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All Journal Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Infotek : Jurnal Informatika dan Teknologi Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Sekarlangit
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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Implementasi Metode RAD pada Sistem Informasi Manajemen Penelitian, Pengabdian Masyarakat dan Luaran Siska Narulita; Sekarlangit; Ahmad Nugroho; M. Zakki Abdillah
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28232

Abstract

Higher education institutions frequently struggle to manage research, community service, and output data. Manual data and information management is prone to mistakes. It is challenging for leaders and stakeholders to monitor and evaluate performance. This study intends to address these issues by offering a platform that meets the needs of the Community Service Research Institute (LPPM), leaders, and stakeholders. The primary features produced are statistics on research, service, and output data, as well as report generating automation. This study employs RAD to create the system. The system developed has been declared functional based on the results of blackbox testing with equivalent partitions. According to the 91% usability testing estimate, users are pleased with the information system built, and the system is simple to use. This system's specific benefits and potential implications include improved data management efficiency, consolidated data access, accreditation and reporting support, and higher institutional reputation
Implementasi Metode Pengembangan Sistem Prototype pada Rancang Bangun Aplikasi Marketplace Lensa Buana Reynard Adelard; Richo Muthicahya; Evan Setiawan Wicaksono; Laurentius Kenneth V; Siska Narulita; Sekarlangit
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 2 (2025): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i2.424

Abstract

In line with the development of the digital potential of the creative economy, the demand for quality visual content from photography and videography industry players has also increased. However, access to quality photographers and videographers is still a problem for some people. Likewise, photographers and videographers also experience difficulties in getting clients. Photographers and videographers feel that the use of social media has not been maximized in helping them get clients. In addition to these problems, these photographers and videographers also have difficulty in disseminating the events held. To overcome this problem, researchers developed a digital platform that can accommodate the interests of photography and videography service providers, as well as the community of users of these services. The digital platform developed by researchers is named the “Lensa Buana” marketplace application. The development of the Lensa Buana marketplace application uses the prototype system development method. With this application, it is hoped that photography and videography service providers can reach more consumers, while the community as consumers can easily get photography and videography services according to their needs and desired quality.
OPTIMASI MODEL DETEKSI ALERGEN PADA PRODUK PANGAN DENGAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) DAN ADAPTIVE BOOSTING (ADABOOST) Siska Narulita; Sekarlangit; Milka Putri Novianingrum
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 19 No. 2 (2025): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v19i2.21316

Abstract

One important aspect that needs to be considered in food production is food safety. The implementation of this food safety aspect includes food products that avoid contamination of chemical, physical, and biological substances that can be harmful to human health. In the implementation of the Makan Bergizi Gratis (MBG) program, problems were found related to allergies in the recipients of this assistance program. According to the World Health Organization (WHO), food allergies are ranked as the fourth most serious public health problem, and the only effective treatment for allergy sufferers is to avoid foods that contain allergens. Allergens themselves are compounds or food ingredients that cause allergies and/or intolerances. Laboratory tests of food products for allergen testing that are still carried out traditionally require a lot of time and money, making food producers reluctant to carry out product testing. A way to detect allergen content in food products that is easier, more practical, and more accurate is needed. The research conducted aims to build a prediction model that can be used to detect allergen content in food ingredients through the implementation of the Support Vector Machine (SVM) data mining algorithm optimized with the Adaptive Boosting ensemble learning boosting algorithm (AdaBoost). The research conducted obtained a model that produces the most optimal performance, namely SVM optimized with the AdaBoost algorithm with the split validation method.
Co-Authors Ahmad Nugroho Evan Setiawan Wicaksono Laurentius Kenneth V M. Zakki Abdillah Milka Putri Novianingrum Reynard Adelard Richo Muthicahya Siska Narulita