This study uses a qualitative method to analyze the optimization of digital branding strategies in enhancing the competitiveness of Islamic banks in the digital economy era. Changes in consumer behavior, advancements in information technology, and increasing competition in the banking sector are the main factors driving the importance of digital branding as a modern marketing strategy. Islamic banks are required not only to comply with Sharia principles but also to adapt to digital transformation dynamics to maintain their relevance. This study explores various elements of digital branding such as digital visual identity, social media interaction, and brand narratives based on Islamic values that help shape positive consumer perceptions. The findings reveal that Islamic banks that consistently implement digital branding strategies are more likely to build customer loyalty, increase brand awareness, and create strong differentiation from conventional competitors. These findings affirm that digital branding is not merely a promotional tool but a strategic instrument in building public trust and brand image in the rapidly evolving digital transformation era.
 
 

Economic growth measures the achievement of the development of an economy from one period to the next. Theoretically, government spending allocated for the public interest and public welfare will encourage an increase in per capita income that is getting bigger from year to year. Investment is essentially also the initial step in economic development activities. This study aims to determine the Effect of Development Spending and Investment on Economic Growth in North Sumatra Province. The analysis technique used is data analysis in this study using a descriptive analysis method based on the descriptions that support the analysis. The results of this study indicate that partially the government spending variable has a significant negative effect on economic growth in North Sumatra Province with a significance value of 0.0030.05. Based on the results of the simultaneous test calculation, it is known that both government spending and investment variables simultaneously have a positive and significant effect on economic growth in North Sumatra Province with a significance value of 0.030.

Press criminal law has significant implications in the case of sending a pig's head to the editorial office of Tempo, an event that has drawn attention regarding press freedom and the limits of expression. This research aims to analyze how the provisions of press criminal law can be applied in the context of acts of intimidation against the media as occurred in this case. Employing a normative juridical study method with a case approach, this research will examine potential criminal violations and the relevance of the Press Law in providing protection for press freedom. The main focus of the analysis is to understand the limitations that can be imposed on expression, especially when such actions have the potential to threaten or create fear among journalists. This case is important to evaluate in order to maintain the dignity of the press as a free and independent pillar of democracy. Furthermore, this research is expected to contribute to a deeper understanding of how the legal system responds to actions that can undermine press freedom in Indonesia, as well as provide recommendations for more effective law enforcement in protecting press freedom without neglecting the principles of justice.

Educational research requires a thorough understanding of population and sample concepts as the foundation for ensuring the validity and generalizability of findings. This article explores the fundamental differences between population and sample, the implications of their selection on research outcomes, and appropriate strategies for selecting a representative sample. By reviewing commonly used sampling approaches, such as probability and non-probability techniques, this paper highlights the importance of aligning the method with the research objectives and context. A clear understanding of these concepts is crucial for researchers to produce accurate, reliable, and contextually relevant educational data.

The development of technology communication and information has produce the phenomenon of digital legacy, which is a person's digital footprint that remains stored and persists after they pass away.This digital legacy not only reflects a person's identity and personal life but also stores sensitive and private data.In the perspective of human rights, the right to privacy is a base right that must be protected, including personal data post-mortem. However, the legal system in Indonesia has not explicitly regulated the protection of digital legacy, resulting in a legal vacuum that potentially violates the right to privacy.This research uses a normative method with a legislative approach and a case approach.The study results show that the absence of national legal norms specifically regulating digital legacy causes society to depend on the internal policies of foreign digital platforms, which do not guarantee justice and human rights protection. National regulations are needed that specifically govern the protection of personal data post-mortem as a form of respect for human privacy and dignity, as well as a tangible manifestation of the state's responsibility to guarantee the human rights of its citizens in the digital era.

The use of social media as a means of the press has various legal implications amidst the rapid development of information technology. Social media makes it easy to disseminate information quickly and widely, but on the other hand, the absence of clear regulations in categorizing it as part of the formal press raises legal problems, especially related to responsibility for content, protection of individual rights, and freedom of expression. This study aims to examine the position of social media in the legal framework of the press in Indonesia, and to analyze its legal consequences for users who act as conveyors of public information. Using the normative juridical method, it was found that social media has not received explicit recognition as a press entity in the Press Law, thus creating legal loopholes in terms of accountability and legal protection. Regulatory updates are needed to ensure legal certainty and maintain a balance between freedom of expression and legal responsibility in the digital era.

Mengabadikan momen dengan foto telah menjadi gaya hidup masyarakat saat ini, menjadikan layanan fotografi semakin banyak dicari. Meski begitu, proses menemukan layanan fotografi masih mengandalkan rekomendasi teman atau media sosial yang mana belum optimal karena keterbatasan informasi. Penelitian ini difokuskan pada perancangan antarmuka dan pengalaman pengguna aplikasi marketplace jasa fotografi, dengan menggunakan metode Design Thinking yang berpusat pada pengguna. Terdapat dua siklus iterasi dalam pengembangan, di mana hasil evaluasi tahap pertama digunakan untuk memperbaiki kekurangan pada tahap selanjutnya. Hasil desain diuji melalui usability testing dengan bantuan Maze dan kuesioner SUS, mengacu pada tiga indikator usability sesuai ISO 9241-11: efektivitas, efisiensi, dan kepuasan pengguna. Dari hasil pengujian terakhir, tingkat efektivitas pengguna pencari jasa tercatat 97% dan efisiensi 93,3%; fotografer menunjukkan efektivitas 95,7% dan efisiensi 93,6%. Skor SUS untuk kepuasan pengguna masing-masing adalah 91,5 dan 90, yang termasuk kategori A dan dinilai acceptable.
Kata Kunci - Design Thinking, Marketplace, Fotografer, UI/UX

Artikel jurnal ilmiah terus meningkat setiap tahunnya, sering kali mempersulit pembaca dalam menyaring informasi inti secara efisien. Informasi yang kurang efisien membuat pembaca harus membaca ulang artikel sehingga memerlukan banyak waktu. oleh karena itu, dibutuhkan sebuah alat untuk menemukan inti informasi dari artikel jurnal ilmiah secara cepat dan efisien. Untuk mengatasi masalah ini, peringkasan teks secara otomatis diperlukan, khususnya untuk artikel jurnal ilmiah berbahasa indonesia. Penelitian ini mengembangkan sistem peringkasan teks otomatis menggunakan metode Fuzzy C-Means dan Vector Space Model menggunakan pembobotan kalimat TF-IDF (Term Frequency Invers Document Frequency). Evaluasi sistem menggunakan metriks ROUGE-1 dan ROUGE-2. Hasil pengujian menunjukkan bahwa sistem terbaik, pada tingkat kompresi 30% serta menggunakan stemming memberikan hasil terbaik dan seimbang, dengan rata-rata ROUGE-1 Precission 0.5331, Recall 0.5034, F1-Score 0.4975 dan Accuracy 0.5183. Hasil penelitian ini menunjukkan bahwa model dengan stemming lebih disarankan untuk menghasilkan ringkasan yang lebih relevan dan akurat pada tingkat kompresi yang lebih tinggi.
 
Kata kunci: Fuzzy C-Means, Vector Space Model, Peringkasan Teks

Indeks Prestasi Kumulatif (IPK) merupakan indikator utama dalam menilai keberhasilan akademik mahasiswa. Berbagai faktor, termasuk kesehatan mental dan fisik, berkontribusi terhadap pencapaian ini. Penelitian ini bertujuan untuk membangun model prediksi IPK menggunakan algoritma Decision Tree dan Random Forest berbasis Feature Engineering. Proses feature engineering mencakup feature selection untuk memilih fitur paling relevan, diikuti oleh feature extraction yang menyederhanakan fitur menjadi dua kategori utama: kesehatan mental dan fisik. Data diperoleh melalui survei terhadap 7.022 mahasiswa dari berbagai universitas luar negeri, mencakup faktor usia, jurusan, tingkat stres, kecemasan, serta pola tidur, aktivitas fisik dan lain sebagainya. Model prediksi dikembangkan menggunakan Decision Tree dan Random Forest, dengan evaluasi akurasi kedua algoritma. Hasil penelitian menunjukkan bahwa Random Forest memiliki akurasi lebih tinggi dibandingkan Decision Tree. Faktor kesehatan mental, terutama tingkat stres, memiliki pengaruh signifikan terhadap prediksi IPK, disusul oleh pola tidur. Studi ini menegaskan bahwa pemantauan kesehatan mental dan fisik mahasiswa dapat meningkatkan pencapaian akademik. Temuan ini diharapkan dapat membantu institusi pendidikan dalam merancang strategi dukungan akademik berbasis kesehatan mahasiswa.
 
Kata Kunci: Indeks Prestasi Kumulatif (IPK), Machine Learning, Decision Tree, Random Forest, Feature Engineering

Di era serba AI (Artificial Intelligence) seperti saat ini, penggunaan teknologi Optical Character Recognition (OCR) adalah hal yang lumrah. Salah satunya adalah pada Manless Parking System atau sistem parkir otomatis. Pada sistem ini teknologi OCR digunakan untuk mendeteksi plat nomor kendaraan secara otomatis. Namun begitu tidak semua metode memberikan hasil yang optimal. Pada penelitian-penelitian sebelumnya rata-rata tingkat akurasi dari penerapan OCR adalah sebesar 90%. Pada penelitian ini digunakan metode OCR dari Google yaitu Google Vision dan Pattern Regex untuk mendeteksi plat nomor kendaraan pada citra digital. Google Vision dipilih karena kemampuannya yang relatif lebih baik dibandingkan metode OCR lainnya seperti Tesseract dan EasyOCR. Sedangkan Regex Pattern digunakan untuk melakukan filtering terhadap teks hasil ekstraksi OCR yang tidak diperlukan. Penelitian ini diujikan terhadap 150 data sample berformat JPG dan JPEG. Ukuran file bervariasi antara 50 KB – 2 MB. Sudut pengambilan gambar juga dibuat bervariasi. Hasil penelitian menunjukkan bahwa penggunaan metode OCR dengan Google Vision dan Regex Pattern memberikan hasil yang sangat baik dengan tingkat akurasi mencapai 99,50%. Hasil ini lebih baik dibandingkan hasil pada penelitian-penelitian sebelumnya.
Kata Kunci : Plat Nomor Kendaraan, Optical Character Recognition, Google Vision, Regex Pattern