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Contact Name
Nizirwan Anwar
Contact Email
nizirwan.anwar@esaunggul.ac.id
Phone
+6281314410170
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jurnal.alu@ubm.ac.id
Editorial Address
Jl. Ancol Barat IV, RT.12/RW.2, Ancol, Kec. Pademangan, Kota Jkt Utara, Daerah Khusus Ibukota Jakarta 14430
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Kota tangerang,
Banten
INDONESIA
Jurnal Algoritma, Logika dan Komputasi
ISSN : 2620620X     EISSN : 26219840     DOI : http://dx.doi.org/10.30813/j-alu.v1i1.1107
Jurnal Algoritma, Logika dan Komputasi (Jurnal ALU) adalah jurnal Program Studi Teknik Informatika, yang berisikan kumpulan hasil penelitian dosen, penelitian dosen dan mahasiswa, penelitian mahasiswa yang disusun dalam bentuk artikel penelitian. Jurnal Algoritma, Logika dan Komputasi(Jurnal ALU) adalah jurnal Program Studi Teknik Informatika, yang berisikan kumpulan hasil penelitian dosen, penelitian dosen dan mahasiswa, penelitian mahasiswa yang disusun dalam bentuk artikel penelitian.
Articles 79 Documents
PENERAPAN ALGORITMA C4.5 UNTUK PENENTUAN KELAYAKAN PEMBERIAN KREDIT (Studi Kasus : Koperia - Koperasi Warga Komplek Gandaria) Teguh Budi Santoso; Dela Sekardiana
Jurnal Algoritma, Logika dan Komputasi Vol 2, No 1 (2019): Jurnal ALU Volume 2 nomor 1 Maret 2019
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v2i1.1573

Abstract

Current credit giving in KOPERIA (Koperasi Warga Komplek Gandaria) is still based on an objective process. Difficulties in determining the feasibility of giving credit are often experienced by cooperative managers, so that problems arise in the cooperative is a default payment of credit installments of customers in KOPERIA. This study aims to form a decision tree classification model to determine the customer's credit worthiness. In this study the application of C4.5 Algorithm, based on the Sets and Attributes used in this study, namely, the amount of income divided into 2 categories> 5 million and 3-5 million, the amount of balance divided into three, namely> 3 million, 1-3 million and <1 Million, The Loan Amount is divided into three, namely 1-4 Months, 5-8 months, and 9-12 Months and Requirements with attributes of Business Capital, buying goods and others. In this study determine the appropriate root nodes, the classification results using C4.5 Algorithm shows that the accuracy of 97.5% is obtained, based on the results obtained shows that the c4.5 algorithm is suitable to be used to determine the feasibility of lending customers to KOPERIA.Keywords: Data Mining, C4.5 Algorithm, loan feasibility
RANCANG BANGUN AUGMENTED DAN VIRTUAL REALITY MENGGUNAKAN ALGORITMA FAST SEBAGAI MEDIA INFORMASI 3D DI UNIVERSITAS SATYA NEGARA INDONESIA Faizal Zuli
Jurnal Algoritma, Logika dan Komputasi Vol 1, No 2 (2018): Jurnal ALU Volume 1 nomor 2 September 2018
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v1i2.1373

Abstract

The role of the media is quite important in providing information to the public about the University of Satya negara Indonesia. Delivery of information is usually done orally and in the form of a two-dimensional such as posters, brochures, as well as through the website. Media such information certainly has its advantages and disadvantages respectively. For it makes the author want to design a media campaign to complement the usual media used by the campus. The making of a media promotion of the technology to implement multimedia computer, namely a merger between Augmented Reality (AR) and Virtual Reality (VR). Augmented Reality and Virtual Reality was selected because of its advantages in describing a building object in 3 dimensions (3D) in real time, to facilitate the user in knowing the information about the campus of the University of Satya negara Indonesia, which can be used on a Smartphone. In the design of inimenerapkan algorithm of FAST Corner Detection as well as using methods of Multimedia Development Life Cycle (MDLC).Keyword : Augmented Reality, Satya Negara Indonesia University, Virtual Reality, 3D
SISTEM DETEKSI EMOSI MENGGUNAKAN SINYAL EEG “EMOCLASS” Manik, Ngarap Imanuel; Ivan, Antonius
Jurnal Algoritma, Logika dan Komputasi Vol 3, No 1 (2020): Jurnal ALU, Maret 2020
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v3i1.2154

Abstract

An emotional detection system has been developed using EEG signals with the help of a computer program. The results of this development are an important step in progress in learning the classification of emotional detection because it can be obtained more quickly. This study uses a support vector machine approach with a statistical analysis model that can be used to classify emotions into the Russell Emotion Model. Emotions included are Amused, Fear, Calm, Sad, and Neutral. With some assumptions, this system can provide benefits to the multimedia sector by producing applications that automatically detect human emotional experiences.
PERANCANGAN ROBOT LINE FOLLOWER PEMADAM API Danny Yudha Krisna; Sigit Satrio
Jurnal Algoritma, Logika dan Komputasi Vol 2, No 2 (2019): Jurnal ALU, September 2019
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v2i2.1847

Abstract

Line Follower Robot merupakan robot yang berjalan secara otomatis mengikuti garis yang memiliki warna yang berbeda untuk latar belakang. Dalam masalah desain dan implementasi yang harus dipecahkan adalah arsitektur hardware dari sistem visi robot yang meliputi perangkat elektronik dan mekanik, dan organisasi perangkat lunak basis pengetahuan untuk waktu nyata dan pengendali, Line follower robot memiliki tiga bagian umum, yaitu kaki dalam hal ini roda dan motor, sensor infrah merah dan photodioda mata dan otak pada robot line follower menggunakan mikrokontroler AT89S51.Basis pengetahuan berisi tindakan yang diambil oleh robot  berdasarkan informasi yang diperoleh dari sensor,  robot follower robot ini diharapkan dapat berjalan lancar ketika  membaca garis   tebal pada   garis   samping   di jalur aslinya   maka robot akan berhenti selama waktu 7 detik untuk memadamkan api setelah 7 detik robot akan berjalan kembali dengan hasil 70%
IMPLEMENTASI DETEKSI TEPI UNTUK MENDETEKSI KERETAKAN TULANG ORANG LANJUT USIA (MANULA) PADA CITRA RONTGEN DENGAN OPERATOR SOBEL DAN PREWITT I Gusti Ngurah Suryantara
Jurnal Algoritma, Logika dan Komputasi Vol 1, No 2 (2018): Jurnal ALU Volume 1 nomor 2 September 2018
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v1i2.1368

Abstract

Citra digital sekarang ini sangat bermanfaat dalam segala bidang, citra digital dibutuhkan oleh pengguna untuk analisis dan mengambil keputusan. Berbagai analisis citra digunakan untuk menghasilkan citra keluaran sesuai dengan kebutuhan.  Penggunaan filter pada citra masukan merupakan salah satu cara yang digunakan untuk menghasilkan citra keluaran sesuai kebutuhan. Pada penelitian ini membuat aplikasi pengolahan citra menggunakan filter Sobel dan Prewitt. Filter Sobel dan Prewitt untuk menghasilkan tepi pada citra. Deteksi tepi pada citra bisa diimplementasikan pada bidang medis, seperti analisis keretakan pada tulang. Keretakan pada tulang menciptakan tepi, bagian yang retak diperkuat dengan filter Sobel dan Prewitt. Yang dilakukan dalam penelitian ini adalah: studi pustaka, penerapan filter Sobel dan Prewitt. Selanjutnya melakukan analisis dan desain aplikasi pengolahan citra dengan filter sobel dan prewitt.  Pada penelitian ini menggunakan filter Sobel dan Prewitt untuk memperkuat tepi pada citra masukan. Dengan menggunakan dua fiter ini sudah bisa menampilkan tepi pada citra untuk analisis oleh pengguna. Kata Kunci: Citra, Citra Digital, Filter Sobel, Filter Prewitt, Tepi
IMPLEMENTASI RUMUS SOBEL PADA WEB DENGAN TOPIK REGRESI LINIER MENGGUNAKAN VARIABEL INTERVENING Herlina Herlina; Thing Thing Diputra
Jurnal Algoritma, Logika dan Komputasi Vol 1, No 1 (2018): Jurnal ALU Volume 1 nomor 1 Maret 2018
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v1i1.1106

Abstract

Implementation of the sobel formula on the web is used to predict the indirect effect between independent and dependent variables. This web application, can be used to perform simple regression analysis as well as multiple linear regression. A simple linear regression consists of one independent variable (x) and one dependent variable (y) that serves to find out how closely the relationship of two variables and know the contribution of the independent variable (x) in explaining the dependent variable and can make predictions. Double linear regression consists of two or more independent vaiabel (x) and one dependent variable (y). The data in this study can be either cross section or team series data. The purpose of implementation of sobel formula is to facilitate the researchers by utilizing the internet network that is connected on the web. The result of the implementation of the sobel formula is on the site https://thingdiputra.github.io/Keywords: Linear regression, intervening variable, sobel formula
LIGHT RAIL TRANSIT PUBLIC TRANSPORTATION QUEUE SYSTEM BASED ON ANDROID Fransisco, Roy; Arifitama, Budi
Jurnal Algoritma, Logika dan Komputasi Vol 3, No 1 (2020): Jurnal ALU, Maret 2020
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v3i1.2047

Abstract

The more advanced and the development of the era tends to create more complex problems that needs to be solved. Queueing in Indonesia is a problem that is difficult to control. LRT (Light Rail Transit) is the most recent public transportation for the people living around Northern Jakarta. Most of the people want to try this new transportation, This creates a problem where usually people tend to not queueing in line when buying tickets. The solution fot this problem is by ordering online tickets or online queues over queueing traditionally. In this study, the Designing and programming methods used C # code on visual studio which is performed as a form of validation such as validation for Login and Registering; PHP code is used to connect the database for data registrants, users, and admin; and UML (Unified Modeling Language) for designing the system and database. With this online queue, it can help overcome the problem of crowded long and congested lines at the LRT station so that it can increase the culture of the queue for mutual order to be realized.
IMPLEMENTATION OF PPTP AND BCP WITH INTER- VLAN ON THE TOPOLOGY THAT USES 2 ISP AS INTER-DIVISION CONNECTORS (Case Study: PT Kenari Djaja Prima) Jimmy Gunawan; Halim Agung
Jurnal Algoritma, Logika dan Komputasi Vol 2, No 1 (2019): Jurnal ALU Volume 2 nomor 1 Maret 2019
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v2i1.1574

Abstract

PT Kenari Djaja Prima will create a tunnel between branch offices located far from the central office so that these two offices can retrieve data on the server. As well as forming a local network between branch offices and centers. From the problem, the authors conducted a study and proposed using VLANs to divide divisions, and the tunnel method in the form of PPTP as encryption tunnel to connect with branch offices and BCP methods to forward ethernet packets so that the IP segmentation of headquarters with branches could be connected. From the results of this study, the average maximum Mbps obtained from downloads is 25.87 Mb, the average is at least 1.19 Mb, the average speed is 15.24 Mb, the average time is one minute and thirty seven seconds, and the average delay is 200.28 MS. The conclusion obtained in this study is that division of divisions with VLANs can be overcome, and between divisions have their own VLAN IDs, and can communicate with each other using Inter-VLAN. And use tunnels to connect branch offices with headquarters using PPTP. PPTP as tunnel encryption, EoIP as an ethernet connector and as a VLAN distribution between headquarters and branches. So that the data will be safe until the destination.Keywords: PPTP, QoS, VLAN, Inter-VLAN
PROTOTIPE PENGENALAN WAJAH DENGAN ALGORITMA FISHERFACE DAN VIOLA-JONES UNTUK SISTEM PENGUNCIAN PINTU MOBIL BERBASIS ANDROID Fadli Fairuz Ramadhan; Mardi Hardjianto
Jurnal Algoritma, Logika dan Komputasi Vol 1, No 2 (2018): Jurnal ALU Volume 1 nomor 2 September 2018
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v1i2.1372

Abstract

Peningkatan jumlah penduduk yang disertai dengan perekonomi Indonesia yang semakin membaik berpengaruh pada banyaknya kepemilikan kendaraan bermotor khususnya mobil. Peningkatan jumlah kepemilikan kendaraan bermotor diiringi dengan peningkatan persentase kejahatan seperti tindak pencurian kendaraan bermotor. Untuk meningkatkan keamanan mobil pada penelitian ini akan dibuat sebuah rancang model sistem penguncian pintu pada mobil dengan memanfaatkan pengenalan wajah dengan algoritma Fisherface dan Viola-Jones berbasis Android. Algoritma Fisherface merupakan kombinasi dari metode Fisher’s Linear Discriminant (FLD) dengan Principal Component Analysis (PCA). Prinsip dasar algoritma Fisherface adalah mereduksi dimensi menggunakan proyeksi linier. Algoritma Viola-Jones merupakan algoritma pendeteksian obyek yang terdiri dari tahapan, Haar-Like Features, Integral Image, Algoritma pembelajaran berbasis Adaptive Boosting (AdaBoost) dan kombinasi Cascade Of Classifiers. Pemilihan algoritma Fisherface dan Viola-Jones pada penelitian ini dikarenakan dari bebeapa penelitian sebelumnya perpaduan algoritma Fisherface dan Viola-Jones memiliki keunggulan seperti tingkat klasifikasi yang baik, performa yang baik, dan waktu pemrosesan yang lebih cepat. Dengan rancang model pengenalan wajah dengan algoritma Viola-Jones dan Fisherface untuk membuka dan mengunci pintu mobil berbasis Android, diharapkan dapat meningkatkan keamanan pada mobil serta kemudahan dalam pengaplikasiannya. Dari hasil percobaan didapatkan tingkat akurasi sebesar 90,00%. Kata Kunci: Penguncian Mobil, Pengenalan Wajah, Fisherface, Viola-Jones, Andorid, Arduino.
IMPLEMENTASI ALGORITMA K-MEANS UNTUK PEMILIHAN KERAMIK DAN PELANGGAN POTENSIAL PADA CV. JAYA TUNGGAL KERAMIK Yuliana Yuliana; Mario Richie; Halim Agung
Jurnal Algoritma, Logika dan Komputasi Vol 3, No 2 (2020): Jurnal ALU, September 2020
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v3i2.2157

Abstract

CV. Jaya Tunggal Keramik is a company that sale of ceramics. CV. Jaya Tunggal Keramik experienced some problems regarding ceramics and customers such as difficulties in sale ceramics to customers so that some ceramic products accumulate in the warehouse, such as being damaged and ceramic display becomes less good because it is stored too long and difficulty retaining customers because some customers do not want to order ceramic products. Lack of precise decision taken by the management CV. Jaya Tunggal Keramik in determining the strategy to supply ceramic and how to make it CV. Jaya Tunggal Keramik is difficult to estimate the stock of ceramic products to be provided and it is difficult to determine which potential customers can be maintained as a regular customer. This research uses K-Means algorithm. K-Means algorithm is a partitioning clustering method that separates data into different groups with iterative partitioning. By using this application, users can find out the estimated stock and price of ceramics as well as information about potential customers. Testing in this research using data of November 2017 that compared with data of December 2017. Based on ceramic data test results, there are some ceramics that are not in accordance with the predicted results so it can be concluded that the K-Means algorithm on the test inventory data inventory in this study is not fully can provide accurate estimates, this is because the use of the K-Means algorithm is strongly influenced by the cluster center results and the attributes used.