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Dedi Sufriadi
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UNIVERSITAS SERAMBI MEKKAH Jl. Tgk. Imum Lueng Bata, Bathoh, Banda Aceh, Indonesia 23245
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Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Published by Universitas Serambi Mekkah Aceh
ISSN : 3032601X     EISSN : 30327105     DOI : https://doi.org/10.32672/mister
Core Subject : Economy, Humanities, Education, Social,
Humanities Economics, Econometrics & Finance Education Social Sciences Other
The Journal of MISTER (Jurnal Penelitian Multidisiplin dalam Ilmu Pengetahuan, Teknologi dan Pendidikan) focuses on publishing manuscripts of any research (multidisciplinary) within the following areas Education, Economics, Social Sciences, Technology, Engineering, Arts, Law & Ethics, Psychology, Islamic & Religious Studies, Health & Medicine, and Environment & Sustainability.
Arjuna Subject : Umum - Umum
Articles 672 Documents
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Analisis Jaringan Syaraf Tiruan Menggunakan Algoritma Hebb Rule Untuk Mengetahui Serta Diagnosa Penyakit pada Tanaman Cabai Rahma Nasution, Luftia; Sofinah Harahap, Lailan; Kartika Dewi, Aulia
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2322

Abstract

Chili is a plant that belongs to plants that come from the solanacae family group (a type of eggplant tribe). The presence of plant diseases in chili plants can cause a decrease in chili production and even the death of chili plants. One of the causes of plant diseases is pathogenic fungi that can exist in seeds, soil, or air, even in vector insects. Diseases of chili plants due to pathogenic fungi are often difficult to overcome. This can be caused by, among other things, the degree of malignancy or fungus, the susceptibility level of the chili plant, and the support of appropriate environmental factors. Therefore, it is necessary to recognize every chili plant disease due to many causes so that decisions can be made to prevent or manage it appropriately. Therefore, the method used in analyzing the diagnosis in chili plants is the hebb rule method algorithm where this method regulates the weight value where this weight will process the completion of the diagnosis.
Optimasi Penjadwalan Produksi dengan Jaringan Syaraf Tiruan dan Algoritma Genetika Siregar, Dzilhulaifa; Sofinah Harahap, Lailan; Fadlan Alamsyah, Muhammad
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2324

Abstract

Optimal production scheduling is essential to improve operational efficiency in the manufacturing industry. This study proposes a combination of Neural Networks (NN) and Genetic Algorithms (GA) to solve production scheduling problems. NN is used to predict processing time based on historical data, while GA optimizes the production sequence to minimize idle time and increase throughput. Simulation results show that this combined method provides a more efficient scheduling solution compared to conventional methods.
Penerapan Multi-Layer Perceptron untuk Prediksi Durasi Tidur Berdasarkan Faktor Kebiasaan Harian Risdi Aulia, Rafif; Hidayat Lubis, Fitra; Sofinah Harahap, Lailan
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2326

Abstract

This study applies a Multi Layer Perceptron (MLP), a type of Artificial Neural Network (ANN), to predict sleep duration based on daily habits, including screen time, exercise, and caffeine intake. The methodology involves data preprocessing, MLP architecture design, hyperparameter tuning using Grid Search, and model evaluation. The final model configuration includes two hidden layers with 10 neurons each, utilizing the tanh activation function and adam optimizer with a learning rate of 0.1. The model evaluation on test data shows promising accuracy, with a Mean Squared Error (MSE) of 0.065 and Mean Absolute Error (MAE) of 0.204. These results indicate that the MLP model effectively captures complex patterns in the dataset and provides accurate sleep duration predictions. However, certain samples showed significant prediction discrepancies, suggesting the potential influence of unobserved factors, such as health conditions or stress. Further research could improve model performance by including additional features or exploring alternative models like Random Forest or Gradient Boosting.
Prediksi Nilai Mahasiswa Berdasarkan Riwayat Akademik Menggunakan Jaringan Syaraf Tiruan Fauzia Rahmadani, Noni; Nugroho, Agung; Sofinah Haharap, Lailan
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2327

Abstract

Predicting students' academic performance is crucial in enhancing the quality of education in higher institutions. This study aims to develop a model for predicting student grades based on academic history using Artificial Neural Networks (ANN) with the backpropagation method. Academic data and supporting variables from students are used as inputs in the model, which aims to forecast future academic achievements. In this research, the ANN was structured with a layered architecture consisting of 5 neurons in the input layer, one hidden layer with 7 neurons, and an output layer. The model was trained using the backpropagation algorithm to minimize Mean Square Error (MSE) and improve prediction accuracy. Testing results show that the ANN model achieved convergence with an MSE value of 0.01363 in 68 epochs. Based on these findings, the developed model can be utilized by academic advisors to monitor and predict students' academic progress. Overall, this research contributes to providing an effective data-driven tool for academic mentoring processes, supporting higher education institutions in optimizing students' potential for achieving maximal academic success.
Peran Regulasi dalam Mendorong Pengawasan ESG di Perusahaan Indonesia dan Kesiapan Infrastruktur Hukum Putri Zakia, Safira; Novelita Saharany, Alisa; Aulia Rohma Gafar, Adinda
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 4b (2024): OKTOBER (Tambahan)
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i4b.2330

Abstract

This article delves into the multifaceted role of regulatory frameworks in enhancing Environmental, Social, and Governance (ESG) oversight within Indonesian corporations, while critically assessing the adequacy of the existing legal infrastructure to support the implementation of sustainable practices. As global pressure mounts on companies to adhere to ESG principles, Indonesian firms face unique challenges, including a fragmented regulatory environment and varying levels of awareness among stakeholders regarding the importance of ESG compliance. This study investigates the alignment of national regulations with international ESG standards and evaluates the effectiveness of current legal mechanisms in promoting accountability and transparency. Furthermore, it analyzes the implications of insufficient regulatory guidance on corporate governance and the potential for investor confidence to wane in the absence of a cohesive legal framework. Through qualitative analysis and case studies, the research highlights best practices in ESG implementation and proposes actionable recommendations for policymakers to enhance the regulatory landscape. The findings underscore the urgent need for a holistic regulatory approach that integrates ESG considerations into the core governance framework, ultimately fostering sustainable business development in Indonesia.
Perlindungan Hukum Perbankan Terhadap Konsumen dalam Layanan Electronic Payment Melalui Penggunaan QRIS dalam Mendukung Ekonomi Digital Salma, Lina; Sinta Agustin, Mutiara; Sari, Chintia
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

QRIS (Quick Response Code Indonesian Standard) is a standardization policy from Bank Indonesia to set electronic payment standards in Indonesia, which aims to ensure security, convenience, and uniformity in digital transactions. QRIS uses the Merchant Presented Mode (MPM) system, where users simply scan the QRIS code at the merchant without the need to change the digital payment application they use, which makes transactions faster, easier, and safer, and provides practical solutions, especially for small businesses that can receive payments from all payment system service provider (PJSP) applications with one account. This research uses a normative juridical method by analyzing the laws and regulations governing QRIS, as well as its relevance to the protection of consumer rights. The results show, although QRIS provides various advantages in terms of ease of transactions and protecting consumers (in data security), its application is still not effective. One of the reasons is the low literacy about digital finance and the lack of public understanding of this policy. Thus, intensive efforts are needed in socialization and education, as well as stricter supervision of the implementation of security standards in transactions through QRIS.
Implementasi Multilayer Perceptron untuk Klasifikasi Berita Hoax dalam Media Sosial Amanda, Hervilla; Faiza, Nayla; Sofinah Harahap, Lailan
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2336

Abstract

The very fast dissemination of information via social media in the current digital era has facilitated the spread of fake news or hoaxes. Hoax news is false information, often created deliberately to spread or manipulate public opinion. The spread of hoaxes on social media can have serious impacts, such as public unrest. Therefore, automatic detection of hoax news is very important to maintain the integrity of information circulating in society. This research aims to implement the Multilayer Perceptron (MLP) algorithm in classifying news as "hoax" or "not hoax". The MLP algorithm works by learning from training data containing labeled news text. Based on certain patterns and features, this model is expected to be able to detect whether a piece of news is a hoax or not. The implementation of Perceptron for hoax news classification aims to provide a system that can help social media users filter information, so that it can support a healthier and more trustworthy social media ecosystem. This research uses data collection methods from various social media and news sites, data preprocessing, MLP model formation, system implementation, and model evaluation. The implementation results show that the MLP model is able to classify hoax news with an accuracy of 63.1%. It is hoped that these findings can contribute to the development of accurate and efficient hoax detection technology.
Perlindungan Hukum bagi Nasabah Bank Selaku Konsumen di Bidang Perbankan Rum, Gresia Wulaning; Aryana, Rizka Afi
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2338

Abstract

The role of banking as a financial intermediary institution is very important in economic development, but the bargaining position of customers is often weaker compared to the bank. Therefore, clear regulations are needed to protect the rights of customers. This article examines the role of the Consumer Protection Law (CPL) and other relevant regulations, including the role of the Deposit Insurance Corporation (DIC) and provisions in the Bank Indonesia Regulation (BIR) regarding customer complaint resolution and banking mediation. The study results indicate that legal protection for customers needs to be enhanced through the implementation of stricter regulations and more effective mediation processes to minimize the power imbalance between banks and customers.
Implementasi Jaringan Syaraf Tiruan (JST) untuk Mengenali Pola TandaTangan dengan Metode Backpropagation Farras Ashar, Suthan; Iqbal, Farhan; Sofinah Harahap, Lailan
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2341

Abstract

Artificial Neural Networks (ANN) is a computer technology in the field of artificial intelligence that is able to understand complex data patterns. One of ANN's technological capabilities is being able to predict solutions based on training patterns provided during the system learning process. This study aims to apply the signature pattern by applying ANN using the Backpropagation method. Backpropagation method is one of the learning algorithms related to the preparation of weights based on the value of errors in learning. The image will be processed using the Backpropagation method which will be obtained by the introduction. The results introduce 50 signature data samples and 50 signature sample data. The test is carried out using 50 samples, where each sample will be requested once. From the results of the research that has been done it can be concluded that the results obtained from the parameters with a learning rate of 0.5, epoch 100, objectives 1e-5 and momentum 0.9 with the results of 68% system testing.
Strategi Efektif dalam Pendirian Perseroan Terbatas: Proses, Kendala dan Solusi untuk Keberhasilan Bisnis Danda Evantrino, Muhammad; Meiralda, Karina Salsabila
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 4b (2024): OKTOBER (Tambahan)
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i4b.2343

Abstract

Pendirian Perseroan Terbatas (PT) merupakan langkah penting bagi pelaku usaha di Indonesia yang menginginkan status legal dan perlindungan hukum bagi perusahaannya. Artikel ini membahas strategi efektif dalam proses pendirian PT, dimulai dari tahap persiapan dokumen awal, pembuatan akta pendirian di hadapan notaris, hingga pengesahan badan hukum oleh Kementerian Hukum dan Hak Asasi Manusia (Kemenkumham) dan perolehan izin usaha melalui sistem Online Single Submission (OSS). Kendala yang sering ditemui dalam pendirian PT meliputi biaya notaris yang tinggi, waktu proses yang memakan waktu, serta ketidakjelasan prosedur administrasi di beberapa instansi pemerintah. Sebagai solusi, pemanfaatan OSS menjadi alternatif penting untuk menyederhanakan birokrasi, sementara kebijakan dalam Undang-Undang Cipta Kerja No. 11 Tahun 2020 memberikan kemudahan bagi usaha kecil melalui penghapusan persyaratan modal dasar minimum. Dengan memahami strategi yang tepat dan mengikuti prosedur yang telah disederhanakan, pendiri perusahaan dapat mengatasi berbagai hambatan dalam mendirikan PT, sehingga berpotensi meningkatkan keberhasilan bisnis dalam jangka panjang. Artikel ini memberikan panduan praktis yang dapat membantu pelaku usaha menjalankan proses pendirian PT secara efektif, efisien, dan sesuai dengan ketentuan hukum yang berlaku

Page 30 of 68 | Total Record : 672

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