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All Journal SemanTIK : Teknik Informasi Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Journal of Embedded Systems, Security and Intelligent Systems
Abdul Malik
Universitas Mega Buana Palopo
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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OPTIMALISASI RUTE PENGIRIMAN UNTUK E-COMMERCE: APLIKASI KURIR BERBASIS WEB MENGGUNAKAN ALGORITMA SIMPLE HILL CLIMBING Malik, Abdul; Nirsal, Nirsal; Bantun, Suharsono; Sari, Jayanti Yusmah
SemanTIK : Teknik Informasi Vol 9, No 2 (2023):
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v9i2.45346

Abstract

Dalam penggunaan E-commerce yang terus berkembang, efisiensi rute pengiriman merupakan hal yang penting untuk keberhasilan bisnis. Penelitian ini fokus pada pengembangan aplikasi kurir berbasis web untuk mengatasi Travelling Salesman Problem (TSP), menggunakan algoritma Simple Hill Climbing (SHC). SHC, dengan pendekatan heuristiknya yang sederhana namun efektif, dipilih untuk menemukan solusi optimal dalam hal rute pengiriman. Melalui uji coba yang menggunakan lima titik lokasi, aplikasi ini berhasil mencapai akurasi 100% dalam mengoptimalkan pengiriman paket melalui kurir. Hasil ini menegaskan nahwa SHC dalam optimasi rute pengiriman, memberikan solusi yang bermanfaat bagi E-commerce untuk meningkatkan efisiensi operasional. Implementasi SHC dalam aplikasi kurir ini tidak hanya membantu dalam menyelesaikan TSP tetapi juga memberikan dorongan signifikan pada efisiensi logistik dalam E-commerce. Penelitian ini memberikan pengetahuan akan pentingnya integrasi solusi teknologi inovatif dalam logistik E-commerce, memperkuat kinerja bisnis di pasar yang kompetitif melalui optimalisasi rute. Kata kunci; Aplikasi, E-commerce, Kurir, Simple Hill Climbing (SHC)
Design and Development of a Web-Based Cashier and Accounting System Using CodeIgniter 4 Nur Wildayani Kahar; Abdul Malik; M. Hasanuddin; Muh. Hajar Harike; Suharsono Bantun
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 2 (2024): July 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i2.3305

Abstract

In the digital era, traditional manual bookkeeping and cashiering systems are no longer effective for managing store operations. CV Sinar Situju faces a particular problem in data management that is inefficient and error-prone. The solution offered is the development of a web-based bookkeeping and cashier system using the CodeIgniter 4 framework with the Rapid Application Development (RAD) method. This research method includes needs analysis, system design, implementation, and testing. The test results show that the system has good response speed, high stability, and is able to handle high user loads. The system improves operational efficiency, transaction recording accuracy, and data security. This research recommends the implementation of a web-based system to improve operational performance and customer satisfaction.
Improving Operational Efficiency Through Digital Transformation: Implementation of Web-Based Inventory Information System at PT Bintang Delapan Terminal Muhammad Faisal; Abdul Malik; M. Hasanuddin; Muh. Hajar Harike; Jayanti Yusmah Sa
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 2 (2024): July 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i2.3306

Abstract

The rapid development of information technology has brought significant changes in the logistics and warehousing sector. PT Bintang Eight Terminal faces challenges in managing inventory manually, causing recording errors and distribution delays. This research aims to develop and implement a web-based inventory control information system to improve the efficiency and accuracy of inventory management. The method used is the Waterfall model, which includes requirements analysis, system design, implementation, testing, and maintenance. The results showed that the new system reduced response time from 10 minutes to 5 minutes, increased data accuracy from 85% to 95%, and increased operational efficiency from 70% to 90%. User acceptance Testing (UAT) showed high satisfaction, noting significant improvements in ease of use and data access speed. In conclusion, this web-based information system is effective in improving operational performance and user satisfaction at PT Bintang Eight Terminal, and demonstrates that automation can have a positive impact in logistics and warehousing operations.
Improving the Efficiency of X-ray Data Management through Database-Based Web Application at RSUD I Lagaligo Musdy Yusuf; M. Hasanuddin; Muh. Hajar Harike; Abdul Malik; Suharsono Bantun
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 2 (2024): July 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i2.3327

Abstract

The development of information technology in the health sector encourages BLUD RSUD I Lagaligo East Luwu Regency to improve the efficiency of X-ray data management. This research aims to develop a web-based x-ray result database application to speed up access and increase user satisfaction. The methods used include requirements analysis, system design, application development with Laravel and MySQL, as well as functionality testing and User Acceptance Testing (UAT). The results showed that data access time was reduced from 7 minutes to 1 minute and user satisfaction increased from 3.4 to 4.8. This application is proven effective in improving the efficiency and quality of radiology services. Suggestions for further research are integration with broader hospital information systems and development of advanced analytic features.
Digital Transformation of Libraries: Web-based Information System Development with Laravel Ira Widyastuti; Muh. Hajar Harike; Muh. Nasir Takbir; Abdul Malik; Jayanti Yusmah Sari
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 2 (2024): July 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i2.3330

Abstract

This research addresses the problem of data and information management efficiency in the Regional Library of North Luwu Regency, which is currently still done manually, causing the process of borrowing and returning books to be slow and error-prone. The purpose of this research is to develop a web-based library information system using the Laravel framework to improve efficiency and user satisfaction. The methods used include requirements analysis, system design, development, testing, and evaluation. The results show that the system is able to provide a fast response with an average time of 120-180 ms and has high scalability. Significant improvements were seen in ease of use, access speed, data security, and operational efficiency. Thus, this Laravel-based information system is effective in improving efficiency and user experience and is able to handle future growth.
Perbandingan Kinerja YOLO vs Faster R-CNN untuk Deteksi & Estimasi Berat Ikan Justam Justam; Abdul Malik; Erlita Erlita; Deo Mangellak; Yuyun Yuyun
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 2 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i2.273

Abstract

Ikan kerapu dan ikan kakap memiliki nilai ekonomi tinggi di pasar global, sehingga identifikasi jenis dan estimasi beratnya menjadi aspek penting dalam perdagangan. Metode manual yang umum digunakan memerlukan waktu lama dan tenaga kerja besar. Oleh karena itu, penelitian ini membandingkan performa dua model deep learning, yaitu YOLO dan Faster R-CNN, dalam mendeteksi jenis dan mengestimasi berat ikan. Dataset terdiri dari 2.991 citra yang terbagi dalam 18 kelas dan diperluas melalui augmentasi menjadi 6.843 citra. Proses deteksi menggunakan detection threshold 0,8, dengan evaluasi berdasarkan precision, recall, accuracy, serta Mean Absolute Percentage Error (MAPE) untuk estimasi berat. Hasil menunjukkan bahwa model YOLO memiliki precision, recall, dan accuracy masing-masing sebesar 0,98, 0,98, dan 0,96, sedangkan Faster R-CNN mencapai 0,97, 0,98, dan 0,95. Untuk estimasi berat, MAPE YOLO pada citra sebesar 2,42% dan pada video 3,66%, sementara Faster R-CNN memiliki MAPE 14,62% pada citra dan 13,59% pada video. Dengan demikian, model YOLO menunjukkan kinerja lebih baik dibandingkan Faster R-CNN dalam mendeteksi jenis dan mengestimasi berat ikan
Co-Authors Deo Mangellak Erlita Erlita Ira Widyastuti Jayanti Yusmah Sa Jayanti Yusmah Sari Jayanti Yusmah Sari Justam Justam M. Hasanuddin Muh. Hajar Harike Muh. Nasir Takbir Muhammad Faisal Musdy Yusuf Nirsal Nur Wildayani Kahar Suharsono Bantun Yuyun Yuyun