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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar The Indonesian Journal of Computer Science Jurnal Cakrawala Akademika
Bela Agustina
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Peran Studi Kelayakan dalam Mendukung Keberlanjutan Bisnis Bela Agustina; Aril Agustian; Fersa Kahirani
Jurnal Cakrawala Akademika Vol. 2 No. 1 (2025): Edisi Juni 2025
Publisher : PT. Pustaka Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70182/jca.v2i1.550

Abstract

Penelitian ini mengkaji peran studi kelayakan dalam mendukung keberlanjutan bisnis, terutama dalam konteks ekonomi syariah dan pengembangan UMKM. Melalui pendekatan literatur dan studi pustaka, penelitian ini menyoroti pentingnya evaluasi menyeluruh terhadap aspek ekonomi, sosial, dan lingkungan yang sesuai prinsip-prinsip syariah. Hasil analisis menunjukkan bahwa proses studi kelayakan yang komprehensif dapat mengurangi risiko kegagalan usaha, memperkuat pengambilan keputusan strategis, serta memastikan keberlanjutan jangka panjang bisnis berbasis syariah. Selain aspek finansial, faktor keberlanjutan sosial dan ekologis serta pengawasan Dewan Pengawas Syariah menjadi kunci utama dalam memastikan kegiatan usaha sesuai dengan prinsip keadilan, keberkahan, dan etika bisnis Islam. Meskipun penelitian ini bersifat konseptual, diharapkan dapat menjadi dasar pengembangan kerangka evaluasi yang lebih aplikatif dan adaptif terhadap tantangan global dan dinamika pasar masa depan.
Penerapan Deep Learning pada Sistem Klasifikasi Tumor Otak Berbasis Citra CT Scan Bela Agustina; Auliya Rahman Isnain
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3989

Abstract

Brain tumor detection and classification is an important challenge in the medical field that requires a fast and accurate solution. In this study, we propose the application of Deep Learning to a CT scan image-based brain tumor classification system. We use DenseNet as the base model and train it using CT scan image dataset to distinguish between positive class (brain tumor) and negative class (no brain tumor). In addition, we conducted a series of experiments with varying number of epochs to understand the development of the model's performance during the training process. The evaluation results show that our model achieved the highest accuracy of 0.92 at epoch 100, with precision, recall, and F1 score stabilizing at high values. Although there are fluctuations in performance at some stages of training, the model still shows stable performance overall. These findings suggest that the application of Deep Learning can be an effective tool in supporting the diagnosis of complex brain diseases.
PENERAPAN MODEL PEMBELAJARAN MAKE A MATCH TERHADAP HASIL BELAJAR IPAS SISWA KELAS IV SD NEGERI 26 LUBUKLINGGAU Bela Agustina; Akmal Rijal; Asep Sukenda Egok
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 In Order
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.32465

Abstract

This study aims to determine whether the application of the Make A Match learning model can improve the science learning outcomes of fourth-grade students at SD Negeri 26 Lubuklinggau. This research method used an experimental research method with a pre-test and post-test experimental design. Sampling was taken using a purposive sampling technique, considering that the population consisted of two classes. The sample in the study was 25 students of class IV.A. The instrument used by the researcher was a multiple-choice questionnaire with 15 questions. Data collection was carried out using a test technique. Data were analyzed using the t-test formula. Based on the results of the hypothesis test, the calculated t_value is then consulted with the t_(table) in the t distribution list with a significance level of α = 0.05 so that the calculated t_value> t_table (3.551> 1.714) is obtained. With this, H_0 is rejected and H_a is accepted. So it can be concluded that the Make A Match learning model can complete the science learning outcomes of fourth-grade students of SD Negeri 26 Lubuklinggau.
Co-Authors Akmal Rijal Aril Agustian Asep Sukenda Egok Auliya Rahman Isnain Fersa Kahirani