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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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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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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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Pemilihan Dosen Pembimbing Berdasarkan Judul Skripsi Mahasiswa menggunakan Metode Cosine Similarity
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The process of selecting a thesis advisor that aligns the thesis topic with the advisor's area of expertise will greatly assist in the thesis preparation process for students. However, in reality, the process of determining the thesis advisor is often not based on the advisor's area of expertise. The process of determining the thesis advisor is often done manually and inefficiently, which can lead to a mismatch between the advisor's area of expertise and the student's thesis topic. From this pro...
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Pengenalan Karakter Tulisan Tangan pada Dokumen Berita Acara Bimbingan Skripsi menggunakan Preprocessing dan YOLOv8
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Handwritten character recognition is one of the challenges in the field of digital image processing, especially in academic documents such as thesis guidance minutes. This study aims to compare the performance of the YOLOv8 model in detecting handwritten characters on two types of datasets, namely original images and preprocessed images. Preprocessing is carried out through the stages of grayscale, CLAHE, Gaussian blur, adaptive thresholding Gaussian, dilation, and erosion. Labels in the preproc...
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Exploration of Chlorella Sp. Microalgae Oil Extraction Method for Biodiesel Production
Journal of Food and Agricultural Product
Vol 5
, No 2
(2025)
The decline in the availability of fossil fuels has driven the need for more sustainable alternative energy sources. Microalgae, particularly Chlorella sp., is one of the potential biomasses for biodiesel production due to its high lipid content, rapid growth, and lack of competition with food crops. This article aims to comprehensively review various methods of oil extraction from Chlorella sp. and assess their effectiveness and challenges to support the use of microalgae as a raw material for...
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