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All Journal Jurnal Inspiration CogITo Smart Journal CCIT (Creative Communication and Innovative Technology) Journal SENSITEK E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Abdimas Ilmiah Citra Bakti (JAICB) ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian kepada Masyarakat Indonesian Collaboration Journal of Community Services (ICJCS) Malcom: Indonesian Journal of Machine Learning and Computer Science Literacy : International Scientific Journals of Social, Education, Humanities West Science Social and Humanities Studies Jurnal Pengabdian Masyarakat dan Riset Pendidikan DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) Pledoi Law Jurnal

Harlina, Sitti

Universitas Dipa Makassar

Author-ID : 1262293

Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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DATA MINING PADA PENENTUAN KELAYAKAN KREDIT MENGGUNAKAN ALGORITMA K-NN BERBASIS FORWARD SELECTION DATA MINING ON CREDIT FEASIBILITY DETERMINATION USING K-NN ALGORITHM BASED ON FORWARD SELECTION Sitti Harlina
CCIT Journal Vol 11 No 2 (2018): CCIT JOURNAL
Publisher : Universitas Raharja

Along with the development of economic and banking services, the term credit is one of the banking products, in determining credit worthiness required data, information about creditworthiness is an interesting issue to be in carefully. In line with business growth, the leasing or crediting sector (credit), has complex and complex problems and problems in which the data are grouped into two classes, good credit and bad credit. In banking activities the feasibility of credit determination is often the problem of bad debts caused by the failure of partial return of loans provided to the borrowers for it required accurate data prior to lending or credit. So it is appropriate to use data mining classification techniques. This study discusses the Data Mining on the determination of creditworthiness using the K-nn-based Forward Selection algorithm. K-nn algorithm applied to consumer data using credit financial services with the help of Forward Selection. The experimental results show that K-nn in classifying credit risk has accuracy value for K-nn at K = 11 accuracy = 68,30%, and for Forward Selection at K = 9 which accuracy level = 73,60%, using feature Forward Selection can produce a good degree of accuracy, so it can be applied to determine the risk of credit risk eligibility.

Academic Application at STIEM Bongaya Makassar Web-Based Usman Usman; Sitti Harlina
CCIT (Creative Communication and Innovative Technology) Journal Vol 14 No 1 (2021): CCIT JOURNAL
Publisher : Universitas Raharja

This study aims to design a web-based academic information system at STIEM Bongaya Makassar. During this academic service to students is still done manually, for example at the end of the semester students usually queue up to see grades and class schedules that use paper media that is posted on the bulletin board, so servants to students become ineffective and inefficient. With the advancement of information technology such as internet media, it can support the academic activities of a college. So with the use of internet media students do not need to come directly to the lecture to get academic information The web-based academic information system at STIEM Bongaya Makassar is expected to provide convenience in managing student data and academic services. This academic information system will later be web-based created using the Php and MySQL programming languages as a database, and white box testing as a testing method to find out whether an application has been made free of logical errors

Co-Authors Adhy Rizaldy Ahyuna Ahyuna Akbar Bahtiar Alief Rifky Sugiarto Andi Asvin Mahersatillah Suradi Andrew Ridow Johanis M Angdy Erna Arham Arifin Armus, Rakhmad Arwansyah Arwansyah Asrul Aswar Bekti Setiadi Cucut Susanto Djafar, Imran Edwin Tri Alfriady Erfan Hasmin Erfan Hasmin Fadli Faisal Rasyid Faizal Faizal Faizal Ferdiansyah Noor Alief Hasyrif SY Heriadi Heriadi Imran Djafar Jumahir fitra ramadan kahar Komang Aryasa Loso Judijanto M. Syabur Feryson Pilat Madyana Patasik Magfirah Magfirah Marsellus Oton Kadang Muh. Khaddafi Muhammad Furqan Rasyid Muhammad Yusuf Ni Desak Made Santi Diwyarthi Novita Sambo Layuk Nurdiansah Nurlina Nurlina Nurul Aini Rahmat Rina Maryana Rismayani Rismayani Roy Pata’Langi Rudy Donny Lillikwatil Sadly Syamsuddin Sadly Syamsuddin Samsie, Indra Sapriadi Sapriadi Sitti Aisa Sriwahyuningsi Piu Sunardi Sunardi Suryani Suryani Usman Usman Usman Usman Usman Usman _ Yandi Wahyudi Yohannes Johny Soetikno

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Journal : CCIT (Creative Communication and Innovative Technology) Journal