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Jurnal Sistem Informasi dan Ilmu Komputer
Published by International Forum of Researchers and Lecturers
ISSN : 29865158     EISSN : 29864976     DOI : 10.59581
Core Subject : Science,
Computer Science & IT
Jurnal Sistem Informasi dan Ilmu Komputer berfokus pada publikasi hasil penelitian, kajian konseptual, dan pengembangan keilmuan di bidang Sistem Informasi dan Ilmu Komputer. Jurnal ini bertujuan menjadi media diseminasi ilmiah bagi akademisi, peneliti, dan praktisi dalam pengembangan serta penerapan teknologi informasi yang inovatif dan berkelanjutan. Ruang Lingkup Ruang lingkup jurnal mencakup, namun tidak terbatas pada, topik-topik berikut: Bidang Sistem Informasi Analisis dan Perancangan Sistem Informasi Manajemen Sistem Informasi Sistem Informasi Manajemen Sistem Enterprise (ERP, SCM, CRM) Sistem Pendukung Keputusan Business Intelligence dan Data Warehouse Tata Kelola Teknologi Informasi Audit dan Keamanan Sistem Informasi E-Government dan E-Business Bidang Ilmu Komputer Rekayasa Perangkat Lunak Kecerdasan Buatan (Artificial Intelligence) Machine Learning dan Deep Learning Data Mining dan Big Data Jaringan Komputer dan Keamanan Jaringan Internet of Things (IoT) Pengolahan Citra dan Visi Komputer Sistem Terdistribusi dan Cloud Computing Human-Computer Interaction (HCI)
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 169 Documents
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Analisis Implementasi dan Peningkatan Proses Bisnis Pemesanan Toko Gift Shop ABC
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1064

Abstract

ABC Gift Shop provides ordering and purchasing of souvenirs for weddings, birthdays, graduations, and other events. So far, customers are served through online orders via Instagram and offline orders that come directly to the store location. This study aims to look at the implementation of ongoing business processes and see how far the results of the evaluation can identify opportunities for improvement and recommendations for improving ABC Shop's business processes. The research method uses descriptive qualitative through interviews with informants and observations of online and offline ordering services at ABC Stores. The results of the study show that there are deficiencies in the online ordering process, such as online ordering data that is entered manually and recapitulated so that the queue process and order completion take a long time and the queues can even be swapped. Opportunities for improvement and recommendations for improvement, in this case, are being able to improve existing business processes and providing an information system for ordering souvenirs that is more flexible than social media Instagram and according to the needs of Toko ABC..
Regresi Nonparametrik Spline Truncated
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1160

Abstract

Nonparametric regression is used to determine the relationship between the response variable and the predictor variable whose shape of the regression curve is not known. This study examines the factors that affect the number of tuberculosis cases in Central Java in 2021. The number of berculosis cases in Central Java reached 117 cases per 115,000 residents with a mean of 110,35 and a variance of 1360.74. Tuberculosis case rates and their affecting factors are modeled using a spline truncated nonparametric regression method. The relationship between tuberculosis case rates in Central Java and the factors that are thought to affect it does not form a specific plot. . Based on the research results, the best model of the minimum Mean Square Error (MSE) value is obtained at the knot point combination (1, 3, 2, 3, 3), with a MSE value of 0.57. The model, it is known that all factors have a significant effect on tuberculosis cases in Central Java, with a coefficient of determination of 93.41%. That is, the model can explain the diversity of tuberculosis cases in Central Java by 93.41%.
Peramalan Harga Tomat Menggunakan Metode High Order Fuzzy Times Series Multifactors
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1217

Abstract

The daily needs of the people of Central Aceh cannot be separated from agricultural commodities such as tomatoes, shallots, garlic, and others. Some of these agricultural commodities have sharp price fluctuations, such as tomatoes. When the supply of tomatoes in the market is reduced, the price can be much higher than the normal price. Conversely, when the supply of tomatoes is excessive, the price will fall far below the normal price. This is influenced by various factors such as the harvest season, the amount of production, the amount of public consumption and others. Based on these problems, we need a method to be able to estimate the price of tomatoes so that it can be used to support decision making related to price issues. Forecasting is one of the solutions to be able to estimate the movement of tomato commodity prices. The method used for forecasting tomato prices is High Order Fuzzy Times Series Multifactors. In this method, subinterval formation is carried out using Fuzzy C–means. To calculate the error rate of forecasting results in this study using the Mean Square Error (MSE). Based on the results of the tests carried out, the large values ​​of the training and order data used in forecasting do not guarantee a low error rate.
Studi Literatur Sistem Penilaian Esai Otomatis Pada E-Learning Dengan Algoritma Winnowing
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1227

Abstract

Such quick change in information technology and computers have required changes in the educational paradigm, particularly in teaching and learning methods. Computer applications are software services that use computers as the medium. Programming language is the language used in computing to create programs. An algorithm, a systematic sequence of steps, is used to solve a problem, and an example of one of these is the Winnowing algorithm. The Winnowing algorithm is a document fingerprinting method that utilizes hashing to detect text similarities. In an essay exam, an instructor must carry out a manual assessment by checking and correcting each participant's answers. Currently, automatic assessment is still generally limited to multiple choice questions. The purpose of this study is to investigate the extent to which previous studies have examined the assessment of essay questions using the Winnowing algorithm. The results of the study indicate that the application of the Winnowing algorithm in automatic evaluation of essay responses on online learning platforms (e-learning) provides good and stable results, and has a high degree of accuracy.
Implementasi Data Mining Dengan Naïve Bayes Untuk Prediksi Penerima Dana BOS Di Sekolah X
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1230

Abstract

Schools will receive assistance from recipients of boss funds at school X implementing a program from the government to provide BOS assistance to underprivileged school children in School X. The Bos Assistance Program is a government assistance program in the form of providing cash to underprivileged school children or families capable. Implementation of the program aims to improve the welfare of the less fortunate. Currently, the distribution of Bos Fund Assistance is considered to be still not on target and does not meet the criteria that are used as benchmarks for the people who will receive the assistance. The Naïve Bayes method is used in this case study to classify which children can and cannot afford school fees so that it can more easily select school children or families who are truly eligible to receive the Bos Fund Assistance. This study uses 20 data and 5 criteria including: name, age, gender, status, income, and beneficiary status. After conducting research with a total of 20 data and using the Naïve Bayes method, the results obtained were as many as 45% of underprivileged children and families who were eligible to receive Boss Fund Assistance and as many as 55% of children and families who were not eligible to receive Assistance Boss Fund..
Sistem Informasi Penilaian Mandiri Untuk Tata Kelola Teknologi Informasi Pada PT Petrokimia Gresik
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1319

Abstract

The assessment of information technology governance is a crucial aspect of managing IT resources to align the implementation of information technology with business operations and corporate objectives. At PT Petrokimia Gresik, IT governance assessment is still carried out using conventional methods. Therefore, this research aims to design and develop a Self-Assessment Information Technology Governance System at PT Petrokimia Gresik. This research begins with user interviews and a literature review from various sources such as journals, reference documents, and COBIT 2019 books. The system development is conducted using the SCRUM method to produce a system that meets user requirements. In the SCRUM method, there are four main activities: sprint planning, daily scrum, sprint review, and sprint retrospective. This information system was successfully developed using the Laravel framework, which proved to streamline web application development. The implication of this research is the creation of a Self-Assessment Information Technology Governance System. Based on the results of user acceptance testing, the system produced has been well-received and meets user needs.
Implementasi Sistem Pendukung Keputusan Dengan Metode Weighted Product Untuk Pemilihan Peptisida Terbaik Di UD Rizky Tani
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1530

Abstract

The development of a sophisticated era means that we cannot be separated from electronics and the sophistication of the times and their electronics. UD.Rizky Tani is a kiosk selling fertilizer, herbicides, pesticides and others. This kiosk was founded by Mrs. Ros Mintana Nasution, located in Sayur Mahincat Village, Padang Lawas Regency, North Sumatra. This lady is the wife of Mr. Jimmi Bugis Lubis as the owner of UD Anugrah Jaya Tani so the two of them set up two kiosks. At this kiosk, it is necessary to know what the best pesticides are to make it easier for the kiosk and the people who need it, and so that people can be sure that the best pesticides have been created. A decision support system has been created to make it easier to determine the best pesticides. The method used is the Weighted Product (WP) method, which is a popular multi-criteria analysis decision and is a multi-criteria decision making method. Like all FMADM methods, WP is a finite set of decision alternatives described in terms of some decision criteria.
Implementasi Data Mining Untuk Mengelompokkan Data Penjualan Berdasarkan Pembelian Pada UD. Martua Dengan Menggunakan Algoritma K-Means
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1531

Abstract

Currently we cannot escape the influence of information technology. Because like it or not, the development of science and the application of technology is experiencing an increasingly rapid increase, especially in every work environment such as business practitioners.Computer/information technology is the technology that is most widely used in various agencies, both government and private. The rapid development of technology over time means that human work can generally be completed quickly. Technology is a tool that is often used in human activities. The role of technology today makes information processing easier because processing is necessary so that the resulting information can be useful for its users. Competition in the business world requires developers to find a pattern that can increase sales and marketing of goods, one of which is by utilizing transaction data. The availability of abundant data, the need for information to support decision making to create business solutions, and infrastructure support in the field of information technology are the reasons for the birth of data mining technology. Problems that occur at UD. Martua is lacking in reviewing the products being sold, what products consumers need and less effective data storage. With data mining, it is intended to provide real solutions to UD. Martua can find out which items are selling well and which items are not selling well, then can compare sales from year to year to become an effective medium for developing sales at UD.Martua. In grouping sales data, the fields used are item name, quantity purchased, quantity sold for 1 week, then the data will be processed with the k-means clustering algorithm. The final result with 20 grouping data samples was the final result with 2 clusters, namely, cluster 1 (C1) with 10 best-selling items, cluster 2 (C2) with 10 non-selling items. With data mining using the K-Means algorithm, losses for UD.Martua..speeding up decision making to restock goods that are selling well so that consumers who want to buy don't have to wait long. Providing information from sales data to find out what causes profits or losses at UD.Martua. Providing convenience for UD.Martua in determining which products are selling and which are not selling so that there is no accumulation of goods that are not selling and resulting in losses for UD.Martua.
Perancangan Sistem Informasi Pengelolaan Surat Perjalanan Dinas pada Komisi Pemilihan Umum Kab. Kuantan Singingi dengan Bahaasa Pemrograman PHP dan Database MYSQL
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1551

Abstract

The Kuantan Singingi Regency General Election Commission Office is a government agency that organizes general elections in Indonesia, including members of the DPR/DPD/DPRD, General Elections for President and Vice President as well as General Elections for Regional Heads and Deputy Regional Heads. Design of an information system for managing official travel documents specifically for the Finance Department where the system currently used is still manual. During designing the information system, the methodology used was the first stage, namely Analysis and the second stage, namely Reporting. The aim of this Practical Work Report is expected to be able to help the Kuantan Singingi Regency KPU in improving the existing system, so that the management of official travel documents that have been done manually can be facilitated by the system Application.
Optimalisasi Keuntungan Roti Panggang Menggunakan Pemrograman Linear Metode Simpleks
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1656

Abstract

Toast is a common and popular food all over the world. Toast is generally made from slices of bread that are toasted until golden brown on the outside and soft on the inside. The basic bread used varies, from white bread to whole wheat bread, and can be cut in various shapes. The toasting process is a key stage in making toast, where the pieces of bread are toasted until they reach the desired doneness. Fillings are an important element in toast, with various options such as butter, jam, cheese, chocolate and nuts. Bread ingredients such as bread, butter, canned milk, etc. are a problem. If one of these ingredients is not met then production in the bakery business will be hampered. Therefore, to find out what variables hinder optimal value in the bakery business, mathematical modeling can be created using the simplex linear method program.

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