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:The advancement of information technology has accelerated digital transformation in healthcare, particularly through the implementation of Electronic Medical Records (EMRs). However, many healthcare facilities still use…
hybrid systems that combine manual and digital record-keeping without proper integration, resulting in inefficient patient data management. This study aims to develop an integrated hybrid Electronic Medical Record system at Damai Clinic to improve healthcare services and patient data management. A descriptive research method with a system development approach was employed through system analysis, problem identification, and system design. The results indicate that the proposed system successfully integrates patient registration, medical examination, pharmacy services, payment, and reporting into a single system. The hybrid implementation allows paper-based records to remain as supporting archives while electronic records become the primary source of patient information. The developed system is expected to improve service efficiency, reduce documentation errors, enhance data security, and support digital transformation in healthcare facilities.
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: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:Abstract his study aims to analyze teachers’ strategies in implementing the Contextual Teaching and Learning (CTL) approach to improve the quality of learning at Southwest Papua, as well as to examine the contribution…
bution of students from the Independent Student Exchange Program (PMM) in supporting the process. The research method employed is a literature review using the Publish or Perish application.The findings indicate that teachers play a crucial role in planning, implementing, and managing classrooms through contextual strategies that connect learning materials with the local environment and students’ real-life experiences. The application of CTL has been proven to enhance students’ motivation, active participation, and learning outcomes. In addition, PMM students provide practical suggestions such as the use of interactive methods including small group discussions, collective reflection, and projects based on everyday experiences.
Keywords: Teacher Strategies, Learning Quality, Elementary School.
Penelitian ini bertujuan untuk menganalisis strategi guru dalam menerapkan pendekatan Contextual Teaching and Learning (CTL) guna meningkatkan kualitas pembelajaran di Papua Barat Daya, serta meninjau kontribusi mahasiswa Program Pertukaran Mahasiswa Merdeka (PMM) dalam mendukung proses tersebut. Metode penelitian menggunakan kajian literatur (literature review) dengan menggunakan Publish or Perish. Hasil penelitian menunjukkan bahwa guru berperan penting dalam merencanakan, melaksanakan, dan mengelola kelas dengan strategi kontekstual yang mengaitkan materi ajar dengan lingkungan lokal dan pengalaman nyata siswa. Penerapan CTL terbukti meningkatkan motivasi, partisipasi aktif, serta hasil belajar siswa. Selain itu, mahasiswa PMM memberikan saran praktis berupa penggunaan metode interaktif seperti diskusi kelompok kecil, refleksi bersama, dan proyek berbasis pengalaman sehari-hari.
Kata Kunci: Strategi Guru, Kualitas Pembelajaran, Sekolah Dasar
Abstract:Penelitian ini bertujuan untuk meningkatkan motivasi belajar siswa pada mata pelajaran Ilmu Pengetahuan Alam dan Sosial (IPAS) melalui penerapan model Project Based Learning (PjBL) yang dibantu media Interaktif Flat Panel…
l (IFP) pada siswa kelas V UPT SD Negeri 03 Pekonina. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) yang dilaksanakan dalam dua siklus; setiap siklus terdiri dari perencanaan, tindakan, observasi, dan refleksi. Subjek penelitian adalah siswa kelas V (n = 24). Instrumen pengumpulan data meliputi angket motivasi pra-dan pasca tindakan, lembar observasi keaktifan, catatan lapangan, dan wawancara guru. Analisis data dilakukan secara kuantitatif deskriptif untuk angket dan kualitatif untuk observasi/wawancara. Hasil penelitian menunjukkan adanya peningkatan motivasi belajar yang bermakna setelah penerapan PjBL berbantuan IFP—ditandai oleh peningkatan persentase siswa yang menunjukkan motivasi tinggi, peningkatan partisipasi aktif, dan kualitas produk proyek IPAS. Temuan ini sejalan dengan penelitian-penelitian terkini tentang efektivitas PjBL dan peran IFP dalam meningkatkan keterlibatan dan motivasi siswa.
Abstract:Penelitian ini bertujuan untuk meningkatkan motivasi belajar siswa kelas V SD 28 Rawang pada pembelajaran Bahasa Indonesia melalui penerapan model pembelajaran Game Based Learning (GBL) berbantuan media Wordwall. Metode…
penelitian yang digunakan adalah Penelitian Tindakan Kelas (PTK) yang dilaksanakan dalam empat siklus, dan masing-masing siklus terdiri dari empat pertemuan. Subjek penelitian adalah 28 siswa kelas V. Instrumen penelitian meliputi lembar observasi motivasi belajar, angket motivasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa penerapan model GBL berbantuan Wordwall dapat meningkatkan motivasi belajar siswa secara signifikan. Rata-rata skor motivasi meningkat dari kategori rendah pada siklus I menjadi tinggi pada siklus IV. Dengan demikian, media Wordwall dalam pendekatan GBL efektif untuk meningkatkan motivasi belajar siswa pada mata pelajaran Bahasa Indonesia.