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Penjadwalan perkuliahan dengan model integer linear programming di teknik logistik universitas pertamina
Iskandar, Yelita Anggiane
; Khairunnisa, Nazihah
; Hartono, Wardaningtyas Nazarany
; Hartono, Werdaningtyas Evivani
; Afdiyan, Hafidz Al
; Liperda, Rahmad Inca
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 2
(2025)
Penjadwalan perkuliahan yang memuaskan semua pihak seringkali tidak mudah untuk dilakukan. Fenomena ini terjadi secara berulang setiap semester baru akan dimulai. Ada banyak keterbatasan dan kendala yang perlu dipertimbangkan agar jadwal yang optimal dapat disusun, antara lain jumlah dosen, pemetaan keahlian terhadap mata kuliah, dan ketersediaan ruang yang terbatas. Penelitian ini berfokus pada penyelesaian permasalahan penjadwalan kuliah di Program Studi Teknik Logistik Universitas Pertamina....
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Pengaruh Citra Merek, Desain Produk, dan Harga Terhadap Keputusan Pembelian Produk Bata di Kota Bima
Populer: Jurnal Penelitian Mahasiswa
Vol 4
, No 2
(2025)
The intense competition in the footwear industry requires companies to adopt effective marketing strategies to influence consumer purchasing decisions. This study aims to analyze the effect of brand image, product design, and price on consumer purchasing decisions for Bata products in Bima City. A quantitative approach was applied, with a sample of 96 respondents selected using accidental sampling. Data were collected through questionnaires and analyzed using validity tests, reliability tests, m...
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Penentuan Metode Augmentasi pada CNN Berdasarkan Metode Optimasi Fox untuk Klasifikasi Citra Ikan
Wahyudi, Firman
; Nugraini, Siti Hadiati
; Soeleman, Arief
; Pramunendar, Ricardus Anggi
; Andono, Pulung Nurtantio
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Automatic identification of fish species plays an important role in various fields such as conservation biology, fisheries management, and biological research. The Convolutional Neural Network (CNN) method has become an effective solution for automating this process using digital images. However, achieving high accuracy requires careful consideration of factors such as the quantity and quality of data, image preprocessing methods, feature extraction techniques, classification algorithms, and opt...
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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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Comparative Analysis of Classification Models for Competencies Certification: A Data Mining Approach
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
This study elaborates the application of various machine learning (ML) algorithm models to identify the classification of employee competency to take the competency certification needed to support the work. The goal is to choose the best ML model to improve accuracy, scalability, and fairness. The algorithms to be tested in this study are Logistic Regression, SVM, KNN, and Naive Bayes as traditional algorithms with Random Forest as an ensemble algorithm. This study took data from 13,830 employee...
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The Effect of Adding Turmeric Powder (Curcuma domestica Val.) and Patin Fish (Pangasius sp.) on the Physical, Chemical, and Preference Level of Fish Balls
Journal of Food and Agricultural Product
Vol 5
, No 2
(2025)
Turmeric is a spice that contains curcuminoid compounds with various benefits for body health. Meatballs are a food that is loved by the community and is generally made from beef. Beef has high levels of cholesterol and saturated fatty acids. The use of catfish has the advantage of being cheaper and lower in cholesterol and the addition of turmeric is expected to produce meatballs that have antioxidant activity. The purpose of that study was to determine the effect of the addition of turmeric p...
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