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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA CommIT (Communication & Information Technology) Al-Jabar : Jurnal Pendidikan Matematika Union: Jurnal Ilmiah Pendidikan Matematika Jurnal Matematika: MANTIK Wacana Akademika : Majalah Ilmiah Kependidikan Numeracy : Jurnal Ilmiah Pendidikan Matematika IndoMath: Indonesia Mathematics Education BAREKENG: Jurnal Ilmu Matematika dan Terapan Teorema: Teori dan Riset Matematika JURNAL VOKASI TEKNOLOGI INDUSTRI (JVTI) Pedagogik : Jurnal Pendidikan Guru Sekolah Dasar Recent in Engineering Science and Technology Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Applied Mathematics and Statistics
Samsul Arifin
Statistics Department, School Of Computer Science, Bina Nusantara University, Indonesia
Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SQUARE TERHADAP KEMAMPUAN PEMAHAMAN KONSEP MATEMATIS SISWA Siti A. M. Karubaba; Bobbi Rahman; Samsul Arifin
IndoMath: Indonesia Mathematics Education Vol 2 No 1 (2019)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.246 KB) | DOI: 10.30738/indomath.v2i1.3150

Abstract

This study aims to investigate whether the ability to understand mathematical concepts of students who get cooperative learning think pair square type is higher than students who get conventional learning. The research method used is a quasi-experimental method with a research design that is nonequivalent control group design. In this study sample selection using the Convenience Sampling technique is students of class VIII.5 as the control class and students of class VIII.6 as the experimental class. Experimental class students get learning using the think pair square learning model, while students in the control class get conventional learning. The instruments in this study were in the form of pretest and posttest questions in the form of questions describing the ability to understand students' mathematical concepts. In the research that has been done, the significance (sig.) 0,000 is smaller than the significance level α = 0.05. The research hypothesis testing was carried out by the Mann-Whitney test using SPSS and a significance level of 5% (α = 0.05).. In this study it was found that the ability to understand mathematical concepts of students who received think pair square learning was higher than students who obtained conventional learning.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SQUARE TERHADAP KEMAMPUAN PEMAHAMAN KONSEP MATEMATIS SISWA Siti A. M. Karubaba; Bobbi Rahman; Samsul Arifin
IndoMath: Indonesia Mathematics Education Vol 2 No 1 (2019)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.246 KB) | DOI: 10.30738/indomath.v2i1.3150

Abstract

This study aims to investigate whether the ability to understand mathematical concepts of students who get cooperative learning think pair square type is higher than students who get conventional learning. The research method used is a quasi-experimental method with a research design that is nonequivalent control group design. In this study sample selection using the Convenience Sampling technique is students of class VIII.5 as the control class and students of class VIII.6 as the experimental class. Experimental class students get learning using the think pair square learning model, while students in the control class get conventional learning. The instruments in this study were in the form of pretest and posttest questions in the form of questions describing the ability to understand students' mathematical concepts. In the research that has been done, the significance (sig.) 0,000 is smaller than the significance level α = 0.05. The research hypothesis testing was carried out by the Mann-Whitney test using SPSS and a significance level of 5% (α = 0.05).. In this study it was found that the ability to understand mathematical concepts of students who received think pair square learning was higher than students who obtained conventional learning.
Penerapan Model Kooperatif Tipe Numbered Head Tgether Untuk Meningkatkan Kemampuan Komunikasi Matematis Siswa SMP Adi Adi; Samsul Arifin; Bobbi Rahman
IndoMath: Indonesia Mathematics Education Vol 2 No 2 (2019)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.619 KB) | DOI: 10.30738/indomath.v2i2.4409

Abstract

Mathematical communication skills are abilities that must be possessed by students in learning mathematics so that students can convey ideas or ideas both verbally and in writing. Based on the results of observations made at SMP Muhammadiyah 5 Kota Tangerang, students' mathematical communication skills are still low. Responding to these problems, teachers need to apply cooperative learning models. One type of cooperative learning model that can train students' mathematical communication skills is Numbered Head Together (NHT). The purpose of this study is to investigate the improvement in mathematical communication skills of students who get Numbered Head Together (NHT) learning higher than students who get conventional learning. This study uses a quasi experimental design type nonequivalent control group design. The population in this study were 4 grade VIII students of SMP Muhammadiyah 5 Kota Tangerang and the sample of this study were students of grades VIII.2 and VIII.3. The sampling technique uses cluster random sampling. The research hypothesis was tested with a nonparametric test, namely Mann Whitney because the sample in this study amounted to 38 students from two classes VIII.2 and class VIII.3. The results showed that the increase in mathematical communication skills of students who obtained mathematics learning with the Numbered Head Together (NHT) model was higher than students who obtained conventional learning.
An Explainable AI Model for Hate Speech Detection on Indonesian Twitter Muhammad Amien Ibrahim; Samsul Arifin; I Gusti Agung Anom Yudistira; Rinda Nariswari; Abdul Azis Abdillah; Nerru Pranuta Murnaka; Puguh Wahyu Prasetyo
CommIT (Communication and Information Technology) Journal Vol. 16 No. 2 (2022): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v16i2.8343

Abstract

To avoid citizen disputes, hate speech on social media, such as Twitter, must be automatically detected. The current research in Indonesian Twitter focuses on developing better hate speech detection models. However, there is limited study on the explainability aspects of hate speech detection. The research aims to explain issues that previous researchers have not detailed and attempt to answer the shortcomings of previous researchers. There are 13,169 tweets in the dataset with labels like “hate speech” and “abusive language”. The dataset also provides binary labels on whether hate speech is directed to individual, group, religion, race, physical disability, and gender. In the research, classification is performed by using traditional machine learning models, and the predictions are evaluated using an Explainable AI model, such as Local Interpretable Model-Agnostic Explanations (LIME), to allow users to comprehend why a tweet is regarded as a hateful message. Moreover, models that perform well in classification perceive incorrect words as contributing to hate speech. As a result, such models are unsuitable for deployment in the real world. In the investigation, the combination of XGBoost and logical LIME explanations produces the most logical results. The use of the Explainable AI model highlights the importance of choosing the ideal model while maintaining users’ trust in the deployed model.
A Bibliometric Study of 3D Printing's Educational Applications Arifin, Samsul
JURNAL VOKASI TEKNOLOGI INDUSTRI (JVTI) Vol 6, No 1 (2024): Jurnal Vokasi, Teknologi, dan Industri (JVTI)
Publisher : Institut Teknologi Sains Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36870/jvti.v6i1.361

Abstract

Using 3D printing in education research will continue to grow over the next few years, according to experts. It may be seen in a broad variety of scientific fields as well. An examination of 1,384 3D printing research articles published in 793 scientific journals and authored by 5,438 authors was conducted in this study (103 single-authored documents and 5,335 multi-authored documents). The goal of this study is to identify the trending topic in 3D printing right now. R software's Bibliometrix tool was used to extract data from Scopus and run it via VOSviewer, which was then loaded into the database. We've chosen the world's most significant publications, journals, authors, nations, and affiliations based on citation analysis criteria. While keywords and phrases are likely to be the most important issues and conclusions of the research, it is probable that some major patterns and concerns contained in the complete text are not properly reflected in our study. The development of patterns in 3D Printing should be examined in future studies to give scientific knowledge, as well.
Penerapan Trilaterasi dan Underdetermined Linear System dalam Penentuan Posisi Objek di Bumi Melalui Global Positioning System (GPS) Jufra, Jufra; Pimpi, La; Jufra, Arlita Aristianingsih; Alfian, Alfian; Arifin, Samsul; Murnaka, Nerru Pranuta
Teorema: Teori dan Riset Matematika Vol 9, No 2 (2024): September
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/teorema.v9i2.14112

Abstract

Materi yang digunakan dalam penelitian ini adalah konsep matriks dan aljabar vektor yang dapat membantu dalam menyelesaikan sistem persamaan linear yang terbentuk dari perhitungan jarak antara satelit dan receiver di bumi. Jarak ini adalah panjang vektor. Penyelesaian sistem persamaan linier ini berupa titik yang menunjukkan letak benda di muka bumi. Materi selanjutnya adalah tentang cara kerja Global Positioning System (GPS). Alat yang digunakan dalam penelitian ini adalah fasilitas yang dimiliki oleh Departemen Laboratorium Komputasi Matematika Universitas Halu Oleo berupa fasilitas komputer dan perangkat lunak. Berdasarkan hasil pembahasan dapat disimpulkan bahwa. Matriks aljabar dan vektor berperan penting dalam menentukan posisi suatu benda di bumi, khususnya pada GPS. Konsep yang digunakan adalah dengan menerapkan matriks dan vektor dari sistem persamaan linier yang diperoleh berdasarkan perhitungan jarak satelit ke benda bumi yang diterima penerima. Kata kunci: GPS; Matriks; Vektor; Aljabar.
Program Evaluation and Review Technique (PERT) Analysis to Predict Completion Time and Project Risk Using Discrete Event System Simulation Method Yudistira, I Gusti Agung Anom; Nariswari, Rinda; Arifin, Samsul; Abdillah, Abdul Azis; Prasetyo, Puguh Wahyu; Susyanto, Nanang
CommIT (Communication and Information Technology) Journal Vol. 18 No. 1 (2024): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v18i1.8495

Abstract

The prediction of project completion time, which is important in project management, is only based on an estimate of three numbers, namely the fastest, slowest, and presumably time. The common practice of applying normal distribution through Monte Carlo simulation in Program Evaluation and Review Technique (PERT) research often fails to accurately represent project activity durations, leading to potentially biased project completion prediction. Based on these problems, a different method is proposed, namely, Discrete Event Simulation (DES). The research aims to evaluate the effectiveness of the simmer package in R in conducting PERT analysis. Specifically, there are three objectives in the research: 1) develop a simulation model to predict how long a project will take and find the critical path, 2) create an R script to simulate discrete events on a PERT network, and 3) explore the simulation output using the simmer package in the form of summary statistics and estimation of project risk. Then, a library research with a descriptive and exploratory method is used for data collection. The hypothetical network is used to obtain the numerical results, which provide the predicted value of the project completion, the critical path, and the risk level. Simulation, including 100 replications, results in a predicted project completion time and a standard deviation of 20.7 and 2.2 weeks, respectively. The DES method has been proven highly effective in predicting the completion time of a project described by the PERT network. In addition, it offers increased flexibility.
Analisis Publikasi Ilmiah mengenai Prestasi Belajar Siswa melalui Pendekatan Bibliometrik dan Teknologi Arifin, Samsul
JURNAL VOKASI TEKNOLOGI INDUSTRI (JVTI) Vol 6, No 2 (2024): Jurnal Vokasi, Teknologi, dan Industri (JVTI)
Publisher : Institut Teknologi Sains Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36870/jvti.v6i2.362

Abstract

Pendidikan sangat berarti bagi kehidupan manusia dalam ruang lingkup pendidikan yang luas menjadi penopang bangkitnya sebuah bangsa, untuk itu kualitas pembangunan sumber daya manusia menjadi faktor utama penentu kemajuan suatu bangsa. Salah satu upaya dalam tolak ukur kualitas, yaitu dengan mengetahui tingkat kualitas siswa yang dimiliki oleh setiap lembaga pendidikan atau bangsa. Untuk meningkatkan hal tersebut, maka berbagai macam penelitian terus dilakukan yang berkaitan langsung dengan prestasi belajar siswa baik dari pengaruh metodologi pembelajaran, media ajar dan lain sebagainya. Terlepas dari seberapa banyak yang meneliti prestasi belajar dan variabel terkait penelitian yang mengukur atau memeriksa perkembangan tersebut masih sangat terbatas sedangkan kebutuhan akan tantangan pendidikan harus dihadapi. Penelitian ini bertujuan untuk melihat dan mengukur sejauh mana perkembangan penelitian tentang prestasi belajar siswa dari tahun 2023-2024, dan menemukan keterbaruan. Penelitian ini menggunakan metode analisis bibliometrik yang mengambil metadata dari Scopus sebanyak 1.800 metadata. Hasil dari proses analisis menunjukkan ada 1.803 penulis yang terhimpun dalam penelitian yang terkait, namun dalam penelitiannya tidak begitu banyak hubungan antar penulis satu dengan yang lainnya, hanya sebagian yang menerbitkan jurnal lebih dari 5 yaitu 2 orang penulis dengan jumlah terbitan sebanyak 7 dokumen. Adapun asal negara yang paling dominan adalah United States. Kemudian kata kunci yang paling banyak terkait adalah human, academic achievement, students, motivation, gender, literacy, highschool, knowledge dan artikel yang paling banyak dikutip adalah milik Bai B,; Wang J. Yang terbit tahun 2023
Web Application for IHSG Prediction Using Machine Learning Algorithms Wijaya, Andryan Kalmer; Lucky, Henry; Arifin, Samsul
Indonesian Journal of Applied Mathematics and Statistics Vol. 2 No. 1 (2025): Indonesian Journal of Applied Mathematics and Statistics (IdJAMS)
Publisher : Lembaga Penelitian dan Pengembangan Matematika dan Statistika Terapan Indonesia, PT Anugrah Teknologi Kecerdasan Buatan PT Anugrah Teknologi Kecerdasan Buatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71385/idjams.v2i1.21

Abstract

This study investigates the effectiveness of the Long Short-Term Memory (LSTM) method in predicting the stock price of the Composite Stock Price Index (CSPI). LSTM, a variant of Recurrent Neural Networks, is designed to overcome challenges such as the vanishing gradient problem and long-term dependencies in time-series data. Given the dynamic and volatile nature of financial markets, accurate stock price prediction is crucial for investors and analysts. The data set used in this study consists of daily CSPI prices from January 2000 to December 2023, which serve as both training and testing data for model development. The LSTM model is trained to forecast the next day’s stock price, and its performance is compared with traditional statistical models, particularly the Autoregressive Integrated Moving Average (ARIMA) model and linear regression. Performance evaluation is based on the Mean Absolute Percentage Error (MAPE), a widely used metric for assessing predictive accuracy. The results indicate that while the ARIMA model achieves a lower MAPE of 0.7%, demonstrating slightly superior accuracy, the LSTM model also performs well, with a MAPE of approximately 1%. These findings suggest that while statistical models like ARIMA remain highly effective for stock price forecasting, deep learning approaches such as LSTM still offer promising predictive capabilities, especially when handling large and complex datasets. The ability of LSTM to capture non-linear patterns and temporal dependencies makes it a viable alternative for financial forecasting, potentially benefiting traders and market analysts seeking data-driven decision-making tools.
Unimodular matrix and bernoulli map on text encryption algorithm using python Arifin, Samsul; Muktyas, Indra Bayu; Prasetyo, Puguh Wahyu; Abdillah, Abdul Azis
Al-Jabar: Jurnal Pendidikan Matematika Vol 12 No 2 (2021): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v12i2.10469

Abstract

One of the encryption algorithms is the Hill Cipher. The square key matrix in the Hill Cipher method must have an inverse modulo. The unimodular matrix is one of the few matrices that must have an inverse. A unimodular matrix can be utilized as a key in the encryption process. This research aims to demonstrate that there is another approach to protect text message data. Symmetric cryptography is the sort of encryption utilized. A Bernoulli Map is used to create a unimodular matrix. To begin, the researchers use an identity matrix to generate a unimodular matrix. The Bernoulli Map series of real values in (0,1) is translated to integers between 0 and 255. The numbers are then inserted into the unimodular matrix's top triangular entries. To acquire the full matrix as the key, the researchers utilize Elementary Row Operations. The data is then encrypted using modulo matrix multiplication.
Co-Authors Abdillah, Abdul Azis Abdul Azis Abdillah Adi Adi Agus Sukandi Alfian Alfian Arif Rahman Hakim Arumella Surgandini Assagaf, Idrus Bobbi Rahman Dewi Yanti Liliana Dwi Anto, Septian Ega Edistria Elita Putri, Rizky I Gusti Agung Anom Yudistira Indra Bayu Muktyas Indra Bayu Muktyas Jimy, Valensius Jonri Lomi Ga Jufra, Arlita Aristianingsih Jufra, Jufra Klara Iswara Sukmawati Lucky, Henry Manurung, Mika Meitriana Manurung, Monica Mayeni Muhamad Faisal, Muhamad Muhammad Amien Ibrahim Muhammad Rezakusuma Muktyas, Indra Bayu Nerru Pranuta Murnaka, Nerru Pranuta Pimpi, La Puguh Wahyu Prasetyo, Puguh Raditha, Alya Maura Ramadhani, Sausan Repka, Joe Rinda Nariswari Rinda Nariswari RONI Rully Charitas Indra Prahmana Rusli P. D. Kolnel Safitri, Raudhatun Seleki, Jacob Stevy Setyawan, Fariz Siti A. M. Karubaba Suharno Suharno Sulistiawati Sulistiawati Sulistiawati Sulistiawati Susyanto, Nanang Sutrisno, Utis Tri Handayani Usep Widyakusuma, Nita Wijaya, Andryan Kalmer Wijayanti, Dian Eka Winarto Selamet, Muhammad Windria, Hening Wiwik Wiyanti, Wiwik Yanuar Yanuar Yulia Wulandari, Yulia Zahran Muzakki Zenklinov, Amanatullah Pandu