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Penerapan Algoritma K-Means Untuk Pendataan Obat Berdasarkan Laporan Bulanan Pada Dinas Kesehatan Kabupaten Lombok Timur Suhartini, suhartini; wijaya, Lalu kerta; Pratiwi, Nur Arini
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Medicine is one of the most important components in terms of health both to prevent reducing or cure a disease or symptoms of the disease bydoing medication processing every month can be a source decision making to ensure the availability of more effective and efficient drugs. However, the implementation of medicine for the health services district in lombok east has been affected by the difficulties dealt with with drug data documentation that resulted in increased drug use, and the distribution of drugs was hampered not only. Therefore there needs to be a method that helps the system of drug-filing systems based on monthly reports. K-means is expected to be able to group monthly medications that can be used as a model for planning medical supplies the following year, and the information generated from them can be used as a recommendation in both community centers and hospitals to improve public health services. The criteria for the most drugs in the East Lombok District Health Office were 193 items. This is because the usage is seen the most from monthly usage. There are 2 slices of drug use there are 2 slices, namely the first drug with group number 4, the item is less use than group 1. Second, there are drugs with group 3 number, the item which has the least use of group 1 and group 2.DOI : 10.29408/jit.v3i2.2315

SISTEM INFORMASI BERBASIS WEB SMA AL- MUKHTARIYAH MAMBEN LAUK BERBASIS PHP DAN MYSQL DENGAN FRAMEWORK CODEIGNITER Suhartini, suhartini; Sadali, Muhamad; Putra, Yupi Kuspandi
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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These days, the development of science and technology is increasingly rapid, especially information technology and telecommunications that provide an important role in human life, especially in the world of education. One of them is a website technology that has been widely used to help facilitate the delivery of information in schools. And one of the high schools in the village of Mamben Lauk, Wanasaba Subdistrict, which is called Al-Mukhtariyah High School, did not have a website. Based on this occasion the present researcher took the initiative to create a website for the school. This is the time for all schools in this day to have a website and use it as facility to deliver of information to students or the wider community. To build a website the researcher used the PHP programming language and MySQL database with the Code Igniter framework.DOI : 10.29408/jit.v3i1.1793

KOMPARASI ALGORITMA C4.5 DAN C4.5 BERBASIS PSO UNTUK PREDIKSI JUMLAH PENGGUNAAN BBM PERBULAN PADA KANTOR DINAS LINGKUNGAN HIDUP DAN KEBERSIHAN KABUPATEN LOMBOK TIMUR Putra, Yupi Kuspandi; Ahmadi, Hamzan; Suhartini, Suhartini
Infotek : Jurnal Informatika dan Teknologi Vol 2, No 1 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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East Lombok Regency is one of the second level regions in West Nusa Tenggara Province which is located on the east side of Lombok Island. The capital city of East Lombok Regency is the city of Selong, where all government agencies are based in this city. One of them is the Department of Environment and Hygiene of East Lombok Regency. In carrying out operational duties at the Office of Environment and Hygiene the operational vehicle requires that the fuel oil is a subsidy from the government. Therefore, the use of BBM every day must be recorded properly so that it can be predicted the amount of fuel usage every month. However, the Office of the Environment and Hygiene Office has difficulty in processing such data in large quantities. Predicted information on fuel use is needed by the head of the agency to assist in making decisions or policies. Of these problems the right data mining technique to use is classification. One method of classification of data mining is the decition tree algorithm (C4.5) or called the decision tree. The decition tree (C4.5) algorithm has weaknesses in reading large amounts of data, so researchers use weighting by applying Particle Swarm Optimization (PSO) for attribute selection to increase the accuracy of C4.5.Thus the researcher will utilize data mining software in applying a comparison of the decition tree (C4.5) and C4.5 algorithms based on Particle Swarm Optimization (PSO) to get the best accuracy value in predicting the amount of monthly use of fuel oil at the Service Office Environment and Cleanliness of East Lombok Regency.DOI : 10.29408/jit.v2i1.1173

Sistem Pakar Berbasis Web Untuk Diagnosa Hama Dan Penyakit Jamur Tiram Pada Kelompok Tani Desa Dasan Borok Kabupaten Lombok Timur nurhidayati, nur ida; Sudianto, Aris; Suhartini, Suhartini
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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The application and use of technology today has been seen in almost every field of human life. This technology is here to help and facilitate humans in completing work and overcoming a variety of complex problems even for example in terms of analyzing as happened to the farmers and groups of oyster mushroom entrepreneurs in Dasan Borok Village, Suralaga District, East Lombok. The frequent occurrence of crop failure is a problem that currently occurs every time the harvest comes, this occurrence causes losses to farmers and must be dealt with quickly and appropriately. Web-based expert system is the right solution to overcome these problems, where this system can become an information center and be used as a tool in making decisions for farmers and entrepreneurs of oyster mushrooms to be able to determine the cause of damage and detect the types of diseases and pests that attack oyster mushrooms. With the implementation of this system it is expected to be able to overcome or reduce the problems of farmers to improve better and maximum yields.DOI : 10.29408/jit.v3i2.2316

Penerapan Data Mining untuk Mengcluster Data Penduduk Miskin Menggunakan Algoritma K-Means di Dusun Bagik Endep Sukamulia Timur Suhartini, suhartini; Yuliani, Ria
Infotek : Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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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.

Klasifikasi Algoritma K-Nearest Neighbor Berbasis Particle Swarm optimization Untuk Kelaykan Bantuan Rehabilitasi rumah Tidak Layak Huni Pada Desa Lenek Duren Kecamatan Aikmel Kabupaten Lombok timur Suhartini, suhartini; bahtiar, hariman
Infotek : Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Home is a very basic requirement for all people besides food and clothes. Home can express prosperity level and health level about resident / its dweller. A high quality of home as good shelter can be seen from its building, facility and structure. The local government program to decrease poverty through program of RTLH, have to be supported with data accuration. Besides good data accuration, it is also required data-processing time efficiency of receiver of aid. This research used Data technique of Mining with Algorithm of K-Nearest Neighbor base on Particle Swarm Optimization in classification elegibility of acceptance of aid rehabilitate house improper dwell. By using method of calculation of algorithm of K-Nearest Neighbor base on Particle Swarm Optimization, the accuration value in prediction elegibility of acceptance of aid rehabilitate house improper dwell is calculated. After conducting a test by using algorithm of K-NN and algorithm of K-NN base on Particle Swarm Optimization,Â the result is algorithm of K-NN yield accuration value equal to 89,29% and value of AUC 0,786. The algorithm of K-NN base on Particle Swarm Optimization yield accuration value equal to 95,33% and value of AUC 0.970. After conducting the tests to both of the model, the difference is showed with 6,04% percentage and difference of value of AUC 0.184.Â DOI : 10.29408/jit.v2i2.1417

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