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Firat Meiyasa
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Jurnal Inovatif Wira Wacana
Published by Universitas Kristen Wira Wacana Sumba
ISSN : -     EISSN : 29625998     DOI : 10.58300
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
Ruang lingkup Jurnal Informatics Networks Optimization Versatility Algorithm Teknik Informatika Wira Wacana (Jurnal INOVATIF WIRA WACANA): Teknologi Informasi (Information Technology), Sistem Informasi (Information Systems), Sistem Informasi Geografis (Geo Information System), Sistem Komputer dan Jaringan Komputer (Computer System and Network), Kecerdasan Buatan (Artificial Intelligence), Mutimedia, Keamanan Jaringan, Keamanan Web (Cyber Security), Software Engineering, Internet of Things, Big Data, Data Science, Game, Evolutionary Algorithm.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 2 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2022): Agustus 2022" : 2 Documents clear
Penerapan Case Based Reasoning Untuk Mendiagnosa Penyakit Pada Ternak Babi Menggunakan Metode Naive Bayes AngDjadi, Jessica Stephanie; Mola, Sebastianus A. S.; Prasetyo, Dwi
Jurnal Inovatif Vol. 1 No. 2 (2022): Agustus 2022
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (750.636 KB) | DOI: 10.58300/inovatif.v1i2.285

Abstract

Pertumbuhan populasi ternak babi di Provinsi NTT meningkat tiap tahunnya, tetapi tidak seimbang dengan pemeliharan kesehatan dari ternak babi yang ada. Salah satu cara untuk meningkatkan pemahaman dan pemeliharaan kesehatan ternak babi kepada peternak adalah dengan menggunakan sistem Case Based Reasoning (CBR). Penelitian ini menggunakan data yang terdiri dari 196 data rekam medis, 7 jenis penyakit dan 33 gejala penyakit yang menyerang ternak babi. Tingkat kemiripan dapat ditentukan dengan cara indexing dan non indexing menggunakan K-Nearest Neighbor (KNN). Indexing merupakan proses pengelompokkan kasus yang ada berdasarkan kelas yang telah ditentukan, sedangkan non indexing merupakan proses tanpa pengelompokkan kasus. Pada pengujian sistem menggunakan K-Fold terdapat 2 hasil pengujian yaitu hasil pengujian secara indexing dan non indexing. Berdasarkan pengujian didapatkan nilai rata-rata akurasi 96,4% dan rata-rata similarity 81,13 dalam waktu 0,114 detik pada pengujian menggunakan indexing dan nilai rata-rata akurasi 98,7% dan rata-rata similarity 83,25% dalam waktu 0,132 detik pada pengujian menggunakan non indexing.
METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA SISTEM INFORMASI TUGAS AKHIR PROGRAM STUDI ILMU KOMPUTER UNIVERSITAS NUSA CENDANA Umanailo, Ali; Rumlaklak, Nelci D.; Widiastuti, Tiwuk
Jurnal Inovatif Vol. 1 No. 2 (2022): Agustus 2022
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.231 KB) | DOI: 10.58300/inovatif.v1i2.283

Abstract

The absence of an information system related to research results in the Computer Science study program, Faculty of Science and Engineering, Nusa Cendana University resulted in the limited provision of research information services in this study program because the scope of delivering information to the wider community was limited. In this research, planning, design and development of a research information system is carried out which will later be used to publish research results in order to provide a source of knowledge about research in study programs to the wider community. The Waterfall system development method uses a Descriptive Analysis approach and refers to five perceptions. The Technology Acceptance Model (TAM) method is used to measure user satisfaction with the system being built. The test was carried out using 59 test data collected directly from prospective students using the system. The test results got a satisfactory value with each perception value, namely: Perceived Ease Of Use of 82.18%, Perceived Usefulness of 81.69%, Attitude Toward Using of 76.90%, Behavioral Intention To Use of 79% and Actual Technology Usage is 81% with an average overall perception percentage of 79.98% and is in the good/high category. Keywords: Information System, Study Program, Waterfall, Technology Acceptance Model (TAM).

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