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:Abstract This research aims to determine the effect of company size, audit tenure, audit fees, company size and financial performance on audit quality. The method used is associative with a quantitative approach. The type…
ype of data used is secondary data in the form of annual financial reports published on the Indonesia Stock Exchange (BEI) for the period 2018 - 2022. Samples were collected using the purposive sampling method. The amount of data observed was 92 companies, resulting in 46 companies or 230 observation data. Data were processed using the Eviews 10 Statistical Program to test hypotheses using logistic regression analysis. The results reveal that KAP size, audit tenure, audit fee, company size, and financial performance simultaneously influence audit quality, then the results of the t statistical test show that audit fees and company size have a positive effect on audit quality, but KAP size, audit tenure and financial performance have no effect on audit quality.
Abstract:This study investigates how audit fees impact audit quality. The purpose of this study is to determine the relationship between the effect of audit fees on audit quality in companies listed on the Indonesia Stock Exchange…
e which are categorized as LQ45. This study was conducted using the verification method. Researchers involved 225 LQ45 companies listed on the Indonesia Stock Exchange from 2016 to 2020. The data used comes from secondary data collected through the documentation method. In analyzing the data, this study uses panel data regression statistical testing with a random effect model. The findings of this study are that audit fees are positive to audit quality based on the calculation of panel data regression analysis conducted through the Eviews 9 program.
Abstract:Abstract: The development of information technology has brought significant transformation in the field of education, particularly in academic decision-making. This study aims to develop a Decision Support System (DSS) based…
ased on the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation) to assist prospective students in objectively and systematically selecting the best university in Asahan Regency. The main issue addressed is the lack of integrated information regarding the strengths of each educational institution, as well as the absence of a recommendation system that considers various important criteria such as accreditation, facilities, tuition fees, achievements, and study programs. This research uses a quantitative approach with data collection techniques including observation, interviews, questionnaires, and documentation. The implementation results of the PROMETHEE method show that Royal University achieved the highest ranking, followed by Asahan University and STIKES As Syifa Kisaran. This method has proven effective in producing rational and transparent campus rankings based on multi-criteria preferences. The findings are expected to serve as a reference for prospective students and educational institutions in improving the quality and competitiveness of higher education in the Asahan region.
Keywords: decision support system promethea; campus selection; multi-criteria; asahan.
Abstrak: Perkembangan teknologi informasi telah membawa transformasi signifikan dalam dunia pendidikan, khususnya dalam pengambilan keputusan akademik. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan (SPK) berbasis metode PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) guna membantu calon mahasiswa dalam memilih kampus terbaik di Kabupaten Asahan secara objektif dan terstruktur. Permasalahan yang diangkat adalah kurangnya informasi terintegrasi mengenai keunggulan masing-masing institusi pendidikan serta belum tersedianya sistem rekomendasi yang mempertimbangkan berbagai kriteria penting seperti akreditasi, fasilitas, biaya pendidikan, prestasi, dan program studi. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data melalui observasi, wawancara, kuesioner, dan dokumentasi. Hasil implementasi metode PROMETHEE menunjukkan bahwa Universitas Royal memperoleh peringkat tertinggi diikuti oleh Universitas Asahan dan STIKES As Syifa Kisaran. Metode ini terbukti mampu menghasilkan peringkat kampus secara rasional dan transparan berdasarkan preferensi multikriteria. Temuan ini diharapkan dapat menjadi acuan bagi calon mahasiswa dan pihak institusi dalam meningkatkan kualitas dan daya saing perguruan tinggi di wilayah Asahan.
Kata kunci: sistem pendukung keputusa; promethee; pemilihan kampus; multi kriteria; asahan
Abstract:Abstract: Amazing attractions are still less widely known to the public, both from the surrounding area and from outside the area, when it has a good tourism potential if it can be promoted properly. Promotions do not necessarily…
cessarily use costly and difficult fees. Promotion can be completed with social media by applying the right technique. People are still a lot less aware and less understand how to optimize social media into promotional media. The purpose of this devotion is to improve the understanding and knowledge of the community, especially in Desa Pematang Serai in optimizing the use of social media as a promotional technique Geol tourism object in the village of Lemongrass. The use of social media can introduce Geol tourism objects that have Dipematang Serai to be known by both domestic and local tourists. Social media is the most appropriate promotional technique in the popularization of Geol tourism objects. With social media promotion to be safe and efficient. The tools used also use a Smartphone and the Internet. Promotion through social media can increase the number of tourists visiting Geol tourist attraction in Pematangserai. The goal of the PKM is to its young teenagers to BUMDES Mozaik who manages the Geol tourism object. Results obtained from PKM activities of the lemongrass Pemtang community experienced an increase in optimizing social media into promotional media.
Keywords: social media; promotions; Geol attractions.
Abstrak: Objek wisata Geol masih kurang dikenal masyarakat secara luas, baik dari daerah sekitar maupun dari luar daerah, padahal memiliki potensi pariwisata yang bagus jika dapat dipromosikan secara baik. Promosi tidak mesti menggunakan biaya yang mahal dan sulit. Promosi dapat dilakuakn dengan media sosial dengan menerapkan Teknik yang tepat. Masyarakat masih banyak yang kurang menyadari dan kurang memahami bagaimana mengoptimalkan media sosial menjadi media promosi. Tujuan yang ingin dicapai dari pengabdian ini adalah meningkatkan pemahaman dan pengetahuan masyarakat khususnya di Desa Pematang Serai dalam mengoptimalkan penggunaan Media sosial sebagai Teknik promosi Objek Wisata Geol yang ada di Desa pematang Serai. Penggunaan media sosial dapat memperkenalkan objek wisata Geol yang ada Dipematang Serai agar dikenal oleh wisatawan domestik maupun lokal. Media Sosial adalah Teknik promosi yang paling tepat dalam mempopulerkan objek pariwisata Geol. Dengan Media Sosial promosi menjadi hemat dan efisien. Alat yang digunakan juga menggunakan Smatrphone dan internet. Promosi yang dilakukan melalui media sosial dapat meningkatkan jumlah wisatawan yang berkunjung ke Objek wisata Geol yang ada di Pematang Serai. Sasaran dari PKM ini adalah kepada para remaja khussunya kepada BUMDES Mozaik yang mengelola objek Pariwisata Geol. Hasil yang diperoleh dari kegiatan PKM ini masyarakat pemtang serai mengalami peningkatan dalam mengoptimalakan media sosial menjadi media promosi.
Kata Kunci : media sosial; promosi; objek wisata Geol.
Abstract:Abstract: Choosing the right elementary school is a crucial milestone for a child's future. However, the large number of school options in Asahan Regency with diverse criteria such as accreditation, facilities, fees, curriculum,…
riculum, and accessibility often makes it difficult for parents. Decision-making tends to be based on subjective word-of-mouth recommendations, which risks triggering bias. This research aims to develop an adaptive and objective web-based elementary school selection Decision Support System (DSS) framework to minimize such bias. The system is designed using a hybrid model that combines the Simple Multi-Attribute Rating Technique (SMART) method as a dynamic criteria weighting engine based on parents' preferences, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank ten alternative schools. System testing was conducted through black-box testing functionality and empirical accuracy testing using Spearman Rank Correlation involving 40 respondents. The black-box testing results confirmed that all main system operations ran perfectly with a 100% success rate. Validity testing demonstrated very high accuracy, with a Spearman correlation coefficient of 0.89, demonstrating significant alignment between the system's recommendations and actual choices on the ground. Thus, the SMART-TOPSIS framework has proven reliable as a data-driven approach to helping parents choose the best elementary school.
Keywords: decision support system; elementary school; SMART; TOPSIS
Abstrak: Memilih sekolah dasar yang tepat merupakan tonggak awal krusial bagi masa depan anak. Namun, banyaknya pilihan sekolah di Kabupaten Asahan dengan keberagaman kriteria seperti akreditasi, fasilitas, biaya, kurikulum, dan aksesibilitas sering kali menyulitkan orang tua. Pengambilan keputusan pun cenderung didasarkan pada rekomendasi subjektif dari mulut ke mulut, yang berisiko memicu bias. Penelitian ini bertujuan mengembangkan kerangka kerja Sistem Pendukung Keputusan (SPK) pemilihan sekolah dasar berbasis web yang adaptif dan objektif guna meminimalkan bias tersebut. Sistem dirancang menggunakan model hibrida yang mengombinasikan metode *Simple Multi-Attribute Rating Technique* (SMART) sebagai mesin pembobotan kriteria dinamis sesuai preferensi orang tua, serta metode *Technique for Order of Preference by Similarity to Ideal Solution* (TOPSIS) untuk memeringkat sepuluh sekolah alternatif. Pengujian sistem dilakukan melalui uji fungsionalitas *black-box testing* dan uji akurasi empiris menggunakan Korelasi Peringkat Spearman dengan melibatkan 40 responden. Hasil *black-box testing* mengonfirmasi seluruh operasi utama sistem berjalan sempurna dengan tingkat keberhasilan 100%. Uji validitas menunjukkan akurasi sangat tinggi dengan koefisien korelasi Spearman sebesar 0,89, membuktikan keselarasan signifikan antara rekomendasi sistem dan pilihan nyata di lapangan. Dengan demikian, kerangka SMART-TOPSIS ini terbukti andal sebagai pendekatan berbasis data untuk membantu orang tua memilih sekolah dasar terbaik.
Kata kunci: sekolah dasar; sistem pendukung keputusan; SMART; TOPSIS
Abstract:• Abstract: The skin is an elastic wrapping that protects the body from environmental influences, the skin is the organ that is located on the outside and limits it from the human environment. Skin diseases can be caused…
ed by fungi, viruses, germs, animal parasites, bacterial infections and others. To identify skin diseases, we usually have to see a doctor, but we still experience problems in dealing with disease identification. This is sometimes influenced by the community, sometimes they feel embarrassed to consult their skin disease to a doctor because the signs of skin disease have started to appear, consultation fees and drugs are relatively expensive. Current technological developments are able to process knowledge with artificial intelligence techniques. Due to the many symptoms of disease nowadays, it is necessary to make a system application with artificial intelligence that can diagnose skin diseases and provide solutions for skin diseases using one of the methods, namely the Naïve Bayes Classifier. Naïve Bayes is a simple classification algorithm where each attribute is independent and may contribute to the final decision. The goal is to produce an expert system website that helps the general public in diagnosing skin diseases and providing solutions for detected skin diseases. The results of this study concluded that based on the application of skin cancer diagnosis can display the results of skin cancer diagnosis decisions.
Keywords: expert system; naïve bayes; skin disease
Abstrak: Kulit merupakan pembungkus yang elastis yang melindungi tubuh dari pengaruh lingkungan, kulit merupakan organ tubuh yang terletak paling luar dan membatasinya dari lingkungan hidup manusia. Penyakit kulit dapat disebabkan oleh jamur, virus, kuman, parasit hewani, infeksi bakteri dan lain-lain. Mengidentifikasi penyakit kulit biasanya kita harus ke dokter, namun masih mengalami kendala dalam menangani pengidentifikasi penyakit hal itu terkadang dipengarui oleh masyarakat terkadang merasa malu untuk mengkonsultasikan penyakit kulitnya ke dokter karena tanda-tanda penyakit kulit sudah mulai tampak, biaya konsultasi dan obat yang tergolong mahal. Perkembangan teknologi saat ini mampu mengolah pengetahuan dengan teknik kecerdasan buatan. Karena banyaknya gejala penyakit pada masa sekarang ini perlu dibuat aplikasi sistem dengan kecerdasan buatan yang dapat mendiagnosa penyakit kulit dan memberikan solusi dari penyakit kulit dengan salah satu metode yaitu Naïve Bayes Classifier. Naïve bayes merupakan algoritma klasifikasi yang sederhana dimana setiap atribut bersifat berdiri sendiri dan memungkinkan berkontribusi terhadap keputusan akhir. Tujuannya adalah menghasilkan website sistem pakar yang dan membantu masyarakat luas dalam mendiagnosa penyakit kulit dan memberikan solusi dari penyakit kulit yang terdeteksi. Hasil dari penelitian ini menyimpulkan bahwa berdasarkan aplikasi diagnosa penyakit kanker kulit dapat menampilkan hasil keputusan diagnosa penyakit kanker kulit.
Kata kunci: Naïve Bayes; Penyakit Kulit; sistem pakar
Abstract:Abstract: English course institutions are one of the most sought after non-formal education places to learn and improve English language skills, especially to be able to master the TOEFL well. To choose a suitable course…
institution, that is by visiting the respective course places. Of course, things like this take a lot of time, effort, and money. For this reason, a decision support system is needed that can provide recommendations for the best course institutions using the TOPSIS method. The data used are 18 alternatives with criteria including course fees, number of facilities, length of study hours, instructor's TOEFL, and distance from the course. The calculation results provide a recommendation that the alternative A Class IBT is the best English course institution.
Keywords: English Course; Decision Support System; TOPSIS
Abstrak:. Lembaga kursus bahasa inggris merupakan salah satu tempat pendidikan nonformal yang saat ini banyak dicari untuk mempelajari dan meningkatkan kemampuan bahasa inggris khususnya untuk dapat menguasai TOEFL dengan baik. Untuk memilih lembaga kursus yang cocok yaitu dengan mendatangi ke tempat kursus masing-masing. Tentunya hal seperti ini banyak waktu, tenaga, dan biaya yang diperlukan. Untuk itu diperlukan suatu sistem pendukung keputusan yang dapat memberikan rekomendasi lembaga kursus yang terbaik menggunakan metode TOPSIS. Data yang digunakan adalah 18 alternatif dengan kriteria antara lain uang kursus, jumlah fasilitas, lama jam belajar, TOEFL instruktur, dan jarak tempat kursus. Hasil perhitungan memberikan rekomendasi bahwa alternatif A Class IBT merupakan lembaga kursus bahasa Inggris yang terbaik.
Kata kunci: Kursus Bahasa Inggris; Sistem Pendukung Keputusan; TOPSIS
Abstract:Latar Belakang: Pertumbuhan coffeeshop yang pesat di kota-kota pelajar Indonesia mendorong peningkatan konsumsi minuman berkafein di kalangan mahasiswa. Kafein diketahui dapat merangsang sekresi asam lambung dan melemahkan…
an sfingter esofagus bawah sehingga berpotensi menimbulkan gangguan gastrointestinal. Tujuan: Menganalisis hubungan antara pola konsumsi minuman berkafein dengan kejadian gangguan gastrointestinal pada mahasiswa di Kota Jember. Metode: Penelitian cross-sectional dengan 150 mahasiswa di Kota Jember yang dipilih melalui purposive sampling. Data dikumpulkan menggunakan kuesioner Likert yang telah diuji validitas dan reliabilitasnya. Analisis data meliputi uji korelasi Spearman dan regresi logistik biner. Hasil: Mayoritas responden memiliki pola konsumsi kafein kategori sedang (89,3%) dan mengalami gangguan gastrointestinal kategori sedang (62,7%). Terdapat hubungan positif signifikan antara pola konsumsi kafein dengan kejadian gangguan gastrointestinal (r = 0,434; p < 0,001). Analisis multivariat menunjukkan pola konsumsi kafein (OR = 1,139; 95% CI: 1,063–1,220) dan riwayat penyakit lambung (OR = 9,354; 95% CI: 2,821–31,022) sebagai prediktor independen yang signifikan. Simpulan: Pola konsumsi minuman berkafein berhubungan secara positif dan signifikan dengan kejadian gangguan gastrointestinal pada mahasiswa di Kota Jember. Mahasiswa dengan riwayat penyakit lambung memiliki risiko hampir sembilan kali lebih besar mengalami gangguan gastrointestinal sedang-berat.
Abstract:This study aims to analyze the tourism potential and marketing strategies in Bejijong Village, a village with a rich history and culture from the Majapahit Kingdom era located in Mojokerto Regency, East Java Province. This…
is study explores how village managers conduct managerial and marketing activities to attract tourists and promote local products. The research method involves a SWOT analysis to evaluate the strengths, weaknesses, opportunities, and threats in the Marketing Mix’s 7P approach implemented by the village. The results of the study indicate that Bejijong Village has several significant advantages, including historical heritage such as Brahu Temple, Petilasan Siti Inggil, and Maha Vihara Majapahit, as well as local products such as smoked salted eggs, lemon juice, pukis lumer (melting) bertoping, tahu lontong (compress rice), and Cempaka batik handicrafts and wayang kulit. However, the challenges faced include less than optimal website management, lack of effective digital marketing strategies, and entrance fees that may be insufficient to support maintenance. This study introduces novelty in marketing strategy analysis by integrating the SWOT and Marketing Mix’s 7P approaches to provide in-depth insights into how management and marketing can be improved. These findings are expected to be a reference for other villages in designing more effective marketing strategies and suggesting improvement steps that can increase the attractiveness and sustainability of culture-based tourist destinations. Keywords: Bejijong Village, Tourism Marketing, SWOT Analysis, Marketing Mix 7P.