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yogi prasetyo
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INDONESIA
Indonesian Journal of Digital Business
Published by Universitas Pendidikan Indonesia
ISSN : 27980014     EISSN : 27982432     DOI : -
Core Subject : Economy, Science, Engineering,
Computer Science & IT Economics, Econometrics & Finance Engineering
Marketing Management Human Resource Management Financial Management Strategic Management Accounting Entrepreneurship Software engineering Data Mining Iot Multimedia and Game Database Technologies and Applications AI/ML Data Science Information technology
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Sistem Informasi Menejemen
Articles 38 Documents
 1   2   3   4 
The Influence of Turbo Marketing and Brand Image on Mixue Ice Cream Purchase Decision In Tasikmalaya Fauziyah Darwis, Rattu Syahada; Hermawan, Adam; Purwaamijaya, Btari Mariska
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.59603

Abstract

In the current era of economic recession, Indonesia has even experienced an increase in the economy, quoted to Katadata, one of the main sectors that have become the largest contribution to increasing the economy in Indonesia is the Food and Beverage (FnB) business sector and one of the rapidly growing FnB business sectors is Mixue, which is a Chinese ice cream maker franchise that has entered Indonesia since 2020, Mixue is the largest franchise store in Southeast Asia, However, Mixue has recently been discussed on various social media because it does not yet have halal labeling on its products, but Mixue is quick to respond to the phenomenon that occurs by providing clarification in various media it has, and making digital marketing to maintain the company's brand image to remain good among the public. This study used descriptive quantitative methods, with a total of 110 respondents, the sampling technique used, namely the NonProbability sampling approach with purposive sampling, hypothesis testing was carried out by using SPSS 25 software, As for the hypothetical results of this study, there is a positive and significant influence between turbo marketing variables and purchase decisions, there is a positive and significant influence between brand image variables and purchase decisions, and there is a simultaneous influence between turbo marketing variables and brand image on purchase decisions.
The Impact of Informativeness of Live Streaming in TikTok Live Shop Based on SOR Framework Andrian Wijaya; Btari Mariska Purwaamijaya; Rangga Gelar Guntara
Indonesian Journal of Digital Business Vol 4, No 1 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i1.59456

Abstract

This research can be used as information related to digital marketing and provide awareness that the importance of informativeness can be crucial in increasing consumer purchase intentions through live streaming promotions on TikTok. Data analysis was performed by adopting Structural Equation Modelling (SEM) and testing the conceptual model using the Smart-PLS (v. 3.2.9) application. This method is suitable for analysing complex models with small sample sizes, such as exploring moderator and mediator effects in business and marketing. Stimulus (informativeness) has a strong role in influencing the formation of consumer attitudes towards influencers. Consumer attitudes towards influencers are said to support purchase intention. The influence is said to be sufficient to influence someone’s purchase intention. However, the stimulus (informativeness) does not have an influence on purchase intention if mediated by consumer attitudes towards influencers. The suggestion from this study is the need for research with focused subjects such as the content category to be studied, such as food, electronics, fashion, and others. Then respondents whose area is reduced, such as a regional part (province, city, district). It would also be interesting to research platforms other than TikTok Live Shop, such as YouTube Live Streaming, Twitch live streaming platform, and other platforms.
The Effect of Digital Campaign on Purchase Decisions through Consumer Purchase Intention for GrabFood Application Aulia Marhamah; Btari Mariska Purwaamijaya; Rusani Jaelani
Indonesian Journal of Digital Business Vol 4, No 1 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i1.59250

Abstract

The post-pandemic economic recovery is inseparable from the influence of digitalization, the phenomenon of digitalization has an impact on the behavior of consumers who want something quickly, efficiently and flexibly. This also has an impact on consumer behavior patterns in consuming food where people use food delivery services through applications. The fact is that Indonesian people use the delivery service at least once a week. Indonesia is also the largest market share for food delivery services in Southeast Asia. Food delivery service providers in Indonesia are GoFood, GrabFood and ShopeeFood. GrabFood dominates the competition for food delivery services in Southeast Asia but not in Indonesia. This can be a threat to GrabFood because it cannot control the highest market share in Southeast Asia. consumer buying interest. This study used a quantitative method with nonprobability sampling and sample selection was taken with special criteria as many as 90 respondents who were users of the GrabFood application. Data collection used an online questionnaire which was distributed via the Google form link to the respondents. The analytical method used is path analysis to see the mediating effect of buying interest variables with the help of the IBM SPSS 25 program. positive effect on purchasing decisions. Then buying interest is proven to be able to mediate the influence of digital campaigns on purchasing decisions.
The Effect Of Social Media Marketing Instagram and Price On Purchasing Decisions @Rumahbatik.Palbatu Aldrich Atha Rheza Hariyanto; Btari Mariska Purwaamijaya; Adam Hermawan
Indonesian Journal of Digital Business Vol 4, No 1 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i1.59423

Abstract

This study examined the influence of marketing through Instagram social media and price on consumer purchasing decisions at Rumah Batik Palbatu. In the context of the local batik business in Indonesia, especially facing price competition with Chinese batik imports, Rumah Batik Palbatu faces the challenge of significant sales fluctuations. Therefore, this study aims to provide in-depth insight into how marketing through Instagram social media and product prices can influence consumer purchasing decisions. This study uses a descriptive method with a quantitative approach. The data sampling technique used is probability sampling with a simple random sampling technique, and the data obtained are processed using multiple linear regression analysis techniques. The results of this study include: (1) SPSS analysis shows that social media marketing has no significant effect on purchasing decisions at Rumah Batik Palbatu, with a partial test value of 0.400 and a significance probability of 0.690, rejecting H1 and accepting H0; (2) Price has a positive and significant influence on purchasing decisions at Rumah Batik Palbatu based on the results of the analysis using SPSS 27, with a t-value of 4.029 and a significance probability of 0.00, which indicates that the alternative hypothesis (H2) is accepted, and the null hypothesis (H0) is rejected; (H3) Social media marketing and price simultaneously have a positive and significant influence on purchasing decisions at Rumah Batik Palbatu MSMEs, which is supported by the results of the F test with a simultaneous test value of 31.276 and a significance probability of 0.001.
Sentiment Analysis For User Review Classification On Jenius Application Using Naive Bayes Algorithm Based On Particle Swarm Optimization Fitriani, Vivi Indah; Herdiana, Oding; Guntara, Rangga Gelar
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.59529

Abstract

 The rapid development of information technology and communication has facilitated various aspects of life, including the banking sector. Jenius is one of the digital banking applications that has been downloaded by five million users and continues to grow. With the increasing number of users, there is a growing number of opinions written about their experiences using the application, making it difficult to identify reviews through manual monitoring without textual data processing. This study aims to classify user reviews of the Jenius application on Google Playstore using the Naive Bayes algorithm and Particle Swarm Optimization feature selection. The data used consists of 3047 user reviews of the Jenius application collected from January 16, 2022 to April 13, 2023 and will be divided into two classes, namely positive and negative sentiment. This study also compares the Naive Bayes algorithm using PSO feature selection and without using PSO feature selection. The test results of the two methods indicate that the PSO feature selection with 800 iterations proves to be effective in optimizing the performance of the Naive Bayes algorithm model with an accuracy of 98.50%, precision of 97.81%, recall of 99.36%, and F1-score of 98.58%. Meanwhile, the performance level of the Naive Bayes algorithm without using PSO feature selection is lower with an accuracy of 96.68%, precision of 94.83%, recall of 99.04%, and F1-score of 96.88%.
WORK-FAMILY BALANCE AND REMOTE WORKING AMONG WOMEN IN NIGERIA DURING COVID-19 PANDEMIC Ugo Chuks Okolie; Emuobosa Hannah IVWIGHREN
Indonesian Journal of Digital Business Vol 3, No 2 (2023): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v3i2.59949

Abstract

Organisations face the challenge of establishing ways to mitigate the negative effects of work during coronavirus or Covid-19 pandemic. As a result work-family balance was disrupted and negatively affected the employees’ well-being especially working women. Against this backdrop, this study examined work-family balance of women working from home during covid-19 pandemic. Cross sectional research design was employed and data were collected via a survey of 126 from medical, education, banking, and finance and service sectors in Nigeria. The 126 women were selected using simple random sampling technique and data collected was analysed using simple percentage. The study revealed that women were satisfied by working remotely during the Covid-19 pandemic. The study recommends among others that organisations and government should develop and implement work-family balance policies that would promote the increasing use of remote working arrangement with special reference to working women.
Implementasi Metode Klasifikasi C4.5 Penyebab Faktor Resiko Penyakit Stroke Rizqi, Rizqi Alfiyan
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.69221

Abstract

Stroke merupakan masalah kesehatan utama bagi masyarakat modern. Pada saat ini, stroke semakin menjadi masalah serius yang dihadapi hampir diseluruh dunia. Hal tersebut dikarenakan serangan stroke yang mendadak dapat mengakibatkan kematian, kecacatan fisik dan mental baik pada usia produktif maupun usia lanjut. Penyakit Stroke merupakan jenis penyakit yang mematikan dimana masuk kedalam 10 jenis penyakit yang paling mematikan. Untuk membantu mempercepat hasil diagnosa penderita stroke, maka dibutuhkan suatu algoritma klasifikasi yang dapat mengklasifikasikan suatu data yang banyak dalam waktu yang singkat. Di antara banyaknya algoritma klasifikasi, algoritma Decision Tree C4.5 dinilai cocok untuk digunakan dalam penelitian ini berdasarkan tujuan penelitian ini yaitu mengklasifikasi algoritma Decision Tree C4.5 yang memiliki kecepatan dan ketepatan yang tinggi untuk proses klasifikasi walaupun data yang dipakai bervolume besar. Pengujian dilakukan dengan membagi data menjadi dua set, yaitu data training (90% atau 80%) dan data testing (10% atau 20%). Hasil pengujian menunjukkan bahwa Rapidminer mencapai tingkat akurasi sebesar 93.50% pada pembagian data training 90% dan data testing 10%, serta meningkat menjadi 94.30% saat pembagian data training menjadi 80%. Di sisi lain, penggunaan Python memberikan tingkat akurasi yang sedikit lebih rendah, yaitu 92% pada data training 90% dan testing 10%, dan 91% pada data training 80% dan testing 20%. Meskipun demikian, baik Rapidminer maupun Python memberikan hasil yang cukup baik dalam memprediksi kasus stroke.
Pengaruh Kepemilikan Sertifikat Kepelautan Terhadap Kesiapan Kerja Pegawai Laut Baru di PT Pelayaran Nasional Indonesia (Persero) Permana, Dika
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.69966

Abstract

Skripsi dengan judul “Pengaruh Kepemilikan Sertifikat Kepelautan Terhadap Kesiapan Kerja Pegawai Laut Baru di PT Pelayaran Nasional Indonesia (Persero) menggunakan metode kuantitatif dan pendekatan melalui metode ekplanatory dan metode deskriptif. Pengambilan data dilakukan secara primer dan Sekunder. Secara primer dilakukan dengan mencari beberapa informasi baik dari media maupun perusahaan sedangkan secara sekunder data diperoleh dari penyebaran kuesioner. Dalam menganalisa data dilakukan dengan beberapa cara seperti analisa deskriftif, uji korelasi, uji determinasi, uji regresi, uji linieritas, uji normalitas uj-T dan Uji-F. Dari hasil uji menunjukkan bahwa variabel X yaitu Kepemilikan Sertifikat Kepelautan berpengaruh positif terhadap variabel Y yaitu Kesiapan Kerja.

Page 4 of 4 | Total Record : 38

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