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PENERAPAN DATA MINING UNTUK ANALISIS MARKET BASKET DENGAN ALGORITMA FP-GROWTH PADA PD PASAR TOHAGA Rusnandi, Rusnandi; Suparni, Suparni; Pohan, Achmad Baroqah
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol 9, No 1 (2020)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v9i1.19349

Sales data in 3 different shops (shop, Shop Maker Fernando and Son) at Tohaga Market in the form of PD book transactions are only seen in the absence of follow-up to determine the decision on who will come. Party owner only records the transactions of products sold and only see income per month. But with that data should be utilized to strategize on sales to come. By using the method of Frequent Pattern Growth Algorithm, the store can take decisions which require goods inventory more compared to other goods, and the placement of the goods in accordance with the relationship between the goods that are usually purchased a consumer can also be determined based on a Minimum Support and Minimum Confidence. Based on Market Basket Analysis obtained from the calculation of the Association by using the method of Frequent Pattern Growth Algorithm, then search for the value of the support and confidence to use Association Rules, Rules that are generated will be test by using Software RapidMiner. Then the placement of goods and inventory items in 3 different stores can be controlled with either the service so that the consumer will be increased, which in turn can increase the sales turnover. In this study Support is determined using threshold 40% and 83% Confidence. Having regard to the relationship of support and confidence the store owner can provide and put the items to be sold

Metode Rapid Application Development dalam Sistem Informasi Geografis Rute Angkutan Umum Kota Depok (SIGEPOK) Berbasis Web Pohan, Achmad Baroqah; Setianingrum, Herlin Widasiwi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 7 No 2 (2019): September 2019
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v7i2.1826

Abstract Depok city, West Java, Indonesia is located in the south of Jakarta, between Jakarta and Bogor. This city has 2.1 million people in 2016 with a high mobility society characteristic. Therefore, they need adequate transportation mode for supporting their activities. The availability of information for public transportation route is a mandatory requirement for Depok city. The use of Internet technology for the implementation of geographic information system is expected to contribute to the success factor of public transportation service. In this study, the proposed system utilized Google Maps in processing and visualizing the public transport route map. The system is designed using Rapid Application Development software development that suitable for faster system development. With this information system, the community is expected to be easier to get information about public transport in Depok city. In addition, the purposed system could give the benefits, i.e. increasing the use of public transport, decreasing the use of private vehicle in people daily activities, and reducing the traffic jams in the city. The proposed system this study was a web-based GIS application that provides information about public transport service in the city of Depok. Keywords: Rapid Application Development, Geographic Information System, Public Transportation, Web Abstrak Kota Depok adalah sebuah kota di provinsi Jawa barat yang terletak tepat di selatan jakarta, yakni diantara Jakarta dan bogor. Populasi kota Depok pada tahun 2016 mencapai 2,1 juta penduduk dengan mobilitas masyarakatnya yang tinggi. Hal tersebut menjadikan masyarakat kota Depok sangat membutuhkan moda transportasi yang memadai untuk menjalankan segala aktifitasnya. Kemudahan informasi mengenai rute rute transportasi umum juga menjadi sebuah kebutuhan wajib bagi masyarakat kota Depok. Pemanfaatan teknologi internet untuk membangun sebuah sistem informasi geografis diharapkan dapat berkontribusi memberikan kemudahan bagi masyarakat dalam mendapatkan rute angkutan umum. Sistem ini memanfaatkan Google Maps dalam mengolah dan memvisualisasikan peta rute angkutan umum. Sistem dirancang dengan menggunakan metode pengembangan perangkat lunak Rapid Application Development, dengan harapan sistem lebih cepat diimplementasikan. Dengan adanya sistem informasi ini, diharapkan masyarakat lebih mudah mendapatkan informasi mengenai rute angkutan umum di kota Depok. Selain itu tujuan penelitian ini dapat berdampak peningkatan penggunaan transportasi umum oleh masyarakat dibandingkan penggunaan kendaraan pribadi saat melakukan aktifitas harian yang secara tidak langsung dapat mengurangi angka kemacetan di kota Depok. Hasil dari penelitian ini adalah sebuah aplikasi GIS berbasis web yang memberikan informasi rute rute angkutan umum di kota Depok. Kata kunci: Rapid Application Development, Sistem Informasi Geografis, Transportasi Umum, Web

Sistem Pendukung Keputusan Pemberian Pinjaman Pada KOPWALI Tangerang Dengan Metode AHP dan SAW Istianto Wahyu; Suparni Suparni; Achmad Baroqah Pohan
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 5, No 1 (2020): Mei 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Abstrak - Koperasi Warga Lingkungan (KOPWALI) adalah sebuah koperasi warga yang berfokus pada bidang simpan pinjam yang berada dikawasan Kota Tangerang. KOPWALI memberikan kesempatan anggotanya untuk melakukan pengajuan dana pinjaman, yang di setiap bulan nya ada lebih dari satu anggota melakukan pengajuan pinjaman dana. Namun untuk memutuskan anggota koperasi mana yang layak diprioritaskan menerima dana pinjaman masih menjadi kendala besar bagi koperasi ini. Maka perlu dirancang sebuah sistem informasi rekomendasi penerima dana pinjaman prioritas yang lebih efisien dan efektif. Metode AHP dan metode SAW dikombinasikan untuk menentukan prioritas penerima dana pinjaman terbaik. AHP digunakan untuk mengidentifikasi bobot dari setiap kriteria yang diambil dari matriks perbandingan berpasangan, sedangkan SAW menentukan setiap alternatif atau anggota yang mengajukan dana pinjaman paling tinggi prioritasnya untuk diberikan terlebih dahulu. Hasil pengujian tingkat akurasi yang didapat terhadap hasil rekomendasi pemilihan penerima dana menggunakan perhitungan Spearman Rank Correlation Coefficient menghasilkan nilai 0,25714286.Katakunci: AHP, koperasi simpan pinjam, sistem pendukung keputusan pemberian pinjaman, SAW Abstract - Koperasi Warga Lingkungan (KOPWALI) is a community cooperative that focuses on the field of savings and loans in the area of the City of Tangerang. KOPWALI gives members the opportunity to submit loan funds, which every month there is more than one member submitting loan funds. However, to decide which member of the Kopwali should be prioritized receiving loan funding is still a major obstacle for the cooperative. Then a more efficient and effective priority loan information system recommendation recipient information system needs to be designed . The AHP method and the SAW method are combined to determine the priority of loan recipients. The AHP method is used to identify the weights of each criterion taken from the pairwise comparison matrix, while the SAW method is used to determine each alternative or member who submits the highest priority loan funds to be given first. Based on testing the accuracy of the results obtained from the selection of recipients of loan funds that have been tested using the calculation of the Spearman Rank Correlation Coefficient which produces a value of 0.25714286.Keywords: AHP, decision support system for lending funds, saving and credit cooperatives, SAW

Employee Performance Apparaisal Using Decision Support System by AHP and TOPSIS Methods Achmad Baroqah Pohan; Sofian Wira Hadi; Syaifur Rahmatullah; Robi Aziz Zuama; Achmad Rifai; Deni Gunawan
JURNAL TEKNIK KOMPUTER Vol 7, No 1 (2021): JTK-Periode Januari 2021
Publisher : Universitas Bina Sarana Informatika

During this time the performance appraisal of PT. Injep Inti Cemerlang has not been implemented optimally, especially in employee performance appraisal. Performance appraisal so far is only determined from the results, there are no clear appraisal criteria. Based on this reason, a decision support system is needed to help find the best alternative for the employees selection. In this research a decision support system for employee performance appraisal will be developed based on Attitude, Responsibility, Attendance, Discipline and Collaboration. This research aims to design a decision support system for employee performance appraisal using data collection methods by observation, interviews and giving questionnaires to employees of PT. Injep Inti Cemerlang. The data collected is carried out the process of analyzing data and looking for weighting values using the AHP method and for ranking using the TOPSIS method, where each criterion is appraisal factors and alternatives in this case employees are compared the criteria that have been weighted through the process of calculating the AHP and TOPSIS method starting from giving the weighting of criteria by calculating with Ms. Excel and calculating with Expert Choice software. The results have been obtained from weighting the next ranking by the TOPSIS method. thus providing a value output that results in a system that employees appraisal. This decision support system helps the employee performance apprasial at PT. Injep Inti Cemerlang in determining the employee who has the best performance

Pengembangan Media Pembelajaran Interaktif Pelajaran Matematika Mengenal Bangun Ruang Dengan Metode Inkuiri Untuk Siswa Tingkat Dasar Achmad Baroqah Pohan; Nur Rosit Jaelani
Jurnal Khatulistiwa Informatika Vol 6, No 1 (2018): Periode Juni 2018
Publisher : Universitas Bina Sarana Informatika

Penelitian ini bertujuan untuk mendeskripsikan pengaruh model pembelajaran interaktif berbasis inkuiri dan kemampuan numerik terhadap hasil belajar Matematika. Penelitian ini dilaksanakan di SD Negeri 1 Giyanti sebanyak 35 Siswa dari Kelas 3. Pengumpulan data dilakukan melalui observasi lapangan, dokumen nilai belajar siswa untuk pelajaran matematika dan wawancara dengan Guru serta orang tua terkait proses pembelajaran yang sedang berlangsung. Model Perangkat lunak yang digunakan dalam pengembangan perangkat lunak animasi menggunakan model Waterfall. Perancangan animasi menggunakan Adobe Flash CS3 dan Actionscript 3.0. Materi animasi berupa bangun ruang dan juga terdapat soal yang berbentuk permainan untuk menarik minat siswa. Pengujian kualitas perangkat lunak akan dilakukan dengan menggunakan blackbox testing. Sedangkan hasil penelitian disajikan melalui grafik Pretest dan Posttest serta pengujian kualitas perangkat lunak menggunakan Model ISO 9126. Hasil penelitian menunjukkan (1) hasil belajar matematika siswa yang belajar dengan model pembelajaran inkuiri lebih tinggi daripada siswa yangbelajar dengan pembelajaran konvensional, (2) terdapat motivasi yang lebih tinggi dari siswa dengan penerapan animasi dalam proses pembelajaran, (3) adanya pengaruh interaktif antara model pembelajaran dan kemampuan numerik siswa terhadap hasil belajar.Kata kunci: Metode Inkuiri, Matematika, Animasi

Analisa Algoritma Apriori Pada Pola Peminjaman Buku di Perpustakaan ITB Ahmad Dahlan Dessi Eka Satie; Suparni Suparni; Achmad Baroqah Pohan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1475

The library is a source of information and a place of learning. Each book lending information is stored by the library so as to produce large data lending books. Big data if not utilized will create problems in the future. In this study, researchers will utilize a priori algorithms and Tanagra software to group library book borrowing data at Ahmad Dahlan ITB based on trends that occur together in library visit activities. In the process of borrowing books, of course the raw data will be processed by dividing it into different pieces of data. Among the lending data tables processed are general lending tables, 2-itemset candidate tables, lending tabular tables, support value tables, confidence value tables. From the results of this study it can be seen what books are often borrowed together with a minimum support of 5% and 10% confidence one of which is Taxation and Taxation Accounting with a minimum support of 7.30% confidence 62.79%. And can be used as a reference for ITB Ahmad Dahlan in the procurement and placement of library book layout.

Metode Simple Additive Weighting Untuk Sistem Pendukung Keputusan Pengangkatan Karyawan Ibnu Alfarobi; Entin Sutinah; Achmad Baroqah Pohan; Andre Gusti Hermawan
JIEET (Journal of Information Engineering and Educational Technology) Vol. 5 No. 2 (2021)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v5n2.p68-77

Salah satu faktor penting yang menentukan keberhasilan suatu perusahaan jasa dalam mencapai sebuah target yang telah ditentukan oleh perusahaan adalah sumber daya manusia. Dalam sebuah perusahaan ketika melakukan proses seleksi karyawan baru maupun karyawan kontrak yang akan dijadikan sebagai karyawan tetap haruslah objektif. Namun, banyak perusahaan yang masih belum mempunyai tolak ukur penilaian yang baku. Hal ini dapat menyebabkan karyawan yang telah dipilih tidak dapat memenuhi kriteria standar yang sudah ditentukan oleh perusahaan. Hotel Ciputra juga mengalami kendala tersebut, yakni kurangnya objektivitas saat memilih karyawan kontrak yang akan dijadikan karyawan tetap. Dalam penelitian ini penulis telah menganalisa bagaimana cara menentukan pengangkatan karyawan yang baik yang dapat digunakan oleh pihak manajemen hotel dengan membangun sebuah sistem pendukung keputusan menggunakan metode Simple Additive Weighting (SAW). Adapun kriteria yang dipakai yaitu: absensi, tingkat pendidikan, keahlian, job knowledge, kerjasama, kualitas kerja, kemampuan berbahasa inggris, dan lain-lain. Berdasarkan hasil penelitian, dengan menerapkan metode SAW pada proses seleksi karyawan tetap ini terbukti sangat membantu manajemen hotel dalam menentukan siapa calon kandidat karyawan yang terbaik.

Sistem Pendukung Keputusan Penilaian Kinerja Karyawan PT. Injep Inti Cemerlang Dengan Metode AHP dan TOPSIS Achmad Baroqah Pohan; Sofian Wira Hadi; Suparni Suparni
Ultima Computing : Jurnal Sistem Komputer Vol 11 No 2 (2019): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

During this time the performance appraisal of PT. Injep Inti Cemerlang has not been implemented optimally, especially in assessing employee performance. So far, performance appraisal is only determined from the results of its work, there are no clear assessment criteria. For this reason, a decision support system is needed to help find the best alternative for the selection of employees. in this study a decision support system for employee performance appraisal will be developed based on Attitude, Responsibility, Attendance, Discipline and Cooperation. This study aims to design a decision support system for employee performance appraisal using data collection methods by observation, interviews and giving questionnaires to employees of PT. Injep Inti Cemerlang. The data collected is carried out the process of analyzing data and looking for weighting values using the AHP method and for ranking using the TOPSIS method, where each criterion is in this case. assessment factors and alternatives in this case employees are compared with criteria that have been weighted through the process of calculating the ahp and topsis method starting from giving the weighting of criteria by calculating with Ms.Excel and calculating with Expert Choice software. The results have been obtained from weighting the next ranking by the TOPSIS method. thus providing a value output that results in a system that assesses employees. This decision support system helps assess the performance of each employee of PT. Injep Inti Cemerlang in determining the employee who has the best performance

PENERAPAN DATA MINING UNTUK ANALISIS MARKET BASKET DENGAN ALGORITMA FP-GROWTH PADA PD PASAR TOHAGA Rusnandi Rusnandi; Suparni Suparni; Achmad Baroqah Pohan
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 9 No. 1 (2020)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v9i1.19349

Sales data in 3 different shops (shop, Shop Maker Fernando and Son) at Tohaga Market in the form of PD book transactions are only seen in the absence of follow-up to determine the decision on who will come. Party owner only records the transactions of products sold and only see income per month. But with that data should be utilized to strategize on sales to come. By using the method of Frequent Pattern Growth Algorithm, the store can take decisions which require goods inventory more compared to other goods, and the placement of the goods in accordance with the relationship between the goods that are usually purchased a consumer can also be determined based on a Minimum Support and Minimum Confidence. Based on Market Basket Analysis obtained from the calculation of the Association by using the method of Frequent Pattern Growth Algorithm, then search for the value of the support and confidence to use Association Rules, Rules that are generated will be test by using Software RapidMiner. Then the placement of goods and inventory items in 3 different stores can be controlled with either the service so that the consumer will be increased, which in turn can increase the sales turnover. In this study Support is determined using threshold 40% and 83% Confidence. Having regard to the relationship of support and confidence the store owner can provide and put the items to be sold

IMPLEMENTATION OF DECISION TREE AND K-NN CLASSIFICATION OF INTEREST IN CONTINUING STUDENT SCHOOL Daniati Uki Eka Saputri; Fitra Septia Nugraha; Taopik Hidayat; Abdul Latif; Ade Suryadi; Achmad Baroqah Pohan
Jurnal Techno Nusa Mandiri Vol 17 No 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Education is important to prepare quality Human Resources (HR) because quality human resources is an important factor for the nation and state development. Therefore, it is expected that every citizen has the right to get high educational opportunities from the 12-year compulsory education level. This study aims to implement the Decision Tree and K-NN algorithm in the classification of student interest in continuing school. This study proposes combining the Decision Tree and K-NN algorithm methods to improve accuracy with the Gain Ratio, Information Gain and Gini Index approaches for the measurement process. The test results show that the use of the Decision Tree algorithm produces an accuracy value of 97.30% while using the K-NN algorithm produces an accuracy of 89.60%. While the proposed method by combining the Decision Tree and K-NN algorithms produces an accuracy value of 98.07%. The results of evaluation measurements using the Area Under Curve (AUC) on the Decision Tree algorithm are 0.992 and the AUC on K-NN is 0.958 and on the combination of the Decision Tree and K-NN algorithms of 0.979. These results indicate that the proposed algorithm is very significant towards increasing accuracy in the classification of the interests of high school students continuing school

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