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I Gede Pasek Suta Wijaya
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Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram Jl. Majapahit 62, Mataram, Lombok, NTB
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INDONESIA
Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )
Published by Universitas Mataram
ISSN : -     EISSN : 26570327     DOI : https://doi.org/10.29303/jtika
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Jurnal Teknologi Informasi, Komputer dan Aplikasinya disingkat dengan JTIKA diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik Universitas Mataram sebagai wadah publikasi hasil penelitian original dalam di bidang teknologi informasi, ilmu komputer dan aplikasinya. JTIKA adalah open access jurnal dengan online ISSN 2657-0327 dan proses review secara blind dan peer-review yang dilakukan oleh sekurang-kurangnya 2 orang reviewer. JTIKA memiliki Jumlah terbitan sebanyak 2 kali dalam setahun yaitu pada bulan Maret dan September. Tujuan utama JTIKA adalah sebagai media untuk mempublikasikan artikel hasil penelitian, inovasi aplikasi, studi perbandingan yang berkualitas baik dan mengikuti perkembangan dan tren teknologi baru dibidang Teknologi informasi, Komputer adan Aplikasinya. Artikel yang dipublikasikan pada JTIKA dapat ditulis dalam bahasa Indonesia maupun bahasa Inggris.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 15 Documents
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Search results for , issue "Vol 2 No 2 (2020): September 2020" : 15 Documents clear
Verifikasi Tanda Tangan Menggunakan Ekstraksi Fitur LBP dan Klasifikasi LVQ Medeline Widia Andani; Gibran Satya Nugraha
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 2 (2020): September 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i2.107

Abstract

Signature is one of the media used for verification and legalization of information, such as documents that are closely related to legality. In general, signature verification is done manually by direct comparing, this is certainly not effective, especially if doing a lot verification. Therefore, we need a computer system that can automatically verify a person's signature to save time in matching and reducing errors. This research was conducted using feature of Local Binary Pattern (LBP) method and Learning Vector Quantization (LVQ) classifier. Materials that used in this research are 600 signature images with a size of 500x500 pixels taken from 30 respondents where each respondent taken 15 original signatures and 5 fake signatures. The results of this research are that the signature identification process resulted in 93% and the verification process resulted in an accuracy of 63%, a sensitivity of 89%, and a specificity of 42%.
Rancang Bangun Aplikasi Hybrid Kondisi Jalan dan Fasilitas Kelengkapan Jalan di Kota Mataram Puspita Asri Nurmalasari; Nadiyasari Agitha; Ahmad Zafrullah Mardiansyah
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 2 (2020): September 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i2.109

Abstract

Hybrid Application of Roads and Road Fittings Facilities Conditions in the City of Mataram is an application consisting of web applications and mobile applications. The web application is used by Dinas Pekerjaan Umum dan Penataan Ruang of mataram city and Dinas Perhubungan of mataram city to manage condition data from city roads and also road fittings facilities in the city of Mataram and to receive complaints of damage from the public. While the mobile application is used by the people of the city of Mataram to see the condition of the road and road fittings facilities based on data from the department and the public can also make complaints about damage from roads and road facilities. System testing using the Black Box method and MOS testing. MOS test results indicate that the average rating of respondents from Dinas Pekerjaan Umum dan Penataan Ruang of Mataram City stated strongly agree and agree were 66.67% and 33.33%. The average rating of respondents from Dinas Perhubungan of Mataram City stated strongly agree and agree were 58,33% and 41,67%. The average rating of respondents from the community stated strongly agree and agree were 52,50% and 44,17%. Therefore, this research concluded that this system is eligible to use.
Sistem Pakar Diagnosis Penyakit Tanaman Padi Menggunakan Forward Chaining dan Dempster Shafer Dianmita Ayu Putri; Arik Aranta
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 2 (2020): September 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i2.113

Abstract

Rice (Oryza sativa) is one of the main commodities in Indonesia. One of the inhibitors of rice crop production is disease. Rice plant diseases can be caused by pathogens, host plants or bad environment. The process of diagnosing rice diseases requires expertise, knowledge and experience. This study aims to build an expert system that can diagnose 13 types of rice plant diseases from 43 symptoms based on the knowledge of 3 experts with forward chaining reasoning methods and mobile-based dempster shafer calculation methods. The testing technique used is black box testing, theoretical calculation testing, system accuracy testing and MOS (Mean Opinion Score) testing. The black box test results state that the expert system has 100% compatibility in terms of functionality. The theoretical calculation test results state that the expert system calculations are in accordance with the results of manual calculations. System accuracy testing results from 30 test cases get an accuracy of 81.11%. The results of MOS testing conducted on 30 respondents produced MOS of 4.2 from a scale of 5 categorized into a good system.
Sistem Pakar untuk Mendiagnosis Gangguan Mental pada Anak Menggunakan Metode Forward Chaining dan Certainty Factor Salma Nabilla Ulpa; Fitri Bimantoro
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 2 (2020): September 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i2.117

Abstract

Mental health problems in children, such as stress, anxiety, or depression are real and these problems are as important as physical health problems, but many children do not get the care they need so an artificial intelligence technology such as an expert system can help diagnose the disorder mentally in children early. This research developed an expert system to diagnose mental disorders in children using the mobile-based Forward Chaining and Certainty Factor method that diagnoses 7 types of mental disorders in children from 46 symptoms obtained based on the knowledge of 3 experts. Based on the results of the black box testing states that the expert system that was built has had compatibility in terms of functionality. The results of the theoretical calculation test states that the calculation system of an expert diagnosis of a child's mental disorder is in accordance with the results of calculations done manually. In testing the accuracy of the system from 30 cases tested on 3 experts, the expert system that was built succeeded in producing system accuracy values ​​based on the final belief value of the three experts, based on the belief values ​​of experts 1, 2, and 3, respectively 91.11%, 96.67%, 96.67% and 80%. Furthermore, the results of MOS testing conducted on 35 respondents produce MOS of 4.12 from a scale of 5 where based on that value the expert system built is categorized into a good system.
Sistem Pakar Diagnosis Tanaman Cabai dengan Metode Forward Chaining dan Dempster Shafer Mega Laely; I Gede Pasek Suta Wijaya; Arik Aranta
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 2 (2020): September 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i2.118

Abstract

Tanaman cabai (Capsicum Annum) merupakan salah satu komoditi hortikultura yang buahnya mempunyai nilai gizi cukup tinggi terutama kandungan vitamin A dan C. Secara nasional produktivitas dan luas panen cabai menjadi yang tertinggi dibandingkan komoditi hortikultura lainnya. Salah satu masalah pada tanaman cabai adalah serangan penyakit cabai yang dapat menurunkan kualitas dan kuantitas hasil produksi cabai. Penelitian ini bertujuan untuk mengembangkan sistem pakar yang dapat mendiagnosis penyakit tanaman cabai berdasarkan pengetahuan 3 pakar dengan menggunakan 7 data penyakit cabai dan 32 data gejala. Metode yang digunakan untuk memperoleh hasil diagnois yaitu, Forward Chaining dan Dempster Shafer. Penelitian ini menggunakan 4 teknik pengujian yaitu pengujian black box dengan hasil yang secara fungsionalitas sudah berjalan sesuai perancangan, pengujian dengan perhitungan teoritis pada 1 contoh kasus menghasilkan hasil perhitungan yang tepat dengan hasil perhitungan sistem, pengujian Akurasii sistem pada 30 contoh kasus menghasilkan Akurasii sistem berdasarkan rata-rata nilai belief 3 pakar sebesar 90% dan Akurasii sistem berdasarkan nilai belief masing-masing pakar sebesar 95,56%, pengujian Mean Opinion Score (MOS) menghasilkan nilai MOS sebesar 4,35 untuk mahasiswa Teknik Informatika, nilai MOS sebesar 4 untuk Pertanian, nilai MOS sebesar 4,68 untuk Penyuluh Pertanian, nilai MOS sebesar 4.54 untuk Petani.

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