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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer JURNAL MEDIA INFORMATIKA BUDIDARMA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Jurnal Janitra Informatika dan Sistem Informasi BEES: Bulletin of Electrical and Electronics Engineering Bulletin of Data Science JOMLAI: Journal of Machine Learning and Artificial Intelligence Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Winanjaya, Riki
STIKOM Tunas Bangsa Pematangsiantar, Indonesia
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Analisa Metode Profile Matching Pada Pemilihan Susu Rendah Lemak Berdasarkan Konsumen Sari, Hanifah Urbach; Windarto, Agus Perdana; Winanjaya, Riki; Hartama, Dedy; Damanik, Irfan Sudahri
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2590

Abstract

Milk is a source of nutrition for humans, especially in infants who cannot digest food. Milk has a high calcium content and can strengthen human bones. This study aims to recommend low-fat milk as a recommendation to consumers to determine the right milk product. Data collection methods used were interview techniques and questionnaire random sampling to 60 respondents who used low-fat milk at STIKOM Tunas BangsaPematangsiantar. Based on the results of interviews and questionnaires, the assessment criteria were obtained, namely price (K1), side effects (K2), packaging (K3), and availability of goods (K4). The alternatives used in the study were Ultra Milk Low Fat (S1), Bear Brand Gold (S2), Frisian Flag (S3) and Hilo Teen (S4). The settlement method applied is POFILE MATCHING. The results of the algorithm show that the right alternative is for the highest ranking Hilo Teen (S4) with a final score of 88.95 and followed by Ultra Milk Low Fat (S1) with a final score of 86.325. The results of the study are expected to provide recommendations to consumers to determine the right low-fat milk.Keywords: Milk, Nutrition, Profile Matching, Decision Suport System, Product Selection
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PREWEDDING MENGGUNAKAN METODE WEIGHT PRODUCT Syahputra, Muhammad Riza; Winanjaya, Riki; Okprana, Harly
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1680

Abstract

Marriage is the most awaited moment for everyone. Prawdding is an important thing to do before a wedding. Because prewedding photos become the latest trend for photos that will be displayed during the wedding. But in a lot of prewedding photos brides who are not satisfied with the results of these prewedding photos. This system can facilitate the bride and groom in choosing the location of prawedding photos without the need to meet in person to consult. This decision making system is made using the Weight Product method and is made with the php programming language and MySQL database. The WP method is used to find optimal alternatives from a number of alternatives. The selection of the location of the prewedding photo uses weighting for each criterion. The bride and groom can choose the desired location based on criteria such as the number of spots, themes, location distance, number of shoots with weights determined by the user based on the level of importance. The results of this system are displaying praweding locations based on the location of prawedding photos that can be ordered by the bride and groom. The selection of prewedding photo locations can be done optimally so that the results of the decision are as expected.Keywords: Decision Support System, Prewedding Location, Product Weight
Penerapan Algoritma K-Means Dalam Pengelompokan Rasio Angka Partisipasi Kasar di Tingkat Pendidikan Perguruan Tinggi Menurut Provinsi Simanjorang, Fernandi; Winanjaya, Riki; Rizki, Fitri
TIN: Terapan Informatika Nusantara Vol 2 No 7 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The Ratio of Gross Participation Rate of Education is a very important role holder in the development of the nation and state, because that's where the intelligence and ability and even the character of the nation in the future is determined by education at this time. This study discusses the grouping of the number of ratios of gross participation rates by province in Indonesia. The method used is datamining with the K-means clustering algorithm. Using this method the data obtained can be grouped into 3 clusters. This study uses secondary data that is data obtained through intermediary media recorded on the website of the central statistics agency with the url address: http://www.bps.go.id. The results obtained in this study are the grouping of the ratio of gross participation rates of education grouped into 3 clusters, namely the highest cluster and the lowest cluster. In this study is expected to provide input to the relevant government, in order to pay more attention to the provinces that are included in the lowest cluster to overcome the level of quality of universities
Implementasi Metode Decision Tree Pada Tingkat Prestasi Belajar Siswa di SMK Swasta Anak Bangsa Nurhayati Nurhayati; Saifullah Saifullah; Riki Winanjaya
BEES: Bulletin of Electrical and Electronics Engineering Vol 1 No 3 (2021): Maret 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Data Mining is a series of processes to explore added value in the form of knowledge that has not been known manually from a data set. This grouping aims to determine the level of student success in the learning process that has been carried out. The approach used is quantitative. The subjects of this grouping are Class X (Ten) Academic Years 2018 to 2020. The data collection technique used is the learning outcome test. This grouping is done using Data Mining Rapid Miner 5.3 software, where the results will prove that the results of the evaluation of learning achievement are carried out by applying the C4.5 Algorithm. The results obtained are an accuracy value of 71.43%, meaning that the resulting rule is close to 100% correctness. Where the results of the Class Achieving precision label is 63.89% and the label Not Achieving is 92.31%. In accordance with these provisions, the results of manual calculations with Rapid Miner testing produce 11 models of rules or rules for Student
Identifikasi Mahasiswa Berprestasi Menggunakan Algoritma Backpropagation Riki Winanjaya
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 1 No. 2 (2020): RESOLUSI Nopember 2020
Publisher : STMIK Budi Darma

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Abstract

Determination of performance students requires a gradual process. To speed up the process of determining performance students, the Artificial Neural Network method was used. The method used is Backpropagation on student data on AMIK Tunas Bangsa Pematangsiantar. This research produced five architectural models, they are 5-5-1, 5-6-1, 5-7-1, 5-8-1, 5-9-1 and 5-10-1 with models 5-5-1 the best in accelerating the process of determining performance students. So that this architectural model is best to be used to determine the better performance students
Penerapan Algoritma C4.5 Dalam Klasifikasi Kualitas Sayur Kol Di Kabupaten Simalungun Mhd Wendico Herdian; Riki Winanjaya; Susiani
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 3 (2022): RESOLUSI Januari 2022
Publisher : STMIK Budi Darma

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Abstract

Cabbage is an annual plant or more in the form of a shrub. One of the centers for cabbage production is in Simalungun Regency, Ancient District. Cabbage has good demand prospects. However, erratic weather factors and plant pests that threaten to make the quality of cabbage vegetables are not good so that the impact on farmers' income is uncertain. In determining the appropriate and unfeasible cabbage, the Datamining Method with the C4.5 Algorithm is used. The C4.5 algorithm can provide a decision tree that is easy to interpret and has good accuracy so that the results obtained are expected to be input and help the agricultural office and farmers to determine the quality of cabbage vegetables that are good according to the target market. Become a reference for further research related to the users of the C4.5 Algorithm.
Analisis Data Mining Menentukan Penerima Bantuan Langsung Tunai pada Desa Pamatang Purba dengan Algoritma C 4.5 Rajes Wasimson Sinaga; Riki Winanjaya; S Susianti
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 3, No 1 (2021): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v3i1.86

Abstract

In tackling the problem of poverty, the Government implements a cash direct assistance program (BLT) which is a program that provides cash assistance (subsidies) to poor households if they meet the requirements set out in the program. The purpose of this study is to determine whether the family is still eligible or does not receive direct cash assistance (BLT), where there are still many other poor families who have not had the opportunity to receive this assistance program. Data source obtained from The Office of Lurah Pamatang Purba. The method used in the study was data mining technique with C4.5algorithm that was impelemented with RapidMiner application. The attributes used in determining the eligibility of the family are still eligible or do not receive assistance in this assistance program, namely income, age, marital status, employment, recipients of Bansos, bpjs recipients. The results of the classification using the C4.5 algorithm and testing with softwareRapidMiner is the most influential factor in the eligibility of recipients of the direct cash assistance program (BLT)
PENERAPAN DATA MINING ASOSIASI PADA PERSEDIAAN OBAT Elischa Febrivani; Saifullah; Riki Winanjaya
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 4 No. 1 (2021): Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v4i1.141

Abstract

Drug stock shortages or vacancies at a hospital will have a very bad impact on the success and smoothness of drug delivery transactions, the cause of a drug stock vacancy is the absence of information conveyed from the pharmaceutical installation to the supplier of the drug supplier. To prevent this, we need a system that can help suppliers of goods in order to know about the availability of drugs in pharmaceutical installations. Based on drug transaction data, this system is built using the Association method with Apriori algorithm which is a technique in data mining to find associative rules of combination between itemset. The calculation is done by determining support and confidence that will result in association rules, which can be used to determine what drug stocks are needed to prevent a drug stock gap.
Analisis Tingkat Kepuasan Pelanggan dengan Menerapkan Algoritma C4.5 Reza Fauzy; Riki Winanjaya; Susiani
Bulletin of Computer Science Research Vol. 2 No. 2 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v2i2.162

Abstract

Furniture is currently a secondary item that is quite needed among the community to support their daily activities. In its use, furniture becomes an item that really helps human activities in their daily lives. But now furniture marketing is not only in terms of use, but now people have their own assessment of the aesthetic value of a furniture. So this is a demand for furniture business people to make variations on each product to be marketed. Customer satisfaction is one of the most important things in assessing the level of service provided by the company to its customers. The purpose of this study was to determine the level of satisfaction of CV. Karinda customers. at the company CV. This aspect of Karinda has not been measured, so CV. Karinda finds it difficult to determine which aspects must be improved. The method used in this study is the C 4.5 algorithm, where the data source used is a questionnaire/questionnaire technique given to CV. Karinda customers. the process of testing this research using RapidMinner software to create a decision tree. From the results of the analysis is expected to improve the company's performance in providing services to customers CV. Karinda to be better
Penerapan Data Mining dengan Algoritma C.45 Dalam Memprediksi Penjualan Tempe Yusuf Maulana; Riki Winanjaya; Fitri Rizki
Bulletin of Computer Science Research Vol. 2 No. 2 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v2i2.163

Abstract

Many people talk about business, benefits of business and the many different types of businesses that definitely have one purpose, financial profit or profit. With so many types of business as well as the benefits that can be taken from business, often we definitely feel we feel quickly to pave in the world of business to get profit or more specifically is income. One example of business is selling tempe. Sales is the activity of selling a product or service that needs business authorities or business acknowledgments of a kind of business selling tempe at mandiri ac. In selling of course we have a very many collection of sales information why we should be able to digest the sales information to become new data. In this issue the c4.5 algorithm is a procedure that can help digest or predicate the value of sales at the time to arrive. This research was tested in order to help sellers to predict the sales of their merchantability so that they can prepare or stock materials which is predicted to face an increase in their sales at the time of getting the information between supplied information. From this research can be conclusioned if using the c4.5 algorithm the sales of tempe can be predicted with a quite high accuracy
Co-Authors Agus Perdana Windarto Agus Tiranda Sipayung Diana Pratiwi Elischa Febrivani Fadillah Alwi Pambudi Fitri Anggraini, Fitri Fitri Rizki GS , Achmad Daengs GS, Acmad Daengs Harliana Harliana Hartama, Dedy Hendry Qurniawan Hendry Qurniawan Indra Riyana Rahadjeng Irawan Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Joko Pamungkas Josua Fernando Simanjuntak M Safii Mhd Wendico Herdian Muhammad Fauzan Muhammad Safii Nugroho, Muhammad Rizky Tri Nurhayati Nurhayati Okprana, Harly Putri Mai Sarah Tarigan Putri Mai Sarah Tarigan Qurniawan, Hendry Rajes Wasimson Sinaga Reza Fauzy Rizki, Fitri Rizky Khairunnisa Sormin S Saifullah S Susianti Safii, M Saifullah Saifullah Saifullah Sanri Sunervia Yunika Damanik Sari, Hanifah Urbach Simanjorang, Fernandi Susiani Susiani Susiani Susiani, Susiani Syahputra, Muhammad Syahputra, Muhammad Riza Tarigan, Putri Mai Sarah Wanto, Anjar Wendi Robiansyah Yuni Radana Sembiring Yusuf Maulana Zulia Almaida Siregar