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All Journal Jurnal Manajemen dan Bisnis Sriwijaya EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Sistem Komputer dan Informatika (JSON) Journal of Management and Bussines (JOMB) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Media Ekonomi (JURMEK)
Wisdalia Maya Sari
Program Studi Manajemen, Universitas Bina Insan Lubuklinggau
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Social Sciences Other

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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

 1 
Sistem Prediksi Pertumbuhan Ekonomi Kabupaten Musi Rawas, Kabupaten Musi Rawas Utara Dan Kota Lubuklinggau Dengan Metode Regresi Linier Andri Anto Tri S; Armanto Armanto; Harma Oktafia Lingga Wijaya; Wisdalia Maya Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4198

Abstract

The economic condition of a region in each period can increase or decrease by looking at changes in goods and services. An increase in economic activity is a process of changing economic conditions that occur in an area on an ongoing basis to get to a better state for a certain period of time. Economic growth is a benchmark in achieving the development of economic conditions in a region so that it has an impact on increasing people's welfare. South Sumatra's economic growth in the first quarter of 2021 improved compared to the previous quarter. Similar to economic growth in South Sumatra Province, the districts and cities in it (Musi Rawas Regency, North Musi Rawas and Lubuklinggau City) also experienced ups and downs of economic growth. With the current ups and downs of economic growth, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need accurate information about the picture of economic growth in the future, this is intended to be able to prepare various policies or actions so that the level of the economy in Musi Rawas Regency, Musi North Rawas and Lubuklinggau City can be increased. Based on this problem, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need a prediction system in order to see a picture of economic growth in the future. The purpose of this study is to design a prediction system that can predict the rate of economic growth in Musi Rawas Regency, North Musi Rawas and Lubuklinggau City. The method used in the prediction system is a simple linear regression method, the use of a simple linear regression method in this study due to the limited time of the study and used to determine the direction of the relationship between the independent variable and the dependent variable, whether it has a positive or negative relationship and to predict the value of the dependent variable if the value of the independent variable increases or decreases.
Prediksi Pola Penjualan Barang pada UMKM XYZ dengan Metode Algoritma Apriori Harma Oktafia Lingga Wijaya; Andri Anto Tri. S; A Armanto; Wisdalia Maya Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4200

Abstract

Through the development of information technology today, the need for clear and accurate information is needed in everyday life, so that information will become an important thing in society. Sometimes high information needs are not accompanied by the presentation of adequate information, often information through the mining process is expected to provide information that was previously hidden in the data warehouse so that it becomes important and valuable information [1]. Utilization of existing data in the information system to support decision-making activities, it is not enough to just rely on operational data, a data analysis is needed to explore the potential of existing information. Decision makers try to take advantage of existing data warehouses to explore useful information to help make decisions, this encourages the emergence of new branches of science to overcome the problem of extracting important or interesting information or patterns from large amounts of data, which is called data mining. 2]. MSME XYZ is one of the leading MSMEs in Lubuklinggau City where this MSME sells various kinds of durian products such as tempoyak, lempok durian, peeled durian, durian pancakes, durian ice cream, durian coffee, durian seed chips etc. Every day MSME XYZ carries out activities such as sales transactions, providing product stock and so on, from the existing sales data so far XYZ has not been able to provide information about the pattern of customer spending habits so that transaction data cannot help leaders in making decisions from data collected. there is. Association analysis or association rule mining is a data mining technique to find the rules of a combination of items. One of the stages of association analysis that has attracted the attention of many researchers to produce efficient algorithms is high frequency pattern analysis (frequent pattern mining). The output of data mining can be used to improve decision making in the future.
Pengukuran Tingkat Kelembapan Tanah Dan Suhu Berbasis Arduino Uno pada Kelompok Tani Karya Maju II (Dua) Armanto Armanto; Andri Anto Tri Susilo; Harma Oktavia Lingga Wijaya; Wisdalia Maya Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4197

Abstract

Electronic technology has recently developed rapidly, almost all aspects of daily human life have been covered by equipment with electronic technology systems, both using analog and digital control systems. Measurement is very important in science, especially in engineering. Measurement plays an important role in helping human work. As a country with vast natural resources, agriculture has enormous potential as state revenue. In addition, the agricultural sector is one of the most important sectors that increase the economic growth of the Indonesian people. One of the most important factors in agriculture is the quality of agricultural land. The better the agricultural land, the agricultural output will also increase. Factors that affect the quality of agricultural land are soil moisture and temperature. The life of biological elements contained in the soil including hosts, pathogens, and other microorganisms which vary greatly is influenced by soil moisture factors. condition of agricultural land in the area of Air Satan village. farmers in the air satan village have difficulty monitoring soil fertility in agricultural areas in the air satan village area, therefore the author wants to develop a tool that functions to measure the level of soil moisture with the measurement results displayed using a 16x2 LC which can be directly seen in order to make it easier for farmers or farmer groups in monitoring soil moisture and temperature in the agricultural area of Airsatan Village.
Co-Authors Ahmad Sobri Ali Amran Alif Aprillian Andri Anto Tri Susilo, Andri Anto Andrianto Tri Susilo Armanto Armanto Asep Toyib Hidayat Budi Santoso Bunga Intan Cindi Wulandari Elmayati Elmayati Elmayati Erik Astrada Fitria Fitria Hardi Mulyono Harma Oktavia Lingga Wijaya Indrawati Mara Kesuma Irma Idayati joni karman Lingga Wijaya, Harma Oktafia Maresta Dora Muhammad Effendi Prilia Dwi Hartina Rani Purnama Aprisusanti Rani Ryani Putri Riki Khairul Selviyani Supriyanto Tri Hasanah Bimastari Aviani Widiyanti Widiyanti Wita Hariani Yadi Yohanes Susanto Yuli Eprianti Yulpa Raberta