cover
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
ISSN : 20868359     EISSN : 2797622X     DOI : https://doi.org/10.56708/progres.v14i1.300
Core Subject : Science,
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.
Articles 5 Documents
Search results for , issue "Vol 14 No 1 (2022): April" : 5 Documents clear
SISTEM PAKAR DIAGNOSA PENYAKIT REFRAKSI MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Edha Jenny Cahyani; Sandy Kosasi
PROGRESS Vol 14 No 1 (2022): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (667.538 KB) | DOI: 10.56708/progres.v14i1.300

Abstract

Refractive diseases often occur in the community. Many people are not aware of the symptoms, some are aware that they are reluctant to consult directly with a doctor for reason that they are afraid of spending a large amount of money just to diagnose refractive disease. Based on some these problems, system that can adopt ability of an expert is an expert system. With this expert system, it can be a solution for community in diagnosing refractive diseases. Expert system diagnose refractive disease was built using the forward chaining method. Software designed using prototype method by using Design Science Research method. Software testing uses black-box testing method, program code units with boundary value testing techniques. Results of this software design in the form of software that’s named "Expert system for diagnosing refractive diseases". This software is designed using web-based programming language, HTML, CSS, PHP with MySQL database. Results displayed by system in the form of diagnostic results containing the disease diagnosed. These results are based on symptoms that have been filled in by user. This expert system software can provide references and assist users in providing information about their illness, initial treatment solutions and prevention of refractive diseases.
PENGARUH TINGKAT AKURASI DALAM IDENTIFIKASI GEJALA DAN TANDA PENYAKIT PADA TANAMAN Yasmine Mufidah; Richard Noah; Leady Lawalatta; Nuzul Bragas
PROGRESS Vol 14 No 1 (2022): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.187 KB) | DOI: 10.56708/progres.v14i1.301

Abstract

The development of technology in the industrial era 4.0 is now very advanced from year to year. Initially, only a small set of tools and simple machines in industries, then the development has become a modern orbit so that it can help to range from solving problems with human control to machines that can make their own decisions from the analysis they do. This called artificial intelligence. Specifically in the field of agriculture, artificial intelligence technology can be implemented to facilitate and even provide knowledge about technology for farmers and those working in agriculture. In this case, to see the effect of the level of accuracy in identifying symptoms and signs of disease in plants using the ResNet model architecture.
SISTEM INFORMASI SUMBANGAN PEMBINAAN PENDIDIKAN BERBASIS WEB PADA PONDOK PESANTREN TAHFIZHUL QURAN AL-IMAM ASHIM MAKASSAR Djuanda Azis; Abdullah Tajuddin; Satriawaty Mallu
PROGRESS Vol 14 No 1 (2022): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.353 KB) | DOI: 10.56708/progres.v14i1.302

Abstract

Payment of Sumbangan Pembinaan Pendidikan or abbreviated as SPP is a payment that is applied to every educational institution and has become the obligation of students to make SPP payments. One of them is at the Tahfizhul Quran Al-Imam Ashim Islamic Boarding School in Makassar. The system that is still used at the Tahfizhul Quran Al-Imam Ashim Islamic Boarding School Makassar still uses a manual system using a ledger in the data input process which is less effective so the process is required for inputting can be quite long. Manual systems can also have a bad impact on the input process, one of which is in the calculation section, in this case, not a few financial managers experienced this incident, this incident can cause problems in managing school management. Therefore, before this happens, the research team hopes to provide a solution to this problem, by suggesting using this web-based Payment Donation Information System to overcome this problem. The method used in this case is the waterfall developer method, Simple Additive Weighting, and Black Box Testing Method. Data collection techniques use qualitative techniques such as interviews, observations, and literature reviews. This information system has been designed according to the data we collect so that it can be used effectively and efficiently.
ANALISIS NILAI AKURASI PENGOLAHAN CITRA PENDETEKSIAN RINTANGAN KERJA TRAKTOR MENGGUNAKAN K-MEANS CLUSTERING Nikmah Jayanti; Charos George Selan
PROGRESS Vol 14 No 1 (2022): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1103.627 KB) | DOI: 10.56708/progres.v14i1.318

Abstract

The use of agricultural tractors as mechanical aids for tillage using agricultural tractors can make work lighter, faster, more efficient and do big jobs in a relatively short time. Along with the development of technology, many innovations have been developed by humans, including in the field of digital image processing. Segmentation is one of the methods in digital image processing to distinguish objects in an input image. One of the algorithms that can be used for image segmentation is K-Means. Many algorithms are used in image classification. Algorithms that can be used to complete the supervised classification include Paralleepiped, Minimum Distance, Mahalanobis Distance, Maximum Likelihood, Naive Bayesian, K-Nearest Neighbor. Algorithms that can be used to solve unsupervised classifications include Isodata, K-Means, Improved Split and Merge Classification (ISMC), and Adaptive Clustering (CA). Based on this description, this research was conducted to facilitate the data processing process, it is necessary to have a data grouping system to determine decisions in the analysis to determine the level of accuracy in the detection of obstacles resulting from image processing where obstacles are detected, noise and obstacles are not detected. processed and grouped based on their characteristics so that it is known that the cluster is low, medium cluster and high cluster to be able to analyze the data, it is necessary to have a deeper analysis using the K-Means Clustering method and implement K-Means results into Rapidminer to see the results of visualizing the K-Means algorithm data grouping.
IMPLEMENTASI METODE RESEARCH AND DEVELOPMENT (R & D) PADA APLIKASI PENGELOLAAN ARSIP Muh. Farid Wajdi; Mika Tandililing
PROGRESS Vol 14 No 1 (2022): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.127 KB) | DOI: 10.56708/progres.v14i1.320

Abstract

Archives are one of the important assets owned by the regional revenue agency office so that more attention is needed so that it can facilitate the process of processing archives to be efficient and easy. This study aims to design a web-based application of the archives of the regional revenue agency using the R&D method and interviews, observations, literature studies as data collection techniques so that the results of this study are expected to help the work in the office of the regional revenue agency in South Sulawesi.

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