Vol. 3 No. 1 (2023): Jutisal Jurnal Teknik Informatika Universal
Published:
2023-03-30
Articles
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Rancang Bangun Sistem Informasi Pengelolaan Data Alumni Berbasis Web Dengan Fitur Tracer Study Untuk Lulusan AMIK Universal
Lusi Victoria Lumbangaol Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Muhammad Eka Zuwanda Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Harsinah Yohanni Tumanggor Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Imam Surbakti Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Nova Legahati Siregar Program Studi Akuntansi Perpajakan, Akademi Manajemen Informatika Komputer Universal Indonesia , Nirma Rosalia Program Studi Akuntansi Perpajakan, Akademi Manajemen Informatika Komputer Universal IndonesiaAlumni data management and tracer study are crucial aspects in higher education institutions to evaluate the quality of graduates and curriculum relevance. AMIK Universal, as one of the higher education institutions in Medan, still relies on manual methods using Google Forms and Microsoft Excel for alumni data collection, which results in unstructured data, duplicate entries, and difficulties in generating accurate reports. This study aims to design and build a web-based alumni data management information system with tracer study features to improve the quality of graduates at AMIK Universal. The system was developed using the Waterfall methodology, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system features alumni data management, digital tracer study questionnaire, alumni dashboard, admin dashboard, statistical reports, job vacancy information, and notifications. Data were collected through interviews with alumni and administrative staff, as well as observation of the existing alumni data management process. Testing was conducted using Black Box Testing and User Acceptance Testing (UAT) with 30 respondents. The results show that the system successfully reduces alumni data collection time from 30 days to 7 days, improves data accuracy from 65% to 92%, and achieves a user satisfaction score of 4.38 (very good category). This study concludes that the web-based alumni management system with tracer study is effective in supporting the improvement of graduate quality and can be implemented in other higher education institutions.
Pages: 1-11Views: 0 Downloads: 0Rancang Bangun Sistem Informasi Smart Farming Berbasis Web Untuk Monitoring Kondisi Tanaman Hidroponik Menggunakan IoT dan Algoritma Decision Tree
Imam Setiawan Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Fatimah Zuhra Hasibuan Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Dea Nita Deslia sar Program Studi Manajemen Informatika, Akademi Manajemen Informatika Komputer Universal Indonesia , Fachrun Nissa Program Studi Akuntansi Perpajakan, Akademi Manajemen Informatika Komputer Universal Indonesia , Mega Hasibuan Program Studi Akuntansi Perpajakan, Akademi Manajemen Informatika Komputer Universal Indonesia , Aprima Matondang Program Studi Teknik Informatika, Akademi Manajemen Informatika Komputer Universal IndonesiaHydroponic farming has emerged as an innovative solution to address land scarcity and food security challenges in urban areas. However, maintaining optimal nutrient concentrations and environmental conditions in hydroponic systems requires continuous monitoring and precise decision-making. This study aims to design and build a web-based smart farming information system for monitoring hydroponic plant conditions using IoT sensors and Decision Tree algorithm. The system integrates pH sensors, TDS (Total Dissolved Solids) sensors, and temperature sensors connected to a microcontroller for real-time data collection. The Decision Tree algorithm is employed to classify plant conditions into three categories: healthy, nutrient-deficient, and critical. The system was developed using the Waterfall methodology, consisting of requirements analysis, system design, implementation, testing, and maintenance. Data were collected through laboratory experiments with samhong mustard (Brassica sinensis L.) over a 30-day growth period. Testing was conducted using Black Box Testing and User Acceptance Testing (UAT) with 30 respondents. The results show that the Decision Tree algorithm achieves 94.5% accuracy in classifying plant conditions, the system successfully reduces nutrient monitoring time by 70%, and achieves a user satisfaction score of 4.38 (very good category). This study concludes that the integration of IoT and Decision Tree in a web-based information system is effective for hydroponic monitoring and can be implemented for precision agriculture.
Pages: 12-22Views: 0 Downloads: 0
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Jutisal Jurnal Teknik Informatika Universal is a peer-reviewed academic journal that publishes scientific research and scholarly works in the field of Informatics and Computer Science.
e-ISSN: 2797-9512
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AMIK Universal
Jl. Setia Budi No. 20 A-D, Simpang Pemda, Tanjung Sari, Medan, Provinsi Sumatera Utara.
Email: admin@jurnal.universal.ac.id
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