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Exploration of Differences In Students Creative Thinking Abilities Viewed from Perspective Gender and Domicile: Rasch Model Analysis
JOURNAL OF BIOLOGY LEARNING
Vol 7
, No 2
(2025)
The purpose of this study was to explore differences in students creative thinking abilities based on gender and domicile. The research method used was descriptive quantitative. Sampling used proportional random sampling technique at Public Junior High Schools in South Konawe Regency. The research instrument used a creative thinking test as primary data. The data analysis technique used the winsteps program with scalogram analysis. The results showed that female students tended to be superior in...
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Sistem Prediksi Penggunaan Bahan Baku Berbasis Odoo pada UMKM Permak dan Jahit Hafizh menggunakan Metode Least Square
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Micro, Small, and Medium Enterprises (MSMEs) play a significant role in economic development, especially in developing countries like Indonesia. In addition to supporting the economy, MSMEs help alleviate unemployment. Hafizh Permak and Jahit, an MSME in Semarang City, faces challenges in managing raw material usage, which can increase production costs and the risk of overstocking or understocking. This study aims to develop a web-based raw material usage prediction system using Odoo and the lea...
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Pengaruh Konten YouTube terhadap Penerimaan Mahasiswa Baru: Studi Analisis Sentimen BERT dan Korelasi Spearman
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
This study aims to analyze the relationship between the number of videos, views, positive comments, negative comments, and neutral comments with the number of new students at higher education institutions during 2021–2024. The data were obtained from three sources: (1) quantitative data on the number of new students from LLDIKTI, (2) data on the number of videos and views from YouTube, and (3) sentiment data from comments classified using the BERT algorithm into positive, negative, and neutral c...
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Implementasi Algoritma K-Nearest Neighbor Dalam Prediksi Penyakit Jantung
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Heart failure is a serious and pressing health problem that affects millions of people worldwide. Several factors influence the occurrence of heart failure, such as age, type of pain, blood pressure, cholesterol levels, and other risk factors associated with heart disease. With current technological developments, data mining and machine learning can be used to predict patient health conditions. Therefore, the problem of this research is how to implement data mining techniques for identifying hea...
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Implementasi Metode Rapid Application Development pada Sistem Pencatatan Laporan Pick-Up dan Delivery Pakaian berbasis Android pada Hotel XYZ
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Laundry is one of the operational facilities in hotels. Hotel guests can use the laundry service to wash their clothes when staying at the hotel. One of the guests staying at the hotel is Airline Crew from various airlines. The current laundry system is not running well because there are still problems that occur, namely hotel guests sometimes do not completely fill out the list form in the hotel room, such as not filling in the room number and incompletely filling in the clothes to be laundered...
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Pengembangan Aplikasi Pemesanan Menu Café dengan Metode Agile
winanti, winanti
; Darmawan, Dwiky
; Yusuf, Yusuf
; Tama, Ardy Riyantai
; Widiyanti, Dian
; Sa’adah, Fitria
; Septian, Indra
; Basuki, Sucipto
; Jumiran, Jumiran
; Nurasiah, Nurasiah
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The ordering system at Café XYZ is still carried out conventionally where customers must come directly to the café so that service is slow if there is a long queue. The purpose of developing a Café menu ordering application is to simplify and speed up the café menu service and check order reports that can be done in real time. The data collection method is carried out by direct observation at Café XYZZ. The application development uses the Agile method, and a website-based system. Application te...
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Integrasi Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Pendukung Keputusan Penentuan Asisten Dosen
Muthmainnah, Aindri Rizky
; Pamput, Jessicha Putrianingsih
; Adiba, Fhatiah
; Surianto, Dewi Fatmarani
; Nasrullah, Asmaul Husnah
; Budiarti, Nur Azizah Eka
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The selection of teaching assistants requires an objective and effective decision-making system. This study designs a decision support system for selecting assistants in the Algorithm and Basic Programming course at JTIK, Universitas Negeri Makassar, by integrating the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. WP assigns weights to evaluation criteria, while TOPSIS identifies the best candidates based on positive and negative ideal...
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Perbandingan Apache Airflow dan Apache Spark dalam Proses ETL untuk Memprediksi DropOut dan Keberhasilan Akademik Mahasiswa
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Dropout prediction in higher education is important because it impacts the academic success of students and the overall effectiveness of educational institutions. This research aims to build an automated ETL pipeline using Apache Airflow and Apache Spark to process academic data and predict student graduation status. The dataset used consists of 4,424 samples with 36 features covering demographic, academic, and socio-economic attributes. The data is processed through the stages of extraction, tr...
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Comparative Study of Recurrent Neural Network (RNN) and Extreme Learning Machine (ELM) in Predicting Bank Central Asia’s Stock Price
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Predicting stock prices is an important financial topic, especially for investors who want to maximize profit and minimize risk. This research compares two machine-learning capabilities, a Recurrent Neural Network (RNN) and an Extreme Learning Machine (ELM), in predicting Bank Cental Asia (BBCA) stock prices. These two are chosen for their capabilities in handling time-series data. This research uses the data of BBCA’s daily prices over a certain period and involves several steps such as data co...
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Deteksi Jenis Jerawat Berbasis Android menggunakan Ensemble Deep Learning dengan Optimasi Layer Parsial
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Accurate classification of acne types is essential for determining the appropriate treatment. This study developed an automatic detection system based on Android using an ensemble Deep Learning approach and partial layer optimization to address the visual similarity challenges among different acne types. MobileNet and EfficientNetB0 were used as base models, then combined using majority voting and weighted averaging techniques. The dataset used consisted of 6,875 acne images that underwent prepr...
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