Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) http://jtika.if.unram.ac.id/index.php/JTIKA <p>Jurnal Teknologi Informasi, Komputer dan Aplikasinya (JTIKA) adalah jurnal ilmiah di bidang teknologi informasi, ilmu komputer dan aplikasinya yang dipublikasi oleh Program Studi Teknik Informatika Fakultas Teknik Universitas Mataram dengan&nbsp;<strong><em>online ISSN 2657-0327 dan sudah terakreditasi SINTA 4</em></strong><strong><em>. </em></strong>JTIKA&nbsp;adalah <strong>open access</strong> jurnal&nbsp;dengan proses review secara&nbsp;&nbsp;<em>blind</em>&nbsp;&nbsp;dan&nbsp;<em>peer-review </em>&nbsp;yang&nbsp; dilakukan oleh sekurang-kurangnya &nbsp;2 orang reviewer.&nbsp; JTIKA memiliki Jumlah terbitan sebanyak 2 kali dalam setahun yaitu pada bulan <strong>Maret</strong> dan <strong>September</strong>.</p> <p>Tujuan utama JTIKA adalah sebagai media untuk mempublikasikan artikel&nbsp;hasil penelitian, inovasi aplikasi, studi perbandingan yang&nbsp;berkualitas baik&nbsp;dan&nbsp;mengikuti&nbsp;perkembangan dan tren teknologi baru dibidang&nbsp;Teknologi informasi, Komputer adan Aplikasinya. Artikel yang dipublikasikan pada JTIKA dapat ditulis dalam bahasa Indonesia maupun bahasa Inggris.</p> Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram en-US Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) 2657-0327 SISTEM INFORMASI KEUANGAN TAMAN PENDIDIKAN AL-QUR’AN (TPQ) NURUL HUDA KR.TAPEN BERBASIS WEB http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/47 <p><em>Al-Qur'an Education Park of Nurul Huda Kr. Tapen manages and presents financial information using Microsoft Excel. The processing and presentation of financial information using Microsoft Excel raises several problems such as difficulties in data collection of financial income, difficulties in carrying out data collection for brothers and sisters, the problem of donor registration that is still done offline and difficulties in reporting financial institutions recapitulation. Therefore, a web-based financial information system is needed that can overcome these problems. In this research a system was developed that could facilitate agency employees in managing income including infaq input for santri siblings, expenditure management, printing incentive slips for each teacher and report on the institution's overall financial recapitulation. Financial information systems are built with HTML and PHP programming languages, using Codeigniter as framework, MySql as a database server and Xampp as a local server.</em></p> <p>&nbsp;</p> Nurhayati Nurhayati Sri Endang Anjarwani Ariyan Zubaidi ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 1 10 10.29303/jtika.v4i1.47 IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK UNTUK PENGENALAN HURUF AKSARA SASAK PADA ANDROID http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/132 <p>Huruf aksara merupakan salah satu warisan dari suku sasak dan perlu untuk dijaga keberadaannya, salah satunya <br>adalah aksara sasak. seiring berkembangnya zaman huruf aksara sasak mulai semakin jarang dipelajari untuk itu <br>diperlukan cara agar tetap dapat lestari diantaranya dengan membuat mesin untuk mengenali aksara sasak. Pada <br>penelitian ini akan mengenali huruf aksara sasak dari model CNN yang telah dilatih untuk diimplementasikan ke <br>perangkat android. CNN merupakan suatu model pembelajaran mesin yang dapat digunakan untuk melakukan <br>klasifikasi pada suatu gambar. Dataset yang digunakan yaitu sebanyak 10.800 yang terdiri dari 5400 data tulisan <br>tangan yang diambil pada empat kategori yaitu SD, SMP, SMA dan Perguruan Tinggi. Pada penelitian ini model terbaik <br>yang diperoleh menghasilkan akurasi sebesar 99.31%. Hasil implementasi model ke android diujikan kepada 45 <br>responden dan memperoleh rata-rata akurasi sebesar 80.83% dengan akurasi tertinggi 95.56% dan terendah sebesar <br>51.11%. Hasil akurasi yang diperoleh dipengaruhi oleh bentuk tulisan pada perangkat android.</p> Reza Rismawandi I Gede Pasek Suta Wijaya Gibran Satya Nugraha ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 11 20 10.29303/jtika.v4i1.132 ANALISIS PERBANDINGAN PERFORMA MODE TRAFIK TCP DAN UDP MENGGUNAKAN PROTOKOL ROUTING AODV DAN DSR PADA JARINGAN MANET http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/162 <p><em>Mobile Ad Hoc Network </em>(MANET) adalah sebuah jaringan tanpa kabel yang terdiri atas <em>mobile node </em>yang bergerak secara acak. <em>Node-node </em>dalam jaringan ini berfungsi juga sebagai <em>router </em>yang bertanggung jawab untuk mencari dan menangani <em>rute </em>ke setiap <em>node </em>didalam jaringan. Didalam proses transmisi informasi dari sumber ke tujuan tersebut sering ditemui kendala sehingga menimbulkan beberapa masalah, seperti <em>packet loss, delay </em>waktu yang lama, dan masalah-masalah lainnya sehingga diperlukan strategi pemilihan skenario trafik yang baik agar setidaknya dapat mengurangi masalah-masalah tersebut. Transmisi informasi sangat bergantung pada kinerja skenario trafik yang digunakan, karena skenario trafik menentukan keandalan dalam transmisi paket [1]. Pada MANET terdapat dua model variasi mode trafik yang sering digunakan yaitu TCP/FTP dan UDP/CBR. Pada penelitian ini akan dilakukan ANALISIS PERBANDINGAN PERFORMA MODE TRAFIK TCP DAN UDP MENGGUNAKAN PROTOKOL ROUTING AODV DAN DSR PADA JARINGAN MANET. Untuk mengukur performa kinerja dari skenario jaringan, digunakan beberapa parameter ukur antara lain adalah <em>packet loss, throughput, </em>dan <em>end to end delay.</em></p> Niana Niana Andy Hidayat Jatmika Ariyan Zubaidi ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 21 26 10.29303/jtika.v4i1.162 ANALISIS TATA KELOLA UNTUK MENINGKATKAN PEMASARAN PARIWISATA LOMBOK (STUDI KASUS : BIDANG PEMASARAN DINAS PARIWISATA PROVINSI NTB) MENGGUNAKAN FRAMEWORK COBIT 4.1 DAN ITIL V3 http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/163 <p>Dinas Pariwisata (DisPar) adalah lembaga pelaksana bidang pariwisata pemerintah daerah Nusa Tenggara Barat dengan menyelenggarakan perumusan kebijakan teknis, kebijakan evaluasi, pelaporan administrasi dan pelaksanaan fungsi lain yang diberikan oleh Gubernur terkait dengan tugas dan fungsinya. Dispar memiliki banyak permasalahan salah satunya adalah pemasaran pariwisata belum dilaksanakan secara terarah, efektif, efisien, dan berkualitas. Karena adanya permasalahan-permasalahan tersebut, penulis bermaksud melakukan Analisis Tata Kelola TI untuk membantu memperbaiki kekurangan dari Teknologi Informasi yang ada pada DisPar Provinsi NTB. Tata Kelola TI dapat dijadikan sebagai solusi untuk mengetahui apakah pelayanan, pemulihan dan perencanaan yang dilakukan sudah sesuai atau belum dengan yang sudah direncanakan dari DisPar Provinsi NTB itu sendiri. Selain itu, Tata Kelola TI juga dapat menjadi referensi untuk pengelolaan manajemen TI pada DisPar Provinsi NTB. Tata Kelola TI (<em>IT governance</em>) menyediakan banyak<em> tools </em>di antaranya adalah COBIT dan ITIL yang akan penulis gunakan pada penelitian ini. Proses TI COBIT 4.1 yang digunakan untuk DisPar yaitu PO6 (mengkomunikasikan tujuan dan arah manajemen) sedangkan AI7 (install dan akreditasi solusi dan perubahan) dan siklus layanan ITIL V3 yang digunakan untuk DisPar yaitu <em>Service Strategy </em>(Strategi Layanan)<em>, Service Transition </em>(Transisi Layanan)<em>,</em> dan <em>Service Operation </em>(Pengoperasian Layanan).</p> Marlina Safitri Nadiyasari Agitha Budi Irmawati ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 27 39 10.29303/jtika.v4i1.163 OPTIMALISASI PENGENALAN WAJAH BERBASIS LINEAR DISCRIMINANT ANALYSIS DAN K-NEAREST NEIGHBOR MENGGUNAKAN PARTICLE SWARM OPTIMIZATION http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/167 <p><em>Face is a biometric feature that can be identified by most people in the world. Digital images of faces can be utilized by computer systems for the purpose of recognizing one's identity. In doing facial recognition, computers need the right method to get high accuracy with good computation time. In this study, the Linear Discriminant Analysis (LDA) feature extraction method and the K-Nearest Neighbor (KNN) classification method were implemented using the Particle Swarm Optimization (PSO) method for feature selection. The dataset used in this study is the ORL database of 400 face images taken from 40 different people and each person has 10 face images. Based on the test results, the highest accuracy obtained by LDA and KNN is 70.00% with a computation time of 0.2233s, while LDA and KNN based on PSO get the highest accuracy of 71.67% with a computation time of 0.1224s. So, it can be concluded that there is an increase in accuracy after the application of PSO, which is 1.67% and saves computation time by 0.1009s. An increase in accuracy indicates that PSO is able to select the best features correctly and is feasible to be processed at the time of classification.</em></p> Muhammad Husnul Ramdani I Gede Pasek Suta Wijaya Ramaditia Dwiyansaputra ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 40 51 10.29303/jtika.v4i1.167 SISTEM INFORMASI DATA KEPENDUDUKAN DINAS PENGENDALIAN PENDUDUK, KELUARGA BERENCANA, PEMBERDAYAAN PEREMPUAN DAN PERLINDUNGAN ANAK (DP2KBP3A) LOMBOK BARAT http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/168 <p><em>Manual data processing leads to difficulty on managing existing data; hard to find and data need to be modified by fill in the form manually. That problem is concerned to lead to an error on data collection and interfere with government of village policy making. Web-based population data information system contains dashboard and data entry will be designed for those problem. This information system built using PHP programming language with CodeIgniter framework and MySQL as database. This information system also adapting Prototype method. This information system designed to help government of village to input and observe population data in order to determine policy and prioritize the problem that occur in the village.</em></p> Ghazwan Septrian Ahmad Nadiyasari Agitha Budi Irmawati ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 52 62 10.29303/jtika.v4i1.168 IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISIS TRANSAKSI PENJUALAN OBAT (STUDI KASUS : APOTEK GILDA FARMA 2 ) http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/170 <p><em>The transaction data contained in the pharmacy cannot be utilized optimally by the pharmacy. Management of data into useful information can be done by mining data (data mining). In this study, data processing uses the Apriori algorithm by utilizing association rules to obtain a pattern of connectedness from a combination of items. The results of processing transaction data will produce a number of rules that can serve as material for consideration in decision making. The amount of data used in this study was 43,191 transactions with 86,441 drug items and 449 drug names from sales transaction data for 1 year. The test scenario was carried out 4 times with 5 iterations in each test with different threshold values ​​for minimum support and confidence. The optimal minimum support threshold value obtained is 0.004 and the optimal minimum confidence is 0.06. The rules generated in this study amounted to 6 rules with 2 item combinations. The strongest rule combination is allopurinol and piroxicam with a support value of 0.006680 and a confidence of 0.191011 for the lowest rules value for a combination of paracetamol and amoxycillin drugs with a support value of 0.004396 and a confidence of 0.061809.</em></p> Muhammad Sholihul Hamdi I Gede Putu Wirarama Wadashwara Wirawan Fitri Bimantoro ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 63 74 10.29303/jtika.v4i1.170 KLASIFIKASI JENIS DAN TINGKAT KEMATANGAN BUAH PEPAYA BERDASARKAN FITUR WARNA, TEKSTUR DAN BENTUK MENGGUNAKAN SUPPORT VECTOR MACHINE http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/171 <p>Differences in the type of papaya fruit and the level of maturity of ripe and unripe papayas can be seen from the color, texture and shape. Manually, consumers can check by looking at the condition of the papaya fruit based on its distinguishing characteristics. This manual method can of course produce different conclusions for each person. Errors also often occur because this manual method is very dependent on understanding the characteristics of papaya fruit and the level of accuracy. Therefore, we need a system that can classify the type and level of maturity automatically. In this research, a system is developed that can classify types and levels of maturity based on color, texture and shape features using the Support Vector Machine (SVM) method. The statistical approach method and the GLCM method are used in the feature extraction process. Color features in the HSI and YCbCr color spaces, texture features with GLCM and Horizontal Vertical Projection Integral shape features. The total data used in this study were 600 images of papaya fruit which were divided into training data and test data. The highest accuracy for the Bangkok dataset is obtained on the HSI feature, which is 66%, while for the California dataset it is obtained on the HSI feature, which is 65%.</p> Lidia Ardhia Wardani I Gede Pasek Suta Wijaya Fitri Bimantoro ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 75 87 10.29303/jtika.v4i1.171 PENERAPAN METODE BACKPROPAGATION DAN ICZ-ZCZ PADA PENGENALAN POLA TULISAN TANGAN AKSARA BIMA http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/172 <p><em>The Bima Script as known as Aksara Bima is one of Bima’s local heritage that needs to be preserved. Based on an online questionnaire of 81 respondent from Bima, there were 66.7% of people who were not familiar with the Bima's Script and 45.7% of people did not even know the existence of the Bima's Script [2]. One of the ways to preserving the Bima script is building a pattern recognition. This research proposes to build a machine learning model that is able to recognize the Handwriting of Bima Script through Zoning feature extraction, Image Centroid Zone (ICZ) and Zone Centroid Zone combined with Backpropagation Neural Network (BPNN) classification. Result of the test using ICZ reached an accuracy up to 87.03% and the result using ZCZ reached and accuracy up to 88.64%, The best performance obtained accuracy up to 89.89% by applying Hidden size = 2, 128 neurons, 0.02 learning rate, error limit 0.001, 1000 epochs, and 9:1 training:testing data.</em></p> rizka amalia Fitri Bimantoro Arik Aranta ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 88 96 10.29303/jtika.v4i1.172 RANCANG BANGUN SIMULATOR PENGENDALIAN LIFT 6 LANTAI BERBASIS PLC http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/174 <p><em>Elevator is a vertical means of transportation that requires a control system to change floor positions. The controller used in this research is a Programable Logic Controller (PLC). In PLCs, the designed logic is represented in ladder diagrams and embedded in internal memory. The design of the elevator simulator uses a board measuring 30cmx40cm, consisting of a PLC unit, several electronic components such as LEDs, on-off switches, cables, resistors, external power supply for the LED circuit power source as an output indicator. In the test, the LED will actively adjust to the logic design in the ladder diagram. The illustration of the control of a 6-floor elevator is described in the LED circuit simulator, including as an indicator of the movement of the elevator to each floor and a switch as a representation of the limit switch sensor and the pointer button for other purposes in a work process on the 6-floor elevator system. The logic of the system is built from 30 input indicators and 22 output indicators. After several stages of the test scenario have been carried out, the control logic that has been designed can work well.</em></p> Abdurrohman Sudaesi Giri Wahyu Wiriasto Paniran Paniran ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 97 106 10.29303/jtika.v4i1.174 DESKTOP-BASED PLANTATION MONITORING INFORMATION SYSTEM DESIGN http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/178 <p><em>Lombok Island has extensive land resources with a lot of water content so that it is suitable to be managed and utilized for plantation. The Local Government continues to try to expand the planting area of ​​the plantation sector in order to increase production. To control management and development in plantation sector, Local Government needs a plantation monitoring information system. Some aspects of plantation that can be monitored include the location and area of ​​planting, types of plantation commodities, number of trees, amount of production, planting time, estimated harvest time, income and outlay. With the monitoring system, complete plantation data will be obtained so that Local Government can establish appropriate policies to increase production yields in plantation sector. The plantation monitoring information system designed is desktop-based. The results obtained from the design are MySQL database design and User Interface design.</em><em>Desktop-Based, Plantation, Monitoring, </em><em>Information System, Design</em></p> Valian Yoga Pudya Ardhana M. Dermawan Mulyodiputro ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 107 112 10.29303/jtika.v4i1.178 SISTEM PENDUKUNG KEPUTUSAN DALAM MEMILIH AIR CONDITIONER (AC) DENGAN METODE SIMPLE ADDITIVE WEIGHTING http://jtika.if.unram.ac.id/index.php/JTIKA/article/view/184 <p><em>Sales of Air Conditioners (AC) in Indonesia have increased due to the increase in temperature in Indonesia every year. This makes the use of electrical energy in Indonesia also increasing, excessive use of electricity can cause problems such as global warming. One solution to save on the use of electrical energy is to choose the right air conditioner as needed so that electricity use can be more efficient. To assist buyers in choosing air conditioners because the types of air conditioners are increasingly varied in terms of price, model and quality, a decision support system is needed that can assist buyers in choosing an air conditioner that suits their needs. The method used in this research is simple additive weighting (SAW) method. SAW is a decision support system method that determines the best alternative by calculating the weighted sum of the performance ratings on all alternatives across all criteria. Based on the results of the tests in this study, using the simple additive weighting method can help buyers in choosing an air conditioner that is in accordance with the choices that have been determined by the buyer using price, PK, power, cooling capacity, weight, warranty as comparison criteria.</em></p> <p><strong><em>Keywords: </em></strong><em>&nbsp;Air conditioner, Choosing the right air conditioner, Decision support system, Simple additive weighting (SAW), Sales of air conditioners, Use of electrical energy</em></p> Felix . Anton Siswo Raharjo Ansori ##submission.copyrightStatement## 2022-03-31 2022-03-31 4 1 113 121 10.29303/jtika.v4i1.184