cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sitti Arni
Contact Email
jurnalprogres@gmail.com
Phone
+6281354738088
Journal Mail Official
jurnalprogres@gmail.com
Editorial Address
JL A.P Petarani No. 27 Panakukan Makassar
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Jurnal Informatika Progres
Published by STMIK PROFESIONAL MAKASSAR
ISSN : 20868359     EISSN : 2797622X     DOI : https://doi.org/10.56708/progres.v14i1.300
Core Subject : Science,
Computer Science & IT
Jurnal Informatika Progres merupakan jurnal Blind Peer-Review yang dikelola secara profesional dan diterbitkan oleh P3M STMIK Profesional Makassar dalam upaya membantu peneliti, akademisi, dan praktisi untuk mempublikasikan hasil penelitiannya. Jurnal ini didedikasikan untuk publikasi hasil penelitian dalam bidang yang memuat artikel tentang Teknologi, Komunikasi, Informasi dan Komputer. Terbit dua kali setiap tahun, 2 nomor 1 volume, yaitu pada bulan April dan September. Semua publikasi di Jurnal Informatika Progres ini bersifat akses terbuka yang memungkinkan artikel tersedia secara online tanpa berlangganan apapun.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 14 No 2 (2022): September" : 5 Documents clear
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SEPEDA MENGGUNAKAN METODE PROMETHEE Ivan Hintoro; David
PROGRESS Vol 14 No 2 (2022): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v14i2.337

Abstract

Toko Sepeda Super Top is a shop that sells various kinds of bicycles in Sekadau Regency. Not a few consumers are confused in choosing a bicycle. Based on the survey, 59.3% of respondents stated that it is difficult to choose a new bicycle. To assist consumers in choosing a bicycle, we need a system that can support consumers in making decisions. This study utilizes a Decision Support System (DSS) to support Toko Sepeda Super Top consumers in choosing a bicycle that suits their needs. The DSS method used is the Promethee type I method with the criteria used in the form of brand, price, durability, design, weight, and accessories. The form of research used in this research is a case study with a software design method, namely the prototype method. The result of this research is a bicycle selection DSS software that can be accessed by two levels of users. Admin can process bicycle data by inputting, updating, and deleting data. Then ordinary users can use a decision support system with the Promethee method to assist in bicycle selection.
PENERAPAN APLIKASI E-COMMERCE BERBASIS BUSINESS TO CONSUMERS PADA TOKO CANADA MENGGUNAKAN FRAMEWORK CODEIGNITER David; Meyrisia Bella Melinda
PROGRESS Vol 14 No 2 (2022): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v14i2.339

Abstract

Toko Canada is a company that sells various kinds of fashion needs for men and women. The system used in sales activities is still manual, which is still using notebooks in processing the data. So in carrying out sales activities is still difficult and takes a lot of time. There needs to be a sales system to facilitate sales activities. Business To Consumers is one of the e-commerce models, which is a business process where sales deal directly with buyers. Buying and selling directly through word of mouth is still done in the era of technological developments like now. However, the buying and selling process was deemed less efficient and the scope of sales was felt to be less extensive. So that these problems are not sustainable, an e-commerce business model website will be built for customers. In building an e-commerce system, the author uses the prototype method by designing the system using the Unified Modeling Language (UML). Then MySQL supported to manage existing databases. The final result of this research is an e-commerce system at Toko Canada that can help and facilitate various sales activities. The conclusion of this research is that the sales application that has been made makes it easy for owners to get accurate reports and can also help employees to record reports.
SISTEM PENUNJANG KEPUTUSAN KENAIKAN JABATAN KARYAWAN DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Kefas Oswald Mokirimban; Herwana; Sitti Arni
PROGRESS Vol 14 No 2 (2022): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v14i2.340

Abstract

PT. United Tractors is a company engaged in the distribution of heavy equipment, but the current problem that is often the main focus for employees regarding promotions at PT. United Tractors, which often appears as a result of measuring tools in the process of increasing positions, still seems manual which is assessed directly by the company's leadership, especially in measuring work performance, performance and discipline. This study aims to facilitate the leadership and speed up the selection process for employee promotions using the Analytical Hierarchy Process (AHP) method. The final result of this research is to create a web-based application system that is used as a decision support system for employee promotions using the Analytical Hierarchy Process (AHP) method, easy to implement and can be calculated by the system using predetermined criteria and weights.
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN PADA CAFE ALGO MAKASSAR Supriadi; Kurnia Yahya; Samsuriah
PROGRESS Vol 14 No 2 (2022): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v14i2.341

Abstract

Decision Support Systems can be defined as information systems and analytical models designed to determine decision makers to get better information. By utilizing this SPK, it is believed that it will really help dynamics in overcoming problems to determine the level of customer satisfaction with Cafe Algo services. The SPK method in this study uses SAW, this method is used to determine the weight of the criteria for attributes, in the positioning system. it will create the best option with absolutely precise calculations. The alternative is customers assessing service quality based on predetermined standards. The final result of this calculation concludes that in general, the average customer is satisfied with the service quality of Cafe Algo.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN GENERATOR SET YANG SESUAI KEBUTUHAN CALON KONSUMEN MENGGUNAKAN METODE TOPSIS PADA PT. SINAR TEKNIK PRATAMA Muhammad Rizaldy; Bianca Resna Maya Sari; Dikwan Moeis
PROGRESS Vol 14 No 2 (2022): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v14i2.342

Abstract

The purpose of this study is that there is a problem regarding the selection of generators that are suitable for home needs, therefore we want to help consumers to find generators that suit the needs and capacity of their homes. The method in solving this problem, namely, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a compensation aggregation method that compares a series of alternatives by identifying the weights for each criterion, normalizing the score for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score for each criterion. The result of this research is the system can find out which generators are in accordance with consumer needs and which are not in accordance with consumer needs.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 15 No 2 (2023): September Vol 15 No 1 (2023): April Vol 14 No 2 (2022): September Vol 14 No 1 (2022): April Vol 13 No 2 (2021): September Vol 13 No 1 (2021): April Vol 12 No 2 (2020): September Vol 12 No 1 (2020): April Vol 11 No 2 (2019): September Vol 11 No 1 (2019): April Vol 10 No 2 (2018): September Vol 10 No 1 (2018): April Vol 9 No 2 (2017): September Vol 9 No 1 (2017): April Vol 8 No 2 (2016): September Vol 8 No 1 (2016): April Vol 7 No 2 (2015): September Vol 7 No 1 (2015): April Vol 6 No 2 (2014): September Vol 6 No 1 (2014): April Vol 5 No 2 (2013): September Vol 5 No 1 (2013): April More Issue