Penyakit kulit merupakan masalah kesehatan umum di Indonesia, terutama di Papua, yang mempengaruhi berbagai kelompok usia. Meskipun sebagian besar penyakit kulit tidak mengancam jiwa, mereka dapat berdampak signifikan pada kualitas hidup pasien dan menimbulkan biaya pengobatan yang tinggi. Mendiagnosis penyakit kulit biasanya memerlukan pemeriksaan fisik dan klinis oleh dokter kulit, namun jumlah spesialis yang terbatas menimbulkan tantangan. Penelitian ini bertujuan untuk mengembangkan sistem pengenalan penyakit kulit menggunakan Computer Vision dan Convolutional Neural Networks (CNN) untuk membantu diagnosis dini. Sistem ini dikembangkan sebagai aplikasi web menggunakan HTML, CSS, dan Python. Aplikasi ini diuji di Puskesmas Nimbokrang pada dataset penyakit kulit umum, menunjukkan akurasi sebesar 83,09% pada pelatihan dan 84% pada validasi. Hasil pengujian dengan confusion matrix menunjukkan akurasi sebesar 89%. Hasil ini menunjukkan potensi aplikasi praktis dalam meningkatkan layanan kesehatan.

Aplikasi Gojek, sebagai salah satu aplikasi ride-hailing terkemuka di Indonesia, menghadapi tantangan berkelanjutan dalam mempertahankan dan meningkatkan kualitas layanan serta kepuasan pengguna. Penelitian ini bertujuan mengevaluasi performa aplikasi Gojek melalui analisis sentimen dari 200.000 ulasan pengguna yang dikumpulkan dari platform aplikasi selama periode 2021-2024, menggunakan metode Support Vector Machine (SVM). Fokus penelitian meliputi aspek layanan, keamanan, promosi, dan masalah teknis. Metode SVM dipilih karena kemampuannya dalam menangani klasifikasi dengan dataset kompleks. Data ulasan pengguna, yang ditulis dalam bahasa Indonesia, diolah dengan teknik pemrosesan teks dan fitur ekstraksi FastText, yang dikenal cepat dan akurat. Praproses data melibatkan tokenisasi, penghapusan stopword, dan teknik preprocessing lainnya. Kinerja model diukur dengan akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa FastText menawarkan waktu pelatihan cepat dengan akurasi kompetitif, sementara SVM unggul dalam presisi dan recall. Penerapan SVM dengan pembagian data 80:20 mencapai akurasi 91% dalam mengklasifikasikan sentimen pengguna. Temuan ini memberikan wawasan penting untuk pengembangan dan evaluasi aplikasi berbasis ulasan pengguna.

Bahrain still suffers from electronic solid waste annually due to ineffective waste ?disposal management. Compared to other Gulf Cooperation Council (GCC) countries, Bahrain ?generates the largest waste quantity per person, approximately 1.2 to 1.8 ?million tons of hazardous waste annually. Therefore, the present research article aims to manage the e-waste discarding mitigation by arranging the waste collection, ?presenting it for sale/purchase/donation (C2C, C2B, B2G), and organizing the waste recycling ?process. Derived from this aim, the article explores the e-waste ?phenomena and proposes the development of an e-waste mobile application named “Athar”. ? The significance of “Athar” lies in firstly, enabling citizens to live in a ?clean environment with limited diseases. Secondly, assisting the ?Ministry of Tourism attract more tourists. ? The research article embraces a seven-phased Agile-based SDLC method to analyze, design, implement, test, and evaluate Athar through the utilization of several research techniques, including questionnaires to collect user and system requirements, other techniques such as data flow diagrams, entity relationship diagram, ?database schema, etc. for the system design, ?OutSystems programming language to implement the mobile app, and one questionnaire based on ?Nielsen heuristics for usability evaluation. Findings demonstrate the adequacy of the Athar application with an outstanding usability score of 89.1%.

The purpose of this study was to evaluate the current intonation in Music Education students at UNP, assess the impact of longtone exercises in improving intonation, and assess intonation differences before and after training. This type of research is descriptive qualitative research research. This research instrument is the researcher himself and is assisted by supporting instruments such as stationery and cameras. The data in this study used primary data and secondary data. Data collection techniques are carried out by means of interviews, observations, and document analysis. The steps of analyzing data are data reduction, data model and drawing conclusions. The results showed that longtone training became the most important exercise in the process of forming pitch control (intonation) in playing the Saxophone. Longtone exercises build the strength of the lip muscles (muscle memory) because to get a good intonation, the lip muscles must be formed and have stable strength in order to get a good tone, because the Saxophone is a tool that is very sensitive to pitch changes. Researchers provide an understanding of the urgency and mastery of basic exercises in playing beginner Saxophone. Because before mastering higher techniques, of course, you must master basic techniques first, especially longtones, so that higher technique training does not experience problems because it already has a strong foundation. This research also provides an understanding that it is important for an instrument player to perform the stages in the process of musical instrument practice well and the importance of practicing basic techniques in learning the instrument.

Cultural arts learning is one of the compulsory subjects taught at the Junior High School (SMP) level. Through cultural arts at school, students are able to express themselves and channel their creativity. In learning, student motivation is an important factor in determining student success in achieving understanding. Because motivation will influence a person's desire to do something. This study was conducted to describe student motivation towards learning cultural arts (music) in class VIII C at SMPN 2 Batang Gasan District. In conducting this study, the researchers employed a quantitative approach with a descriptive method. The study focused on grade VIII students of SMPN 1 Batang Gasang, with the sample group being determined using the cluster random sampling technique. The selected sample consisted of students from class VIII C. To gather data, a questionnaire was distributed to the students, which was designed based on indicators of intrinsic and extrinsic learning motivation. The collected data was then analyzed using the average equation and subjected to descriptive analysis. Based on the results of the research obtained, it can be concluded that student motivation towards learning cultural arts (music) in class VIII C at SMPN 2 Batang Gasan District is obtained for internal motivation with an average value of 75.7% in the high category. As for extrinsic motivation, the average value is 65.32% in the high category. Overall, student motivation obtained an average value of 70.51% in the high category. Therefore, student motivation at SMPN 1 Batang Gasan can be categorised as high towards learning cultural arts, especially in music.

The emergence of financial technology (fintech) has brought significant disruption to the conventional banking industry. Fintech offers faster, cheaper and more accessible financial services, which appeal to many customers, especially the younger generation. This study aims to analyse the impact of fintech on the future of conventional banking, with a focus on Bank Mandiri, one of the largest banks in Indonesia. The results show that fintech has a significant impact on various aspects of conventional banking, including: 1) Products and services. Fintech offers innovative and diverse financial products and services that conventional banks cannot access. 2) Distribution channels: Fintechs utilise digital technology to reach customers directly, without the need for physical branches. 3) Business model. Fintech has a more efficient and cost-effective business model compared to conventional banks. 4) Customer engagement. Fintech offers a more personalised and interactive customer experience. Bank Mandiri shows that the bank has taken various strategic steps to face competition with fintech, such as: developing digital services, collaborating with fintech startups, improving operational efficiency. Disputes between fintech consumers and fintech service providers can be resolved through: negotiation, mediation, arbitration, court and legal comparison with default. In addition, we also highlight the need for collaboration between government agencies, industry players, and the tech community to develop a comprehensive and adaptive regulatory framework.

As time goes by and changes in technology also change behavior in society. The impact of technology is not only positive but also negative, one of which is online gambling or slots which is currently popular in society, especially among teenagers. The aim of this PKM in the field of law is one of the KKM programs for students from group 42 of Bulakan Village, Bina Bangsa University as a form of awareness of online gambling which has a negative impact. The method for implementing PKM this time is holding a legal seminar on the dangers of online gambling specifically for teenagers as the target participants considering that there are many online gamblers among teenagers. The results of this PKM conclude that there is a negative impact on online gambling players and online gambling players can be caught in the Law on conventional gambling and the Information and Electronic Technology (ITE) Law.

Toko Lovabel merupakan perusahaan yang bergerak di bidang aksesoris. Jenis penelitian ini adalah penelitian kuantitatif dan analisis yang digunakan adalah analisis deskriptif. Dalam menghadapi permasalahan persaingan bisnis, terdapat beberapa permasalahan yang sering terjadi salah satunya yaitu belum memiliki prosedur dalam menentukan barang yang paling diminati oleh pelanggan. Penentuan yang dilakukan saat ini belum terstruktur dan dapat bervariasi dari waktu ke waktu. Hal ini dapat menjadi tantangan yang signifikan dalam upaya memenangkan persaingan dan membangun pangsa pasar yang kuat. Kinerja dari metode WP mampu melakukan perkalian terbobot pada setiap kriteria setelah di pangkatkan dan hasil keputusan berupa perankingan. Kriteria yang digunakan terdiri dari harga, kualitas produk, jumlah barang yang terjual, diskon barang, lama pengiriman, dan sistem pembayaran. Sehingga pemilihan penentuan barang terhadap pelanggan perlu dilakukan dengan menggunakan metode yang tepat sesuai dengan standar perusahaan yaitu WP (Weight Product) dengan tujuan untuk mengoptimalkan keputusan bisnis serta membantu perusahaan dalam menilai maupun membandingkan barang-barang yang berbeda berdasarkan kriteria yang relevan.

Mencari rekomendasi pemilihan ponsel dengan sistem pendukung keputusan menggunakan metode SAW (Simple Additive Weighting) dengan aplikasi ini, diharapkan pengguna/konsumen mendapatkan peringkat merek ponsel dan skor akhir  untuk alternatif perbandingan ponsel yang berbeda. BAGUS. Hasil penelitian ini memberikan saran pada ponsel yang mempunyai nilai perhitungan Simple Additive Weight (SAW) tertinggi dan perhitungan menggunakan metode SAW yang mempunyai nilai akurasi 100%, berdasarkan perbandingan perhitungan manual dan perhitungan sistem. mendukung keputusan seleksi.