Jurnal Universitas Dharma Andalas
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Analisis Social Media Pada UMKM Ditinjau Dari Perspektif Open Innovation Dan Human Capital
Get PDFThe use of social media and understanding in the field of Information Systems (IS) in the early stages of business activities is a new phenomenon. Social media can provide additional customer and industry data to digitally transform information into knowledge for innovation. Such an amalgamation provides a potentially complementary role in the relationship between human capital and innovation outcomes. Through social media technology, small and medium enterprises (MSMEs) can communicate information and respond to competitors with minimal costs. The ability to share and access information can affect the performance of MSMEs. One important aspect that has emerged recently is open innovation. A previous study has highlighted the importance of human capital for innovation performance. The purpose of this study is to conceptualize the use of social media in an effort to improve the performance of MSMEs from an open innovation-based human capital perspective. The method used is a literature review that is relevant from 2018 to 2022. The results show that the importance of using social media and human capital has a synergistic relationship that has a direct effect on open innovation in improving MSME performance
Implementasi Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Transaksi Penjualan Ekspor Online
Get PDFIn today's online technology, we have to learn various things so that we can adjust to social behavior, for example, buying and selling activities that cover all walks of life, now everyone doesn't hesitate to shop online. The online market is growing fast, especially in Indonesia. Anyone can sell and buy goods easily through online stores, so that people's purchasing power and sales increase due to the proliferation of online stores, XYZ stores are still beginners in terms of sales strategies so they try all efforts without careful preparation, one of the ways to do this is to expand its market coverage even to export goods abroad. the process of exporting goods in the current era is not a difficult thing to do, but it requires knowledge and preparation of a good strategy. from existing sales data can be analyzed to determine the right strategy in marketing goods. Data Mining is a science that helps analyze large amounts of data with the aim of gaining new knowledge that can be utilized. In Data Mining Analysis there is the FP-Growth algorithm which is a data mining technique for finding association rules from lots of data. This is known as the Association rule, where the rule will be determined from the minimum support and confidence results. the rules that are formed produce 10 rules out of 51 existing data, these rules help determine the export sales strategy at the XYZ store
Optimasi Algoritma Random Forest menggunakan Principal Component Analysis untuk Deteksi Malware
Get PDFMalware is a type of software designed to harm various devices. As malware evolves and diversifies, traditional signature-based detection methods have become less effective against advanced types such as polymorphic, metamorphic, and oligomorphic malware. To address this challenge, machine learning-based malware detection has emerged as a promising solution. In this study, we evaluated the performance of several machine learning algorithms in detecting malware and applied Principal Component Analysis (PCA) to the best-performing algorithm to reduce the number of features and improve performance. Our results showed that the Random Forest algorithm outperformed Adaboost, Neural Network, Support Vector Machine, and k-Nearest Neighbor algorithms with an accuracy and recall rate of 98.3%. By applying PCA, we were able to further improve the performance of Random Forest to 98.7% for both accuracy and recall while reducing the number of features from 1084 to 32.Malware is a type of software designed to harm various devices. As malware evolves and diversifies, traditional signature-based detection methods have become less effective against advanced types such as polymorphic, metamorphic, and oligomorphic malware. To address this challenge, machine learning-based malware detection has emerged as a promising solution. In this study, we evaluated the performance of several machine learning algorithms in detecting malware and applied Principal Component Analysis (PCA) to the best-performing algorithm to reduce the number of features and improve performance. Our results showed that the Random Forest algorithm outperformed Adaboost, Neural Network, Support Vector Machine, and k-Nearest Neighbor algorithms with an accuracy and recall rate of 98.3%. By applying PCA, we were able to further improve the performance of Random Forest to 98.7% for both accuracy and recall while reducing the number of features from 1084 to 32
Penerapan Machine Learning Untuk Menentukan Tingkat Kepuasan Tamu Hotel Dymens Menggunakan Metode Vader
Get PDFIn Indonesia there are several social media that provide reviews and experiences related to an inn, including Tripadvisor.com, Traveloka, Tiket.com, and many more. Over time, machine learning can replace and improve human abilities in various fields, Machine Learning has been extensively researched and used to solve various problems. Among them is to find out how the assessment and views of hotel guests regarding the services and policies set. With reviews from customers or hotel guests, we can find out how the quality of the product or service is implemented, so that an evaluation can be carried out to increase customer satisfaction. Sentiment analysis, or opinion evaluation is an active area of study in the field of natural language processing that analyzes opinions, sentiments, evaluations, attitudes, and emotions through improving the processing of subjectivity in texts. Sentiment analysis is useful for a wide variety of issues of interest to human-computer interaction practices and researchers, as well as people from fields such as: sociology, marketing and advertising, psychology, eco-economics, and political science. The process of sentiment analysis is often done to find out positive, neutral or negative opinion from the public regarding a certain matter. The Valence Aware Dictionary and Sentiment Reasoner (VADER) method is a sentiment analysis method that can identify a person's emotions based on words. So that the VADER Method can be used to identify hotel guest reviews and hotel management can make decisions based on the results of these assessments or review
Optimalisasi Sistem Informasi Penjualan Berbasis Android Sebagai Media Promosi produk Cemilan Khas sumatera Barat Di HDD Snack menggunakan metode waterfall
Get PDFPandemic covid 19 has spread all over the world , it made every sector stope, especially economic sector dan touristm sector, in every country in the word, after pandemic ,every country make their own policy to make their country not fall into recession, not even indonesia , the government want everyone can make a solution to make indonesian economy can growe and better before pandemic , one of solution are to develope any ideas with technologi , HDD snack is one of little company who’s affected og pandemic, this company everyday producting a traditional sncak form west sumatera, cause of pandemic thei can produce their product thereatened with bangkrupcy. And now we want make a study to hel this company to promote their product by using the technology , hdd snack not only can promote their product with traditional way ,but they can promote thei product in internet wit make a media promote like a website. It can increase their customer. In the futur
Klasifikasi Penyakit Jantung Menggunakan Algoritma Decision Tree Series C4.5 Dengan Rapidminer
Get PDFHeart disease is still one of the leading causes of death in Indonesia and the world for both men and women of all ages. To reduce the number of deaths from heart disease, it is, therefore, necessary to conduct research to analyze data related to the causes of heart disease. In this study, the decision tree series C4.5 algorithm was used to classify heart disease data. The decision tree series C4.5 algorithm is processed in rapidminer version 9.10 tools. through the stages of Pre-processing, Set roles, modeling the decision tree series C4.5 algorithm on training data, applying the model to data testing, and testing to calculate the accuracy of the model on data testing. Testing using the confusion matrix resulted in an accuracy rate of 80.43% and a classification error of 19.57% was obtained. As well as the results of the Visualization of AUC (Area Under Curve) from the ROC curve, the value of AUC: 0.798 (Positive class): Heart Disease.Penyakit jantung masih menjadi salah satu penyebab utama kematian tertinggi di Indonesia dan dunia baik pria maupun wanita pada segala usia. Untuk menekan jumlah kematian akibat penyakit jantung, maka dari itu perlunya dilakukan penelitian untuk menganalisa data terkait dengan penyebab penyakit jantung terjadi. Pada penelitian ini digunakan algoritma decision tree series C4.5 dalam melakukan proses klasifikasi data penyakit jantung. Algoritma decision tree series C4.5 ini diproses pada tools rapidminer version 9.10. melalui tahapan Pre-processing, Set role, pemodelan algoritma decision tree series C4.5 terhadap data training, apply model terhadap data testing, dan pengujian untuk menghitung keakuratan model terhadap data testing. Pengujian menggunakan confusion matrix menghasilkan tingkat Accuracy sebesar 80,43% dan didapatkan error classification sebesar 19,57%. Serta diperoleh hasil Visualisasi AUC (Area Under Curve) dari kurva ROC diperoleh nilai AUC:0,798 (Positive class): Penyakit Jantung
AKULTURASI “TRADISI MANDOA SETELAH KEMATIAN” PADA MASYARAKAT JORONG NAN IX NAGARI SALIMPAUNG
Get PDFThe purpose of this study was to find out the views of the people of Jorong Nan IX Nagari Salimpaung regarding the tradition of Praying After Death. This research method uses a qualitative descriptive approach. The research results show that praying after death is a tradition that is preserved by the community to uphold cultural values and as proof that the family or heirs still remember the services of those who have died. But on the other hand, in the teachings of Islam there is no guidance from the Prophet Muhammad except for recommendations to carry out pilgrimages to cemeteries as a reminder of someone's death. As an understanding, prayer is an attempt to devote oneself to God by recognizing all forms of weakness, as well as hope and generosity and asking Him, as a form of obedience to Allah SWTTujuan penelitian ini untuk mengetahui Pandangan Masyarakat Jorong Nan IX Nagari Salimpaung tentang tradisi Mendoa Setelah Kematian. Metode penelitian ini menggunakan pendekatan deskriptif kualitatif. Hasil Penelitian Menunjukan bahwa mando’a setelah kematian adalah Tradisi yang di lestarikan oleh masyarakat untuk menjunjung tinggi nilai-nilai budaya dan sebagai bukti bahwa keluarga atau ahli waris masih mengingat jasa orang yang telah meninggal. Namun disisi lain dalam ajaran Agama Islam tidak tuntunan dari Nabi Muhammad SAW kecuali anjuran untuk melaksnakan ziarah ke kuburan sebagai penginggat kematian bagi seseorang. Sebagai pemahaman doa merupakan usaha untuk mengabdikan diri kepada Tuhan dengan mengenali segala bentuk kelemahan, serta harapan dan kemurahan hati dan memohon kepadanya, sebagai bentuk ketaatan kepada Allah SW
Determinan Indikasi Tax Avoidance Perusahaan Multinasional
Get PDFABSTRACT
The existence of loopholes in tax laws and regulations is used by companies to do tax avoidance, which is an act of minimizing taxes without violating applicable regulations. Multinational companies have a greater opportunity to avoid tax by taking advantage of the different regulations of each country. This study aims to determine the effect of transfer pricing, thin capitalization, and assets mix on tax avoidance. This research is based on 2 (two) theories, namely agency theory and planned behavior theory. The object and population of this research are all manufacturing companies listed on the Indonesia Stock Exchange in 2015-2019. Non-probability sampling technique is the technique used for sampling with the purposive sampling method. There were 26 companies so that for 5 years of observation, 130 samples were obtained. The analysis technique used is the quantitative method, consisting of descriptive statistical tests, multiple regression analysis, and hypothesis test. The results of the study conclude that the variables of transfer pricing and inventory intensity have no effect on tax avoidance, while the variables of thin capitalization and capital intensity have a positive effect on tax avoidance.
ABSTRAK
Adanya celah dalam peraturan perundang-undangan perpajakan dimanfaatkan oleh perusahaan untuk melakukan penghindaran pajak, yaitu tindakan meminimalisir pajak tanpa melanggar peraturan yang berlaku. Perusahaan multinasional berpeluang lebih besar untuk melakukan penghindaran pajak dengan memanfaatkan perbedaan peraturan setiap negara. Penelitian ini dilakukan bertujuan untuk mengetahui pengaruh transfer pricing, thin capitalization, dan assets mix terhadap penghindaran pajak. Penelitian ini didasari 2 (dua) teori, yaitu teori keagenan dan teori perilaku terencana. Objek dan populasi penelitian ini adalah seluruh perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia pada tahun 2015-2019. Pengambilan sampel dengan teknik non-probability sampling dengan metode purposive sampling. Diperoleh 26 perusahaan sehingga untuk 5 tahun pengamatan didapatkan 130 sampel. Analisis data menggunakan metode kuantitatif, terdiri dari uji statistik deskriptif, analisis regresi berganda, dan uji hipotesis. Hasil penelitian menyimpulkan variabel transfer pricing dan inventory intensity tidak berpengaruh terhadap penghindaran pajak, sedangkan variabel thin capitalization dan capital intensity berpengaruh positif terhadap penghindaran pajak.
 
Mengukur Prilaku Pinjaman Online Melalui Literasi Keuangan Digital, Preferensi Risiko dan Faktor Demografi Sebagai Variabel Moderasi
Get PDFThis study aims to measure the financial behavior of online loans through digital financial literacy variables, risk preferences and demographic factors. This research also looks at the positive interaction of digital financial literacy with financial behavior and risk preference with financial behavior and demographic factors as a moderation. The number of samples was selected using the convenience sampling method. The analytical method uses Structural Equation Modeling Partial Least Square (SEM PLS) analysis. The results of this study conclude that digital financial literacy and demographic factors have a significant effect on online loan financial behavior. Digital financial literacy has a significant effect on online loan financial behavior but demographic factors do not affect risk preference. Likewise, risk preference has no effect on online loan financial behavior. Demographic factors moderate digital financial literacy and financial behavior but demographic factors do not moderate risk preferences for online loan financial behavior.
ABSTRAK
Penelitian ini bertujuan untuk mengukur prilaku keuangan pinjaman online melalui variabel variabel literasi keuangan digital, preferensi risiko dan faktor demografi. Penelitian ini juga melihat interaksi positif dari literasi keuangan digital dengan prilaku keuangan dan preferensi risiko dengan prilaku keuangan dengan faktor demografi sebagai moderasinya. Jumlah sampel dipilih dengan menggunakan metode convenience sampling. Metode analisis menggunakan analisis Structural Equation Modelling Partial Least Square (SEM PLS). Hasil penelitian ini menyimpulkan bahwa literasi keuangan digital dan faktor demografi berpengaruh signifikan terhadap prilaku keuangan pinjaman online. Literasi keuangan digital berpengaruh signifikan terhadap prilaku keuangan pinjaman online tetapi faktor demografi tidak berpengaruh terhadap preferensi risiko. Demikian juga preferensi risiko tidak berpengaruh terhadap prilaku keuangan pinjaman online. Faktor demografi memoderasi literasi keuangan digital dan perilaku keuangan namun faktor demografi tidak memoderasi preferensi risiko terhadap prilaku keuangan pinjaman online
Kesiapan Mahasiswa Universitas Dharma Andalas dalam Pembelajaran Daring di Masa New Normal
Get PDFHigher education institutions, as advanced learning providers, require all students to keep up with technological developments and apply them in online learning. There are many challenges faced by both lecturers and students, ranging from supporting electronic devices, signal strength, data quotas, to students' skills in utilizing technology for learning. Initially, they were not prepared, but now they must be ready for online learning. A random sample of 200 respondents from the undergraduate Management program at Dharma Andalas University provided results showing that the Attitude Towards The Behaviour variable has the strongest influence on the Intention variable, followed by Subjective Norms, and then Perceived Behavioral Controls. So far, students' readiness for online learning is quite good, and they even hope that the campus continues online learning, but with the inclusion of face-to-face learning.
ABSTRAK
Perguruan tinggi sebagai pembelajaran lanjutan mewajibkan seluruh mahasiswa untuk mengikuti perkembangan teknologi dan menerapkannya dalam pembelajaran daring ini. Banyak kendala yang dihadapi oleh dosen dan mahasiswa mulai dari perangkat elektronik yang mendukung, sinyal, kuota dan keterampilan mahasiswa dalam menggunakan teknologi untuk pembelajaran. Pada awalnya mereka tidak siap namun hingga sekarang mereka harus siap untuk pembelajaran daring. Sampel yang dipilih secara acak sejumlah 200 responden mahasiswa program studi S1 Manajemen Universitas Dharma Andalas yang memberikan hasil bahwa variabel Attitude Towards The Behaviour mempengaruhi variabel Intention paling kuat, selanjutnya Subjective Norms dan selanjutnya Perceived Behavioural Controls. Sejauh ini kesiapan mahasiswa untuk melakukan pembelajaran daring adalah cukup baik dan bahkan mereka berharap kampus tetap melakukan pembelajaran daring, namun tetap ada pembelajaran tatap muka.