Infotek : Jurnal Informatika dan Teknologi

Journal Information
EISSN : 2614-8773
Current Publisher: Universitas Hamzanwadi (10.29408)
Total articles ≅ 58
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Fathurrahman Fathurrahman, Universitas Hamzanwadi, Yupi Kuspandi Putra
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 1-10; doi:10.29408/jit.v4i1.2961

Abstract:
Data is an inanimate object that is meaningless and useless for anything. This statement is a statement that is not based on existing facts and realities. In principle, data is an inanimate object whose collection can be very influential in all aspects of human life. Data can shock the world if processed and published. Because data is so influential, humans can speak freely which is unlikely to be debated. Data is able to influence the development and progress of a nation in all respects such as: economy, health, policy, security and so on. Therefore, data obtained by means of surveys and so on, must be treated carefully in order to be able to provide maximum contribution in decision making. The search for stable economic growth and environmentally sustainable quality is fast becoming a topical issue among governments, international agencies and other stakeholders interested in sustainable development. The highest accuracy value is shown by experiments using K-Vold Validation 8 and K-Vold Validation 10. While the tolerance given to K-Vold Validation 8 (0.49%) is smaller than K = Vold Validation 10 of (0.58%). This means that K-Vold Validation 8 is tighter than K-Vold Validation 10. So that the best used in decision making is K-Vold Validation 8 at 99.62% with a tolerance of 0.49%. The results of data processing using the Naive Bayes algorithm and the Support Vector Machine both illustrate that the economic influence on the level of welfare of the Suralaga Village community is very large and it can be concluded that the average Suralaga Village community is included in the category of not prosperous. This is indicated by the fact that there are still many people who depend on their livelihoods from working as laborers and foreign workers
Yahya Yahya, Universitas Hamzanwadi, Hariman Bahtiar
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 20-28; doi:10.29408/jit.v4i1.2981

Abstract:
Sustainable Development Goals (SDGs) is one of the world's programs to overcome several problems that are currently the world's issues. The world's issues that want to be addressed include: eliminating poverty, eliminating hunger, building good health and well-being, providing quality education, enforcing gender equality, improving clean water and sanitation, growing affordable and clean energy, creating decent work and growth. economy, improve industry, innovation and infrastructure, reduce inequality, mobilize sustainable cities and communities, influence responsible consumption and production, regulate climate action, promote life under water, advance life on land, ensure peace, justice and strong institutions , build partnerships to achieve goals. The target of seventeen components that will be completed in the world is planned to be achieved in 2030. All components that become world problems will be used as part of the target in this research. One of the research focuses is the economic component. The data obtained in Selong District, especially the economic component, will be managed and processed using the Naive Bayes algorithm. After processing the data using the Naive Bayes algorithm, the accuracy rate of closeness to the real situation is 93.45%. From the data obtained 93.45% or 0.9345 x the amount of data (kk) = 0.9345 x 1130 kk = 1056 families which shows the community is prosperous and 6.55% x 1130 = 74 families which states that people are not prosperous and can used as a reference in poverty alleviation through programs launched by the government.
Lalu Kerta Wijaya, Universitas Hamzanwadi, Rina Septiana, Alimuddin Alimuddin
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 96-104; doi:10.29408/jit.v4i1.3001

Abstract:
One of the celebrations that are considered sacred in Indonesian culture is marriage. Each couple will usually make preparations in various ways to face the wedding celebration, from the place of the wedding, clothes, even the type of food to be served must be prepared first. A wedding package is a service that provides personal special services that aim to help the prospective and future family of the bride and groom from planning to implementation. By looking at business opportunities in the field of wedding rental services, the Wedding Organizer Rental at Doni Organizer requires a rental information system using information-based technology-web, with the aim of expanding the area of promotion of wedding package sales and making it easier for customers to book their wedding plans. This Wedding Organizer rental information system uses the PHP and MySQL programming languages. This research implements a wedding package sales system that can be accessed anywhere and anytime without having to come to the rental place, and can simplify the payment transaction process to make it easier for customers.
Muhammad Saiful, Universitas Hamzanwadi, Samsuddin Samsuddin
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 29-38; doi:10.29408/jit.v4i1.2982

Abstract:
During the Covid-19 pandemic, SMA Negeri 3 Selong changed learning activities from what was originally face-to-face, but currently learning is being transferred to the Online Learning System (SPADA) using several existing platforms. Judging from the level of plurality of students' thinking patterns during the implementation of online learning there are many problems that arise, one of which is the instability of the internet network, the various hendpone media devices owned by students and the lack of student knowledge in using online platforms. The purpose of this study was to determine the indicator of the problem in the predicate of student learning completeness of class XII SMAN 3 Selong during the post-COVID-19 pandemic. The method used to solve this problem is the Naïve Bayes algorithm. Naive Bayes is a method of probabilistic reasoning. And in the future the results of this study are expected to be able to provide the right solution in solving problems in online learning.
Muhammad Wasil, Universitas Hamzanwadi, Mahpuz Mahpuz
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 11-19; doi:10.29408/jit.v4i1.2978

Abstract:
The level of poverty in Indonesia is currently an important task for the government, both in cities and in villages. As time goes by and the nation's economy is arguably unstable, the poverty level of the community cannot be controlled properly. Especially for rural areas or remote and remote villages, such as in the province of NTB, East Lombok Regency, especially in Suralaga Village. The people in Suralaga Village, who generally only have income from farming and raising livestock, are unable to meet their daily needs, which are increasingly soaring. Not only to meet economic needs, they may find it difficult to fulfill their educational needs. The results of farming or raising them, which has a grace period from planting to harvest, require a lot of money. Therefore, the income they have is not stable. This instability causes the economy of the community in the village to be classified as middle to lower class. To find out the extent of the influence of the poverty factor on the level of health, an analysis of the influence of the poverty factor on the health level and lifestyle of the people of Suralaga Village, East Lombok was carried out using the Support Vector Machine (SVM) algorithm. The experimental results shown, have concluded that data processing to determine the purpose of this study, using the Support Vector Machine algorithm, poverty to the health level of the Suralaga Village community is very large and provides an illustration that the average Suralaga Village community is included in the category of people who do not pay attention to the elements. health with an accuracy rate of 73.77%, when viewed based on the distribution of data used.
Suhartini Suhartini, Universitas Hamzanwadi, Ria Yuliani
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 39-50; doi:10.29408/jit.v4i1.2986

Abstract:
The occurrence of poverty in the community is caused by a condition of the economic inability of the head of the family to meet the primary / basic needs of his family, namely the need for clothing, food, shelter and education. The poor community itself can be found in almost every country, city and region, for example in one of the Bagik Endep hamlets of East Sukamulia Village. Based on these conditions, it is necessary to carry out clustering to assist the village government in grouping poor families, so that assistance can be distributed appropriately. By observing the above problems, Data Mining is needed to classify aid recipients using the K-Means method in clustering the poor. Where the K-Means Clustering Algorithm method aims to classify population data in the East Sukamulia region who are said to be classified as poor. The data used is data on the population of East Sukamulia in 2019, amounting to 200 data with 9 attributes, namely the name of the population, occupation, income / month, the number of children attending elementary school, the number of children attending junior high school, the number of children attending high school, the number of children attending college , the number of children who are not in school and the number of family members. Based on the results of tests carried out by applying the K-Means algorithm, the results obtained are Cluster 1 totaling 18 residents with the criteria of high economic population, Cluster 2 totaling 72 residents with moderate economic population criteria, and Cluster 3 totaling 110 residents with low economic population criteria. The K-Means method is expected to be able to assist the government of Sukamulia Timur Village in making decisions and finding the information needed to solve problems in recording the poor population accurately
Imam Fathurrahman, Universitas Hamzanwadi, Lalu Muhammad Samsu
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 70-78; doi:10.29408/jit.v4i1.2995

Abstract:
The purpose of this research is to facilitate consumers in finding partners who sell herbal products from CV. Rinjani Tirta which is in East Lombok.Where the company is engaged in herbal products and has more than 86 products. In fact, it is one of the companies that has obtained a BPOM permit in East Lombok and has been recommended by the BPOM to continue to participate in activities held by the BPOM and the government related to permits, seminars, and product exhibitions The use of a Geographic Information System (GIS) can help provide information on the data collection of partners working with companies. The author researched with several stages, namely information gathering, planning, development of initial product formats, initial product trials, field trials, product revisions, and final results. The location of the research is CV. Rinjani Tirta located in the village of Ajani Timur, Suralaga subdistrict. The results of this study are very helpful CV. Rinjani Tirta in promotion and gathering information about partners and areas that have been widely spread and make it easier for consumers to find herbal products. Besides, to streamline the work of employees and of course indirect promotions from partners
Aris Sudianto, Universitas Hamzanwadi, Muhamad Sadali
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 87-95; doi:10.29408/jit.v4i1.2999

Abstract:
Laying hens are one of the producers of animal protein through the production of eggs, eggs that contain many nutrients needed by the body. The need for chicken eggs in NTB in 2019 reaches 1.3 million eggs, but regional layer hen breeders are only able to produce as many as 6000 eggs so that to meet the need for eggs, the government needs to bring eggs from other regions. The government also encourages people to raise laying hens through the poultry village program, which is one of the industrialization programs in the livestock sector to make NTB egg independent. However, to start raising livestock there are several problems that become sellers, namely the problem of capital and land. People who have capital do not have the choice of where to invest their money in the end only save their money in a bank whereas on the other hand farmers who own land need capital to start a livestock business. Therefore, the authors provide a solution by creating a well-known application as a place to connect investors with prospective breeders through an Android-based application so that investors can easily find potential breeders and breeders find it easier to get capital to start raising laying hens
Diana Dwi Aulia, Universitas Darwan Ali, Warisa Warisa
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 105-112; doi:10.29408/jit.v4i1.3058

Abstract:
The increase in sales of meatballs from year to year, seen from a strategic location point of view, and the relatively cheap selling price of meatballs among the community, this meatball shop is a place to eat that is never empty of people visiting to eat. In the business world, actors or business owners are always looking for new opportunities in developing their business, therefore business owners will easily find customers. The more developing or increasing meatball stalls, with this the author aims to see the increase, sales, and customer demand in the meatball shop. And because of the large number of customers, it will definitely increase the material and production costs. In this study, data processing was made using the Mamdani fuzzy method or what is commonly called the Min-Max method. To get the largest production cost output in 2019 - 2020, it can be obtained from the calculation of production costs and the results of available products with several stages of the necessary methods, namely; a) Formation of fuzzy sets; b) Application function implication; c) Composition of rules; d) Defuzzification. The results of defuzzification, we can determine the increase in the production of meatball stalls
Baiq Andriska Candra Permana, Universitas Hamzanwadi, Intan Komala Dewi Patwari
Infotek : Jurnal Informatika dan Teknologi, Volume 4, pp 63-69; doi:10.29408/jit.v4i1.2994

Abstract:
Diabetes is a group of metabolic diseases which is indicated by the occurrence of hyperglycemia caused by abnormalities in insulin secretion in the body. Many deaths are caused by diabetes, if this disease is not treated immediately, diabetes can cause damage to other organs such as blindness, stores, heart problem and even kidney problem. A best method is needed in classifying diabetes in order to detect diabetes early. Research related to the classification of diabetes using several calcification methods has been done before. In this study, two classification methods were compared, namely decision tree and naïve Bayes. Measurement methods were carried out through cross validation. The results obtained from this study are the best algorithms among the two algorithms to determine diabetes sufferers
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