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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Sosial dan Ilmu Politik (JISIP) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi INTECOMS: Journal of Information Technology and Computer Science KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Humanities and Social Studies Jurnal Abdi Ilmu Jurnal Elektro dan Telkomunikasi JURNAL MAHAJANA INFORMASI CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jatilima : Jurnal Multimedia Dan Teknologi Informasi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Scientia Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Jurnal Nasional Teknologi Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Masyarakat Indonesia Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) Indonesian Journal of Education And Computer Science Jurnal Ilmiah Multidisiplin Indonesia International Journal of Industrial Innovation and Mechanical Engineering International Journal of Information Engineering and Science Bulletin of Engineering Science, Technology and Industry Jurnal Ekonomi dan Bisnis Journal Of Computer Engineering And Information Technology The Journal of Information Technology, Computer Science, and Electrical Engineering
Darmeli Nasution
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Roveteer: An Innovative Digital Solution for Mangrove Forest Conservation Volunteer Management in Kota Pari Village Darmeli Nasution; Indri Sulistianingsih; Ahmad Akbar; Bagus Setiawan
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.131

Abstract

Mangrove forest conservation requires effective volunteer management and technological support. This study developed the Roveteer application, a specialized digital platform designed to optimize volunteer coordination and engagement in mangrove conservation efforts at Kota Pari Village. The research employed a user-centered design approach, integrating technological innovation with local ecological conservation needs. Through systematic analysis of volunteer management challenges, the application was developed to streamline recruitment, task allocation, tracking, and impact assessment of conservation activities. The Roveteer platform features include real-time volunteer registration, activity scheduling, performance monitoring, and geographical mapping of conservation zones. Prototype testing demonstrated the application's potential to enhance volunteer participation, improve communication efficiency, and provide data-driven insights into conservation efforts. Results indicated a 35% improvement in volunteer coordination and a 40% increase in documented conservation activities compared to traditional management methods. The Roveteer application represents a significant technological innovation in local environmental preservation, offering a replicable model for community-driven conservation technology that can be adapted to similar ecological contexts.
Web-Based Geographic Information System Application for Mangrove Planting Planning in Pari City Village Sri Wahyuni; Darmeli Nasution; Abdul Khaliq; Mhd Imam Maulana; Fikri Yolanda
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.134

Abstract

Kota Pari Village has a strategic coastal area but faces the challenge of degradation of mangrove ecosystems. Kota pari Village has the potential for mangrove forests that can be used as tourist attractions in coastal areas. This research aims to design a Geographic Information System (GIS) to support appropriate and sustainable mangrove planting planning. The research method uses a quantitative descriptive approach with data collection techniques through field observation, interviews, and spatial analysis. The research stages include collecting geographic data, mapping ecosystem conditions, analyzing land characteristics, and identifying potential zones for mangrove planting. The Geographic Information System is developed using Web-based software by considering parameters such as topography, soil type, salinity, and abrasion rate. The results of the study show that GIS has successfully identified 15 potential zones for mangrove planting with different levels of land suitability. This system is able to provide recommendations for planting locations, appropriate types of mangroves, and appropriate conservation strategies. This research makes a significant contribution to supporting mangrove ecosystem restoration efforts, sustainable development planning, and coastal area management in Kota Pari Village.
Application of Business Intelligence to support decision making in determining competent laws in the culinary sector in Deli Serdang Regency using the decision tree algorithm. Muhammad Irsyad; Darmeli Nasution
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 1 (2025): February-May 2025
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i1.156

Abstract

This study examines the application of Business Intelligence (BI) in identifying high-potential culinary Small and Medium Enterprises in Deli Serdang Regency. By using the Decision Tree algorithm, a prediction model is built based on historical sales data, business characteristics, and business environment factors. The results of the model evaluation show that Decision Tree is able to classify competent Small and Medium Enterprises. Key factors that influence the success of Small and Medium Enterprises, such as product quality, marketing strategy, and access to financing, were successfully identified through decision tree analysis. This study concludes that the application of BI with the Decision Tree algorithm can be an effective tool for stakeholders in supporting the development of Small and Medium Culinary Enterprises in Deli Serdang Regency
Improving the Accuracy of Small and Medium Enterprise Sales Predictions in Deli Serdang Regency by Implementing Business Intelligence Using the Decision Tree Algorithm M Dico Triyadi; Darmeli Nasution
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 1 (2025): February-May 2025
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i1.157

Abstract

This study focuses on improving the accuracy of sales prediction in Small and Medium Enterprises in Deli Serdang Regency through the application of Business Intelligence (BI). By using the Decision Tree algorithm, a prediction model is built based on historical sales data, seasonal factors, and macroeconomic variables. The evaluation results show that the developed model is able to predict sales with the right accuracy. In addition, this model also successfully identifies key factors that influence sales, such as price, promotion, and economic conditions. This study concludes that the application of BI can be an effective tool for Small and Medium Enterprises in making better decisions and increasing competitiveness.
Implementation of Business Intelligence to Analyze Opportunities to Enter the Most Popular Majors at SMKN1 Tanjung Pura Alviona Marsya; Darmeli Nasution; Rian Farta Wijaya
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 2 (2025): June-September 2025
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i2.197

Abstract

The use of information technology in education continues to evolve, including in the analysis of vocational school department selection. This study aims to apply Business Intelligence (BI) to analyze admission opportunities in the most popular departments at SMK Negeri 1 Tanjung Pura. The data used is secondary data from SMK applicants between 2020 and 2024, processed using Tableau software for data visualization. The results indicate that the Motorcycle Engineering and Business department is the most favored choice, while the Accounting department has the fewest applicants. BI implementation enables more accurate and informative data presentation, aiding schools in student admission strategies and providing clearer information for prospective students in choosing a department.
Development of a Cloud-Native Student Activity Management Information System at Politeknik Negeri Medan Darmeli Nasution; Indri Sulistianingsih; Alex Sandro Dabukke; Sri Wahyuni; Bayu Putra Pratama
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 3 (2025): October 2025 - January 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i3.241

Abstract

Politeknik Negeri Medan, like many higher education institutions in Indonesia, encounters persistent challenges in managing non-academic student activities due to fragmented data repositories, inconsistent reporting mechanisms, and manual administrative workflows. This study proposes the design of a cloud-native Student Activity Management Information System (SAMIS) engineered to streamline the processes of planning, monitoring, verification, and evaluation of extracurricular activities. The system adopts a microservices-based architecture supported by containerization, Kubernetes orchestration, and CI/CD pipelines to ensure scalability, resilience, and operational efficiency. Key functional modules include proposal submission, multi-level review workflows, real-time activity tracking, and centralized document management. Although the system has not yet been implemented, architectural simulations, workflow modelling, and comparative analysis with previous studies indicate strong potential for improving institutional governance and supporting data-driven decision-making. The proposed design also aligns with contemporary digital transformation initiatives in higher education. Future work includes prototype development, pilot testing, and comprehensive user evaluation to validate performance in real-world contexts.
Dynamic Pricing Model on E-Commerce Products Based on Competitor Sentiment and Price Analysis Using Deep Reinforcement Learning Mohammad Yusup; Winda Erika; Arpan; Abdul Khaliq; Darmeli Nasution
Journal of Information Technology, computer science and Electrical Engineering Vol. 3 No. 1 (2026): February-May 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v3i1.254

Abstract

Price competition on increasingly competitive e-commerce platforms requires businesses to implement pricing strategies that are adaptive and responsive to market dynamics. Static pricing strategies have proven to be unable to accommodate changes in demand, competitor prices, and consumer perceptions in real-time. This study aims to develop a Dynamic Pricing model based on Deep Reinforcement Learning (DRL) using the Deep Q-Network (DQN) algorithm that integrates the sentiment analysis of consumer reviews with the IndoBERT model and competitor prices obtained through web scraping. The research data was collected from the Tokopedia marketplace in the electronic product category for six months (January-June 2024), including 12,450 product reviews and 3,200 snapshots of competitors' prices from 45 sellers. The fine-tuned IndoBERT model achieved an accuracy of 91.2% and an F1-score of 0.89 in the three-class sentiment classification. The results of the experiment showed that the proposed DQN model increased total revenue by 18.7%, profit margin by 14.3%, and conversion rate by 11.2% compared to the static pricing strategy. This model also outperformed rule-based pricing by 8.1% and Q-Learning tabular by 3.3% in revenue metrics. The Ablation study confirmed that the sentiment feature contributed 6.3 percentage points to the increase in revenue. This study proves that the integration of consumer sentiment signals and competitors' prices within the framework of DRL provides a more optimal and adaptive pricing strategy in the e-commerce environment.
Penerapan Data Mining Untuk Klasifikasi Penduduk Miskin Di Kabupaten Labuhanbatu Menggunakan Random Forest Dan K-Nearest Neighbors Andi Ernawati; Khairul; Zulham Sitorus; Muhammad Iqbal; Darmeli Nasution
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1783

Abstract

This study aims to apply and compare the performance of two data mining algorithms—Random Forest (RF) and K-Nearest Neighbors (KNN)—in classifying poverty status among residents of Labuhanbatu Regency. The dataset includes information on occupation, income, housing, and education from 21,137 individuals. After undergoing preprocessing, model training, hyperparameter optimization, and evaluation, both models were assessed using five key metrics: accuracy, precision, recall, F1-score, and AUC. The results show that Random Forest performed slightly better than KNN, achieving an accuracy of 0.6023, precision of 0.4827, recall of 0.4177, F1-score of 0.4479, and an AUC of 0.5681. In comparison, KNN obtained an accuracy of 0.5990, precision of 0.4771, recall of 0.4006, F1-score of 0.4355, and an AUC of 0.5622. Based on these findings, it can be concluded that Random Forest is more effective for poverty classification on this dataset, although the performance difference is relatively small.
Analisis Sentimen Penerapan Deep Learning dan Analisis Sentimen terhadap Gap Kompetensi Lulusan Lembaga Pendidikan dan Pelatihan Vokasi terhadap Dunia Kerja dengan Metode Long Short-Term Memory (LSTM) Susilawati Yahya; Zulham Sitorus; Muhammad Iqbal; Darmeli Nasution; Rian Farta Wijaya
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.2031

Abstract

The gap between vocational graduates’ competencies and labor market demands remains a pressing issue in Indonesia. This study aims to analyze alumni perceptions regarding the alignment between competencies acquired during their studies at LP3I Banda Aceh and real-world job requirements. A quantitative approach was adopted using a deep learning method based on Long Short-Term Memory (LSTM). Data were collected through an online survey containing open-ended responses from 934 alumni, followed by preprocessing, tokenization, lexicon-based sentiment labeling, and data splitting into training and testing sets. The models developed included pure LSTM, LSTM with class weights, and Bidirectional LSTM (BiLSTM). Results indicate that BiLSTM achieved the highest performance with 90% accuracy and a weighted F1-score of 0.91. Additionally, 44.5% of respondents expressed neutral or negative sentiments, highlighting a mismatch between acquired competencies and industry demands. These findings underscore the urgency of curriculum evaluation and stronger collaboration between vocational institutions and the labor market. This study demonstrates that deep learning offers an efficient and objective tool for competency mapping in vocational education.
Time Management as a Foundation for Ethics, Integrity, Competence, Professionalism, and Communication in Higher Education Discipline Muhammad Caesar Akbar; Ahmad Fakhrizal Pulungan; Darmeli Nasution; Bhadrappa Haralayya
Jurnal Ilmu Sosial dan Ilmu Politik (JISIP) Vol 14, No 2 (2025)
Publisher : Universitas Tribhuwana Tungga Dewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jisip.v14i2.3278

Abstract

This research aims to analyze time management as an essential pillar in the development of ethics, integrity, competence, professionalism, and communication among students at Medan Aviation Polytechnic. Effective time management plays a vital role in developing a student's character, especially in forming the discipline that is the foundation of professional behavior in the aviation world. By adopting a qualitative approach, this research collected data through interviews, observations, and documentation studies of students and lecturers at the Medan Aviation Polytechnic. The research results indicate that effective time management plays a significant role in enhancing student ethics, integrity, and competence. Apart from that, time management also plays a crucial role in improving professionalism and effective communication, which are essential aspects in the aviation sector. This research offers recommendations for enhancing time management training within the higher education curriculum, aiming to foster students who are more disciplined and prepared to face future professional challenges. This is relevant to the needs of the aviation industry, which prioritizes punctuality, team coordination, and high adaptability in a dynamic work environment.Penelitian ini bertujuan untuk menganalisis manajemen waktu sebagai pilar penting dalam pembentukan etika, integritas, kompetensi, profesionalisme, dan komunikasi di kalangan mahasiswa Politeknik Penerbangan Medan. Manajemen waktu yang efektif berperan vital dalam pengembangan karakter mahasiswa, terutama dalam membentuk kedisiplinan yang menjadi dasar dari perilaku profesional di dunia penerbangan. Dengan mengadopsi pendekatan kualitatif, penelitian ini mengumpulkan data melalui wawancara, observasi, dan studi dokumentasi terhadap mahasiswa dan dosen di Politeknik Penerbangan Medan. Hasil penelitian menunjukkan bahwa manajemen waktu yang baik berkontribusi signifikan terhadap peningkatan etika, integritas, serta kompetensi mahasiswa. Selain itu, manajemen waktu juga berperan dalam meningkatkan profesionalisme dan komunikasi yang efektif, yang merupakan aspek penting dalam dunia kerja di sektor penerbangan. Penelitian ini memberikan rekomendasi untuk penguatan pelatihan manajemen waktu dalam kurikulum pendidikan tinggi, guna mendukung pengembangan karakter mahasiswa yang lebih disiplin dan siap menghadapi tantangan profesional di masa depan. Hal ini relevan dengan kebutuhan industri penerbangan yang mengutamakan ketepatan waktu, koordinasi tim, serta kemampuan adaptasi yang tinggi dalam lingkungan kerja yang dinamis.
Co-Authors , Arpan , Muhammad Donni Lesmana Siahaan Abdul Khaliq Ahmad Akbar Ahmad Akbar, Ahmad Ahmad Fakhrizal Pulungan Akbar, Muhammad Caesar Alex Sandro Dabukke Allya Putri Erly Perdani Alviona Marsya Alviona Marsya Ami Abdul Jabar Amren S, Hairul Amril, M. Amrizal Lubis Andi Ernawati Andysah Putera Utama Siahaan Anzas Ibezato Zalukhu Aprina Br Surbakti Arie Candra Panjaitan Asri Santosa Atmaja, Niko Surya Ayu Nuriana Sebayang Badriana Badriana Baehaqi Bagus Setiawan Barutu, Sipra Bayu Putra Pratama Bela Firmantoyo Bhadrappa Haralayya Cindy Danang Putra Pane Desy Ramatika Devina, Annisa Donni Nasution Dr. Leni Marlina Dwiyanto . Edo Edo Eko Hariyanto Eko Hariyanto Eswin Syahputra Fahmi Kurniawan Farta wijaya, Rian Fernando, Ahmad Fikri Yolanda Hadi Prayitno Hafni Hafni Hafni Hafni Herdianto Herdianto Herdianto Herdianto, Herdianto Heri Kurniawan, Heri Hermawan, Bagus Hindun Indrayani, Maida Indri Sulistianingsih IQBAL , MUHAMMAD Iqbal Wiranata Siregar, Jimmy Irwan Irwan Irwan Iswandi Idris Ivana Wardani Jabar, Ami Abdul Jesica Uli Panggabean Juliyandri Saragih Khairul Khairul Khairul Khairul, Khairul Khairun Nasywa Khumairoh, Annisa Kurniawan, Fahmi Leni Marlina Lia Riyanti Liber Tommy Hutabarat Lubis, Darma Putra Ludfia Anggi Safitri Sinaga M Dico Triyadi Maida Indrayani Marsya, Alviona Mentari, Risca Sri Mhd Arfan Sitorus Mhd Imam Maulana Mohammad Yusup Muhammad Ardan Muhammad Faiz Hidayah Muhammad Hidayat Muhammad Indra Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Irsyad Muhammad Mustaqim Muhammad Muttaqin Muhammad Naim Nasution Muhammad Reendy Prayoga Muhammad Sigit Muhammad Syahputra Novelan Muhammad Wahyudi Mutiara Widasari Sitopu Nabila Putri Nabilah Maymoenah Nasywa Rizki Fatihah Nasywa, Khairun Pane, Danang Putra Panjaitan, Albert Parhusip, Nelviony Permata, Dinda Suci Aliya Pranoto, Sugeng Putri Ramadhani Raihan Novalda Zhafira Ramatika, Desy Reqha Naqhita Iswandi Rian Farta Wijaya Rian Farta Wijaya Rian Putra, Randi Rizaldy Khair Rizky Rinaldi Rizwanul Yakin Naution Naution Romani, Daniel D. S Solikhun Sahputra, Fajar Sari, Ayu Ofta SARIFUDIN Sebastian Ferdi Caras Sinuhaji Sebayang, Ayu Nuriana Septiadi, Fahri Siburian, Ramli S Simanjuntak, Yosei Ht Simorangkir, Elsya Sabrina Asmita Sinambela, Sugi Hartono Sipra Barutu Sirait, Donna Nurhaida Masdiana Siregar, Andree Rizky Yuliansyah Sitorus , Zulham Sitorus, Mhd Arfan Sitorus, Zulham Situkkir, Meiarni Solly Aryza Sonia Natasyah Sri Wahyuni Sri Wahyuni Sri Wahyuni Sugeng Pranoto Suherman Suherman Sulis Sutiono Sulistianingsih, Indri Supina Batubara Susilawati Yahya Sutiono, Sulis Syahputra, Afandi Syahrul R, Syahrul Syahrul Ramadhan Syamsiar, Syamsiar Tiara Sylvia Titin Mega Andini Siahaan Tuti Andriani Usman Usman Wadly, Fachrid Wahyudi Sihombing, Ridho Wardani, Ivana Wijaya, Rian Farta Wiko Pratama Winda Erika Wirda Fitriani Yanti Yusman Yoga Yuniadi Yusman, Yanti Zalukhu, Anzas Ibezato Zhafirah Rizki Fadilah Lbs Zuhri Ramadhan