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All Journal RISTEK : Jurnal Riset, Inovasi, dan Teknologi Kabupaten Batang Mejuajua RISTEK: Jurnal Riset, Inovasi dan Teknologi Kabupaten Batang Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Sisfo: Jurnal Ilmiah Sistem Informasi Technologica Jurnal Abdimas Maduma Jurnal Sains dan Teknologi Informasi Riau Jurnal Teknik Informatika Jurnal Bakti Dirgantara Expert Net: Exploration Journal of Technological Education Trends Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Lumbung Ngabdi: Jurnal Pengabdian Masyarakat Smart Humanity: Jurnal Pengabdian Masyarakat
Atika Fauziyyah
Institut Teknologi Mitra Gama
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Rancang Bangun Sistem Pakar Berbasis Web untuk Diagnosis Kerusakan Smartphone Menggunakan Metode Forward Chaining Atika Fauziyyah; Dori Gusti Alex Candra; Eka Sofiati; Budi Permana Putra; M. Agung Vafky Ideal; Asep Supriyanto
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4672

Abstract

The rapid advancement of information technology has made smartphones essential devices for supporting various daily activities. Intensive smartphone usage may lead to hardware and software failures, while users' limited knowledge in identifying these failures often results in improper troubleshooting. This study aims to design and develop a web-based expert system for diagnosing smartphone failures using the Forward Chaining method. The system was developed through requirements analysis, expert knowledge acquisition, knowledge base design, rule base construction, method implementation, and system testing. The knowledge base consists of 15 symptoms, 10 types of smartphone failures, and 20 diagnostic rules. The results of Black Box Testing showed that all system functions operated according to the specified requirements with a 100% success rate. Furthermore, validation using 20 test cases demonstrated that 19 system diagnoses were consistent with expert diagnoses, resulting in an accuracy of 95%. The developed expert system can assist users and technicians in performing initial smartphone failure diagnosis quickly, accurately, and efficiently.
Selection-Based Optimization of Naive Bayes and Decision Trees for Intelligent Classification of Sharia Financing Eligibility Tomy Nanda Putra; Atika Fauziyyah; Dori Gusti Alex Candra; Eka Sofiati
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 2 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2026 (In Press)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i2.27634

Abstract

Assessing sharia financing eligibility is a critical process for Islamic microfinance institutions such as Baitul Maal wat Tamwil (BMT), as inaccurate financing decisions may increase financing risk and affect institutional sustainability. However, financing evaluations are often conducted manually and rely heavily on subjective judgment, leading to inconsistencies and potential bias in decision-making. Therefore, this study aims to evaluate the effectiveness of Correlation-Based Feature Selection (CFS) in identifying relevant financing attributes and to compare the classification performance of the Naïve Bayes and Decision Tree (J48) algorithms for sharia financing eligibility assessment. The dataset used in this study consists of 500 historical financing records obtained from BMT Indragiri, comprising 127 eligible and 373 ineligible financing applications. The research process included data preprocessing, feature selection using CFS with the BestFirst search strategy, model construction, and classification using WEKA 3.8. Model performance was evaluated using 10-fold cross-validation based on accuracy, precision, recall, F1-score, Kappa statistic, and Area Under the Curve (AUC). The feature selection results showed that all predictor attributes, namely income, number of dependents, employment status, and financing history, were retained by the CFS algorithm, indicating that each attribute contributes relevant information to financing eligibility classification. Experimental results revealed that the Naïve Bayes classifier achieved an accuracy of 92.4%, precision of 92.3%, recall of 92.4%, F1-score of 92.2%, Kappa statistic of 0.7896, and AUC of 0.971. Meanwhile, the Decision Tree (J48) classifier achieved superior performance with an accuracy of 95.6%, precision of 95.7%, recall of 95.6%, F1-score of 95.6%, Kappa statistic of 0.8851, and AUC of 0.957. In addition, the Decision Tree model generated 23 decision rules and a tree size of 42 nodes, providing transparent and interpretable knowledge to support financing eligibility assessment. The findings indicate that the Decision Tree (J48) algorithm outperformed Naïve Bayes in classifying sharia financing eligibility and offers the additional advantage of interpretable decision rules. The proposed approach can support more objective, consistent, and transparent financing decision-making processes in Islamic microfinance institutions.
Peningkatan Kapasitas Dosen Pembimbing Praktik Kerja Lapangan melalui Bimbingan Teknis dan Lokakarya Partisipatif di Institut Teknologi Mitra Gama Dori Gusti Alex Candra; Atika Fauziyyah; Khelvin Ovela Putra; Zaharani Yusno; Sonya Ostha Laurency; Eka Sofiati; M. Agung Vafky Ideal; Tomy Nanda Putra; M. Hafizh Gusra
Jurnal Bakti Dirgantara Vol. 3 No. 2 (2026): Jurnal Bakti Dirgantara
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/5ebc3663

Abstract

Field Work Practice (PKL) serves to bridge the gap between the competencies taught in higher education and the actual needs of the business and industrial sectors (DU/DI). However, the effectiveness of PKL is often hindered by a focus on administrative guidance alone. This Community Service (PkM) activity aims to enhance the capacity of Field Supervisors (DPL) at the Mitra Gama Institute of Technology (ITMG) as the internal target audience. The activity was held on May 1–3, 2025, in the ITMG Auditorium for a duration of 24 instructional hours, involving 30 active faculty members at Mitra Gama Institute of Technology who were selected based on specific inclusion criteria. The implementation methods included technical guidance, focus group discussions (FGDs), and workshops. The activity was evaluated using a one-group pretest-posttest pre-experimental design through structured questionnaires, as well as an analysis of the feasibility of the Follow-Up Action Plan (RTL) documents. Data were analyzed using descriptive statistics and content analysis. The results of the program showed an increase in participants’ cognitive knowledge and managerial readiness, as evidenced by a 38% increase in the average post-test score compared to the pre-test score. In addition, the program successfully facilitated the preparation of 30 independent Action Plan (RTL) documents and produced an institutional output in the form of a draft proposal for restructuring the internship evaluation rubric with a 50:50 ratio.
Analysis and Design of Susuka Hotel's Ordering and Payment Information System Using the Waterfall Method Zahara; Dori Gusti Alex Candra; Eka Sofiati; Atika Fauziyyah; Jufri Jufri
Expert Net: Exploration Journal of Technological Education Trends Vol. 2 No. 2 (2025): Edisi Desember
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/expertnet.v2i2.731

Abstract

The reservation and payment information system at Susuka Hotel is an essential requirement to support operational efficiency and effectiveness. This study aims to analyze and design an information system that facilitates a faster and more convenient reservation and payment process, thereby improving customer service quality. The method used in this study is the Waterfall method, which consists of several stages: requirements analysis, system design, implementation, testing, and maintenance. During the analysis stage, data were collected through interviews and observations to understand the needs of the hotel and its customers. The system design results include the development of a user interface, database structure, and workflow for the reservation and payment processes. With the implementation of this system, Susuka Hotel is expected to enhance operational efficiency, reduce manual errors, and provide a better experience for customers. This information system is implemented using web-based programming to enable real-time access and ease of use.
Penguatan Kompetensi Pendidik dalam Menghadapi Generasi Z di Era Teknologi (Studi Kasus Institut Teknologi Mitra Gama) Tomy Nanda Putra; M. Agung Vafky Ideal; Atika Fauziyyah; Adi Prastya; Idir Fitriyanto; Zaharani Yusno; Dori Gusti Alex Candra; Budi Permana Putra; Eka Sofiati
JURNAL ABDIMAS MADUMA Vol. 4 No. 3 (2025): Oktober, 2025
Publisher : English Lecturers and Teachers Association (ELTA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/jam.v4i3.518

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan memperkuat kompetensi dosen Institut Teknologi Mitra Gama dalam menghadapi tantangan mengajar Generasi Z di era teknologi. Program dilaksanakan melalui tiga tahap: persiapan, implementasi, dan evaluasi. Tahap persiapan dilakukan dengan survei kebutuhan dosen. Implementasi meliputi penyampaian materi tentang karakteristik mahasiswa Gen Z, strategi komunikasi positif, pemanfaatan media digital, serta praktik perancangan pembelajaran interaktif. Evaluasi dilakukan melalui pre-test, post-test, dan observasi keterlibatan peserta. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan dosen dalam merancang pembelajaran yang relevan dengan kebutuhan Gen Z. Sebanyak 84% peserta memperoleh  wawasan baru, dan 71% merasa lebih percaya diri memanfaatkan media digital. Peserta juga menekankan pentingnya suasana kelas yang kolaboratif dan empatik. Keterbatasan utama kegiatan ini adalah durasi pelatihan yang singkat, sehingga diperlukan tindak lanjut berupa workshop serial atau pendampingan berkelanjutan. Kata Kunci :Penguatan kompetensi; dosen; Generasi Z; pembelajaran interaktif; media digital; pengabdian kepada masyarakat
Peningkatan Keterampilan Manajemen Referensi Melalui Pelatihan Mendeley Bagi Mahasiswa di Era Digital Dori Gusti Alex Candra; Atika Fauziyyah; Irzon Meiditra; Eka Sofiati; Budi Permana Putra; Khelvin Ovela Putra; Roki Hardianto
Lumbung Ngabdi: Jurnal Pengabdian Masyarakat Vol. 3 No. 3 (2025): Desember
Publisher : Pusat Kajian dan Pengembangan Publikasi Ilmiah Institut Agama Islam Hamzanwadi Nahdlatul Wathan Lombok Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51806/ngabdi.v3i3.49

Abstract

Di era digital, kemampuan manajemen referensi menjadi kompetensi krusial bagi mahasiswa untuk menjamin kualitas dan integritas karya ilmiah. Namun, temuan di lapangan menunjukkan bahwa banyak mahasiswa masih menyusun sitasi dan daftar pustaka secara manual, yang mengakibatkan ketidakkonsistenan format, inefisiensi waktu, serta tingginya risiko plagiarisme tak disengaja. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan literasi digital mahasiswa melalui pelatihan intensif penggunaan perangkat lunak Mendeley. Metode pelaksanaan diterapkan secara luring melalui tahapan terstruktur, meliputi survei analisis kebutuhan, pemaparan materi teoritis, demonstrasi teknis, serta pendampingan praktik langsung (hands-on). Pelatihan ini memfokuskan pada penguasaan instalasi perangkat lunak, manajemen metadata referensi, hingga integrasi plugin sitasi otomatis pada Microsoft Word. Evaluasi efektivitas program dilakukan menggunakan instrumen pre-test dan post-test terhadap peserta. Hasil kegiatan menunjukkan peningkatan kompetensi yang signifikan, di mana 85% peserta mencapai tingkat kemahiran tinggi dan mampu mengoperasikan fitur-fitur Mendeley secara mandiri untuk kebutuhan tugas akhir. Hanya sebagian kecil peserta (15%) yang memerlukan bimbingan tambahan terkait kendala teknis dasar komputer. Keberhasilan program ini juga didukung oleh pembentukan grup konsultasi daring sebagai sarana pendampingan berkelanjutan pasca-pelatihan. Kesimpulannya, pelatihan ini terbukti efektif dalam mentransformasi pola kerja penulisan ilmiah mahasiswa menjadi lebih sistematis dan akurat, sekaligus meminimalisir potensi kesalahan akademik dalam penyusunan skripsi maupun publikasi ilmiah
Evaluasi Kepuasan Pengguna Sistem Informasi Akademik Menggunakan Metode End User Computing Satisfaction Prama Dita Laura; Yana Khairun Nisak D; Dori Gusti Alex Candra; Atika Fauziyyah; Leonard Tambunan; Jufri Jufri
Jurnal Sains dan Teknologi Informasi Vol 5 No 2 (2026): Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v5i2.9846

Abstract

Digital transformation in higher education requires academic data management that is not only technically functional but also capable of satisfying its users. This study aims to evaluate user satisfaction with the Academic Information System (SIAKAD) at Mitra Gama Institute of Technology using the End User Computing Satisfaction (EUCS) framework. The research method used was descriptive quantitative, involving 28 active user respondents selected through purposive sampling. The evaluation was conducted across five main dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Data were collected using a Likert-scale questionnaire that had been validated using Pearson’s correlation and tested for reliability with Cronbach’s Alpha (0.947). The analysis results showed that user satisfaction levels varied across each dimension. The Content dimension received the highest score of 71.42%, followed by the Accuracy dimension at 60.72%, both of which fell into the “good” category. However, the Format dimension recorded the lowest score of 53.55%, rated as “fair,” indicating significant complaints regarding the user interface, which was deemed unresponsive and rigid. Meanwhile, the Timeliness dimension scored 43.74% and Ease of Use scored 41.97%. The study’s findings concluded that while SIAKAD has functionally been able to provide relevant content, there is an urgent need to improve visual aesthetics, navigation flow efficiency, and server performance stability—especially during peak access periods. The proposed strategic recommendations include migrating to a more modern interface design and optimizing real-time data synchronization to holistically enhance the user experience.
Pengembangan Sistem Informasi Manajemen Bimbingan Belajar Berbasis Web dengan Pendekatan Data Mining untuk Analisis Performa Siswa Menggunakan Framework Laravel Atika Fauziyyah; Tomy Nanda Putra; Dori Gusti Alex Candra; M. Agung Vafky Ideal; Budi Permana Putra
Jurnal Sains dan Teknologi Informasi Vol 5 No 2 (2026): Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v5i2.9855

Abstract

This research is motivated by the need for a system capable of managing tutoring institution data effectively while accurately analyzing student performance. The main problem at Brigade Nusantara is that data management is still conducted manually and there is no data-based analysis available to support decision-making processes. This study aims to develop a web-based Tutoring Management Information System using the Laravel framework with a data mining approach to analyze student performance. The system development method includes the stages of requirements analysis, system design, implementation, and testing. The data mining approach is utilized to process students’ historical data in order to generate information in the form of performance patterns, learning progress levels, and recommendations for academic improvement. The results of the study indicate that the developed system is capable of improving data management efficiency, facilitating the monitoring of student progress, and supporting accurate and data-driven decision making. Therefore, this system is expected to enhance the overall quality of tutoring services and assist administrators in developing more effective and targeted learning strategies.
Penguatan Kesiapan Karier Mahasiswa Melalui Capacity Building Artificial Intelligence Dan Cyber Security Di Era Transformasi Digital Dori Gusti Alex Candra; Atika Fauziyyah; Tomy Nanda Putra; M. Agung Vafky Ideal; Leonard Tambunan; Teuku Radillah; Eka Sofiati; Budi Permana Putra; Khelvin Ovela Putra
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 6 No. 1 (2026): Agustus 2026
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuaj.abdimas.v6i1.397

Abstract

The era of digital disruption and the transition toward Society 5.0 require university graduates to develop adaptive digital competencies, including Artificial Intelligence (AI) literacy and Cyber Security awareness, as essential components of career readiness. However, preliminary observations indicated that many students still use digital technologies primarily as end users, with limited understanding of the ethical use of AI and fundamental cybersecurity practices. This Community Service Program (PkM) aimed to enhance the career readiness of students at Institut Teknologi Mitra Gama by strengthening their AI literacy and cybersecurity competencies. The program adopted a capacity-building approach through a National Seminar consisting of three stages: needs analysis, educational sessions on prompt engineering and cyber hygiene, and program evaluation. A total of 250 students participated in the program. Evaluation was conducted using pre-test and post-test instruments to measure participants' knowledge improvement, complemented by a questionnaire to assess participants' perceptions of the program's relevance and usefulness. The data were analyzed descriptively by comparing the mean pre-test and post-test scores and calculating the percentage of participants' responses. The results showed that the average score increased from 46.5 in the pre-test to 84.2 in the post-test. This improvement indicates enhanced understanding of the ethical use of AI, effective prompt engineering techniques, and basic cybersecurity practices. Furthermore, 94% of the participants reported that the program was relevant and applicable to the development of their digital competencies and professional portfolios. These findings suggest that an interactive educational approach based on industry case studies has the potential to improve students' AI literacy and cybersecurity awareness and may serve as an alternative model for strengthening digital competencies in higher education.
Co-Authors Afrianto, Nurdi Asep Supriyanto Budi Permana Putra Budi Permana Putra Budi Permana Putra Dori Gusti Alex Candra Eddis Syahputra Pane, Eddis Syahputra Eka Sofiati Eka Sofiati Eka Sofiati Gusti Alex Candara, Dori Idir Fitriyanto Idir Irzon Meiditra Jufri Jufri Jufri Jufri Juwita Azizah Khelvin Ovela Putra Khelvin Ovela Putra Leonard Tambunan Leonard Tambunan Leonard Tambunan M Agung Vafky Ideal M. Agung Vafky Ideal M. Agung Vafky Ideal M. Hafizh Gusra Prama Dita Laura Prastya, Adi Radillah, Teuku Rahmi Aulia Roki Hardianto Sofiati, Eka Sonya Ostha Laurency Tomy Nanda Putra Yana Khairun Nisak D Zahara Zaharani Yusno Zaharani Yusno