Prihambodo Hendro Saksono
Data Science Interdisciplinary Research Center, Universitas Bina Darma

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E-Lelang Barang Antik Berbasis Mobile Pada Komunitas Pecinta Antik Kreatif Sriwijaya Palembang Menggunakan Metode Mobile-D Nurul Adha Oktarini Saputri; Elma Amorita; Prihambodo Hendro Saksono
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 1 No. 2 (2020): Jurnal Pengembangan Sistem Informasi & Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v1i2.172

Abstract

At this time antiques are increasingly in demand by many people.in Kompaks (Sriwijaya creative antique lovers community) Palembang introduces the history of these antiques such as furniture, weapons, art items, household items and other art items.besides that, compact also conducts antique auction.Antiques auction is done at the compact post itself and also at events related to history and antiques.from the auction process the time needed for the auction to be compact is longer and bidders must visit the tender process location and follow all the process activities that take place. With these problems, the researcher will make an e-auction (electronic auction) antiques application that will work according to the established auction rules. This e-auction application uses the mobile-D method which is one method that is suitable for the development of mobile applications because it is agile and flexible. so with this application it is expected to make it easier to conduct auction activities that are not limited by time and place.
Analisis Data Twitter: Ekstraksi dan Analisis Data G eospasial Edi Surya Negara; Ria Andryani; Prihambodo Hendro Saksono
INKOM Journal Vol 10, No 1 (2016)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.inkom.433

Abstract

Data geospasial pada media sosial Twitter dapat dimanfaatkan untuk mengetahui informasi spasial (lokasi) yang merupakan lokasi sumber munculnya persepsi publik terhadap sebuah isu di media sosial. Besarnya produksi data geospasial yang dihasilkan oleh Twitter memberikan peluang besar untuk dapat dimanfaatkan oleh berbagai pihak sehingga menghasilkan informasi yang lebih bernilai melalui proses Twitter Data Analytics. Proses pemanfaatan data geospasial Twitter dimulai dengan melakukan proses ekstraksi terhadap informasi spatial berupa titik koordinat pengguna Twitter. Titik koordinat pengguna Twitter didapatkan dari sharing location yang dilakukan oleh pengguna Twitter. Untuk mengekstrak dan menganalisis data geospasial pada Twitter dibutuhkan pengetahuan dan kerangka kerja tentang social media analytics (SMA). Pada penelitian ini dilakukan ekstraksi dan analisis data geospasial Twitter terhadap suatu isu publik yang sedang berkembang dan mengembangakan prototipe perangkat lunak yang digunakan untuk mendapatkan data geospasial yang ada pada Twitter. Proses ekstraksi dan analisis dilakukan melalui empat tahapan yaitu: proses penarikan data (crawling), penyimpanan (storing), analisis (analyzing), dan visualisasi (vizualizing). Penelitian ini bersifat exploratory yang terfokus pada pengembangan teknik ekstrasi dan analisis terhadap data geospasial twitter
Evaluasi Penerimaan dan Penggunaan Aplikasi PLN Mobile di Kota Palembang Dengan Metode Technology Acceptance Model (TAM) Robby Prabowo; Edi Surya Negara; Prihambodo Hendro Saksono
BETRIK Vol. 15 No. 03 (2024): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

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

Abstract

The Technology Acceptance Model (TAM) is a model used to explain and predict attitudes towards the use of a technology. The TAM method has four main variables: (1) Perceived Usefulness (PU); (2) Perceived Ease of Use (PE); (3) Attitude; and (4) Behavioral Intention of Use (BI). This study examines how PLN Mobile can be accepted and adopted based on the four variables mentioned above. The research was conducted in Palembang City with 90 respondents. Data collection was carried out by distributing questionnaires, and 18 indicators were used, measured on a Likert Scale. The data analysis technique used is Partial Least Squares structural equation modeling. The results of this study indicate that Perceived Ease of Use has a significant positive effect on Perceived Usefulness, Perceived Ease of Use has a significant positive effect on Attitude Towards Using, Perceived Ease of Use has no significant effect on Behavioral Intention of Use, Perceived Usefulness has a significant positive effect on Attitude Towards Using, Perceived Usefulness has a significant positive effect on Behavioral Intention of Use, and Attitude Towards Using has a significant positive effect on Behavioral Intention of Use. The theoretical implications of this study suggest that integrating contextual factors such as UI and UX and the development of an enhanced theoretical model can provide a better understanding of technology adoption and application usage. The practical implications of the findings are that to increase the adoption and use of the PLN Mobile application, it is important to focus on improving usability and ease of use, an attractive and functional UI design, as well as effective communication and support strategies.