Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:Masalah pengelolaan parkir di Politeknik Jambi sering menyebabkan ketidakefisienan akibat sistem penghitungan manual yang rentan human error. Penelitian ini bertujuan merancang sistem penghitungan kendaraan otomatis berbasis…
asis pengolahan citra digital. Metode yang digunakan adalah Background Subtraction dengan algoritma MOG2 dan OpenCV menggunakan video kamera smartphone. Sistem mengintegrasikan proses preprocessing citra, operasi morfologi, dan Euclidean Distance Tracker untuk melacak serta menghitung kendaraan secara real-time. Hasil penelitian menunjukkan sistem mampu membedakan kendaraan yang bergerak dengan objek statis secara akurat melalui Virtual Counting Line. Dengan beban komputasi yang ringan dan biaya rendah, sistem ini efektif menjadi solusi otomatisasi manajemen parkir di lingkungan kampus.
Parking management issues at Politeknik Jambi often lead to inefficiencies due to manual counting systems prone to human error. This study aims to design an automatic vehicle counting system based on digital image processing. The method utilizes Background Subtraction with the MOG2 algorithm and OpenCV using smartphone video input. The system integrates image preprocessing, morphological operations, and Euclidean Distance Tracker to track and count vehicles in real-time. The results demonstrate that the system can accurately distinguish between moving vehicles and static objects via a Virtual Counting Line. With low computational requirements and cost-effectiveness, this system offers an efficient automation solution for campus parking management.
Abstract:Emas merupakan salah satu jenis komoditi yang paling banyak diminati untuk tujuan investasi, karena dipandang sebagai instrumen yang lebih aman dibandingkan saham serta memiliki nilai jual yang selalu bergerak mengikuti…
kondisi pasar. PT Victoeria Vici, sebagai pelaku usaha perhiasan emas custom, menghadapi kendala dalam menentukan estimasi harga jual kepada pelanggan, sebab proses pengerjaan pesanan custom membutuhkan waktu hingga 14 hari, sementara harga emas bergerak fluktuatif dan tidak terstruktur setiap harinya sehingga estimasi harga menjadi tidak akurat dan tidak efektif. Berdasarkan permasalahan tersebut, penelitian ini menerapkan konsep Data Mining dengan algoritma Trend Moment untuk mengestimasi harga emas pada rentang waktu tertentu. Data yang digunakan merupakan data historis harga emas per gram pada PT Victoeria Vici periode Agustus–Oktober 2021 sebanyak 92 data. Tahapan penelitian meliputi pengumpulan data, penentuan variabel X dan Y, eliminasi untuk memperoleh nilai konstanta a dan slope b, serta penerapan persamaan Y = a + bX untuk memperoleh nilai estimasi. Hasil perhitungan menunjukkan nilai a = 720.871,725 dan b = 3,108 sehingga model estimasi mampu menghasilkan proyeksi harga emas yang mendekati pola data historis. Model ini kemudian diimplementasikan ke dalam aplikasi berbasis desktop menggunakan Microsoft Visual Basic 2010 dan basis data Microsoft Access, dilengkapi Crystal Report untuk pencetakan laporan hasil estimasi. Hasil penelitian menunjukkan bahwa algoritma Trend Moment dapat membantu PT Victoeria Vici dalam memperoleh estimasi harga emas secara lebih cepat, konsisten, dan terdokumentasi.
Gold is one of the most sought-after commodities for investment purposes, as it is regarded as a safer instrument compared to stocks and has a selling value that constantly fluctuates with market conditions. PT Victoeria Vici, a custom gold jewelry business, faces difficulty in determining the estimated selling price offered to customers because the production process for custom orders takes up to 14 days, while gold prices move in an unstructured and fluctuating manner every day, making manual price estimation inaccurate and ineffective. Based on this problem, this study applies the concept of Data Mining using the Trend Moment algorithm to estimate gold prices over a certain period of time. The data used is historical daily gold price data per gram from PT Victoeria Vici for the period of August–October 2021, consisting of 92 records. The research stages include data collection, determination of the X and Y variables, elimination to obtain the constant value a and the slope b, and the application of the equation Y = a + bX to obtain the estimated value. The calculation results show a value of a = 720,871.725 and b = 3.108, so that the estimation model is able to produce gold price projections that closely follow the pattern of historical data. This model was then implemented into a desktop-based application using Microsoft Visual Basic 2010 and a Microsoft Access database, equipped with Crystal Report for printing estimation result reports. The results show that the Trend Moment algorithm can help PT Victoeria Vici obtain gold price estimations more quickly, consistently, and in a well-documented manner.
Abstract:Promosi penerimaan mahasiswa baru (PMB) merupakan salah satu faktor penting dalam meningkatkan jumlah dan kualitas calon mahasiswa. Namun, strategi promosi yang belum memanfaatkan data historis secara optimal dapat menyebabkan…
babkan kegiatan promosi kurang tepat sasaran. Penelitian ini bertujuan untuk menganalisis data historis PMB sebagai dasar dalam menyusun strategi promosi yang lebih efektif pada Jurusan Teknologi Informasi dan Komputer Politeknik Negeri Lhokseumawe. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan memanfaatkan data sekunder PMB periode 2023–2025. Analisis dilakukan melalui tahapan data cleaning, transformasi data, statistik deskriptif, segmentasi calon mahasiswa, dan visualisasi data menggunakan dashboard analitik. Variabel yang dianalisis meliputi program studi, asal sekolah, jurusan asal sekolah, kecamatan, kabupaten/kota, provinsi, jalur masuk, dan sumber informasi pendaftar. Hasil penelitian menunjukkan bahwa sebagian besar pendaftar berasal dari Provinsi Aceh, khususnya Kabupaten Aceh Utara dan Kota Lhokseumawe, dengan dominasi lulusan jurusan IPA serta peminat terbesar pada Program Studi Teknik Informatika. Instagram dan website menjadi sumber informasi utama bagi calon mahasiswa. Pemanfaatan data historis melalui visualisasi data mampu memberikan informasi yang lebih komprehensif mengenai karakteristik calon mahasiswa sehingga dapat mendukung pengambilan keputusan dalam penyusunan strategi promosi PMB yang lebih terarah, efektif, dan berbasis data.
New student admissions (PMB) promotion is an important factor in increasing the number and quality of prospective students. However, promotional strategies that do not optimally utilize historical data can result in less targeted promotional activities. This study aims to analyze historical PMB data as a basis for developing a more effective promotional strategy in the Information and Computer Technology Department of the Lhokseumawe State Polytechnic. The study uses a descriptive quantitative approach utilizing secondary PMB data for the 2023–2025 period. The analysis was carried out through the stages of data cleaning, data transformation, descriptive statistics, prospective student segmentation, and data visualization using an analytical dashboard. The variables analyzed included study program, school of origin, major of origin of school, sub-district, regency/city, province, admission route, and applicant information sources. The results show that most applicants come from Aceh Province, especially North Aceh Regency and Lhokseumawe City, with a predominance of science graduates and the greatest interest in the Informatics Engineering Study Program. Instagram and websites are the main sources of information for prospective students. The use of historical data through data visualization can provide more comprehensive information regarding the characteristics of prospective students so that it can support decision-making in developing more targeted, effective, and data-based PMB promotion strategies.
Abstract:This study aims to determine the effect of using Google Earth media through the Contextual Teaching and Learning (CTL) model on the learning outcomes of social studies on natural phenomena material for fifth-grade students…
ts of SDN Telang 2 in the 2026/2027 academic year. The study used a quantitative approach with the Pre-Experimental Design method and One Group Pretest-Posttest Design. The research subjects were 17 students. Data collection techniques were carried out through tests, observations, and documentation. The research instrument was a multiple-choice test given before and after treatment. Data were analyzed using descriptive statistics and paired sample t-test. The results showed that the average pretest score of 68.82 increased to 79.41 in the posttest, with an increase of 10.59 points. The results of the paired sample t-test showed a significance value (2-tailed) of 0.000 <0.05, so H₀ was rejected and H₁ was accepted. These findings indicate that the use of Google Earth media through the CTL model has a significant effect on the learning outcomes of social studies on natural phenomena material. The integration of Google Earth and CTL provides a more contextual, interactive, and meaningful learning experience, helping students understand the concept of natural features more concretely. Therefore, Google Earth, through the CTL model, can be used as an alternative media and effective learning model to improve social studies learning outcomes in elementary schools.
Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan media Google Earth melalui model Contextual Teaching and Learning (CTL) terhadap hasil belajar IPS materi kenampakan alam pada siswa kelas V SDN Telang 2 Tahun Pelajaran 2026/2027. Penelitian menggunakan pendekatan kuantitatif dengan metode Pre-Experimental Design dan desain One Group Pretest-Posttest Design. Subjek penelitian berjumlah 17 siswa. Teknik pengumpulan data dilakukan melalui tes, observasi, dan dokumentasi. Instrumen penelitian berupa tes pilihan ganda yang diberikan sebelum dan sesudah perlakuan. Data dianalisis menggunakan statistik deskriptif dan uji paired sample t-test. Hasil penelitian menunjukkan bahwa nilai rata-rata pretest sebesar 68,82 meningkat menjadi 79,41 pada posttest, dengan peningkatan sebesar 10,59 poin. Hasil uji paired sample t-test menunjukkan nilai signifikansi (2-tailed) sebesar 0,000 < 0,05, sehingga H₀ ditolak dan H₁ diterima. Temuan ini menunjukkan bahwa penggunaan media Google Earth melalui model CTL berpengaruh signifikan terhadap hasil belajar IPS materi kenampakan alam. Integrasi Google Earth dan CTL mampu memberikan pengalaman belajar yang lebih kontekstual, interaktif, dan bermakna sehingga membantu siswa memahami konsep kenampakan alam secara lebih konkret. Oleh karena itu, Google Earth melalui model CTL dapat dijadikan alternatif media dan model pembelajaran yang efektif untuk meningkatkan hasil belajar IPS di sekolah dasar.
Abstract:Education is an ecosystem involving various elements, with the family as its primary foundation. Schools then act as strategic partners, continuing, strengthening, and developing the educational process in a systematic and…
nd structured manner. Effective and valuable communication is believed to be able to build sustainable educational synergy. This study aims to analyze school-parent communication practices from an Islamic perspective and their impact on student learning outcomes at Nurul Hidayah Elementary School in Kutawaluya District. The study used a qualitative approach with a case study. Data were collected through observation, in-depth interviews, and documentation studies, then analyzed interactively through the stages of reduction, presentation, and drawing conclusions. The results indicate that communication practices occur formally and informally, are integrated with the values of trust and deliberation, and encourage active parental involvement in home learning support. Dialogic and persuasive communication contributes to improved student discipline, learning readiness, and responsibility. Integrating Islamic values into communication practices strengthens collaborative relationships between schools and families. The implications of this research emphasize the importance of developing an Islamic values-based educational communication model as a strategy to strengthen school-parent partnerships in improving student learning outcomes.
Abstract:Digital transformation in elementary education demands technology integration that is not only oriented towards learning effectiveness but also towards strengthening character values. Learning evaluation, as a crucial part…
rt of the educational process, needs to be designed adaptively without neglecting the internalization of Islamic values. This study aims to analyze and describe the integration of the Quizizz platform in evaluating Islamic value-based learning at SDN Palumbonsari I, East Karawang District. The study used a qualitative approach with a case study type. Data were collected through participatory observation, in-depth interviews, and documentation, then analyzed interactively through reduction, presentation, and drawing conclusions. The results show that the integration of Islamic values was carried out systematically through three stages: evaluation planning by incorporating value indicators into learning tools, implementation of values in question design and digital feedback, and post-evaluation reflection in class. Digital features were utilized not only to display scores but also to convey moral messages that support Islamic character formation. In practice, digital evaluation functions as a cognitive measurement instrument as well as a means of habituating values. The implications of this research confirm that the use of digital platforms in evaluation can be directed as a medium for internalizing values if it is designed in a structured manner and supported by the teacher's pedagogical commitment.
Abstract:Student independence and creativity are two important aspects in educational development that need to be developed to prepare students to face future challenges. These two aspects can develop well through the implementation…
ion of child-friendly educational management, which creates an environment that supports active learning and character development. This research aims to determine the impact of implementing child-friendly education management on student independence and creativity at Integrated Islamic Elementary School (SDIT) Buah Hati. This research uses quantitative methods with descriptive research design. Data collection techniques were carried out through observation, questionnaires and interviews with students and teachers. The data sources for this research are fifth grade students and teachers at SDIT Buah Hati. The collected data was analyzed using descriptive statistical techniques to describe current conditions. The research results showed a significant increase in the aspects of independence, creativity, time discipline, ability to work together, and students' self-confidence after implementing child-friendly education management. Student independence increased by 20%, creativity increased by 20%, and time discipline and the ability to work together also showed significant improvements. The implication of this research is that the implementation of child-friendly educational management is effective in increasing student independence and creativity. Therefore, schools are expected to implement child-friendly principles in every aspect of learning to support maximum student development.
Abstract:Visual perceptual ability is one of the important aspects of cognitive development in early childhood. This ability is related to children’s capacity to recognize, differentiate, interpret, and understand information received…
eceived through vision. It includes the recognition of shapes, colors, sizes, patterns, and visual relationships, which are essential for children’s learning readiness. This study aims to improve the visual perceptual abilities of children aged 5–6 years at TK Sarantau Sasurambi through smartboard-based learning. The research employed a Classroom Action Research (CAR) method conducted in several cycles, namely planning, action, observation, and reflection. The research subjects were children aged 5–6 years. The research instruments included observation sheets of visual perceptual abilities (visual discrimination, visual memory, matching, sequencing, spatial relations, and eye–hand coordination), observation sheets on the use of the smartboard, and field notes. The results showed an improvement in visual perceptual abilities from the pre-cycle to Cycle I and Cycle II. Children’s mastery in the pre-cycle reached only 45%, increased to 65% in Cycle I, and reached 88% in Cycle II. The use of smartboards proved effective as it offers interactive and engaging visual learning experiences and facilitates children’s direct manipulation of objects. Therefore, smartboard-based learning is highly effective in improving the visual perceptual abilities of children aged 5–6 years.
Abstract:This study aims to analyze the effectiveness of using a Smartboard in increasing students' enthusiasm for learning in the Pancasila Education subject in grade V of SDN 07 Mudiak Lawe, Sungai Pagu District, South Solok Regency.…
gency. From initial observations, it was seen that students' enthusiasm for learning tended to be low, as seen from their inactive attitudes, little interaction, and easily distracted when teachers used less diverse learning methods. To address this, a Smartboard was proposed as an innovative solution. This tool is an interactive whiteboard that uses multimedia and audiovisual technology, so it can combine teaching materials with images, videos, and animations to make learning more interesting and diverse. The method used in this study was the correlation method, namely a quantitative method that studies the relationship between the use of Smartboard interactive features and the level of student enthusiasm for learning. The results showed that the use of Smartboard in learning was proven to be able to increase student enthusiasm for learning. After implementing the Smartboard, students appeared more active and enthusiastic during the learning process, so that their enthusiasm for learning increased and reduced boredom. The implementation of Smartboard involves game-based learning methods such as Duck Race Games and Wordwall, which successfully trigger students' curiosity, focus, and enthusiasm, and encourage them to actively participate in answering questions and interacting in class.