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All Journal Briliant: Jurnal Riset dan Konseptual Jurnal Teknologi Sistem Informasi dan Aplikasi Building of Informatics, Technology and Science Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics MEANS (Media Informasi Analisa dan Sistem) Idealis : Indonesia Journal Information System Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pengabdian Masyarakat Bangsa SmartComp EduBase: Journal of Basic Education PASAI : Jurnal Pengabdian kepada Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Somantri, Somantri
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Journal : Building of Informatics, Technology and Science

 1 
Implementasi Sistem Rekomendasi dengan Content Based Filtering dan Teknologi Virtual Tour Untuk Strategi Pemasaran Pada Website Insany, Gina Purnama; Somantri, Somantri; Amalia, Phina Putri
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5358

Abstract

The real estate business is rapidly developing, supported by a stable economy and increased purchasing power of the public, which triggers intense competition in the property industry. Consequently, many companies are striving to offer modern solutions. Prospective buyers often struggle to choose a house that suits their needs due to the plethora of options, while real estate companies face challenges in providing attractive and comprehensive information. Solutions like a recommendation system with Content-Based Filtering and Virtual Tour technology offer innovative approaches that make it easier for consumers to select a house and enhance marketing strategies on the Setiabudi Land website. This recommendation system provides suggestions according to user characteristics and preferences with inputs such as age, marital status, number of children, monthly income, desired facilities, and environmental preferences. The output includes recommendations on the name of the housing complex, type, and model of the house. On the other hand, Virtual Tour offers a realistic visual experience, allowing consumers to view properties virtually without having to visit the physical location, showcasing the living room, family room, 2 bedrooms, 1 bathroom, and 1 kitchen. Evaluation results of the recommendation system's performance show accuracy, precision, recall, and F1-score levels in the range of 92-93%, while functionality tests of the Virtual Tour run smoothly. User Acceptance testing reached 88.66%, indicating a high level of user satisfaction with the recommendation system and virtual tour features.
Implementasi Algoritma Branch and Bound Pada Aplikasi Mobile Pemandu Wisata Untuk Pengembangan UMKM Jawa Barat Sepriyadi, Adi; Sujjada, Alun; Somantri, Somantri
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5359

Abstract

Tourism is a crucial economic sector in Indonesia, contributing significantly to economic growth and foreign exchange. In 2022, the number of domestic tourist visits reached 734.86 million, up 19.82% from the previous year. East Java recorded the most visits with 198.91 million trips, followed by West Java (128.66 million) and Central Java (103.99 million). However, tourist destinations in West Java are less well known due to a lack of information, hampering tourism potential and the development of local MSMEs. To overcome this problem, an Android-based guide application was developed that integrates information on tourist destinations and MSMEs in West Java. This application uses the Branch and Bound algorithm to facilitate the selection of the closest route from tourist sites to several MSMEs efficiently and accurately. This research identifies the lack of information as the main obstacle to tourism development in West Java. Application development and testing showed the effectiveness of the Branch and Bound algorithm in determining the closest route. The implementation of this application increases access to tourist information and MSMEs, as well as the income of local MSME players related to tourism. The application is expected to contribute positively to the development of tourism and MSMEs in West Java and become a model for the development of similar applications in other regions in Indonesia.
Sistem Identifikasi Cerdas: Integrasi IOT dengan YOLOv8 Untuk Identifikasi Visual Kerusakan Dinding Bangunan Kamdan, Kamdan; Somantri, Somantri; Rohmat, Satria Rizki; Gumelar, Agung; Kharisma, Ivana Lucia
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7882

Abstract

Damage to non-structural building elements, particularly walls, can serve as an early indicator of more serious structural issues. Manual crack identification is often time-consuming, subjective, and lacks consistency. This study develops an automated identification system based on computer vision using the YOLOv8 architecture, integrated with Internet of Things (IoT) technology through the ESP32-CAM device. The system is designed to visually detect and classify wall damage into light, moderate, or severe categories based on field-captured images. The model was trained and evaluated using the confusion matrix metric to assess its classification performance. The test results show that the system achieved a solid performance with an mAP@50 score of 0.822 and a stricter mAP@50-95 score of 0.522, indicating the system’s strong capability in detecting damage objects with a good level of precision. The implementation of this system is expected to support building inspection processes in a more standardized, objective, and sustainable manner, and assist in decision-making regarding building maintenance and repair.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Agung Gumelar Alun Sujjada Amalia, Phina Putri Arief Muhammad Nurhasan Benedicta, Octavia Fatalifi, Amerjid Ghulamson Firdaos, Helfi Apriliyandi Hasanah, Nurul Islam Hermawan, Tina Haerani Inayah, Ismatun Insany, Gina Purnama Kamdan Kharisma, Ivana Lucia Malik, Julhan Abdul Maulana, Riko Maulana, Yosep Muhammad Syarif Hidayat Mustoip, Sofyan Nopiandi, Andi Prayoga, Rizki Haddi Puranti, Ayu Putra, Reza Rama Putri, Andini Wangsa Putriana, Akfi Tsani Qurotul Aini Renjani, Amelinda Rohmat, Satria Rizki Sepriyadi, Adi Sujjadai, Alun Sukardi, Evi Septiyani Yasa, Aditama Yasin, Fakhriyal Riyandi Zaman, Syamsul