retina captured through the pupil. Thus, this method is  helpful in further image processing of posterior areas. We hope that this research will be useful for researchers.
Application of Promotion and Marketing of Micro, Small and Medium Enterprises (Umkm) of Pariaman City (Aplikasi Promosi Dan Pemasaran Hasil Usaha Mikro Kecil Menengah (Umkm) Kota Pariaman) Romi Hardianto; Yesri Elva; Eva Rianti
Jurnal KomtekInfo Vol. 6 No. 2 (2019): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (592.158 KB) | DOI: 10.35134/komtekinfo.v6i2.55

Abstract

Micro, Small and Medium Enterprises (MSMEs) have an important role to support the economy in Indonesia and to enhance the era of the ASEAN free market community (MEA). MSMEs have been spread in almost every region in Indonesia, but MSMEs have been prevented from promoting their business results to the wider community because of promotions that are still carried out by word of mouth, with the existence of e-commerce as a technological development can help this problem. . E-commerce is a dynamic set of technologies, applications and business processes that connect certain companies, consumers and communities through electronic transactions and the electronic, trading of goods, services and information
Application of the FP-Growth Algorithm in Consumer Purchasing Pattern Analysis Indah Dwi Putri; Yuhandri; Romi Hardianto
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
Permanent Employee Assessment Decision Support System using the Simple Multi Attribute Rating Technique (SMART) Method Ryan A Pratama; Romi Hardianto
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.v10i2.100

Abstract

Every agency or organization must be able to select and determine competent employees to fill vacant positions so that the main duties of that position can be carried out. To obtain information quickly and accurately about the assessment of permanent employees in accordance with the expected criteria, a decision support system is needed. Objective decisions are usually fair because they are in accordance with the facts and supported by data to produce a decision/recommendation that can make things easier for agency or organization leaders. By using the Simple Multi Attribute Rating Technique (SMART) method, it is hoped that it can help in making decisions about evaluating permanent employees. The SMART method uses a multiattribute decision technique which is used to support decision makers in choosing between several alternatives. This research aims to assist the leadership of the West Sumatra Ministry of Religion in making decisions regarding permanent employee recommendations for employees. The method used in this research is qualitative. Based on the test results, a weighting system is produced that takes into account the assessment factors that exist in employees. The results of the assessments that have been carried out will immediately produce data on employees who have competencies worthy of being promoted to a better career level. In the research, 6 criteria were used, namely cooperation , work ability, work discipline, loyalty, responsibility and communication. With 5 alternative data, calculations were carried out using the SMART method, the result that got the highest score was Endang Mesfitra with a final result of 0.7425. With the research results, the application can help leaders in providing assessments and the results of these assessments produce objective decisions so that leaders can recommend employees according to the criteria
Co-Authors Indah Dwi Putri Irawadi Putra Johan Harlan Jufriadif Na`am, Jufriadif Mutiana Pratiwi Rianti, Eva Ryan A Pratama Yesri Elva Yuhandri Yuhandri