Satrianansyah
Universitas Bina Insan, Lubuklinggau

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Sistem Pakar Pendeteksi Penyakit Pada Tanaman Alpukat Menggunakan Metode Certainy Factor Berbasis Website Hidayat; Satrianansyah; Zulfauzi
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 4 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i4.620

Abstract

Avocado fruit or often called avocado in Latin originates from Central America, namely Mexico, Peru and Venezuela, and has spread to various countries as far as Southeast Asia, including Indonesia. There are three main types of avocado species, native to Mexico, the Caribbean and Guatemala. The three versions differ in shell composition, fruit size, fat content, taste, disease resistance and environmental adaptations. These different varieties are widespread in various regions in Indonesia. Lubuklinggau City is one of the avocado-producing areas in 2020. Lubuklinggau City produces 910 Avocado Kuitals. Farmers face several obstacles in increasing avocado production, mainly due to diseases that attack avocado plants. Farmers face various problems, namely the lack of knowledge about symptoms, causes, pests and diseases and how to control pests and diseases in avocado plants. And there is no system that can be used by avocado farmers to detect or diagnose diseases in avocado plants so that farmers can find solutions or treatments for existing diseases. To overcome the current problems, an application is needed to diagnose avocado plant diseases, one of which is by using an expert system. An expert system is a computer program that mimics the expertise of an expert. The method that is often used in expert systems is the certainty factor method. Certainty factor method, this method is a method to show the uncertainty of the expert's thinking, to correct it, certainty is usually used to describe the level of expert confidence in the problem at hand. The results of this study will help solve problems related to the diagnosis and treatment of avocado plant diseases.
Sistem Penjualan Online Untuk Meningkatkan Usaha Mikro Kecil Menengah (UMKM) berbasis E-Marketplace Riskha Yusepra; Lukman Hakim; Satrianansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 4 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i4.622

Abstract

Micro, small and medium enterprises (MSMEs) are companies established by individuals or companies that are not affiliated with a particular company and according to a predetermined category. UMKM itself is a form of corporation engaged in various business fields that affect the interests of society. With the development of global business and technology, it is no longer enough for companies to just rely on advertisements and brochures to promote their business. This requires many companies to change their existing business concepts and mechanisms to become more profitable. Many electronic marketplaces have sprung up, although the forms currently being taken by electronic marketplaces in Indonesia are mostly in the form of advertising. Where there is direct interaction between buyers and sellers, while the electronic marketplace provider only acts as a place of trade. To overcome the problems described above, the electronic market can be used as a solution to promote the products of cooperatives and micro, small and medium enterprises (MSMEs) in the city of Lubuklinggau. There is no online sales and ordering system for marketing products for micro, small and medium enterprises (MSMEs) in Lubuklinggau city, making it difficult for consumers outside the city to obtain information on product results for micro, small and medium enterprises Found large-scale companies (MSMEs) in the town of Lubuklinggau. E-Marketplace uses digital media in the form of the internet to create an environment or place where sellers and buyers carry out business processes, starting with product marketing, product delivery and developing communication between sellers and buyers so that both are satisfied.
Prototype Sistem Deteksi Serangan Pada Server Samsat Menggunakan Intrusion Detection System (IDS) Berbasis Snort Meli Pitriyanti; Nelly Khairani Daulay; Satrianansyah; M. Agus Syamsul Arifin
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 4 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i4.623

Abstract

Problems from study This is Not yet exists system security server samsat to attack syn-flooding, so that is required Asystem Which can detect attack syn-flooding. On Method study use method survey and observation Where information collected from respondents through interview direct with manager office and manager server samsat. Results study This show that system based Snort Which designed for detect attack syn-flooding so thatcan detect attack syn-flooding the. From here can concluded that system This can Work with Good as steps early protection server for detect attack his flood on server Samsat
Klasifikasi Data Penduduk Penerima Bantuan Pangan Non Tunai Menggunakan Algoritma Naïve Bayes Satrianansyah; Armanto; Susanto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1489

Abstract

Indonesia's population is increasing, and people are starting to move from one island to another. This is caused by people who certainly want to get a more decent life. Every citizen makes various efforts to fulfill their standard of living by working as farmers, entrepreneurs, private employees and other jobs. But sometimes the jobs that have been done are not also able to raise the standard of living and the economy of the population, so there are still many people who fall into the poor category. There are many government programs to help alleviate the economic level of the poor, one of which is Non-Cash Food Assistance (BPNT). However, there is an obstacle where there is a lack of socialization to the community regarding this matter because in some areas there is not a system that is sufficient to obtain precise and accurate information about the data collection of the poor. This also causes a lot of abuse of the right to get assistance from the government. Assistance that should be obtained by the poor but then does not fall into the right hands due to the many irresponsible people who take advantage of conditions like this. Research on data collection of poor people this time was conducted at the Tebing Tinggi City Social Service, where in this Social Service there is no application that can record poor people in the city accurately and accurately. In this research, the Naïve Bayes algorithm is used to determine which people are categorized as poor and deserve to receive assistance. The result of this research is a website system that can display the results of calculations of which people are eligible to receive and which are not eligible to receive assistance. The purpose of this research is to help the Tebing Tinggi City Social Service in terms of facilitating village assistance to classify potential recipients of non-cash assistance in the city of Tebing Tinggi. The results of the research obtained the results of the value of people who are eligible to receive assistance based on the data in the Inoutkan is 2.947808918805