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Contact Name
Ajib Hanani, M.T
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Journal Mail Official
matics@uin-malang.ac.id
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Location
Kota malang,
Jawa timur
INDONESIA
MATICS
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Arjuna Subject : -
Articles 10 Documents
Search results for , issue " Vol 8, No 1 (2016): MATICS" : 10 Documents clear
Implementation Of Multi Experts Multi Criteria Decision Making For Rehabilitation And Reconstruction Action After A Disaster Wibowo Almais, Agung Teguh; Sarosa, Moechammad; Muslim, Muhammad Aziz
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3480

Abstract

Abstract— This article is aimed to propose a method which used Non-Numeric assessment that is Multi Experts Multi Criteria Decision Making (MEMCDM) in order to construct supporting decision system in composing rehabilitation and reconstruction action after disaster. Because in all this time “Perencanaan dan Pengendalian Penanganan Bencana (P3B)” surveyor team does not have clear standard criteria to execute the compiling rehabilitation and reconstruction action after disaster. Method Multi Experts Multi Criteria Decision Making (MEMCDM) step is to determine the alternative, assessment scale, criteria, criteria quality, criteria quality negation, criteria aggregation, and the qualification expert score. In the stage of expert qualification score for primary and secondary data is different. In secondary data, the qualification score is based on the usage of expert amount. Meanwhile, for secondary data, the expert qualification score is based on the criteria amount which is chosen by the user. Training data that has been processed using method Multi Experts Multi Criteria Decision Making (MEMCDM) can form a pattern system to assess damage and losses after natural disasters. There for it could facilitate a team of surveyors in assessing the damage and losses after natural disasters.
Aplikasi Kriptografi dan Steganografi Menggunakan Metode Least Significant Bit (LSB) dan One Time Pad (OTP) Mahmudi, Ali; Mantja, Sandy Nataly; Rozikin, Achmad
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3473

Abstract

 With the development of technology, especially in the IT field, the more developed also the current exchange of information using internet technology. Security of information transmitted via the Internet network is a must to maintain the confidentiality and originality of the information. Technology to maintain the security of the information used in this paper is a cryptography and steganography. Application cryptography to secure information on the text, then the information is hidden in digital images. So that only users who have a lock / unlock passwords only, can read the message in greeting such information.
Metode Linear Predictive Coding (LPC) Pada klasifikasi Hidden Markov Model (HMM) Untuk Kata Arabic pada penutur Indonesia Kusumawati, Ririn
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3481

Abstract

Abstract— Arabic language has a slightly different pronunciation than the Indonesian so to learn it takes a long time. In Arabia itself, there are variants in the pronunciation of the Arabic language or dialect. Dialect is a language, and letters are used by a particular group of people in a clump that makes the difference between the readings even greeting one another. In Indonesia, alone speakers of Indonesia itself have a different dialect to native speakers.This study was analyzed of Arabic writing suitability by Indonesian speakers using  Linear Predictive Coding extraction techniques. The text produces different patterns of speech. This also happens if the text is spoken by a speaker who is not the mother tongue of the speakers. The data training in this study is using the Arabic speaker sound. The feature extraction is classified using Hidden Markov Model.In the classification, using Hidden Markov Model, voice signal is analyzed and searched the maximum possible value that can be recognized. The modeling results obtained parameters are used to compare with the sound of Arabic speakers. From the test results Classification, Hidden Markov Models with Linear Predictive Coding extraction average accuracy of 78.6% for test data sampling frequency of 8,000 Hz, 80.2% for test data sampling frequency of 22050 Hz, 79% for frequencies sampling test data at 44100 Hz.
Penerapan Pemodelan Spasial pada Sistem Informasi Geografis Tenaga Kesehatan Kabupaten Malang Auliasari, Karina; -, Sukmadiningtyas
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3474

Abstract

Abstract—Geographic information systems can improve the health services to the community. This system able to provide spatial considerations in determining the type of health services and accessibility to public health facilities.The increase of health care needs, especially in Kabupaten Malang still has an unbalanced ratio between health-care facilities and service needs, so that the necessary to improve the facility and medical personnel. In this research is to developed a geographic information system that provide the visualization. The visualization of the mapping is visualization the distribution of medical personnel in Kabupaten Malang. The system generates mapping visualization that equipped with a comparative analysis of the number of medical personnel and the population of Kabupaten Malang. In this system also provides a potential data of health facilities in Kabupaten Malang. The system is also supported with data management to change facilities and medical personnel data. Results from the mapping showed that the health personnel, particularly physicians uneven. Nine of a total of thirty-three districts in Malang has a number of doctors that excessive when compared with the rest of the other districts are still lacking.
Metode Mel Frequency Cepstral Coeffisients (MFCC) Pada klasifikasi Hidden Markov Model (HMM) Untuk Kata Arabic pada Penutur Indonesia Chamidy, Totok
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3482

Abstract

Abstract— Speech recognition is a system to transform the spoken word into text. Human voice signals have a very high of variability. Speech signals in the different pronunciation text, also resulting in distinctive speech patterns. This, furthermore, happens if the text is spoken by a speaker who is not the mother tongue of the speakers. For example, text Arabic words spoken by Indonesian speaker. In this study, Mel Frequency cepstral Coeffisients (MFCC) feature extraction techniques explored for voice recognition of the Arabic words for Indonesian speakers with data training using Arabian native speakers. Furthermore, features that have been extracted, classified using Hidden Markov Model (HMM). HMM is one of the sound modeling where the voice signal is analyzed and searched the maximum probability value that can be recognized, from the modeling results will be obtained parameters are then used in the word recognition process. Recognized word is a word that has the maximum suitability. The system produces an accuracy by an average of 83.1% for test data sampling frequency of 8,000 Hz, 82.3% for test data sampling frequency of 22050 Hz, 82.2% for test data sampling frequency of 44100 Hz.
Aplikasi Pembelajaran Berbasis Mobile Untuk Tuna Aksara Padli Nasution, Muhammad Irwan; Andriana, Septiana Dewi
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3475

Abstract

Abstract - Learning is a process of transformation that is initially not knowing to knowing. Has developed a lot of learning strategies from simple to more complex models even complicated and required a lot of tools in its application. Literacy is a basic of knowledge for humans.  They can read by improving their quality, which leads to the high intellect of a person. Especially at this time humanity has entered the information age. The phenomenon of globalization is happening now accelerating so quickly, as the impact of  application of Hi-tech society (high-tech society), which causes humans followed on interaction patterns very quickly. Using Information and Communication Technology (ICT) could be developed multimedia teaching materials with the concept of learning by playing fun and implemented on a mobile based learning applications. The use of mobile devices that is easy and flexibility is very useful to support the learning process for the illiterate.
Rancang Bangun Aplikasi Pembelajaran Baca Tulis Huruf Jawa Dengan Metode Rule Based Mardhiyah, Ainatul; Mahanani, Puji; Syauqi, A’la
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3484

Abstract

Abstract– String Matching translated as sequence of processes that must be passed to resolve the problems in finding a pattern arrangement of character strings with each other exactly in the same structure. Brute-Force Algorithm explain the concept of matching strings in a line theory and source code. Consider the advantages and disadvantages that exist, the expected application of existing theory on Brute-Force algorithm can simplify the process of checking the suitability of the user answers with the answer key for building applications on the Java script learning among students as the students have to pass on the existence of java script. This application need 0.003210462 second for lesson in level 1. And need 0.003294419 second for lesson in level 2, 0.003478261 second for lesson in level 3.
Implementasi Fmadm Untuk Mendukung Keputusan Pemilihan Jenis Lampu Di Laboratorium Teknologi Informasi Politeknik Negeri Padang Nova, Fitri
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3478

Abstract

Abstrac – Lighting installation is very necessary in designing a building. The amount oflight intensity on each room is different depending on the us ability of the room it self. Simple Additive weighting (SAW) method could be used in selecting the right lamp. The greater the value of alternative earn edit the better alternative. Based on this SAW method, it is advisable touse lights that are LED with the highest on value of 9.66, then the TL lamps with a criteria on value of 6.93.
Pemodelan Aplikasi Enterprise Resource Planning Untuk Pondok Pesantren (Pemodelan Aplikasi Proses Akademik) Yaqin, M. Ainul; -, Syahiduzzaman
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3479

Abstract

Abstract— Pesantren is an institution or organization that is engaged in Islamic religious education-based community education diniyah or integrated with other types of education. As a boarding school organization requires good management information systems by implementing an integrated boarding school. The information system is an Enterprise Resource Planning (ERP) system that covers all business processes in a boarding school and focused on planning and documentation of transactions. ERP is the application used by the manufacturing company in operation. There is therefore a fundamental conceptual differences between the manufacturing process with the process of education at boarding school, so as to generate the appropriate ERP and can be used by the boarding school, the system needs to be modeled. Modelling done by creating a process diagram and diagram data.
Sampul & Daftar Isi Arifin, Deny Zainal
MATICS Vol 8, No 1 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v8i1.3672

Abstract

Sampul , Dewan Redaksi dan Daftar Isi

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