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Sirojul Hadi
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Jurnal Bumigora Information Technology (BITe)
Published by Universitas Bumigora
ISSN : 26854066     EISSN : 26854066     DOI : https://doi.org/10.30812/bite
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering
Jurnal Bumigora Information Technology (BITe) is one of the journals owned at Bumigora University which is managed by the Department of Computer Science. This journal is intended to provide publications for academics, researchers and practitioners who wish to publish research in the field of information technology and computer science. BITe Journal is published in 2 (two) periods, namely in June and December. The focus and scope of the BITe journal are Fuzzy Logic Control, Internet of Things, Wireless Sensor Network, Artificial Intelligence, Machine Learning and Deep Learning, Business Intelligence, Mobile Computing and Application, Data Mining, Cloud and Grid Computing, Computer Network and Security, Computer Vision, Geographical Information System (GIS), Semantic Web
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 117 Documents
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Analysis of Frontier’s Internet Network Quality Maya Sari; Irwan Sembiring; Hindriyanto Dwi Purnomo
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2184

Abstract

The demands of internet networks are ever increasing. This is caused by a huge number of applications that use the internet as their basic service and more affordable equipment that can connect to the internet. These conditions are raising a way to measure the quality of network services to see how well it could serve its user, especially regarding the internet. In this study, the parameters used to determine QoS (Quality of Service) are throughput, packet loss, delay and Jitter. Locations of measurement are wired and internet networks at the selected institute which is the shanti buana institute, bengkayang regency. The measurement method used is Quality of Service (QoS). This method is applied when analyzing the quality of the internet network. The results are very satisfactory, while the result of throughput methods are85.95 Mbps, and the amount of packet loss has a very small percentage, namely 1%. The amount of delay obtained is 46,741 ms, while the Jitter is 42,716 ms.
Pengukuran Kepuasan Pengguna GRAB di Palembang Menggunakan Metode EUCS Luh Ariningsih; Megawaty Megawaty
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2383

Abstract

In the application of information technology today, a lot of technology is developing rapidly to facilitate human work activities. Similar to an information system in the transportation sector, it has now been transformed into a more practical one. One of the Grab applications, which is an application to serve the community in carrying out daily activities such as delivery, delivery of goods, or ordering food. However, in its application to the community, the level of community satisfaction with the use of the application is unknown, it is necessary to analyze the level of satisfaction in using the application, especially the Grab application in Palembang City. This requires a system testing method that can measure the level of user satisfaction with the system used, this method is the End-User Computing Satisfaction (EUCS) method which is a method of measuring the level of user satisfaction with this Grab application and uses quantitative research in data collection of respondents as well as analysis. The respondents of this study are users and drivers who use the Grab application in Palembang City. The results obtained from this study are how the level of satisfaction of Grab application users in Palembang City which is based on the results of the partial test on the variables Content, Accuracy, Format, Ease of Used, Timeliness, Security, Speed ​​of Response has an influence on the End User Satisfaction variable.
Implementasi Metode Simple Additive Weighting pada Sistem Pendukung Keputusan Pemilihan Bibit Cabai Rawit Unggul Elvis Pawan; Nourman S Irjanto; Ratih Nurul Aprilianti; Syaraswati Syaraswati
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2386

Abstract

Cayenne pepper is one of Indonesia's mainstay horticultural crops, so the government continues to encourage farmers to maximize chili yields, aiming to achieve chili production targets. In Jayapura City, there are several areas that produce chilies, including in Koya Timur District, where most of the residents are farmers. The problem that occurs in the village of Koya Timur is the frequent crop failures due to pests, bad weather, or improper fertilization, with these problems farmers must be more selective in choosing seeds, so that the cayenne pepper plants that have been planted can survive until harvest. To select chili seeds, DSS was designed using the SAW method. The simple additive weighting (SAW) method is very suitable to be applied in a decision support system for selecting superior chili seeds, because the recommendation or the final result of the SAW method is in the form of rankings so that the selection of alternatives or chili seeds to be planted is very easy. Second, based on the results of testing the system's functionality using the blackbox method, the accuracy and suitability is 100%. Third, based on user acceptance test (UAT) testing, it shows that this system is feasible to implement.
Sistem Pakar Prognosis Covid-19 Menggunakan Algoritma Forward Chaining Yasinta Bella Fitriana; Nur Fitrianingsih Hasan; Rizky Nurbarokah Tarmino; Semi Giyai
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2399

Abstract

Coronavirus disease 2019 (COVID-19), which is a global pandemic, has resulted in trillions of losses for Indonesia. Even though the right treatment for COVID-19 can help improve the quality of life again, reduce health and economic problems for the community and the country. Handling/clinical management of the prognosis of a disease can assist doctors, medical teams and researchers in finding patterns of progression of a disease, allocating resources and helping patients and their families to understand more about the patient's condition. Prognosis is a prediction about the development of a disease will improve or vice versa based on the history, diagnosis and clinical management that the patient has gone through. This study builds a COVID-19 prognosis tool and its level of accuracy with intelligent technology based on artificial intelligence, namely an expert system using a forward chaining algorithm. Through the stages of knowledge representation, process modeling, system design, coding and system testing. The result is that the accuracy of the COVID-19 prognosis expert system is 80%, which means that the prognosis expert system with the forward chaining algorithm is effective as a learning tool for health or medical students in studying the prognosis/management of confirmed COVID-19 patients based on available data.
Prediksi Penjualan Produk Unilever Menggunakan Metode Regresi Linear Anthony Anggrawan; Hairani Hairani; Nurul Azmi
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2416

Abstract

Barokah Shop is a retail store that sells various basic necessities for daily needs. Too much inventory will result in losses such as storage costs and the possibility of a decrease in the quality of goods. On the other hand, a small amount of inventory will reduce a larger profit. This study aims to build a web-based Unilever sales prediction system using a simple linear regression method. Testing the accuracy of the prediction results of sales of Unilever products using MEA and MAPE to see the level of error in the prediction results. The dataset uses Unilever product sales data for 15 months, from January 2021 to March 2022. The dataset is divided into 12 months as training data and 3 months as testing data. Prediction results in the next 3 periods of each type of product produce the same value between the system results and the results of manual linear regression calculations. Testing the error rate on the prediction results for 3 periods, namely January to March 2022, each Ax Deodorant, Bango Kecap, Buavita, Citra Lotion, Citra Soap, Clear Shampoo, Sariwangi, Sunsilk Conditioner, Vixal and Wall's Ice Cream products belong to the category of very accurate forecasting results. With the smallest MAPE value in Sunsilk Conditioner products of 1%. Thus, the linear regression method is very accurate for predicting sales of Unilever types goods.
Analisa Cakupan Area Signal Wireless Fidelity Terhadap Kualitas Layanan Dengan Metode Top Down Network Raisul Azhar; I Putu Hariyadi; Heroe Santoso; I Gede Bagus Arthana
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2431

Abstract

The proper placement of Access Point (AP) devices will affect network connectivity. This study applies the Top-Down Network Design Method which consists of the Needs Analysis Stage, Logic Design and Physical Design. This method is used to map processes that occur by identifying the needs of all internet users, designing network topology logic and determining the physical design of computer networks to be implemented. The purpose of this study is to determine the quality of connectivity from the proper Access Point range of Access Point devices and there are no deadzone s that occur and their impact on the quality of network service to users. The conclusion of this study is that it is able to improve the quality of connectivity from the reach of internet user Access Points so that there are no more dead zone coverage areas that occur in class 1 and 2 floor buildings as well as graduate buildings in the best coverage area in the 50m range for the 2.4GHz frequency. With a total of 450 users (students and lecturers), it is sufficient to provide a minimum of 125.25Mbps internet bandwidth and required 5 Access Point units and 3 wireless router units as a whole. Placement of different locations from AP devices determines good or bad quality of service produced and there is still a packet loss of 5.9% and a Throughput of 15.93Mbps in the lecturer room and in other areas.
Implementasi Media Pembelajaran dengan Augmented Reality untuk Pengenalan Makanan Sehat Dan Bergizi Dadang Priyanto; Ahmad Deri Dustury; Apriani Apriani
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2438

Abstract

The current application of Augmented Reality (AR) technology in various fields such as games, social media, business, military, medicine and including education. This research will utilize AR in learning for grade 3 students at Barujulat 1 Public Elementary School. The problem is that the 2013 revision of the 2018 curriculum is used and uses books as study guides. From interviews with teaching teachers, students have difficulty understanding various types of healthy food related to material according to the syllabus in sub-theme 2 of learning 3 about Food Important for Health, and this condition is exacerbated by the Covid-19 pandemic situation which requires students to study online and independently at home. The purpose of this study was to make a learning application for the introduction of healthy and nutritious eating with AR for class 3 of SDN 1 Barujulat. The method used in this research is the ADDIE development method developed by Dick and Carry. The results of this study, according to the syllabus used, can improve and facilitate students' understanding in participating in learning about important foods for health. The test results for grade 3 students were 21 students/respondents, it was found that 52% of respondents said this application could increase interest in learning, and 76% of respondents said that this application could facilitate understanding of healthy and nutritious food learning materials.
Implementasi Metode KMean Clustering Pada Aplikasi Pengelompokan Daerah Produksi Garam Yosep Agus Pranoto; Nurlaily Vendyansyah
Jurnal Bumigora Information Technology (BITe) Vol 5 No 1 (2023)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i1.2690

Abstract

Background: Indonesia has a large land and sea area that has the potential for salt production. Efforts to increase salt production are still not optimal because there are still several areas that produce salt products in small quantities even though they have a large land area and a large number of farmers, so for areas like this, it is necessary to carry out guidance so that they can increase the amount of salt production. So far, no system has been used to group salt-producing regions, so it is impossible to know which areas still have the potential to increase their production. Objective: This research aims to create an application system to classify salt-producing regions. Methods: The clustering method used is K-Means, where this method can group datasets into several predetermined clusters. Result: The results of application testing carried out using 10 salt-producing region datasets obtained 4 regions with small production volume clusters, 3 regions with sufficient production volume clusters, 3 regions with large production volume clusters. Conclusion: The application of grouping salt-producing areas using the K-Means method can help the process of grouping salt-producing regions easier, faster, and more objectively.
Smart Farming System untuk Tanaman Hidroponik Berbasis Internet of Things Suryo Adi Wibowo; Kartiko Ardi Widodo; Deddy Rudhistiar
Jurnal Bumigora Information Technology (BITe) Vol 5 No 1 (2023)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i1.2691

Abstract

Background: The tropical climate that Indonesia has, with the sun shining all year round, is the advantage of Indonesia being on the equator. This tropical climate causes thousands of types of flora and fauna to grow beautifully and thrive in Indonesia as well as plants that can be cultivated, such as vegetables. It is not wrong if, at this time, vegetable plants are the target of flora hobbyists. Currently, several types of vegetable crops can be developed using the hydroponic or vertical garden method so that they can generate income even on limited land. This reason has made many flora lovers develop vertical gardens en masse or for hobby purposes. The problems that are often faced by these hobbies include the maintenance process and even delays in providing nutrients to the planting medium.Objective: The researchers designed a smart farming system for hydroponic plants based on the Internet of Things (IoT) to facilitate the maintenance of vertical garden plants.Methods: The method used in this research was fuzzy logic and the Internet of things.Result: The results of system testing found that the average deviation of the TDS sensor was 3.229% and that of the Ph meter sensor was 4.081%. Using a smart hydroponic system can increase the growth of mustard plants by 1.775%.Conclusion: IoT-based smart farming systems for hydroponic plants have been successfully developed.
Implementasi Spasial Algoritma Harvesine pada Mapbox API Untuk Pemetaan Pariwisata Ahmat Adil; Bambang Krismono Triwijoyo
Jurnal Bumigora Information Technology (BITe) Vol 5 No 1 (2023)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i1.2874

Abstract

Background: Lombok is one of the tourist destinations in West Nusa Tenggara (NTB) Province, which has various kinds of tourist destinations. Before the Covid 19 pandemic, the number of tourist visits to NTB, especially the island of Lombok, increased every year.Objective: This study aimed to implement the haversine algorithm in finding and determining the closest route to tourist destinations on Lombok Island to make it easier for tourists to choose their intended location to make the tourism sector grow again after the impact of covid 19.Methods: Geolocation concept with harvesine algorithm formula.Result: The research results are the output of the Mapbox api implementation application in the form of a geographical map of the island of Lombok by displaying spatial data of tourism locations, as well as the paths traversed to reach the intended tourist sites accompanied by the distance and time needed to reach them. The level of user satisfaction with the applications built is 87,62%.Conclusion: This research results in user satisfaction in finding information, location, and paths that can be reached to tourist sites.

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