cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Saepul Bahri
Contact Email
saeful.sel@bsi.ac.id
Phone
+6281210914656
Journal Mail Official
jurnal.larik@bsi.ac.id
Editorial Address
Jl. Raya Cemerlang No.8, Sukakarya, Kec. Warudoyong, Kota Sukabumi, Jawa Barat 43135
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
Ladang Artikel Ilmu Komputer
Published by Universitas Bina Sarana Informatika
ISSN : -     EISSN : 28081730     DOI : https://doi.org/10.31294/larik.v2i2
Core Subject : Science,
Computer Science & IT
Jurnal Larik : Ladang Artikel Ilmu Komputer adalah jurnal yang berisi artikel penelitian dan studi ilmiah dalam bidang ilmu komputer dan Informatika khususnya sistem otomasi, kecerdasan buatan, pembelajaran mesin dan penambangan data.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 27 Documents
 1   2   3 
Sistem Informasi Pendaftaran Member Berbasis Web Pada Meadow Terrace Sports Club Asyharudin; Hylenarti Hertyana
Ladang Artikel Ilmu Komputer Vol 3 No 1 (2023): Juli 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Information technology is developing fast, almost every organization and company has used technology in its operational implementation so that information technology is an integral part of supporting the success of an organization and company. Meadow Terrace Sports Club is a fitness center that has various facilities for visitors such as a standard athletic swimming pool, SPA & Sauna, basketball courts, tennis courts and quality fitness equipment. Meadow Terrace Sports Club, which is located in Housing The Green BSD City, Serpong, already has more than 400 active members. In addition to serving visitors who are already registered as members, Meadow Terrace Sports Club also serves visit transactions for the public who are not yet members with more than one visit. than 50 people per day. Data management at Meadow Terrace Sports Club is still carried out using manual and conventional methods using spreadsheet or excel applications so that it takes a long time to do each job to support business processes. In order to realize good information technology governance in order to create productivity and quality as well as good financial conditions and to avoid failures or errors, as well as to help Meadow Terrace Sports Club management more easily manage member data and be more efficient in preparing reports, it is necessary to have one system that can accommodate these needs.
Analisis Kesuksesan Sistem Informasi Absensi Guru SD Pusdai Sumedang Menggunakan Model Delone & Mclean yati novita, surendi; Novita, Yati; Supiandi, Apip; Wintana, Dede
Jurnal Larik Ladang Artikel Ilmu Komputer Vol 3 No 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

With the passage of time and the development of human resources, SD Pusdai Sumedang now uses an Android-based attendance application to facilitate attendance. This research was conducted with the aim of knowing the success of the SD Pusdai Sumedang teacher attendance information system using the Delone & Mclean model, which includes the variables of system quality, information quality, service quality, usage, user satisfaction and system benefits. The number of respondents was 24 teachers and SD Pusdai Sumedang staff. Data analysis methods used in the instrument test are convergent validity test, discriminant validity test, R Square test, F Square test, and t-test. The test was carried out by calculating the PLS-SEM with the smartpls 4 tool. Based on the results of the study, the following conclusions can be drawn: (1) System quality has a significant effect on the use of the attendance application; (2) There is a significant influence between the use of the present-request system; (3) There is no significant influence between information quality, service quality, use, then system quality, information quality, service quality, usage on user satisfaction and user satisfaction with system usability.
Sistem Penunjang Keputusan Pemilihan Peserta Pelatihan Pada BLK Komunitas Al-Minhaj Al-Islamy Menggunakan Metode SMART Ainul Zahroh, Siti; Farlina, Yusti; Yulistria, Resti
Jurnal Larik Ladang Artikel Ilmu Komputer Vol 3 No 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam upaya pembangunan kemajuan, tenaga kerja yang berkualitas dan berkompetensi merupakan salah satu aspek terpenting dalam kemajuan bangsa. Oleh karena itu, dibutuhkanlah sebuah pelatihan untuk mengembangkan kualitas dan kompetensi kerja. BLK Komunitas Al-Minhaj AL-Islamy merupakan salah satu fasilitas pelatihan kerja untuk mengembangkan kompetensi kerja sesuai kebutuhan pembangunan dan pasar kerja. Dalam proses memilih peserta pelatihan yang lolos harus sesuai dengan kriteria yang dibutuhkan. Namun, dalam proses pengambilan keputusan masih menggunakan gagasan masing-masing yang mengakibatkan kekeliruan dan proses keputusan yang kurang tepat sasaran. Sistem Penunjang Keputusan (SPK) menggunakan metode SMART dapat membantu tim seleksi dalam memilih peserta pelatihan dengan tepat sasaran. Metode SMART (Simple Multi Attribute Rating Technique) merupakan sebuah teknik keputusan multi atribut. Teknik pengambilan keputusan multi atribut ini digunakan untuk mendukung pembuat keputusan dalam memilih beberapa alternatif dengan menggunakan beberapa kriteria. Pada metode ini, kriteria yang digunakan yaitu usia, pendidikan terakhir, hasil ujian tertulis dan hasil tes kesehatan mata. Dengan menggunakan metode SMART (Simple Multi Attribute Rating Technique) dapat memberikan alternatif terbaik dalam pengambilan keputusan dengan didapatkan alternatif dengan nilai tertinggi yaitu Salman Al-Farisi dengan nilai 0,92 sebagai rangking pertama.
a Prediksi Kelayakan Kredit untuk Produk Elektronik dan Furnitur Menggunakan Metode Naive Bayes Putra, Muhammad M. K.; Putri, Nurul Anisa; Nugraha , Anton Bayu; Hasby , Dena
Jurnal Larik Ladang Artikel Ilmu Komputer Vol 3 No 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Consumer product purchases often rely on credit as a solution to finance the acquisition, including for electronic and furniture products. It's not just consumers involved in credit use; manufacturers and distributors of electronic and furniture products also depend on credit facilities to support sales. Predicting credit eligibility directly impacts credit providers' decisions in assessing whether a consumer qualifies for credit to purchase those products or not. Through accurate credit eligibility assessments, credit providers can mitigate credit risks associated with extending credit to consumers who may have lower repayment capabilities. Naive bayes, as an analytical method, offers ease of implementation, effectiveness in managing categorical data, the ability to compare probabilities, good accuracy, easily interpretable results, and the capability to handle categorical variables with numerous values. The utilization of naive bayes classification methods in predicting loan eligibility for customers in this study resulted in data accuracy metrics of 90%, recall of 80%, and precision of 100%. Additionally, the AUC value produced is 1.000.
Analisis Kesuksesan Sistem Informasi Absensi Guru SD Pusdai Sumedang Menggunakan Model Delone & Mclean yati novita, surendi; surendi; Novita, Yati; Supiandi, Apip; Wintana, Dede
Jurnal Ladang Artikel Ilmu Komputer Vol. 3 No. 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

With the passage of time and the development of human resources, SD Pusdai Sumedang now uses an Android-based attendance application to facilitate attendance. This research was conducted with the aim of knowing the success of the SD Pusdai Sumedang teacher attendance information system using the Delone & Mclean model, which includes the variables of system quality, information quality, service quality, usage, user satisfaction and system benefits. The number of respondents was 24 teachers and SD Pusdai Sumedang staff. Data analysis methods used in the instrument test are convergent validity test, discriminant validity test, R Square test, F Square test, and t-test. The test was carried out by calculating the PLS-SEM with the smartpls 4 tool. Based on the results of the study, the following conclusions can be drawn: (1) System quality has a significant effect on the use of the attendance application; (2) There is a significant influence between the use of the present-request system; (3) There is no significant influence between information quality, service quality, use, then system quality, information quality, service quality, usage on user satisfaction and user satisfaction with system usability.
Sistem Penunjang Keputusan Pemilihan Peserta Pelatihan Pada BLK Komunitas Al-Minhaj Al-Islamy Menggunakan Metode SMART Ainul Zahroh, Siti; Farlina, Yusti; Yulistria, Resti
Jurnal Ladang Artikel Ilmu Komputer Vol. 3 No. 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam upaya pembangunan kemajuan, tenaga kerja yang berkualitas dan berkompetensi merupakan salah satu aspek terpenting dalam kemajuan bangsa. Oleh karena itu, dibutuhkanlah sebuah pelatihan untuk mengembangkan kualitas dan kompetensi kerja. BLK Komunitas Al-Minhaj AL-Islamy merupakan salah satu fasilitas pelatihan kerja untuk mengembangkan kompetensi kerja sesuai kebutuhan pembangunan dan pasar kerja. Dalam proses memilih peserta pelatihan yang lolos harus sesuai dengan kriteria yang dibutuhkan. Namun, dalam proses pengambilan keputusan masih menggunakan gagasan masing-masing yang mengakibatkan kekeliruan dan proses keputusan yang kurang tepat sasaran. Sistem Penunjang Keputusan (SPK) menggunakan metode SMART dapat membantu tim seleksi dalam memilih peserta pelatihan dengan tepat sasaran. Metode SMART (Simple Multi Attribute Rating Technique) merupakan sebuah teknik keputusan multi atribut. Teknik pengambilan keputusan multi atribut ini digunakan untuk mendukung pembuat keputusan dalam memilih beberapa alternatif dengan menggunakan beberapa kriteria. Pada metode ini, kriteria yang digunakan yaitu usia, pendidikan terakhir, hasil ujian tertulis dan hasil tes kesehatan mata. Dengan menggunakan metode SMART (Simple Multi Attribute Rating Technique) dapat memberikan alternatif terbaik dalam pengambilan keputusan dengan didapatkan alternatif dengan nilai tertinggi yaitu Salman Al-Farisi dengan nilai 0,92 sebagai rangking pertama.
a Prediksi Kelayakan Kredit untuk Produk Elektronik dan Furnitur Menggunakan Metode Naive Bayes Putra, Muhammad M. K.; Putri, Nurul Anisa; Nugraha , Anton Bayu; Hasby , Dena
Jurnal Ladang Artikel Ilmu Komputer Vol. 3 No. 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Consumer product purchases often rely on credit as a solution to finance the acquisition, including for electronic and furniture products. It's not just consumers involved in credit use; manufacturers and distributors of electronic and furniture products also depend on credit facilities to support sales. Predicting credit eligibility directly impacts credit providers' decisions in assessing whether a consumer qualifies for credit to purchase those products or not. Through accurate credit eligibility assessments, credit providers can mitigate credit risks associated with extending credit to consumers who may have lower repayment capabilities. Naive bayes, as an analytical method, offers ease of implementation, effectiveness in managing categorical data, the ability to compare probabilities, good accuracy, easily interpretable results, and the capability to handle categorical variables with numerous values. The utilization of naive bayes classification methods in predicting loan eligibility for customers in this study resulted in data accuracy metrics of 90%, recall of 80%, and precision of 100%. Additionally, the AUC value produced is 1.000.

Page 3 of 3 | Total Record : 27

 1   2   3 

Filter by Year

2021 2023


Reset
Filter By Issues
All Issue Vol 3 No 2 (2023): Desember 2023 Vol. 3 No. 2 (2023): Desember 2023 Vol 3 No 1 (2023): Juli 2023 Vol 2 No 2 (2022): Desember 2022 Vol 2 No 1 (2022): Juli 2022 Vol 1 No 2 (2021): Desember 2021 Vol 1 No 1 (2021): Juli 2021