Nerru Pranuta M
@stkipsurya.ac.id
Mathematics Education
STKIP Surya
RESEARCH INTERESTS
Mathematics Education
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Nerru Pranuta Murnaka, Samsul Arifin, Audrey Tabitha Ariani, and Andi Mardiana Paduppai
AIP Publishing
Alfian, Muh. Kabil Djafar, Nerru Pranuta Murnaka, Sulistiawati, Rinda Nariswari, and Samsul Arifin
AIP Publishing
Billyeam Wayeni, Sulistiawati, Indra Bayu Muktyas, Nerru Pranuta Murnaka, and Samsul Arifin
AIP Publishing
Nerru Pranuta Murnaka and Sulistiawati
AIP Publishing
Samsul Arifin, Nerru Pranuta Murnaka, Andi Mardiana Paduppai, and Haryanti
AIP Publishing
Sisilia Maria Maspaitella, Sulistiawati, Indra Bayu Muktyas, Nerru Pranuta Murnaka, and Samsul Arifin
AIP Publishing
Indra Bayu Muktyas, Nerru Pranuta Murnaka, Sulistiawati, and Samsul Arifin
AIP Publishing
Ardi Beni Mateos Nubatonic, Sulistiawati, Indra Bayu Muktyas, Nerru Pranuta Murnaka, and Samsul Arifin
AIP Publishing
Suwarno, Nerru Pranuta Murnaka, Puguh Wahyu Prasetyo, and Samsul Arifin
AIP Publishing
Samsul Arifin, Nerru Pranuta Murnaka, Elisa Ika Yuliawati, Merry Violyta Fransisca Pesulima, and Margaretha Ohyver
AIP Publishing
Serly Ayu Saputri, Sulistiawati, Nerru Pranuta Murnaka, Samsul Arifin, and Syarifah Diana Permai
AIP Publishing
Nerru Pranuta Murnaka, Rusdarti, Samsul Arifin, Mohd Khairul Bazli Mohd Aziz, and Suwarno
AIP Publishing
Samsul Arifin, Felix Indra Kurniadi, I Gusti Anom Yudistira, Rinda Nariswari, Nerru Pranuta Murnaka, and Indra Bayu Muktyas
IEEE
One of the cryptographic approaches is the Hill Cipher. A square key matrix must have an inverse modulo in the Hill Cipher algorithm. The unimodular matrix is one of the special matrices that has an inverse. In the encryption process, a unimodular matrix can be utilized as a key matrix. The goal of this study is to demonstrate a safe digital image data alternative. Symmetric cryptography is the type of encryption utilized. The described approach uses a Logistic Map to construct a unimodular matrix. To begin, we employ an identity matrix to obtain a unimodular matrix. The encryption mechanism in this study is modulo matrix multiplication. Because an incomplete partition may arise as a result of a file, we must apply Shift Cipher 128 encryption in the next step. We utilize Shift Cipher 128 to encrypt the imperfect partition, especially if the size is a large enough prime integer. The results reveal that the photos are well encrypted and difficult for third parties to decrypt. This encryption methods also assures that the encrypted and decrypted file sizes are identical to the original file sizes. As a result, the Hill cipher works well with the combination of these techniques for encrypting digital images.
Muhammad Amien Ibrahim, Noviyanti Tri Maretta Sagala, Samsul Arifin, Rinda Nariswari, Nerru Pranuta Murnaka, and Puguh Wahyu Prasetyo
IEEE
Social media is an effective tool for connecting with people and distributing information. However, many people often use social media to spread hate speech and abusive languages. In contrast to hate speech, abusive languages are frequently used as jokes with no purpose of offending individuals or groups, even though they may contain profanities. As a result, the distinction between hate speech and abusive language is often blurred. In many cases, individuals who spread hate speech may be prosecuted as it has legal implications. Previous research has focused on binary classification of hate speech and normal tweets. This study aims to classify hate speech, abusive language, and normal messages on Indonesian Twitter. Several machine learning models, such as logistic regression and BERT models, are utilized to accomplish text classification tasks. The model's performance is assessed using the F1-Score evaluation metric. The results show that BERT models outperform other models in terms of F1-Score, with the BERT-indobenchmark model, which was pretrained on social media text data, achieving the highest F1-Score of 85.59. This also demonstrates that pretraining the BERT model using social media data improves the classification model significantly. Developing such classification model that can distinguish between hate speech and abusive language would help individuals in preventing the spread of hate speech that has legal implications.
Rini Sugiarti, Nerru Pranuta Murkana, Erwin Erlangga, Rizal Adicita, and Satria Pinandita
Birlesik Dunya Yenilik Arastirma ve Yayincilik Merkezi
This study aims to analyze the learning model of municipal students. The approach used in this study is a quantitative correlational study with an ex-post facto design and path analysis. The instrument used is a questionnaire and Structural Equation Modeling (SEM) with WarpPLS 4.0 statistical software to analyze the data. The results show that there are positive and significant effects of self-confidence on learning motivation, and the effects of learning style are also positive and significant on learning motivation. There is a positive and significant effect of parent encouragement on learning motivation. The effect of student’s self-confidence on learning motivation also shows positive and significant. The impact of learning motivation on learning outcomes is significantly positive. While the impact of self-confidence on learning outcomes also shows positive results. The effect of parental encouragement on learning outcomes. Finally, the effect of parental encouragement on self-confidence also describes positive impacts. 
 
 Keywords: Learning Model, Students, Municipal, Self-confidence, Learning Motivation, Learning Outcomes
Sapriandi Tarigan, Nerru Pranuta Murnaka, and Samsul Arifin
AIP Publishing
This study aims to produce and develop learning media based on Android applications and Arduino microcontrollers which are named "Sapta Maino Education". The development of learning media based on Sapta Maino Education is done to be able to attract students motivation in learning, especially the material to build flat side spaces. In addition to that, learning can adjust technological developments and teachers are expected to be able to spur creativity in making learning media that follows the development of the era. This research uses research and development methods with the ADDIE development model. The data collection method uses an instrument in the form of a questionnaire. Validation involves two material experts and two media experts, then a trial run on students. The results of this study are in the form of learning media based on Sapta Maino Education consisting of Android and Arduino LED Cube applications. The results of the assessment of media experts got a percentage of 89.4%. Material experts 86.21%., And the percentage of respondents or students amounted to 89.4%. All three are included in the "very decent/very good" category. The results of the study have the disadvantage that the material is only limited to the material Cubes and Beams. Based on the results of the assessment by media experts, material experts and usage tests by respondents, it can be concluded that learning media based on Sapta Maino Education is very feasible to use.