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:This study aims to examine the effect of implementing the Sam'iyah Syafawiyah method based on a communicative approach on students' self-confidence in speaking Arabic through a library research approach. The study employs…
s a qualitative method with a systematic literature review, analyzing and synthesizing scientific sources including books, international and national journals, articles, proceedings, and relevant research findings. Data sources were obtained from scientific databases such as Google Scholar, JSTOR, ScienceDirect, ERIC, and national digital repositories. The findings consistently demonstrate that the Sam'iyah Syafawiyah method integrated with the communicative approach has a positive and significant influence on students' self-confidence in speaking Arabic. This effect operates through four main mechanisms: (1) repetitive drilling builds mastery experience; (2) native speaker audio models provide vicarious experience; (3) the communicative approach reduces affective filters; and (4) intensive practice promotes automaticity in Arabic speech production. This study concludes that the integration of both methods constitutes an effective and recommended pedagogical strategy for improving self-confidence in Arabic speaking.
Penelitian ini bertujuan untuk mengkaji pengaruh penerapan metode Sam'iyah Syafawiyah berbasis pendekatan komunikatif terhadap kepercayaan diri peserta didik dalam berbicara bahasa Arab melalui pendekatan library research (studi kepustakaan). Penelitian menggunakan metode kualitatif dengan kajian literatur sistematis, yakni menganalisis dan mensintesis berbagai sumber ilmiah berupa buku, jurnal nasional dan internasional, artikel, prosiding, dan hasil penelitian yang relevan. Sumber data diperoleh dari berbagai basis data ilmiah seperti Google Scholar, JSTOR, ScienceDirect, ERIC, dan repositori digital nasional. Hasil kajian secara konsisten menunjukkan bahwa metode Sam'iyah Syafawiyah yang diintegrasikan dengan pendekatan komunikatif memberikan pengaruh positif dan signifikan terhadap kepercayaan diri peserta didik dalam berbicara bahasa Arab. Pengaruh ini bekerja melalui empat mekanisme utama: (1) latihan drill berulang membangun mastery experience; (2) model audio native speaker memberikan vicarious experience; (3) pendekatan komunikatif menurunkan filter afektif; dan (4) latihan intensif mendorong otomatisasi produksi ujaran bahasa Arab. Penelitian ini menyimpulkan bahwa integrasi kedua metode tersebut merupakan strategi pedagogis yang efektif dan direkomendasikan untuk meningkatkan kepercayaan diri berbicara bahasa Arab.
Abstract:Kemampuan menyimak (maharah istima’) merupakan salah satu keterampilan dasar yang paling krusial sekaligus paling sulit dikuasai dalam pembelajaran bahasa Arab, terutama di konteks perguruan tinggi Islam di Indonesia. Mahasiswa…
Mahasiswa kerap menghadapi hambatan berupa minimnya paparan audio autentik, terbatasnya umpan balik yang segera, dan kurangnya media pembelajaran yang adaptif. Penelitian ini bertujuan mengkaji secara mendalam bagaimana teknologi kecerdasan buatan (AI) dapat diimplementasikan secara efektif untuk meningkatkan kemampuan istima’ mahasiswa Program Studi Pendidikan Bahasa Arab STAI Nurul Falah Air Molek. Menggunakan pendekatan kualitatif dengan desain studi kasus, data dikumpulkan melalui observasi partisipatif, wawancara mendalam dengan delapan mahasiswa dan dua dosen, serta analisis dokumen pembelajaran selama satu semester. Hasil penelitian menunjukkan bahwa integrasi platform AI berbasis pengenalan suara otomatis (Automatic Speech Recognition/ASR), seperti Google Speech API, Forvo, dan aplikasi Duolingo Arabic, secara signifikan meningkatkan intensitas dan kualitas latihan menyimak mahasiswa. Mahasiswa melaporkan peningkatan pemahaman kosakata kontekstual sebesar 40–60%, dan kepercayaan diri dalam menyimak teks Arab autentik meningkat secara terukur. Temuan ini menegaskan bahwa AI bukan sekadar alat bantu, melainkan dapat berperan sebagai mitra belajar adaptif yang mampu menjawab kelemahan metode konvensional dalam pengajaran maharah istima’.
Abstract:The development of artificial intelligence (AI) technology, especially deep learning, has made significant contributions in various fields, including the world of education. In the context of Islamic Religious Education…
(PAI), the biggest challenge today is how to deliver teaching materials effectively, adaptively, and relevant to the development of the times and the characteristics of the digital generation. Deep learning implementations offer a variety of opportunities to support a more personalized, interactive, and efficient learning process. Through an algorithm-based approach, deep learning is able to process student learning data to provide a learning experience tailored to individual learning styles. The application of this technology also allows for automatic assessment of students' understanding through text, voice, and expression analysis, so that teachers can focus more on providing character development and spiritual values. On the other hand, the use of AI-based chatbots and intelligent assistants can facilitate discussions and consultations about Islamic teachings instantly and factually. The methodology used in this study is a descriptive qualitative study with a literature study and case study approach. Data were collected through a review of national and international scientific literature and focused observations on the practice of AI implementation in several madrassas and Islamic schools in Indonesia. The analysis was carried out thematically by identifying patterns, opportunities, and challenges of applying deep learning in PAI learning. The results of this study are expected to make a scientific contribution to the development of technology-based Islamic education in the digital era.
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:One of the steps in the tyre manufacturing process is the Tyre Building Machine. The tread is the last component to be fitted to the tyre carcass after all other components have been installed. When measuring the length…
of the pre-adjusted tread, errors or variations often occur in the measurements taken by the measuring device due to its lack of accuracy. This prevents operators from using the tyre tread and can result in a large amount of scrap and wasted time during the tyre manufacturing process. To overcome this problem, a redesigned tread length measurement system with a higher level of accuracy was created to minimise tread length fluctuations during tyre manufacturing. The results of the tread length measurement procedure using the ENC-1-1-24-N type rotary encoder can function according to the program created. This is validated by the tread length measurement data. The results of the HMI display design and the software created can operate according to the desired instructions. To change the tread length, the operator only needs to enter the number on the HMI panel.
Abstract:This research examines how decentralization policy in Indonesia shapes public administration strategies in tourism destination development across two major cities in West Sumatera: Padang City and Bukittinggi City, which…
possess distinct geographical characteristics, governmental structures, and fiscal capacities. Through a comparative literature study finds that Padang City adopts a coastal modernization strategy oriented toward infrastructure and MICE (Meetings, Incentives, Conventions, and Exhibitions), whereas Bukittinggi City develops a heritage conservation and community based governance approach. Decentralizations demonstrates a characteristics of asymmetrical governance, where fiscal capacity and geographical context significantly determine the local government’s ability to formulate tourism strategies. This study contributes to the theory of destination governance and decentralizations by ooffering the perspective that regional autonomy does not automatically enhance policy effectiveness: rather, it must be supported by institutional capacity, collaboration, and policy fit with the unique characteristics of the tourist destination.
Abstract:The rapid growth of cryptocurrency transactions presents both opportunities for innovation and risks of cross-border financial crime, including tax evasion and money laundering, which challenge the effectiveness of traditional…
tional regulation. This study aims to analyze the effectiveness of platform-based law enforcement particularly the implementation of the Travel Rule, CARF, and KYC in the Indonesian context. The research employs a qualitative multi-site case study method with data triangulation from international literature (FATF, OECD, IMF, Chainalysis, Cambridge) and national regulations (OJK, PPATK, DJP). The findings indicate that cryptocurrency platforms serve as key actors in detection and enforcement; however, their effectiveness is constrained by the sunrise problem, the migration of illicit activities into DeFi and OTC ecosystems, and legal sovereignty tensions arising from the dominance of global platforms. This study introduces the concept of Platform-Embedded Enforcement as a novel theoretical framework, integrating monitoring and enforcement mechanisms directly into platform architectures, thereby enabling compliance to be enforced automatically, in real time, and across jurisdictions. These findings contribute to the development of more adaptive, holistic, and effective cryptocurrency regulation in emerging markets.
Abstract:21st century skills absolutely must be taught at all levels of education, especially elementary schools, because students have experienced very fast changing times. Elementary school students are automatically involved in…
n becoming part of 21st century society. Therefore, 21st century 4C skills, namely Critical Thinking and Problem Solving, Communication, Collaboration, and Creativity and innovation should be taught at all levels of elementary school classes according to the development and needs of students . The aim of the study is to describe the nature of 21st century skills and the importance of their application in elementary schools. The research method used is literature study. The data sources in this study were examined from various reading sources such as books and journal articles. This method is carried out so that this journal article can provide relevant and reliable information based on data sources and provide a clear picture of 21st Century 4C skills in elementary schools. The results of this study indicate that teaching 21st century skills is a necessity for every school to form skilled students in 21st century society. The learning objectives are so that students are familiar with good communication, cooperate in a compact manner, are critical of problems and are able to solve them, and are critical and innovative in their work produce new goods.
Abstract:Efficient queue management is a major challenge in public services, including in Cibeunying District. Traditional manual systems often lead to unorganized queues, long waiting times, and public dissatisfaction. This study…
y aims to design and implement a more modern and structured technology-based queue numbering system. The system is designed as a web-based application that allows users to take queue numbers directly on-site or via mobile devices. Additionally, the system is equipped with an automatic call feature, where if a number is not present after two calls, the next number is automatically called. The implementation results show that this system can improve service efficiency, reduce waiting times, and provide a more convenient experience for the community. With this system, the Cibeunying District can significantly optimize the quality of its public services.