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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Teknika Seminar Nasional Informatika (SEMNASIF) Al-Jabar : Jurnal Pendidikan Matematika Emerging Science Journal Jurnal TAM (Technology Acceptance Model) Prosiding Seminar Nasional Darmajaya International Journal on Emerging Mathematics Education International Journal of Supply Chain Management Journal of Robotics and Control (JRC) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal PkM: Pemberdayaan Masyarakat Al Irsyad: Jurnal Studi Islam NEAR: Jurnal Pengabdian kepada Masyarakat Pena Dimas: Jurnal Pengabdian Masyarakat Greenation International Journal of Engineering Science SATKRIYA: Jurnal Pengabdian Kepada Masyarakat Siber Journal of Advanced Multidisciplinary Siber Journal of Transportation and Logistics Siber International Journal of Digital Business Siber International Journal of Education Technology Jurnal Greenation Sosial dan Politik Greenation International Journal of Engineering Science Greenation International Journal of Law and Social Sciences Greenation International Journal of Tourism and Management Greenation International Journal of Economics and Accounting Dinasti Information and Technology Dinasti Accounting Review International Journal of Psychology and Health Science Dinasti Health and Pharmacy Science Siber International Journal of Advanced Law Jurnal TAM (Technology Acceptance Model)
Andino Maseleno
Prodi Sistem Informasi, STMIK Pringsewu Lampung
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Developing Mathematical Students Worksheet Based On Islamic Values Using Contextual Approach Choirudin, Choirudin; Ningsih, Eka Fitria; Anwar, M. Saidun; Choirunnisa, Ani; Maseleno, Andino
International Journal on Emerging Mathematics Education IJEME, Vol. 3 No. 2, September 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijeme.v3i2.13286

Abstract

Development of worksheets looks like the beginning of the problems found in schools, students have difficulty to understanding mathematical material both calculation concepts and moral values that have not been well organized. Worksheet designed with using a contextual approach which contains collaboration between material and verses relating to the used material, so that moral values related to the material are obtained and equipped with the application of moral values in the form of problem examples. After being designed, product is developed to be LKPD. The study objectives include: To develop a Mathematics LKPD based on Islamic values on the subject of algebraic. As a result of the study, the development of Student Worksheet (LKPD) based on Islamic values using a contextual approach to the subject of algebraic in class VII of the Qur'an Science Junior High School Minhajuth Thullab Pekalongan. The research uses the 4D development model consists of 4 main stages: Define, Design, Develop and Disseminate. The response of teachers to LKPD based on Islamic values with using a contextual approach on the subject of the algebra score 82% with very interesting criteria. The responses of students to LKPD obtained a score of 80 % with very decent criteria.
Automated Cancer Detection and Classification Artha, Arsya Sinatria; Maseleno, Andino; Hubur, Aa
Dinasti Health and Pharmacy Science Vol. 2 No. 2 (2024): Dinasti Health and Pharmacy Science (October 2024)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dhps.v2i2.1811

Abstract

Detection of cancer is very difficult and need more concern in the field of medical. This paper studies the various causes, types, symptoms of cancer. The main objective of this paper is to design an efficient and effective approach to detect the cancer using image processing. The research proposed an improved hybrid approach for detection and segmentation. The research work includes improvement of microscopic image, then segmentation of cells, extract the features of cancer and then at the final stage it described the classification step. After using different approaches and review several previous approaches this technique used an efficient and appropriate method to design a proposed framework.
Diseases Diagnosis using Machine Learning Artha, Arsya Sinatria; Maseleno, Andino; Hubur, Aa
Dinasti Health and Pharmacy Science Vol. 2 No. 3 (2025): Dinasti Health and Pharmacy Science (January 2025)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dhps.v2i3.1812

Abstract

Method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the information the approach uses computational methods. For recognize and identify the disease correctly a pattern is very necessary in Diagnosis recognition of disease. for creating the different models machine learning is used, this model can use for prediction of output and this output is depend on the input that is related to the data which previously used. For curing any disease it is very important to identify and detect that disease. For classify the disease classification algorithms are used. It uses are many dimensionality reduction algorithms and classification algorithms. Without externally modified the computer can learn with the help of the machine learning. For taking the best fit from the observation set the hypothesis is selected. Multi dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build.
Exploring Cyberbullying: Reporting Practices, Institutional Responses, and Perceptions of Effectiveness Unaliya, Maitri; Kataria, Yachi; Bhutra, Yuvraj; Chauhan, Rahul; Maseleno, Andino; Isnanto, Rizal
Siber International Journal of Advanced Law (SIJAL) Vol. 1 No. 4 (2024): Siber International Journal of Advanced Law (April - June 2024)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijal.v1i4.104

Abstract

This study investigates the experiences and perceptions of individuals regarding cyberbullying, focusing on reporting practices, actions taken after reporting, and the perceived effectiveness of institutional responses in schools, workplaces, and online platforms. Using ANOVA analysis, no significant differences were found across demographic groups concerning these variables. The findings suggest a pervasive lack of reporting, minimal follow-up actions, and general dissatisfaction with institutional efforts to address cyberbullying. These results highlight the need for stronger intervention strategies, improved reporting mechanisms, and enhanced awareness to foster safer digital environments. Future research should focus on the barriers to reporting and explore how different cultural and contextual factors influence perceptions of cyberbullying and institutional responses. The global significance of addressing cyberbullying lies in its potential to improve mental health and digital safety across diverse populations, contributing to a more secure online experience for all.
Developing an Interactive Mathematics Multimedia Learning Based on Ispring Presenter in Increasing Students’ Interest in Learning Mathematics Anwar, M Saidun; Choirudin, Choirudin; Ningsih, Eka Fitria; Dewi, Triana; Maseleno, Andino
Al-Jabar: Jurnal Pendidikan Matematika Vol 10 No 1 (2019): 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.v10i1.4445

Abstract

The purpose of this study is to develop a multimedia learning based on iSpring Presenter to increase students' interest in learning in mathematics. This study uses the ADDIE development model which consists of five stages, namely analysis, design, development, implementation, and evaluation. The data analysis technique used is descriptive quantitative. The results showed that the interactive mathematics multimedia learning based on iSpring Presenter has fulfilled the requirements to be considered feasible to be used in the learning process and is feasible to be used as learning support media to increase students' interest in learning through varied learning activities. 
Exploring Age and Gender Influences on Consumer Behaviour in Online Food Delivery Services Zaveri, Krish; Thacker, Nevil; Patel, Suhani; Meghwal, Mayank; Chauhan, Rahul; Maseleno, Andino; Raisa, Kharchenko
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 6 (2025): Dinasti International Journal of Economics, Finance & Accounting (January - Feb
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i6.4227

Abstract

This study examines the demographics and behaviours of online food delivery service users in Ahmedabad, focusing on age and gender influences. Data from 99 respondents reveal a predominance of young male users, with significant findings indicating that age affects the frequency of service use and satisfaction with issue resolution. Conversely, gender shows no significant impact on usage patterns or customer experiences. The analysis highlights the importance of tailoring marketing strategies to target different age groups while emphasizing universal improvements in service quality. Future research could explore additional demographic factors and regional variations, contributing to a broader understanding of consumer behaviour in the global online food delivery market. These insights are essential for enhancing customer satisfaction and driving growth in this evolving industry.
Perancangan Aplikasi Sistem Penjualan Top-Up Game Online Berbasis Website Memanfaatkan Fitur Mern Fullstack Menggunakan Metode Waterfall Wati, Rina; Jeprianto, Jeprianto; Sudewi, Sudewi; Maseleno, Andino
TEKNIKA Vol. 18 No. 1 (2024): Teknika Januari - Juni 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10614469

Abstract

Game adalah sebuah perangkat lunak yang dirancang untuk memenuhi waktu luang seseorang dengan tujuan mendapatkan hiburan yang diinginkan. Setiap game memiliki sebuah mata uangnya masing-masing yang dapat dibeli oleh pemain dengan tujuan untuk meningkatkan kemampuan pemain dalam game itu sendiri. Dalam pembelian voucher game setiap pemain menginginkan sistem pembayaran yang mudah dan cepat. Melihat permasalahan tersebut, diperlukan suatu rancangan aplikasi berbasis web yang bisa membantu pemain membeli voucher di dalam sebuah game. Aplikasi berbasis web ini akan menampilkan detail voucher game yang sesuai dengan kebutuhan dan pemain dapat melakukan pembelian secara aman dan mudah. Dalam pembuatan sistem ini menggunakan teknologi MERN Stack serta Visual Code studio sebagai tempat penulisan kode. Tujuan dari perancangan aplikasi penjualan top-up voucher game berbasis website yaitu untuk melancarkan proses pelanggan ketika membeli voucher game online serta memberi informasi detail tentang voucher game online. Aplikasi nantinya akan terhubung dengan fitur Digiflazz dan Tripay untuk memudahkan proses transaksi. Dengan adanya website ini proses pemesanan menjadi tidak memerlukan waktu yang lama, karena pelanggan dapat otomatis melakukan pembelian tanpa memerlukan respon dari pihak admin. Pihak admin pun tidak perlu menunggu proses pembayaran dan hanya menunggu notifikasi pembayaran untuk melakukan proses pengiriman voucher game ke pihak pelanggan.
From The Podium To Social Media: The Evolution Of Islamic Da'wah In The Digital Era Yus, Yumaira; Maseleno, Andino
Greenation International Journal of Law and Social Sciences Vol. 3 No. 4 (2025): (GIJLSS) Greenation International Journal of Law and Social Sciences (December
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijlss.v3i4.708

Abstract

The rapid advancement of communication technology has significantly transformed the practice of Islamic da’wah, shifting its delivery from traditional podium-based methods to digital and social media platforms. This paper examines the evolution of Islamic da’wah in the digital era, highlighting the opportunities, challenges, and strategic adaptations required to maintain its effectiveness and ethical foundations. Using a descriptive qualitative methodology with a library research approach, this study analyzes books, scholarly articles, and contemporary research related to digital da’wah. The findings indicate that social media platforms such as YouTube, Instagram, Facebook, and TikTok have expanded the reach of da’wah beyond spatial and temporal limitations, enabling interactive, multimedia, and audience-centered communication. Digital da’wah offers positive impacts, including broader accessibility, two-way interaction, and diverse content formats that appeal particularly to younger generations. However, it also presents challenges such as misinformation, commercialization, algorithm-driven content simplification, and declining digital ethics. Therefore, effective digital da’wah requires strong digital literacy, credible and verified content, ethical communication, sincere intentions, and collaboration among scholars, institutions, and policymakers. The study concludes that while social media is a powerful tool for contemporary da’wah, its success depends on balancing technological innovation with Islamic values and moral responsibility.
The Role of Social Media in Enhancing The Effectiveness of Islamic Da’wah Among Millennial Generations Faozi, Seli Aulia; Maseleno, Andino
International Journal of Psychology and Health Science Vol. 3 No. 4 (2025): International Journal of Psychology and Health Science (October - December 2025
Publisher : Greenation Publisher & Yayasan Global Research National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijphs.v3i4.1798

Abstract

The rapid development of digital technology has significantly transformed the methods and strategies of Islamic da’wah. Social media, as a dominant communication platform among millennials, offers new opportunities to enhance the effectiveness of conveying Islamic messages. This study aims to examine the role of social media in improving the effectiveness of Islamic da’wah among the millennial generation. Employing a descriptive qualitative approach, the research involved Muslim millennials aged 18–30 who actively access da’wah content through platforms such as Instagram, TikTok, YouTube, and Facebook. Data were collected through semi-structured interviews, observation of digital da’wah content, and documentation, and were analyzed using thematic analysis. The findings reveal that social media significantly enhances da’wah effectiveness through broader accessibility, creative and relatable content delivery, and interactive communication between preachers (da’i) and audiences (mad’u). Visual, concise, and contextually relevant da’wah content aligns well with millennial characteristics and increases engagement and understanding of Islamic teachings. However, challenges such as misinformation, differences in religious interpretations, and varying content credibility remain critical concerns. Therefore, the study emphasizes the importance of preacher credibility, content accuracy, ethical communication, and digital literacy among millennials. Overall, when managed responsibly, social media serves as an effective and modern medium for Islamic da’wah in the digital era.
Metaheuristic Hyperparameter Optimization and Explainable Deep Learning for Baggage Threat Detection Maseleno, Andino; Huda, Miftachul; Fudholi, Ahmad; Ratanamahatana, Chotirat Ann
Emerging Science Journal Vol. 10 No. 1 (2026): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-01-06

Abstract

The American Statistical Association reports that Bangkok, the capital and largest city of Thailand, holds the top spot as the most visited city worldwide in 2023. X-ray imaging for security screening plays a crucial role in upholding transportation security by detecting a diverse range of threats or prohibited items carried by passengers. This study introduces an advanced deep learning model leveraging YOLOv8, renowned for its enhanced efficiency in automating baggage detection processes. To enhance the model's hyperparameters and adjust them finely during the training process using the baggage dataset, the system utilized a metaheuristic optimization algorithm known as Evolutionary Genetic Algorithm, which is based on evolutionary principles. Incorporating explainable artificial intelligence techniques such as Local Interpretable Model-Agnostic Explanations (LIME) and Gradient-weighted Class Activation Mapping (Grad-CAM) allows for visual interpretation of predictions, aiding operators in utilizing the model effectively. We trained and tested the baggage dataset, which included 8,312 images and five classes: gun, knife, pliers, scissors, and wrench. The YOLOv8 model achieved the following metrics for the detection of prohibited objects in baggage inspection: an overall precision of 90.5%, recall of 83.3%, mAP50 of 91.3%, and mAP50-95 of 67%. The proposed method can fully automate the recognition of prohibited objects during baggage inspection. This approach is beneficial for designing an integrated, automatic, and non-destructive X-ray image-based classification system.
Co-Authors -, Nungsiyati AA Hubur Agrawal, Heit Ahmad Fudholi Anggia Sari Ani Choirunnisa Anwar, Muhammad Saidun Apsari, Nur Fitri Artha, Arsya Sinatria Bachani, Jenith Baghadiya, Jenik Baldi, Vansh Barvaliya, Ram Bhatt, Aum Bhutra, Yuvraj Bich Huynh, Vy Dang Bich Vu, Ngoc Bohra, Hussain Budi Satiawan Chahwala, Keshav Chatarina Umbul Wahyuni Chauhan, Rahul Choirudin, Choirudin Choirunnisa, Ani Citra Dewi Citrawati Jatiningrum Damayanti, Alfina Danar Aulia Husnan Dang Vo, Khoa De Brito Silva, Gabriel Deep P, Baraiya Dhaakad, Deepak Dhanak, Jaydev Dhruv, Aryan Dwivedi, Shaurya Eka Fitria Ningsih Eva Yuliana Faozi, Seli Aulia Fauzi Fauzi Fauzi Fauzi Fiqih Satria Gabriel De Brito Silva Gabriel De Brito Silva Gafurjiwala, Moh. Kaif Goyal , Vikas Guha, Tannay Gurjar, Krishna Hamzah Hamzah Hasanah, Khuswatun Hashim, Wahidah Hendra Hendra Husnan, Danar Aulia Ipin Prasojo Ipin Prasojo, Ipin Isnaini, Nurlaila Jadhwani, Om Jaju, Pooja Jeprianto, Jeprianto Kacchara, Gul Kachhadiya, Diya Kamya, Bhatt Kataria, Yachi Khakhar, Bhavik Khoa Dang Vo Khubchandani, Sania Khuswatun Hasanah Kotak, Yash Kristina, Marilin Laksono Trisnantoro Le Hoang Thuy To Nguyen, Quyen Loan Phuc Le Machhvara, Jenil Makhija, Hitesh Marselina Jupon, Rara Meet Shah, Meet Meghwal, Mayank Mehta, Hitarth Mehta, Meet Mendpara, Lucky Mian Usman Sattar Miftachul Huda Miswan Gumanti Mohnia, Tiya Monpara, Yesha Muhammad Miftahussurur Muhammad Muslihudin Muhtadin Arrosyid Muhtadin Asnady Murti, Sri Nagani, Purva Nagdevani, Dev Naik, Pratham Ngoc Bich Vu Nishith Shahu Nungsiyati Nungsiyati Nur Aminudin Nur Azizah nurul latifah Omar tanane Omar Tanane Padaliya, Om Padang Tunggal, Tatiya Parchani, Nilesh Patel, Diya Patel, Hetvi Patel, Kavya Patel, Raj Patel, Suhani Patel, Tarang Patel, Vasu Petel, Bhavya Phong Thanh Nguyen Phuc Le, Loan Phuong Thanh Phan Prajapati, Hetal Prisma Megantoro Quyen Le Hoang Thuy To Nguyen R Rizal Isnanto R. Rizal Isnanto Rahul Chauhan Rais Zulkarnain Raisa, Kharchenko Raithatha, Bhavya Rajapara, Monil Rajkotiya, Abhi Rakesh Shah, Arya Ramchandani, Paras Ramrakhya, Divesh Ratanamahatana, Chotirat Ann Rathod, Lakshita Rika Fetricia Rina Wati Rizal Isnanto, R Rizal Isnanto, R. Sah, Aditya Sakaria, Anuchi Samsukha, Akshita Samtani, Heena Sapra, Ruchi Satria Abadi Satria, Fiqih Sattar, Mian Usman Septia Nagara, Erliza Seth, Dhruv Shah, Dhwanit Shah, Fenil Shah, Hitarth Shah, Nirmit Shah, Stuti Shah, Supan Shah, Tanish Shahu, Nishith Sharma, Ansh Sharma, Yajurv Shriyal, Harsh Shubham, Chavda Sigit Soijoyo Silva, Gabriel De Brito Singh, Pushpendra Sinh Zala, Harshvadhan Sodikin Sodikin Sompura, Jayesh Sri Murti Store, Shreyas Suda, Pranjal Sudewi Sudewi Suyono Suyono Tanane, Omar Tatiya Padang Tunggal Thacker, Nevil Thakkar, Krish Thakur, Aryan Thanh Nguyen, Phong Thanh Phan, Phuong Tri Ayu Septiana Tri Susilowati Triana Dewi Triana Dewi Trisnawati Trivedi, Pratham Unaliya, Maitri Vaghela, Sidhraj Vaja, Hitarthsinh Viramgama, Netra Vy Dang Bich Huynh Wahidah Hashim Yash, Panchal Yus, Yumaira Zalariya, Nihal Zaveri, Krish Zulkifli