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Otomatisasi Order Persediaan Bahan Mentah Pada Restoraninggilmenggunakan Metode Fuzzy Analitycal Hierarchy Process
No full textProduksi dalam
restoran merupakan produksi yang terus menerus harus tersedia dengan permintaan
yang bersifat tidak tentu atau tidak pasti berdasarkan permintaan komsumen.
Tujuan penelitian ini adalah untuk mengimplementasikan metode Fuzzy Analytical
Hierarchy Process (FAHP) pada Sistem Pendukung Keputusan (SPK) pembelian bahan
mentah kepada pemasok. Analisis penelitian meliputi perbandingan hasil
perhitungan manual dengan SPK berbasis FAHP dan ketepatan hasil akhir sistem
dengan rekomendasi pakar manajemen pembelian untuk sistem penunjang keputusan
proses order.
Hasil penelitian
menunjukkan peningkatan profit dari ketepatan pemilihan pemasok restoran
menggunakan metode FAHP dibanding dengan cara manual. Hasil analisa menunjukkan
perbedaan signifikan jika diterapkan pada bahan yang sama, harga yang tetap
dari masing-masing pemasok tetapi berbeda jumlah pembelian, mampu memberikan
selisih harga berkelipatan yang artinya menekan biaya pembelian dan
meningkatkan profit
Sistem penentuan diskon pada swalayan berbasis jumlah penjualan dan stok barang menggunakan Metode Fuzzy Control
Full text linkCompetition supermarkets scattered everywhere with close proximity constraints have stock of
goods in the supermarket is not immediately sold out even to reach the thresholds are exceeded. Sales management
must be done to regulate the stock of goods in order to stock a lot of goods can be sold in advance. It is necessary to
accelerate the inventory round. Monitoring and observation turnover should be done to determine the most salable
goods and sought after by prospective customers with a high level of sales.In order to support the circulation of
goods is required appropriate marketing strategies in the form of one of them by giving discounts on goods that are
at risk of piling. The main target of this discounting is the amount of inventory that much and goods sales level
slightly. The amount of stock that much should be given discounts in the hope that more rapid goods sold, thereby
reducing the stock of goods that much. While the level of sales that little item must also be given a discount that
much anyway so that goods are not up to the expiry date.This discount can not be separated determination of
subjectivity manager self-service based on his experience as a sales management. Merging these two elements in
determining the needs of this discount will rise to a complex calculation, to the researchers using fuzzy control
methods to overcome them.
The main objective of this research is to develop a system that can suppress the determination of prices of the losses
suffered as a result of delays in circulation of goods. Research will implement determination system based discount
rate of sales and inventory with fuzzy control in supermarkets
Digital public service Kelurahan Gadingkasri Kota Malang
Full text linkIntegration of community service facilities in the form of technological innovations that apply to the administration
system, information sharing, and column complaints from community members have not been owned by all lines of
government in the regions, especially the kelurahan level. Lagging information or good news about problems in the
neighborhood and various kinds of administrative information can cause a gap in the relationship between the residents and the executor of the government. This can cause miscommunication and significantly hamper development in the local government. The local government needs to be observant of the needs of its citizens and try to respond responsibly in all situations. Responding to this need the author worked with the Gadingkasri Sub-District of Klojen Sub-District, Malang City, pioneering facilities in the form of mobile application-based public service applications with the aim of generating increasingly communicative relations between government and its citizens. In this case the latest information reporting and complaints column from the community, for example emergency reporting of criminal incidents, fires, disasters, medical needs, psychoconsultation, road damage, water pipe leaks, kamtibas and others. It is expected that information that is quickly conveyed from the community to the local government, can be followed up appropriately and stored as a history in the database
Analisi Perbandingan Metode Analytical Hierarchy Process dan Fuzzy dalam Process Market Matching UMKM
Full text linkInformation on market development and competition of Micro, Small and Medium Enterprises (SMEs) with the same product among SMEs will be very useful for marketing process of SMEs products to avoid losses due to stock of piling products. Therefore, it is necessary to support the decision for SMEs to choose the right buyers from the many buyers for their products. Some methods that can be used include Analytical Hierarchy Process (AHP) and Fuzzy Logic. AHP and Fuzzy methods are able to recommend only based on linguistic criteria. To find out how accurate these two methods are in the market matching process, it is necessary to analyze the comparison of AHP and Fuzzy methods with the same case that is for the selection of buyers for SMEs products. Based on the results of analysis, Fuzzy output is the number of products that can be sold to each buyer while the results of AHP output in the form of a buyer's ranking. Fuzzy results show the more number of products that must be sold to the buyer, the greater the opportunity to sell to buyers. AHP results show the higher the rankings of buyers, the greater the opportunity to buyers. When these two methods are compared, using buyer data with almost the same criteria, fuzzy is more accurate than AHP, because Fuzzy is able to deliver more precise output
Opinion Mining Kepuasan Lulusan melalui Tracer Study Terhadap Kompetensi dan Proses Belajar Mengajar di Universitas Merdeka Malang
Full text linkIndikator capaian keberhasilan suatu institusi dalam penerapan metode belajar mengajar dan penyusunan kurikulum yang sesuai dengan kompetensi dapat diperoleh dari hasil Tracer Study terhadap lulusan. Lulusan yang menyatakan puas atau tidak puas terhadap sistem pembelajaran di Perguruan Tinggi merupakan tolak ukur tindak kebijakan tentang rekonstruksi kurikulum ataupun peningkatan kualitas layanan terhadap mahasiswa. Metode yang dapat digunakan untuk mengklasifikasi Opini dari para lulusan terhadap kualitas kampus salah satunya adalah Text Mining. Text Mining akan memproses dengan cara ekstraksi pola yaitu mengambil informasi dan pengetahuan yang berguna dari sejumlah besar sumber data yang tak terstruktur. Metode ini akan mengklasifikasi kalimat-kalimat saran dan testimoni lulusan yang diisi di salah satu kolom instrument Tracer Study. Text Mining akan mengenali kata-kata dasar sebagai kata acuan dan mengkategorisasikan dalam 2 golongan besar yaitu Positif (Puas) atau Negatif (Tidak Puas). Text Mining akan membutuhkan Tabel Kata Dasar sehingga komparasi per kata yang ada di kalimat-kalimat testimoni dan tabel kata dasar dapat dilakukan. Hasil dari Text Mining yang diujikan terhadap data opini lulusan pada instrumen tracer study di Universitas Merdeka Malang menunjukkan bahwa sebagian besar Iulusan sudah puas terhadap layanan pembalajaran di Universitas Merdeka Malang
Aplikasi K-Means Clustering Untuk Pengelompokkan Siswa Ke Dalam Kelas Berdasarkan Nilai Akademis, Jenis Kelamin, Perilaku Dan Nama Siswa Di SMA Negeri 1 Srengat
Full text linkSMA Negeri 1 Srengat has approximately three hundred students per batch that will be grouped into eight classes that have been available for each level. The process of grouping students into the classroom should take account of the appropriate grouping procedures of school policies to obtain optimal learning outcomes. The classification procedures include each class should consist of low achieving and high achieving students, equal distribution of sexes of both men and women for the whole class, equitable distribution of the students' names from az and equitable distribution of values of behavior students. Grouping criteria that formed include student name, student's gender, student's academic value and student's behavior score. To assist the process of grouping the students into the classroom, it is necessary to build an application grouping of students with the method of K-Means Clustering as a cluster value calculator based on the distance value of student data with the value of the cluster center. K-Means Clustering calculation results are grouping students who have similarity criteria into one particular cluster and divide the students into several classes in sequence in order of class in the absence of appropriate grouping procedures
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Automatic filterization for industrial drinking water quality based on internet of things; Sistem monitoring filterisasi air minum industri berbasis internet Of things
Full text linkWater that suitable for consumption must comply with several biological, chemical and radioactive
requirements. The majority of people not understand the quality of the water they consume, most people only recognize
clean and dirty water, without knowing the suitability of this water. Because not all substances contained in water
can be seen with the naked eye, so it will be difficult to know whether the water is in accordance with the quality of
drinking water or not. This study was aimed at monitoring several drinking water quality parameters in the form of
pH (6.5 - 8.5), Turbidity (<5 NTU) temperature (22 ℃ - 27 ℃) and TDS (<500 ppm) using pH sensors, turbidity
sensors temperature sensors and TDS sensors, and Ultraviolet light as an inhibitor of bacterial growth. The resulting
data is executed by NodeMCU 8266 and forwarded via IoT to be sent to the server and forwarded to the application
automatically. The results of the pH sensor readings show a reading accuracy of up to 98.36%, the temperature sensor
the reading accuracy reaches 96%, the turbidity sensor has an accuracy level of up to 90.1%, while the TDS (Total
Dissolve Solid) sensor has an accuracy level of 95, 16%. Water from the filtration of the water filter can be categorized
as suitable for consumption accordance with drinking water standards in the Decree of the Minister of Health No.492
of 2010
Sistem Kontrol Filterisasi Otomatis Pada Kualitas Air Minum Industri Menggunakan Metode Fuzzy Logic
Full text linkAir yang layak untuk diminum harus sesuai beberapa persyaratan biologis,kimia dan radioaktif. Mayoritas masyarakat kurang mengerti mengenai kualitas air minum, mereka hanya mengerti tentang air bersih dan air kotor saja. Hal ini dikarenakan zat yang terkandung dalam air minum merupakan mikroskopis. Penelitian ini ditujukan untuk melakukan pengontrolan filterisasi air minum yang disesuaikan dengan beberapa parameter kualitas air minum berupa Ph (6,5 – 8,5) , Kekeruhan (<5 NTU) suhu (22℃ - 27 ℃) serta TDS (<500 ppm) dengan menggunakan sensor suhu, sensor pH, sensor kekeruhan dan sensor TDS dan nyala lampu ultraviolet sebagai penghambat pertumbuhan bakteri. Data yang dihasilkan diproses oleh NodeMCU 8266 dan diproses melalui IoT untuk ditampilkan ke aplikasi secara otomatis. Hasil pembacaan keseluruhan memiliki tingkat keakurasian sebesar 95,16%. Dan hasil penerapan fuzzy logic sebagai sistem kontrol sebesar ≥ 75%. Air hasil filtrasi alat filter air dapat dikategorikan layak untuk diminum sesuai dengan standar air minum dalam keputusan Menteri kesehatan No.492 tahun 2010
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