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Journal : Jurnal TAM (Technology Acceptance Model)

APLIKASI E-COMMERCE BERBASIS WEB MOBILE PADA INDUSTRI KONVEKSI SERAGAM DRUMBAND DI PEKON KLATEN GADINGREJO KABUPATEN PRINGSEWU Fergiawan Listianto; Fauzi Fauzi; Rita Irviani; Kasmi Kasmi; Garaika Garaika
Jurnal TAM (Technology Acceptance Model) Vol 8, No 2 (2017): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.887 KB)

Abstract

Convection Drumband Uniform is a convection that makes and sells drumband uniforms in Klaten Gadingrejo Village. System sales, promotion and marketing still use manual system. For that we need a system that can help Convection Drumband Uniforms to be known to the wider community. With the design of Mobile Web-based E-commerce application is the PHP programming language, text editor Macro Dreamweaver, and Photoshop CS6. This app can ease promotion, sales, and expand marketing. 
THE CLASSIFICATION OF PROMOTION MEDIA OF A COLLEGE TO IMPROVE THE MANAGEMENT OF PROMOTION FOR A PRIVATE COLLEGE IN THE EAST OGAN KOMERING ULU DISTRICT Graika Garaika; Gaeldeba Garaika
Jurnal TAM (Technology Acceptance Model) Vol 11, No 1 (2020): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.93 KB)

Abstract

Educational institutions are strategic sectors that can produce quality human resources where educational institutions take place quickly and dynamically. The development and progress of an educational institution are very dependent on the human resources that manage the institution. Promotion media is very important for the progress of an educational institution.  Promotion media is means used to introduce and communicate a product or brand to be known to the wider public. There are three categories of promotional media namely print media, electronic media, and online media. Based on the 2018 BPS, those interested in print and electronic media as a source of information were 25.53% while for online media in 2019 there were 64.8%. So that promotions can be carried out appropriately according to regional conditions, it is necessary to classify promotional media by region. This study aims to classify promotional media according to the region using the C45 algorithm method. The C45 algorithm is used as a decision tree classification model to predict promotional media that is suitable for the promotional target area. To form a decision tree, attributes needed are used as a reference for classification, in this study six attributes are used, namely the availability of internet services, the availability of electricity services, community work, community income, education, and access from the region to the district government.
THE CLASSIFICATION OF PROMOTION MEDIA OF A COLLEGE TO IMPROVE THE MANAGEMENT OF PROMOTION FOR A PRIVATE COLLEGE IN THE EAST OGAN KOMERING ULU DISTRICT Graika Garaika; Gaeldeba Garaika
Jurnal TAM (Technology Acceptance Model) Vol 11, No 1 (2020): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.93 KB)

Abstract

Educational institutions are strategic sectors that can produce quality human resources where educational institutions take place quickly and dynamically. The development and progress of an educational institution are very dependent on the human resources that manage the institution. Promotion media is very important for the progress of an educational institution.  Promotion media is means used to introduce and communicate a product or brand to be known to the wider public. There are three categories of promotional media namely print media, electronic media, and online media. Based on the 2018 BPS, those interested in print and electronic media as a source of information were 25.53% while for online media in 2019 there were 64.8%. So that promotions can be carried out appropriately according to regional conditions, it is necessary to classify promotional media by region. This study aims to classify promotional media according to the region using the C45 algorithm method. The C45 algorithm is used as a decision tree classification model to predict promotional media that is suitable for the promotional target area. To form a decision tree, attributes needed are used as a reference for classification, in this study six attributes are used, namely the availability of internet services, the availability of electricity services, community work, community income, education, and access from the region to the district government.
Co-Authors A. Sriyanti Aan Suriadi Abd. Rasyid Syamsuri Abdul Rahman Jannang Agustina Sri Purnami Ahmad Fauzi Jamaluddin Ahmad Talib Ahmad Zamhari Akhmaloka Akhmaloka Alifianti, Anggun Sukma Alkausyari Aziz Andi Ardasanti Andi Dian Angriani, Andi Dian Andi Halimah Andi Kusumayanti, Andi Andi Mattoliang, Lisnasari Anissa, Zalsa Anton Anton Aprini, Nisma Aradi, Bernadett Artia Diarina Arwan Arwan Asniwati Ayu Andini Azizah, Hanifatul Baharuddin Baharuddin Bakhtiar Bakhtiar Cahyani, Annisa Puti dari, veronika wulan Darmawan, Agung Dwi Dessy Adriani Dessy Adriani Dharma, Agus Surya Dina Sri Nindiati Dwija L, Sutandyo Dyah Sugandini Edwi Agusstiawan Edy Suasono Edy, Khairunnisa Elisa Mayang Sari Elsa Gusrianti Endang Fauziati Endrizal Endrizal, Endrizal Erwina Erwina Eva Dina Chairunisa Fachrurrozie Sjarkowi Faidin Faidin Faisol Mas'ud Faisol Mas’ud Fajri, Emzia Fajri, Rohmatul Fajriani, Nurul Fakhri, Fakhri Fantaye, Abayneh Kebede Fathan, Ahmad Fauzi Febri Yulika Febria, Vera Febrianto, Yogi Fergiawan Listianto Fika Tanira Fiqih Satria fitri lestari Gunarti, Winda Habibatul Hasanah Hadi Nur Hakim, Atthoriq Chairul Hamka Mappiasse Hamzah, Norhayati Hapidin, Hapidin Haried Novriando Harwanto Harwanto Hasan, Rezkianti Hasrianti, Andi Hasvian, Muhammad Hatta, Fadya Iftitah Helisia Margahana Helisia Margahana I Komang Werdhiana Ika Purnamasari Kabib Sholeh Kasmi, Kasmi Lestari Dwi Astuti Lestyani, Lestyani Lily Thamrin Lusi Lusi Mahadiputra, Bagus Oka Mangku Luhur, Nanda Putra Darma Marsuki Umar Maulana Maulana, Maulana Ma’rifah Ma’rifah Meray, Nishia Waya Mery Efriyanti Miftahul Hadi Moch Saad, S.Pi.,M.Si Muhamad Idris Muhammad Idris Muhammad Idris Muhammad Junaidi Muhammad Subhan Mukti Ali Muzizat Akbarrizki, Muzizat Najib Asmani Ningsih, Warti Nirzalin Novi Safriadi Novitasari Novitasari Nurhaeda Nurhaeda Nurhasanah Nurhasanah Nurillahi, Adam Sakti Nursalam Nurwahyuni, Atik PERMADI, I GUSTI AGUNG DIDIT EKA Prima, Andika Dika Priyani, Putu Devi Purwanti, Rani Putra, Muhammad Galvin Prihadi Rahajeng Arundati Rahayu, Fuji Rahmadani, Ceila Rahmadani, Nuzul Rahman Rahman Rahmat Dwi Cahyo Rahmawan, Ardi Rasyidin Rasyidin Rava Fernanda Purnama Rava Fernanda Purnama Rita Irviani Saban Echdar Sahrir, Ayu Sulistya Putri Salsabila Wahyu Hadianti, Salsabila Wahyu Saputra, Dedek Sari, Pawitra Sari, Putri Anggun Sarifandi, Sujai Saripuddin Saripuddin Siti Zuhriah Ariatmi Sowwam, Muhammad Sri Ipnuwati Sri Sarwo Sari Sri Sulasteri, Sri Sri Wahyuni sriati sriati Suhaimi Suhaimi Sukardi Sukardi Sulaeman, Kurniawan Saputra Suparjo Suryani, Febdwi Suryani, Suci Elya Intan Suyadi Suyadi Syamsi Syamsi syanni yustiani Sylvia Sjarlis Ta’a, Raoda Isti Tannia, Yuni Tjen Veronica Tjen Veronika Trisnawati Usman Mulbar Wahyu Widodo Wandiyo Wandiyo Wawan Gunawan Widuri Widuri Winda Feriyan Winda Feriyana Wiyarno, Yoso Yansahrita . Yayat Suharyat YULI PUJIANTI Yuliandari, Rini Yuliany, Nur Yuni Istanto Yuni Istanto Yurisman Yurisman Yusrab Ardianto Sabban Yusuf Yusuf Yusup Yusup Zahrul Arief Intasar Zikri, Arifin