There are a lot of Mustahiq data in LAZ (Lembaga Amil Zakat) which is spread in many locations today. Each LAZ has Mustahiq data that is different in type from other LAZ. There are differences in Mustahiq data types so that data that is so large cannot be used together even though the purpose of the data is the same to determine Mustahiq data. And to find out whether the Mustahiq data is still up to date (renewable), of course it will be very difficult due to the types of data types that are not uniform or different, long time span, and the large amount of data. To give zakat to Mustahiq certainly requires speed of information. So, in giving zakat to Mustahiq, LAZ will find it difficult to monitor the progress of the Mustahiq. It is possible that a Mustahiq will change his condition to become a Muzaki. This is the reason for the researcher to take this theme in order to help the existing LAZ to make it easier to cluster Mustahiq data. Furthermore, the data already in the cluster can be used by LAZ managers to develop the organization. This can also be a reference for determining the zakat recipient cluster to those who are entitled later. The research is "Modeling using K-Means Algorithm and Big Data analysis in determine Mustahiq data ". We got data Mustahiq with random sample from online and offline survey. Online data survey with Google form and Offline Data survey we got from BAZNAS (National Amil Zakat Agency) in Indonesia and another zakat agency (LAZ) in Jakarta. We conducted by combining data to analyzed using Big Data and K-Means Algorithm. K-Means algorithm is an algorithm for cluster n objects based on attributes into k partitions according to criteria that will be determined from large and diverse Mustahiq data. This research focuses on modeling that applies K-Means Algorithms and Big Data Analysis. The first we made tools for grouping simulation test data. We do several experimental and simulation scenarios to find a model in mapping Mustahiq data to developed best model for processing the data. The results of this study are displayed in tabular and graphical form, namely the proposed Mustahiq data processing model at Zakat Agency (LAZ). The simulation result from a total of 1109 correspondents, 300 correspondents are included in the Mustahiq cluster and 809 correspondents are included in the Non-Mustahiq cluster and have an accuracy rate of 83.40%. That means accuracy of the system modeling able to determine data Mustahiq. Result filtering based on Gender is “Male” accuracy 83.93%, based on Age is ”30-39” accuracy 71,03%, based on Job is “PNS” accuracy 83.39%, based on Education is “S1” accuracy 83.79%. The advantaged of research expected to be able to determine quickly whether the person meets the criteria as a mustahik or Muzaki for LAZ (Amil Zakat Agency). The result of modeling is K-Means clustering algorithm application program can be used if UIN Syarif Hidayatullah Jakarta want to develop LAZ (Amil Zakat Agency) too.
Abstrak-Sistem Pendukung Keputusan (SPK) adalah sistem yang dapat membantu seseorang dalam mengambil keputusan yang akurat dan tepat sasaran. Banyak permasalahan yang dapat diselesaikan dengan menggunakan SPK, salah satunya adalah pemilihan jurusan di SMA. Ada beberapa metode yang dapat digunakan dalam membangun suatu SPK, diantaranya Analytical Hierarchy Process (AHP). AHP merupakan metode yang paling banyak digunakan dalam memecahkan permasalahan yang bersifat multi kriteria. Penelitian ini menggunakan metode AHP dalam menentukan pemilihan jurusan di SMA. Sistem dirancang dengan menggunakan bahasa pemograman C# dan aplikasi SQL Server yang digunakan untuk mengolah data. Data yang diolah berupa empat kriteria (Nilai Akademik, Nilai Psikotest, Minat Siswa, dan dari Orang Tua) untuk tiga alternatif (IPA, IPS, dan Bahasa). Hasil penelitian akan menunjukan sistem pendukung keputusan yang telah dirancang dapat menghasilkan informasi prioritas jurusan yang sesuai dengan kemampuan siswa sehingga dapat digunakan sebagai dasar pengambilan keputusan dalam pemilihan jurusan. Kata Kunci: sistem pendukung keputusan (SPK), analytical hierarchy process (AHP), pemilihan jurusan di SMA; waterfall.
Menurut Ibnu Jinni seorang ahli bahasa Arab memberikan definisi bahasa adalah bunyi-bunyi yang diucapkan oleh setiap kelompok masyarakat untuk menyampaikan maksud mereka. Al-Qur'an merupakan alat komunikasi antara Allah dengan hambanya, sehingga setiap ayat yang ada didalam al-Qur'an baik itu berbentuk itu berbentuk perintah, larangan, kisah, ataupun bentuk lainnya yang ada didalam al-Qur'an itu berfungsi sebagai sebuah pelajaran, petunjuk, serta suri tauladan bagi manusia. Kalimat tanya merupakan kalimat yang isinya menanyakan sesuatu atau seseorang kepada pendengar atau pembaca. Kalimat ini sering disebut dengan kalimat interogatif. Dengan tujuan untuk mengetahui bentuk dan makna kalimat tanya dalam surat an-Nazi'at. Dengan itu, dapat disimpulkan bahwa didalam surat an-Nazi'at ini, terdapat 6 (enam) ayat dari kata tanya yaitu pada ayat 10, 11, 15, 18, 27, 42. Kata tanya tersebut adalah ayat 10 adalah hamzah (apakah?), ayat 11 adalah hamzah (apakah?), ayat 15 hal (apakah?), ayat 18 adalah hal (apakah?), ayat 27 adalah hamzah (apakah?) dan ayat 42 adalah ayyᾱna (kapan?). Dan makna dinamika kebahasaan kalimat istifhᾱm majazi didalamnya, yaitu al-isti'bᾱd (menganggap kejadian itu tidak mungkin terjadi), al-inkᾱri sebuah penolakan. at-tasliyatu (menghibur). at-taqrῑr (peringatan), keras atau penegasan), at-taubῑh (menjelekkan). al-inkᾱr (penolakan). At-ta'dzῑm (mengagungkan). at-tahqῑr (meremehkan)
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