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All Journal Jurnal Ilmiah Sinus Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) MASALIQ: Jurnal Pendidikan dan Sains Electronic Journal of Education, Social Economics and Technology JGHTT
Dimas Pamilih Epin Andrian
Politeknik Nest
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Veterinary Other

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SISTEM PAKAR UNTUK MENENTUKAN RUMAH TANGGA MISKIN (RTM) DENGAN METODE NAIVE BAYES Dimas Pamilih; Didik Nugroho; Sri Tomo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 4, No 2 (2016): JURNAL TIKomSiN
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (995.013 KB) | DOI: 10.30646/tikomsin.v4i2.268

Abstract

Rumah Tangga Miskin adalah merupakan kelompok masyarakat yang mempunyai kondisi ketidakmampuan untuk memenuhi kebutuhan dasar hidup, kondisi yang terkucilkan di sosial masyarakat, kurangnya penghasilan dan kekayaan, untuk menentukan rumah tangga miskin harus melalui beberapa tahapan yang cukup lama. Maka dibuatlah aplikasi dengan metode naive-bayes untuk proses perhitungannya dengan tujuan membuat sistem pakar untuk menentukan rumah tangga miskin dengan cepat. Proses dimulai dari pencarian kriteria rumah tangga miskin dan membuat data training dengan metode penelitian observasi, study pustaka serta wawancara. Langkah selanjutnya adalah perhitungan metode naive-bayes yang menghasilkan nilai kemungkinan berdasarkan klasifikasi, dan nilai terbesar pada klasifikasi tertentu itu yang di pakai untuk menentukan rumah tangga miskin. Hasil dari penelitian ini berupa aplikasi website interface, dan hasil pengujian keakuratan data naive-bayes dilakukan dengan 22 datatraining yang di uji dibandingan dengan program,di dapatkan nilai akurasi sebesar 100% dengan catatan belum ada perubahan pada data training.Kata kunci : Sistem Pakar, Naive-Bayes, Rumah Tangga Miskin, website.
KARAKTERISTIK METADATA PADA SHARING FILE DI MEDIA SOSIAL UNTUK MENDUKUNG ANALISIS BUKTI DIGITAL Dimas Pamilih Epin Andrian; Dhomas Hatta Fudholi; Yudi Prayudi
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.494

Abstract

Metadata is information in a file which its contents are an explanation of the file. Metadata contains information about the contents of data for file management purposes. In various cases involving digital evidence, investigators can uncover a case through the metadata file. Problems that arise when file metadata has changed or deleted information, for example, the moment that a file is shared via social media. Basically, all of the shared files through social media will experience changes in metadata information. This study conducted detailed analysis of changes in metadata information and hex dump values to determine the changing characteristics of metadata files shared in social media. This research method applied a comparison table to see the details of changes in metadata values from all files and social media as research objects. The results of this study are expected to have contribution for forensic analysts to identify the shared metadata characteristics of files in social media. As a result, later, the source of shared files in social media will be known. Moreover, it is expected from these findings that forensic analysts can explore the social media used by the cybercrime perpetrators.
Optimizing Student Internship Management Through a Cutting-Edge Technology-Based Website System at Politeknik Nest Dimas Pamilih Epin Andrian; Muhammad Hassan Massaty; Slamet Kurniawan Fahrurozi
Journal of Global Hospitality and Tourism Technology Vol. 1 No. 2 (2024): Journal of Global Hospitality and Tourism Technology - December 2024
Publisher : Politeknik NEST

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14287767

Abstract

The Student Internship Program is a mandatory course for all Diploma-3 students at Politeknik Nest Sukoharjo. The information required by students and lecturers regarding the Student Internship Program is extensive, and the service is not yet computerized. The purpose of this research is to develop an information system by designing and building a website for recording student internships at Politeknik Nest Sukoharjo. In accordance with the research objectives, this study employs methods such as observation, interviews, document analysis, and literature review. The case study for this research is the Development of a Student Internship Recording Website for Politeknik Nest Sukoharjo. The Student Internship Information System serves as a tool to assist institutions, students, and lecturers in the student internship process. This system is developed as a web-based application using a MySQL database and PHP programming language
Dampak Teknologi Informasi Berbasis Artificial Intelligence terhadap Kepuasan dan Loyalitas Wisatawan: Tinjauan Systematic Literature Review Fahrurozi, Slamet Kurniawan; Epin Andrian, Dimas Pamilih
MASALIQ Vol 5 No 2 (2025): MARET
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i2.5040

Abstract

This study aims to analyze the impact of Artificial Intelligence (AI)-based information technology on tourist satisfaction and loyalty through a systematic literature review method. Following the PRISMA guidelines, researchers conducted a literature search in the ScienceDirect and SpringerLink databases using keywords such as "artificial intelligence," "tourist satisfaction," and "tourist loyalty." Of the 40 articles identified, 12 articles met the inclusion criteria and were analyzed thematically. The results showed that AI significantly improves tourist satisfaction through service personalization, operational efficiency, and better interactions. Applications such as recommendation systems, chatbots, and predictive analytics have proven effective in improving the tourist experience. However, the implementation of AI also faces challenges such as data privacy, algorithmic bias, and low technology adoption. The implications of this study are the importance of optimizing the use of AI by ensuring data security, reducing bias, and improving education for service providers and tourists. This study provides recommendations for further research, including exploring the impact of AI on specific tourist segments and investigating the long-term impact on loyalty.
From Development to Implementation: Usability and Performance Evaluation of an Internship System Andrian, Dimas Pamilih Epin; Massaty, Muhammad Hassan
MASALIQ Vol 5 No 2 (2025): MARET
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i2.5078

Abstract

This study aims to develop a web-based internship management system to enhance efficiency, transparency, and usability for students and university administrators. Traditional internship management methods often suffer from inefficiencies and limited accessibility, necessitating a more structured digital approach. By integrating User-Centered Design (UCD) and Feature-Driven Development (FDD), an Agile methodology, this research focuses on improving system usability and user experience. The method involved data collection through interviews with students and university administrators to identify key requirements. The platform was developed iteratively, incorporating continuous feedback to ensure alignment with user needs. Feature prioritization and incremental implementation allowed for a structured approach to system refinement, resulting in a more effective and adaptable solution. The results indicate that the developed platform successfully addresses key challenges in internship tracking, document management, and communication. Usability evaluations using User Experience Quality (UEQ) metrics show high satisfaction in accuracy, efficiency, and clarity, while engagement remains an area for further improvement. This research contributes to digital transformation in internship management, with future potential for AI-driven automation in feedback analysis and internship matching.
Pengalaman Pengguna Pada Platform Magang : Pengembangan Dan Evaluasi Melalui Pengujian Berbasis UEQ Massaty, Muhammad Hassan; Andrian, Dimas Pamilih Epin; Fahrurozi, Slamet Kurniawan
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.928

Abstract

This study investigates the development and evaluation of the User Experience (UX) of a web-based internship platform aimed at enhancing communication and collaboration between students and campus staff. The platform was developed using a User-Centered Design (UCD) approach, incorporating user feedback at each stage of the design process. Prior to system development, interviews were conducted with both students and campus staff to identify existing challenges. The findings revealed that 80% of students encountered difficulties in accessing up-to-date internship information, 70% struggled to track the progress of their applications, and 60% reported insufficient feedback from industry partners or campus coordinators. Additionally, 60% of campus staff faced challenges in managing communication and providing timely updates on internship applications. Based on these insights, the platform was designed to address these issues. UX evaluation was performed using the User Experience Questionnaire (UEQ), assessing dimensions of attractiveness, usability, efficiency, and emotional satisfaction. The results demonstrated that the platform successfully met user expectations in terms of accuracy and novelty; however, the stimulation dimension requires further refinement. This study underscores the significance of adopting a UCD approach in the development of educational platforms and offers valuable insights for future research on web-based platforms in educational contexts.
Artificial Intelligence as an Innovative Technology for Digital Promotion of Solo’s Culinary Heritage towards Sustainable Fahrurozi, Slamet Kurniawan; Rachmawati, Annisa Noor; Andrian, Dimas Pamilih Epin
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1129

Abstract

This study investigates the role of artificial intelligence (AI) as an innovative technology for promoting Solo’s culinary heritage and its contribution to sustainable tourism. Using a mixed-method approach, the research employed the ARF (Attention, Branding, Communication, Motivation, Emotional Response, Memory/Recall, Purchase Intent) and AIDA (Attention, Interest, Desire, Action) models to evaluate consumer responses. Data were collected from 100 respondents through questionnaires and from 20 participants via qualitative discussions. The quantitative findings indicate that AI-driven promotional materials are effective in generating awareness and positive perceptions, particularly in attention (M = 4.05) and communication (M = 3.92), but less effective in driving direct consumer action (M = 3.42). Qualitative insights highlight the importance of cultural authenticity and the need to balance technological innovation with human-centered narratives. Moreover, the study demonstrates AI’s contribution to sustainable tourism across four dimensions: economic (supporting small businesses), cultural (preserving heritage), social (enhancing inclusivity and engagement), and environmental (reducing waste through predictive analytics). In conclusion, AI emerges as a powerful tool not only for digital promotion but also as a catalyst for sustainable tourism development. The integration of AI into culinary promotion offers a replicable model for other cities seeking to balance economic growth, cultural preservation, and sustainability in line with the United Nations Sustainable Development Goals (SDGs).
Co-Authors Dhomas Hatta Fudholi Didik Nugroho Muhammad Hassan Massaty, Muhammad Hassan Rachmawati, Annisa Noor Slamet Kurniawan Fahrurozi slamet kurniawan fahrurozi, slamet kurniawan Sri Tomo Yudi prayudi