Garuda - Garba Rujukan Digital

Implementasi Data Mining Dengan Metode FP-Growth Terhadap Data Penjualan Barang Sebagai Strategi Penjualan Pada CV. A & A Copier Anandi Ayu; Agus Perdana Windarto; Dedi Suhendro
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 2 (2021): RESOLUSI November 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar

If the seller wants to increase sales, the diversity of consumers will undoubtedly be an impediment in selecting the product to be purchased. Another issue is that vendors/decision makers struggle to select products to be re-marketed in accordance with the diversity of consumers. It is necessary to process sales data in the form of goods transactions in order to generate useful information that can be used to determine the best strategy for increasing sales. The study's goal is to analyze the FP-Growth algorithm on data sales of goods in order to make recommendations in providing sales packages for consumers as a sales strategy at CV. A & A. Data sources gathered through direct observations and interviews with the CV. A & A Copier Pematangsiantar Store. The FP-Growth algorithm is employed. RapidMiner software is used in the analysis process. 5 rules were generated from 50 transaction data records using the Market Basket Analysis application on FP-Growth on data on sales of goods, with a minimum support value of 0.4 (40 percent) and confidence of 0.95 (95 percent ). It is hoped that the research findings will provide benefits in the form of information that will assist sellers (the Stores) in selecting the best product marketing strategy to increase sales..

Pelatihan Penyusunan Kas Kecil (Petty Cash) Menggunakan Metode Imprest dan Fluktuasi untuk Meningkatkan Pembelajaran Dedi Suhendro; Agus Perdana Windarto; Anjar Wanto
JPM: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Petty cash includes a number of funds specially formed for routine and relatively small expenses. Petty cash is used to mark relatively small management expenses such as purchasing office stationery, consumption funds for meeting purposes. As a person who is trusted by the leadership to manage petty cash, he must be able to organize and plan petty cash funds and make financial records that are re-booked by the company's finance department using the imprest and fluctuation methods. Many students still do not understand how and techniques to prepare petty cash using the imprest and fluctuation methods, therefore the training for preparing petty cash using the imprest and fluctuation method is very important for students of SMK Satrya Budi 2 Simalungun Regency Trade in order to face the Expertise Competency Test (UKK) and National Examination (UN) so that students can work on exam questions quickly and accurately. After participating in this training, it is hoped that the students of SMK Satrya Budi 2 Trading, Simalungun Regency can gain insight and knowledge about the methods and techniques for compiling petty cash bookkeeping, completing exam questions quickly and accurately in accordance with the allotted time. and the pass rate reaches 100%.

Penerapan Algoritma K-Means Dalam Mengelompokkan Rata-Rata Konsumsi Kalori Menurut Provinsi Juwitha Lovely Sweets Sinaga; S Solikhun; Dedi Suhendro
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.272

Calories are a source of energy that we get from food intake that contains nutrients and as a basic human need for humans to survive. The number of people who consume excessive calories and do not pay attention to the amount of calorie intake that is consumed will result in the emergence of various diseases that are bad for health. In this case the government does not have information about the data on the average calorie consumption per province by province. The purpose of this study is to determine the highest and lowest clusters, for that the authors use Data Mining with the K-Means Algorithm to classify Average Calorie Consumption per day by province. This test is carried out using RapidMiner software. The results were obtained from the average grouping of calorie consumption grouped by two clusters: high and low clusters, high clusters of 13 provinces and low clusters of 21 provinces. Provinces that are classified as low clusters are expected to be a contribution for the Indonesian government for decision making in an effort to maintain a balanced consumption of calories per day and create a healthy lifestyle program in the future.

Penerapan Algoritma K-Means dalam Proses Clustering Penilaian Kinerja Aparatur Sipil Negera di Sekretariat DPRD Pematangsiantar Della Aulia; M Safii; Dedi Suhendro
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.270

This study discusses the assessment of the performance of the ASN (State Civil Apparatus) in the Pematangsiantar DPRD Secretariat based on the quality of its work. In carrying out their performance, emoployess are still often truant and have a poor work ethic.In this case the research aims to improve employee welfare. During this time the amount of employee income is only based on the group and position they have. This study uses the K-Means method to classify or classify employee performance quality assessments based on SKP (employee work objectives) with additional income based on work quality assessment and employee behavior.After conducting this research there is a result that in carrying out the performance of employees include Quality, Quantity, Time, Cost of each task activity so as to produce a system capable of assisting the appraisal officer in evaluating the quality of employee performance using the K-Means algorithm as information to find out the employee including very good, enough, and less.

Pengelompokkan Sumber Air Minum Dari Air Sungai Menggunakan Metode K-Means Sabrina Biutiqwin Sinaga; solikhun S; Dedi Suhendro
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.289

River water is one of the most frequently used water by the community and has a multipurpose function for life, one of which is a source of drinking water. However, now we know that the population of river water pollution is very high and it is used as a waste disposal site which causes a lot of river water to be polluted, it can make people susceptible to disease because they consume unhealthy river water. Judging from the data obtained by province, many use river water as a source of drinking water, for this reason the authors conducted a study that aims to classify drinking water sources from river water by province using the K-means Clustering algorithm and will test it with the Rapidminer application, so that Data from 34 provinces will be divided into 3 clusters in which cluster 1 (C1) is a high group, cluster 2 (C2) is a medium group, and cluster 3 (C3) is a low group. The results obtained from this study are C1 with a total of 2 provinces, C2 with a total of 9 provinces, C3 with a total of 23 provinces and the value of the results carried out with the Rapidminer application has the same value. With this research, it is hoped that this can provide information for the government about the data on the grouping of drinking water sources and used as a consideration for overcoming polluted rivers.

Penerapan Algoritma K-Means Dalam Mengelompokkan Rata-Rata Konsumsi Kalori Menurut Provinsi Juwitha Lovely Sweets Sinaga; S Solikhun; Dedi Suhendro
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.272

Calories are a source of energy that we get from food intake that contains nutrients and as a basic human need for humans to survive. The number of people who consume excessive calories and do not pay attention to the amount of calorie intake that is consumed will result in the emergence of various diseases that are bad for health. In this case the government does not have information about the data on the average calorie consumption per province by province. The purpose of this study is to determine the highest and lowest clusters, for that the authors use Data Mining with the K-Means Algorithm to classify Average Calorie Consumption per day by province. This test is carried out using RapidMiner software. The results were obtained from the average grouping of calorie consumption grouped by two clusters: high and low clusters, high clusters of 13 provinces and low clusters of 21 provinces. Provinces that are classified as low clusters are expected to be a contribution for the Indonesian government for decision making in an effort to maintain a balanced consumption of calories per day and create a healthy lifestyle program in the future.

Penerapan Algoritma K-Means dalam Proses Clustering Penilaian Kinerja Aparatur Sipil Negera di Sekretariat DPRD Pematangsiantar Della Aulia; M Safii; Dedi Suhendro
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.270

This study discusses the assessment of the performance of the ASN (State Civil Apparatus) in the Pematangsiantar DPRD Secretariat based on the quality of its work. In carrying out their performance, emoployess are still often truant and have a poor work ethic.In this case the research aims to improve employee welfare. During this time the amount of employee income is only based on the group and position they have. This study uses the K-Means method to classify or classify employee performance quality assessments based on SKP (employee work objectives) with additional income based on work quality assessment and employee behavior.After conducting this research there is a result that in carrying out the performance of employees include Quality, Quantity, Time, Cost of each task activity so as to produce a system capable of assisting the appraisal officer in evaluating the quality of employee performance using the K-Means algorithm as information to find out the employee including very good, enough, and less.

Pengelompokkan Sumber Air Minum Dari Air Sungai Menggunakan Metode K-Means Sabrina Biutiqwin Sinaga; solikhun S; Dedi Suhendro
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.289

River water is one of the most frequently used water by the community and has a multipurpose function for life, one of which is a source of drinking water. However, now we know that the population of river water pollution is very high and it is used as a waste disposal site which causes a lot of river water to be polluted, it can make people susceptible to disease because they consume unhealthy river water. Judging from the data obtained by province, many use river water as a source of drinking water, for this reason the authors conducted a study that aims to classify drinking water sources from river water by province using the K-means Clustering algorithm and will test it with the Rapidminer application, so that Data from 34 provinces will be divided into 3 clusters in which cluster 1 (C1) is a high group, cluster 2 (C2) is a medium group, and cluster 3 (C3) is a low group. The results obtained from this study are C1 with a total of 2 provinces, C2 with a total of 9 provinces, C3 with a total of 23 provinces and the value of the results carried out with the Rapidminer application has the same value. With this research, it is hoped that this can provide information for the government about the data on the grouping of drinking water sources and used as a consideration for overcoming polluted rivers.

Sistem Pakar dengan Proses Forward Chaining pada Kulit Wajah Berminyak Indah Syahputri; Agus Perdana Windarto; Dedi Suhendro; Eka Irawan; M Fauzan
Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.827 KB)

The research objective was to analyze oily facial skin using the forward chaining method and to build an expert system application that was able to provide accurate information about oily facial skin. Sources of data obtained by interviewing the owner of the House of Beauty who resides on Jl. Adam Malik, Pematangsiantar. The implementation of the expert system is a web application. The results showed that the system could be applied and analyzed oily facial skin using the forward chaining method, which was caused by various kinds of symptoms that attack everyone's facial skin, especially oily facial skin disease, based on the symptoms displayed by the user so that the expert system application could provide information about definition, treatment, and prevention, so as to help users in symptomatic symptoms and types of disease based on the symptoms that appear by the user.

Analisis Metode Vise Kriterijumska Optimizajica I Kompromisno Resenje (VIKOR) dalam Merekomendasikan Pupuk Terbaik bagi Produktivitas Tanaman Kelapa Sawit Nila Soraya Damanik; Eka Irawan; Muhammad Ridwan Lubis; Agus Perdana Windarto; Dedi Suhendro
Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.921 KB)

The purpose of this study was to analyze and apply decision support system software in recommending the best fertilizer for oil palm productivity. Sources of data were obtained from PTPN IV Marihat through observations and interviews with PTPN IV Marihat regarding the data used. The solution given is a ranking using the Vise Kriterijumska Optimizajica I Kompromisno Resenje (VIKOR) method. In selecting the best fertilizer for oil palm plant productivity, several parameters of the assessment criteria are used, including soil type (C1), nutrient content (C2), dosage (C3), shape (C4), properties (C5), and price (C6). The alternatives used as a composition in selecting the best fertilizer for oil palm plant productivity are Urea Fertilizer, SP-36 Fertilizer, KCL Fertilizer, Dolomite Fertilizer, and Abu Janjang Fertilizer. The results of research conducted with the VIKOR method that ranking can be applied to selecting the best fertilizer for oil palm plant productivity where the best alternative with the smallest Q value is Dolomite Fertilizer with a value of Q = 0, the second alternative is Urea Fertilizer with a value of Q = 0.626, the third alternative is KCL fertilizer with a value of Q = 0.678, the fourth alternative is Ash Janjang Fertilizer with a value of Q = 0.833, and the last alternative is SP-36 Fertilizer with a value of Q = 1. It is hoped that the results of this research can help PTPN IV Marihat in recommend the best fertilizer so that it can increasing oil palm productivity at PTPN IV Marihat.

Title

Found 11 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 11 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 11 Documents
Search