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Implementasi Profile Matching pada Sistem Pendukung Keputusan Seleksi Peserta Tenda Kewirausahaan
Setiawan, Aries
; Nuryanto, Imam
; Mintorini, Ery
; Hidajat, Moch. Sjamsul
; Farida, Ida
; Widjajanto, Budi
; Prasetya, Jaka
; Lewa, Andi Hallang
; Karmila, Karmila
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
One of the programs from the Entrepreneurship Unit is the entrepreneurial tent participant program. In the manual assessment process, participant selection is only based on the type of entrepreneurial product that will be offered. However, this does not get maximum selection results because if the existing selection only uses one variable component and the assessment tends to contain elements that have no potential. One decision making method that has weight in its calculations is profile matchi...
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Model Hybrid Random Forest dan Information Gain untuk meningkatkan Performa Algoritma Machine Learning pada Deteksi Malicious Software
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
The evolution of malware, or malicious software, has raised increasing concerns, targeting not only computers but also other devices like smartphones. Malware is no longer just monomorphic but has evolved into polymorphic, metamorphic, and oligomorphic forms. With this massive development, conventional antivirus software is becoming less effective at countering it. This is due to malware's ability to propagate itself using different fingerprint and behavioral patterns. Therefore, an intelligent...
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Penerapan Recursive Feature Elimination (RFE) pada Tree-Based Classifier untuk Identifikasi Risiko Diabetes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
Diabetes mellitus is a common chronic disease with significant global impact. Early identification of individuals at high risk of developing diabetes is critical for the prevention and management of the disease. This study explores the use of Recursive Feature Elimination (RFE) in decision tree-based classifiers to improve the accuracy of diabetes risk prediction. The Pima Indians Diabetes Database (PIDD) dataset was used as the database, and algorithms such as Decision Tree, Random Forest, Grad...
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Deteksi Serangan Denial of Service (DoS) dan Spoofing pada Internet of Vehicles menggunakan Algoritma K-Nearest Neighbor (KNN)
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
The implementation of Internet of Things (IoT) technology in motor vehicles has been increasing over time and is known as the Internet of Vehicles (IoV). IoV is becoming more essential to society as it provides comfort, safety, and efficiency in driving. Unfortunately, the use of internet technology in IoV brings the potential for cyber-attacks, such as Denial of Service (DoS) and Spoofing. Intrusion Detection Systems in IoV have not yet fully matured, as this technology is still relatively new....
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The effect of modified kepok banana (Musa acuminata) starch substitution on the texture and color of steamed brownies
Journal of Food and Agricultural Product
Vol 4
, No 2
(2024)
One food component that can act as a functional food ingredient is resistant starch. Kepok bananas are a food source that has the potential to produce resistant starch and can be processed to produce food products. Method autoclaving cooling Kepok banana flour has the potential to increase the resistant starch content. This research aims to determine the effect of modified kepok banana starch substitution on texture (hardness, cohesiveness, adhesiveness and gumminess) and color (L, a and b value...
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Rancang Bangun Sistem Informasi Manajemen Organisasi Kemahasiswaan Berbasis Web di UNISNU Jepara
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
In today's digital era, Management Information Systems are becoming increasingly important for organizations and businesses. Management Information Systems can help organizations remain competitive and thrive in an increasingly complex and dynamic era. However, in student organizations within Unisnu Jepara, the management process is still carried out with manual practices and using paper media. Where writing on paper media requires a lot of time and energy, moreover the need for information in t...
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The effect of proportion of soy milk with sweet corn milk on physicochemical and organoleptic properties of vegetable ice cream
Journal of Food and Agricultural Product
Vol 4
, No 2
(2024)
The purpose of this study was to determine the effect of proportion of soy milk with sweet corn milk on physicochemical and organoleptic properties of vegetable ice cream. The design used a completely randomized block design with 5 treatments and 4 replications. Treatment were proportion of soy milk with sweet corn milk i.e. P1 (100%: 0%), P2 (75%: 25%), P3 (50%: 50%), P4 (25%: 75%) and P5 (0%: 100%). Parameters observed included protein content, total dissolved solids, overrun, resistance, colo...
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Implementasi Business Intelligence untuk menganalisis Perkembangan Akademik Mahasiswa di Program Studi Sistem Informasi UNISNU Jepara
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
This research aims to build a Business Intelligence (BI)-based academic monitoring system in the Unisnu Jepara Information Systems Study Program to improve the efficiency and quality of decision making. The method used involves analyzing student academic data with the help of Microsoft Power BI for data processing. Data is taken from the Academic Information System (SIAKAD) and processed to produce visualizations in the form of informative dashboards. The research results show visualization of a...
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The effect of composition purple sweet potato flour (Ipomoea batatas L.) and wheat on the physical, chemical and sensory properties in cookies
Rahmalia, Rekha Rizky
; Yuliani, Ririn
; Yuanda, Afifah Nurfadyah Islami Yuanda
; Khoerunnisa, Farah
; Sari, Yuli Perwita
Journal of Food and Agricultural Product
Vol 4
, No 2
(2024)
Cookies are a type of biscuit made from soft dough, high in fat content, relatively crispy when broken, and have a dense cross-sectional texture. The significantly increasing data on wheat flour consumption indicates a very high level of dependence on wheat flour. This is due to the high number of processed food products using wheat flour, necessitating the utilization of flour from local raw materials to explore local potential, one of which is by partially replacing wheat flour with purple swe...
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Analisis Pengaruh Media Sosial terhadap Produktivitas Akademik Mahasiswa menggunakan Metode Decision Tree dan Random Forest
Murwaningtyas, Chatarina Enny
; Kristiamita, Angel
; Putri, Agatha Lintang Antika Ika
; Puspaningrum, Fibelia Dwi
; Mahanani, Carolina Dhinda Putri
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
This study aims to evaluate the impact of social media usage on the academic productivity of Universitas Sanata Dharma Yogyakarta students, measured through their Grade Point Average (GPA). The methods employed involve two machine learning models: Decision Tree and Random Forest. The data were processed using outlier-resistant scaling techniques and data balancing through oversampling. The results show that the Random Forest model outperformed with an accuracy, precision, recall, and F1-score of...
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