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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

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Abstract

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

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Abstract

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%.
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)

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Abstract

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)

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Abstract

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.
Penerapan Data Mining Klasifikasi Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Sistem Informasi di Program Studi Sistem Informasi Dimas Ainnur Ryanda Saragih; M Safii; Dedi Suhendro
Journal of Information System Research (JOSH) Vol 2 No 2 (2021): Januari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The purpose of this study was to determine the effect of Academic Information System services on student satisfaction so that students who are academics do not feel disappointed with services related to Academic Information Systems. Measurement of Student satisfaction related to campus Information System services is rarely done so that the level of student satisfaction is unknown. By knowing the level of student satisfaction, the College can improve the service if it is not good and further improve the service if the level of satisfaction is good. This study measures the level of student satisfaction with the services of the Academic section at STIKOM Tunas Bangsa. The method used in this study is C4.5 Algorithm, where the data source used uses a questionnaire / questionnaire technique that is given to students randomly in the STIKOM Tunas Bangsa Pematangsiantar environment. Data validity is done with internal validity. The variables used include (1) System Quality, (2) Information Quality, (3) Service Quality, and (4) Performance Expectations. It is expected that the results of this research can be applied to improve the Academic Information System service so that the existing system can run better