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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Informatika Progres Jurnal Indonesia : Manajemen Informatika dan Komunikasi The Indonesian Journal of Computer Science
Baharuddin, Suardi Hi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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SISTEM PENCARIAN RUTE TERBAIK EKSPEDISI BARANG MENGGUNAKAN METODE ANT COLONY PADA PT. PELINDO TPKNM Faizal, Muhammad Rahmat; Sitorus, Kasirun; Tandililing, Mika; Baharuddin, Suardi Hi
PROGRESS Vol 16 No 1 (2024): April
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v16i1.388

Abstract

This research is focused on building and implementing a system for finding the best route in cargo expeditions for PT. Pelindo. PT. Pelindo faces a significant challenge in providing the best service to its customers to enhance their satisfaction. In response to this challenge, the developed system employs the Ant Colony Optimization (ACO) approach, inspired by the foraging behavior of ants when searching for the shortest path from their nest to a food source. Through ACO, the system aims to provide optimal and efficient route solutions. The research results encompass the development and implementation of ACO calculations within a system capable of generating the best alternative routes. The routes generated involve eight main points, namely A-B-C-D-E-F-G-H-A. It is expected that this system will be a highly valuable tool for users in finding the most efficient and cost-effective travel routes for cargo expeditions. Furthermore, the outcomes of this research are anticipated to contribute positively to improving the quality of service provided by PT. Pelindo to their customers, thus enhancing customer satisfaction and overall logistics operational efficiency.
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR TERHADAP PENENTUAN RISIKO KREDIT USAHA MIKRO KECIL DAN MENENGAH Ida; Baharuddin, Suardi Hi; Faisal, Muhammad; Ramadhan, Nur; Darniati
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.163

Abstract

This research was carried out in the context of implementing the K-NN algorithm so that a source of information can be produced as a basis for supporting decisions on initial credit applications by customers so that they can help cooperative managers more as knowledge of the progress of credit proposals that are carried out at the Micro, Small and Medium Enterprise Cooperative Service Office ( SMEs) South Sulawesi Province. The K-Nearest Neighbor algorithm is used to classify objects based on attributes and training samples. Among them, from k objects, the k-Nearest Neighbor algorithm uses neighbor classification as the predicted value. The results show that the algorithm produces a classification with a faster calculation time based on the prediction of customer data resulting from the calculation.
Klasifikasi Jenis Peralatan Gym Menggunakan Convolutional Neural Network Andika, Farid; Yunarti, Sry; Baharuddin, Suardi Hi
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4065

Abstract

The use of artificial intelligence, especially Convolutional Neural Networks (CNN), has shown significant progress in image classification and object recognition. This research aims to develop an effective CNN model for automatically classifying gym equipment types, with the potential to improve the operational efficiency of fitness centers. The CNN model was trained using TensorFlow and Keras with the Adam optimizer and categorical cross-entropy loss function for 10 epochs, with data augmentation using ImageDataGenerator. The model evaluation shows satisfactory accuracy with a precision value of 0.9760, recall of 0.9772, and F1-score of 0.9766. The model successfully identified image samples from test data with a high level of confidence. The results of this study show that the use of CNNs in gym equipment classification has great potential to improve the efficiency of equipment recognition and contribute to the development of more advanced fitness technologies.
IMPLEMENTASI SISTEM PENDAFTARAN SISWA BARU BERBASIS WEB MENGGUNAKAN ALGORITMA SAW DI SANGGAR KEGIATAN BELAJAR UJUNG PANDANG Sarumpaet, Calvin Bonar; Fajri, Hidayatul; Baharuddin, Suardi Hi
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.v17i1.464

Abstract

The new student registration process at Sanggar Kegiatan Belajar (SKB) Ujung Pandang was previously conducted manually, resulting in several issues such as data processing delays, file accumulation, and lack of transparency in selection. This study aims to develop a web-based registration information system integrated with the Simple Additive Weighting (SAW) algorithm to enhance the efficiency and objectivity of the selection process. The system was developed using the Waterfall model and implemented using PHP and MySQL-based web technology. The implementation results show that the system can automate registration and selection in real-time. The SAW algorithm effectively produces objective participant rankings based on criteria such as exam scores, age, and domicile. Evaluation indicates that the system improves selection speed, result accuracy, and facilitates data management for users. It can be concluded that this system provides significant benefits for both SKB administrators and applicants and is relevant in supporting the digital transformation of non-formal education.
Pemanfaatan aplikasi Notion sebagai “otak kedua” untuk meningkatkan produktivitas belajar siswa-siswi di SMAS Datuk Ribandang Makassar Usman, Nasir; Harmin, Andi; Baharuddin, Suardi Hi; Moeis, Dikwan
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 5 (2025): September (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i5.33486

Abstract

AbstrakDi era digital saat ini, informasi menjadi aset penting yang perlu dikelola secara efisien. Pencatatan digital menawarkan kemudahan akses, keamanan, dan integrasi lintas platform. Teknologi ini meningkatkan produktivitas, mengurangi risiko kehilangan data, serta mendukung kolaborasi dan pengambilan keputusan yang lebih cerdas dan berbasis data. Salah satu aplikasi pencatatan digital terbaik saat ini adalah Notion yang berfungsi layaknya "otak kedua" untuk mengelola informasi secara terstruktur. Dengan fitur database, template fleksibel, dan integrasi multitasking, Notion membantu mengatur tugas, catatan, dan proyek secara efisien. Aplikasi ini memungkinkan pengguna menyimpan, mengedit, dan mengakses data kapan saja, sehingga meningkatkan produktivitas dan keteraturan dalam bekerja maupun belajar. Kegiatan pengabdian kepada masyarakat ini dilaksanakan pada hari Senin tanggal 24 Februari 2025 melalui penyelenggaraan pelatihan yang ditargetkan kepada siswa/i Sekolah Menengah Atas Swasta Datuk Ribandang Makassar. Pelatihan ini bertujuan untuk mengenalkan dan memanfaatkan aplikasi Notion guna meningkatkan produktivitas siswa/i dalam belajar melalui pencatatan, pengelolaan tugas, dan pengorganisasian materi secara digital. Metode yang digunakan meliputi sesi penyampaian materi, sesi tanya jawab, dan kegiatan praktik. Hasil pelatihan menunjukkan bahwa penggunaan Notion memberikan manfaat besar bagi siswa/i. Mereka dapat mengatur catatan dengan lebih rapi, mengakses informasi dengan cepat, serta meningkatkan produktivitas dan kolaborasi. Notion membantu mereka belajar lebih terstruktur dan efisien dalam mengelola tugas akademik. Berdasarkan kuesioner pasca pelatihan, lebih dari 90% dari 21 peserta menyatakan bahwa penggunaan Notion dalam pembelajaran sangat bermanfaat, mudah dipahami, dan meningkatkan wawasan. Tanggapan positif ini menunjukkan efektivitas Notion dalam membantu siswa/i mengelola informasi dan meningkatkan produktivitas belajar. Kata kunci: notion; pencatatan digital; otak kedua; pengabdian masyarakat. AbstractIn this digital era, information has become an essential asset that must be managed efficiently. Digital note-taking offers ease of access, enhanced security, and cross-platform integration. This technology improves productivity, minimizes the risk of data loss, and supports smarter, data-driven collaboration and decision-making. One of the leading digital note-taking applications today is Notion, which functions like a "second brain" for managing information in a structured manner. With its database capabilities, flexible templates, and multitasking integration, Notion helps users efficiently organize tasks, notes, and projects. The application enables users to store, edit, and access data at any time, thereby enhancing productivity and organization in both work and study. This community service activity was conducted on Monday, February 24, 2025, in the form of a training session targeted at the students of Datuk Ribandang Private High School in Makassar. The training aimed to introduce and promote the use of the Notion application to boost students' productivity in learning through digital note-taking, task management, and material organization. The methods used included a presentation session, a Q&A session, and hands-on practice. The training results showed that the use of Notion provided significant benefits to the students. They were able to organize their notes more systematically, access information quickly, and enhance both their productivity and collaboration. Notion helped them manage academic tasks in a more structured and efficient way. Based on the post-training questionnaire, more than 60% of the 21 participants stated that using Notion in learning was highly beneficial, easy to understand, and expanded their insights. This positive feedback indicates the effectiveness of Notion in helping students manage information and improve their learning productivity. Keywords: notion; digital notetaking; second brain; community service.
Co-Authors . Darniati Andi Harmin Andika, Farid Faizal, Muhammad Rahmat Hidayatul Fajri Ida Mulyadi Moeis, Dikwan Muhammad Faisal Nasir Usman Nur Ramadhan, Nur Sarumpaet, Calvin Bonar Sitorus, Kasirun Tandililing, Mika Yunarti, Sry