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Kandungan Protein dan Cu Pada Yoghurt Kombinasi Susu Kacang Tolo (Vigna unguiculata L.) Dan Susu Sapi
Edubioprena - Jurnal Ilmiah Pendidikan Biologi, Biologi, & Bioentrepreneurship
Vol 2
, No 1
(2025)
Abstrak – Yoghurt yaitu susu difermentasi menggunakan biakan campuran L. bulgaricus dan S. thermophillus sehingga protein susu menjadi padat atau kental. Inovasi kombinasi susu kacang tolo dan susu sapi digunakan dalam bahan pembuatan yoghurt. Penelitian ini bertujuan untuk mengetahui pengaruh perbedan kombinasi susu kacang tolo dan susu sapi dalam kandungan protein dan Cu. Hasil penelitian menunjukkan ada pengaruh pada kombinasi susu kacang tolo dan susu sapi dalam pembuatan yoghurt terhadap ka...
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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 Miskonsepsi Siswa SMA Negeri Se-Kabupaten Grobogan Pada Konsep Sel (Jenis Sel, Ukuran, Struktur, dan Fungsi)
Edubioprena - Jurnal Ilmiah Pendidikan Biologi, Biologi, & Bioentrepreneurship
Vol 2
, No 1
(2025)
Abstrak – Penelitian ini bertujuan untuk menganalisis miskonsepsi siswa pada konsep sel di SMA Negeri se-Kabupaten Grobogan. Teknik sampling dalam penelitian ini yaitu Proportionate Stratified Random Sampling. Soal tes menggunakan instrumen berdasarkan AAAS Science Assesment (http://assesment.aaas.org) Subjek penelitian ini adalah siswa SMA Negeri kelas XI MIPA di kabupaten Grobogan dengan jumlah sampel 336 siswa. Data dianalisis secara statistic deskripti. Hasil penelitian menunjukkansiswa SMA...
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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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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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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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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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