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Penerapan Data Mining Menggunakan Metode K-Means Clustering Untuk Analisa Penjualan Toko Myam Hijab Penajam Gita Aprilianur; Elvin Leander Hadisaputro
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4684/5.jupiter.2022.04

Abstract

Myam Hijab shop is a store that specializes in selling hijab, but of the various hijabs that are sold, of course, not all of them sell, some do not. Sales data, purchases of goods and unexpected expenses in Myam Hijab are not well structured, so the data only serves as a store archive and cannot be used to develop marketing strategies. Therefore, it is necessary to apply data mining using the K-Means method. at the Myam Hijab shop. The K-Means method can be applied to the Myam Hijab Store to find out which hijab sales are selling, selling and not selling. The application of the K-Means method at this Myam shop is by grouping hijab stock data. Then select 3 random groups as the initial centroid. After the data for each group did not change, it was seen that in the end there were 24 products that were selling well, 59 products that were selling well, and 17 products that were not selling well. Then, the application of the K-Means method on Rapidminer is done by entering product stock data, namely initial stock, sold stock and ending stock, which will be converted into a database in Ms.Excel, the data will be connected to Rapidminer Tools and processed. and form K-means. After that, Rapidminer will produce which products are in high demand, high demand, and low demand.
Evaluasi Manajemen Risiko Teknologi Informasi Pada M-Banking BRI Balikpapan Menggunakan I Framework ICobit I5 I Gita Aprilianur; Nurhalisa Sakir
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 20, No 2 (2021): AGUSTUS 2021
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v20i2.3756

Abstract

BankiRakyat Indonesiai(BRI)Balikpapan iadalah isebuah ilembaga ikeuangan iyang imemiliki ipelayanan iserta imemfasilitasi iperihal ikeuangan imasyarakat idalam iskala imikro. iPada iBank iBRI iteknologi iinformasi iyang iada isudah imemiliki iSOP i(Standar iOperasional iProsedur), inamun imasih iterdapat imasalah idalam isistem imaupun ihuman ierror. iHal-hal iyang idapat imenyebabkan isebuah irisiko iyang iapabila itelah idibiarkan iterus-menerus iakan iberakibat ifatal ipada iperusahaan idan imenghambat iproses ibisnis. iOleh ikarena iitu imaka isangat idiperlukan iadanya ievaluasi ipengelolaan irisiko iTeknologi iInformasi i(TI). iCOBIT i5 imerupakan isalah isatu iframework itata ikelola iTI iyang iterdiri idari i37 iproses itata ikelola iyang idimuat idalam iempat idomain itatakelola iTI iyaitu iEvaluate, iDirect, iMonitor i(EDM), iAlign, iPlain, iOrganise i(APO), iBuild, iAcquire, iImplement i(BAI) idan iMonitor, iEvaluate, iAssess i(MEI). iFokus ipada ipenelitian iini iadalah ipengelolaan irisiko iTI i(APO12) idalam iframework iCOBIT i5. iTujuan ipenelitian iyaitu iuntuk imengetahui itingkat ikapabilitas iserta istrategi iperbaikan iuntuk iproses ipengelolaan irisiko. iDari ihasil ianalisis ipenghitungan itingkat ikapabilitas iberada ipada ilevel i1 i(Performed iProcess) idengan istatus iLargely iAchieved isebesar i79,10% idengan idemikian istatus itersebut itelah imemiliki ibukti idan ijuga ipendekatan isecara isistematis idan ipada ipencapaian iini isecara isignifikan iyang idiperoleh imelalui ipenilaian iterhadap iproses iatribut. iTarget ilevel iyang iingin idicapai iadalah i2 iserta iRekomendasi iagar ilevel i1 iini imencapai ifully iachieved
Co-Authors Hadisaputro, Elvin Leander Nurhalisa Sakir