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JURIKOM (Jurnal Riset Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 2407389X     EISSN : 27157393     DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,069 Documents
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Analisis Perbandingan Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Metode TOPSIS dan WASPAS Haida Dafitri; Nur Wulan; Hanna Ritonga
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4816

Abstract

In an effort to improve the quality of education for students as the nation's next generation, competent teachers are neded in providing education to students. The task of the teacher is to educate, teach, guide, direct, train, assess, and evaluate students. Decision support systems in the world of education are seen as important assets to support fluency and accuracy in achieving a goal. SD Negeri No. 101211 Aek Batang Paya does not yet have a decision support system to assist the principal in selecting the best teacher, manual decision making will result in an assessment that is not objective so it is not appropriate. Therefore, the authors designed a decision support system for comparative analysis between the two methods, namely the TOPSIS method and the WASPAS method with specified criteria. These two methods are compared to find out which method is more effective, easy and fast in the calculation process which is expected to help in determining the best teacher
Sistem Pengambilan Keputusan Kepuasan Pelanggan Bengkel Motor Berkah dengan Metode Simple Additive Weigthing Dedi Mahrizon
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.5018

Abstract

Berkah Motor Workshop is a form of service in motorcycle repair activities, both minor and major damage. Bengkel Berkah strives to provide the best service so that customers feel fast after getting the results of the repair services provided by the blessing workshop. Consumer satisfaction is the main factor in providing services and is able to provide satisfaction for every customer, so that every customer feels satisfied and happy with the services that have been provided. Simple Additive Weighting (SAW) method by finding the weighted sum of the performance of each alternative on all attributes. The final result of this research is a decision-making system in determining customer satisfaction from the results of the Berkah Motor Workshop in accordance with the highest value assessment of the resulting output. Determination of customer satisfaction can be assessed from 5 aspects, namely service, performance, results, responsibility and price. The highest output value is obtained with the highest value, namely 1 on behalf of R and the smallest value of 0.665 on behalf of consumers N and A. The decision-making system using the simple additive weighing method is able to solve problems regarding the assessment of consumer satisfaction in the decision-making system
Sistem Informasi Manajemen Keluhan Pelanggan Hotel Menggunakan Metode Waterfall Fauji Azwar Siregar; Muhammad Irwan Padli Nasution
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4986

Abstract

Hotel Grand Istana I Syariah Padangsidimpuan is a business entity engaged in services and services. The customer service proces starts from registration and then provides services to customers according to their needs. All information relating to hotel customers who have stayed is recorded in the book. From the results of interviews, obtained the problem that often occur to hotel customers are the lack of place to submit criticism, input and suggestions to the hotel management and also the absence of feedback from hotel management to customers regarding the criticism, input and suggestion submitted. For this reason, in overcoming the problems that accur in the hotel, an information system development is carried out related to te problems that occur. Where this information system uses the waterfall methode and analysisi system used is data collection adan interviews. The implementation of this system will use PHP As programming language and MySQL as the database. The purpose of making this information system later is that customers will have a place to convey criticism, input and suggestions to hotel management and will alaso make it easier for hotel to provide information to customers so that hotel customers can increase their loyalty to the Grand Istana I Syariah Padangsidjmpuan Hotel
Peramalan Jumlah Produksi Tebu Menggunakan Metode Time Series Model Moving Averages Nabila Azahra; Salsabila Cahya Alifia; Nevandra Putra Andyka; Sena Wijayanto; M Yoka Fathoni
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4388

Abstract

Plantation is all activities that use certain and specific plants with soil or other parts of plants in adapted ecosystems. Other plantation activities also include processing and marketing of these crops. In the plantation sub-sector, sugar cane is an important plantation and national economic development strategy and contributes significantly to the plantation sub-sector. Sugarcane is a plantation crop that is widely grown in Indonesia, such as in Java, North and South Sumatra. One of the sugarcane producing areas in Purworejo Regency is Loano District. There are many sugar factories scattered throughout the sugar cane development area and the leading sugarcane plants are in Purworejo Regency. The purpose of this research is to predict production to meet market demand using the Time Series method with the Moving Average model. This study uses a Moving Average model consisting of: Single Moving Average (SMA) and Weighted Moving Average (WMA) with forecasting accuracy using Mean Square Error (MSE) and Mean Absolute Error (MAE) as the selection of the best model to be used for forecasting. From this study, the results of forecasting the amount of sugarcane production in Loano District for the next 4 periods, after 2015 from the WMA model, are: 113,91 ton; 135,62 ton; 101,96 ton; and 89,88 ton. The best model result is the Weighted Moving Average (WMA) model with the smallest forecasting accuracy value, namely the MSE value of 1.833,07 and the MAE of 36,07.
Analisis Sentimen Ulasan Pengguna Aplikasi Myim3 Pada Situs Google Play Menggunakan Support Vector Machine Piqih Aditiya; Ultach Enri; Iqbal Maulana
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4673

Abstract

Technological developments are increasingly rapid, this makes it easier to communicate information and shopping transactions, one of the innovations that are being adopted is digital services, such as self-service. One of the self-services is myim3 which is a product of PT Indosat Ooredoo Hutchison as an internet network service provider company, with the increasing number of users of the application, many opinions or public sentiments are shared in the comments or reviews column, therefore it is necessary to analyze this MyIM3 application review to find out public opinion about the application. The review data is obtained from the Google Play website which is retrieved using the scraping method with the help of 3rd party libraries in python. The amount of data obtained in this study was 3484 data. Experts assist in data labeling to determine positive and negative. In the preprocessing stage, the data is cleaned to reduce the less influential attributes. In the next stage, perform the transformation process with TF-IDF. The classification process is divided into several scenarios with the algorithm used as a support vector machine with 2 kernels, linear and RBF. The best results are in the scenario (70:30) for the linear kernel with 87% accuracy and the scenario (90:10) with 87% accuracy in the RBF kernel. The classification process produces the most frequently occurring words in each sentiment class which is visualized with a word cloud. The word "good" is the most dominant in the positive review data, while the word "network" is the most dominant in the harmful review data of the MyIM3 application
Perbandingan Metode Pieces Dan System Usability Scale Untuk Menganalisa Kepuasan Pengguna Pada Sistem Penyewaan Mobil Berbasis Android Rima Tamara Aldisa; Erwin Samudra; Rossa Sahara
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4705

Abstract

The research aims to build a car rental information system aimed at consumers who want to rent a car. With this system, car rental is more efficient and makes it easier to find out how satisfied and comfortable consumers are. This system is made using the Pieces method, with measurements of 6 aspects or variables, namely from the aspects of Performance, Information, Economics, Control, Effeciency, Service. The results of the Pieces analysis show the measurement of the level of user satisfaction. The System Usability Scale method or abbreviated as SUS here is an estimate to facilitate measurement and SUS has several appropriate questions. This system aims for consumers who are looking for an android-based car rental to analyze user satisfaction with the discount method which produces a value of 3,845 which is average and satisfactory, with a comparison of the SUS method getting an average value of 72 it can be said to be the same as the discount method, which is satisfactory. So it can be said that the users of the system here, namely consumers of car rentals, are satisfied with the system that has been designed based on Android
Pengujian Model Pengaruh Tata Kelola TI Terhadap Transformasi Digital dan Kinerja Asuransi B Rizka Putri Wahyuni; Rahmat Mulyana; Lukman Abdurrahman
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4840

Abstract

The emergence of emerging technology disruptions, changes in stakeholder behavior towards digital, coupled with the Covid-19 pandemic has forced various incumbent organizations to transform digitally (TD). There are still many investments related to TD that fail to achieve the expected expectations due to the alleged lack of good governance implementation. Previous studies have examined the significant role of information technology (IT) on organizational performance. However, it is suspected that traditional IT Governance (TKTI) practices are not necessarily effective in the digital era. Only a few have examined the effect of IT governance (TKTI) on TD, and no one has examined the effect of TD on organizational performance (KO). Therefore, this study aimed to validate the effect of hybrid TKTI mechanisms (traditional and agile/adaptive) on TD, as well as the effect of TD on knockouts and their performance achievements through a balanced scorecard (BSC) perspective. The research method used is a survey by distributing Likert-scale online questionnaires to 11 roles related to BP in Asuransi B and succeeded in getting 50 relevant respondents. Data from the results of filling out the questionnaire were analyzed with the help of SmartPLS 3.0 tools. The test is carried out using Structural Equation Modeling (SEM) with a formative model, in the form of testing the inner model and outer model. The test results of this study indicate that both traditional and agile/adaptive TKTI mechanisms have a significant positive effect on BP. Then TD also proved to have a significant positive effect on KO. This research contributes to the knowledge base for further research on related topics, and can be an implementation reference to oversee the success of TD for practitioners, especially in the context of the insurance industry
Analisis Kualitatif Pengaruh Tata Kelola TI Terhadap Transformasi Digital dan Kinerja: Studi Kasus Asuransi A Uli Artha; Rahmat Mulyana; Luthfi Ramadani
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4878

Abstract

The emergence of digital technology, innovation competition and government regulations Making BUMN 4.0 disrupt incumbent organizations must carry out digital transformation (DT). It turns out that many of TD's efforts fail to live up to expectations due to poor governance. Previous studies have proven the role of IT governance (ITG). Unfortunately, there are still few studies exploring the mechanism of hybrid ITG that affects DT and organizational performance (OP). Therefore, we propose a research question about how the 46 ITG mechanisms affect DT and OP in the Indonesian insurance industry. Insurance A was chosen because there is a strategic direction for TD acceleration as the basis for digitization. Case study method with qualitative data collection through semi-structured interviews and thematic analysis. This study resulted in 4 themes, 19 sub-themes, and 60 codes and succeeded in demonstrating the mechanism of hybrid ITG that affects DT and the dimensions of DT that affect the achievement of knockout targets through the perspective of BSC in the insurance industry. This research is expected to be a reference for further research as well as an implementation reference to oversee the journey of DT, especially in the insurance industry
Klasifikasi Penjualan berdasarkan Platform pada UMKM Omah Branded Menggunakan Random Forest Rindiyani Rindiyani; Ardhin Primadewi; Maimunah Maimunah; Annisa Hakim Purwantini
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4949

Abstract

UMKM have a role in development growth to increase state income. Omah Branded which is an UMKM in the Fashion category from small children to adults in the Mungkid area, Magelang Regency, Indonesia. Currently the resulting sales transaction data has not been used to classify or classify sales products based on the sales platform that can affect the revenue of the Branded Omah. Selling products on online platforms is often referred to as digital marketing. It has become widespread and widely applied in Indonesia due to the development of the internet and changing consumers. Easy internet access using wifi or gadgets makes it easier for people to access information about a product or service they are looking for. One of the data mining for classification is the Random Forest Algorithm. The Random Forest algorithm has a random selection in generating child nodes for each node (top node), the classification of each tree is accumulated and the classification results that appear frequently can improve accuracy. In this study, by classifying Omah Branded sales data based on the sales platform using the random forest method, it is hoped that the results of this study can be used as a development solution for taking Omah Branded marketing strategies. The accuracy value using the Random Forest classification on the sales data of this Omah Branded product produces an accuracy of 92% based on the results of the confusion matrix calculation.
Penerapan Algoritma Support Vector Machine Pada Analisis Sentimen Hashtag Twitter Rusydi Umar; Sunardi Sunardi; Muhammad Nur Ardhiansyah
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4877

Abstract

The development of the creative industry in Indonesia is marked by the emergence of content creators such as YouTubers and celebrities. With the emergence of content creators, people in these professions must be more creative and come up with new things in accordance with community trends in accordance with applicable laws in Indonesia. Twitter is one of the social media that can be used to share online and provide information in accordance with the prevailing trends in society. Hashtags or hashtags on Twitter are often used by users to add comments so that when the hashtag is used a lot it will become a trending topic. By analyzing sentiment on trending topics, positive and negative tendencies will be obtained that can help the content creator profession to create content. This study uses the Support Vector Machine (SVM) method to conduct a sentiment analysis process about the twitter hashtag. The data used is hashtag data on twitter. The data that has been obtained is then carried out by text preprocessing, then weighting, and finally sentiment analysis using SVM. This study uses tweet data taken on October 29, 2022 as many as 21 data, namely “BeliPulsaDiGrab” which has two sentiment classes, namely positive sentiment as much as 99% and negative 1% data

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