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All Journal Jurnal Media Infotama Innovative Journal of Curriculum and Educational Technology Jurnal Educative: Journal of Educational Studies PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal SITECH : Sistem Informasi dan Teknologi JURNAL PERSPEKTIF PENDIDIKAN Indonesian Journal of Business Intelligence (IJUBI) Jurnal Abdimas Mandiri J-PiMat : Jurnal Pendidikan Matematika INTEGRITAS : Jurnal Pengabdian Teknomatika (Jurnal Teknologi dan Informatika) Jurnal UNITEK Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer TIERS Information Technology Journal Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Informatics and Enginering Dedication Jurnal Educative: Journal of Educational Studies Abdine : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Edutic : Pendidikan dan Informatika BAJET ( Baturaja Journal of Educational Technology) Bulletin of Informatics and Data Science Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Joko Kuswanto
Universitas Baturaja
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Transportation Other

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Journal : KLIK: Kajian Ilmiah Informatika dan Komputer

 1 
Sistem Pakar untuk Mendiagnosa Penyakit Syaraf dengan Metode Forward Chaining Joko Kuswanto; Leni Pebriantika; Sulia Ningsih
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 2 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i2.587

Abstract

The development of information technology that is developing rapidly, is very helpful in all aspects and even able to process, adopt and think like a human being called an expert system. The expert system that will be built is to diagnose neurological diseases. The method used in this study is forward chaining which is considered simple but easy to understand. With the existence of an expert system, it is hoped that ordinary people can solve complicated problems in this case neurological diseases that can actually only be solved with the help of experts. For experts themselves, the existence of an expert system will also help their activities as a very experienced assistant. From the results of the tests that have been carried out, it shows that the expert system is suitable for use to diagnosea neurological disease
Penerapan Metode Weighted Product (WP) untuk Menentukan Penerimaan BLT di Desa Rawasari Joko Kuswanto; Ardha Febriyanti Wulandari; Indri Yani; Sheyla Rizky Novanto Samudra; Jum Dapiokta
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.750

Abstract

One of the government's programs to overcome poverty problems is the distribution of Bantuan Langsung Tunai (BLT). Bantuan Langsung Tunai (BLT) is a form of assistance from the government as a form of compensation from the increase in the price of Fuel Oil (BBM). In providing BLT to rural communities in Indonesia, the government has certainly set several criteria in determining who is entitled to receive the assistance.  Therefore, a decision support system is needed that can help provide recommendations for choices in effective and efficient decision making.  The decision support system to be built applies the Weighted Product (WP) method in accordance with administrative assessment criteria and BLT information, so that information can be conveyed quickly and administrative management is more transparent and effective. After searching for vectors to get a BLT, the largest vector value of 0.06006 obtained by Rizki thus Rizki's feasible alternatives became a priority to get BLT-Dana Desa and were recommended in receiving assistance.
Penerapan Case Based Reasoning Dalam Memprediksi Masa Tunggu Kerja Calon Alumni Abdul Rahman; Pujianto; Joko Kuswanto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.849

Abstract

Alumni are assets for an educational institution, can illustrate how the vision and mission of the alumni home institution are achieved. Educational institutions need to track their graduates, this is done as a source of information and to find out the absorption, process, and position of graduates in the world of work and assist government programs in mapping the needs of the world of work with competencies obtained from universities. In addition, to increase the accreditation of a university, college or department. So important is alumni data in the world of work, there is a need for a system to predict the waiting points for alumni to work. The purpose of this study is  to apply the Case Based Reasoning in predicting the waiting period of prospective alumni at Baturaja University using the K-Neareast Neigbor algorithm. Reasoning is based on 14 attributes with 10 rule bases. Based on the representation of the new case, the similarity value of the old case with the new case is 0.64
Co-Authors Abdul Rahman Adrianus Gultom Amsar Amsar Anggraeni Agustin Muris Anita Adesti Ardha Febriyanti Wulandari Candra Kurniawan Danial, Ekawati Dapiokta, Jum Destiarini Destiarini Destiarini Ekawati Danial Indri Yani Ismawati Ismawati JOHAN EKA WIJAYA Jum Dapi Okta Leni Pebriantika Leni Pebriantika M Nang Al Kodri Muyaroah, Siti Ningsih , Sulia Nursaka Putra Nurshanti, Dora Fatma Pernando, Yonky Pujianto Putri Diamar Qosim, Arief Sheyla Rizky Novanto Samudra Siti Muyaroah Siti Ulfa Dillah Sulia Ningsih Sulia Ningsih Titus Kristanto, Titus Trisilia Devana Walusfa, Yosita Walusfa, Yosita Yamanto Isa Yelmi Yunarti