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PERBANDINGAN ALGORITMA C4.5 DAN NAÏVE BAYES UNTUK MENENTUKAN KELAYAKAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN Fitriani, Eka
SISTEMASI: Jurnal Sistem Informasi Vol 9, No 1 (2020): SISTEMASI: Jurnal Sistem Informasi
Publisher : Fakultas Teknik dan Ilmu Komputer Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v9i1.596

Abstract

ABSTRACTPKH adalah program yang memberikan bantuan tunai bersyarat kepada Rumah Tangga Sangat Miskin yang telah ditetapkan sebagai peserta PKH dengan ketentuan tertentu. Permasalahan yang sering terjadi pada program pemberdayaan Pemerintah ini, salah satunya pada bantuan PKH adanya tidak tepat sasaran warga yang menerima bantuan PKH. Munculnya masalah tersebut, diakibatkan verifikasi data yang belum efektif terhadap pemilihan warga yang layak menerima bantuan PKH. Oleh karena itu perlu dilakukan analisis mengenai PKH sehingga dapat mengetahui kelayakan dari suatu permasalahan Program PKH. Melalui hasil analisis PKH, dapat diketahui apakah warga layak atau tidak dari permasalahan yang ada digunakan komparasi metode klasifikasi data mining untuk mengetahui algoritma mana yang baik untuk memprediksi kelayakan warga yaitu dengan menggunakan dua algoritma yaitu algoritma C4.5 dan Naïve Bayes. Setelah dilakukan pengujian dengan dua algoritma tersebut menggunakan tools RapidMiner didapatkan hasil yaitu algoritma C4.5 menghasilkan nilai akurasi sebesar 91,25% dan nilai AUC sebesar 0,930 dengan tingkat diagnosa Excellent Classification sedangkan algoritma Naïve Bayes menghasilkan nilai akurasi sebesar 87,11% dan nilai AUC sebesar 0,923 dengan tingkat diagnosa Excellent Classification. Sehingga didapat kesimpulan algoritma C4.5 merupakan algoritma yang baik untuk diterapkan pada kelayakan PKH. Kata kunci: Kelayakan PKH, Data Mining, C4.5, Naïve Bayes
Sistem Pakar Diagnosis Penyakit Pada Tanaman Jeruk Manis dengan Metode Dempster Shafer fitriani, eka; aldo, Dasril
Jurnal Sains dan Informatika Vol 5, No 1 (2019): Sains dan Informatika
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1060.419 KB) | DOI: 10.22216/jsi.v5i1.4030

Abstract

Orange plants are plants that are cultivated by farmers. This study aims to assist farmers in diagnosing the disease of sweet orange plants using the Dempster Shafer method. Calculating the trust value of the selected symptoms by comparing each weight value of the 2 initial symptoms selected then compared with the weight values of other symptoms so that new symptoms that lead to a disease are produced accompanied by the value of their beliefs. Keywords:Expert System, Dempster Shafer, Orange plant disease
PENERAPAN ALGORITMA C4.5 UNTUK KLASIFIKASI PENEMPATAN TENAGA MARKETING Fitriani, Eka; Aryanti, Riska; Saepudin, Atang; Ardiansyah, Dian
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v22i1.6898

Abstract

Marketing is a job that has a scope of work to market a product. Marketing is at the forefront of the company. The problem that often occurs in companies is not having a reliable marketing force. The problem arises because the process of accepting new marketing is still not done professionally. This happens because there is no systematic standard method to assess the feasibility of marketing candidates. Therefore it is necessary to analyze the marketing placement so that it can determine the feasibility of a new marketing placement problem. Through the results of the analysis of new marketing placements, it can be seen whether the marketing candidates passed or did not qualify. Of the problems that exist testing the data mining classification method to find out the algorithm to predict marketing feasibility is to use an algorithm that is C4.5. After testing with the C4.5 algorithm the results obtained are that the C4.5 algorithm produces an accuracy value of 91.10% and an AUC value of 0.921 with a diagnosis level of Excellent Classification. So that the conclusion C4.5 algorithm is a good algorithm to be applied to the feasibility of marketing placement. Keywords : Marketing Feasibility, Data Mining, C4.5
Study area fishing in selat air hitam Kepulauan meranti district riau province Fitriani, Eka; Yani, Alit Hindri; Sari, Ersti Yulika
Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Vol 1, No 2 (2014): Wisuda Oktober Tahun 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan

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Abstract

This study was conducted in Selat Air HitamKepulauanMerantiDistrict ProvinceRiau, used survey method, and the purpose was to determine the existing fishing areas in Selat Air Hitam. From the research,there isonepointthe fishing areawith the best catches throughout the year, that isat the pointof 560 03.0 N – 1020 54’’ 18.5’ E, this point is located close to the village of Repan ,fishing gearusedgombangandlongline, but it catches in the waters of the Selat Air Hitam has various kinds of seafood ranging from fish to shrimp (Penaus) . That affect the extent of the catch in the waters it is a state of the marine environment , because if the water is polluted, the number of fish in the waters will be very few fish in the catch and fishing are also not as they had hoped , the Selat Air Hitam is included in the potential region make an arrest, it can be of varying catches of fishermen.Keywords : fishing area , fishing gear , Selat Air Hitam
FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KEPATUHAN ASUPAN CAIRAN DAN NATRIUM PADA PASIEN GAGAL GINJAL KRONIK (STUDI KASUS PADA PASIEN YANG MENJALANI HEMODIALISIS DI RSUD PROF. DR. MARGONO SOEKARJO PURWOKERTO) fitriani, eka; Krisnansari, Diah; Winarsi, Hery
Jurnal Gizi dan Pangan Soedirman Vol 1 No 01 (2017): Jurnal Gizi dan Pangan Soedirman
Publisher : Program Studi Ilmu Gizi, Jurusan Kesmas Fakultas Ilmu-Ilmu Kesehatan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jgps.2017.1.01.344

Abstract

ABSTRACT This observational study using cross sectional design. Sampling method using purposive sampling and got 35 participants who were CKD patients undergoing hemodialysis in Prof. Dr. Margono Soekarjo Hospital, Purwokerto. The data of participant characteristic, length of time since the initiation of hemodialysis therapy, knowledge, attitude, and social support were collected by using questionnares. Patient?s compliance to fluid and natrium intake was collected by calculating fluid and natrium intake level. Data were analyzed using Fisher test. Most participants did not comply with fluid restriction, but complied with natrium restriction. All factors that have been analized had no correlation to fluid and natrium intake compliance (p > 0,05), except gender and social support factor that had correlation to fluid intake compliance (p < 0,05). Male patients needed an intensive assistance so that fluid intake compliance increased. Moreover, social support from family and others needed to achieve this goal.   Keywords: Fluid and natriumi intake compliance, gender, hemodialyss, social, support  ABSTRAK  Penelitian observasional ini menggunakan desain cross sectional. Metode pengambilan sampel menggunakan purposive sampling dan didapatkan 35 peserta penderita CKD yang menjalani hemodialisis di Rumah Sakit Prof. Dr. Margono Soekarjo, Purwokerto. Data karakteristik peserta, lamanya waktu sejak dimulainya terapi hemodialisis, pengetahuan, sikap, dan dukungan sosial dikumpulkan dengan menggunakan kuesioner. Ketaatan pasien terhadap asupan cairan dan natrium dikumpulkan dengan menghitung tingkat asupan cairan dan natrium. Data dianalisis dengan menggunakan uji Fisher. Sebagian besar peserta tidak mematuhi pembatasan cairan, namun sesuai dengan batasan natrium. Semua faktor yang telah dianalisis tidak memiliki korelasi dengan kepatuhan asupan cairan dan natrium (p> 0,05), kecuali faktor pendukung gender dan sosial yang memiliki korelasi terhadap kepatuhan asupan cairan (p <0,05). Pasien laki-laki membutuhkan bantuan intensif agar kepatuhan asupan cairan meningkat. Apalagi dukungan sosial dari keluarga dan orang lain perlu untuk mencapai tujuan ini.  Kata kunci: Kepatuhan cairan dan natrium, jenis kelamin, hemodialisis, dukungan sosial    
OPTIMASI ALGORITMA SVM DAN K-NN BERBASIS PARTICLE SWARM OPTIMIZATION PADA ANALISIS SENTIMEN FENOMENA TAGAR #2019GANTIPRESIDEN Saepudin, Atang; Aryanti, Riska; Fitriani, Eka; Dahlia, Dahlia
JURNAL TEKNIK KOMPUTER Vol 6, No 1 (2020): JTK-Periode Januari 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v6i1.6828

Abstract

Analisis sentimen adalah proses untuk menentukan konten dataset berbasis teks yang positif atau negatif. Saat ini, opini publik menjadi sumber penting dalam keputusan seseorang dalam menemukan solusi. Algoritma klasifikasi seperti Support Vector Machine (SVM) dan K-Nearest Neighbor (k-NN) diusulkan oleh banyak peneliti untuk digunakan dalam analisis sentimen untuk pendapat ulasan. Namun, klasifikasi sentimen teks memiliki masalah pada banyak atribut yang digunakan dalam dataset. Fitur pemilihan dapat digunakan sebagai proses optimasi untuk mengurangi set fitur asli ke subset yang relatif kecil dari fitur yang secara signifikan meningkatkan akurasi klasifikasi untuk cepat dan efektif. Masalah dalam penelitian ini adalah pemilihan pemilihan fitur untuk meningkatkan nilai akurasi Support Vector Machine (SVM) dan K-Nearest Neighbor (k-NN) dan membandingkan akurasi tertinggi untuk analisis sentimen tweet / komentar yang menggunakan tagar # 2019GantiPresiden. Algoritma perbandingan, SVM menghasilkan akurasi 88,00% dan AUC 0,964, kemudian dibandingkan dengan SVM berdasarkan PSO dengan akurasi 92,75% dan AUC 0,973. Data hasil pengujian untuk akurasi algoritma k-NN adalah 88,50% dan AUC 0,948, kemudian dibandingkan untuk akurasi dengan PSO berbasis k-NN sebesar 75,25% dan AUC 0,768. Hasil pengujian algoritma PSO dapat meningkatkan akurasi SVM, tetapi tidak mampu meningkatkan akurasi algoritma k-NN. Algoritma SVM berbasis PSO terbukti memberikan solusi untuk masalah klasifikasi tweets/ komentar yang menggunakan tagar # 2019GantiPresiden di Twitter agar lebih akurat dan optimal.
PENGGUNAAN METODE PEMBERIAN TUGAS DALAM PENGEMBANGAN KREATIVITAS DI TK KARTIKA XVII-03 PONTIANAK UTARA Fitriani, Eka; Marmawi, Marmawi; Lukmanulhakim, Lukmanulhakim
Jurnal Pendidikan dan Pembelajaran Khatulistiwa Vol 8, No 2 (2019): Februari 2019
Publisher : Jurnal Pendidikan dan Pembelajaran Khatulistiwa

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Abstract

AbstractThis research was motivated by the fact that despite already using task giving method, but in preparing the instrument and materials which will be used, not all teachers can develop the children?s creativity. The general purpose of this research is to describe the use of task giving method in developing the creativity of children ages 5 to 6 in TK Kartika XVII-03 North Pontianak. The data sources consist of 1 teacher and 15 students from class B2. The conclusion of this research is that the teacher had used the task giving method effectively by preparing the instrument and materials which would be used and by guiding the children well. The learning results were also satisfying because after the fifth meeting, there was no question raised by the children. For the teacher, it is hoped that the children are paid attention to more so that they do not play on their own. In addition, it would be better if the media used were more varied so that the children would not be bored. Lastly, it is necessary to add more educational toys to boost the children?s learning and creativity.  Keywords: Creativity, Task Giving Method,
DEVELOPING SIGNS AND SONGS MATERIALS DEALING WITH THE 2013 CURRICULUM FOR THE SEVENTH GRADE STUDENTS IN MTsN BALANG-BALANG Mardiana, Mardiana; Fitriani, Eka
Langkawi: Journal of The Association for Arabic and English Vol 2, No 2 (2016)
Publisher : Institut Agama Islam Negeri (IAIN) Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.786 KB)

Abstract

This research aimed to develop Signs and Songs Materials based on 2013 curriculum for the Seventh Grade Student at MTsN. BalangBalang, Gowa. It was Research and Development (R&D) applied ADDIE model standing for Analysis, Design, Develop, Implement, and Evaluate. The procedures were; 1) analyzing materials needed by students; 2)designing the blueprint; 3) developing the materials through the syllabus of 2013 Curriculum; 4) implementing the product (try-out product); and 5) evaluating the product. The product was tried out to the seventh grade students at MTsN Balang-balang. Type of data obtained in this study was qualitative. The instruments used in this study were questionnaire and rubrics for teacher and expert. Then, the teacher and expert were involved in order to validate the product. They validated three systematic aspects of the product, namely; the organization of the Materials, English Teaching strategies or method, and the content of the materials. Finally, based on the teacher and expert judgment as well as try-out design result, it was found that the developed materials were applicable to be taught for the Seventh Grade of Junior High School as additional learning and teaching materials which help both students and teachers in learning process based on 2013 Curriculum.Keywords: Developing teaching material, signs and songs, the 2013Curriculum
Optimalisasi Sistem Informasi Akademik SMA Panca Moral Cikampek dengan SMS Gateway Aryanti, Riska; Indrajit, Richardus Eko; Fitriani, Eka
Perspektif Vol 15, No 2 (2017): September 2017
Publisher : www.bsi.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.183 KB) | DOI: 10.31294/jp.v15i2.2354

Abstract

Abstract  –  SMA Panca Moral Cikampek is a form of manifestation in guiding the younger generation in order to educate the nation of Indonesia, the increasing number of learners who are increasing each year from year to year, are required to provide information fast, precise and accurate. SMA Panca Moral Cikampek desperately needs an information system that support in the process of academic information services in the form of Short Message Service (SMS) gateway that can facilitate the students so that information obtained more quickly to be accepted by students. Short Message Service (SMS) is a facility to send and get text short message that many application on wireless communication scheme (wireless). To obtain the data searched based on the query from the user, forward or send the search results to the intended Short Message Service (SMS) then the query specified by this content is to apply information retrival algorithm with the N-Gram method and the biword index to group in certain categories more relevant. Kata Kunci:SMS gateway, information retrieval,N-Gram, index biword 
Penerapan Model Information Retrieval Untuk Pencarian Konten Pada Perpustakaan Digital Fitriani, Eka; Indrajit, Richardus Eko; Aryanti, Riska
Perspektif Vol 15, No 2 (2017): September 2017
Publisher : www.bsi.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.375 KB) | DOI: 10.31294/jp.v15i2.2350

Abstract

Digital library is the source of user information for library data search. The growing technology makes it easier for users to get the information they need. Digital libraries have a lot of content that causes search difficulties based on the interests of users. Using the N-Gram Method and Spelling Correction index applied to the search program will allow users to find the information they need, especially interest-based searches. This search process utilizes text information stored in digital library documents. In text documents, information is obtained directly from the content of the intended document. Keywords: Digital Library, information retrieval, N-Gram, Spelling Correction.