Garuda - Garba Rujukan Digital

Rancang Bangun Sistem Informasi pelayanan Paket Pernikahan Pada Mindo Wedding Organizer Dewi Laraswati; Marlina Marlina
Indonesian Journal on Software Engineering (IJSE) Vol 5, No 1 (2019): IJSE 2019
Publisher : Universitas Bina Sarana Informatika

Abstract: Mindo Wedding Organizer is a business in the field of wedding and catering services that includes wedding planning consultations or other large events that serve catering, rental clothes and bridal makeup. In this study, researchers identified the problem using an Ishikawa diagram so that it was known the cause and effect of the existing problems. Next, the researchers propose a computerized system with the waterfall method. With Computerization System the problems that exist in this company, especially in terms of data processing can be resolved properly, and with a computerized system can be achieved an activity that is effective and efficient in supporting the activities of this company. Keywords: Wedding Package Services, Information Systems, Ishikawa, Waterfall

Comparison AHP-MABAC And Waspas Methods For Supplier Recommendations Wina Yusnaeni; Marlina Marlina; Ratih Yulia Hayuningtyas; Retno Sari
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 7, No 2 (2021): JTK-Periode Juli 2021
Publisher : Universitas Bina Sarana Informatika

The procurement of the goods or services of a company is determined by qualied suppliers. Therefore, it is necessary for a company to choose and evaluate the suppliers that have cooperated based on the required criteria. The purpose is that all of the suppliers can compete in improving the quality and their consistency as a supplier to the company. The process to decide the appropriate supplier in this study is multicriteria support decision methods that can help in the consistency's criteria and the accuracy of the decision. Here we perform the calculation criteria for consistency with the AHP method that will further calculate the weight of criteria and alternatives against the criteria using the method of MABAC and WASPAS. The results of the data comparison using the method of MABAC have actual results with the suppliers recommended and not recommended compared to the method of WASPAS.

Perangkingan Rekomendasi Supplier Terbaik menggunakan Metode AHP dan Promethee Marlina Marlina; Wina Yusnaeni
JURNAL TEKNIK KOMPUTER Vol 7, No 1 (2021): JTK-Periode Januari 2021
Publisher : Universitas Bina Sarana Informatika

In the industrial world, of course, accuracy in choosing production materials is the main thing. Production materials are chosen not only in terms of the quality of the materials themselves but in terms of choosing the right supplier also determines good production. With the right selection, caution is needed. Therefore, the selection of the selection is done by using several aspects including price, quality of goods, delivery, payment methods, services, and aspects of K3L. To process the data in order to obtain an accurate ranking, namely by using AHP (Analytical Hierarchy Process) and Promethee (Preference Ranking Organization Method for Enrichment Evaluation). With these two methods, the supplier ranking will be obtained from the lowest to the highest. By getting the ranking results, it will certainly make it easier for the leader, in this case, the manager to choose the best supplier. With the selection of the best supplier, of course, the production process will run smoothly and the goods produced will have the best quality. By producing quality products, it will certainly affect the sales results later and it will greatly benefit the company.

PEMERINGKATAN PENILAIAN KINERJA KARYAWAN MELALUI METODE AHP DAN VIKOR Wina Yusnaeni; Marlina Marlina
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): PILAR Periode September 2019
Publisher : LPPM Universitas Nusa Mandiri

In the company can not be separated from human resources, which is an important part of the company. The success of a company depends on the resources that are in it. Therefore, human resources have a very vital role. One of the most important factors in a company, human resources must be considered for their welfare and appreciation. For example, giving appreciation for employee performance. From evaluating employee performance, exact calculations are required, one of which uses AHP and Vikor methods. The result of this research showed usage method of vikor who assists in assessment has raised the of employee performance based on the criteria of which there are, Where criteria have been in appointed by the company and provision of weight of criteria with the methods ahp. From the results of the count it over with ahp drugs got when the the value of weighted criteria in accordance with the provisions fees for civil servant employees ahp with a value of The CR ≤ 0.1. This is done to explain the consistency of the weight of the criteria which had been assessed by the judges. Next, with Vikor method, obtained with the smallest value in the calculation of V = 0.5. from the results of the performed calculations to see stability calculation results with alternative methods of vikor 1 way obtained Value Q (2)-Q (1) ≥ DQ,. and obtained also for method 2 using the value V = 0.4 and value V = 0.6 and gained equality results ranked one and two. The result of the method of vikor expected can help decision-makers in determining the ranking of employees based on the best performance of employees.

COMPARISON OF DECISION TREE, NAÏVE BAYES, AND NEURAL NETWORK ALGORITHM FOR EARLY DETECTION OF DIABETES Wisti Dwi Septiani; Marlina Marlina
Jurnal Pilar Nusa Mandiri Vol 17 No 1 (2021): Publishing Period for March 2021
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i1.2213

Diabetes mellitus is included in the top 3 most deadly diseases in Indonesia. Based on WHO data in 2013, diabetes contributed 6.5% to the death of the Indonesian population. Diabetes is a chronic disease characterized by high blood sugar (glucose) levels that exceed normal limits. In the health sector, historical medical data can be processed to extract new information and can be used for decision-making processes such as disease prediction. This study aims to classify predictions for early detection of diabetes in order to obtain accurate results for decision making. The data used are historical data on hospital disease patients in Sylhet, Bangladesh in the form of a diabetes dataset from the UCI Repository. The algorithms used are Decision Tree, Naive Bayes, and Neural Network. Then the three methods are compared using the Rapidminer tools. The measurement results are 90% accuracy with Decision Tree, 80% with Naive Bayes, and 70% with Neural Network. So that the best algorithm is obtained, namely the Decision Tree for predicting early detection of diabetes. Rule in the form of a decision tree generated from the Decision Tree is used for input or ideas for decision making in the health sector for diabetes.

DECISION SUPPORT SYSTEM TO DETERMINE THE BEST ONLINE SHOP COLLEGE STUDENTS USING THE TOPSIS METHOD Marlina Marlina; Retno Sari
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Publishing Period for March 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2940

Internet users in Indonesia aged 16 to 64 years who access the internet on mobile phones as many as 195.3 million. In 2015 the number of online shops was 7.4 million people. Convenience and customer service today are key in improving an online shop. The number of online shop applications available for MSME has difficulty in determining the online shop to determine the right online shop in marketing products among students. The TOPSIS method is used as a method for decision-making because it has a simple and easy-to-understand the concept. This study has five criteria, namely product completeness, interface design, service response, delivery services, and transaction processes. And has 5 alternatives namely shopee, tokopedia, bukalapak, lazada and blibli. In this study obtained from the 5 alternatives, the online shop that is most in demand by students is shopee, this can be seen from the pretension value of 0.89.

Review Analisis Platform CICD dengan Metode Systematic Literature Review Rizqi Agung Permana; Sucitra Sahara; Marlina Marlina
Jurnal Teknik Komputer AMIK BSI Vol 9, No 1 (2023): JTK Periode Januari 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v9i1.13954

Abstrak - Banyak aplikasi yang dibentuk, mulai dari aplikasi mobile maupun berupa website. Selain itu adanya pandemi juga turut mendorong pertumbuhan iklim digital di segala sektor. Hampir setiap organisasi baik industri, pendidikan maupun pemerintahan terus berlomba untuk berinovasi menciptakan dan menggunakan teknologi digital. Fitur dan layanan aplikasi pun terus berkembang dan beradaptasi dengan experience pengguna. Perubahan atau release terhadap aplikasi pun di tuntut semakin cepat dan zero error. Proses deployment ke production server tersebut menjadi semakin sering dilakukan. Sehingga kebutuhan akan tools atau platform CICD sangat tinggi. Berdasarkan hasil penelitian analisis review terhadap jurnal scopus yang terbit antara tahun 2019 sampai 2021 yang memiliki peringkat di scimagojr Q1 sampai Q4 dengan keyword CICD dan /atau DevOps. Terdapat 6 paper yang menyebutkan platform Jenkins. Sedangkat jika keyword di rubah menjadi Jenkins dengan type journal terdapat 193 paper yang mencantumkan Jenkins. Kemudian untuk metode deployment rollout di pakai dalam 10 paper penelitian dan menjadi metode terbanyak yang di pakai. Sedangkan untuk arsitektur applikasi yang paling banyak di pakai adalah microservice dengan 20 paper.

Sistem Pendukung Keputusan Pemilihan Marketplace dengan Metode Simple Additive Weighting (SAW) Retno Sari; Marlina -
Evolusi : Jurnal Sains dan Manajemen Vol 11, No 1 (2023): Jurnal Evolusi 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v11i1.15410

Dengan pertumbuhan penggunaan internet di Indonesia mendukung pertumbuhan penggunaan Marketplace sebagai aplikasi berbelanja, didukung dengan factor kebiasaan aktivitas selama pandemic covid-19 yang melakukan aktifitas di dalam rumah. Pelaku usaha untuk meningkatkan penjualannya membutuhkan sebuah sistem pendukung keputusan untuk mengetahui Marketplace mana yang diminati. Sehingga dibutuhkan sistem pendukung keputusan dalam memutuskan. Metode Simple Additive Weighting (SAW) dinilai metode yang tepat dalam mendukung keputusan karena memiliki beberapa kelebihan. Pada penelitian ini terdiri dari 5 alternatif yaitu shopee, tokopedia, bukalapak, lazada dan blibli. Setelah dilakukan perhitungan dengan menggunakan metode Simple Additive Weighting (SAW) didapati shopee memiliki nilai prefensi 0.980 diikuti dengan tokopedia dengan nilai prefensi 0.973, diurutan ketiga lazada dengan nilai prefensi 0.934 lalu blibli dengan nilai prefensi 0.903 dan yang terakhir bukalapak dengan nilai prefensi 0.864. Disimpulkan dari penelitian ini shopee merupakan Marketplace yang paling diminati.

Hybrid Method dalam Menentukan Rekomendasi Penerima KIP Kuliah Wina Yusnaeni; Marlina Marlina
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 7 No 2 (2023): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Juni 2023)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/isbi.v7i2.2194

Indonesia Smart Card (KIP) College has been applied by the government in accordance with the instructions of the president where it is expected that with the Kip college students who are not able and graduated college will be able to continue to a higher level of Higher Education. In the selection of candidates for college KIP recipients, they are selected through several criteria ranging from parental work, a parental income, and others. In the selection system, inaccuracies are still founding for Kip college recipients, this is a discrepancy that is entitled and not entitled to receive Kip assistance. The importance of a decision support system that aims to facilitate decision-making. SPK method that can be used there are several methods one of which is a hybrid method. By using a hybrid method with the stages of calculation of the weight of the criteria to determine the consistency of the criteria and obtained an CR value of 0.08, this proves the weight of the criteria used are consistent. Furthermore, the data comparison of criteria and alternatives in the process that will produce data into two types, namely data recommendations Kip college recipients and non-recommendation data.

Hybrid Method dalam Menentukan Rekomendasi Penerima KIP Kuliah Wina Yusnaeni; Marlina Marlina
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 7 No 2 (2023): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Juni 2023)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/isbi.v7i2.2194

Indonesia Smart Card (KIP) College has been applied by the government in accordance with the instructions of the president where it is expected that with the Kip college students who are not able and graduated college will be able to continue to a higher level of Higher Education. In the selection of candidates for college KIP recipients, they are selected through several criteria ranging from parental work, a parental income, and others. In the selection system, inaccuracies are still founding for Kip college recipients, this is a discrepancy that is entitled and not entitled to receive Kip assistance. The importance of a decision support system that aims to facilitate decision-making. SPK method that can be used there are several methods one of which is a hybrid method. By using a hybrid method with the stages of calculation of the weight of the criteria to determine the consistency of the criteria and obtained an CR value of 0.08, this proves the weight of the criteria used are consistent. Furthermore, the data comparison of criteria and alternatives in the process that will produce data into two types, namely data recommendations Kip college recipients and non-recommendation data.

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