Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

Jurnal Ilmiah Sinus

e-jurnal_SINUS
Website

Published by STMIK Sinar Nusantara Surakarta

ISSN : 16931173 EISSN : 25484028 DOI : http://dx.doi.org/10.30646/sinus

Core Subject : Science,

Computer Science & IT

Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information technology.

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 7 Documents

Search results for , issue "Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020" : 7 Documents clear

D&M IS Success Model dan WebQual 4.0 pada Siakad Online STMIK Sinar Nusantara Surakarta Yovita Kinanti Kumarahadi; Wing Wahyu Winarno; Mei Parwanto Kurniawan
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

Decision making must be accompanied by a strong foundation in which knows the net benefits felt by the system user. This study aims to determine the effect of variables on the D&M IS Success Model and WebQual 4.0 in Siakad Online STMIK Sinar Nusantara Surakarta. This research used quantitative method with a questionnaire as a data collection tool. The results show that the research indicators and combination models get significant results. The indicator of research has a significant effect on the combination model. D&M Model IS Success Model and WebQual 4.0 have significance value of 90% and R2 of 84%. It means information quality, system quality, service quality, and website qualityhave significance effects to Siakad Online intention to use and SiakadOnline’s user satisfaction. Then, intention to use and user satisfaction have significance effects to SiakadOnline’s user net benefits. Thus, this combination model is able to describe the relationship between indicators well. Suggestion that can be considered for future research is the addition of other external variables, such as gender.

Penerapan Metode Analytical Hierarchy Process Dan Technique for Order Preference by Similarity to Ideal Solution Sebagai Pendukung Keputusan Dalam Menentukan Kenaikan Jabatan Bagi Guru Sri Siswanti; Fatwa Lingga Wrehatnala; Andriani Kusumaningrum
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

Thesis report entitled “Application of AHP and TOPSIS Method as Decision Support System in Determining Position Promotion for Teachers of Vocational High School in Surakarta” is based on research by the author carried out located in Jl. Dr. Wahidin 33 Surakarta on 28 September 2018 – 6 Agustus 2019. The purpose of this paper is to make Application of AHP and TOPSIS Method as Decision Support System in Determining Position Promotion for Teachers of Vocational High School in Surakarta to integrate the selection of recipients in order to avoid manipulation of the data in the provision of accurate decisions. Data collection was conducted by the author uses descriptive method that includes field studies and literature. Field studies were conducted are interviews with the Vocational High School related problems. While the literature study is useful to get a theoretical basis in the form of expert opinion on matters which is the object of research. It is also used to assist writers in the execution of a research report by the author. The result of the manufacturing Application of AHP and TOPSIS Method as Decision Support System in Determining Position Promotion for Teachers of Vocational High School Surakarta consists of input data including teachers data, criteria data, the data classifications, and data input analysis. The results of position promotions for teachers on Vocational High School Surakarta was given to best alternative with score of 88.12, while on using with AHP and TOPSIS method was given to best alternative with score of 0.7238.

Sistem Pendukung Keputusan Untuk Pemilihan Siswa Berprestasi Dengan Metode Analytical Hierarchy Process (AHP) Dan Technique For Order Of Preference By Similarity To Ideal Solution (TOPSIS) Akhmad Luthfi Rahman; Muhammad Hasbi; Setiyowati Setiyowati
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

SMA Negeri 7 Surakarta in an effort to improve student achievement by giving rewards to students who have the best performance. The selection process for SMA N 7 still uses a manual process so it is not objective, and takes a long time.So we need an application that can support the process of selecting high achieving students in SMA N 7 Surakarta, an application that can help to make decisions about the selection of high achieving students by changing the value of standard criteria into numbers. Then the right method is the AHP (Analytical Hierarchy Process) Method while for ranking with the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method. Because this method is able to produce effective, objective and efficient decisions. The system development uses the waterfall model, the system design used is object oriented approach, Use Case Diagram, Activitv, Squence Diagram, Class Diagram. The programming languages used are PHP and MySQL. Supporting software used is Notepad ++ and XAMPP as a virtual server. Testing programs using BlackBox Testing. The results of this study are Student Achievement Decision Application with the calculation of Analytical Hierarchy Process and Technique For Order Of Preference By Similarity To Ideal Solution methods.

Analisis Penyalahgunaan Data Pribadi Dalam Aplikasi Fintech Ilegal Dengan Metode Hibrid Hendro Wijayanto; Abdul Haris Muhammad; Dedy Hariyadi
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

Penetration of internet usage in Indonesia has increased by 10.12% from 2017 to 2018. This has led to very rapid technological growth, such as the growth of online loan services or Financial Technology (Fintech). This condition makes the emergence of illegal fintech services built by certain groups to reap profits. Illegal fintech service providers stand building applications with a lot of personal data requested at registration. Starting from personal data, family, work up to banking are accompanied by photo evidence and contact numbers. Hybrid analysis is needed to see the extent in which the fintech application treats customer data. In this technique, there are static analysis and dynamic analysis. Static analysis is used to see the extent in which the fintech application runs on Smartphone devices with required data and other policies. Dynamic analysis is used to view the activity of tiles and permissions of fintech applications from source code, malware analysis, and permission analysis. Hybrid analysis results show that all fintech applications have a huge potential for misuse of customer's personal data. This is indicated by the existence of a data collection URL that can be accessed by the public, there are malware activities, READ_PHONE_STATE and READ_CONTACS permissions so that fintech application providers freely monitor all contact activities, locations on the customer's Smartphone. The results of the analysis can be used to recommend fintech service users to be careful of fintech applications. Moreover, it can be used as a reference for making illegal fintech detection frameworks.

Penerapan Sistem Penunjang Keputusan Menggunakan Algoritma Naive Bayes Pada konsep Human Resource Information System (HRIS) (Studi kasus :Penerusan Kontrak Kerja Karyawan di PT. XYZ) Dwi Remawati; Paulus Harsadi; Ruvyanto Dwi Nugroho
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

One of the valuable assets in a company is human resources (HR). Human Resource Information System (HRIS) has emerged as one of the drivers of competitiveadvantage and strategic decision making tool. One of the HRIS task is employee recruitment. Employees become an important role. Therefore, this research is conducted forclassification of employee status determination using the Naïve Bayes methods. One of the duties of employees is to provide service to customer in the process of purchasing goods until the payment transaction process directly. Because of the large number of contract employees at the time of certain events, it requires companies to select every three months for the continuation of the work contract period for employees according to store needs so that the company's employee payroll expenses do not exceed the budget. One of the criteria is for being able to work in flexible groups between the ages of 17 and 25 for contract employees with a minimum of high school or vocational education. The purposes of this study are to design and build a Decision Support System application for the Continuation of Employee Employment Contracts Using the Naïve Bayes Method at PT. XYZ Retail. The result of the research is the application using the naïve bayes method with an accuracy rate of 90%.

Sistem Pendukung Keputusan Pemberian Reward Pegawai Menggunakan Metode TOPSIS Aisyah Mutia Dawis
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

Every company has management providing wages or rewards to employees. This is because employees are one of the resources that are used as a driving force in advancing a company. Besides, many companies provide rewards to their employees with the aim of motivating employees to help more. There is management problem in PKU Muhammadiyah Gamping Hospital for determining the number of rewards obtained by employees because many variables are determined. Therefore, the need of management information system can facilitate the Management of the PKU Muhammadiyah Gamping Hospital in determining decision making for providing rewards. One method that is often used in implementing decision support systems is Multiple Attribute Decision Making (MADM), focusing TOPSIS (Technique for Order Preference with Similarities to Ideal Solutions). By the implementation of the decision support system, PKU Muhammadiyah Gamping Hospital can carry out the selection process more efficiently.The test results by matching the employee data results at PKU Muhammadiyah Hospital obtained 95.83% accuracy so that this system can help the PKU Muhammadiyah Hospital in determining employee rewards.

Penerapan Agglomerative Hierarchical Clustering Untuk Segmentasi Pelanggan Widyawati Widyawati; Wawan Laksito Yuly Saptomo; Yustina Retno Wahyu Utami
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

As more businesses emerge, companies need to have the right marketing strategy to provide the best service to customers. The first step is to know the type of customer and make appropriate marketing strategies according to the type of customer. In this research, it is proposed for clustering customers so that an appropriate strategy for that customer group can be determined. The method used for cluster formation uses Agglomerative Hierarchical Clustering with Average Linkage approach and distance determination using Manhattan Distance. The variables in this research are Recency, Frequency, and Monetary (RFM). The results of testing using the Silhouette coefficient show that the results of 7 clusters are the best results when compared with 2 clusters up to 20 clusters because they have the smallest minus value. Based on the results of the Silhoutte coefficient, customer segmentation uses 7 clusters with each cluster representing the existing customer type.

Page 1 of 1 | Total Record : 7

Filter by Year

2020 2020

Filter By Issues

All Issue Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023 Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023 Vol 20, No 2 (2022): Vol. 20 No. 2 Juli 2022 Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022 Vol 19, No 2 (2021): Vol. 19 No. 2, Juli 2021 Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021 Vol 18, No 2 (2020): Vol. 18, No. 2, Juli 2020 Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020 Vol 17, No 2 (2019): Vol. 17 No. 2, Juli 2019 Vol 17, No 1 (2019): Vol. 17 No. 1 Januari 2019 Vol 16, No 2 (2018): Juli 2018 Vol 16, No 1 (2018): Januari 2018 Vol 15, No 2 (2017): Juli 2017 Vol 15, No 1 (2017): Januari 2017 Vol 14, No 2 (2016): Juli 2016 Vol 14, No 1 (2016): Maret 2016 Vol 13, No 2 (2015): Juli 2015 Vol 13, No 1 (2015): Maret 2015 Vol 12, No 2 (2014): Juli 2014 Vol 12, No 1 (2014): Maret 2014 Vol 11, No 2 (2013): Juli 2013 Vol 11, No 1 (2013): Maret 2013 Vol 10, No 2 (2012): Juli 2012 Vol 10, No 1 (2012): Maret 2012 Vol 9, No 2 (2011): Juli 2011 Vol 9, No 1 (2011): maret 2011 Vol 8, No 2 (2010): Juli 2010 Vol 8, No 1 (2010): Maret 2010 Vol 7, No 2 (2009): Juli 2009 Vol 7, No 1 (2009): Maret 2009 Vol 6, No 2 (2008): Juli 2008 Vol 6, No 1 (2008): Maret 2008 Vol 5, No 2 (2007): Juli 2007 Vol 5, No 1 (2007): Maret 2007 Vol 4, No 2 (2006): Juli 2006 Vol 4, No 1 (2006): Maret 2006 Vol 2, No 2 (2004): Juli 2004 More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Teguh Susyanto

Contact Email
teguh@sinus.ac.id

Phone
+62271-716500

Journal Mail Official
mhasbi@sinus.ac.id

Editorial Address
KH Samanhudi 84-86, Laweyan, Surakarta, 57142

Location
Kota surakarta,

Jawa tengah

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Teguh Susyanto

Contact Email teguh@sinus.ac.id

Phone +62271-716500

Journal Mail Official mhasbi@sinus.ac.id

Editorial Address KH Samanhudi 84-86, Laweyan, Surakarta, 57142

Location Kota surakarta, Jawa tengah INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Teguh Susyanto

Contact Email
teguh@sinus.ac.id

Phone
+62271-716500

Journal Mail Official
mhasbi@sinus.ac.id

Editorial Address
KH Samanhudi 84-86, Laweyan, Surakarta, 57142

Location
Kota surakarta,

Jawa tengah

INDONESIA