8 research outputs found
Memanfaatkan Mendeley untuk Manajemen Referensi dalam Penelitian
No full textMendeley:
•Sebagai sumber referensi riset,
•Menyusun tulisan sesuai prosedur pengutipan sitasi yang benar,
•Mengelola dokumen referensi,
•Membantu penulis dalam penyusunan daftar pustaka.Memanfaatkan Mendele
Efektivitas Sistem QRIS dalam Meningkatkan Volume Transaksi UMKM Kota Surabaya
Full text linkThis study aims to analyze the effect of using the Quick Response Code Indonesian Standard (QRIS) on increasing the transaction volume of Micro, Small, and Medium Enterprises (MSMEs) in Surabaya City. The research is motivated by the growing need to accelerate the digitalization of payment systems in the MSME sector to improve efficiency, financial inclusion, and business competitiveness. A quantitative approach was employed using an associative research design. Primary data were collected from 120 MSME respondents who had adopted QRIS, using a structured Likert-scale questionnaire. Data were then analyzed using simple linear regression. The findings reveal that the use of QRIS has a positive and significant effect on MSME transaction volume, indicated by a regression coefficient of 0.683 and a coefficient of determination (R²) of 0.570. This implies that 57% of the variation in transaction volume can be explained by QRIS usage. The significance value of 0.000 from both the F-test and t-test confirms the statistical validity of the regression model. These results suggest that QRIS serves as an effective, secure, and inclusive digital payment solution for MSMEs. The study recommends increased education, training, and supporting infrastructure to ensure broader adoption and optimal utilization of QRIS. This research also opens opportunities for future studies with a more comprehensive approach and wider geographic scope
Algoritma Naive Bayes untuk Memprediksi Waktu Pengerjaan Uji Kompetesi Keahlian (UKK) Siswa Sekolah Menengah Kejuruan
Full text linkThis research is motivated by the need for a method or method that helps teachers and schools to predict the speed of time for students UKK work so that schools are more effective in preparing students to face UKK with faster processing time where the current problem is that schools are still using manual prediction methods . The hypothesis of the researchers is that by implementing the Naïve Bayes algorithms to predict the length of time the UKK Student can work, it can produce more perfect predictions so that school management is more efficient in providing solutions for students who are predicted to work slowly on SMK Bhakti Persada Bekasi . UKK is the final assessment in order to determine the achievement of competencies for vocational students. The use of Data Mining with artificial classification and intelligence models that will predict the length of time spent on UKK in terms of student completion time quickly, normally or slowly. The Algorithm method used is Naïve Bayes with the prediction accuracy of 99.11%
Sistem Informasi Penjualan Online Berbasis Web Pada Toko Citra Parfum
Full text linkThis research aims to develop an online sales system (e-commerce) for Citra Parfum store in Tambun Selatan, Bekasi Regency. The store faces challenges in achieving sales targets and low customer numbers due to limited promotion through conventional channels and its hidden location within a residential area. The research utilizes the method of information system development, utilizing Visual Studio Code as a medium for creating the e-commerce website. The developed system includes the display of perfume products along with relevant information, a shopping cart, the checkout process, and online payment. This study proposes the implementation of a web-based e-commerce for Citra Parfum store. With the online sales system, it is expected that the number of sales transactions will increase, the marketing reach will expand, and buyers will be able to transact more easily. The research results are also expected to provide practical benefits to the management of Citra Parfum in improving customer satisfaction through the implementation of the online sales system
Tinjauan Pusataka: Penerapan Teknologi Artifical Intelligence Pada Fitur “Made For You” Aplikasi Spotify
Full text linkPenelitian ini mengeksplorasi penerapan teknologi Artificial Intelligence (AI) dalam fitur "Made For You" di aplikasi Spotify. Dengan menggunakan metode studi literatur, dilakukan analisis terhadap berbagai publikasi ilmiah dan sumber informasi terpercaya untuk memahami secara mendalam tentang pendekatan AI yang digunakan dalam menyusun rekomendasi musik yang disesuaikan dengan preferensi pengguna di Spotify. Hasil analisis menunjukkan bahwa penggunaan AI dalam fitur "Made For You" memanfaatkan berbagai teknik machine learning, algoritma pengelompokan, dan personalisasi untuk meningkatkan pengalaman mendengarkan musik pengguna. Selain itu, dampak penerapan teknologi AI dalam konteks aplikasi musik secara lebih luas, termasuk implikasinya terhadap kepuasan pengguna dan dinamika industri musik digital. Studi ini memberikan wawasan yang mendalam tentang bagaimana teknologi AI telah mengubah cara dalam menikmati dan menemukan musik di era streaming digital, serta potensi perubahan masa depan dalam industri musik
PELATIHAN MEMBANGUN STASIUN RADIO DIGITAL UNTUK SEKOLAH ALAM TUNAS MULIA
Full text linkAbstrak: Pendemi Covid 19 yang terjadi di Indonesia selama lebih setahun membuat masyarakat harus cepat dan ikut dalam kebiasan baru dalam beraktifitas. Aktifitas baru yang biasa disebut New Normal mengharuskan masyarakat mengurangi kegiatan yang membuat kerumunan. Seperti kegiatan belajar mengajar harus menggunakan Program belajar jarak jauh. Kegiatan jual beli dengan menggunakan internet dan kegiatan pemasaran juga menggunakan internet. Kegiatan pelatihan ini adalah melatih cara mengakses radio digital, membuat akun radiodigital di server, menginstal winamp, menginstal Shoutcast dan pelatihan mengoperasikan stasiun radiodigital. hasil dari workshop ini adalah dari 12 peserta pelatihan, hanya dua orang yang tidak dapat menyelesaikan seluruh materi sebanyak lima sub materi. 10 Peserta dapat menyelesaikan seluruh materi. 1 peserta hanya menyelesaikan 4 Sub materi dan 1 peserta hanya dapat meyelesaikan 3 sub materi. Abstract: The Covid 19 epidemic that occurred in Indonesia for more than a year made people have to hurry and take part in new habits in activities. The new activity, which is called the New Normal, requires people to reduce activities that create crowds. Such as teaching and learning activities must use distance learning programs. Buying and selling activities using the internet and marketing activities also use the internet. This Community Service Activity (PKM) is to provide options in the media used in new normal activities. By providing workshops to build digital radio stations, Tunas Mulia Nature School can be helped from facing new normal activities. And also can pass it on to residents of Bantargebang sub-district. The result of this workshop was the skills to build a digital radio station, operate and maintain a digital radio station by seventy percent, because there is the ability to make radio programs, the ability to broadcast radio that must be learned and retrained so that this radio station can run well like a station commercial radio
PEMURNIAN MINYAK ATSIRI AKAR WANGI MENGGUNAKAN DESTILASI TAMBAHAN BAHAN KACA
Full text linkAbstrak: Wangi Persada merupakan kelompok tani akar wangi terletak di daerah Kp. Legok Pulus Ds. Sukakarya Samarang Garut telah menjadi mitra Sekolah Tinggi Teknologi Bandung dalam melakukan kegiatan pengabdian masyarakat. Analsisi masalah yang terjadi di lapangan, yaitu penyulingan minyak atsiri dan kejernihannya, petani masih melakukan penjualan minyak keruh, atau menjaul tumbuhan akar wangi dikebun pada tengkulak dari pada diolah menjadi minyak atsiri, dikarenakan alat penyulingan dan harga minyak keruh yang selama masih belum berpihak pada petani atau dibanderol dengan harga murah. Tim Abdimas bertindak merancang dan menerapkan metode penyulingan secara fisika dengan redestilasi untuk proses pemurnian minyak menggunakan bahan kaca, pembakarannya menggunakan heater dan energi listrik sebagai sumber energinya. Hasil pemurnian yang optimal didapatkan dari kombinasi minyak keruh dan ditambahkan air (aquades). Minyak atsiri yang sudah jernih dapat meningkatkan harga jual dari minyak atsiri yang masih keruh/hitam. Rendemen sisa destilasi dapat dimanfaatkan oleh masyarakat menjadi produk turunannya melaui home industri, sehingga dapat mempengaruhi dan meningkatkan perekonomian petani minyak atsiri akar wangi.Abstract: Wangi Persada is a vetiver farmer group located in the area Kp. Legok Pulus Ds. Sukakarya Samarang Garut has become a partner of the Sekolah Tingi Teknologi Bandung carrying out community service activities. Analysis of the problems that occur in the field, namely the distillation of essential oils and their clarity, farmers are still selling turbid oil, or selling vetiver plants in the garden to pirates instead of being processed into essential oil, due to distillation equipment and the price of turbid oil which has not been on the side of farmers or at a low price. The Abdimas team designed and implemented physical refining methods with redistillation for the process of refining oil using glass, combustion using a heater and electrical energy as the energy source. The optimal purification results are obtained from a combination of turbid oil and water. Essential oils that are clear can increase the selling price of essential oils that are still cloudy/black. The residual yield of distillation can be utilized by the community into derivative products through the home industry, so that it can affect and improve the economy of vetiver essential oil farmers
Prediction of heart disease using random forest algorithm, support vector machine, and neural network
Full text linkThe heart is a vital organ responsible for pumping blood throughout the human body. Machine learning has become an increasingly important tool in medical forecasting, improving diagnostic accuracy and reducing human errors. This study focuses on detecting heart disease using machine learning algorithms. It aims to compare the performance of three key algorithms random forest (RF), support vector machine (SVM), and neural networks (NN), in predicting heart disease. Using a patient dataset with both nominal and numeric attributes, record mining techniques were applied through Orange software. The target classes indicated the absence (0) or presence (1) of heart disorders. The evaluation was based on the prediction accuracy of each algorithm. Results show that SVM achieved the highest accuracy, with a rate of 85%, outperforming RF and NN. The findings suggest that the SVM algorithm is a reliable tool for heart disease prediction, helping reduce diagnostic errors and improve medical decision-making
