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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 Jurnal Agrotek Tropika Teorema: Teori dan Riset Matematika JURNAL VOKASI TEKNOLOGI INDUSTRI (JVTI) Jurnal Inovasi Pendidikan dan Sains Jurnal Informatika Teknologi dan Sains (Jinteks) 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 Journal of Educational Studies
Arifin, Samsul
Institut Teknologi Sains Bandung
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Text security by using a combination of the vigenere cipher and the rubik's cube method of size 4×4×4 Safitri, Raudhatun; Prasetyo, Puguh Wahyu; Wijayanti, Dian Eka; Arifin, Samsul; Setyawan, Fariz; Repka, Joe
Al-Jabar: Jurnal Pendidikan Matematika Vol 14 No 2 (2023): 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.v14i2.14276

Abstract

Background: In the current era of technology, information security is increasingly important. The growth of technology leads to a higher level of threat to the security of data and information dissemination, and cryptography is a valuable protective tool.Aim: The primary objective of this research is to enhance text security through the fusion of the Vigenere cipher and the Rubik's cube algorithm. By leveraging this novel approach, we aim to fortify the confidentiality of textual data against potential eavesdroppers and adversaries. To demonstrate the practicality of this method, we perform a simulation using the Python programming language within the Google Colab environment. Method: This study employs a qualitative research methodology supplemented by empirical simulation. The combination of the Vigenere Cipher and the Rubik's Cube algorithm in a 4×4×4 configuration is implemented to encrypt and decrypt text. The simulation is executed using the Google Colab platform, enabling a practical illustration of the encryption process.Result: The results of our research indicate the feasibility of generating ciphertext through the amalgamation of the Vigenere Cipher and the Rubik's Cube algorithm in the specified 4×4×4 configuration. The simulation conducted in Google Colab serves as concrete evidence of the effectiveness and practicality of this combined encryption method.Conclusion: In conclusion, this research offers a compelling approach to bolstering text security in the modern era of information technology. By combining the Vigenere Cipher with the Rubik's Cube algorithm in a 4×4×4 configuration, we have demonstrated the potential to significantly enhance the confidentiality of sensitive textual data. The empirical simulation conducted in Google Colab reaffirms the practicality and viability of this innovative encryption technique, highlighting its potential as a valuable tool in the realm of information security.
OUTPUT VISUALIZATION FROM RESULT OF DISCRETE EVENT SYSTEM SIMULATION WITH ‘simmer’ R PACKAGE Yudistira, I Gusti Agung Anom; Nariswari, Rinda; Arifin, Samsul
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.269 KB) | DOI: 10.30598/barekengvol17iss1pp0581-0592

Abstract

This study aims to describe the various capabilities of the simmer package on R, especially in running a discrete event simulation model of a circular system, then develop a DES simulation model building technique, which is effective and can represent real systems well, and explore the simulation output on this simmer, both in statistical summary form and parameter estimation. The method used in this research is the literature study with descriptive and exploratory approaches. Model development is more effective when it is carried out starting from simple models, to more complex forms step by step, and describing the system using a flow chart. Replication for simulations is easy to perform so as to get standard error values ​​for model parameter estimators. The stages in developing a discrete event simulation model with a simmer, start with compiling a simple flowchart to a more complex form, and replication is carried out. The simmer output in the form of a data frame makes it very easy to process the output further. The simple R API on Simmer will also make it easier to simulate.
ANALISIS FAKTOR JARINGAN KOLABORASI PENELITI MENGGUNAKAN METODE ANALISIS BIBLIOMETRIK Dwi Anto, Septian; Elita Putri, Rizky; Winarto Selamet, Muhammad; Widyakusuma, Nita; Arifin, Samsul
Pedagogik : Jurnal Pendidikan Guru Sekolah Dasar Vol. 13 No. 1 (2025): PEDAGOGIK : Jurnal Pendidikan Guru Sekolah Dasar
Publisher : Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/pedagogik.v13i1.10631

Abstract

Penelitian ini bertujuan untuk menganalisis jaringan kolaborasi peneliti dengan menggunakan metode analisis bibliometrik. Data jaringan yang divisualisasikan dalam bentuk grafis menggunakan VOSviewer menunjukkan hubungan antara peneliti berdasarkan faktor kolaborasi. Analisis ini mengidentifikasi peneliti kunci, pola kolaborasi, serta klaster atau kelompok berdasarkan faktor keterkaitan dalam penelitian. Hasil penelitian ini memberikan gambaran tentang struktur kolaborasi dalam komunitas akademik serta potensi kolaborasi antar peneliti. Data dikumpulkan dari database Scopus dengan menggunakan kata kunci “analisis AND faktor". Kemudian penulis menggunakan software VOSviewer untuk menganalisis dan memvisualisasikan database yang diperoleh. Hasil penelitian menunjukkan bahwa hasil analisis sitasi menunjukkan jumlah kutipan per tahun dari 2020 - 2024 adalah 2.562 data.
Trends, Contributions and Prospects: Bibliometric Analysis of ANOVA Research in 2022-2023 Sutrisno, Utis; Wulandari, Yulia; Usep; Arifin, Samsul; Roni; Manurung, Monica Mayeni; Faisal, Muhamad
Indonesian Journal of Applied Mathematics and Statistics Vol. 1 No. 1 (2024): 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.v1i1.7

Abstract

This study aims to analyze the development and contribution of research on the topic of ANOVA (Analysis of Variance) using the bibliometric analysis method. ANOVA is a statistical method used to compare the means of three or more groups. Through bibliometric analysis, we explore articles published in journals related to ANOVA within a certain time span, namely 2022-2023. The method of bibliometric analysis involves collecting bibliographic data from relevant sources and analyzing characteristics such as frequency of publication, notable authors, and most frequently cited journals. This study uses a bibliometric analysis method that retrieves 1,911 metadata from Scopus. The results of the bibliometric analysis revealed an increase in the number of publications about ANOVA during the time span studied, namely 2022-2023. These findings indicate that ANOVA remains a relevant and interesting topic for researchers in various disciplines. In addition, there is a wide variety of research topics related to ANOVA, including the use of ANOVA in various contexts, such as laboratory experiments, clinical research, and analysis of survey data. By analyzing the contribution of research on the topic of ANOVA, this study provides valuable insights for us. Moreover, the researcher also discussed prospects for future research on this topic, including the development of new analytical methods and the wider application of ANOVA in various scientific and practical contexts.
Clustering Analysis: A Note on Methodologies and Trends Raditha, Alya Maura; Arifin, Samsul
Indonesian Journal of Applied Mathematics and Statistics Vol. 2 No. 2 (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.v2i2.23

Abstract

This study conducts a bibliometric analysis of clustering techniques in scientific research using VOSviewer and Gen-AI-based Consensus.app. The dataset was collected from Scopus and the Web of Science using predefined queries to filter articles published in 2024 and 2025. VOSviewer was utilized to visualize co-authorship networks, keyword co-occurrence, citation relationships, bibliographic coupling, and co-citation patterns, revealing key research clusters and influential studies. Additionally, Consensus.app was employed to generate AI-driven insights, summarizing key themes and emerging trends in clustering methodologies. The results indicate that clustering research is highly collaborative, with strong institutional networks and interdisciplinary applications. Machine learning, data mining, and network analysis emerge as dominant themes, with key publications shaping methodological advancements. The co-citation network highlights foundational studies that have influenced the field. By combining traditional bibliometric techniques and AI-based analysis, this study offers a comprehensive perspective on clustering research, identifying knowledge gaps and potential future directions. These findings provide valuable insights for researchers seeking to explore emerging topics, collaborate effectively, and contribute to the development of clustering methodologies. However, this study is limited to publications indexed in Scopus and Web of Science within the years 2024–2025, which may not fully capture longer-term developments. Future research could expand the scope to other databases and timeframes for a broader perspective.
AI-AUGMENTED HEALTH INFORMATION SYSTEM DESIGN FOR SCALABLE MOBILE MENTAL WELLNESS SUPPORT IN INDONESIA Tiawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Nur Dava Kurniawan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6974

Abstract

Indonesia faces a youth mental health crisis, with limited access to professional care. WHO recommends one mental health worker per 30.000 people, but Indonesia only has 1:200.000 for general mental health personnel and 1:223.587 for psychiatrists. This paper addresses the implementation gap through the design and integration of an AI augmented health information system within Teman Curhat, a mobile mental wellness platform. We applied thematic analysis to expert interviews and used K-Means clustering on 16.689+ user reported cases to classify concerns into three severity levels. The system’s novelty lies in embedding on device Gemini AI for offline triage, ethical chatbot support, and adaptive user routing. Key outputs include a validated clustering model (Silhouette Score: 0.61), AI assisted classification logic, integration within Android Studio, and a scalable conversational interface. This innovation supports SDG 3 (Good Health and Well being) and SDG 10 (Reduced Inequalities) by enabling inclusive, responsive, and privacy focused digital mental health services for underserved communities.
MODEL CHATBOT AI AGENT BERBASIS CONVERSATIONAL AGENT UNTUK BISNIS DIGITAL LAPTOPCARE Tiawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Muhammad Fathir Fahlevi; Favian Jarsi Taufiqqurakhman; Hexsel Aldoegasha; Alya Nabilah; Taufiqqurahman Hutri; Nur Davi Kurniawan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6975

Abstract

Perkembangan teknologi Conversational Agent (CA) memungkinkan pengembangan chatbot berbasis kecerdasan buatan untuk mendukung layanan bisnis digital. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan chatbot AI Agent sebagai layanan dukungan pelanggan pada model bisnis perawatan laptop yang dikembangkan oleh mahasiswa. Metode yang digunakan adalah pendekatan Conversational Agent dengan integrasi n8n sebagai platform otomasi alur kerja, Telegram sebagai saluran komunikasi, Google Gemini Chat Model sebagai pemroses bahasa, serta Google Spreadsheet sebagai sumber data terstruktur untuk informasi produk dan layanan. Sistem chatbot dirancang sebagai agen berbasis tugas dengan aturan bisnis yang mengatur jenis pertanyaan dan layanan yang dapat diberikan. Hasil penelitian menunjukkan bahwa chatbot mampu memberikan respons yang akurat, kontekstual, dan konsisten terkait informasi layanan, stok barang, estimasi harga, serta kebutuhan pelanggan secara real-time. Implementasi ini membuktikan bahwa integrasi AI Agent dengan platform otomasi dan data terstruktur dapat meningkatkan efisiensi layanan pelanggan serta mendukung pengembangan model bisnis digital di bidang perawatan laptop.
PERANCANGAN FITUR DARURAT DAN PENGINGAT PADA APLIKASI JAMAAH UMROH XYZ MENGGUNAKAN SCRUMBAN Tiawan; Nusaibah; Rifky Kurniawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Citra Nur Napiah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.7049

Abstract

The problem of Umrah pilgrims getting lost and losing personal belongings is still common, especially in high-density areas such as the Grand Mosque and the Prophet's Mosque, with more than 50 cases of missing pilgrims per day during the peak Umrah season. A survey of 50 pilgrims showed that 86% of respondents experienced location disorientation and 74% had lost or nearly lost personal belongings. This study aims to design emergency and reminder features in the XYZ Umrah Pilgrim Application to improve security and management of pilgrim activities. The development method used is Scrumban, a combination of the iterative and structured Scrum method with the Kanban method that emphasizes workflow visualization and task management execution. The emergency feature is designed using the Fused Location Provider to send pilgrim location coordinates in real-time with a detection time of less than 30 seconds, while the reminder feature helps manage luggage and prayer schedules through a notification system. Functional and performance testing results show a feature success rate above 90%. The conclusion of this study shows that the integration of emergency and reminder features in one Umrah application with the Scrumban approach is able to improve the security and comfort aspects of the congregation.
Predicting Citation Dynamics and Mapping Research Trends in Nanocellulose: A Bibliometric and Machine Learning Approach (2021–2025) Edwin Kristianto Sijabat; Samsul Arifin
JURNAL INOVASI PENDIDIKAN DAN SAINS Vol 6 No 3 (2025): December
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jips.v6i3.2709

Abstract

This study aims to map research trends and predict citation dynamics in nanocellulose research within the materials science domain during 2021–2025. A quantitative bibliometric approach was employed using metadata retrieved from the Scopus database, followed by network visualization with VOSviewer and advanced data analysis using Python and machine learning techniques. A total of 2,971 publications were analyzed to identify publication patterns, collaboration networks, thematic evolution, and citation behavior. The results show that China dominates publication output and funding, while key journals and authors form highly interconnected citation networks. Topic modeling reveals emerging research fronts in biomedical hydrogels, nanocomposite films, and sustainable processing. Citation prediction using regression-based machine learning achieved moderate performance (R² = 0.23), indicating potential for early impact estimation. This study concludes that integrating bibliometrics with machine learning provides a comprehensive and predictive perspective on the evolving landscape of nanocellulose research and can support strategic research planning and policy decisions
Self-Protection Equipment Detection System in Heavy Weight Workshop of Politeknik Negeri Jakarta Using Artificial Intel-ligence Muhammad Rezakusuma; Abdul Azis Abdillah; Dewi Yanti Liliana; Ega Edistria; Samsul Arifin; Zahran Muzakki
Recent in Engineering Science and Technology Vol. 1 No. 1 (2023): RiESTech Vol. 1 No. 1 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i01.4

Abstract

The creating process, how it works and the performance of the detection system using Artificial Intelligence. The development of this innovation contributes to the Heavy Equipment Workshop of the Jakarta State Polytechnic to detect the early potential for work accidents. The methods are device tuning, inputs, training models, performance, trials and outputs. The creating process and how the detection system works using Artificial Intelligence each has 3 steps and accuracy using 3 cameras, namely the internal webcam (1MP), the JETE external webcam (720P) and the Samsung Galaxy A22 mobile phone camera (13MP). The process of making this innovation has 3 steps, namely data input, export, file grouping. There are 3 steps to work, namely open the file, run and output. The result of the accuracy of the internal webcam is very low, the JETE external webcam is better than the internal webcam and the mobile phone camera is better than the JETE external webcam.
Co-Authors Abdillah, Abdul Azis Abdul Azis Abdillah Adi Adi Agus Sukandi Alfian Alfian Alya Nabilah Amanatullah Pandu Zenklinov Amril Mutoi Siregar Anugerah Rafi Pratama Arif Rahman Hakim Arumella Surgandini Assagaf, Idrus Ayatul Ulya Bobbi Rahman Citra Nur Napiah Dani Lukman Hakim Dani Lukman Hakim Dewi Yanti Liliana Dwi Anto, Septian Dwi Wijonarko Edwin Kristianto Sijabat Edwin Setiawan Nugraha Ega Edistria Elita Putri, Rizky Eliza Ariesta Elizabeth W. M. Indira Favian Jarsi Taufiqqurakhman Haryanti Haryanti Hexsel Aldoegasha I Gusti Agung Anom Yudistira Indra Bayu Muktyas Indra Bayu Muktyas Jacob Stevy Seleki Jonri Lomi Ga Jufra, Arlita Aristianingsih Jufra, Jufra Klara Iswara Sukmawati Lucky, Henry Manurung, Mika Meitriana Manurung, Monica Mayeni Marini Marini Melody Effendi Merios Gusan Putra Monica Mayeni Manurung Muhamad Faisal, Muhamad Muhammad Amien Ibrahim Muhammad Faisal Muhammad Fathir Fahlevi Muhammad Nabil Pratama Muhammad Nur Huda Muhammad Rezakusuma Muktyas, Indra Bayu Nerru Pranuta Murnaka, Nerru Pranuta Nilam Atsirina Krisnaputri Nur Dava Kurniawan Nur Davi Kurniawan Nusaibah Okta Nindita Priambodo Pimpi, La Priambodo, Oktanindita Puguh Wahyu Prasetyo Puguh Wahyu Prasetyo, Puguh Raditha, Alya Maura Repka, Joe Rifky Kurniawan Rinda Nariswari Rinda Nariswari RONI Rully Charitas Indra Prahmana Rusli P. D. Kolnel Safitri, Raudhatun Sausan Ramadhani Setyawan, Fariz Siti A. M. Karubaba Stanley Jonathan Suharno Suharno Sulistiawati Sulistiawati Sulistiawati Sulistiawati Sulistiawati Sulistiawati Surjandy Susyanto, Nanang Sutrisno, Utis Taufiqqurahman Hutri Tiawan Tri Handayani Usep Valensius Jimy Widyakusuma, Nita Wijaya, Andryan Kalmer Wijayanti, Dian Eka Winarto Selamet, Muhammad Windria, Hening Wiwik Wiyanti Yanuar Yanuar Yulia Wulandari, Yulia Zahran Muzakki