Abstract:Abstract: The development of digital technology has increased the need for access to scientific information, especially related to academic journal publications. The Science and Technology Index (SINTA) website is one of…
the main platforms that provides information on accredited scientific journals in Indonesia. However, the process of searching and collecting journal data on the website is still done manually, so it is less efficient when the amount of data needed is large enough. This research aims to implement and evaluate web scraping techniques in collecting journal data on the SINTA website so that the data acquisition process can be carried out automatically, quickly, and in a structured manner. The research method uses an implementive approach through the stages of literature study, analysis of the structure of website pages, development of a system using the Python programming language with the BeautifulSoup library, data collection, database storage, and evaluation of extraction results. The results of the study show that the implementation of the web scraping technique succeeded in obtaining as many as 15,456 journal data from the SINTA website in 2026 which includes information on journal names, publishing institutions, accreditation categories, ISSN, fields of science, and journal website links. The developed system is also capable of storing data in a structured manner into a database and supports regular information updates. The results of the evaluation show that the web scraping technique is able to improve the efficiency of data collection, minimize manual processes, and produce more systematic journal data. Thus, the implementation of web scraping techniques can be an effective solution in supporting the needs of academics and researchers to obtain journal information quickly and accurately.
Keywords: Web Scraping, SINTA, Scientific Journals, Python, Beautifulsoup, Data Extraction.
Abstrak: Perkembangan teknologi digital telah meningkatkan kebutuhan akses terhadap informasi ilmiah, terutama yang berkaitan dengan publikasi jurnal akademik. Situs web Indeks Sains dan Teknologi (SINTA) merupakan salah satu platform utama yang menyediakan informasi tentang jurnal ilmiah terakreditasi di Indonesia. Namun, proses pencarian dan pengumpulan data jurnal di situs web tersebut masih dilakukan secara manual, sehingga kurang efisien ketika jumlah data yang dibutuhkan cukup besar. Penelitian ini bertujuan untuk mengimplementasikan dan mengevaluasi teknik web scraping dalam pengumpulan data jurnal di situs web SINTA sehingga proses akuisisi data dapat dilakukan secara otomatis, cepat, dan terstruktur. Metode penelitian menggunakan pendekatan implementasi melalui tahapan studi pustaka, analisis struktur halaman web, pengembangan sistem menggunakan bahasa pemrograman Python dengan pustaka BeautifulSoup, pengumpulan data, penyimpanan basis data, dan evaluasi hasil ekstraksi. Hasil penelitian menunjukkan bahwa implementasi teknik web scraping berhasil memperoleh sebanyak 15.456 data jurnal dari situs web SINTA pada tahun 2026 yang mencakup informasi tentang nama jurnal, lembaga penerbitan, kategori akreditasi, ISSN, bidang ilmu, dan tautan situs web jurnal. Sistem yang dikembangkan juga mampu menyimpan data secara terstruktur ke dalam basis data dan mendukung pembaruan informasi secara berkala. Hasil evaluasi menunjukkan bahwa teknik web scraping mampu meningkatkan efisiensi pengumpulan data, meminimalkan proses manual, dan menghasilkan data jurnal yang lebih sistematis. Dengan demikian, implementasi teknik web scraping dapat menjadi solusi efektif dalam mendukung kebutuhan akademisi dan peneliti untuk memperoleh informasi jurnal dengan cepat dan akurat.
Kata kunci: Web Scraping, SINTA, Jurnal Ilmiah, Python, Beautifulsoup, Ekstraksi Data.
Abstract:The purpose of this study was to assess the students’ ability to analyze interpersonal meaning through the Mood System in English text. The study used a qualitative descriptive design. The participants of this study were…
re 20 students of English Education Study Programmed of Universitas Asahan who had acquired Systemic Functional Linguistics especially in interpersonal meaning and analysis of Mood System. The data were acquired by means of a written test in which students were asked to analyze five clauses selected from English texts. The analysis was in four parts: identifying Subject, identifying Finite, finding forms of Mood and distinguishing Mood and Residue structures. Data were analyzed descriptively by data collection, data reduction, data display and conclusion drawing. The findings showed that the students performed well to exceptional in analyzing interpersonal meaning through the Mood System. The students scored 86% in identifying Subject, 84% in identifying Finite, 100% in identifying Mood kinds and 88% in differentiating Mood and Residue structures. The findings also showed that the most challenging thing that students found to recognized was Finite since many students got confused with Finite and Predicator in verbal groups. In conclusion, the results suggest that the students were able to comprehend the communicative roles that are expressed by Mood structures in English clauses. The present study reveals the effectiveness of Mood System analysis in assisting students to comprehend interpersonal meaning and enhance their discourse analysis competency in English language acquisition
Abstract:Indonesian language instruction within tertiary educational institutions in Indonesia encounters a significant hurdle due to students' inadequate literacy capabilities. A potential method to address this issue is the integration…
egration of deep learning techniques to enhance language proficiency. This research This research is designed to investigate the implementation of deep learning in the acquisition of the Indonesian language, emphasizing aspects such as historical analysis of the language, spelling verification (EYD), selection of words (diction), arrangement of paragraphs, and scientific writing conventions. The approach employed is a Systematic Literature Review (SLR), aiming to pinpoint and compile existing research pertinent to the use of deep learning in educational settings. Findings indicate that utilizing deep learning can serve as an effective strategy for boosting students' comprehension of the rules governing the Indonesian language through automated feedback that aids in refining spelling, sentence construction, and vocabulary selection. This methodology not only expedites the educational process but also elevates the quality of writing while facilitating the enhancement of students' skills in scientific writing. Deep learning offers a more engaging and relevant framework for studying the Indonesian language at the university level.
Abstract:Abstract: Instant messaging platforms are frequently involved in cyber incidents, including attacker coordination, credential sharing, and post-compromise extortion. This study develops a digital forensic investigation framework…
ramework for WhatsApp Web and Telegram to support hacking investigation through artifact mapping, evidence acquisition, and chain of custody management. The method uses a focused literature review, scenario-based investigation design, and comparative analysis of artifacts across browser, operating system, and application layers. The results produce an artifact taxonomy, an acquisition decision matrix covering logical, file-system, and memory approaches, and concise standard operating procedures to preserve evidence integrity, traceability, and reproducibility. The proposed framework can support institutional incident response teams, internal investigators, and digital forensic practitioners in improving evidence quality and investigation effectiveness.
Keywords: Digital Forensics; Whatsapp Web; Telegram; Chain of Custody; Cyber Incident.
Abstrak: Aplikasi pesan instan sering terlibat dalam insiden keamanan siber, termasuk koordinasi serangan, distribusi kredensial hasil kompromi, dan pemerasan pascainsiden. Penelitian ini mengembangkan kerangka investigasi forensik digital pada WhatsApp Web dan Telegram untuk mendukung hacking investigation melalui pemetaan artefak, akuisisi bukti, dan pengelolaan chain of custody. Metode yang digunakan berupa studi literatur terarah, perancangan skenario investigasi, dan analisis perbandingan artefak pada lapisan browser, sistem operasi, dan aplikasi. Hasil penelitian menghasilkan taksonomi artefak, matriks keputusan akuisisi yang mencakup pendekatan logis, file- system, dan memori, serta prosedur operasional ringkas untuk menjaga integritas, keterlacakan, dan reprodusibilitas bukti. Kerangka yang diusulkan dapat membantu tim respons insiden, penyidik internal, dan praktisi forensik digital dalam meningkatkan kualitas bukti dan efektivitas investigasi.
Kata Kunci: Digital Forensics; Whatsapp Web; Telegram; Chain of Custody; Insiden Siber
Abstract:Abtract: This study examines Sad Sasana leadership and elementary school teachers' job motivation in Buleleng Regency. Teachers are vital to education, yet low-quality teaching, educational frameworks, and pedagogical practices…
practices continue to hinder them. Teachers are crucial to knowledge acquisition and educational progress. Student performance is highly tied to teacher quality. Thus, teachers must have competences matched with national education standards to perform their duties with excellence, resulting in knowledgeable and skilled students. These findings illuminate numerous key characteristics that affect primary teacher performance. In Buleleng Regency, Sad Sasana leadership (X1) directly affects elementary school teachers (Y). The influence of Sad Sasana leadership on teacher performance was 0.806, or 80.6%. Work motivation (X2) significantly affects elementary school teachers' (Y) performance in Buleleng Regency. Work motivation affected teacher performance by 0.583, or 58.3% of the variance.
Keywords: Sad Sasana Leadership, Work Motivation, Teacher Performance, Elementary School
Abstrak: Studi ini meneliti kepemimpinan Sad Sasana dan motivasi kerja guru sekolah dasar di Kabupaten Buleleng. Guru sangat penting bagi pendidikan, namun pengajaran berkualitas rendah, kerangka kerja pendidikan, dan praktik pedagogis terus menghambat mereka. Guru sangat penting untuk perolehan pengetahuan dan kemajuan pendidikan. Kinerja siswa sangat terkait dengan kualitas guru. Dengan demikian, guru harus memiliki kompetensi yang sesuai dengan standar pendidikan nasional untuk melaksanakan tugasnya dengan sangat baik, sehingga menghasilkan siswa yang berpengetahuan dan terampil. Temuan ini menjelaskan berbagai karakteristik kunci yang memengaruhi kinerja guru sekolah dasar. Di Kabupaten Buleleng, kepemimpinan Sad Sasana (X1) secara langsung memengaruhi guru sekolah dasar (Y). Pengaruh kepemimpinan Sad Sasana terhadap kinerja guru adalah 0,806, atau 80,6%. Motivasi kerja (X2) secara signifikan memengaruhi kinerja guru sekolah dasar (Y) di Kabupaten Buleleng. Motivasi kerja memengaruhi kinerja guru sebesar 0,583, atau 58,3% dari varians.
Kata Kunci: Kepemimpinan Sad Sasana, Motivasi Kerja, Kinerja Guru, Sekolah Dasar
Abstract:Abstract: Digital image processing plays an important role in object classification, both for research and practical applications. This study discusses the implementation of the K-Means Clustering method for identifying…
and classifying images of pandas, lions, and handycam devices using MATLAB software. The research stages include image acquisition, preprocessing such as image conversion and normalization, feature extraction based on color and texture, and classification using the K-Means algorithm. Experimental results show that the K-Means method is capable of grouping objects into the appropriate classes based on image feature similarity. The system’s accuracy is influenced by input image quality, cluster parameters, and the amount of training data used. Therefore, this study demonstrates that K-Means can be applied as a simple yet effective method for object image classification, particularly in distinguishing between animal types and non-living objects such as handycams.
Keywords: K-Means, Image Processing, MATLAB, Object Classification, Panda, Lion, Handycam
Abstrak: Pengolahan citra digital memiliki peran penting dalam bidang klasifikasi objek, baik untuk penelitian maupun implementasi praktis. Penelitian ini membahas penerapan metode K-Means Clustering dalam proses identifikasi dan klasifikasi citra panda, singa, serta perangkat handycam menggunakan perangkat lunak MATLAB. Tahapan penelitian meliputi akuisisi citra, pra-pemrosesan berupa konversi citra dan normalisasi, ekstraksi fitur warna dan tekstur, serta proses klasifikasi dengan algoritma K-Means. Hasil percobaan menunjukkan bahwa metode K-Means mampu mengelompokkan objek ke dalam kelas yang sesuai berdasarkan kemiripan fitur citra. Tingkat akurasi sistem dipengaruhi oleh kualitas citra masukan, parameter klaster, dan jumlah data latih yang digunakan. Dengan demikian, penelitian ini membuktikan bahwa K-Means dapat dijadikan metode sederhana namun efektif dalam klasifikasi citra objek, khususnya untuk membedakan jenis binatang dan perangkat non-hayati seperti handycam.
Kata kunci: K-Means, Pengolahan Citra, MATLAB, Klasifikasi Objek, Panda, Singa, Handycam
Abstract:Abstract: Indonesia is one of country that is currently facing challenges in economic development. The main cause is the increasing of population, while that, the land supply is limited. The facts it was caused land conflict…
lict in various aspects and in some areas fighting over rare economics good, it is mean land. The government itself has difficulty obtaining land if it wants to build infrastructure or invite investment. Meanwhile, the available land regulations and land institutions are not sufficient to resolve the issue of land acquisition for economic development purposes. Therefore, Government Regulation Number 64 of 2021 concerning Land Bank Agency was issued. This study aims to analyze to the existence of the Land Bank when examined from the perspective of the UUPA. The method used in this study is doctrinal law with a statute approach. The conclusion of this study is that the existence of the Land Bank causes of conflict of legal norms in the national land law system and has not been able to create an effective solution in land acquisition for development public interest.
Keyword: Land Scarcity, Land Acquisition, Land Bank, Conflict of Legal Norms, UUPA
Abstrak: Indonesia termasuk negara yang kini menghadapi tantangan dalam pembangunan ekonomi. Penyebab utamanya adalah jumlah penduduk yang semakin meningkat namun persediaan tanah tidak bertambah. Akibatnya, di berbagai daerah seringkali terjadi konflik pertanahan karena memperebutkan “barang ekonomi” yang semakin langka dan berharga. Pemerintah sendiri mengalami kesulitan memperoleh tanah jika ingin membangun infrastruktur atau mengundang investasi. Sementara itu, regulasi dan lembaga pertanahan yang tersedia tidak cukup untuk menyelesaikan persoalan pengadaan tanah untuk kepentingan pembangunan ekonomi. Oleh kerena itu, diterbitkan Peraturan Pemerintah Nomor 64 Tahun 2021 tentang Badan Bank Tanah. Penelitian ini bertujuan untuk menganalisis eksistensi Bank Tanah jika dikaji dari perspektif UUPA. Metode yang digunakan dalam penelitian ini adalah hukum doktrinal dengan pendekatan perundang-undangan (statue approach). Kesimpulan dari penelitian ini adalah keberadaan Bank Tanah menimbulkan konflik norma hukum dalam sistem hukum pertanahan nasional dan belum dapat menciptakan solusi efektif dalam pengadaan tanah bagi pembangunan untuk kepentingan umum.
Kata kunci: Kelangkaan Tanah, Pengadaan Tanah, Bank Tanah, Konflik Norma Hukum, UUPA
Abstract:Road Infrastructure Development Projects not only serve to facilitate and accelerate access to communities everywhere but also as a means to stimulate economic growth and tourism in a region. In the process of liberation…
of rights, landowners must be given a sense of justice and legal certainty in paying losses fairly and in accordance with the procedures regulated by law. For that I raised the title of the research “Compensation of Land Construction Road Tol Medan-Tebing High Year 2013” to understand the legal protection that Pemkot has in acquiring land and the mechanism of solving the problem of land acquisition. The types of research used are normative juridic and qualitative descriptive. Techniques of data collection through interviews and observations and libraries. The data is collected and analyzed qualitatively. According to paragraph 2, no. 2 In 2012, the legal protection in land acquisition for the public interest includes the provision of fair and fair compensation to the legal party. Articles 17 and 18 of Kepres No. 36 of 2005 regulate the determination of damages. In accordance with the Law No. 2 of 2012, the process of procurement of highway tolls Field-Tebing began.
Abstract:The cash flow statement presents the company's cash flows are divided into 3 categories, which is operating, investing and financing activities. The purpose of this research is to examine and analyze cash flow shenanigans…
s at PT Cakra Mineral Tbk in 2014-2016. This research is in the form of a case study involving fraud cases committed by PT Cakra Mineral Tbk. In detecting and analyzing fraud in company financial statements, this study uses secondary data that can be obtained from the IDX website or company website. The results of the analysis show that there are indications that PT Cakra Mineral Tbk has fake cash flows because the company consolidated its financial statements with two companies that had not been legally acquired. This can lead to an increase in revenue as shown in the 2016 report. This significant increase in sales can also be caused by an acquisition agreement that has beautified its financial statements. Apart from that, this company can also be said to be a red flag of selling receivables due to a drastic decrease of receivables in 2016, while in previous years there was no decrease as much. Based on the results of the analysis, this fraud has caused losses to various parties.
Abstract:The rapid growth of electronic transactions necessitates systems capable of monitoring seller quality and reputation across marketplace platforms. This study aims to design and implement a seller referral system on a Laravel…
avel 13 based e-commerce platform integrated with performance monitoring and seller accountability mechanisms. Built using the Prototype model encompassing communication, planning, modeling, prototyping, and deployment phases the system utilizes MySQL for database management. Registered sellers can distribute unique referral codes to prospective sellers, with the system automatically recording these relationships to enable structured tracking of activities, product counts, store ratings, and access status of referred sellers. Functional testing conducted via a black-box approach demonstrated that the authentication, referral registration, dashboard, monitoring, order management, and store settings modules operated strictly according to specifications, achieving a 100% test case pass rate. The primary contribution of this research lies in shifting the referral paradigm from simple user acquisition to a peer-accountability framework that holds referring sellers responsible for the performance of their recruits, thereby mitigating the presence of unreliable sellers and fostering greater trust in the online shopping environment.