Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Ekonomi dan Teknik Informatika Technology and Informatics Insight Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Miftahul Huda
Universitas Putra Bangsa, Jawa Tengah, Indonesia
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
EVALUASI USABILITY WEBSITE STIE PUTRA BANGSA SEBAGAI MEDIA INFORMASI PERGURUAN TINGGI Miftahul Huda
JURNAL EKONOMI DAN TEKNIK INFORMATIKA Vol 6 No 2 (2018): Jurnal Ekonomi Dan Teknik Informatika
Publisher : Politeknik Sawunggalih Aji

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.562 KB)

Abstract

This study aims to evaluate the website interface on its usage convenince (usability). It also aims to providerecommendation based on the evaluation as an attempt to improve user acceptance level of the website. The object of this research is STIE Putra Bangsa website. The research is conducted in the application ofquantitative method in the approach of descriptive quantitative. Website is analized by the use of variables, namelydownload delay, navigation, interactivity, responsiveness, information, and user satisfaction. Simple random samplingis the sampling techique used in conducting this research with 94 respondents. The result of this research in the aspect of download delay it values the percentage of 75.80%. In the aspect ofnavigation it values the percentage of 72.94%. In the aspect of interactivity it values the percentage of 74.73%. In theaspect of responsiveness it values72.34%. In th aspect of information content it values 73.67%. In the aspect of usersatisfaction it values 72.96%. The above research results show that STIE Putra Bangsa is classified as good overall.
PERANCANGAN SISTEM INFORMASI KEPEGAWAIAN CV. LANGSUNG JAYA BERBASIS WEBSITE Miftahul Huda
Technology and Informatics Insight Journal Vol. 1 No. 1 (2022): TIIJ
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/tiij.v1i1.27

Abstract

Sistem informasi memberikan banyak manfaat bagi penggunanya dengan menerapkan teknologi-teknologi terbaru sehingga system tersebut dapat digunakan secara maksimal dan efektif. Salah satu yang membutuhkan adanya system informasi yaitu CV. Langsung Jaya. CV. Langsung Jaya membutuhkan system informasi kepegawaian untuk mengelola data kepegawaian tersebut. Saat ini pengelolaan data kepegawaian masih sangat sederhana dan kelengkapan data yang ada masih sangat kurang. Adanya kebutuhan akan system informasi kepegawaian dalam penelitian ini yaitu menggunakan metode deskriptif. Selain itu metode pendekatan system yang digunakan adalah pendekatan terstruktur dan metode pengembangan sistem menggunakan metode Prototype. Hasil dari penelitian ini yaitu memberikan rancangan pada system kepegawaian di CV. Langsung Jaya dengan use case system kepegawaian dan gambaran kasar atau prototype yang tersetruktur.
Comparison Of The C4.5 And Naïve Bayes Algorithm For Recommendations For Aid Recipients For The Smart Indonesian Program Rahmat Hidayat; Miftahul Huda; Nanang Pradita
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 1 (2024): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i1.343

Abstract

Indonesian Smart Program (Program Indonesia Pintar “PIP”) is a government backing program aimed at scholars who come from poor or vulnerable families to finance education. Scholars entering PIP correspond of two orders, scholars who have a Indonesian Smart Card (Kartu Indonesia Pintar) Indonesian Health Card (Kartu Indonesia Sehat) and scholars who are recommended by the academy to get an education. The conventional way carried out by seminaries in furnishing education recommendations takes a long time and is prone to mismatch recommendations so that it can affect in the distribution of PIP backing that isn't on target. From these problems the authors are interested in conducting exploration by exercising data mining ways. This exploration compares the C4.5 algorithm and the Naive Bayes algorithm. Testing was carried out on 139 SDN 03 Karanganyar pupil data. The results of the test set up that the C4.5 algorithm is better than the naive bayes algorithm. So that the Rule generated by the C4.5 algorithm can be used to make a decision-making system at SDN 03 Karanganyar
Co-Authors Nanang Pradita Rahmat Hidayat