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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika SITEKIN: Jurnal Sains, Teknologi dan Industri Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) INFORMAL: Informatics Journal Jurnal Sains dan Informatika IJISCS (International Journal Of Information System and Computer Science) Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika Brilliance: Research of Artificial Intelligence Ilmu Komputer untuk Masyarakat Digital Transformation Technology (Digitech) Teknomatika: Jurnal Informatika dan Komputer KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Karina Auliasari
Instititut Teknologi Nasional Malang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Other

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Identifikasi Pola Penggunaan Lahan pada Sektor Perikanan dan Peternakan Berbasis Sistem Informasi Geografis Auliasari, Karina; Agustine, Thesalonika Nameta
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (590.131 KB) | DOI: 10.18860/mat.v8i2.3590

Abstract

Monitoring and evaluation the quantity of the three sectors, agriculture, livestock and fisheries is conducted independently by each local government through the statistics and annual reports. But the development of information fishery and livestock sectors served from annual reports and statistical results have not been able to provide geographic information systems commodities in each district. The results of the development of the geographic information systems indicates that the category feature helps the user to view a visualization mapping fisheries sector and livestock commodities. Based on the visualization mapping analysis results, fisheries sector shows that six of the districts in Barito Utara that has not only a maximum production of fish from the river and three sub-categories of the category of the lake. For the results of visualization mapping livestock sector analysis in cattle category shows that six districts (Lahei, Teweh Tengah, Teweh Timur, Montalat, Gunung Timang and Gunung Purei) is able to fulfill the food needs of beef as a whole districts.
ANALISA POLA DATA HASIL PEMBANGUNAN KABUPATEN MALANG MENGGUNAKAN METODE ASSOCIATION RULE Sibagariang, Dewi; Auliasari, Karina
MATICS MATICS (Vol 5, No 3
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.242 KB) | DOI: 10.18860/mat.v0i0.2419

Abstract

Data of development results in an area divided into several sectors. Each sector has a commodity, government use this data to determine potential comodity in ​​small coverage area. This paper was based on our  research use association rule method,  as we know  this method commonly used in data mining to discover pattern from huge data. Apriori is an algorithm that is implemented on application in this research, this algorithm is used  to  generate strong association information (strong linkage) between commodities in each sector. Support, confidence values and relationship between each commodities in 33 districts Kabupaten Malang displayed by application. From test result showed that more higher  value of confidence and support make the strong relationships between commodity value. Minimum limit value can not support more than 33, because most transaction data which is calculated from the total number of 33 districts in Malang.
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 | Full PDF (1012.137 KB) | 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.
Co-Authors Abdul Mufid Achmad Abdillah, Nur Aditya Prasetyo, Rizki Adyatma Nandana Partha, Putra Afani, Ghana Widya Agung Panji Sasmito Agustine, Thesalonika Nameta AHMAD FAISOL Aji Wicaksono, Bayu Al Biruni, Muhammad Ali Mahmudi Amarta Sholehuddin, Mohamma Dandy Amelia, Diyona Angga Firmansyah, Puja Anggara, Aditya Anggraini, Legming Dwi Aprilian Anarki, Galang Aprillia Dwi Dyah Saputri Aprillia Dwi Dyah Saputri Aria Alfaizi, Hafiz Ariq Ihsan, Muhammad Aris Dwi Darmawan Ariwibisono, FX. As-Siddiqi, M. Halim Bagaskara Adhi P Bastian Bastomi, Dwi Bella Fardani Daniel, Lazro Eko Putra Deddy Rudhistiar Destama Karni Saputra, Davantio Dewi Sibagariang Diah Wilis Lestarining Basuki Dimas Surya Prasetyo Eka Wijaya, Daniel Eksi Adi Irawan, Alfonsus Faddilani, Muhammad Rafi Fahrudi Setiawan, Ahmad Fathur Riski Febriana Santi Wahyuni Finanda, Wibis Fisabilillah, Difa Ghani Muttaqin, Abdul Hafiidh Yupiza Ramadhani Hafiidh Yupiza Ramadhani Hamdani, Ahmad Hani Zulfia Zahro Hansen Sawa, Karolus Hasan Syu'aibi, Muhammad Hidayatur Rohman, M.Afif IBRAHIM, NAJAD Irvandani, Aditya Iva Roudhotul Rohmah Jamil Nashrulloh Kalimatullah, Moh. Teguh Laksana, Bintang Nur Lestarining Basuki, Diah Willis Luthfi Andhikaputra, Muhammad Mahmudin, Ali Mariza Kertaningtyas martha kusuma, edwin Maulana Muhammad, Maulana Mawan Kriswantono Mira Orisa Mirenty, Putri Mulan Mohamed Wasef Mohamed Wasef Muhammad Rafi Faddilani Mutiara, Siti Nurina Nurina Pitriya Rizki, Ani Pratama, Ricky Adytya Primaswara P, Renaldi Putri Oktaviani, Anindhita Qurrotuna, Fina Raden Mohamad Herdian Bhakti Raflie, Andi Muh Haekal Rahmat Dian Nugraha, Adhitya Renaldi Primaswara Prasetya Renaldi, Bima Rizki, Muhammad Fitra Rizky Prayudhi, Bimo Robby, Mohammad Rofila El Maghfiroh Roudhotul Rohmah, Iva Sahal, Muhammad Yazid Abu Sena Yudha, Rizky Sentot Achmadi Sholawati, Mutiara Sinaga, Hannes Tigor Hamonangan Siti Hadijah Solly Aryza Sukmadiningtyas Sundari Sundari Suryo Adi Wibowo Uni Umamatun Nysa, Junia Willis, Diah Xaverius Ariwibisono, Franciscus Yosep Agus Pranoto Zain Aryanta Zain Aryanta Zulfan Najib, Ahmad Zulfia Zahro’, Hani Zulkifli Abdillah