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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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Pemanfaatan Tumbuhan Sebagai Obat Tradisional Oleh Masyarakat Kecamatan Tambakromo Kabupaten Pati
Edubioprena - Jurnal Ilmiah Pendidikan Biologi, Biologi, & Bioentrepreneurship
Vol 2
, No 1
(2025)
Abstrak – Tambakromo adalah sebuah kecamatan di kabupaten Pati, Jawa Tengah, Indonesia. Potensi tumbuhan obat di kecamatan Tambakromo kabupaten Pati cukup banyak, hal ini ditunjukan dengan masih banyaknya praktik pengobatan tradisional dalam kehidupan sehari-hari. Tujuan penelitian adalah mengetahui pemanfaatan tumbuhan obat oleh masyarakat kecamatan Tambakromo kabupaten Pati. Penelitian dilakukan pada bulan Mei – Juni 2021. Pengambilan data dilakukan dengan metode wawancara semiterstruktur. Ada...
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Analisis Kesadaran Siswa Terhadap Edukasi Seks Berdasarkan Pemahaman Materi Sistem Reproduksi
Edubioprena - Jurnal Ilmiah Pendidikan Biologi, Biologi, & Bioentrepreneurship
Vol 2
, No 1
(2025)
Abstrak – Pada fase remaja dorongan seksual mulai muncul dalam diri individu. Pada fase ini pula individu mudah gamang dan goyah serta belum memiliki kestabilan mental sehingga pada fase ini individu memerlukan pembelajran edukatif seperti edukasi seks melalui pembelajaran sistem reproduksi. Oleh karena itu penelitian ini bertujuan untuk mengetahui tingkat kesadaran siswa terhadap edukasi seks dan kaitannya dengan tingkat pemahaman siswa terhadap materi sistem reproduksi. Penelitian ini merupaka...
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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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Penerapan Metode Double Moving Average Untuk Memprediksi Penjualan Tiket Bus Sinar Jaya Po Tambun
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The Sinar Jaya Autobus Company (PO) is one of the buses engaged in the tourism business that sells and provides community needs such as bus tickets. This PO requires forecasting in data processing to produce accurate reports. The reason for this is because PO Bus Sinar Jaya in determining the demand for bus tickets cannot predict availability. Based on these reasons, the design of this system uses the Double Moving Average (DMA) forecasting method for the forecasting process in determining the a...
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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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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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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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Enhancing Learning Outcomes Through the Development of Project-Based Student Worksheet for Class XI MIPA Students in Science Subjects
Radiasi: Jurnal Berkala Pendidikan Fisika
Vol 18
, No 2
(2025)
This research was motivated by some students who said that physics is not fun. Students expect physics learning to be equipped with a practicum directly according to the material to be studied. To create a good interaction, creativity between students is necessary. One of them is by developing teaching materials in the form of PjBL-based LKPD for class XI MIPA students. The PjBL-based learning model actively engages students to develop their own knowledge and includes group work to create projec...
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