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Penerapan Algoritma Apriori Dalam Menentukan Merek Pakaian Yang Paling Diminati Pada Darma Utama Muhammad Hartono; Fricles A Sianturi
Jurnal Media Informatika Vol. 4 No. 2 (2023): Jurnal Media Informatika
Publisher : Jurnal Media Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v3i1 Desember.216

Abstract

Current technological developments in Indonesia are very modern. Currently, in the field of sales, computerized technology is used, one of which is the preparation of goods according to the conditions in which the goods are often sought after by consumers. By utilizing current technology, it will be very easy to spend the stock of goods being sold. The Darma Utama clothing store (DM Fashion) is a sales area that is currently developing, in early 2019 this store was just established and already has its own employees. Various types of clothing, such as dresses, robes, or shirts, are sold under various brands so that they can be in demand by many consumers. However, the impact of sales is competition, where many other shops sell clothes with various types and brands as well as discounts or warehouse cleaning with a price range that is far from the selling price which results in fewer consumers. Data Mining is a combination of data analysis techniques and finding important patterns in the data. In simple terms, it can be defined as the process of selecting, exploring and modeling large amounts of data to find patterns or trends that are usually not recognized. One of the methods in Data Mining is the Apriori Algorithm which searches for frequent itemsets using the Association Rule technique. The a priori algorithm is a type of association rule in data mining. The rules that state the association between several attributes are called affinity analysis or market basket analysis. Association analysis or association rule mining is a data mining technique to find the rules of a combination of items
Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Terbaik dengan Metode Simple Additive Waighting (SAW) Ferdiansyah Laia; Fricles A Sianturi
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 1 No. 3 (2021): RESOLUSI Januari 2021
Publisher : STMIK Budi Darma

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

Abstract

Decision support systems have several methods for solving a problem, one of which is the Simple Additive Weighting (SAW) method. The results of this system are only used in the case of a decision support system for employee performance appraisal and cannot be used in other companies because the decision making process at the company has different ways. This system can be used as a tool to determine the feasibility of assessing employee performance at PT. Gamma Enginnering. The system built is web-based using PHP with MySQL database.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN SISWA BARU MENGGUNAKAN METODE MOORA (MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS) Andi Arisman; Fricles A Sianturi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 1.1 (2020): SPESIAL ISSUE Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Sisfokomtek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v3i1.1.92

Abstract

Abstract In determining the new students who are exact and in accordance with the wishes, it is not easy. One of the problems faced by the New Student Admissions Committee (PPDB) each year are the criteria or conditions for admission of new students. Realizing how important it is in determining the right new students, there is no potential for KKN (Corruption, Collusion and Nepotism), it is necessary to establish an Acceptance Decision Support System New Students Using the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis). The system created is expected to make it easier for them the school SD Negeri 097358 Negeri Lawan, Kec. Batu Nanggar, Kab. North Sumatra Simalungun in determining new students who are accepted according to the number of quaternary needed. This new student admission decision support system is a computerized application program, thus it can help the committee to determine candidates of new students who will be accepted. The final result obtained is the result of the determination calculation acceptance of new students by having the ability according to existing criteria predetermined. Based on the analysis results when testing the support system, it can be concluded that this application is very easy to use (perceived ease of use) and is very useful for the State Elementary School 097358 Negeri Lawan, Kec. Dolok Batu Nanggar, Kab. Simalungun-North Sumatra. Keywords : MOORA, New Student Admission, Decision Support System
ANALISA METODE TREND MOMENT UNTUK PERAMALAN PENJUALAN STOK BARANG PADA TOKO SUN OLEH-OLEH Ayu Nanda Safitri; Fricles A Sianturi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 1.1 (2020): SPESIAL ISSUE Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Sisfokomtek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v3i1.1.95

Abstract

Sun Souvenirs Shop is a private company that sells souvenirs. The Sun Souvenir Shop has a wide variety of typical Medan food and souvenirs for sale. Customers who don't have time to buy souvenirs outside can buy them at Kualanamu International Airport. Sun Souvenir Shop is located at Departure Level 2 near the check-in counter. This research is about forecasting system. The method used is the Trend Moment Method, Trend Moment Method is used to be able to solve the problem, namely to predict sales of stock items. The data used in this study are sales data from the past obtained from interviews conducted directly at the research site. The more data used in forecasting using the Trend Moment method, the more accurate the resulting forecast will be. The system was built using the Visual Studio 2010 programming language with Microsoft Access 2007 database. The result of this research is a forecasting application that can assist in predicting sales of stock items.
SISTEM PAKAR MENDETEKSI KERUSAKAN PADA EQUIPMENT DENGAN MENGGUNAKAN METODE FORWARD CHAINING Andriana Manik; Fricles A Sianturi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 1.1 (2020): SPESIAL ISSUE Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Sisfokomtek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v3i1.1.112

Abstract

Transportasi udara telah menjadi bagian penting dalam kehidupan manusia. Khususnya pada bidang peralatan atau perlengkapan (equipment) yang digunakan dalam membantu kegiatan aktivitas kerja di area Bandar udara. Equipment yang sering sekali mengalami kerusakan secara berulang, yang disebabkan oleh cara penggunaan operator terhadap Equipment yang kurang tepat, sehingga mengakibatkan banyaknya kendaraan yang rusak dan Jumlah biaya yang akan dikeluarkan juga akan sangat besar untuk memperbaikinya. Sistem Pakar merupakan metode yang tepat digunakan untuk membantu dalam menyelesaikan masalah. Metode system pakar yang digunakan adalah Forward Chainig. Forward Chaining ialah suatu metode Mampu mendeteksi kerusakan dan memberikan kesimpulan kerusakan dari gejala gejala yang ada . Proses pencarian dengan metode Forward Chaining berangkat dari kiri ke kanan, yaitu dari premis menuju kepada kesimpulan akhir. metode ini mampu membuat keputusan berdasarkan data rule dan bobot yang diberikan, berupa tabel keputusan, dan memiliki keakuratan yang cukup tinggi dalam memberi keputusan.
Sistem Pakar Mendiagnosa Penyakit Kulit Menggunakan Metode Metode Teorema Bayes Sirjon Nainggolan; Fricles A Sianturi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 1.1 (2020): SPESIAL ISSUE Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Sisfokomtek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v3i1.1.115

Abstract

Kulit memiliki peranan yang sangat penting bagi tubuh manusia antara lain sebagai alat pengeluaran berupa kelenjar keringat, pelindung organ dibawahnya, tempat dibuatnya Vitamin D dengan bantuan sinar matahari. Kulit merupakan banteng pertahanan pertama dari berbagaI ancaman yang dating dari luar seperti kuman, virus dan bakteri.Sistempakarmerupakan system yang berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli . Metode bayes merupakan salah satu metode yang terdapat pada system pakar yang dapat menghitung atau mengolah nilai-nilaiprobabililitassetiapgejala.Sistem pakar mendeteksi penyakit kulit memiliki 7 jenis penyakit yang terdapat pada kulit yaitu Bisul, Kudis, Eksim, Kurap, Jerawat, Melanoma (KankerKulit), Herpes .Sistem pakar mendeteksi penyakit kulit dengan menggunakan software visual studio 2010, MySQL sebagai penyimpanan data.
Sistem Pendukung Keputusan Pemilihan Karyawan Tetap pada Trinity Teknologi Nusantara Dengan Metode Moora Amri Juanda; Fricles A Sianturi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 1.1 (2020): SPESIAL ISSUE Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Sisfokomtek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jikomsi.v3i1.1.131

Abstract

PT. Trinity Teknologi Nusantara is a company engaged in internet services, covering the areas of Medan, Deli Serdang, Simalungun, Binjai and its surroundings. The reality in the field is that the office is not ready to choose permanent employees. Manual administrative problems resulted in less efficiency in assigning permanent employees at PT. Trinity Teknologi Nusantara. Therefore, the authors took the initiative to create a system that can assist the office in making a decision to determine permanent employees, so that it can be more efficient in its implementation. The comparison of the Moora method with other methods found in the Decision Support System is that the MOORA method is very simple, stable, and strong, even this method does not require an expert in mathematics to use it and requires simple mathematical calculations. Besides that, the Moora method also has more accurate and targeted results in helping decision making. When compared to other methods, the MOORA method is even simpler and easier to implement
Sistem Pendukung Keputusan Pemberian Bantuan Kepada Keluarga Kurang Mampu Menggunakan Metode AHP Bobby Gersonta Ginting; Fricles A Sianturi
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.15 KB) | DOI: 10.32672/jnkti.v4i1.2674

Abstract

Poverty is a problem that is still faced by several countries in the world, especially in Indonesia. Poverty is a condition / condition of the inability of individuals / groups of people to meet the necessities of life, both physical and economic conditions. The system of providing assistance carried out by the Social Service of North Sumatra Province uses the Analytical Hierarchy Process method. The method used in this aid system is the Analytical Hierarchy Process method in the Social Service of North Sumatra Province. The results of the weighted assumptions for each criterion are relative in nature. The criteria used in determining the receipt of assistance are job criteria, income criteria, nutritional consumption criteria (chicken, meat, milk), criteria for sources of information, criteria for medical ability, criteria for the last education of the head of the family. The method used in this research is the AHP method. AHP method is one of the methods used in the Decision Support System to determine the provision of this assistance is the Analytical Hierarchy Process (AHP). After getting the consistency index value, then look for the consistency ratio value (CR) by dividing the consistency index by the consistency random index (RI), namely CR = C1 / R1 CR = 0.09975 / 1.24 = 0.0891, the requirement for consistency CR 0.1 then the CR value that is obtained from the comparison above it is consistent.
Sistem Pendukung Keputusan Pemilihan Bibit Tanaman Karet Dengan Metode Profile Matching Ardin Natalius Harefa; Fricles Ariwisa Sianturi
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 6 (2021): Desember 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (910.356 KB) | DOI: 10.32672/jnkti.v4i6.3531

Abstract

 PT. Asri Jaya had difficulty in selecting the best rubber plant seeds, both for direct planting in the plantations and recommending them to be marketed to rubber plantation companies, because the types of rubber plant seeds in the company had many varieties and varied as well as different ages of seeds. -different such as BPM seeds, IRR seeds, IRC, rubber frame seeds, GT (Gondang Tapen), PB seeds (Prang Besar), and so on. The alternatives used in this research are types of rubber plant seeds, namely BPM seeds (Balai/Pusat Perkebunan Medan, IRR (Indonesian Rubber Research) rubber seeds), IRC rubber seeds (Institute Research of Ceylon), frame rubber seeds, GT rubber seeds (Gondang Tapen) and PB (Prang Besar) rubber seedlings. The criteria used in this study were umbrella shape, petiole position, petiole shape, leaf color, leaf shape, leaf bone, leaf thickness, stem height, and seedling age. which is built using the programming language used in making the system is PHP with MySQL database. To calculate the total value, it must first determine the percentage of core factore and secondary factore. In this case the core factore is determined with a percentage value of 60% considering the main factor is an the most dominant aspect or criteria for assessing the selection of rubber plant seeds, the percentage value is greater than the pe value the percentage for the secondary factor is 40%.
Penerapan Metode Simple Additive Weighting Untuk Pengalokasian Anggaran Dana Bantuan Operasional Sekolah Fricles A Sianturi
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2021): Jurnal Sains dan Teknologi
Publisher : CV. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/saintek.v2i2.124

Abstract

School Operational Assistance (BOS) is a government program that is basically providing funding for non-personnel operating costs for basic education units as implementing compulsory education programs. With the existence of BOS funds, it is hoped that education can succeed in Indonesia and produce a quality generation of the nation. The ineffectiveness of the management and allocation of BOS funds is one of the problems in the world of education. Therefore we need a Decision Support System that can help schools allocate BOS funds with the Simple Additive Weighting (SAW) method. The SAW method is often known as the weighted sum method by determining the value of each criterion for each selected alternative. This funding allocation decision support system was also applied using the Microsoft Visual Studio 2010 programming language and by using the Microsoft Access 2010 database. The results of this study were obtained for Quarter I namely Alternative A4, for Quarter II namely Alternative A3, for TW III namely Alternative A1 , and for Quarter IV alternative A5.