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Keanekaragaman Jenis Capung (Odonata) Pada Kawasan Wisata Alam Waduk Cacaban Di Kabupaten Tegal Provinsi Jawa Tengah
Edubioprena - Jurnal Ilmiah Pendidikan Biologi, Biologi, & Bioentrepreneurship
Vol 2
, No 1
(2025)
Abstrak – Capung (Odonata) merupakan serangga yang termasuk ke dalam ordo Odonata. Tingkatan takson di bawah ordo Odonata masih terdapat sub ordo lagi yaitu Anisoptera dan Zygoptera. Kawasan wisata alam Waduk Cacaban Kabupaten Tegal merupakan kawasan yang memiliki kondisi lingkungan sebagai tempat berkembangbiak bagi capung. Penelitian ini dilakukan pada bulan Maret 2022. Area penelitian di sekitar Waduk Cacaban meliputi 3 stasiun yaitu Stasiun I di tepi waduk, Stasiun II di persawahan di sekita...
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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 Word Of Mouth, Citra Merek, dan Brand Ambassador Terhadap Kepuasan Konsumen Pada Produk Le Minerale
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 3
, No 3
(2025)
This study aims to analyze the effect of Word of Mouth (WOM), brand image, and brand ambassador on consumer satisfaction with Le Minerale in Wonodadi District, Blitar Regency. A quantitative approach with a descriptive design was applied. The study involved 128 respondents selected through accidental sampling. The research instrument was a four-point Likert scale questionnaire tested for validity and reliability before use. Data were analyzed using SPSS version 27, including validity and reliabi...
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The Effect of the SSPBLS Model Using Quizizz Media on the Learning Outcomes of High School Students on Digestive System Materials
JOURNAL OF BIOLOGY LEARNING
Vol 7
, No 2
(2025)
This study aims to analyze the application of SSPBLS (Socio-Scientific Problem based Learning with Spiritual Value) on digestive system materials at SMA Muhammadiyah 1 Sragen for the academic year 2024/2025 and to find out whether this model can improve student learning outcomes. The type of research used is quantitative with experimental design. Data collection was carried out through learning outcome tests, observations, and interviews. Based on the results of the t-test, a significance value...
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Implementation Science Practical at SMP Negeri 1 Sambi, Boyolali, Indonesia
JOURNAL OF BIOLOGY LEARNING
Vol 7
, No 2
(2025)
Low frequency and minimal practicum facilities have become the main problems in the implementation of science learning at SMP Negeri 1 Sambi, Boyolali. According to the Minister of National Education Regulation Number 24 of 2007, the learning process requires facilities and infrastructure that support optimal implementation. The benefits of science practicum include increasing students’ motivation to learn science and providing opportunities for them to satisfy their curiosity through scientific...
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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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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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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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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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