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IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISIS PENJUALAN DENGAN BERBASIS WEB Agus Nursikuwagus; Tono Hartono
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 7, No 2 (2016): JURNAL SIMETRIS VOLUME 7 NO 2 TAHUN 2016
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.222 KB) | DOI: 10.24176/simet.v7i2.784

Abstract

Transaksi penjualan merupakan suatu usaha penjualan yang dilakukan setiap menit, setiap hari, setiap minggu bahkan bertahun-tahun. Sehingga data akan semakin menumpuk bisa berasal dari proses manual maupun proses komputasi. Sehingga data yang ada belum dimanfaatkan dengan baik oleh pengambil keputusan. Tulisan ini bertujuan untuk memberikan laporan hasil penelitian mengenai implementasi algoritma apriori untuk analisis penjualan. Penelitian ini didukung dengan metodologi pengembangan perangkat lunak yang disebut linear incremental development. Pada proses yang dilakukan pada implementasi perangkat lunak ini terdapat beberapa langkah seperti penentuan masalah, identifikasi dan penyelesaian resiko, pengembangan dan test, serta perencanaan siklus berikutnya. Setiap langkah pada tahapan tersebut digunakan untuk memetakan permasalahan yang ada hingga terbentuknya suatu aplikasi sesuai kebutuhan. Sebagai hasil dari penelitian ini adalah aplikasi berdasarkan algoritma apriori yang terdiri dari pemilihan Itemset dan aturan asosiasi. Keluaran dari perangkat lunak ini digunakan untuk data acuan stok barang serta mengotomatisasi perhitungan analisis penjualan barang. Kata kunci: sequential linear incremental, algoritma apriori, penjualan, implementasi.
ANALISIS POLA PEMBELIAN KONSUMEN PADA TRANSAKSI PENJUALAN MENGGUNAKAN ALGORITMA APRIORI Irsyad Djamaludin; Agus Nursikuwagus
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 8, No 2 (2017): JURNAL SIMETRIS VOLUME 8 NO 2 TAHUN 2017
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.669 KB) | DOI: 10.24176/simet.v8i2.1566

Abstract

Penambangan data perlu dilakukan jika informasi disimpan dalam suatu penyimpan.  Aktfivitas ini menjadi  landasan  dalam  hal  pendukung  keputusan  untuk pembuat  keputusan.  Aktivitas  yang  sudah berjalan adalah informasi transaksi penjualan dan pembelian hanya tersimpan pada repository sebagai suatu laporan saja. Sehingga informasi hanya menjadi data histori yang tidak digunakan. Berdasarkan kejadian ini, maka diperlukan suatu analisis untuk mendukung suatu keputusan. Analisis ini adalah teknik mining dengan menggunakan algoritma Apriori. Tujuan  dari penelitian  ini adalah mendapatkan  pola penjualan  dan  pembelian  suatu  produk.  Untuk  menjawab  tujuan  maka  digunakan  algoritma  Apriori dengan aturan asosiasi. Penentuan itemset yang digunakan adalah berjumlah 1,2, dan 3 item produk. Sedangkan untuk Minimum Support yang digunakan adalah 30% dari jumlah transaksi yang ada. Untuk asosiasi  antar  produk ditentukan dengan confidence  sebesar  70%. Penelitian ini diselesaikan  dengan menggunakan UML yang terdiri dari Usecase Diagram, Class Diagram, dan Activty Diagram. Hasil dari penelitian ini adalah perangkat lunak analisis pola penjualan dan pembelian konsumen dengan Algoritma Apriori. Sedangkan keputusan yang diperoleh adalah asosiasi antar produk dengan menggunakan nilai confidence. Untuk Final Rule Association adalah produk bolu cake meses dan bolu cake keju dengan nilai confidence sebesar 84,62%.
Image Captioning menurut Scientific Revolution Kuhn dan Popper Agus Nursikuwagus; Rinaldi Munir; Masayu Leylia Khodra
Jurnal Manajemen Informatika (JAMIKA) Vol 10 No 2 (2020): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jamika.v10i2.2630

Abstract

Image captioning is one area in artificial intelligence that elaborates between computer vision and natural language processing. The focus on this process is an architecture neural network that includes many layers to solve the identification object on the image and give the caption. This architecture has a task to display the caption from object detection on one image. This paper explains about the connection between scientific revolution and image captioning. We have conducted the methodology by Kuhn's scientific revolution and relate to Popper's philosophy of science. The result of this paper is that an image captioning is truly science because many improvements from many researchers to find an effective method on the deep learning process. On the philosophy of science, if the phenomena can be falsified, then an image captioning is the science.
E-Health as a Service Software of Medical System in Prototype Modeling Agus Nursikuwagus
IJNMT (International Journal of New Media Technology) Vol 4 No 2 (2017): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1840.37 KB) | DOI: 10.31937/ijnmt.v4i2.620

Abstract

Information system at community health center is an information system that has several activities, such as registration, medical record, health care, and reporting. Day to day operation, community health service, is using process manually. It is cause the stack of service. Sometime, the patient has to wait within several times. For Further, the patient did not know that the queuing is full. In order to help the problem, this paper wants to show about E-Health as service software. The research is completed by conveying the model like UML diagram. The UML diagrams are consisting such as usecase, class, activity, and component. The sequence of system construct is using Prototype Paradigm. The result is the software which has ability to service patient start from registration, medical check, medical prescription, until reporting. As an impact for Community health service is the service more efficiency. The system is able to control the medicine and reporting on day to day operation. REFERENCES[1] Susanto, Gunawan,” Sistem Informasi Rekam Medis PadaRumah Sakit Umum Daerah (RSUD) Pacitan Berbasis WebBase”. Pacitan. 2012.[2] B, Nugroho, S.H. Fitriasih, B. Widada, “Sistem InformasiRekam Medis Di Puskesmas Masaran I Sragen”. JournalTIKomSiN, vol.5, no.1, p.49-56, 2017.[3] G.G.S. Bagja,” Membangun Sistem Informasi KesehatanPuskesmas Cibaregbeg”, Univ. Komp. Indonesia, 2010.[4] A.M. Herdy, Aulia, M. Amran, D. Novita, “PerancanganSistem Informasi Pelayanan Medis Di Puskesmas SungaiDua”, STMIK MDP. 2014.[5] J. Sundari, “Sistem Informasi Pelayanan Puskesmas BerbasisWeb”, Int.Journal.on Soft.Eng, vol.2, no.1, p.57-62, 2016.[6] R.S. Pressman, Software Engineering A PractitionersApproach. Nineth Edition, Addsion Wesley, 2011.[7] G. Booch, J. Rumbaugh, I. Jacobson, Unified ModelingLanguage User Guide, Addison-Wesley, 1999.[8] I, Daqiqil. (2011, August 2). Framework CodeIgnite. [Online].Available: http://koder.web.id/buku-codeigniter-gratis/
Optimasi Aplikasi Penjadwalan Kuliah Menggunakan Algoritma Genetik Syahrul Mauluddin; Iskandar Ikbal; Agus Nursikuwagus
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 3 (2018): Desember 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v2i3.597

Abstract

Course Scheduling is a routine activity at a college and it is a very important activity for the implementation of condusive academic activities. Problems that often occur in course scheduling are the length of the schedule making process and the clashes due to the many rules that must be considered. This problem happened in Indonesian Computer University at accounting major because the lecture scheduling process was still done conventionally. Given the importance of this scheduling process, optimization steps are needed so that the scheduling process will be faster and the schedule clashes can be minimized. Based on the problems, this research purpose is to optimize course scheduling application using genetic algorithm. The system approach method used in the development of course scheduling applications is object-oriented approach, with system development methods namely prototype models. to build the application we use the Java SE programming language with MySQL database. The conclusion of this study is that the implementation of genetic algorithms to course scheduling applications is able to achieve 0 (zero) clash which means very optimal, and view by time the result is very fast with an average of 1.003 seconds from 10 times the schedule creation attempt.
Optimasi Aplikasi Penjadwalan Kuliah Menggunakan Algoritma Genetik Syahrul Mauluddin; Iskandar Ikbal; Agus Nursikuwagus
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 3 (2018): Desember 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v2i3.597

Abstract

Course Scheduling is a routine activity at a college and it is a very important activity for the implementation of condusive academic activities. Problems that often occur in course scheduling are the length of the schedule making process and the clashes due to the many rules that must be considered. This problem happened in Indonesian Computer University at accounting major because the lecture scheduling process was still done conventionally. Given the importance of this scheduling process, optimization steps are needed so that the scheduling process will be faster and the schedule clashes can be minimized. Based on the problems, this research purpose is to optimize course scheduling application using genetic algorithm. The system approach method used in the development of course scheduling applications is object-oriented approach, with system development methods namely prototype models. to build the application we use the Java SE programming language with MySQL database. The conclusion of this study is that the implementation of genetic algorithms to course scheduling applications is able to achieve 0 (zero) clash which means very optimal, and view by time the result is very fast with an average of 1.003 seconds from 10 times the schedule creation attempt.