cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Tri A. Sundara
Contact Email
tri.sundara@stmikindonesia.ac.id
Phone
+628116606456
Journal Mail Official
ijcs@stmikindonesia.ac.id
Editorial Address
Jalan Khatib Sulaiman Dalam 1, Padang, Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
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
 6   7   8   9   10 
Reduksi Dimensi pada Klasifikasi Data Microarray Menggunakan Minimum Redundancy Maximum Relevance dan Random Forest : The Dimensional Reduction in Microarray Data Classification Using Minimum Redundancy Maximum Relevance and Random Forest Harahap, Lailan; Nababan, Erna Budhiarti; Efendi, Syahril
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.v12i1.3133

Abstract

Di Indonesia prevalensi kanker pada data Riskesdes tahun 2018 terdapat 1,79 per 1.000 penduduk mengidap penyakit kanker. Akibat tingginya prevalensi kanker maka diperlukan pendeteksian kanker sejak dini. Salah satu cara mendeteksi kanker yaitu dengan teknologi microarray dimana teknologi ini dapat memantau ribuan ekpresi gen secara bersamaan dalam satu percobaan. Namun, data microarray memiliki dimensi yang besar sehingga diperlukan proses reduksi dimensi data microarray pada penyakit prostate cancer da gastric cancer agar dapat menghilangkan atribut yang redundansi dan meningkatkan akurasi pada klasifikasi. Reduksi dilakukan menggunakan MRMR (FCQ dan FCD) dengan k 10,20,30,40,50,60,70,80,90 dan 100. Klasifikasi dilakukan menggunakan RF dengan membentuk 100 tree. Hasil akurasi terbaik pada klasifikasi data prostate cancer yaitu dengan FCQ 100% pada k=10, tanpa reduksi 95% dan akurasi terendah dengan FCD 52% pada k=90. Sedangkan hasil akurasi terbaik klasifikasi data gastric cancer yaitu dengan FCQ dan FCD 100% pada semua k dan akurasi terendah yaitu tanpa reduksi 83%.
Sistem Lokalisasi Mobile-Robot Pertanian Otonom Berbasis Ultra-Wideband (UWB) dan Sensor Inersia Bagus Muliawan, Nobby; Sulistijono, Indra Adji
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.v12i1.3135

Abstract

Sitem kendali pergerakan kendaraan pertanian otonom membutuhkan sistem lokalisasi yang akurat. Pada penelitian ini, penentuan posisi robot otonom berbasis DWM1000 dan sensor inersia diusulkan. Algoritma Trilaterasi digunakan untuk mendapatkan posisi berdasarkan 3 titik anchor terhadap robot. Sistem UWB (Ultra-Wideband) menghitung jarak dengan menggunakan TDOA (Time Difference of Arrival) dengan perhitungan SDS-TWR (Symetrical Double Sided-Two Way Ranging) untuk menentukan jarak. Data posisi yang didapatkan kemudian disaring dengan Kalman-filter pada aksis X dan Y. Berdasarkan pengujian experimen sensor UWB pada mobile robot pertanian otonom, didapatkan hasil akurasi yang cukup baik dengan nilai eror simpangan rata-rata sebesar 0,33m
Manajemen Pembelajaran Online Menggunakan Adobe Flash pada Mata Kuliah Pattiserie Terhadap Capaian Kompetensi Angraini, Ezi; Giatman, M; Maksum, Hasan
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.v12i1.3136

Abstract

Learning media is an instrument that greatly determines the success of the teaching and learning process. Because its existence can directly provide its own dynamics to students. After the spread of the Covid-19 outbreak had an effect on the world of education, changes to the learning system were directed to an online home study policy. This study aims to determine the effectiveness of Adobe Flash CS6 media in online learning towards competency achievement in the Pattiserie course. This research method uses a quantitative method by comparing student learning outcomes online during the pandemic with before the pandemic in the Pattiserie course at the IKK FPP UNP department. Based on data obtained from the 2017 and 2019 batch of Pattiserie semester scores, the average grade for the experimental class was 73.01 and the average grade for the control class was 88.53. From the results above, it can be concluded that a valid and practical media has not been able to replace the effectiveness of Pattiserie learning, in other words, this Pattiserie course is more competent if it is carried out practically in a laboratory because the hierarchy of practical courses must be carried out in a laboratory/workshop.
Analisis Kontras Densitas Lapisan Batuan Di Bawah Permukaan Tanah Dengan Metode Gravitasi Maulidina, Miftakhul
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.v12i1.3139

Abstract

Metode gravitasi merupakan salah satu metode dalam survei geofisika yang bermanfaat untuk menentukan struktur batuan di bawah permukaan berdasarkan perbedaan nilai massa jenis batuan penyusunnya. Perbedaan massa jenis atau densitas tersebut ditandai dengan adanya anomali gravitasi di permukaan bumi. Obyek penelitian kontras densitas dengan metode gravitasi kali ini adalah area Gunung Kelud yang terletak di Kabupaten Kediri Provinsi Jawa Timur. Hasil perekaman data gravitasi di lapangan diolah menggunakan beberapa software, yaitu Surfer 9, MagPick, dan GRAV2DC. Pemodelan data gravitasi dengan menggunakan GRAV2DC untuk anomali lokal area Gunung Kelud di Kediri, Jawa Timur menghasilkan layer sebanyak 4 bodies dengan kontras densitas dan kedalaman masing-masing adalah -0,005 gr/cm3 – 13,5 km, 0,015 gr/cm3 – 3,19 km, 0,005 gr/cm3 – 7,178 km, dan 0,005 gr/cm3 – 14 km, dengan misfit sebesar 0,37. Dengan mengambil densitas awal 2,6 gr/cm3, lapisan tersebut terdiri dari lapisan syenite dan granitc.
Pengembangan Sistem Manajemen Bank Sampah berbasis Web untuk mewujudkan keberhasilan Ekonomi Sirkular di Masyarakat Utami, Kery; Sandya Prasvita, Desta; Widiastiwi, Yuni
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.v12i1.3140

Abstract

This research will be conducted at the Solusi Hijau Main Garbage Bank in the Gunung Sindur District, Bogor Regency. The Solusi Hijau Waste Bank still uses a manual recording system that is easily lost, inefficient, and not dynamic. Therefore it is necessary to make a Web-based Waste Savings Application that can become the main activity facility for the Green Solutions Main Garbage Bank. This application will be used as an interactive interface for Customers and Unit Waste Banks as well as the general public as Prospective Customers or Prospective Management Unit Waste Banks so that they can maximize the performance of the Waste Bank in its development. The Web-based Waste Savings application is a continuation of basic research that has been done before, namely to create digital applications that are utilized by waste banks and the community so that waste banks can become a forum for public education in terms of waste handling and environmental management as well as generating community economic resources. Systems Development Life Cycle (SDLC) is implemented as an Application development method. SDLC is a system development cycle in making waste bank applications by applying the waterfall method. The results of this research in the future are directed to be developed into a standard for Waste Saving System Applications in the community.
Modified K-Means Clustering with Semi Grouping Perspective : A Study Al Afghani, Said; Chandra, Gerry
The Indonesian Journal of Computer Science Vol. 12 No. 2 (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.v12i2.3141

Abstract

In this note, we will provide some results of a literature study related to one of the clustering methods, namely K-Means, but with some modifications, devoted to the case of computation time. Modifications were made at the time of determining the cluster center by previously applying principal component analysis (PCA), other researchers [4] proposed this method first, which differs in this note, namely in the preprocessing of the data before principal component analysis is carried out. Comparison of the accuracy of the cluster results is also given in this note.
Penerapan Metode Winter Exponential Smoothing Dalam Memprediksi Stok Produk Benang Cahyani, Winda; Suendri
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.v12i1.3143

Abstract

Kegiatan untuk memperkirakan apa yang akan terjadi pada masa yang akan datang disebut dengan peramalan. Metode Winter Exponential Smoothing adalah metode peramalan yang menggunakan tiga persamaan pola, yaitu stationer, trend, dan musiman. Teknik peramalan dapat diterapkan dalam memprediksi stok produk benang pada PT. Jangkar Mas di periode selanjutnya. Untuk itu peneliti bermaksud membangun sebuah sistem peramalan agar mempermudah perusahaan dalam memprediksi stok produk benang. Melalui sistem peramalan ini diperoleh data prediksi stok produk benang menggunakan metode winter exponential smoothing dengan menggunakan data jenis benang katun pada bulan Januari 2021 hingga Desember 2022 menghasilkan Mean Absolute Percentage Error (MAPE) sebesar 10% dengan data hasil peramalan benang katun pada Januari 2023 sebanyak 3.390,86 roll masuk pada kategori 10-20% yang artinya hasil peramalan baik, dimana nilai α = 0.4, β = 0.1 dan μ = 0.3 hal ini menunjukkan bahwa peramalan menggunakan metode winter exponential smoothing dapat memberikan hasil sesuai dengan yang diharapkan.
Prediction of Student Scholarship Recipients Using the K-Means Algorithm and C4.5 Wandri, Rizky; Arta, Yudhi; Hanafiah, Anggi; Oktaviaani, Rizka
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.v12i1.3145

Abstract

The government has a program called "KIP Lectures" to assist students in financing education. Where PTS makes the selection manually, with the Data Mining technique, a process will be carried out to speed up the manual process. This research will apply the clustering method with the K-Means algorithm and the classification method with the C4.5 algorithm, as well as a test using the RapidMiner application, which utilizes applicant data in 2022 with a total of 1298 participants. The test results found that 327 participants were in the highest cluster, "cluster_0", then the results of the c4.5 algorithm test obtained a decision tree if the participant has a KIP Card and the value obtained from the "Total Income" Criterion is more than 70 points, then the participant concerned is entitled to scholarship where 317 participants meet the criteria, and the university only has to choose participants from the results obtained in accordance with a predetermined quota.
Voice Assistant Integrated with Chat GPT Shafeeg, Abdulla; Shazhaev, Ilman; Mihaylov, Dimitry; Tularov, Arbi; Shazhaev, Islam
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.v12i1.3146

Abstract

AI has become deeply ingrained in the everyday life. The matter in question does not only touch upon the mobile phones that almost everyone carries within easy reach. Today, voice assistants and smart speakers are mainly used to turn on music, turn off the lights or forecast the weather. AI chatbots are getting smarter. The use of new technologies and the general development of neural networks makes it possible to chat or answer questions, write a script, a scientific work, or program code. One of the key differences from previous GPTs is that the new version is trained to continue the text and answer questions. The answers that the bot gives surprise users around the world. Yes, there are still questions about these answers and their validity, and everyone is sure that technology needs to be improved. For a technology to become revolutionary, it must find a better, new, breakthrough application. Although no, such an application has already been invented. Farcana decided to combine the functionality of the GPT chatbot and a voice assistant. By offering players a new approach to familiarizing themselves with game mechanics and general account management, Farcana promotes its advantages over others and rapidly contributes to AI's overall development in the digital society.
Social Media Advertising: How Do Consumers Respond to Ads on Instagram? Rabbani, Maheswara; Burhan, Angelina Gracia Eddyputri
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.v10i2.3149

Abstract

Utilization of social media marketing greatly influences a brand in terms of awareness, the relationship between the organization and consumers, and purchase intention. Therefore this research was conducted to study the interactions that social media users give to image or video advertisements displayed on Instagram. The research model used in this study is descriptive quantitative, by distributing questionnaires to respondents online via Google form. The study uses descriptive statistical analysis to measure the average, frequency distribution, and calculate the value of the distribution in the resulting data. The results of this study indicate that there is an influence on consumer response to advertisements on social media Instagram. This study shows that Instagram is the right choice for one of its marketing strategies because consumers give a good response.

Page 8 of 111 | Total Record : 1106

 6   7   8   9   10 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 4 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science More Issue