cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Deny Zainal Arifin
Contact Email
matics@uin-malang.ac.id
Phone
+6285646744340
Journal Mail Official
matics@uin-malang.ac.id
Editorial Address
Jurusan Teknik Informatika Fakultas Sains dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
Location
Kota malang,
Jawa timur
INDONESIA
MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)
Published by Universitas Islam Negeri Maulana Malik Ibrahim Malang
ISSN : 1978161X     EISSN : 24772550     DOI : https://doi.org/10.18860/mat
Core Subject : Science,
Computer Science & IT
MATICS is a scientific publication for widespread research and criticism topics in Computer Science and Information Technology. The journal is published twice a year, in March and September by Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia. The journal publishes two regular issues per year in the following areas : Algorithms and Complexity; Architecture and Organization; Computational Science; Discrete Structures; Graphics and Visualization; Human-Computer Interaction; Information Assurance and Security; Information Management; Intelligent Systems; Networking and Communication; Operating Systems; Platform-Based Development; Parallel and Distributed Computing; Programming Languages; Software Development Fundamentals; Software Engineering; Systems Fundamentals; Social Issues and Professional Practice.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 237 Documents
 16   17   18   19   20 
Sistem Automatic Text Summarization Menggunakan Algoritma Textrank Zamzam, Muhammad Adib; Crysdian, Cahyo; Hayati Holle, Khadijah Fahmi
MATICS Vol 12, No 2 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v12i2.8372

Abstract

Text summarization (perangkuman teks) adalah pendekatan yang bisa digunakan untuk meringkas atau memadatkan teks artikel yang panjang menjadi lebih pendek dan ringkas sehingga hasil rangkuman teks yang relatif lebih pendek bisa mewakilkan teks yang panjang. Automatic Text Summarization adalah perangkuman teks yang dilakukan secara otomatis oleh komputer. Terdapat dua macam algoritma Automatic Text Summarization yaitu Extraction-based summarization dan Abstractive summarization. Algoritma TextRank merupakan algoritma extraction-based atau extractive, dimana ekstraksi di sini berarti memilih unit teks (kalimat, segmen-segmen kalimat, paragraf atau passages), lalu dianggap berisi informasi penting dari dokumen dan menyusun unit-unit (kalimat-kalimat) tersebut dengan cara yang benar. Hasil penelitian dengan input 50 artikel dan hasil rangkuman sebanyak 12,5% dari teks asli menunjukkan bahwa sistem memiliki nilai recall ROUGE 41,659 %. Nilai tertinggi recall ROUGE tertinggi tercatat pada artikel 48 dengan nilai 0,764. Nilai terendah recall ROUGE tercatat pada artikel  37 dengan nilai 0,167.
Implementasi Simulated Annealing untuk Penentuan Rute pada Jaringan Yuliastuti, Gusti Eka; Prabiantissa, Citra Nurina; Rizki, Agung Mustika
MATICS Vol 13, No 2 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i2.12969

Abstract

Abstract—Recently computer networks are increasingly complex. It needs to be a supporting device for network management such as a router. Router is a device that plays an important role in the routing process. In a router stored information in the form of routing paths, where the information includes data and which routers will be passed. In certain cases, a router can have more than one gateway. This is because the router needs to send data packets to several networks that have different segments. Such cases can be handled by using the appropriate routing path selection rules. The routing problem can be regarded as a traveling salesman problem (TSP), where a mechanism is needed to determine the shortest route to be traversed. The author implements the Simulated Annealing Algorithm because it can produce an optimal solution with light computing, so that the routing process can be more effective and efficient. Index Terms—Computer Network, Routing, Simulated Annealing, Travelling Salesman Problem Abstrak–-Jaringan komputer saat ini semakin kompleks. Perlu adanya suatu perangkat pendukung untuk manajemen jaringan seperti router. Router merupakan perangkat yang berperan penting dalam proses routing. Pada sebuah router tersimpan informasi berupa jalur routing, dimana informasi tersebut mencakup data dan router mana saja yang akan dilewati. Pada kasus tertentu, router dapat memiliki lebih dari satu gateway. Hal ini disebabkan karena router perlu mengirimkan paket data ke beberapa jaringan yang memiliki segmen berbeda. Kasus tersebut dapat ditangani dengan menggunakan aturan pemilihan jalur routing yang tepat. Permasalahan routing dapat dikatakan sebagai suatu permasalahan travelling salesman problem (TSP), dimana diperlukan suatu mekanisme dalam menentukan rute terpendek untuk dilalui. Penulis mengimplementasikan Algoritma Simulated Annealing karena dapat menghasilkan solusi yang optimal dengan komputasi ringan, sehingga proses routing dapat lebih efektif dan efisien. Kata Kunci—Jaringan Komputer, Penentuan Rute, Travelling Salesman Problem, Algoritma Simulated Annealing 
Rancang Bangun Aplikasi E-Learning di LBB Primagama Malang dengan Implementasi Konsep Gamifikasi Khairy, Muhammad Shulhan; Wibowo, Dimas Wahyu; Syahrizal, Muhammad Dio
MATICS Vol 13, No 2 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i2.12131

Abstract

Recently, e-learning as a learning media has been developed rapidly. But students have lack of interest to learn. We develop e-learning system with gamification concepts to solve that problem. Gamification concepts that implemented to the system includes point, badge, reward, and leaderboard. We also implement gamification element such as game mechanic, game design, and game thinking. The system tested to the students and got improvement 81,60% for interest to learn.
Eyeball Movement Detection To Control Smart Wheelchair Using Eye Aspect Ratio (EAR) Pangestu, Gusti
MATICS Vol 13, No 2 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i2.12963

Abstract

Many developed technology's with an aim of helping the disabilities. One of them is a wheelchair. It is the most common stuff that used for helping disabilities as a tool for mobilization. There are two types of wheelchair. The first is the manual wheelchair, operated by hand. The second is an electrical wheelchair, that operated by joystick or other electric device. This research proposed a mechanism to control the wheelchair by using an eye movement. It could be used especially for people with multiple disabilities (hand and foot defects), so they can take an advantage of their eyeballs as a tool to control wheelchair movement. There are five options for controlling the wheelchair (leftward, rightward, upward, downward and center). Leftward, rightward and center used for control direction of smart wheelchair. Furthermore, upward and downward of eye movements used to control the speed of smart wheelchair. Upward command used to increase the speed. Meanwhile, down-ward used to decrease the speed (stop). The proposed method used EAR (Eye Aspect Ratio), which divided into three regions based on sector area, for determining the directions of the eyeball movement. EAR is the value that represents the ratio between the upper eyelid and lower eyelid. The result obtained high accuracy
IMPLEMENTASI GAME SEBAGAI MEDIA SOSIALISAI MITIGASI GUNNG MELETUS PADA SISWA SD KELAS 4 DENGAN MENGGUNAKAN METODE FINITE STATE MACHINE DAN FUZZY SUGENO Muqorrobin, Yastaqiim
MATICS Vol 13, No 2 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i2.8400

Abstract

Indonesia merupakan negara yang rentan terhadap bencana. Salah satunya adalah gempa bumi dan gunung meletus. Edukasi tentang mitigasi bencana perlu dikenalkan sejak usia dini, tidak terkecuali untuk siswa sekolah dasar. Saat ini, media edukasi untuk menumbuhkan kemandirian dan keselamatan dalam keadaan darurat bagi siswa sekolah dasar masih sangat kurang. Kurangnya media edukasi untuk mengenali, mencegah, atau menyelamatkan diri dari situasi berbahaya, serta keterampilan berkomunikasi untuk melaporkan situasi apabila terjadi. Sehubungan dengan pesatnya perkembangan teknologi, game virtual telah menjadi salah satu teknologi yang populer di zaman ini. Oleh karena itu, perlu adanya game edukasi yang berisi mitgasi berupa simulasi dan pengetahuan mengenai mitigasi bencana. Game sebagai media pendekatan diharapkan masyarakat khususnya siswa SD Kelas 4 dapat mengenali dan mengatasi berbagai ancaman dan dampak dari bencana gunung meletus dan gempa. selain itu akan memudahkan pemerintah untuk mengatasi beberapa kendala dari sosialisasi mitigasi bencana yang dilakukan secara tradisional. Pada penelitian ini membahas tentang penerapan fuzzy Sugeno kedalam game sosilasisasi mitigasi dan memfokuskan bagaimana respon dari NPC kepada player dengan menggunakan kecerdasan buatan (Artificial Intelligence) sebagai jenis pemograman yang dapat melakukan tindakan serta berpikir secara rasional pada saat yang bersamaan maupun tidak. Hasil yang didapatkan bahwa  metode fuzzy Sugeno dan finite state machine berhasil diterapkan pada perilaku NPC pada game dengan  hasil persentase pada setiap varaibel memiliki nilai perbedaan yang tidak cukup jauh yang menunjukkan bahwa banyaknya nilai kemungkinan perilaku NPC yang akan muncul. Berdasarkan uji coba yang dilakukan pada siswa, diketahui bahwa persentase kriteria M memiliki nilai persentase yang paling besar sehingga game dapat dikatakan dalam kategori menyenangkan.
Analisis Kinerja Algoritma Naive Bayes dalam Mendeteksi Sinyal Menggunakan Metode Principal Component Analysis Chaidir, Muhammad Faishal
MATICS Vol 13, No 2 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i2.13112

Abstract

Melakukan analisis teknikal saat trading sangatlah penting agar terhindar dari kerugian. Penelitian ini bertujuan untuk memberi referensi tambahan kepada para trader dalam pengambilan keputusan, khususnya untuk saham PT. Resource Alam Indonesia Tbk (KKGI). Penelitian ini merupakan analisis teknikal yang menggunakan enam indikator yaitu Bollinger Band, MACD, Pivot Point, ADX, CCI, dan Stochastic. Setiap indikator memiliki beberapa atribut, jumlah keseluruhan atribut dari keenam indikator adalah 36. Untuk mereduksi data yang tidak begitu penting, penelitian ini menerapkan metode Principal Component Analysis (PCA). Kemudian data diproses menggunakan algoritma klasifikasi Naive Bayes pada perangkat lunak Weka 3.8 sehingga menghasilkan sinyal buy/sell. Hasil yang didapat dari penelitian ini yaitu berkas model yang optimal untuk mendeteksi sinyal jual/beli. Model ini berguna bagi para trader dalam mengambil keputusan untuk mendapatkan keuntungan maksimal.Kata kunci : Analisis Teknikal, Naive Bayes, Principal Component Analysis, Weka
Analisis Dan Pengembangan Sistem Informasi Bisnis Dengan Pemodelan Arsitektur Enterprise Zachman Framework Pada PT. Deliv Tehnologi Indoraya Mukhammad, Zaki
MATICS Vol 13, No 2 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i2.7573

Abstract

@font-face{ font-family:"Times New Roman"; } @font-face{ font-family:"宋体"; } p.MsoNormal{ mso-style-name:Normal; mso-style-parent:""; margin:0pt; margin-bottom:.0001pt; text-autospace:none; font-family:'Times New Roman'; } p.MsoHeader{ mso-style-name:Header; margin:0pt; margin-bottom:.0001pt; text-autospace:none; font-family:'Times New Roman'; } span.msoIns{ mso-style-type:export-only; mso-style-name:""; text-decoration:underline; text-underline:single; color:blue; } span.msoDel{ mso-style-type:export-only; mso-style-name:""; text-decoration:line-through; color:red; } @page{mso-page-border-surround-header:no; mso-page-border-surround-footer:no;}@page Section0{ } div.Section0{page:Section0;}Arsitektur sistem informasi merupakan permodelan dalam memandang dari komponen-komponen yang terlibat secara keseluruhan di organisasi. Zachman framework adalah salah satu framework untuk arsitektur sistem informasi yang memberikan gambaran hasil dari arsitektur sistem informasi. Pemahaman framework ini berguna dalam menentukan metoda arsitektur sistem informasi yang mana akan dipakai. Enterprise Architecture Zachman Framework merupakan salah satu metode untuk mengembangkan arsitektur sistem informasi. Penelitian ini menjelaskan keterkaitannya dengan artifak-artifak pada Zachman Framework, dalam tahapan pembuatan arsitektur sistem informasi berdasarkan metode Zachman framework. Tempat penelitian studi kasus di PT. Deliv Tehnologi Indoraya. Hasil studi kasus berupa dokumen arsitektur sistem informasi sebagai landasan bagi pengembangan sistem informasi di PT. Deliv Tehnologi Indoraya.
Air Quality Forecasting in DKI Jakarta Using Artificial Neural Network Asfilia Nova Anggraini; Nisa Kholifatul Ummah; Yessy Fatmasari; Khadijah Fahmi Hayati Holle
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.13863

Abstract

The increase in the use of motorized vehicles increases air pollution conditions, especially in big cities such as the capital city of Indonesia, Jakarta. The pollution that pollutes this city contains various kinds of chemical particles that are harmful to living things when they enter the body. several efforts to reduce this pollution have been carried out, one of which is by identifying the pollutants contained in the air. This study uses data obtained from monitoring stations to predict the content of pollutants in the air at some time in the future. the method used is data mining forecasting with a neural network model. by using rapid miner obtained several graphic descriptions of pollutant conditions in Jakarta that go up and down. pollutant levels of SO2, CO, PM10 and NO2 all increased in the November-December period and at the same time period, ozone was at its lowest point. Results from Prediction air quality using Artificial Neural Network with 5 parameters, shown on this pollutant PM10 had an RMSE of 9,477; SO2 had an RMSE 5,474; CO had an RMSE 8,392; O3 had an RMSE 18,250; NO2 had an RMSE 5,171. Can be concluded that the RMSE value of O3 is higher than the others and the lowest value of NO2.
Adapting TAM to Understand Video Conferencing Apps Adoption for Learning Islamic Knowledge Nindita Erwanti
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.15504

Abstract

Seeking knowledge is obligatory for Muslims. Video conferencing apps help Muslims for learning Islamic knowledge. This study attempted to comprehend factors influencing intention to use video conferencing applications for learning Islamic knowledge by modifying Technology Acceptance Model (TAM). The data was gathered through a questionnaire from 85 respondents. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to evaluate the proposed model. The findings show that perceived usefulness, perceived ease of use, and religiosity all have a significant influence on behavioral intention to use video conferencing apps. Furthermore, religiosity significantly influences perceived usefulness. Facilitating condition also significantly influences perceived usefulness and perceived ease of use.
Phrase Based and Neural Network Translation for Text Transliteration from Arabic to Indonesia Alvian Burhanuddin; Ahmad Latif Qosim; Rizqi Amaliya
MATICS Vol 14, No 1 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i1.13853

Abstract

Abstract- Transliteration is one solution to overcome the inability to read and write Arabic in Indonesia. However, this transliteration has many different versions in reality. The many differences in transliteration versions make it difficult for people to understand and pronounce the Arabic sentence. So there needs to be an approach to overcome the problem of these differences. The data mining approach can be used as an option to reduce these differences. In this study, the researcher found that automatic transliteration based on the data mining model had a reasonably good BLEU value.

Page 18 of 24 | Total Record : 237

 16   17   18   19   20 

Filter by Year

2010 2025


Reset
Filter By Issues
All Issue Vol 17, No 2 (2025): MATICS Vol 17, No 1 (2025): MATICS Vol 16, No 2 (2024): MATICS Vol 16, No 1 (2024): MATICS Vol 15, No 2 (2023): MATICS Vol 15, No 1 (2023): MATICS Vol 14, No 2 (2022): MATICS Vol 14, No 1 (2022): MATICS Vol 13, No 2 (2021): MATICS Vol 13, No 1 (2021): MATICS Vol 12, No 2 (2020): MATICS Vol 12, No 1 (2020): MATICS Vol 11, No 2 (2019): MATICS Vol 11, No 1 (2019): MATICS Vol 10, No 2 (2018): MATICS Vol 10, No 2 (2018): MATICS Vol 10, No 1 (2018): MATICS Vol 9, No 2 (2017): MATICS Vol 9, No 1 (2017): MATICS Vol 8, No 2 (2016): MATICS Vol 8, No 1 (2016): MATICS Vol 7, No 2 (2015): Matics Vol 7, No 1 (2015): Matics Vol 1, No 1 (2015): Matics Vol 6, No 2 (2014): MATICS Vol 1, No 1 (2014): Matics MATICS (Vol 5, No 3 MATICS (Vol. 4, No 5 MATICS (Vol. 4 No. 4 MATICS (Vol. 4 No. 3 MATICS (Vol. 4 No. 2 MATICS (Vol. 4 No. 1 More Issue