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All Journal Jurnal Pilar Nusa Mandiri Indonesian Journal of Information System Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Jurnal Ilmiah Media Sisfo Jurnal Tekno Kompak Bantenese Jurnal Pengabdian Masyarakat Building of Informatics, Technology and Science BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences ABDIMAS Jurnal Pengabdian Kepada Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Software Engineering and Multimedia (JASMED) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma IJCOSIN : Indonesian Journal of Community Service and Innovation
Usman, Muhammad Lulu Latif
Universitas Telkom
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
LANDSLIDE HAZARD MAPPING USING THE SCORE AND WEIGHT METHOD IN BANJARNEGARA Muhammad Lulu Latif Usman; Bita Parga Zen; Zulfina Wiria Ananda; Siti Roqayah; Lintang Cahya Mulyadani; Bunga Laelatul Muna; Aprilia Intan Prasetya
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.638

Abstract

Banjarnegara has a category of high or very vulnerable landslide susceptibility, according to data from the National Disaster Management Agency from 2006 to 2021, there has always been at least 1 landslide disaster in Banjarnegara. As a step in disaster reduction in Banjarnegara, a landslide hazard analysis was carried out. The methodology used is scoring and weighting using 4 indicators of rainfall, geology, land use, and slope. Landslide susceptibility is measured by calculating the total score which is then categorized based on the total score. The landslide susceptibility category is divided into 4 categories, namely Very Low, Low, Medium, and High. Areas with high vulnerability category have a proportion of 0.06% with an area of 682,073 m2, Medium has a proportion of 55.51% with an area of 625,539,155 m2, and Low has a proportion of 44.43% with an area of 500,730,369 m2. The results of the landslide hazard map can then be used as a reference for the Regional Disaster Management Agency to reduce the risk of landslide vulnerability.
Implementation of Agile Method and Apriori Algorithm for Recommendation System in Outdoor Equipment Rental Services Elfreda, Raditya Prama; Usman, Muhammad Lulu Latif
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5567

Abstract

Drop Outdoor Purwokerto faces inefficiencies in its outdoor equipment rental process, where customers are required to visit the store directly to check item availability, often resulting in miscommunication and suboptimal transaction management. To address this issue, this study aims to design and develop a web-based outdoor equipment rental information system that enables real-time availability checking and efficient online booking. The system is developed using the Agile methodology to accommodate dynamic user requirements and iterative system improvements. In addition, the Apriori algorithm is implemented to analyze historical rental transaction data and generate item recommendations based on association rule mining. The analysis results indicate that several outdoor equipment items exhibit strong association patterns, with the highest lift value exceeding 1, signifying meaningful relationships beyond random co-occurrence. These patterns are utilized as the basis for the recommendation feature within the system. Functional testing using Black Box Testing shows that all system features operate as expected, achieving a 100% success rate across tested scenarios, including transaction processing, cart management, and recommendation display. The findings demonstrate that integrating the Agile development approach with Apriori-based data mining can effectively support data-driven decision-making in outdoor equipment rental services. This study contributes to the development of recommendation systems for small and medium-sized rental businesses by highlighting the practical application of association rule mining on rental transaction data, which exhibits characteristics distinct from conventional retail datasets.
Co-Authors Agung Al Rasyid Akhmad, Fajar Kamaludin Aprilia Intan Prasetya Aris Poniman Bita Parga Zen Bunga Laelatul Muna Dasril Aldo Dedy Agung Prabowo Dyah Susanti Elfreda, Raditya Prama Emyliana Listiowati Fauzan, Fikrian Akmal Fifing Fifing Halimil Fathi Herdianto, Bachtiar Hutama, Iqbal Yoga Krisna Subarkah Lintang Cahya Mulyadani Luthfiyah Sakinah Marsally , Silvia Van Marsally, Silvia Van Muhamad Azis Muhamad Azrino Gustalika Muhammad Nugraha Muna, Bunga Laelatul Musawarman, Mr. Nopi Rahmawati Nugraha, Varrel Bramasta Pratama, Boby Mugi Rachman, Ari Rafie, Muhammad Iqbal Ainu Rafika Nur, Yohani Setiya Rahayu, Widya Andayani Rakhma, Nazwa Aulia Ramadhani, Ike Fitria Ratih Windu Arini Rehita Hasian Batubara Rian Ajie Pangestu Rizky Amelia Salsabila Fitrania Utami Salsabilla, Hanin Silvia Van Marsally Siti Roqayah Sri Lestari Sudianto, Sudianto Sumantry, Diptya Bagus Supriyadi, Asep Adang Syam, Siti Nur Fadilah Tiawan Tiawan Tiawan, Tiawan Totok Agung Dwi Haryanto Utami, Annisaa Wibowo, Fahrudin Mukti Wicaksono, Apri Pandu Wijaya, Reza Irfan Wijaya, Satria Dhaniswara Rahsa Yohani Setiya Rafika Nur Zulfina Wiria Ananda