Journal of Computer Science and Informatics Engineering (J-Cosine) 2023-09-07T06:57:08+08:00 I Wayan Agus Arimbawa Open Journal Systems <p>J-COSINE (Journal of Computer Science and Informatics Engineering) merupakan jurnal dibidang Ilmu Komputer dan Teknik Informatika yang dipublikasi oleh Program Studi Teknik Infroamtika Fakultas Teknik Universitas Mataran dengan <em><strong>online ISSN 2541-0806</strong></em> dan <em><strong>print ISSN &nbsp;2540-8895.&nbsp;</strong></em>J-Cosine juga merupakan&nbsp;&nbsp;<em>blind</em>&nbsp;&nbsp;dan&nbsp;<em>peer-review jurnal</em> yang proses reviewenya dilakukan oleh sekurang-kurangnya &nbsp;2 orang reviewer yang ditujuk oleh&nbsp;associate editor.&nbsp;Jumlah terbitaan dari J-Cosine sebanyak 2 kali dalam setahun.</p> <p>Tujuan&nbsp;&nbsp;utama dari&nbsp;J-Cosine adalah untuk mempublikasikan paper hasil penelitian, inovasi aplikasi, studi perbandingan &nbsp;yang&nbsp;berkualitas baik&nbsp;dan&nbsp;mengikuti&nbsp;perkembangan dan tren teknologi baru dibidang&nbsp;Ilmu Komputer dan Teknik Informatika. Paper yang dipublikasikan pada J-Cosine dapat ditulis dalam bahasa Indonesia atau bahasa Inggris.</p> SIMRS Analysis using SUS and PIECES for User Satisfaction (Case Study: XYZ Hospital) 2023-07-04T23:08:53+08:00 Nyoman Alvia Wirayani I Made Agus Dwi Suarjaya Putu Wira Buana <p><strong>Management Information System of a Hospital is an information technology system that manages the entire service process flow within the hospital environment to obtain accurate information. One way to optimize and improve the performance of the SIMRS is by assessing user satisfaction from the perspective of employees at XYZ Hospital, requiring an evaluation. The methods used in the satisfaction analysis testing are System Usability Scale (SUS) and PIECES. The purpose of this study is to determine the level of employee satisfaction and identify the service aspects in SIMRS that need to be improved and maintained, as well as the creation of a service chatbot for distributing user satisfaction questionnaires and assisting in providing solutions to employees to resolve frequently asked problems. The System Usability Scale method obtained a score of 57.15 in the Okay category and grade D, while the PIECES method received a rating of 3.57 in the Satisfied category and grade B.</strong></p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Nyoman Alvia Wirayani, I Made Agus Dwi Suarjaya, Putu Wira Buana Sistem Monitoring Deteksi Kebakaran Bangunan Berbasis IOT dan Android dengan Google Maps API 2023-07-15T12:05:58+08:00 Zhafran Saloom I Gde Putu Wirarama Wedashwara W Ahmad Zafrullah M <p>Fire is a natural disaster which is threateing and interfering life that was caused by nature, non-nature, so that the disaster will causing, casunlties, property loss also affecting psychologis. Designing structur whice expected could, defecting a fire base on the level of smoke concentration and flame which is happend in a building also sending a notice to the fire sighting unid. Designing system monitoring stucture using android with the use of Google map API as a location determination tool of the information of where the fire accured, so that owner of the building and the fire fight could geting a realtime effecture informetion using app base an android with internet of things and Google maps, utilized the use of internet of things also can be view of sends an information between cencor so in order that owner of the&nbsp; building can also monitoring online by the used of Google maps. Google maps is functioning to send position of the fool which was installed in the building the resuld foud that flame cencor could detecting the source of fire using wave length of light between 0 – 1032 nm and smoke cencor could detecting smoke concentration between 100 – 5000 ppm the with the use of MQTT protocol it will directly send to android. android can monitoring the fire information after that is determine the location of the fire by Google maps</p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Zhafran Saloom, I Gde Putu Wirarama Wedashwara W, Ahmad Zafrullah M A Design of Early Fire Detection System In Tobacco Oven Based on Internet of Things (Case Study: East Landah Praya Village) 2023-07-04T23:10:48+08:00 Chairuman Fadhilah Ariyan Zubaidi Ahmad Zafrullah Mardiansyah <p><strong>A tobacco oven is a building measuring 4.5 x 4.5 meters that are used to bake freshly harvested tobacco leaves and can accommodate up to 5-7 shelves. The oven building is equipped with 2 bottom vents and 2 top vents that function as temperature and humidity regulators by opening or closing the vents. Tobacco oven techniques in Lombok itself can not be said to be safe, it is proven that fires in tobacco ovens often occur lately. One of the causes of tobacco oven fires is due to the presence of tobacco leaves that fall into the furnace so that the fire quickly grabs the tobacco in a semi-dry state, in addition, due to the lack of use of safety equipment above the ignition furnace, the fallen dried tobacco leaves can immediately burn. Based on these problems, research entitled "Design of Fire Early Detection System in Tobacco Oven Based on Internet Of Things was made (Case Study: East Landah Praya Village)". The system built shows the ability of the infrared fire sensor to detect the presence of fire up to 77.7% at a large fire intensity, the MQ-135 smoke sensor is set at more than 3 ppm as an indication of a fire and the DHT22 temperature sensor shows 1.5% error after comparison with a thermometer. in a tobacco oven.</strong></p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Chairuman Fadhilah, Ariyan Zubaidi, Ahmad Zafrullah Mardiansyah Aksyaa - Android Application Accounting Information System 2023-07-17T13:01:04+08:00 Bayu Hermawan Giri Wahyu Wiriasto Lalu A. Syamsul Irfan Akbar <p>Today the development of software technology in the field of accounting is increase rapidly following the trend of using mobile devices and the increasing number of new business actors. Prior to this research, we proposed an Accounting Information System (AIS) that runs on a web platform as the main server. The development of this mobile application also uses the same database as the web version running on a dual-platform, web server and mobile based. The Application Programming Interface (API) was developed on the AIS system with the RESTFul method as an integration medium using the HTTP Hyper-Text Transfer Protocol protocol between web and mobile bases in a case study of a company's transaction data. Furthermore, techniques for using the API have described on the development side of the mobile interface. Communication in HTTP is centered on the request response cycle, where the request is the process of requesting data from the server and the response is the data sent by the server according to the client's request. Based on testing the integration process, the information displayed on the mobile version of the application can work properly. Likewise, testing was carried out by entering transaction data into the system as many as 798 records with 141 account lists provided.</p> <p>As a result, the display of the mobile page shows that all features are able to work and display the same output data as AIS on the web version, including features for reports on purchases and sales of goods, cash flow, general ledger, trial balance, and income statement.</p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Bayu Hermawan, Giri Wahyu Wiriasto, Lalu A. Syamsul Irfan Akbar Android-based Marketplace Development to Develop Culinary MSMEs in Mataram City 2023-07-04T23:13:12+08:00 Raynaldy Ramdhan Wardhana Sri Endang Anjarwani Nadiyasari Agitha <p class="Abstract"><span lang="EN-US">MSMEs (Micro, Small and Medium Enterprises) also contribute to Indonesia's economic growth. In running a business that is engaged in the MSME sector, there are many obstacles faced by most of the perpetrators, one of which is in terms of marketing. Based on research on MSMEs in the province of NTB, the number of MSMEs in Mataram City as of December 31, 2018 was 58,139 businesses. Although the government has made efforts to help MSME actors, there are still many MSMEs that are not yet known by the public so that sellers must promote their products in various places so that their products can be sold, one of which is by utilizing technology such as selling their products through applications. For this reason, in this study, the author builds an Android-based MSME marketplace application in the culinary field in the city of Mataram so that culinary MSME actors in the city of Mataram can promote and sell their products through the application. The process of making the application uses the SDLC (System Development Life Cycle) method with the waterfall model and testing with black box testing. In its design, the application is built using the Kotlin programming language and Firebase services. From testing after the application development process, the results from black box testing show that all test scenarios that have been made have been as expected. Furthermore, testing with MOS (Most Opinion Scrore) was also carried out and the results obtained were the average value of all respondents for a strongly agree score of 45.33%, agree at 34%, 16.67% for moderate, and 4.67% for disagree.</span></p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Raynaldy Ramdhan Wardhana, Sri Endang Anjarwani, Nadiyasari Agitha Optimizing University Plans through Information System Strategic Planning 2023-07-04T23:13:56+08:00 Addin Gama Bertaqwa Sunardi Uswatun Hasanah <p class="Abstract"><span lang="EN-US">This study is motivated by the policy of a university related to Information System (IS) or Information Technology (IT) which was prepared without careful planning so that the information system that had been built did not fully support the university’s plan according to the university strategic plan. Therefore, the purpose of this research is to be able to implement an information system that is optimal and in line with the university strategic policies, so strategic planning of IS is needed. This is done so that the investment spent on IS development is accordance with the needs and can provide measurable benefits in accordance with the goals and objectives of the university. This study uses PEST, SWOT, Value Chain, and Critical Success Factor analysis. Then determine the IS/IT strategic plan and it is expected to produce outputs in the form of IS/IT strategic planning proposals at Campus X. Therefore, based on the results of the McFarlan Strategic Grid mapping which states that of the 6 existing IS applications, none of the applications are in the Strategic quadrant and the High Potential quadrant. The result of the IS/IT strategic planning shows that there are 12 new IS applications, the development of new network infrastructure as well as the addition of new human resources. </span></p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Addin Gama Bertaqwa, Sunardi, Uswatun Hasanah Implementasi Augmented Reality sebagai media pembelajaran perangkat Internet of Things dengan metode Marker Based Tracking 2023-07-18T09:47:16+08:00 Ragil Galuh Pangita Royana Afwani Ahmad Zafrullah Mardiansyah <p class="Abstract" style="margin-bottom: 0cm;"><span lang="EN-US" style="font-size: 12.0pt; line-height: 107%; font-weight: normal;">Learning media is an important factor in the learning process. By using the right learning media, someone can easily understand what is being studied. Currently, augmented reality is a technology that is being developed in various fields, one of which is in the field of education. Augmented reality can be an alternative to effective and interactive learning media because augmented reality can combine 2D or 3D objects into a real environment. To learn about the internet of things devices, currently, students can only learn through books or do the hands-on practice. If an error occurs during practice, it can cause damage to the internet of things device. By utilizing augmented reality technology, a new learning media is created by combining 3D objects from internet of things devices into the real environment.</span></p> <p class="Abstract"><span lang="EN-US" style="font-size: 12.0pt; line-height: 107%; font-weight: normal;">This learning media application was tested using the Blackbox and Mean Opinion Score methods. Blackbox testing shows that all functions have been running properly by the functional requirements that have been defined. Testing using the Mean Opinion Score shows that the average student respondent's assessment of the application is stated to strongly agree as much as 60.3% and agree as much as 35.3%.</span></p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Ragil Galuh Pangita, Royana Afwani, Ahmad Zafrullah Mardiansyah Pengelompokan Provinsi di Indonesia Berdasarkan Indikator Pendidikan Menggunakan Metode K-Means Clustering 2023-07-14T17:12:29+08:00 Mindi Richia Putri Gibran Satya Nugraha Ramaditia Dwiyansaputra <p><span class="fontstyle0">The education level of the Indonesian people has improved, but has not yet reached the entire population. The educational disparity that occurs between economic groups is still a problem and widens as the level of education increases. The education gap is also still high when compared between regions. Quality learning also has not run optimally and evenly between regions. Accurate and complete information is needed as a reference in planning and determining the right strategy in facing development challenges in the education sector. This information is expected to explain the current condition and situation of education development in Indonesia. This study aims to group provinces in Indonesia based on educational<br>indicators using the K-Means method. The data and parameters used are based on a portrait of education statistics in Indonesia in 2020. This study shows that clustering produces the best cluster quality at K=3 based on the Silhouette Coefficient</span></p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Mindi Richia Putri, Gibran Satya Nugraha, Ramaditia Dwiyansaputra Classification of Natural Disaster Reports from Social Media using K-Means SMOTE and Multinomial Naïve Bayes 2023-07-04T23:14:56+08:00 Nor Indrani Mohammad Reza Faisal Irwan Budiman Dwi Kartini Friska Abadi Septyan Eka Prastya Mera Kartika Delimayanti <p>Disasters can occur anytime and anywhere. Floods and forest fires are two types of disasters that occur in Indonesia. South Kalimantan Province is an area that frequently experiences floods and forest fires. The dataset used for previous research's flood and forest fire disaster data is unbalanced. Unbalanced data conditions can complicate the classification method in carrying out the classification process. The sampling method for the data level approach that can be used to solve imbalance problems is oversampling, one of the derivatives of oversampling, namely SMOTE. The K-Means SMOTE method is a modification of SMOTE. One Naïve Bayes model often used in text classification is Multinomial Naïve Bayes. Multinomial Naïve Bayes has a good performance in classifying text. The research results on flood disaster data using K-Means SMOTE with Multinomial Naïve Bayes yielded an f1 score of 66.04%, and forest fire disaster data using K-Means SMOTE with Multinomial Naïve Bayes produced an f1 score of 66.31%.</p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Nor Indrani, Mohammad Reza Faisal, Irwan Budiman, Dwi Kartini, Friska Abadi, Septyan Eka Prastya, Mera Kartika Delimayanti Perbandingan Certainty Factor dan Dempster Shafer dalam Sistem Pakar Diagnosis Penyakit Tanaman Padi Kerjasama dengan Petani 2023-09-07T06:57:08+08:00 Nidhom Ichtira I Gede Pasek Suta Wijaya Arik Aranta <p>Rice is the staple food of the people in West Lombok. However, rice plants are susceptible to disease from pests, fungi and unfavorable environments. This study was constructed to compare the performance of the Dempster Shafer and Certainty Factor methods in an expert system for diagnosing rice plant diseases based on the knowledge of 3 experts. From the accuracy test performed, it was found that the accuracy value of the system using the Dempster Shafer method was 81.11% while using the Certainty Factor method an accuracy value was 69%, so it can be concluded that the expert system for diagnosing rice plant diseases using the Dempster Shafer method is more accurate than using Certainty Factor method. From the MOS test carried out, using the Dempster Shafer method and obtained an average result of 4.2 while using the Certainty Factor method obtained an average result of 4.63, so it can be concluded that the system with the Certainty Factor method is easier and more interesting to use even though the accuracy value is lower.</p> 2023-06-30T00:00:00+08:00 Copyright (c) 2023 Nidhom Ichtira, I Gede Pasek Suta Wijaya, Arik Aranta