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All Journal MANAJERIAL Bulletin of Social Informatics Theory and Application Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
Wicaksono Febriantoro, Wicaksono
Ministry of Trade Republic of Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Social Sciences

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KAJIAN DAN STRATEGI PENDUKUNG PERKEMBANGAN E-COMMERCE BAGI UMKM DI INDONESIA Febriantoro, Wicaksono
Manajerial : Jurnal Manajemen dan Sistem Informasi Vol 17, No 2 (2018): Manajerial : Jurnal Manajemen dan Sistem Informasi
Publisher : Program Studi Pendidikan Manajemen Perkantoran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/manajerial.v17i2.10441

Abstract

Menghadapi Asean Economic Community (AEC) yang telah dimulai pada tahun 2016, Usaha Mikro Kecil Menengah (UMKM) diharapkan semakin produktif dan berdaya saing. Salah satu cara untuk meningkatkan daya saing yaitu melalui adopsi ICT (information, communication and technology) termasuk adopsi e-commerce . Penelitian ini bertujuan untuk mengetahui kondisi eksisting, potensi e-commerce, mengetahui faktor pendukung dan penghambat adopsi e-commerce  bagi UMKM serta merumuskan strategi pendukung perkembangan e-commerce bagi UMKM. Metode Penelitian menggunakan metode kualitatif deskriptif dengan pendekatan induktif. Faktor pendukung dan Penghambat serta strategi pendukung berdasarkan survei perilaku konsumen dan riset perkembangan adopsi e-commerce  telah dipetakan dalam analisis SWOT kualitatif dan kuantitatif. Hal ini bermanfaat sebagai masukan bagi stakeholder khususnya pemerintah dan pelaku UMKM untuk memperkuat sektor UMKM terutama dalam hal peningkatan adopsi e-commerceKata Kunci: e-commerce, UMKM,  strategi pendukung, Analisis SWOT
A review: evolution of big data in developing country Prasetyo, Bayu; Aziz, Faiz Syaikhoni; Faqih, Kamil; Primadi, Wahyu; Herdianto, Roni; Febriantoro, Wicaksono
Bulletin of Social Informatics Theory and Application Vol. 3 No. 1 (2019)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v3i1.162

Abstract

The development of technology from year to year is increasingly rapid and diverse. All systems that exist in human life began to be designed with technology that requires large data storage. Big Data technology began to be developed to accommodate very large data volumes, rapid data changes, and very varied. Developing countries are starting to use Big Data a lot in developing their systems, such as healthcare, agriculture, building, transportation, and various other fields. In this paper, it explains the development of Big Data applied to the sectors previously mentioned in developing countries and also the challenges faced by developing countries in the process of developing their systems.
Twitter sentiment analysis about economic recession in indonesia Eka Putra, Fauzan Prasetyo; Maulana, Fairuz Iqbal; Akbar , Nawawi Muhammad; Febriantoro, Wicaksono
Bulletin of Social Informatics Theory and Application Vol. 7 No. 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v7i1.592

Abstract

As one of the most popular social media platforms, Twitter enables users to express their opinions on diverse concepts, products, and services. Large quantities of data shared as tweets can be mined for user feedback and used to improve the quality of products and services. Using Twitter data and social media sentiment analysis, tracking how people feel about the recession in real time is possible. As a consequence, relevant organizations or governments can take preventative measures against the disinformation and unlawful conduct caused by the effects of the recession. This study aims to determine if there is a correlation between how people on Twitter feel about the recession. This study's data acquisition utilized "Recession"-tagged Twitter remarks from 2023. This study analyses filtered tweets for sentiment, emotion, word usage, and trends. According to the findings, 94% of tweets had benign sentiments, 4% had positive sentiments, and 2% had negative sentiments. Tweets with moderate subjective valence cluster in the middle of the polarity scale (between 1 and +1), while tweets with strong subjective valence are dispersed throughout the scale
Developing English Beginner Material for Adult Level Integrated into Web Mobile Triyogo, Agus; Ramasari, Maria; Hamdan, Hamdan; Febriantoro, Wicaksono
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol. 8, No. 4
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

English is an international language which uses as language communication by people in the world with different language backgrounds, by English people have easy-to-do relationships with other people oversea. Looking at the larger of English users in the world, Indonesian must try to follow by learning English to make interaction with other people in the global area. English be one of the scrim lessons in the school because it contrasts with Indonesia Language in vocabulary, pronunciation and vocabulary. Such as in the physic study program at STKIP PGRI Lubuklinggau as 1. Difficult to master English vocabulary, 2. Confuse how to utter words, 3. Do not understand grammatical in writing and speaking. In another hand, they also need some books that able to cover all skills easy to be master such as 1. They need a guidebook which has a lot of vocabulary with meaning, 2. There are guides on how to utter vocabulary, 3. A lot of samples and practice in fours English skills. 4. Book must be practised and interactive. Based on the problem above, researchers tried to develop beginner English material based on web mobile for adults. The method of research was Research and Development with the model of ADDIE. The purpose of this research is to Produce Beginner English material based on Web Mobile. The result shows that based on the judgment from the experts got a score of 3.48, which means the e-model validation was valid. The results of the assessment of student responses to the e-module in the completed questionnaire obtained an average overall assessment score of 3,34 with a very good product category. The outcomes from the research are articles published in national journal indexes by Sinta and an English module based on Web Mobile.
Co-Authors Agus Triyogo Akbar , Nawawi Muhammad Aziz, Faiz Syaikhoni Bayu Prasetyo, Bayu Faqih, Kamil Fauzan Prasetyo Hamdan Hamdan Maria Ramasari Maulana, Fairuz Iqbal Primadi, Wahyu Roni Herdianto