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:Abstract This study aims to analyze the implementation of the Integrated Licensing Service Information System (SIPINTER) at the Investment and One-Stop Integrated Services Office (DPMPTSP) of Tangerang Regency. The research…
earch is grounded in issues of low institutional responsiveness in following up on complaints, mismatches between actual service completion time and the Standard Operating Procedure (SOP), and uneven public socialization of the system. This study employs a descriptive method with a qualitative approach, using 3-dimensional e-government success model, namely Support, Capacity, and Value, as the analytical framework. Data were collected through field observation, regulatory documentation review, and in-depth interviews. The findings indicate that the Support dimension is backed by strong political will, allocated funding, and multi-channel socialization that has driven growth in registered users, though technical assistance responsiveness outside office hours remains weak. The Capacity dimension shows adequate human resources and staff competence, but the technological infrastructure remains prone to disruptions such as OTP delivery failures and server downtime. The Value dimension has produced tangible benefits in efficiency and service transparency, yet this value is undermined by document processing delays exceeding SOP standards, driven by a "digital red tape" practice among internal verification officers. This study recommends strengthening online technical support and adopting contingency resource mechanisms to improve service.
Keywords: SIPINTER, e-government, licensing service, DPMPTSP, Support-Capacity-Value model
Abstrak
Penelitian ini bertujuan untuk menganalisis Penerapan Sistem Informasi Pelayanan Perizinan Terpadu (SIPINTER) di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kabupaten Tangerang. Latar belakang penelitian ini didasari oleh masih rendahnya responsivitas instansi dalam menindaklanjuti laporan, ketidaksesuaian durasi penyelesaian layanan dengan Standar Operasional Prosedur (SOP), serta sosialisasi yang belum merata kepada masyarakat. Penelitian menggunakan metode deskriptif dengan pendekatan kualitatif, dengan analisis berlandaskan model keberhasilan e-government tiga dimensi yaitu Support, Capacity, dan Value. Hasil penelitian menunjukkan bahwa dimensi Support telah didukung oleh political will yang kuat, alokasi anggaran, dan sosialisasi multikanal yang mendorong pertumbuhan pengguna terdaftar, namun masih lemah dalam responsivitas bantuan teknis di luar jam kerja. Dimensi Capacity menunjukkan kecukupan sumber daya manusia dan kompetensi petugas, tetapi infrastruktur masih rentan mengalami gangguan teknis seperti kegagalan pengiriman OTP dan server down. Dimensi Value menghasilkan manfaat nyata berupa efisiensi dan transparansi pelayanan, namun nilainya terdegradasi akibat keterlambatan penyelesaian dokumen yang melampaui SOP, yang dipicu oleh praktik birokrasi digital (digital red tape) di tingkat verifikator internal. Penelitian ini merekomendasikan penguatan dukungan teknis daring serta penerapan mekanisme kontingensi sumber daya untuk meningkatkan layanan.
Kata Kunci: SIPINTER, e-government, pelayanan perizinan, DPMPTSP, model Support-Capacity-Value
Abstract:Service quality and the use of DIGI mobile banking application features are factors that can influence customer satisfaction in utilizing digital banking services. This study aims to determine the effect of service quality…
ty and the use of DIGI mobile banking features on customer satisfaction at Bank BJB KCP Katapang. The research method employed was quantitative, with data collected through questionnaires distributed to 96 respondents, both via Google Form and printed sheets. Data processing was carried out using SPSS version 25. The analysis results show that service quality has a significant effect on customer satisfaction, with a significance value of 0.000 < 0.05 and a t-count of 3.839 > t-table of 1.986. Similarly, the DIGI mobile banking application features also have a significant effect, with a significance value of 0.000 < 0.05 and a t-count of 3.741 > t-table of 1.986. Simultaneously, service quality and application features have a positive and significant effect on customer satisfaction, as evidenced by a significance value of 0.000 < 0.05 and an F-count of 41.054 > F-table of 3.09. These findings highlight the importance of improving service quality and optimizing application features to maintain and enhance customer satisfaction.
Abstract:PayLater services are one of the rapidly growing digital financial innovations widely utilised in fintech apps in Indonesia, including Kredivo and Akulaku. User reviews on the Google Play Store reflect a range of experiences,…
nces, from satisfaction with the ease of use of the service to complaints regarding bills, interest rates, late payment fees, credit limits, and app performance. This study aims to classify the sentiment of user reviews regarding PayLater services on the Kredivo and Akulaku apps using the Multinomial Naïve Bayes algorithm. Data was collected via web scraping from the Google Play Store and automatically labelled based on user ratings, with ratings of 1-2 classified as negative sentiment and ratings of 4-5 as positive sentiment, whilst a rating of 3 was excluded as it was considered ambiguous. Following a preprocessing stage comprising cleaning, case folding, tokenisation, stopword removal, and stemming, as well as feature extraction using TF-IDF, 3,652 reviews were obtained with a training-to-test data split ratio of 80:20. The results indicate that positive sentiment dominates the dataset at 56.49%, whilst negative sentiment accounts for 43.51%. Analysis by application revealed that Kredivo was dominated by positive sentiment (68.20%), whilst Akulaku was dominated by negative sentiment (51.70%). The Naïve Bayes multinomial model achieved an accuracy of 84.13%, with average precision, recall, and F1-score values of 0.84, demonstrating good and balanced classification performance across both sentiment classes.
Abstract:Arabic morphology constitutes a fundamental branch of classical Arabic linguistics, focusing on morphological word transformation (tashrif) and derivational morphology. Despite more than a millennium of development, epistemological…
temological inquiry into ilmu sharaf — concerning its sources of knowledge, methods of rule formation, and scientific validity — remains considerably limited in contemporary academic literature, with existing studies tending toward normative and pedagogical orientations that neglect its fundamental philosophical dimensions. This article aims to examine the epistemology of ilmu sharaf from the philosophy of science perspective, tracing its historical genealogy from the early Islamic codification period through to modern Arabic linguistics, and analyzing its contributions to contemporary Arabic morphology. The research employed a qualitative library research method with historical, epistemological, and comparative-linguistic approaches, utilizing critical analysis of relevant primary and secondary sources. The findings reveal that ilmu sharaf possesses a robust epistemological foundation derived from the Qur'an, hadith, classical Arabic fushah poetry, and qiyas (analogical reasoning), and was developed through the methods of sima' (documentation), istinbath (inference), and ta'lil (rational justification) by linguists of the Bashrahn and Kufahn schools. Ontologically, its subject matter is morphological word transformation that produces semantic change; axiologically, it functions to preserve Arabic linguistic purity and facilitate Qur'anic comprehension. The contributions of ilmu sharaf to modern Arabic linguistics are demonstrably significant, particularly in the development of root-and-pattern morphology theory, derivational semantics, and Arabic natural language processing (NLP). These findings indicate that the classical sharaf tradition is not merely historically relevant but also carries important methodological implications for contemporary Arabic computational linguistics.
Abstract:The increasing environmental issues, particularly the problem of plastic waste in Indonesia, as well as the gap between awareness and purchasing behavior of environmentally friendly products, have become important phenomena…
ena in this study. This study aims to analyze the effect of green promotion and green packaging on green purchase behavior, as well as to examine the role of environmental knowledge as a mediating variable in Easy Green Unilever products. In this study, data were collected through a survey distributed to users of Easy Green Unilever products in Indonesia, with a total of 400 respondents obtained. The research method employed a descriptive and quantitative approach, using non-probability sampling with a purposive sampling technique. In data processing, this study utilized SmartPLS software. The results indicate that green promotion and green packaging have a positive and significant effect on green purchase behavior. In addition, environmental knowledge is proven to have a significant effect on green purchase behavior and is able to mediate the relationship between green promotion and green packaging on green purchase behavior. The conclusion of this study emphasizes that increasing consumers’ environmental knowledge is a key factor in strengthening the effectiveness of green marketing strategies in encouraging environmentally friendly purchasing behavior.
Abstract:This study aims to examine the effect of village apparatus competence and community participation on the accountability of village financial management in the villages of Talaga Jaya District, Gorontalo Regency. The method…
od used is quantitative with primary data collection through questionnaires distributed to village apparatus with a total sample of 110 respondents. Data processing was carried out using SPSS version 26 with analysis stages including validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, hypothesis testing, and coefficient of determination tests. The results showed that partially, village apparatus competence has a positive and significant effect on the accountability of village financial management. Similarly, community participation has a positive and significant effect on the accountability of village financial management. Simultaneously, both variables significantly affect accountability of village financial management. These findings have practical implications for village apparatus in Talaga Jaya District to improve accountability through strengthening village apparatus competence and expanding community participation spaces in every stage of financial management, from planning to accountability.
Abstract:This article aims to analyze the scientific content in the field of Ancient Mesopotamian ziggurat architecture presented in the History textbook of the 2009 School-Based Curriculum by Tarunasena M. This study uses a qualitative…
itative approach with a content analysis method to examine historical discourse related to the development of science, technology, and civilization in Mesopotamia, especially in the Sumerians, Assyrians, and Chaldeans. The results of the Analysis show that the narrative in the textbook has included a representation of the progress of Mesopotamian civilization through orderly urban planning, the use of clay building materials, mastery of arithmetic and geometry, metal processing, the construction of ziggurats as religious and political symbols, the establishment of libraries as centers of knowledge, and the creation of monumental architectural works such as the Hanging Gardens of Babylon. These findings indicate that textbooks play an important role in transmitting to students the values of scientific progress, innovation, and the heritage of civilization.
Abstract:This research aims to determine the effect of the implementation of e-attendance on the discipline of State Civil Apparatus (ASN) at the Regional Personnel Agency of Gorontalo Province. This research uses a quantitative…
approach with a sample of 80 State Civil Apparatus members. The data types in this study are both primary and secondary. Data collection was done by distributing questionnaires to employees at the Regional Personnel Agency of Gorontalo Province. Data analysis was performed using simple linear regression analysis, with data processing conducted using SPSS 25. The results of this research show that e-attendance has a positive effect on the discipline of State Civil Apparatus in the Regional Personnel Agency of Gorontalo Province, with an R Square value of 0.608, meaning that 60.8% of ASN discipline is influenced by e-attendance, while the remaining 39.2% is influenced by variables not included in this study.