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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) JSiI (Jurnal Sistem Informasi) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Pengabdian Masyarakat (ABDIRA) J-Com (Journal of Computer) Digital Transformation Technology (Digitech) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat The Indonesian Journal of Computer Science Jurnal Pustaka Paket
Riki Andri Yusda
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Aerospace Engineering Arts Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Nursing Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
IMPLEMENTATION OF CUSTOMER RELATIONSHIP MANAGEMENT IN THE GALLERY SAHABAT MUSLIMAH Yunita Sari; Riki Andri Yusda; Andri Nata
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.185

Abstract

Gallery Sahabat Muslimah is a business engaged in selling Muslim clothing or fashion needs such as robes, skirts, headscarves, socks, masks and others. Gallery Sahabat Muslimah currently does not have its own website to market the products it sells. In addition, orders are still made by recording manually so it is inconvenient if there are customers who cancel their orders. Currently, the Friends of Muslimah Gallery market its products offline and online using the FACEBOOK application media which is still an obstacle because the menu display regarding the product is not available in full, such as existing stock, ordering, promotion, and payment methods. So it is necessary to have a Customer Relationship Management system that is made in the form of a web-based system that will help to increase sales and customer loyalty because it has been computerized. This system was created to make it easier for customers to make purchases or order products, view the latest items, view product stock, view promotions and be able to make payments online or via bank and others.
WEB-BASED EXPERT SYSTEM TO DIAGNOSE OVARIAL CYST DISEASE USING CERTAINTY FACTOR METHOD Ayu Sundari; Riki Andri Yusda; Tika Christy
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.362

Abstract

Ovarian cysts are one of the most common forms of reproductive disease affecting women. Cyst or tumor is a form of abnormality that can be regarded as a benign growth of smooth muscle cells in the ovaries. Cysts are usually harmless but do not rule out the possibility of a malignant cyst or even turn into cancer. The thing that makes ovarian cysts dangerous is when they burst, are very large, or block the blood supply to the ovaries. Lack of knowledge of the general public about the symptoms that cause ovarian cyst disease makes it too late to detect this disease early so it is slow in handling, there are even some cysts or tumors which when they become malignant are only detected as having ovarian cysts, as well as unhealthy lifestyles of today's society such as consuming alcohol, fast food, causing the body to produce more chemicals. To overcome this problem, the design of a web-based expert system to diagnose ovarian cyst disease using the certainty factor method is made to assist the public or users in diagnosing through the symptoms they feel. The method used to diagnose ovarian cyst disease is the Certainty Factor method. From the calculations that have been inputted by the user, the results obtained are 97% confidence that the patient is likely to be diagnosed with cystadenoma ovarii mucinosum. With this web-based expert system program, it is hoped that the general public or users can diagnose ovarian cyst disease through the symptoms felt so as to minimize the possibility of the cyst becoming malignant.
Co-Authors Abdul Azis Ubaidillah Abulwafa Muhammad Adelia Klisna Hasibuan Afdhal Syafnur Alan Wahyuda Nasution Aminatuzzariyah Panjaitan Andri Nata Ayu Sundari Chitra, Latiffani Cristifani, Cristifani Desi Ernawati Dewi Maharani Edi Kurniawan Endra Saputra Erna Budhiarti Nababan Febby Madonna Yuma Feby Wulandari Sembiring Guntur Maha Putra Harahap, Indra Ramadona Hariansyah Jufri Havid Syafwan Helmiah, Fauriatun Herman Saputra Indri Arfanda Jaka Kurnia Kasinun Kasinun Masitah Handayani Maya Lestari Muhammad Ardiansyah Sembiring Nurwati Nurwati Pristiyanilicia Putri Rahmiatun Nisa Rendy Fahrezi Ramadhan Rika Nofitri Rohminatin, Rohminatin Ruri Ashari Dalimunthe Santoso Santoso Sutarman Sutarman Syafwan, Mahdhivan Tika Christy William Ramdhan Wiwin Handoko Yunita Sari