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Jurnal Sistem Informasi dan Ilmu Komputer
Published by Universitas Katolik Widya Karya Malang
ISSN : 29865158     EISSN : 29864976     DOI : 10.59581
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Sistem Pendukung Keputusan (DSS), Sistem Informasi Geografi (GIS), Perusahaan Skala Sistem Informasi (ERP, EAI, CRM, SCM), E-Commerce, E-Government, Sistem Informasi dari Rumah Sakit, Sistem Informasi Perbankan, Sistem Informasi Industri, Pengambilan Informasi, Keamanan Sistem Informasi, Sistem Informasi Berbasis Web, Sistem Berbasis Pengetahuan, Komputasi Bergerak, Penambangan Data, Basis Data, Gudang Data, Gudang Data, Mutimedia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 136 Documents
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Optimalisasi Keuntungan Roti Panggang Menggunakan Pemrograman Linear Metode Simpleks Pradita Eko Prasetyo Utomo; Ulfa Khaira; Cepi Ramdan; Ghaitsa Althafah Wandira
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

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.
Optimasi Keuntungan Maksimum Dari Penjualan Seblak Dengan Menggunakan Metode Simpleks, Software POM-QM Dan Implementasi Rstudio Tasia Maidi Saputri; Imelda Raudati; Pradita Eko Prasetyo Utomo; Ulfa Khaira
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1657

Abstract

This article aims to optimize the profit of seblak business through the application of Simplex method in linear program. Seblak is a popular business today with a wide variety of toppings such as meatballs, sausages, noodles, feet and many more, but efficient production planning and resource allocation can be challenging. In calculating this profit optimization, we use the Simplex method to identify production combinations that can generate maximum profit by considering various constraints related to raw materials, processing time, production costs to product selling prices. The result is expected to help seblak business owners in making smarter decisions regarding production, inventory, and pricing strategies, thus improving their business profitability.
Analisis Sentimen Pengguna Twitter Terhadap Kinerja Walikota Medan Menggunakan Metode Naive Bayes Classifier Fajar Muharram; Kana Saputra S
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.17

Abstract

Technological developments today make it easy for people to use social media as a means of expressing opinions, including Twitter. The case study taken by the researcher is the sentiment towards the performance of the mayor of Medan. The case was taken because it was widely discussed by Indonesian people, especially the city of Medan on Twitter social media. One of the uses of this research is to find out the trend of Twitter user comments on the performance of the mayor of Medan by conducting a sentiment analysis. Sentiment will be classified as positive, negative and neutral. The algorithm used in sentiment analysis is Naïve Bayes. The stages in conducting sentiment analysis in this study are data preprocessing, data processing, classification, and evaluation. The results of this study are using the SMOTE method, the training and testing ratio is 80:20 because it has the highest accuracy, which is 78% compared to other ratios. The prediction results resulting from the classification turned out to be more dominant towards neutral labels. In addition to classifying for sentiment analysis, this study also measures the performance of the model created. The results showed that the Naïve Bayes algorithm has a precision value of 78%, a recall of 78%, and an f1-score of 77%.
Pengaruh Keterlibatan Pengguna, Kemampuan Teknik Personal Dan Dukungan Top Manajemen Terhadap Kinerja Sistem Informasi Akuntansi Yulia Wijayanti; Cris Kuntadi; Rachmat Pramukty
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 1 (2023): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i1.24

Abstract

In research or scientific articles, previous or relevant research is very important because it helps strengthen theories and phenomena of the relationship or influence between variables. In the literature research on accounting information systems, this article analyzes user involvement, personal technical skills, and top management support. These factors affect the accounting information system. Building a hypothesis of influence between variables is the aim of this paper. The results of this literature research are as follows: 1) User Involvement influences the Accounting Information System; 2) Personal Technical Ability influences the Accounting Information System; and 3) Top Management Support.
Sistem Pendukung Keputusan Rekrutmen Karyawan Baru Menggunakan Metode Profile Matching Berbasis Web Henni Ismawati Ritonga
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.147

Abstract

Recruitment is the main task of the human resources department to find qualified candidates for open positions in a company or organization. The problem that is often faced by companies during recruitment is the difficulty in determining applicants who meet the criteria. A decision support system is defined as a system that helps a manager's work to overcome problems by providing data for selected decisions. The decision support system has a decision support method that is the profile matching method.The results of research that has carried out the profile matching method for recruiting new employees are carried out by comparing the input value with the company's target value so that the difference in GAP can be known. Then weighting is carried out on each aspect of the existing criteria after the GAP value is known. To determine the total value, the core factor and secondary factor are grouped based on the weighting results. With the results of the total value then ranking is carried out to obtain the final result.
Game Tebak Gambar Sebagai Media Pembelajaran Untuk Anak Usia Dini Andhika Mega Pradana; Ade Mubarok
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.226

Abstract

Many games are starting to appear that are less educational and less suitable to be played which have a bad impact on children, as well as the lack of parental supervision of children in excessive use of gadgets. the need for a media that can unite two elements, namely game play and learning, therefore an educational game application is made that uses construct 2 and coreldraw which serves as the interface design processor, objects, buttons, and players. This educational game raises the theme of introducing the names of animals in the form of pictures, which will later become an alternative learning that provides a more useful education, has a positive impact on children, and can reduce children playing games that are not suitable for their age. With this application, it provides broad insight to children about recognizing animal names and understanding them, and can fill children's free time which is usually spent just playing less useful games by playing and learning with this educational game application.
Pembelajaran Bahasa Inggris Dasar Tema Makanan Bergizi Menggunakan Augmented Reality Berbasis Android Hadi Prayoga Pribadi Putra; Wildan Wiguna
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.244

Abstract

Knowledge is one of the human links to perfection. The human tendency to crave makes him always move forward to become better from time to time. One of the enthusiastic actions of humans is illustrated by the development of technology and information that makes work easier. Learning at SDN Durman 049 is still conventional learning that is less interesting or less effective when in the current state of online learning. Ar food application was created to facilitate and be an alternative in learning at SDN Durman 049 especially for grade IV. AR food is an androd based Augmented ReaIity technology app that contains food in English. Android operating system devices are the most widely used devices today. AR food is proven to help learn English for grade IV in online conditions like this, in addition to adding alternatives in learning AR food increases the effectiveness of online learning. AR food displays 3D English food by scanning the marker using the camera and a 3D object of English food will appear above the marker.
Perencanaan Jaringan Akses Optik Ftth Menggunakan Teknologi Gpon (Gigabit Passive Optical Network) Prasta Mahrifatika; Iqbal Maulana; Khaila Mardina Fauziah; Didik Aribowo
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.333

Abstract

The development of information and communication technology is increasing rapidly from year to year, especially in the field of telecommunications. Communication technology via fiber optic is one of the technologies that is widely used as a data sender, between senders and receivers in one network, users can communicate with each other at very high speeds. This is in line with the community's need for fast communication services. FTTH (Fiber To The Home) is a telecommunications service infrastructure that supports transmission on large bandwidths and can solve bandwidth access problems so that PT. Telkom designs fiber to the home network access using GPON technology by determining its usage.
Peran Sistem Aplikasi ERP Terhadap Manajemen Inventory Di PT XBC Farah Mas’udatul Rahmadani; Rifqi Muhammad
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.371

Abstract

This research aims to determine the role of ERP implementation in inventory management at PT XBC's Warehouse division. This research uses a qualitative descriptive method by carrying out field study projects in the form of interviews and observations as well as case studies with the problems faced by the author. Observation was carried out in conjunction with the MSIB Batch 3 internship program which was held from 22 August to 30 December 2022 organized by Ministry of Education and Culture. Based on the results of the analysis and observation, it can be seen that there is still a need for further improvisation on the company's information system, especially in managing inventory in the Warehouse division. A good warehousing system greatly affects the relevance of stock balances from financial statements. Implementation of SOP, workflow in the division can produce effective, efficient processes without compromising the essence of information systems.
Analisa Komparasi Algoritma Naïve Bayes, Decision Tree Dan KKN Untuk Klasifikasi Kebakaran Hutan Pada Wilayah Aljazair Muhammad Fadhiil Alamsyah; Tri Putra Satriawan; Femmy Novica Ramadanis; Rahma Anugrah Mulyawan; Candra Edmond; Ricky Firmansyah
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i2.425

Abstract

The Mediterranean region, in particular Algeria, is experiencing serious challenges due to the increased opportunities for forest fires. Since the mid-1970s, there has been a 50% reduction in rainfall over northwestern Algeria, making northern Algeria particularly vulnerable to the problem for many years. More than 37,000 hectares of sensitive forest are lost every year due to this extreme drought. The findings of this study, which assessed the hazard of forest fires from 2006 to 2019, agree with those of Bentchakal,Chibane (2022), who examined the problems caused by forest fires in the region. The aim of this investigation is to gain a better understanding of the problems caused by local forest fires and to use that expertise to provide insight for the authors and readers of this report. The report was written by presenting the findings of observations made using the Rapid Miner classification approach, which includes the categorization of areas affected by forest fires. Data is collected using a variety of algorithmic techniques, including Naive Bayes, KNN, and decision trees, which are used as tests of data to identify the most accurate results. The findings show that the Decision Tree technique has the best accuracy of 86.49% and provides a thorough explanation of the data.

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