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All Journal Jurnal Teknik Komputer Paradigma JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Ilmiah Islamic Resources Jurnal Litbang Kota Pekalongan Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Simpatik: Jurnal sistem Informasi dan Informatika
Eka Fitriani
Universitas Bina Sarana Informatika
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Penerapan Algoritma C4.5 Untuk Klasifikasi Penempatan Tenaga Marketing Eka Fitriani; Riska Aryanti; Atang Saepudin; Dian Ardiansyah
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM 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
STRATEGI PROMOSI KESEHATAN DALAM UPAYA PENURUNAN ANGKA KEMATIAN IBU (AKI) DI KOTA PEKALONGAN Priharwanti, Ardiana; Fitriani, Eka; Baiti, Nurul
JURNAL LITBANG KOTA PEKALONGAN Vol 13 (2017)
Publisher : BAPPEDA Kota Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.066 KB)

Abstract

Angka kematian ibu merupakan salah satu permasalahan kesehatan di Indonesia. Kasus kematian Ibu di Kota Pekalongan pada rentang tahun 2012 – 2016 cenderung meningkat. Laporan tahunan program kesehatan Ibu Dinas Kesehatan Kota Pekalongan tahun 2016 menunjukkan bahwa jumlah kematian Ibu lima tahun terakhir yaitu 37 kasus, 5 kasus pada 2012, 6 kasus berturut- turut pada 2013 – 2015 dan 8 kasus pada 2016. Sedangkan pada awal tahun 2017 sudah terdapat kasus kematian ibu sebanyak 2 kasus. Penelitian ini mengkaji secara mendalam strategi promosi kesehatan dalam upaya penurunan AKI di Kota Pekalongan. Metode yang digunakan adalah studi kualitatif. Kasus kematian ibu di Kota Pekalongan disebabkan oleh banyak faktor meliputi tingkat pengetahuan ibu yang kurang, layanan kesehatan dan faktor budaya. Strategi promkes untuk menurunkan AKI di Kota Pekalongan adalah melalui strategi ABG (Advokasi, bina suasana dan pemberdayaan masyarakat) melalui penguatan koordinasi lintas sektor baik pemerintah terkait, bina suasana dengan tokoh masyarakat, kader, dan masyarakat. Penguatan jaringan informasi melalui teknologi untuk memantau keadaan Ibu hamil, pendampingan oleh institusi perguruan tunggi yaitu Gerakan Kampus Mengawal Generasi., dan mengaplikasikan salah satu pilar dari Safe Motherhood yaitu Keluarga Berencana melalui penguatan kampung KB.
Efforts to Improve Activeness and Learning Outcomes of Integrated Social Sciences Through Time Token Type Cooperative Learning Model Herianto, Agus; Nurjannah, Nurjannah; Mahsup, Mahsup; Muhardini, Sintayana; Ibrahim, Ibrahim; Fitriani, Eka
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 7, No 3 (2021): September
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.868 KB) | DOI: 10.33394/jk.v7i3.2626

Abstract

This research aims to improve the activeness and results of integrated IPS learning by implementing a cooperative learning model of Time Token type (TITO). This type of research is class action research with the subject of the study is grade VII students MTs Nurul Masak in school year 2019/2020. Research was carried out in three cycles, each cycle was carried out with 2 actions and consisted of 4 stages namely planning, implementation, observation, and reflection. The population and samples in the study were grade VII students of MTs Nurul Masakin. The research instruments used in the implementation of this action research were observations, interviews, and field notes as well as tests of students' learning outcomes on each cycle. This study used two forms of data analysis, namely quantitative analysis and qualitative analysis. Quantitative data were obtained from the percentage of students' activities in participating during the learning process and student learning results and qualitative data were used to describe data in the form of numbers in order to provide a clear picture of the activities and learning results that had been done. Based on the results of the study it showed that there was an improvement in Integrated Social Science learning outcomes using the Method of Cooperative Learning Type Time Token (TITO) which was the average value gain that each cycle increased. In Cycle I the average value obtained was 6.5, while  in cycle II the average gain value reached 7.40 and in cycle III, the average value reached 8.18.
Penerapan Metode Integratif dalam Meningkatkan Hasil Belajar Peserta Didik Negsi, Ratika; Hakim, Ahmad; Fitriani, Eka
Jurnal Ilmiah Islamic Resources Vol 18, No 1 (2021): Juni
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/jiir.v18i1.126

Abstract

Penelitian ini bertujuan untuk memahami dengan jelas penerapan Metode Integratif dalam proses pembelajaran sehingga dapat meningkatkan hasil belajar peserta didik kelas IX pada mata pelajaran Pendidikan Agama Islam di SMP Pesantren Putri Yatama Mandiri Kab. Gowa. Penelitian ini merupakan jenis Penelitian Tindakan Kelas dengan cara mengevaluasi masalah proses pembelajaran dalam kelas dengan metode yang komprehensif dengan tujuan menyelesaikan persoalan dan mengambil beragam aksi yang telah diencanakan pada kondisi actual dan menganalisis metode perbaikkan dan dampaknya. Teknik yang digunakan dalam mengumpulkan data adalah Observasi, Wawancara, Tes dan Dokumentasi. Penelitian ini dilakukan berdasarkan alur penelitian metode Kemmis dan Mc Taggar yang dimana metode tersebut terdapat 2 siklus yang setiap siklus mempunyai empat tahap yaitu, planning, action, observasi, dan reflection. Dari hasil penelitian yang didapatkan oleh peneliti dimana menunjukkan adanya peningkatan hasil belajar peserta didik pada proses pembelajaran PAI tentang materi “Proses Penciptaan Manusi pada Surah Al-Mukminun ayat 12-14” dengan materi tentang “Proses Pembentukkan/ Perkembangan Manusia dalam rahim”, Berdasarkan hasil dari tes Pra Siklus, Siklus I serta dalam Siklus II. Hal ini terlihat dari hasil belajar peserta didik 11% pada Pra Siklus, meningkat menjadi 54% pada Siklus I, kembali meningkat menjadi 89% di Siklus II. Berlandaskan pada apa yang dijelaskan di atas, dengan ini biasa dipahami bahwasanya penelitian tentang Penerapan Metode Integratif bisa meningkatkan Hasil Belajar pesertadidik pada bisang studi Pendidikan Agama Islam (PAI) Kelas IX SMP Pesantren Putri Yatama Mandiri Kab. Gowa.
Penerapan Metode Rapid Application Development Dalam Pengembangan Sistem Informasi Akademik Berbasis Web Aryanti, Riska; Fitriani, Eka; Ardiansyah, Dian; Saepudin, Atang
Paradigma - Jurnal Komputer dan Informatika Vol 23, No 2 (2021): Periode September 2021
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v23i2.11170

Abstract

SMA Panca Moral Cikampek merupakan suatu perwujudan dalam membentuk, mendidik genarasi muda bangsa Indonesia. Semakin bertambahnya jumlah siswa setiap tahunnya, dituntut ketepatan dan ketelitian dalam memberikan suatu informasi yang akurat dan tepat kepada siswa tanpa adanya perulangan data atau informasi yang sama. SMA Panca Moral Cikampek sangat membutuhkan adanya sebuah sistem yang dapat menunjang dalam proses penyajian informasi akademik. Untuk menangani masalah tersebut maka dibutuhkan suatu sistem Informasi Akademik Berbasis Web Pada SMA Panca Moral Cikampek sebagai salah satu solusi untuk memberikan sebuah informasi secara akurat, cepat dan tepat. Sistem informasi akademik yang ditawarkan dapat mengelola mengenai informasi akademik baik data absensi siswa, absen mengajar masuk dan absen mengajar guru, mengelola data nilai, jadwal pelajaran, jadwal mengajar guru, serta dapat menerbitkan informasi-informasi yang berhubungan dengan akademik. Pengembangan sistem informasi akademik berbasis web ini menggunakan metode rapid application development(RAD), model pengembangan ini digunakan karena model ini dianggap model dengan mengutamakan waktu, sehingga pengerjaannya relatif singkat sehingga dengan adanya pengembangan sistem informasi ini dapat berguna dalam memberikan kemudahan baik pelajar maupun kepada pengajar.
Komparasi Algoritma Naive Bayes Dengan Algoritma Genetika Pada Analisis Sentimen Pengguna Busway Riska Aryanti; Atang Saepudin; Eka Fitriani; Rifky Permana; Dede Firmansyah Saefudin
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (204.905 KB) | DOI: 10.31294/jtk.v5i2.5406

Abstract

Congestion major cities in Indonesi caused by the proliferation of the use of private vehicles. Some expressing he thinks about busway user through the social media and other web site, This opinion can be used as a sentiment analysis to see if the user busway proposes a review of positive or negative. The results of the analysis sentiment can help in the sight of and evaluate the use of busway, also expected to improve and transjakarta facility from so they tend to have an opinion positive. Based on the results of the analysis, sentiment it is hoped people will switch to using the will of course will reduce congestion. In the study also added the stages preprocesing by using the framework gataframework to complete the process that cannot be done on tools rapidminer. The methodology that was used in this research was it is anticipated that analysis the sentiment of the by the application of an genetic algorithm for an election features with an algorithm naive bayes. From the results of the testing to the case in research it is found that classification algorithm naive bayes based genetic algorithm having the kind of accuracy that good enough 88,55 % and value of auc reached 0,813 % with the level of the diagnosis classifications good. So that in this research classification algorithm naive bayes based genetic algorithm can be recommended as algorithms classifications good enough to analyze the busway user sentimen. Based on analysis is expected to private transport users will switch to using the busway will reduce congestion
Optimasi Algoritma SVM Dan k-NN Berbasis Particle Swarm Optimization Pada Analisis Sentimen Fenomena Tagar #2019GantiPresiden Atang Saepudin; Riska Aryanti; Eka Fitriani; 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 | Full PDF (23.407 KB) | 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.
Perancangan Sistem E-Commerce Menggunakan Model Rapid Application Development Pada Pengurus Cabang Judo Karawang Atang Saepudin; Riska Aryanti; Eka Fitriani; Dian Ardiansyah
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v23i1.9822

Abstract

The development of information technology which is increasingly advanced and dynamic and the increasing competition in the global market has made all competition, both labor and business sectors, tighter. Of course this affects all types of businesses and business actors must start thinking about new breakthroughs so that their business can survive and be able to compete with other business competitors. The lack of breakthrough in marketing is experienced by the Judo Karawang Branch Management, where marketing is the spearhead of a business. So, if the marketing strategy is blunt, it will have an impact on the process of business activities. In order for these businesses to survive, the use of information technology is of course the main choice in business development, especially in terms of promotion and sales of services so that they can compete with other businesses. To increase competitiveness and to obtain other business opportunities, this can be done by taking advantage of developments in Information and Communication Technology (ICT). The system development method used in this study is the Rapid Application Development model. This model is used because it is considered a development method that has a short and fast development time. Referring to previous research, the researcher chose this RAD model because it was considered appropriate for the e-commerce system that the researcher built. E-commerce will make it easier for producers in marketing activities and also cut operating costs for trading and marketing activities so that it will increase sales volume and increase revenue. This increase in income will eventually expand the business.
PERANCANGAN SISTEM INFORMASI AKADEMIK MADRASAH ALIYAH NEGERI (MAN) 4 KARAWANG BERBASIS WEB Dian Ardiansyah; Atang Saepudin; Riska Aryanti; Eka Fitriani
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 3 No 2 (2020): Jurnal Teknologi dan Open Source, December 2020
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v3i2.783

Abstract

The development of web-based information technology is currently increasing. One of them is the website. The website has the advantage that all the information you want can be easily and cheaply obtained. Madrasah Aliyah Negeri (MAN) Rengasdengklok or now known as MAN 4 Karawang currently processing academic data, especially in processing grades is still very simple, namely only with Microsoft Excel. The presence of this academic information system is expected to help teachers and students get academic information more quickly, easily and cheaply. In building this system the writer uses the waterfall methodology. The design and implementation were carried out with the Dreamweaver programming language and PHP and the database used by PhpMyAdmin. With this academic information system, hopefully it can help to support school performance, especially for processing academic data.
Implementasi Metode Naive Bayes Dalam Penyeleksian Karyawan untuk Penempatan Bagian Pemasaran Eka Fitriani; Royadi Royadi; Atang Saepudin; Dian Ardiansyah; Riska Aryanti
JURNAL TEKNIK KOMPUTER Vol 8, No 2 (2022): JTK Periode Juli 2022
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v8i2.12532

Abstract

Marketing is a job that has a scope of work on the promotion of a product, goods or service. The problem that always occurs in the company is that there is no department responsible for selecting reliable marketing employees. The existence of these problems resulted in the process of recruiting employees for the new marketing division which was still not carried out professionally. This can happen because there is no standard method to be able to support in assessing the selection of prospective employees in the marketing department, it is necessary to do an analysis related to the selection of employees in the placement of the marketing department. By holding the analysis process for employees in the placement of a new marketing division, it can be seen whether the prospective marketing division employee passes or does not pass. From the existing problems, a data mining classification method is used to predict the selection of employees for the Marketing section by using the nave Bayes method. After testing using the nave Bayes method, it produces an accuracy value of 87.22% and an AUC value of 0.920 with an Excellent Classification diagnostic level. So it can be concluded that using the nave Bayes method can be a good method for implementation in selecting employees for placement in the Marketing department.
Co-Authors Abdussomad Agus Herianto Ardiana Priharwanti Atang Saepudin Baiti, Nurul Dahlia Dahlia Dede Firmansyah Saefudin Dian Ardiansyah Dila Delia Fadilah Hakim, Ahmad Ibrahim Ibrahim Mahsup, Mahsup Muhardini, Sintayana Negsi, Ratika Nurjannah Nurjannah Rifky Permana Riska Aryanti Royadi Royadi Royadi