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All Journal Sinergi Jurnal Komputer Terapan Jurnal TAM (Technology Acceptance Model) Jusikom : Jurnal Sistem Komputer Musirawas JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSIM (Jurnal Sistem Informasi Musirawas) Technologia: Jurnal Ilmiah Jurnal Sistem Komputer dan Informatika (JSON) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Nasional Ilmu Komputer RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Pengembangan Sistem Informasi dan Informatika KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) BISMA Cendekia International Journal Cister Prosiding Seminar Riset Mahasiswa Jurnal Teknologi Informasi Mura PEDAMAS (Pengabdian Kepada Masyarakat) Adpebi Science Series Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal TAM (Technology Acceptance Model)
Lingga Wijaya, Harma Oktafia
Universitas Bina Insan, Lubuk Linggau, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice 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.
Co-Authors A.A. Ketut Agung Cahyawan W Adi Saputra Aditya Nugroho Aktavera, Beni Alamsyah, M.Nur Ali Amran Andri Anto Tri Susilo Andri Anto Tri Susilo, Andri Anto Anita Sari Antoni Zulius Aprisusanti, Rani Purnama Armanto Armanto armanto armanto Armanto Armanto Armanto, Armanto Asep Toyib Hidayat Audya, Rosa Basmansyah, Attaya Rifki Beni Mandala Putra Biankha Ariesty Bunga Intan Chandra Yuliansyah Cindi Wulandari Daulay, Nelly Khairani Davit Irawan Dendi Hartansyah Devi Purwanti, Devi Diah Fitria Handayani Dwi Budi Santoso E Elmayati E Elmayati Elmayati Elmayati Elmayati Elmayati Elmayati Elmayati, Elmayati Fienda Altamevia Haiza Marlina Intan, Bunga Jeki Saputra joni karman Khoirina Khoirina Mediriansyah Mediriansyah Mohamad, Fatma Susilawati Muazim Rahman Fauzan Nopalia Nopalia Nurdiansyah, Deni Putri Permata Sari Rani Purnama Aprisusanti Rudi Kurniawan Rusdiyanto Rusdiyanto Rusdiyanto Rusdiyanto Samsuryadi Samsuryadi Satrianansyah Satrianansyah Satrianansyah, Satrianansyah Sekar Ayu Fitria Selviyani Soleha, Romi Aprillia Sujayanti, Elies Fifit Susanto Susanto Susanto Susanto Susanto Syamsul Arifin, M. Agus Taufik Rahman Tri Hasanah Bimastari Aviani Wisdalia Maya Sari Wisdalia Maya Sari Wulandari, Cindi Yunita Yunita Yunita Yunita Zulhipni Reno Saputra Els