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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,106 Documents
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Aplikasi Jasa Konsultasi Kedai Wakaf MUI di Kota Medan Menggunakan Metode FCFS Berbasis Android Jannah, Raudhatul; Samsudin
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3118

Abstract

Penelitian ini bertujuan untuk mengembangkan kemitraan Kedai Wakaf dalam bidang jasa konsultasi melalui perancangan sistem aplikasi berbahasa Java dengan metode First Come First Served (FCFS). Berdasarkan dari hasil wawancara diketahui jasa konsultasi yang dapat dikembangkan adalah jasa konsultasi di bidang hukum, pendidikan dan pelatihan, dan event  perjalanan. Berdasarkan penelitian ini ditemukan bahwa, pengelolaan jasa konsultasi dapat dikembangkan dengan cara membuat aplikasi yang menyediakan sistem yang dilengkapi dengan fitur konsultasi chat dan konsultasi Konsultasi Langsung.    Terdapat sistem daftar tunggu yang dalam melakukan penjadwalan dan eksekusi terhadap list daftar masuk yang diterima, aplikasi dikelola seorang admin.
Sistem Informasi Manajemen Laundry Menggunakan Metode Customer Relationship Management (CRM) Berbasis Web Juliani, Cindy; Zufria, Ilka
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3119

Abstract

Laundry arion merupakan usaha yang bergerak di pelayanan terima cuci bersih perlengkapan rumah tanggga berupa pakaian, bed cover dan perlengkapan lainnya. Laundry Arion melakukan pencatatan manual dalam manajemen laundry seperti pembelian perlengkapan laundry, pengolahan data konsumen, pencatatan pengeluaran serta pemasukan laundry. Laundry arion mengolah data masih menggunakan buku pencatatan. Pelayanan konsumen yang bagus dapat memperoleh keuntungan, sehingga konsumen akan selalu melakukan laundry pada Laundry Arion. Sehingga, diperlukan sistem penilaian konsumen terhadap pelayanan dengan pengisian angket secara online sehingga Laundry arion dapat mengetahui hal-hal apa saja yang akan ditingkatkan dalam pelayanan yang ada. Maka demikian dibutuhkan sistem yang baru dalam manajemen laundry dan penilaian berupa sistem ECRM yang dapat mempermudah dalam pembuatan pembukuan yang ada dan memperoleh hasil survey tiap pelanggan. Dengan sistem ECRM Diharapkan sistem yang dihasilkan dapat membantu Laundry arion mengetahui jumlah perlengkapan yang akan disediakan dan mengetahui perlengkapan yang telah digunakan dan menghasilkan laporan laundry yang lebih efektif.
Penerapan Text Mining Pada Sistem Penyeleksian Judul Skripsi Menggunakan Algoritma Latent Dirichlet Allocation(LDA) Kurniawan R, Rakhmat; Zufria, Ilka
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3120

Abstract

Dalam proses pengajuan judul proposal skripsi, banyak mahasiswa yang judulnya ditolak dikarenakan adanya kesamaan judul atau tema penelitian yang telah dilakukan sebelumnya. Proses ini dilakukan secara manual dimana judul skripsi direkapitulasi dengan menggunakan aplikasi Microsoft Excel, sehingga membuka peluang kekeliruan dalam pemeriksaan yang disebabkan oleh tim penyeleksi memeriksa judul secara manual baris per baris. Selanjutnya dirasa perlu melakukan penelitian untuk mengatasi masalah tersebut. Dengan harapan memudahkan pengelola program studi dalam menentukan judul skripsi yang potensial dan berkualitas pada mahasiswa. Selanjutnya mempercepat proses penentuan judul skripsi mahasiswa dan tentunya juga akan mempercepat proses penyelesaian studi mahasiswa strata 1. Maka dirancanglah sebuah sistem yang mampu merekomendasi kelayakan judul skripsi yang diajukan melalui teknologi text mining menggunakan algoritma LDA. Algoritma LDA mampu untuk mendeteksi topik yang ada pada suatu koleksi dokumen beserta besarnya kemunculan topik tersebut.
Sistem Kontrol Menghidupkan Lampu Otomatis Menggunakan Sensor Suara FC-04 Berbasis Arduino Uno Chairil, Slamet; Teuku Radillah; Satria, Budy
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3121

Abstract

The problem that often occurs is forgetting to turn off the lights when you want to leave because you are in a hurry, as a result the lights stay on and there is a waste of electricity. This research was conducted with the aim of designing an Automatic Light Turning Control System Using the FC-04 Sound Sensor Based on Arduino Uno. When the Sound Sensor FC-04 detects the input of two hands clapping, the relay will give current to the light object so that it turns on automatically. The results of the tests that have been carried out are that the Arduino Uno Microcontroller works well for processing data. Testing the FC-04 Sound Sensor with a distance of 50-200 cm from the input in the form of the sound of applause causes the light to turn on as an output that the sensor functions to detect vibration frequency waves. In addition, the relay device also works well as a regulator of the electric power supply for the lamp so that the lamp can turn on or on. So that this tool can help humans turn off the lights so they no longer have to move closer to the lights and press existing buttons to be able to turn on or turn off the lights, but can be controlled through voice commands of applause.
Penerapan Model ADDIE untuk Pengembangan Game Simulasi Kebencanaan Bata, Julius
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3124

Abstract

Bencana merupakan kejadian yang dapat mengancam hidup manusia dan menyebabkan kerugian. Bencana dapat terjadi kapan saja dan dimana saja, termasuk di kampus. Kampus merupakan tempat mahasiswa melakukan aktifitas akademik dan non-akademik. Meskipun pihak kampus sudah menyediakan informasi terkait persiapan jika terjadi bencana, namun mahasiswa terkadang tidak mengetahui informasi tersebut. Tujuan makalah ini adalah untuk mengembangkan game simulasi kebencanaan. Metode yang digunakan dalam mengembangkan game simulasi adalah model ADDIE (analysis, design, develop, implement, evaluate). Game dikembangkan dengan menggunakan Unity game engine. Evaluasi dilakukan dengan uji black-box. Hasil uji menunjukan seluruh fungsionalitas utama game sudah berfungsi dengan baik.
Application of Generalization of Eisenstein Criterion to Verify Irreducible Polynomial over Z[x] using MATLAB GUI Christianto, Leonardus; Irawati
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3127

Abstract

Technology plays an important role in education development to prepare students to answer global challenges. Programming is one of the skills students need to have to adapt to advanced technology. Before preparing students for that skill, teachers need to be experts in programming into the subject they teach. Polynomial is a compulsory course for a master’s degree in teaching mathematics. It prepares the master’s student about the concept of an irreducible over any field. Each polynomial in the field C with degree one is an irreducible polynomial, while an irreducible polynomial in R[x] is of degrees one and two. However, for every polynomial in the field Q of degree n in Z, there is any irreducible polynomial, so it is hard to decide whether the polynomial with any degree is irreducible or not. This paper aims to develop the project application in teaching and learning Polynomial using MATLAB GUI will be presented to check the irreducibility of a polynomial over Q[x] by using theorem on the Generalization of the Eisenstein Criterion. This project application can be used by lecturers and students of universities, moreover, the algorithm and steps of making an application can be adjusted to make the other application in mathematics.
Pengembangan Aplikasi Chat Multi Bahasa Berbasis NLP Translation API Sugiharto, M Iqbal Novananda; Cahyono, Nuri
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3128

Abstract

Interacting with others is an essential part of human life.. Sometimes users experience problems using chat applications, namely language differences when communicating with foreigners. Based on these problems, the author aims to build a chat application with a mobile-based automatic translator. In this application, the user can choose the language that will be used as needed. This application development uses the React Native framework for mobile applications and uses the NLP translation API for translators. This chat application automatically translates messages into the language used by the user. After doing some testing on the application, it can be concluded that it is according to the design and can make it easier for users to communicate with different languages
Jaringan Syaraf Tiruan Mendeteksi Penyakit Pneumonia Infeksi Saluran Pernafasan Akut Dengan Algoritma Backpropagation Yulia; Rendy; Arnomo, Sasa Ani
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3129

Abstract

Acute Respiratory Infections (ARI) are a health problem that often affects children and adults. For adults, acute respiratory infections are mild or common, but in children under five, this disease is a threat that can cause death. One of the causes of death due to acute respiratory infections is incorrect diagnosis. This study aims to determine the level of accuracy and optimal neural network architecture in detecting ARI using the backpropagation method. This research was implemented using MATLAB software with several forms of network architecture. Symptoms of ARI that were used as input for detection of the disease consisted of 13 variables targeting non-pneumonia and pneumonia ARDs. Based on the research results, the architecture with the best configuration consists of 13 input layer neurons, 20 hidden layer neurons, and two output layer neurons with a binary sigmoid activation function (logs), a learning rate value of 0.5, an error tolerance value of 0.001, a maximum of the epoch of 216 and MSE 0.000997. Artificial neural networks with the backpropagation method used for weight adjustment can respond to training data and testing data well, marked by the resulting network accuracy of 100% in accordance with the desired target.
Transfer learning pada Network VGG16 dan ResNet50 Fauzan Muhammad; Aniati Murni Arimurthy; Dina Chahyati
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3130

Abstract

Transfer Learning adalah prinsip yang digunakan pada neural network dengan tujuan membantu pelatihan pada data yang sedikit, mempercepat waktu dan meningkatkan performa pelatihan. Salah satu metode transfer learning adlaah fine tuning. Pada metode tersebut, melakukan pembekuan pada sejumlah layer pada model network yang dilatih sebelumnya dan melakukan pelatihan pada lapisan yang lainnya dan pada lapisan feature extractor. Pada penelitian ini akan dilihat salah satu metode transfer learning pada model network VGG6 dan ResNet50, yaitu fine tuning, dengan melakukan pembekuan dengan jumlah yang lapisan berbeda pada masng-masing model. Kemudian pada kedua model tersebut dilihat kinerja dan akurasinya pada saat pelatihan dan pengujian
Online Terrain Classification Using Neural Network for Disaster Robot Application Sanusi, Muhammad Anwar; Dewantara, Bima Sena Bayu; Setiawardhana; Sigit, Riyanto
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3132

Abstract

A disaster robot is used for crucial rescue, observation, and exploration missions. In the case of implementing disaster robots in bad environmental situations, the robot must be equipped with appropriate sensors and good algorithms to carry out the expected movements. In this study, a neural network-based terrain classification that is applied to Raspberry using the IMU sensor as input is developed. Relatively low computational requirements can reduce the power needed to run terrain classification. By comparing data from the Accelerometer, Gyroscope, and combined Accelero-Gyro using the same neural network architecture, the tests were carried out in a not moving position, indoors, on asphalt, loose gravel, grass, and hard ground. In its implementation, the mobile robot runs over the field at a speed of about 0,5 m/s and produces predictive data every 1,12s. The prediction results for online terrain classification are above 93% for each input tested.

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