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Algor
Published by Universitas Buddhi Dharma
ISSN : 27150569     EISSN : 27150577     DOI : https://doi.org/10.31253/algor
Core Subject : Science,
Computer Science & IT
The ALGOR Journal is open access published by the Faculty Sains & Technology of Buddhi Dharma University. ALGOR main goal is to provide a platform for academics, researchers and students to share contemporary thinking in the field of informatics. The ALGOR Journal publishes research papers in informatics such as Datamining, Cloud Computing, Robotics and Sensor, Expert System, IoT
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 116 Documents
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Penerapan Data Mining Untuk Rekomendasi Beasiswa Pada SD Maria Mediatrix Menggunakan Algoritma C4.5 Eko Budiarto; Rino Rino; Susanto Hariyanto; Dera Susilawati
ALGOR Vol. 3 No. 2 (2022): Data Analysis, Data Mining
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v3i2.1019

Abstract

SD Maria Mediatrix merupakan instansi yang bergerak dalam bidang pendidikan yang mengikuti berbagai program pemerintah dalam menunjang kelancaran belajar, seperti beasiswa Program Indonesia Pintar (PIP). Proses seleksi penerimaan beasiswa pada SD Maria Mediatrix sejauh ini masih dilakukan secara konvensional yang sering kali menimbulkan beberapa permasalahan, antara lain membutuhkan waktu yang lama dan hasilnya kurang tepat sasaran. Oleh karena itu, dilakukan penelitian serta perancangan sebuah aplikasi yang dapat mengklasifikasi penerima beasiswa dengan metode klasifikasi, serta menggunakan C4.5 sebagai algoritmanya. Tujuan dari penelitian ini adalah melakukan implementasi klasifikasi dengan algoritma C4.5 ke dalam sebuah aplikasi berbasis web yang diharapkan dapat membantu SD Maria Mediatrix dalam menentukan penerima beasiswa, yaitu dengan mengumpulkan data siswa yang akan digunakan sebagai dataset. Dataset tersebut kemudian dilakukan pengambilan sampel data untuk keperluan perhitungan manual. Proses perhitungan secara manual berfungsi untuk mengetahui alur dari perhitungan agar dapat diimplementasikan dengan baik pada aplikasi yang akan dibuat. Aplikasi berbasis web yang dihasilkan melakukan proses perhitungan C4.5 dan pembentukan aturan klasifikasi secara otomatis dari data siswa yang dimasukkan, pengguna aplikasi cukup menginput nama siswa, penghasilan ayah, penghasilan ibu, pemegang KIP, jumlah saudara, dan jarak rumah hasilnya akan mengetahui siswa tersebut layak mendapat beasiswa atau tidak.
Perancangan Sistem Informasi Pengaduan Masyarakat Berbasis Web Dengan Menggunakan Framework Laravel Avandy Wijaya; Indah Fenriana; Lianny Wydiastuty Kusuma; Ellysha Kusuma
ALGOR Vol. 3 No. 2 (2022): Data Analysis, Data Mining
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v3i2.1036

Abstract

In this day and age technology is growing rapidly and technology has an important role in all aspects of human life, especially websites which are currently becoming media information that is very easy to achieve using only the internet. Website is a web page that can be accessed by the public using the internet, and the website also has a domain name that is owned by each website. In addition, the website can also be opened via computers, laptops, smartphones, tablets, and so on. The purpose of this research is to design a system that has the Create and Read feature which will later be used by the public in reporting, to design a website public complaint system so that information sent by the public to the government is fast and accurate, based on a website-based public complaint system located on the website. In it there is a feature that can send an email to notify that the information provided by the public has been received, or it is resolved with the SMTP feature which later on the public can find out the complaint process. The system made is web-based using the Laravel framework, the system is made based on the public complaint system, consisting of people who can upload and send complaints to the government as well as people who see the status of their complaints, besides that there are admins who can view and process complaints, can add officers, and can print report data in the form of pdf. Officers can only view and process complaints and can print report data in the form of pdf, where users of this system are admins and officers from government and the community are users.
Online Crowdfunding Platform Information System Amesanggeng Pataropura
ALGOR Vol. 3 No. 2 (2022): Data Analysis, Data Mining
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v3i2.1035

Abstract

In the modern world, especially in the field of crowd funding, technology is getting more advanced to facilitate fundraising activities. By utilizing computer technology in the field of crowd funding, it will facilitate fundraising activities carried out by creators and providing funds by donor. Such as can be done online fundraising. Currently there are still many people who carry out manual fundraising activities which require a lot of time because they have to make documents to support fundraising and they have to approach potential donor. The possibility of losing data on donors who have provided funds is very likely because funder data is only written in a book which causes the data to become irregular. To solve the existing problem is to create a system that can store data on fundraisers and donors electronically. Computerized systems can help fundraisers (creators) and donors. This system is made with the waterfall method and uses a web base where users need an internet connection to access this system.
Aplikasi Data Mining Berbasis Web Menggunakan Algoritma Apriori Untuk Analisa Pola Pembelian Barang Pada PT Menara Bahagia Bersama Gaerry Setiawan; Dicky Surya Dwi Putra; Hartana Wijaya
ALGOR Vol. 3 No. 2 (2022): Data Analysis, Data Mining
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v3i2.1020

Abstract

abstract
Model Prediksi Untuk Menentukan Predikat Kelulusan Siswa Menggunakan Algoritma Naïve Bayes Dan Mlp: Studi Kasus Smk Buddhi Tangerang Santa Margita
ALGOR Vol. 3 No. 2 (2022): Data Analysis, Data Mining
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v3i2.1429

Abstract

Students of Vocational High School received the title of graduation after finished their studies. Whether graduating students capable or not to get high predicate was influenced by several factors. The factors that could affect the values are the averages of report, National Examination (UN), skill, Vocational Competency Exam (UKK), and attitude in knowing the pattern of these variables. The previous research showed that Naïve Bayes algorithm has high accuracy value. Accuracy value obtained prove that the Naïve Bayes has good accuracy percentage. Thus this algorithm can predict graduating students of SMK Buddhi Tangerang in terms of determining the predicate obtained. This research used the Naïve Bayes algorithm and MLP in knowing the pattern of these variables. Testing was done by Confusion Matrix. The percentage results of accuracy proved that the Naïve Bayes was 92%, while MLP 90%. Thus Naïve Bayes algorithm has higher accuracy value than MLP. Naïve Bayes algorithm could predict the predicate which was obtained by graduating students of Buddhi Dharma Vocational High School Tangerang. Keywords : Naïve Bayes, MLP, vocational students, data mining, vocational
Implementasi Web Service pada Aplikasi Pemesanan Makanan Berbasis Android Edy Edy; Daniel Adhinugraha; Likodemus Priko
ALGOR Vol. 3 No. 2 (2022): Data Analysis, Data Mining
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v3i2.1449

Abstract

Teknologi informasi sudah menyebar bukan hanya sebatas pada teknologi komputer, tetapi juga untuk tenologi komunikasi seperti telepon genggam yang saat ini sudah mampu mengelola berbagai data layaknya komputer. Telepon genggam yang mempunyai kemampuan tersebut atau disebut smartphone sudah menjadi kebutuhan sehari-hari yang dapat membantu berbagai macam kebutuhan pengelolaan informasi karena disematkan sistem operasi dan aplikasi lainnya untuk berbagai keperluan. Contohnya adalah keperluan untuk pendataan menu makanan pada suatu perusahaan yang menyedikan konsumsi untuk karyawannya. Dengan bantuan aplikasi smartphone data dan informasi tentang menu makanan dan pilihan menu dari karyawan dapat dikumpulkan dengan lebih mudah menggunakan Web Service yang kemudian dilakukan pengeloaan pada sistem informasi pengelolaah menu tersebut. Berdasarkan hasil kuisioner, Aplikasi ini sangat membantu para karyawan dalam melakukan proses pemesanan dengan 85.2% menyatakan setuju dengan pengunaan tersebut
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN GURU BERPRESTASI PADA SMKN 1 PUGUNG, TANGGAMUS Eka - Ridhawati
ALGOR Vol. 3 No. 2 (2022): Data Analysis, Data Mining
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v3i2.1490

Abstract

Sekolah Menengah Kejuruan Negri 1 Pugung merupakan sekolah yang memiliki kualifikasi tersendiri dalam memilih tenaga pengajar untuk menjadi guru di sekolah tersebut, dan juga untuk menentukan guru yang berprestasi. Pemilihan guru berprestasi merupakan metode yang digunakan sebagai bentuk penghargaan kepada pekerjaannya dengan kinerja belajar mengajar selama menjadi tenaga pengajar. Adapun permasalahan dari pemilihan guru berprestasi yaitu adanya kendala dalam menentuka kriteria dan tidak tepat. Untuk itu dibutuhkan sistem pendukung keputusan (SPK) atau Decision support system yang dapat memperhitungkan kriteria yang sudah di tentukan untuk mempermudah dalam pengambilan keputusan, adapun kriteria yang di tentukan yaitu ; Nilai kehadiran, nilai disiplin, nilai kerjasama dan nilai prestasi. Sistem pendukung keputusan ini menggunakan metode simple additive weighting (SAW). Adapun tujuan dari sistem pendukung keputusan pemilihan guru berprestasi yaitu untuk mengapresiasi prestasi kerja yang telat dilakukan selama manjadi tenaga pengajar dan diharapkan dapat menambah motivasi guru dan peserta didik lainya agar lebih meningkatkan kinerja dalam belajar mengajar. Dari hasil penelitian ini dengan kesimpulan diharapkan dapat mempermudah kepala sekolah dan pengawas sekolah dalam menilai guru berprestasi berdasarkan kriteria yang telah ditentukan, serta disarankan bahwa sistem pendukung keputusan ini dapat dikembangkan dengan metode yang berbeda atau mengkombinasikan metode SAW dengan metode lain.
Penerapan Data Mining Untuk Merekomendasikan Seri Produk NAS Kepada Calon Konsumen Toko Storage Menggunakan Algoritma Multinomial Naïve Bayes Fernando Verdy Sunata; Susanto Hariyanto; Dicky Surya Dwi Putra; Hartana Wijaya
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1498

Abstract

Toko Storage is a trade name used by PT. Distributor Trimitra Indonesia to sell various kinds of Network Attached Storage products. The number of NAS products that are sold with different prices and specifications, sometimes makes it confusing and even makes it difficult for potential consumers to choose the right NAS product. So it is not uncommon for them to ask about NAS recommendations to store admins. The process of providing recommendations is carried out through a question and answer session related to NAS needs. The process of giving recommendations sometimes takes a long time because they have to wait for answers from potential customers. Therefore, a research was conducted that aims to design a system that is able to provide recommendations for NAS product series to potential customers by applying data mining methods and multinomial naïve bayes algorithms. The results of the application of the methods and algorithms used have proven to be successfully implemented on the data used, this is evidenced by the results of tests and evaluations carried out using the help of the Weka application which produces an accuracy value of 95.5556%. The final result of this research is the design of a web-based NAS product series recommendation system that can be used by users to get NAS product series recommendations quickly and precisely, just by entering the NAS criteria they are looking for.
Perancangan Sistem Informasi Pendaftaran Peserta Ibadah Onsite Di GKI Serpong Dimasa Pandemi Berbasis Web Sandy Yoan; Yakub Yakub
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1508

Abstract

Since the coronavirus pandemic, worship activities at GKI Serpong have been limited, including the limited number of congregants who can come to worship at the church. Meanwhile, to limit the number of congregations present, GKI Serpong uses a registration system using Google Form. The Google Form system for registration used is not effective and efficient, because the features provided by the Google Form are too few, so the congregational data needed by the church is small. Then it is necessary to create a system that is much better in terms of benefits in its use. By using the waterfall model research methodology (Waterfall), it is the most widely used and old software engineering paradigm. The Waterfall method proposes a systematic and sequential approach to software development that begins at the stage and progress of the system throughout the analysis, design design, code, testing, and maintenance. By using the Waterfall method in designing the registration system, the system created is much easier and more targeted. With the onsite worship registration system, GKI Serpong can easily monitor and limit congregations who will attend church to worship, and congregations can come again to worship onsite at the church by registering themselves easily through the system created. The system created can also be used by the church for many events other than public worship such as children's worship, youth and other fellowships in the church.
PERANCANGAN APLIKASI PENGGAJIAN KARYAWAN BERBASIS WEB MENGGUNAKAN FRAMEWORK CODEIGNITER DI PT. VICALTA GRACIAS INDONESIA Yose Novando; Dicky Surya Dwi Putra; Ellysha Kusuma
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1509

Abstract

Teknologi kini berkembang sangat pesat di berbagai bidang. Hal ini tentunya ditandai dengan diterapkannya sistem komputerisasi di berbagai institusi seperti perusahaan, sekolah, universitas dan rumah sakit. Penerapan sistem komputer di berbagai industri memudahkan perusahaan dan konsumen informasi yang tertarik untuk mengambil informasi dengan cepat dan efektif. Pada penelitian ini penulis menemukan masalah di PT. Vicalta Gracias Indonesia yang dimana dalam proses penggajian masih menggunakan metode tradisional yaitu menghitung secara manual setiap gaji karyawan dengan excel maupun kalkulator. Maka dari itu saya ingin membuat dan merancang aplikasi penggajian karyawan berbasis web menggunakan framework codeigniter dengan metode MVC agar dapat membantu bagian HRD dalam proses penggajian karyawan dan juga mempermudah perhitungan gaji setiap karyawan, mempermudah setiap karyawan dalam mencetak slip gaji setiap bulannya dan mempermudah HRD dalam melihat laporan absensi dan juga laporan daftar gaji karyawan, dan juga dapat meminimalisir kesalahan perhitungan gaji setiap karyawannya dan juga meminimalisir terjadinya keterlambatan pembayaran gaji kepada karyawan setiap bulan.

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