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Penyusunan Enterprise Architecture sebagai Strategi Perencanaan dan Penerapan Teknologi pada Proses Bisnis Kerjasama Perguruan Tinggi Safitri, S. Thya; Wibisono, Gunawan; Mulyono, Eliana Sachi
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 7, No 2 (2021): Volume 7 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v7i2.47652

Abstract

IAPT 3.0 merupakan Instrumen Akreditasi Perguruan Tinggi yang telah ditetapkan pada tahun 2019 oleh Badan Akreditasi Nasional Perguruan Tinggi. IAPT 3.0 merupakan instrumen penilaian terbaru yang telah disesuaikan dengan peraturan perundangan terkini dan sebagai upaya perbaikan berkelanjutan. Salah satu perubahan pada IAPT 3.0 terletak pada penilaian Kerjasama di Pendidikan Tinggi. Institut Teknologi Telkom Purwokerto (ITTP) sebagai salah satu perguruan Tinggi swasta di Jawa Tengah merasa perlu beradaptasi dengan instrumen akreditasi yang baru ini untuk meningkatkan nilai akrerditasi Perguruan Tinggi. Permasalahan yang dihadapi oleh ITTP untuk proses bisnis Kerjasama adalah seluruh aktivitas masih dilakukan secara manual dan belum terintegrasi. Permasalahan tersebut menjadikan ITTP perlu berinovasi dengan teknologi untuk menyelaraskan antara strategi bisnis dan teknologi informasi khususnya pada proses bisnis Kerjasama. Penyelarasan dilakukan dengan membuat enterprise architecture (EA) yang sesuai dengan proses bisnis Kerjasama pada ITTP. Perancangan EA menggunakan TOGAF ADM yang meliputi fase preliminary phase, architecture vision, business architecture, information system architecture, technology architecture, opportunities and solutions dan migration planning. Hasil yang diperoleh pada penelitian ini adalah rancangan EA yang telah disesuaikan pada  proses bisnis Kerjasama di ITTP dan architecture roadmap yang disusun menggunakan metode Promethee. Berdasarkan metode Promethee, urutan pengembangan aplikasi ePartnership sesuai dengan fungsionalitas sistemnya adalah diawali dengan pembuatan fungsionalitas pengajuan Kerjasama, alert system, dan terakhir adalah evaluasi kegiatan Kerjasama.
Klasifikasi Kepuasan Pelanggan Menggunakan Metode Classification and Regression Tree (CART) Safitri, S. Thya; Wiguna, Citra; Kusumawardani, Dwi Mustika; Wibowo, Intan Yulita
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.326

Abstract

Customer satisfaction in an application technology has an influence on the value of information technology applications. The use questionnaire method is used to measure the usability of information technology applications through aspects of usefulness, ease of use, ease of learning and satisfaction. Net Promoter Scale is a measuring tool that is widely used to measure customer satisfaction in an organization. The problem that often occurs is that when the organization takes the NPS measurement, the factors that significantly influence the NPS value are not yet known. The e-boarding application developed by PT Kereta Api Indonesia is an application that is very helpful for train passengers during boarding. However, this convenience has not been widely used by passengers using the rail transportation mode. PT Kereta Api Indonesia Persero needs to know the value of the NPS of the e-boarding application as a means of measuring customer satisfaction with the developed information technology application. The classification method uses the Classification and Regression Tree (CART) to identify the linkages between the e-boarding usability measurement aspects using a use questionnaire against the final NPS score. The purpose of this calcification is to determine the factors that affect the usability aspect of the NPS value in the KAI Access e-boarding application. The results of this study indicate that the e-boarding application has an NPS value of 42% or a GOOD value. The more customers who behave as Promoters, the higher the NPS value will be. The CART classification that has been carried out shows that to become a Promoters, the e-boarding application must have a high value of ease of learning and satisfaction.
Klasifikasi Kepuasan Pelanggan Menggunakan Metode Classification and Regression Tree (CART) Safitri, S. Thya; Wiguna, Citra; Kusumawardani, Dwi Mustika; Wibowo, Intan Yulita
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.326

Abstract

Customer satisfaction in an application technology has an influence on the value of information technology applications. The use questionnaire method is used to measure the usability of information technology applications through aspects of usefulness, ease of use, ease of learning and satisfaction. Net Promoter Scale is a measuring tool that is widely used to measure customer satisfaction in an organization. The problem that often occurs is that when the organization takes the NPS measurement, the factors that significantly influence the NPS value are not yet known. The e-boarding application developed by PT Kereta Api Indonesia is an application that is very helpful for train passengers during boarding. However, this convenience has not been widely used by passengers using the rail transportation mode. PT Kereta Api Indonesia Persero needs to know the value of the NPS of the e-boarding application as a means of measuring customer satisfaction with the developed information technology application. The classification method uses the Classification and Regression Tree (CART) to identify the linkages between the e-boarding usability measurement aspects using a use questionnaire against the final NPS score. The purpose of this calcification is to determine the factors that affect the usability aspect of the NPS value in the KAI Access e-boarding application. The results of this study indicate that the e-boarding application has an NPS value of 42% or a GOOD value. The more customers who behave as Promoters, the higher the NPS value will be. The CART classification that has been carried out shows that to become a Promoters, the e-boarding application must have a high value of ease of learning and satisfaction.