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Jurnal Minfo Polgan (JMP)
Published by Politeknik Ganesha Medan
ISSN : 20899424     EISSN : 27973298     DOI : -
Core Subject : Science, Education, Social,
Computer Science & IT Library & Information Science Mathematics Social Sciences
Jurnal Minfo Polgan (JMP) merupakan jurnal nasional yang diterbitkan oleh Program Studi Manajemen Informatika Politeknik Ganesha Medan terbit berkala (satu tahun dua kali yaitu Maret dan September) dengan tujuan untuk menyebarluaskan hasil riset bidang teknologi dan informasi kepada para akademisi, praktisi, mahasiswa, dan lain-lain. Jurnal Minfo Polgan (JMP) menerima kiriman artikel hasil riset bidang teknologi dan informasi yang ditulis dalam Bahasa Indonesia. Agar hasil riset bidang teknologi dan informasi yang dimuat dapat bermanfaat untuk pengembangan bidang teknologi dan informasi. Adapun ruang lingkup Jurnal Minfo Polgan adalah: 1. Sistem Pendukung Keputusan (SPK/DSS) 2. Sistem Informasi Geografis (GIS/SIG) 3. Sistem informasi skala enterprise (ERP, EAI, CRM, SCM) 4. Keamanan Sistem Informasi 5. Sistem Informasi Berbasis Web 6. Sistem Berbasis Pengetahuan & Data mining 7. Mobile Computing 8. Multimedia
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,278 Documents
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Peran Kualitas SDM dan Pemanfaatan Teknologi Informasi dan Komunikasi dalam Keberhasilan Kewirausahaan di Era Digital dan Ekonomi Berbasis Pengetahuan Jeffriansyah Dwi Sahputra Amory; Naska N; Herman Herman; Nurul Muhriza
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16595

Abstract

Transformasi digital dan perkembangan ekonomi berbasis pengetahuan telah mengubah faktor-faktor yang menentukan keberhasilan kewirausahaan, terutama melalui peningkatan kualitas sumber daya manusia dan pemanfaatan teknologi informasi dan komunikasi. Penelitian ini bertujuan menganalisis peran kedua faktor tersebut dalam mendukung keberhasilan kewirausahaan melalui pendekatan tinjauan pustaka. Penelitian menggunakan pendekatan kualitatif dengan analisis deskriptif terhadap artikel ilmiah yang diperoleh dari Google Scholar, ScienceDirect, SpringerLink, ResearchGate, Emerald Insight, Taylor & Francis Online, dan MDPI Journals pada periode 1964–2026. Penelusuran awal menghasilkan 50 artikel, kemudian diseleksi berdasarkan kriteria inklusi dan eksklusi sehingga diperoleh 45 artikel yang relevan. Hasil kajian menunjukkan bahwa kualitas sumber daya manusia meningkatkan inovasi, kemampuan adaptasi, dan pengambilan keputusan, sedangkan teknologi informasi dan komunikasi mendukung efisiensi operasional, perluasan pasar, dan daya saing usaha. Temuan penelitian menegaskan bahwa integrasi kompetensi sumber daya manusia dan pemanfaatan teknologi merupakan faktor utama dalam mewujudkan kewirausahaan yang adaptif, inovatif, dan berkelanjutan pada era ekonomi berbasis pengetahuan.
Akuntabilitas Kinerja ASN Berbasis Digitalisasi dalam Pelayanan Pangan Mendukung Asta Cita Deli Serdang Saima Rambe; Ratna Sari Dewi; Rana Fathinah Ananda
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16599

Abstract

The performance accountability of State Civil Apparatus (ASN) is an important element in ensuring the quality of public services in the food sector and supporting the achievement of the national food security agenda. This study aims to analyze the effect of digital technology-based ASN performance accountability on public services in the food sector and its support for the Asta Cita of national food security in Deli Serdang Regency, as well as to examine the mediating role of public services in the food sector. The study used a quantitative approach with an explanatory design and cross-sectional data collection. The research sample consisted of 34 ASN directly involved in public services in the food sector and was selected using purposive sampling. Data were collected through a Likert-scale questionnaire and analyzed using Partial Least Squares-Structural Equation Modeling using SmartPLS. The results showed that ASN performance accountability had a positive and significant effect on supporting the achievement of Asta Cita of national food security with a path coefficient of 0.617 and p<0.001. ASN performance accountability also had a positive and significant effect on public services in the food sector with a coefficient of 0.729 and p<0.001. Public services in the food sector have the strongest positive and significant influence on support for the achievement of Asta Cita with a coefficient of 0.846 and p<0.001, and are also proven to mediate the relationship between ASN performance accountability and support for the achievement of Asta Cita. These findings imply the need for integration of accountability systems, digital reporting, data traceability, and improvement of ASN competencies. It is concluded that strengthening accountability based on digital technology can improve the quality of public services in the food sector and strengthen the implementation of food security policies. Future research is recommended to expand the study area, use a longitudinal design, and add variables of digital competency, internal supervision, institutional coordination, and community participation.
Pembelajaran Matematika SD Berbasis Eco-Friendly Unplugged Coding Terintegrasi AI untuk Problem-Solving dan Computational Thinking Sri Handayani; Fider Lumbanbatu; Nurhalimah Nurhalimah
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16600

Abstract

Mathematics learning in elementary schools still faces challenges in simultaneously developing students' problem-solving and computational thinking skills, especially in schools with limited digital devices. This study aims to analyze the effect of elementary school mathematics learning based on eco-friendly unplugged coding integrated with Artificial Intelligence on students' problem-solving and computational thinking. The study used a quantitative approach with an explanatory survey design. Data were collected through questionnaires from 120 public elementary school students in Lubuk Pakam, then analyzed using Partial Least Squares-Structural Equation Modeling with SmartPLS software. The evaluation model included testing convergent validity, discriminant validity, construct reliability, coefficient of determination, and hypothesis testing through bootstrapping. The results showed that elementary school mathematics learning had a positive and significant effect on computational thinking with a path coefficient of 0.649, a t-statistic of 11.630, and a P value of 0.000. A positive and significant effect was also found on problem-solving, with a path coefficient of 0.623, a t-statistic of 10.527, and a P value of 0.000. These findings indicate that the integration of unplugged coding activities, an environmentally friendly context, and AI support can encourage problem decomposition, pattern recognition, algorithm development, debugging, and systematic mathematical problem solving. The research implications confirm that this model can be an innovative and inclusive learning alternative for elementary schools. Further research is recommended using experimental designs, control groups, larger samples, and testing the contribution of each learning component separately.
AI-Driven Green Digital Marketing UMKM Serdang Bedagai untuk Keberlanjutan Ekonomi Lokal Berbasis Asta Cita Yochi Elanda; Ratna Sari Dewi; Fhikry Ahmad Halomoan Siregar
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16601

Abstract

Artificial intelligence-based digital marketing transformation has become a strategic necessity for MSMEs in improving competitiveness, business sustainability, and marketing performance. However, the utilization of Artificial Intelligence and the implementation of Green Digital Marketing in MSMEs in Serdang Bedagai Regency are still not optimal. This study aims to analyze the influence of AI-Driven Digital Marketing and Green Digital Marketing on business sustainability and marketing performance of MSMEs, as well as to examine the mediating role of business sustainability. The study used a quantitative explanatory approach with a sample of 100 MSMEs selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed with Partial Least Squares-Structural Equation Modeling using SmartPLS. The results showed that AI-Driven Digital Marketing had a positive and significant effect on business sustainability with a coefficient of 0.367 and on marketing performance with a coefficient of 0.380. Green Digital Marketing had a positive and significant effect on business sustainability with a coefficient of 0.325, but did not directly affect marketing performance with a coefficient of 0.028. Business sustainability had a positive and significant effect on marketing performance with a coefficient of 0.287. However, business sustainability was unable to mediate the effect of AI-Driven Digital Marketing or Green Digital Marketing on marketing performance. This finding implies that MSMEs need to prioritize the use of AI for personalization, customer analysis, and promotional efficiency, and integrate green marketing practices with concrete operational evidence. Future research is recommended to use a longitudinal design, cross-sector samples, and add variables such as digital literacy, innovation capability, and consumer environmental awareness.
Perancangan Sistem Informasi Time Reporting Berbasis Web untuk Monitoring Beban Kerja Karyawan pada PT SuMoIn Arfan Sansprayada; Riva Abdillah Aziz; Kartika Mariskhana; Ita Dewi Sintawati
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16138

Abstract

In an era of increasingly intense business competition, companies are required to manage their human resources effectively and efficiently, particularly in measuring and evaluating employee workloads accurately. Poorly managed workloads can potentially reduce productivity and service quality. Work measurement plays a role as an objective instrument in determining standard time and employee workload, while time management serves as an important approach to improving work effectiveness and efficiency. However, a common issue faced by many organizations is the absence of a structured time recording system, making it difficult for companies to monitor workload distribution, evaluate performance, and make data-driven decisions. This condition is also experienced by PT SuMoIn, which has a high level of employee work activity but is not yet supported by an adequate time reporting system. This study aims to design a web-based time reporting information system to assist the company in systematically recording, monitoring, and evaluating employees’ working time. The method used in developing this system is the waterfall method, which consists of the stages of analysis, design, coding and testing, implementation, and system maintenance. The system is developed using PHP programming language and MySQL database. The results of this study indicate that a web-based time reporting information system is the most suitable solution. It is expected that the designed system can improve the effectiveness of human resource management and support more accurate decision-making at PT SuMoIn.
Analisis Perspektif Mengenai Kebijakan Pemerintah Bergabung Dengan Board Of Peace Menggunakan IndoBERT dan NusaBERT Yanuar Wardanu; Pungkas Subarkah; Agus Pramono
Jurnal Minfo Polgan Vol. 15 No. 3 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i3.16145

Abstract

The Board of Peace is an international body initiated by U.S. President Donald Trump. The government’s decision to join this body has naturally sparked debate among the public, particularly on the social media platform X. The social media platform X (Twitter) is one of the best platforms for monitoring public opinion on various topics, including government policies—such as those implemented by President Prabowo Subianto. Twitter provides users with a space to follow the latest developments, participate in conversations, and express their opinions on public policy and leadership. In Indonesia, Twitter is frequently used for planning social events, sharing information, and voicing criticism or expectations toward national leaders. This study aims to analyze public sentiment regarding Indonesia’s joining the Board of Peace using the IndoBERT and NusaBERT algorithms. The dataset used, consisting of 290 data points, was obtained through data crawling techniques from the social media platform X. The research stages included Data Collection, Data Pre-Processing, Data Balancing, Fine-Tuning of the Transformer Model, and Model Evaluation (accuracy, precision, recall, and F1-score). The results of this study show that the IndoBERT algorithm achieved an accuracy of 90%, while NusaBERT achieved an accuracy of 97%. This indicates that the NusaBERT algorithm has a 7% advantage in accuracy. This study underscores the importance of selecting the appropriate algorithm to enhance the performance of sentiment analysis systems on public policy topics.
Perbandingan LSTM dan 1D CNN dalam Prediksi Harga Saham BCA Andra Alfitra; Rika Rosnelly; Wanayumini
Jurnal Minfo Polgan Vol. 15 No. 3 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i3.16221

Abstract

Investasi merupakan salah satu aktivitas yang banyak diminati masyarakat, baik dalam bentuk real asset maupun financial asset, salah satunya adalah saham. Saham menjadi instrumen investasi yang memiliki potensi keuntungan tinggi, namun harga saham di pasar modal bersifat fluktuatif sehingga sulit diprediksi. Penelitian ini bertujuan untuk menganalisis dan membandingkan metode Long Short Term Memory (LSTM) dan One Dimensional Convolutional Neural Network (1D CNN) dalam prediksi harga saham PT Bank Central Asia Tbk (BBCA). Saham BBCA dipilih karena PT Bank Central Asia merupakan salah satu bank dengan jumlah pelanggan terbesar di Indonesia pada tahun 2024. Metode LSTM dipilih karena mampu menangani permasalahan vanishing gradient pada data sekuensial jangka panjang, sedangkan metode 1D CNN digunakan untuk mengekstraksi pola data time series secara efektif. Penelitian dilakukan melalui beberapa tahap pengujian parameter, meliputi time series, jumlah hidden neuron, max epoch, dan batch size untuk memperoleh model prediksi yang optimal. Hasil pengujian menunjukkan bahwa parameter terbaik diperoleh pada time series sebesar 5, hidden neuron sebesar 5, max epoch sebesar 50, dan batch size sebesar 4. Model yang dihasilkan memperoleh nilai Root Mean Square Error (RMSE) sebesar 117,266 dan Mean Absolute Percentage Error (MAPE) sebesar 2,980%. Nilai MAPE yang kurang dari 10% menunjukkan bahwa metode LSTM dan 1D CNN memiliki tingkat akurasi yang baik dalam melakukan prediksi harga saham BBCA. Penelitian selanjutnya disarankan menggunakan data yang lebih besar dan menambahkan indikator teknikal untuk meningkatkan performa prediksi.
Vullnerability Asessment Website Gratis Kabeh Banyumas Using ISSAF and OWASP ZAP Nur Wahid; Mohammad Imron; Darso Darso
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16236

Abstract

Transformasi digital di sektor publik mendorong instansi pemerintah untuk menyediakan layanan berbasis web guna meningkatkan akses publik terhadap layanan. Namun, hal ini juga secara signifikan meningkatkan risiko keamanan siber, khususnya untuk situs web pemerintah yang menangani data pengguna yang sensitif. Studi ini bertujuan untuk menganalisis kerentanan keamanan pada situs web Gratis Kabeh Banyumas menggunakan Kerangka Kerja Penilaian Keamanan Sistem Informasi (ISSAF) dan alat OWASP ZAP. Metodologi penelitian mencakup tahap perencanaan, pengumpulan informasi, pemindaian kerentanan, pengujian eksploitasi, analisis tingkat risiko, dan pelaporan. OWASP ZAP digunakan untuk melakukan pemindaian otomatis guna mengidentifikasi potensi kerentanan, yang kemudian divalidasi melalui simulasi serangan langsung seperti Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), dan Clickjacking. Hasil penelitian menunjukkan adanya kerentanan keamanan, yang sebagian besar diklasifikasikan sebagai risiko Rendah dan Sedang, khususnya pada kelemahan konfigurasi keamanan seperti tidak adanya Kebijakan Keamanan Konten (CSP) dan Token Anti-CSRF. Kerentanan ini berpotensi mengancam kerahasiaan, integritas, dan ketersediaan sistem jika dieksploitasi oleh pelaku jahat. Berdasarkan hasil analisis ini, dapat disimpulkan bahwa sistem tersebut masih memerlukan perbaikan keamanan mendasar. Implikasi dari penelitian ini adalah perlunya rekomendasi perbaikan teknis seperti validasi input, implementasi pengkodean yang aman, dan pengujian keamanan berkala. Penelitian ini diharapkan dapat meningkatkan kesadaran akan keamanan situs web dalam layanan publik digital. Untuk penelitian selanjutnya, disarankan untuk menggunakan kombinasi alat keamanan lainnya dan memperluas cakupan penelitian untuk mendapatkan hasil yang lebih komprehensif dan akurat.
Implementasi SISKEUDES dan Pengendalian Internal Dalam Mendukung Akuntabilitas Pengelolaan Keuangan Desa Anjungan Dalam Natalia Sesilia; Haryono Haryono; Djunita Permata Indah
Jurnal Minfo Polgan Vol. 15 No. 3 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i3.16250

Abstract

Peningkatan kompleksitas pengelolaan keuangan desa berbanding lurus dengan tingginya risiko penyimpangan anggaran. Oleh karena itu, penguatan sistemik melalui integrasi teknologi informasi dan pengendalian internal menjadi perangkat penting untuk memitigasi risiko tersebut. Fokus utama dari penelitian ini adalah untuk menganalisis penerapan Sistem Keuangan Desa (SISKEUDES) beserta instrumen pengendalian internalnya dalam mewujudkan akuntabilitas tata kelola keuangan di lingkungan pemerintahan desa Anjungan Dalam. Melalui metode studi kasus deskriptif dengan pendekatan kualitatif, penelitian ini mengumpulkan data yang bersumber dari hasil wawancara, pengamatan lapangan secara langsung, serta dokumentasi. Berdasarkan analisis data yang telah dilakukan, diperoleh hasil yang menunjukkan implementasi SISKEUDES telah membantu manajemen finansial tingkat desa menjadi lebih terstruktur, teratur, serta menunjukkan transparansi dan akuntabilitas yang lebih tinggi melalui proses pencatatan, pelaporan, dan pertanggungjawaban keuangan berbasis digital. Akuntabilitas pengelolaan keuangan desa tidak hanya dipengaruhi oleh penggunaan teknologi melalui SISKEUDES, tetapi juga oleh efektivitas pengendalian internal yang memadai. Penelitian ini memberikan kontribusi teoritis mengenai interaksi teknologi dan pengendalian internal, serta menjadi pedoman taktis bagi pemerintah desa untuk meningkatkan pemanfaatam sistem. Peneliti berikutnya direkomendasikan untuk memperluas ruang lingkup dengan melibatkan beberapa desa yang memiliki karakterisrik infrastruktur berbeda atau mengikutsertakan masyarakat sebagai informan tambahan.
Interactive E-Module for Learning Algorithms and Programming in Informatics Education Nur IfanSyah; Celine Aloyshima Haris
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16265

Abstract

The need for interactive digital teaching materials in Informatics learning highlights the importance of media that support students in understanding abstract concepts, particularly algorithms and programming. However, learning resources in junior high school are often dominated by text-based materials and teacher explanations, limiting opportunities for independent and visual learning. This study aims to develop and examine the feasibility of a flipbook-based interactive e-module for learning algorithms and programming in seventh-grade Informatics education. This research employed a Research and Development method using the 4D model: define, design, develop, and disseminate. The study involved material and media expert validators, one Informatics teacher, and 57 seventh-grade students at MTs Miftahul Khair Loa Janan. Data were collected through observation, interviews, and questionnaires, then analyzed using quantitative descriptive percentage techniques. The e-module was designed using Canva and Heyzine and included structured materials, Scratch-based examples, learning videos, reflection activities, and evaluations. The material expert validation reached 88% in the very valid category, media expert validation reached 79.25% in the valid category, teacher response reached 75.00% in the valid category, and student response reached 88.41% in the very valid category. These findings indicate that the e-module is feasible as contextual digital teaching material for supporting algorithmic learning.

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