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All Journal Prosiding Semnastek Sistemasi: Jurnal Sistem Informasi IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Pilar Nusa Mandiri Indonesian Journal of Information System IKRA-ITH Informatika : Jurnal Komputer dan Informatika EDUMATIC: Jurnal Pendidikan Informatika INFORMASI (Jurnal Informatika dan Sistem Informasi) ABDIPRAJA (Jurnal Pengabdian kepada Masyarakat) Jurnal Informatika Teknologi dan Sains (Jinteks) PADIMAS: Jurnal Pengabdian Masyarakat Explore

Iskandar, Iqbal Dzulfiqar

UNIVERSITAS BINA SARANA INFORMATIKA

Author-ID : 911370

Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Medicine & Pharmacology Public Health Social Sciences Other

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ESTIMASI MEDIA ONLINE DALAM PROSES BISNIS PEMASARAN DAN JASA DI KOTA TASIKMALAYA MENGGUNAKAN METODE DISCRETE Iskandar, Iqbal Dzulfiqar
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Online media is used by many organizations as a helping tool to reach the goal in the business process especially marketing or introducing a product that is marketed. Therefore, this research is trying to explain how massive the role of online media is, in the business process in the town of Tasikmalaya based on a statistic number scale from the data that refer to quantitative methodology, Discrete Data, and Correlational analyses method. Meanwhile. The result of this research reveals Online media is, towards business process marketing and service in the town of the Tasikmalaya area positively affected business process marketing and service. These results are supported by the results of data processing. From 78 organizations, the positive rate of online media on marketing and services is 95% greater than the positive level, which is only 5%. sig. (2-sided) of 0,000, meaning that α=0.05 is greater than the value of Sig. (2-sided) or [0.05> 0,000]. This shows that the variable X has an influence on variable Y. The results of the analysis of bivariate people, obtained the final value r =1, for the estimated value. This number defines the variable X which has a very strong attachment relationship to a variable.

ANALYSIS OF BUBBLE SORT AND INSERTION SORT ALGORITHM ON MEMORY EFFICIENCY USING DATA MINING APPROACH Iskandar, Iqbal Dzulfiqar; Amirulloh, Imam; Pertiwi, Melisa Winda; Kusmira, Mira; Hikmah, Agung Baitul; Supriadi, Deddy
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Sorting algorithm in the computational process makes it easy for users when the data sorting process because the data is sorted by the process quickly and automatically. In addition to speed in sorting data, memory efficiency must also be considered. In this research, a retesting of two sorting methods is conducted, namely the bubble sort method and the insertion sort method based on the comparison of two programming languages, Java with Visual Basic 2010 using the decision tree method. This research aims to find out which algorithm has lower memory consumption in the sorting process using Java or Visual Basic 2010. The results of the comparison show, in Visual Basic 2010. insertion sort algorithm which has the lowest average memory consumption of 4.3243KB for .vb extensions and 2.0145KB for .exe extensions. while the bubble sort method with a consumption amount of 4.4358KB for the .vb extension and 2.0352 for extension.exe. Furthermore, if you use the Java programming language. So the bubble sort method still consumes the highest average memory, which is 546,242KB for the .jar extension and 4,337KB for the .exe extension, whereas from the insertion sort method, which has a low average memory consumption of 543,578 KB for extension .jar, and 4,381KB for extension .exe.

PREDICTION OF COOPERATIVE LOAN FEASIBILITY USING THE K-NEAREST NEIGHBOR ALGORITHM Roviani, Roviani; Supriadi, Deddy; Iskandar, Iqbal Dzulfiqar
Jurnal Pilar Nusa Mandiri Vol 17 No 1 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i1.2183

Approval of credit lending to cooperative members without proper feasibility analysis can cause credit problems, cooperatives such as late payment of installments, and an increase in bad credit which can threaten the survival of the cooperative as a provider of lending services. As a solution to minimize the creditworthiness assessment errors for loan funds, research is carried out to analyze the feasibility of loan funds from the data of cooperative members using the data mining method approach and the algorithm used using the K-Nearest Neighbor. The purpose of this research is to predict the feasibility of granting credit with the right decision and to find out the level of evaluation, accuracy, and validation of the effectiveness of the k-NN algorithm on processing creditworthiness application data classifications. After the prediction research was carried out, the data on the eligibility of credit lending applications were conducted at the Bakti Berkah Sukaraja Savings and Loan Cooperative, The data obtained from the accuracy value of the k-nearest neighbor algorithm before being validated has an accuracy of 87.78% with AUC 0.95, after validation with split validation the accuracy decreased slightly by 2% to be 85.71%, while the AUC value in the ROC Curve was 0.836%. Even though there was a decline, it can still be categorized as a good classification. The impact of this research is that besides the accuracy of the k-NN algorithm being validated, the Bakti Berkah Sukaraja Savings and Loan cooperative can predict the feasibility of applying for credit funds, as an effort to reduce the threat of bad credit risk

Co-Authors Agung Baitul Hikmah, Agung Baitul Amirulloh, , Imam Amirulloh, Imam Bambang Kelana Simpony Deddy Supriadi Dede Sofia Rahmah Erwin Triyana Fatah, Haerul Imam Amirulloh Imam Amirulloh Imam Amirulloh Kusmira, Mira Kusmira, Mira Mega Solihah Melisa Winda Pertiwi Melisa Winda Pertiwi Melisa Winda Pertiwi Miftah Farid Adiwisastra Mira Kusmira Pertiwi, Melisa Winda Rezkiani Rezkiani Roviani, Roviani Surahman, Mumun Taufik Wibisono Taufik Wibisono Taufik Wibisono Taufiqurrochman Taufiqurrochman Yanti Apriyani

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