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PENINGKATAN PENYELARASAN AGILITY PERANCANGAN KEGIATAN AKADEMIK TERHADAP IMPLEMENTASI KALENDER AKADEMIK ONLINE YANG SESUAI STANDART KUALITAS BERDASARKAN DOMAIN COBIT YANG TERKAIT Ratih Ayuninghemi; Prawidya Destarianto
Jurnal Teknologi Informasi dan Terapan Vol 1 No 2 (2014)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Determination of the academic calendar is a very important process in an educational institution. Because with the academic calendar and schedule of activities will be organized and on time and on target. Academic calendar can also be used as a plan for future educational activities. On the Tools COBIT 4.1 or Control objectives for Information and related Technology there are several domains related to support the creation of Business Goal (BG) improving the efficiency of the academic activities of the students are PO8 and PO10. In this study conducted a measurement or measure the maturity of a prose IT support business processes for alignment between BG Process Efficiency and IT Activity Goal Submission of draft and Quality Standards and expense budget. After the measurement of maturity (Maturity) before and after the SPO added IT to support business processes and are also into the two domains COBIT as guidelines. The results of the comparison measure for domain PO8 maturity and PO10 significant increase of maturity is up 1 level so that the use of IT to support SOP Business Process indeed very important role.
SISTEM APLIKASI ZONASI WILAYAH RAWAN KRIMINALITAS DI KABUPATEN JEMBER Hendra Yufit Riskiawan; Ratih Ayuninghemi; Dedy Teguh Pribadi
Jurnal Teknologi Informasi dan Terapan Vol 3 No 1 (2016)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Development Of Mobile Applications For Healthcare Consultation Ratih Ayuninghemi; Atma Deharja
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

This paper discusses mobile applications developed as communication and consultation mediums between doctors and patients. E-Consul  has several features including a patient registration feature with a time limit to consult a physician, meaning that there is an expiry date on the account being used. For patients, they do not need to see a doctor in practice, but directly consulted bias when want to discuss related treatments. For doctors with this application the patient can not afford the time and distance to consult a doctor. Keywords : Mobile Application, Healthcare, and Consultation  
Image Segmentation for Oyster Mushroom Grade with Canny Detection for Image Classification Ratih Ayuninghemi; Dia Bitari Mei Yuana; Nurul Sjamsijah; Lukie Perdanasari; Mohammad Hidayatullah; Iqbal Ikhlasul Amal
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.468

Abstract

Product quality must remain good to consumers and expand market segmentation to increase income and improve farmers' welfare, post-harvest handling needs to be done. One of the post-harvest handlings of fresh oyster mushroom products is grading. The grading process is carried out based on the quality of the oyster mushroom harvest which is classified into three, namely Grade A, Grade B, and Grade C. Computer technology with digital image processing segmentation and image classification using canny edge detection can be the first step in the process of grading fresh oyster mushrooms. so that the image can be processed for canny detection, it is necessary to do image segmentation. From the results of thresholding on the oyster mushroom image, the threshold value of T is obtained, namely with T1 below 50 and T2 above 150. The T threshold value is a classification for the canny detection process. Of the six oyster mushroom datasets, five datasets of oyster mushrooms were obtained accurately, while one mushroom had broken lines and noise.