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Sitti Arni
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JL A.P Petarani No. 27 Panakukan Makassar
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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 156 Documents
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PERANCANGAN SISTEM PENCATATAN STOK ROKOK REAL-TIME BERBASIS WEB MENGGUNAKAN METODE V-MODEL Abdillah, Muhammad; Elhanafi, Andi Marwan
PROGRESS Vol 17 No 2 (2025): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i2.485

Abstract

The rapid development of information technology has encouraged companies to shift from manual processes to digital-based systems in order to improve operational efficiency and data accuracy. In cigarette distribution companies, manual recording of stock and distribution activities often causes various problems such as delayed reporting, discrepancies between warehouse and store stock data, and difficulties in generating accurate and timely reports. Based on a case study in a cigarette distribution company, a Web-Based Cigarette Distribution and Stock Management System was developed as a digital solution. The system was designed using the V-Model methodology, which emphasizes a strong correlation between development stages and testing phases. The system’s main features include stock data management (CRUD), stock request submission by sales, request verification by admins, as well as monitoring and report generation by managers. The implementation utilized PHP & MySQL for the backend, Bootstrap for the user interface, and AJAX to enable real-time data updates. System testing using the Black Box Testing method demonstrated that all key functionalities operated according to user requirements. The system successfully improved distribution efficiency, ensured data accuracy through input validation, and provided centralized data management for easier monitoring and auditing. Consequently, this system enables faster, more transparent, and integrated cigarette distribution processes, thereby supporting the company’s work effectiveness and managerial decision-making.
SISTEM INFORMASI LAYANAN JASA SAVE MY SHOE BERBASIS WEB MENGGUNAKAN METODE AGILE SCRUM Marpaung, Syahfikri Sauqi; Lubis, Fachrul Rozi
PROGRESS Vol 17 No 2 (2025): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i2.486

Abstract

Save My Shoe is a shoe cleaning service business that faces challenges in managing transactions, recording customer data, and monitoring services due to the absence of an integrated information system and reliance on social media. This study aims to design and implement a web-based information system that supports operational processes and service delivery in a more efficient and structured manner. The system was developed using the Agile method with a Scrum approach, allowing each feature to be built incrementally and tailored to User needs. The system includes features such as registration, Login, service ordering, payment, service progress tracking, and transaction reporting, with User roles consisting of admin and customer. Based on testing using the Black Box Testing method, all system functionalities operated according to the defined requirements. This information system is expected to improve business management effectiveness, enhance service transparency, and support the sustainable digitalization of MSMEs.
PERBANDINGAN KINERJA K-NEAREST NEIGHBORS DAN CONVOLUTIONAL NEURAL NETWORK UNTUK KLASIFIKASI CITRA KONDISI PERMUKAAN JALAN Jong, Fenny; Handhayani, Teny
PROGRESS Vol 17 No 1 (2025): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i1.426

Abstract

Improving road infrastructure quality is an important aspect of transportation development and road user safety. Automatically assessing road surface conditions can accelerate maintenance and repair efforts. This study compares two classification methods, K-Nearest Neighbors (KNN) and Convolutional Neural Network (CNN), to evaluate road surface conditions based on digital images. Texture features are extracted using the Gray Level Co-occurrence Matrix (GLCM), including Contrast, Homogeneity, Energy, and others, to enhance the classification accuracy in KNN, while feature extraction and classification in CNN are performed automatically. The dataset used in this research consists of 1500 images of road surfaces with three different conditions: smooth, cracked, and potholes. Each condition contains 500 images with a resolution of 300x300 pixels. The results show that the KNN algorithm achieves an accuracy of 57.2%, while CNN demonstrates the best performance with an accuracy of 93.8%. for 80% training data and 20% testing data
PREDIKSI HARGA DAGING SAPI DI KOTA JAKARTA PUSAT MENGGUNAKAN LSTM DAN GRU Adithya Putra, Farhan; Handhayani, Teny
PROGRESS Vol 17 No 1 (2025): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i1.438

Abstract

This study analyzes the performance of two algorithms, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), in predicting data from the PIHPS website, focusing on beef commodity prices. The dataset was divided into two proportions: 80:20 and 70:30, and evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and coefficient of determination (R²). The experimental results showed that GRU with 128 units and a 70:30 proportion achieved the best performance, with metrics of MAE at 170, RMSE at 390.2889, and R² at 0.902. The goal of this research is to determine the most suitable algorithm and unit configuration for this dataset. Future research is expected to integrate additional data with more complex models to improve prediction accuracy.
USER INTERFACE TESTING SEBAGAI LANGKAH MEMINIMALISIR RISIKO DIGITALISASI SARANA PRASARANA SEKOLAH Tasdik, Komarudin; Al-Adawiyah, Anggia Rabiyah; Subeno, Bambang
PROGRESS Vol 17 No 1 (2025): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i1.451

Abstract

User Interface (UI) design is one of the current specialized jobs so that there are special vacancies for the profession of UI designer. Along with this phenomenon, there are still schools that do not have a mobile application to facilitate their management, including asset data management. This study aims to add references on UI design along with how to test the design that can be implemented by programmers more easily. The design testing process is carried out using usability testing. Usability measurements are carried out on three parameters, namely effectiveness, efficiency, and satisfaction. The results obtained that as one of the solution recommendations, a mobile prototype was designed with the main features including the Borrow Page and Asset Borrowing Form. From the results of testing the prototype, the results obtained that the prototype that had been created obtained an Effectiveness aspect value of 100%, Efficiency of 0.152 goals/sec, and a SUS Score of 92 (Best Imaginable)
PENERAPAN METODE SMART DALAM PEMILIHAN PERPUSTAKAAN TINGKAT SMP TERBAIK DI KOTA MAKASSAR Jaylani, Ichsan; Rivan, Muhammad Fitrah; Harmin, Andi; Yadi, Asri
PROGRESS Vol 17 No 1 (2025): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v17i1.470

Abstract

The library plays a crucial role in supporting education and literacy. However, determining the best library in Makassar, particularly at the junior high school level, remains challenging due to various qualitative factors. This research applies the Simple Multi Attribute Rating Technique (SMART) method to evaluate and rank libraries objectively based on seven criteria: book collection, facilities, service, accessibility, innovation and technology, literacy activities, and cleanliness and safety. Data was collected through observations, questionnaires, and interviews across selected libraries in Makassar. The system developed provides a decision support tool that calculates weighted scores and recommends the best-performing library. Results show that SMART effectively delivers transparent and structured decision-making to support library quality assessment and policy recommendations.

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