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INDONESIA
Jurnal Informatika Ekonomi Bisnis
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 27148491     EISSN : 27148491     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
Economics, Econometrics & Finance
The Jurnal Informatika Ekonomi Bisnis (INFEB) is an interdisciplinary journal. It publishes scientific papers describing original research work or novel product/process development. The objectives are to promote an exchange of information and knowledge in research work, and new inventions/developments on the use of Informatics in Economics and Business. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping a track of original research and development work being carried out in the broad area of informatics in economics and business through a scholarly publication.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 591 Documents
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Klasterisasi Menggunakan Metode Algoritma K-Means dalam Meningkatkan Penjualan Tupperware Mulyadi, Iriene Putri
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.05 KB) | DOI: 10.37034/infeb.v4i4.164

Abstract

Persaingan dalam dunia bisnis sangatlah ketat,pelaku dunia bisnis memiliki tantangan untuk mengatur strategi penjualan.Toko Asrafi Raya merupakan suatu toko yang bergerak di bidang penjualan tuppeware yang berada di daerah Kabupaten Pasaman Barat. Banyaknya data produk tuppeware dan stok barang yang harus dianalisis, maka pemilik toko harus bekerja keras dalam menentukan barang yang akan dibeli berikutnya dilihat dari stok yang ada.Sehingga kesulitan yang dialamipemilik Toko Asrafi Raya adalah kurangnya stok produk yang laku karena penjualan tinggi, dan menumpuknya produk yang tidak laku karena penjualannya rendah. Penelitian ini bertujuan agar memudahkan Toko Asrafi Raya dalam meningkatkan penjualan tuppeware dengan mengelompokkan produk yang sangat laris, laris dan tidak laris. Data yang digunakan dalam penelitian ini adalah data laporan penjualan terhadap produk tuppeware pada bulan februari sampai juni 2021 yang ada di Toko Asrafi Raya, dengan menggunakan metode algoritma K-Means clustering. Hasil dari penelitian ini mendapatkan 3 cluster yaitu cluster 1(C1)Sangat Laris,Cluster 2 (C2) Laris,Cluster 3 (C3) Tidak Laris. Hasil Penelitian ini digunakan untuk membantu pemilik toko Asrafi Raya dalam menentukan strategi penjualan pada Toko Asrafi Jaya.
Simulasi Sistem Pelayanan Rawat Jalan Pasien menggunakan Simulasi Kejadian Diskrit (Des) Zubir, Della Zilfitri; Andini, Felka; Ridho, Muhammad; Filki, Yosep
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (515.441 KB) | DOI: 10.37034/infeb.v4i4.165

Abstract

The hospital is one of the health service centers that play an important role in society. Health Centers must provide the best service for their patients. In practice, good or excellent service is not easy to realize because of various factors that exist in the field which are probalistic in nature. To maintain service quality, it is necessary to carry out evaluation, analysis, and improvement activities on the existing system. Evaluation, analysis, and improvement activities on the system can be carried out using system simulations with the aim of producing better services. This research was conducted in an outpatient service system using discrete event simulation with the help of promodel software. The purpose of this study is to apply a discrete event simulation model in outpatient services so that there is an improvement in outpatient services and the efficiency of existing human resources. The simulation results show that the simulation model used is valid and can be used to evaluate the outpatient service system.
Algoritma K-Means Clustering dalam Memprediksi Penerima Bantuan Langsung Tunai (BLT) Dana Desa Filki, Yosep
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.142 KB) | DOI: 10.37034/infeb.v4i4.166

Abstract

Taluk Village, Lintau Buo Subdistrict, Tanah Datar Regency is one of the villages that carries out the distribution of the Village Fund Direct Cash Assistance (BLT-DD) program. This direct cash assistance is one of the government programs whose funds are sourced from village funds whose distribution is to the underprivileged or poor in order to overcome economic recovery for people affected by the pandemic. However, in the evaluation of its implementation in 2021 and 2022, many problems were found in its distribution, especially in determining this assistance to the recipient community. The problems that arise are caused by the occurrence in data processing that uses a direct determination system or mechanism in deliberation by the village government to determine the priority community as recipients of the many who propose as applicants to the nagari government to get this assistance. Besides that, there are also problems such as errors in recipient criteria and often this program is not targeted at the recipients. The K-Means Clustering method is very precise in implementing this BLT-DD beneficiary predictor, because this method is one of the methods used in data grouping as a reference in decision makers for clustering large amounts of data, and in the end it will cluster recipients based on 3 clusters, namely worthy, considered and unworthy. The purpose of this study was to predict the right target recipients of BLT-DD. The data processed is the data proposed by the recipients of the BLT-DD Taluk Village in 2022. Based on the results of data processing using PHP MYSQL Software, from a sample of 25 data, 11 data are produced which are included in cluster 1 with the status of the beneficiary being said to be feasible, 5 data that are classified as eligible. including cluster 2 with considered recipient status and as many as 9 data belonging to cluster 3 with unfit status. From the test results obtained an accuracy rate of 83.33 % so that it can be recommended to assist the government of the village guardian in making policies.
Akurasi dalam Analisis Kompetensi Calon Tenaga Keperawatan Menggunakan Algoritma Apriori Habiburrahman
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.652 KB) | DOI: 10.37034/infeb.v4i4.167

Abstract

Setiap lulusan S1 keperawatan (NERS) harus dinyatakan kompeten pada Uji Kompetensi Ners Indonesia (UKNI) yang diadakan Kemdikbud untuk mendapatkan Surat Tanda Registrasi (STR) sebagai syarat bekerja. Tingkat kelulusan mahasiswa keperawatan dalam mengikuti UKNI sangat rendah jika dibandingkan dengan beberapa negara lain. Penelitian ini bertujuan mengidentifikasi faktor-faktor yang perlu dioptimalkan calon tenaga keperawatan dalam persiapan menghadapi UKNI dengan teknologi data mining. Data yang diolah dalam penelitian ini bersumber dari Appskep Indonesia, suatu startup yang bergerak di bidang pendidikan kesehatan, diantaranya try out dan bimbingan belajar UKNI. Appskep memiliki data kelulusan UKNI lebih dari 2000 pesertanya yang tersebar di seluruh Indonesia pada tahun 2021 dan 2022. Data tersebut dianalisis menggunakan Algoritma Apriori untuk menemukan rule-rule asosiasi yang terkait dengan kelulusan calon tenaga perawat dalam UKNI. Hasil dari pengolahan data peserta UKNI ini adalah ditemukannya beberapa set rule asosiasi yang mempengaruhi kompeten atau tidaknya calon tenaga perawat dalam UKNI. Rule asosiasi yang paling dominan adalah jika penguasaan materi keperawatan jiwa lebih dari 60 persen maka seorang perawat akan lulus pada UKNI, dengan support 55% dan confidence 100%.
Sistem Pendukung Keputusan Cerdas Menggunakan Metode Ant Colont Optimization (ACO) untuk Pencarian Jalur Optimum Rantai Pasok Bioenergi Berbasis Kelapa Sawit Maryani, Rina
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.608 KB) | DOI: 10.37034/infeb.v4i4.168

Abstract

The concept of supply chain management in business activities is very necessary. This concept involves more than one type of company. One of the businesses that requires this concept is palm oil-based bioenergy management. The optimal path in the supply chain network is very difficult, because the product supply chain network is perishable. For that we need an intelligent decision support system model in the search for the optimal path. The purpose of this study is to determine the optimum value and to find the optimum path of the palm oil-based bioenergy supply chain. The method used in the development of the model is the ant colony optimization method, namely the shortest path method. The data processed is the distance and time of supply. The optimal path search result is 0.035. So that this research becomes a reference in determining the optimal path.
Analisis Trend Saham LQ-45 selama Pandemi Covid-19 dengan K-Means Clustering Hanjasto, Prima
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.53 KB) | DOI: 10.37034/infeb.v4i4.169

Abstract

Stocks are one of the investment instruments that have great risks and benefits. Large profits in a very fast time often make investors forget about the risks that may occur. Dynamic price changes at any time require in-depth analysis to determine the decision to buy, hold or sell. The COVID-19 pandemic has had a major effect on economic growth, investment and culture. This study aims to group stocks that have the same trend during the pandemic so that they can get returns and minimize the risk of loss. The stock price data in this study is sourced from finance.yahoo.com with a time span from 2019 to 2021. The stocks to be analyzed are stocks belonging to the LQ-45 stock category from 2019 to 2021. will be grouped with K-means Clustering. This study groups LQ-45 stocks into 3 clusters which are the right considerations by investors in stock investments during the Covid-19 pandemic.
Pengendali Persediaan Barang Menggunakan Metode Single Exponential Smothing untuk Peramalan Penjualan Ali, Muhamad Taufik; Bintang, Alfa
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.889 KB) | DOI: 10.37034/infeb.v4i4.170

Abstract

CV. Usaha Muda Materials is a company engaged in the distribution of wood, cement, iron and other building materials. Frequent errors in data collection of purchases and sales lead to disinformation in the distribution of goods. Prediction is a process for estimating how many needs in the future which include needs in terms of quantity, quality, time and location needed in order to meet the demand for goods or services. Prediction of the number of inventory items can be calculated using exponential smoothing, Exponential smoothing is often called Exponential Smoothing, exponential smoothing method is a prediction with a moving average technique where data weighting is weighted with an exponential function. The research methodology has steps that are used to solve problems that arise. The problems that occur in this study are regarding the prediction of CV. Young Business Materials using the Single Exponential Smoothing method. Prediction results are obtained by finding the constant value (alpha) with the smallest error using the Mean Squered Error (MSE), Root Mean Squred Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) methods. The results of this study using Single Exponential Smothing have obtained predictions of 132 rods for January 2022. Based on the prediction accuracy test using the Mean Squered Error (MAE) method with a value of 3.01, Mean Squered Error (MSE) with a value of 18.18, and MAPE (Mean Absolute Percentage Error) obtained an error accuracy value of 9% using a weighted value of (alpha) 0.3. So this research can be taken into consideration for CV. Young Business Materials as an evaluation and appropriate decision making in order to minimize the risk of losses due to errors in the management of business capital.
Optimalisasi Prestasi Kerja Karyawan dengan Menggunakan Analisis SEM PLS Yanti, Novi; Mallisza, Danyl; Mariandi, Reski
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.073 KB) | DOI: 10.37034/infeb.v4i4.171

Abstract

PT. Kereta Api Indonesia (Persero) Regional Division II West Sumatra is one of the State-Owned Enterprises (BUMN) engaged in rail transportation services. The company is very concerned about improving employee performance. Factors that affect achievement are career planning, work environment and work stress. Career planning is an opportunity created by the company in developing the talents possessed by its employees. This study aims to analyze the influence of these factors on employee performance in optimizing company functions so that they improve better. The data population processed in the study amounted to 510 people and the sample used was 83 people who were processed using the Slovin formula. The analytical method used is Partial Least Square (PLS) Structural Equation Model (SEM) in measuring the level of relationship of each variable with its construct indicators. The results obtained are the contribution of career planning, career environment, and work stress to employee performance of 46.5%, with 53.5% being influenced by other variables outside of this study. So that this research can be used as an indicator in optimizing employee performance.
Implementation of Islamic Business Ethics on Merchant Behavior Sidoarjo Krempyang Traditional Market Chicken Eggs Qoriani, Hersa Farida
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.674 KB) | DOI: 10.37034/infeb.v4i4.172

Abstract

Ethics is a polite attitude that must be owned by everyone in carrying out various activities, whether trading, teaching, asking questions, including in business we must also prioritize ethics. Ethics are attitudes, knowledge, morals that must be considered in organizing and managing a business. Attitudes that reflect ethics in trading or doing business include being honest, kind, respectful of others, indifferent, responsible, considerate, and so on. Pagerwojo is one of the villages where the majority of the population trades eggs. They usually have horen or free-range chicken farms close to where they live. So they usually sell their livestock chicken eggs to the Krempyang market around where they live. The focus of the problem here is how is the implementation of islamic business ethics in the behavior of chicken egg traders in Pagerwojo, Sidoarjo. The research method used is descriptive qualitative, which means research with a qualitative approach is a research procedure that produces descriptive data. The purpose of this research was to determine the implementation of business ethics in the behavior of chicken egg traders in the Krempyang market, Pagerwojo, Sidoarjo. This research discusses at length the stages of human awareness of the application of business ethics in their daily trade from an Islamic perspective. It takes time and process for the chicken egg traders in the Krempyang market to develop ethical awareness in trading or doing business. Related to how the implementation of business ethics in the behavior of chicken egg traders in the Krempyang market, pagerwojo, Sidoarjo. The results of the study show that, egg traders in the Krempyang market, Pagerwojo, Buduran, Sidoarjo have understood islamic business ethics, and have believed that Islamic teachings have regulated all human activities or activities, including in matters of trading or egg business, the sole purpose of which is to gain the blessings of Allah the creator. Egg traders have implemented the principles of Islamic business ethics, namely monotheism, balance, free will, responsibility, honesty, fairness, and so on.
Identifikasi Prilaku Konsumen dalam Pengambilan Keputusan Penggunaan Jasa Pengiriman Barang Afrizal; Wisanggara, Rangga; Rama, Alfi Syukri; Adif, Riandy Mardhika
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.725 KB) | DOI: 10.37034/infeb.v4i4.174

Abstract

The package delivery service business experiences intense competition between transportation companies. This form of competition is marked by the proliferation of shipping service companies in Indonesia. Many of these companies are managed by the private sector and only one is managed by the state, namely PT. Pos Indonesia (Persero). PT. Pos Indonesia (Persero) has one package delivery service company, namely PT. Indonesian Postal Delivery Services (Persero). This company is a state company that provides public services, but competes strictly with private companies. Currently, many people do not use the services provided by PT. Pos Indonesia (Persero), so that it is forgotten by the public. Factors that greatly influence are the many delivery service industries that offer added value. The most widely offered offer is speed and accuracy to the destination, wider coverage and low cost. This study aims to identify the factors that influence the satisfaction of consumers who are loyal to using the services of PT. Indonesian Postal Delivery Services (Persero). The method used is descriptive quantitative research on consumer decision factors at the Air Bangis post office in West Pasaman, West Sumatra. The results obtained are that customer trust has no positive and insignificant effect on consumer decisions with a significant level of 0.451. Brand Recall has a positive and significant effect on Consumer Decisions with a significance level of 0.001. Word of Mouth has a positive and significant effect on consumer decisions with a significance level of 0.000. So that this research can be used as a recommendation by package service providers in identifying factors in retaining customers.

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