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All Journal Journal of Educational Science and Technology Jurnal Komputer Terapan Seminar Nasional Teknologi Informasi Komunikasi dan Industri JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Media Informatika Jurnal Pengabdian Masyarakat Multidisiplin Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Ilmiah Raflesia Akuntansi Jurnal Nasional Teknik Elektro dan Teknologi Informasi Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Proceeding Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat)
Nurmalasari, Dini
Politeknik Caltex Riau
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INTEGRASI NAIVE BAYES DAN ITEM-BASED COLLABORATIVE FILTERING DALAM SISTEM PEMETAAN KOMPETENSI MAHASISWA Nurmalasari, Dini; Fadhli, Mardhiah; Yuli Fitrisia, Yuli Fitrisia; Yuliantoro, Heri R
Jurnal Komputer Terapan Vol 11 No 1 (2025): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v11i1.6612

Abstract

Preparing a strong portfolio is a crucial aspect for students in entering the workforce, one of which can be achieved through participation in various competitions. However, selecting competitions that align with student competencies remains a challenge due to the abundance of competition information, diversity in student interests and abilities, and limitations in budget, time, and resources. This study develops a recommendation system based on a Hybrid Recommendation System designed to map student competencies to relevant competition types. The system integrates the Naive Bayes method to classify student competencies and Item-Based Collaborative Filtering to calculate similarities between competition types based on other users’ preferences. The system is developed incrementally using the waterfall approach, including the stages of planning, analysis, design, implementation, and testing. The model follows standard machine learning workflows, comprising data collection, exploration and preprocessing, model building, performance evaluation, and method integration. The research data includes student profiles, competencies, and competition preferences collected through surveys and internal databases. Evaluation results indicate that the system successfully provides relevant competition recommendations with an accuracy rate of 70%. These results demonstrate the system’s contribution in assisting students to select competitions that match their competencies, presented in a user-friendly web-based application.
Pelatihan Pembuatan Konten Digital Marketing Untuk Siswa SMKN 6 Pekanbaru Yuliantoro, Heri Ribut; Arifulsyah, Hamdani; Mirza, Junaldo; Nurmalasari, Dini; Fadhly, Mardhiah
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 3 No. 2 (2025): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jiter-pm.v3i2.6665

Abstract

Keterampilan dalam membuat konten yang menarik bagi milenial, terutama siswa/i SMA/SMK sederajat sangat penting pada era digital marketing saat ini. Dengan memanfaatkan fitur-fitur aplikasi yang sudah familiar bagi siswa/i banyak konten yang menarik yang dapat dibuat dengan terus mengembangkan budaya eksplorasi dan kreatifitas..Kegiatan pelatihan membuat konten yang menarik dengan memanfaatkan Microsoft Powerpoint sangat bermanfaat dalam pengembangan kreatifitas siswa/i untuk mendukung pemasaran produk/jasa ditempat mereka bekerja nantinya. Hal ini juga nantinya akan menambah kompetensi yang akan meningkatkan daya saing pada saat mereka memasuki dunia kerja. Luaran dari kegiatan pengabdian masyarakat ini adalah: Publikasi berita pada media resmi Politeknik Caltex Riau baik itu situs resmi ataupun instagram dan publikasi pada Jurnal Ilmiah/Seminar Ilmiah. Kegiatan ini telah dilakukan pada 18 Oktober 2024 di Laboratorium Komputer SMKN 6 Pekanbaru dengan jumlah peserta 32 siswa/i dan 4 guru pendamping SMKN 6 Pekanbaru.
Analisis Faktor-Faktor Yang Mempengaruhi Minat Mahasiswa Dalam Pemilihan Karir Menjadi Auditor (Studi Empiris Pada Mahasiswa Akuntansi Perpajakan Politeknik Caltex Riau) Yuliantoro, Heri R; Nurmalasari, Dini; Putri Radha
Jurnal Ilmiah Raflesia Akuntansi Vol. 11 No. 2 (2025): Jurnal Ilmiah Raflesia Akuntansi
Publisher : Politeknik Raflesia Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study is to ascertain how accounting students' interest in a career as auditors is influenced by societal values, the workplace, financial incentives, job market factors, and personality. The subjects of this study are Caltex Riau Polytechnic students enrolled in the tax accounting study program. 201 Caltex Riau Polytechnic tax accounting study program students made up the research's population. This study's sample consisted of 66 students from tax accounting education programs in their 20th and 21st generations. By using Likert scale-based surveys to gather data, this study employs quantitative approaches. Primary data was employed as the data source for this study. Descriptive statistical analysis, data quality testing, traditional assumption testing, and hypothesis testing are the data analysis methods employed in this study. SPSS 23 is the media or analytical tool utilized in this study. According to the study's findings, the factors of social values, the workplace culture, and financial incentives significantly and negatively affect accounting students' interest in pursuing a career as auditors, whereas personality traits and job market considerations significantly and favorably influence this interest.
Pengujian Kualitas Coding Pada Aplikasi Bank Sampah DLHK Kota Pekanbaru Menggunakan Code Smell Tools fadhli, mardhiah; Yuli Fitrisia; Nurmalasari, Dini
Jurnal Komputer Terapan Vol 10 No 1 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i1.6211

Abstract

Kualitas dari kode program akan mempengaruhi kemampuan perangkat lunak untuk dapat mudah dimodifikasi dan dikembangkan serta dipelihara. Code smells merupakan suatu karakteristik dari perangkat lunak yang mengindikasikan permasalahan pada kode dan desain perangkat lunak yang mengakibatkan perangkat lunak sulit untuk dikembangkan dan dilakukan pemeliharaan. Deteksi code smell perlu dilakukan agar dalam pengembangan kedepannya aplikasi dapat lebih mudah dimodifikasi dan dikembangkan. Deteksi code smell dalam sebuah aplikasi dapat membantu programmer untuk mengidentifikasi adanya rancangan kode program yang dapat menyulitkan kedepannya untuk dilakukan modifikasi dan pengembangan. Pendeteksian Code Smell pada aplikasi Bank Sampah DLHK Kota Pekanbaru dilakukan karena adanya permintaan kebutuhan untuk perbaikan dan penambahan fitur dari Bank Sampah DLHK Kota Pekanbaru. Permintaan perbaikan dan penambahan fitur pada aplikasi Bank Sampah DLHK Kota Pekanbaru dilakukan berdasarkan hasil evaluasi aplikasi sebelumnya yang dilakukan oleh pihak DLHK Kota Pekanbaru kepada 10 Bank Sampah Unit dan 25 Nasabah. Berdasarkan hasil evaluasi dan uji coba aplikasi, maka perlu dilakukan penyesuaian karena adanya ketidaksinkronisasian proses dengan mekanisme yang sedang berjalan dimasyarakat terhadap fitur pada aplikasi tersebut. Untuk memudahkan proses modifikasi program maka pendeteksian code smell pada aplikasi yang sudah ada perlu dilakukan, agar programmer dapat menjaga kualitas kode program menjadi lebih mudah untuk dikembangkan. Deteksi Code Smell dilakukan dengan menggunakan tool SonarQube. Hasil dari pengukuran dari dua aplikasi Bank Sampah adalah, pada aplikasi Basada berbasis mobile terdapat 126 Code smells dengan estimasi waktu perbaikan sekitar 2 jam 34 menit. Sedangkan pada aplikasi Basada berbasis website terdeteksi 25 Code smells dengan estimasi waktu perbaikan sekitar 25 menit.
Analisis Rekomendasi Media Promosi PPDB SMA Nurul Falah Pekanbaru dengan Algoritma K-Means Clustering Hidayat, Muhammad Taufiq; Emansa Hasri Putra; Dini Nurmalasari
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10499

Abstract

The advancement of information technology has significantly transformed how educational institutions conduct promotional activities and student admissions. The shift toward digital behavior among society requires schools to adopt more adaptive and data-driven marketing strategies. SMA Nurul Falah Pekanbaru, as one of the private high schools, has experienced a decrease in student enrollment after the Covid-19 pandemic. Conventional promotional methods such as banners, billboards, and printed brochures have proven less effective in reaching prospective students. This research aims to analyze the effectiveness of promotional media based on student characteristics using the K-Means Clustering algorithm as a segmentation method. The dataset was obtained from three years of PPDB registration records, including demographic, socioeconomic, school origin, and promotion media information. The analysis process involved several stages, namely data preprocessing, exploratory data analysis (EDA), determination of the optimal number of clusters using the Elbow and Silhouette methods, and the development of a web-based recommendation system using Python, PHP, and MySQL. The results indicate that the optimal number of clusters is k=4 with a Silhouette Score of 0.351. The four clusters represent distinct behavioral patterns in accessing educational information, with digital media emerging as the most effective channel. The developed recommendation system provides decision support for the school in designing promotional strategies that are more efficient, measurable, and accurately targeted through data analytics-based insights.
Workshop Pembelajaran Jaringan Komputer Berbasis Physical Mode pada Packet Tracer Sebagai Penguatan Pembelajaran Praktik kepada Siswa-Siswi SMK Taruna Persada Dumai Purwantoro E.S.G.S, Sugeng; Novayani, Wenda; Fitrisia, Yuli; Akbar, Memen; Alim Syahbana, Yoanda; Nurmalasari, Dini; Fadhly, Mardhiah
KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Vol. 8 No. 1 (2026)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/385st874

Abstract

Workshop "Pembelajaran Jaringan Komputer Berbasis Physical Mode pada Packet Tracer" bertujuan untuk memperkuat pembelajaran praktik jaringan komputer di SMK Taruna Persada Dumai. Program ini memberikan solusi atas keterbatasan perangkat keras dengan memanfaatkan fitur Physical Mode pada Cisco Packet Tracer, yang memungkinkan siswa belajar secara virtual tetapi dengan pengalaman menyerupai penggunaan perangkat asli. Kegiatan ini melibatkan 41 siswa dan 5 guru pendamping, dengan metode pelatihan berupa teori dan praktik di laboratorium jaringan Politeknik Caltex Riau. Materi yang disampaikan meliputi dasar-dasar jaringan komputer, pengenalan perangkat keras, konfigurasi jaringan, dan pengaplikasian fitur Physical Mode. Hasil evaluasi menunjukkan tingkat kepuasan yang tinggi di kalangan peserta, dengan skor rata-rata di atas 4,5 dari skala 5. Feedback peserta mencatat pengalaman belajar yang interaktif dan relevan untuk mendukung kebutuhan industri. Namun, terdapat ruang untuk perbaikan terkait manajemen waktu dan pelayanan selama pelatihan. Kegiatan ini tidak hanya memberikan pemahaman teknis, tetapi juga mempersiapkan siswa menghadapi tantangan industri dengan pendekatan pembelajaran yang inovatif.
Developing an Educational Software Platform for Stock Learning Using LSTM Forecasting Models Nurmalasari, Dini; Alfani, Yessi; Yuliantoro, Heri R; Fitrisia, Yuli
Journal of Educational Science and Technology (EST) Volume 11 Number 3 December 2025
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/est.v11i3.81360

Abstract

This study aims to develop an educational software platform that supports Indonesian students in learning stock market behavior by addressing low financial literacy, limited analytical skills, and emotion-driven investment decisions. The proposed platform integrates historical data from liquid IDX80 stocks with a Long Short-Term Memory (LSTM) forecasting model enhanced by technical indicators and calendar-based market features, and presents predicted price movements and trend classifications through an interactive, user-friendly learning interface. Experimental results show that the model achieved strong predictive performance on most IDX80 stocks, demonstrating its ability to capture temporal price patterns, while the inclusion of technical and calendar-based features improved prediction clarity and trend interpretability for student users. Variations in forecasting accuracy across stocks indicate that liquidity and volatility influence model performance, highlighting the importance of contextual interpretation in learning. In conclusion, the findings indicate that integrating LSTM-based forecasting with instructional design principles can support experiential and data-driven investment learning, and the developed platform demonstrates strong potential as both a forecasting tool and an educational technology medium for supporting financial literacy development. 
Co-Authors Akbar, Memen Akbar, Memen Alfani, Yessi Alim Syahbana, Yoada Alim Syahbana, Yoanda Arifulsyah, Hamdani Chairani, Nessa Cici Patmala Dini Hidayatul Qudsi Emansa Hasri Putra Erwin Setyo Nugroho Fadhly, Mardhiah Fadli, Mardhiah Fathu Rahmi Heri Ribut Yuliantoro, Heri Ribut Heri Yuliantoro Hidayat, Muhammad Taufiq Kartina Diah K. W. Mardhiah Fadhli Mardhiah Fadhli, Mardhiah Mardhian Fadhly memen akbar mutia sari zulvi Mutia Sari Zulvi Nabilah Nasution Nazifa Hayati Neni Febriani Nurzikriah Nurzikriah Palapa, Yusmar Patmala, Cici Puja Hanifah Purwantoro E.S.G.S, Sugeng Purwantoro, Sugeng Putri Radha Retro Tri Wahyuni Rizky Mirza, Junaldo Saleha Indri Yanti Sugeng Purwantoro E.S.G.S Sugeng Purwantoro ESGS Tinambunan, Theresia Elfina Tri Wahyuni, Retro Uun Patrio Warnia Nengsih Wenda Novayani Wenda Novayanti Yoanda Alim Syahbana Yuli Fitrisia Yuli Fitrisia Yuli Fitrisia, Yuli Fitrisia Yuliantoro, Heri R Yusmar Palapa Zusanti Syahrial