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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.021 KB) | DOI: 10.31294/ijse.v5i1.6177

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.38 KB) | DOI: 10.31294/jtk.v7i2.10512

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.399 KB) | DOI: 10.31294/jtk.v7i1.9058

Abstract

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.
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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.