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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Pengabdian kepada Masyarakat Nusantara Tensor: Pure and Applied Mathematics Journal
Ilwaru, Venn Yan Ishak
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, University Of Pattimura
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Selection of Specialization Class Using Support Vector Machine (SVM) Method in Sekolah Menengah Atas Negeri 1 Ambon Tamaela, Stevanny; Lesnussa, Yopi Andry; Ilwaru, Venn Yan Ishak
CAUCHY Vol 6, No 4 (2021): CAUCHY: Jurnal Matematika Murni dan Aplikasi
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v6i4.8882

Abstract

The curriculum is a plan to form the abilities and character of children based on a standard. One of its form is the division of specialization classes at the high school level. The 2013 curriculum emphasizes that all students in Indonesia can practice their abilities based on their interests and talents, so students no longer choose majors but choose abilities (interests) in them specialize. This research uses the Support Vector Machine (SVM) method in specialization Decision Making System (DMS) at SMA Negeri 1 Ambon. By using the motivating acceptance factors and student selection as input data, this SVM method that processed with MATLAB Software produces a Classification of Interest Class with an accuracy rate more than 95%.
Penerapan Jaringan Saraf Tiruan Learning Vector Quantization Untuk Pemetaan Wilayah Berpenduduk Miskin di Provinsi Maluku Dorteus Lodewyik Rahakbauw; Venn Yan Ishak Ilwaru
Tensor: Pure and Applied Mathematics Journal Vol 1 No 1 (2020): Tensor : Pure And Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol1iss1pp25-30

Abstract

Badan Pusat Statistik (BPS) stated that the number of poor people in Indonesia reached 28.01 million people based on data as of March 2016. This figure is around 10.86 percent of the national population. Province of Maluku as the third poor contributor of all provinces in Indonesia reached 27.74 percent. Note that, there are 8 of total 11 districts/cities in Maluku which are determined as underdeveloped regions (Kementerian PDT, 2015), Maluku Barat Daya (MBD) is one of them. Based on data from BPS, in 2014 the percentage of poor people in district of MBD reached 28.33 percent being the second highest district in Maluku after Maluku Tenggara Barat (MTB). It is quite difficult make the poverty level of MBD lower, due to a large number of villages in MBD have some economic access isolations because of geographical conditions. Various programs and policies in social and health have been done to solve this poverty problem, but still could not overcome this problem yet. In this paper we have grouped the districts/cities of Maluku based on poverty factors using Learning Vector Quantization (LVQ) method. The results of this research showed that there are 5 poverty clusters in Maluku. Those are: Cluster 1 consists of Maluku Tenggara Barat, Maluku Utara dan Buru; cluster 2 consists of Maluku Tengah; cluster 3 consists of Kep. Aru, Seram Bagian Barat dan Seram Bagian Timur, cluster 4 consists of Maluku Barat Daya dan Buru Selatan; and cluster 5 consists of Ambon and Tual. Each cluster describes the poverty level with respect to its Partition matrix respectively. The results that we obtained also show that cluster 4 has the highest poverty level.
Optimization of Assignment Problems using Hungarian Method at PT. Sicepat Express Ambon Branch (Location: Java City Kec. Ambon Bay) Ardial Meik; Venn Yan Ishak Ilwaru; Monalisa E. Rijoly; Berny Pebo Tomasouw
Tensor: Pure and Applied Mathematics Journal Vol 3 No 1 (2022): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol3iss1pp23-32

Abstract

One of the special cases of problems in linear programming that is often faced by a company in allocating its employees according to their abilities is the assignment problem. The assignment problem can be solved using the Hungarian Method. In applying the Hungarian method, the number of employees assigned must be equal to the number of jobs to be completed. In this study, the Hugarian method was used to optimize the delivery time of goods from PT. SiCepat Express Ambon Branch – Java City. To solve the assignment problem at PT. SiCepat Express Ambon Branch – Java City, the required data includes employee names, destination locations, and delivery times. Before using the Hungarian method, the total delivery time of 7 employees at 10 destinations is 955 minutes. However, after using the Hungarian method, the total delivery time of 7 employees at 10 destination locations was 440 minutes. It can be seen that there are 515 minutes of time effisiency. We also Solved this assignment problem uses the QM For Windows Version 5.2 software and go the same amount of time, which is 440 minutes.
INFLATION FORECASTS IN AMBON USING NEURAL NETWORK APPLICATIONS BACKPROPAGATION Mozart W Talakua; Venn Yan Ishak Ilwaru; Berny P Tomasouw; Syella Z Limba
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.383 KB) | DOI: 10.30598/barekengvol16iss2pp483-496

Abstract

An artificial Neural Network is the processing of information systems on certain characteristics which are artificial representations based on human neural networks. Artificial Neural Networks can be applied to various fields in human life, one of which is the economic field. In this study, the Artificial Neural Network is used to predict the inflation rate using the Backpropagation method. The data used in this study is 144 data, with 100 data as training data and 44 data as test data taken from the Central Statistics Agency of Maluku Province from 2008-2019. The best prediction accuracy level is obtained by using learning rate (a) = 0.1, Target Error = 0.000001, Maximum epoch = 500, network architecture 11-1, and 70% training data sharing scheme and 30% test data. The average absolute error percentage (MAPE) is 85.21%.
Pemilihan Ketua Osis Sma Negeri 1 Seram Bagian Barat Menggunakan Aplikasi Pemilihan Berbasis Android Doms Upuy; Berny Pebo Tomasouw; Jefri Esna Thomas Radjabaycolle; Citra Fathia Palembang; Venn Yan Ishak Ilwaru; Achmad Syarief Syafie
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 1 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Sistem Informasi dan Teknologi (Sisfokomtek)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (861.586 KB)

Abstract

Teknologi digital yaitu tidak sepenuhnya lagi menggunakan tenaga manusia, tetapi pada sistem otomatis dengan pengoperasian komputer. Pada sekarang ini teknologi digital sudah memasuki berbagai bidang aspek kehidupan, dari bidang pendidikan, bidang transportasi, bidang kesehatan, bidang ekonomi dan berbagai bidang lainnya. Jenis teknologi komunikasi tak bisa lepas dari peran human. setiap harinya, human menggunakan teknologi komunikasi. misalnya digunakan untuk pemungutan suara (voting) sebagai fondasi utama dalam demokrasi. Sebelumnya sistem pemungutan suara hanya dilakukan dengan sistem voting nonelektronik (pencoblosan). Cara ini dilakukan oleh banyak kalangan dan dinilai masih konvensional pada kemajuan teknologi, dan juga memiliki banyak kelemahan seperti membutuhkan biaya yang besar untuk print kertas suara, lambatnya penghitungan suara dan juga kurang akuratnya hasil dari menghitungan surat suara karena sering muncul pertengkaran mengenai sah dan tidaknya kertas suara. Oleh karena itu, perlu diperkenalkan sistem pemungutan suara secara elektronik dengan menggunakan aplikasi pemilihan berbasis android kepada seluruh siswa SMA Negeri 1 Seram Barat. Dengan cara ini maka akan membantu proses pemilihan sehingga dapat berjalan dengan baik, cepat dan lancar serta tetap terjamin pemilihan secara langsung, umum, bebas, rahasia, jujur, dan adil. Kegiatan ini juga bertujuan untuk mengenalkan kepada masyarakat dalam hal ini para siswa tentang pemanfaatan teknologi digital dalam bidang demokrasi
PENJADWALAN WAKTU PROYEK PEMBANGUNAN RUMAH DENGAN MENGGUNAKAN CPM (CRITICAL PATH METHOD) Venn Yan Ishak Ilwaru; Dorteus L. Rahakbauw; Jeky Tetimelay
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 12 No 2 (2018): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.537 KB) | DOI: 10.30598/vol12iss2pp061-068ar617

Abstract

Penjadwalan proyek merupakan bagian yang paling penting dari sebuah perencanaan proyek, yaitu untuk menentukan kapan sebuah proyek dilaksanakan berdasarkan urutan tertentu dari awal sampai akhir proyek.CPM (Critical Path Method) merupakan salah satu metode yang di gunakan dalam menganalisis penjadwalan waktu kerja sebuah proyek. Tujuan dari penelitian ini adalah untuk mengetahui jalur kritis yang di dalamnya terdapat aktivitas-aktivitas kritis dan membandingkan penjadwalan waktu antara waktu kerja yang di jadwalkan pemilik proyek dan waktu kerja yang di jadwalkan dengan metode CPM, pada proyek pembangunan rumah tinggal tipe 84 ukuran 7m x 12m di desa Amahusu Kota Ambon. Dalam penelitian ini data yang di ambil adalah data primer, yang di peroleh langsung dari hasil wawancara antara pemilik proyek dan peneliti. Hasil pembahasan penelitian ini menunjukkan bahwa jalur kritis yang diperoleh jaringan kerja proyek pembangunan rumah ini adalah jalur A, B, E, J, N, O, Q yang meliputi aktivitas galian pondasi, pasang pondasi, pekerjaan (kusen, pintu, jendela), pemasangan gorden, pemasangan instalasi listrik, pengecatan, dan finishing. Sehingga waktu yang diperlukan untuk penjadwalan penyelesaian proyek tersebut berdasarkan hasil analisis CPM adalah 136 hari waktu normal dan 95 hari waktu cepat untuk penyelesaian proyek tersebut.
Co-Authors Achmad Syarief Syafie Ardial Meik Berny P Tomasouw Citra Fathia Palembang Doms Upuy Dorteus L. Rahakbauw JEFRI ESNA THOMAS RADJABAYCOLLE Jeky Tetimelay Mozart W Talakua RAHAKBAUW, DORTEUS LODEWYIK Rijoly, Monalisa E. Syella Z Limba Tamaela, Stevanny Tomasouw, Berny Pebo Yopi Andry Lesnussa