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IJESPG (International Journal of Engineering, Economic, Social Politic and Government) journal
Published by Brilian Media
ISSN : -     EISSN : 25033212     DOI : -
Core Subject : Economy, Science, Social, Engineering,
Computer Science & IT Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Social Sciences
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) journal publishing scientific papers in the form of journals of philosophy in general and economics. An objective of the IJESPG (International Journal of Engineering, Economic, Social Politic and Government) journal is to promote the wide dissemination of the results Engineering, Economic, Social Politic and Government. The IJESPG is intended to be the journal for publishing articles reporting the results of research on business. The IJESPG invites manuscripts in the areas: Economic, Management, Social Politic, Government. The IJESPG accepts articles on any business related subjects and any research methodology that meet the standards established for publication in the journal. The primary, but not exclusive, audiences are academicians, graduate students, practitioners, and others interested in business research. The primary criterion for publication in IJESPG is the significance of the contribution an article makes to the literature in business area, i.e., the significance of the contribution and on the rigor of analysis and presentation of the paper. The acceptance decision is made based upon an independent review process that provides critically constructive and prompt evaluations of submitted manuscripts.
Arjuna Subject : Umum - Umum
Articles 88 Documents
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Analisis Gaya Kepemimpinan Demokratis Pada PT X di Jakarta Pusat Arliani Yunika Amandasari; Christian Wiradendi Wolor; Roni Faslah
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26638/ijespg.v1i3.51

Abstract

Pada penelitian ini memiliki tujuan yaitu untuk mengetahui proses pelimpahan wewenang, pengambilan keputusan dan penyelesaian masalah pada salah satu departemen PT X di Jakarta. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus. Pengambilan sampel dilakukan dengan purposive sampling yang didapatkan sampel sejumlah 4 orang. Teknik pengumpulan data ini meliputi observasi, wawancara dan studi pustaka serta dengan tahapan analisis data yaitu pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan.
Peramalan Indeks Harga Saham PT XYZ Menggunakan Metode Double Moving Average (DMA) M.Naufal Rafirhan; Ade Kanianingsih; Agus Komarudin
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

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Abstract

The stock price index is an indicator that is useful as an illustration of the movement of stock prices in a period. Forecasting on the stock price index can be used as a reference or benchmark in capital market activities and products resulting from investment. In this study, there is a goal to be achieved, namely to predict the stock price index at PT XYZ based on existing historical data to see how accurate the forecast is made on actual data using the forecasting method, namely the Double Moving Average (DMA) method, which is a model. forecasting to determine the trend of a time series, so that it will obtain stock price index value forecasting data based on existing historical data. In this research, forecasting will be carried out regarding the stock price index for the period June 2018 - June 2023 at PT XYZ (Persero) Tbk, which is one of the BUMNs engaged in the construction sector. Based on the results obtained by forecasting the Double Moving Average (DMA), the values for forecasting the stock price index for the value for forecasting the stock price index for the Open index type is 3.27%, High 3.11%, Low 3.10%, and Close 3.17% each having a MAPE value of <10% . So that in the research "PT XYZ STOCK PRICE INDEX FORECASTING USING THE DOUBLE MOVING AVERAGE (DMA) METHOD" the performance of the prediction model carried out has very good and accurate performance.
Perbandingan Improved K-Nearest Neighbour Dengan K-Nearest Neighbour Pada Analisis Sentimen Moda Raya Terpadu Jakarta Fahmy Akhmad Firdaus; Yulison Herry Chrisnanto; Puspita Nurul Sabrina
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

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Abstract

ABSTRAK K-Nearest Neighbour merupakan algoritma klasifikasi yang dikenal sebagai metode berbasis jarak. Improved K-Nearest Neighbour merupakan perkembangan dari K-Nearest Neighbour yang memiliki perbedaan pada bobot nilai k yang memiliki nilai tetap Permasalahan dalam penelitian ini adalah bagaimana akurasi metode iknn dibandingan pada analisis sentimen Moda Raya Terpadu Jakarta (MRT). MRT Jakarta merupakan sebuah transportasi umum yang menggunakan listrik di Jakarta yang diharapkan dapat mengurangi angka kemacetan di daerah Jakarta. Pengoprasian MRT yang sudah secara resmi banyak menimbulkan respon dari masyarakat, baik itu respon yang positif, negatif, maupun netral. Untuk mengetahui hal tersebut, analisis sentiment dapat digunakan untuk mengklasifikasikan sebuah kalimat. Hasil penelitian dengan eksperimen dataset yang tidak balance dan yang balance di setiap kelasnya, eksperimen nilai K dan beberapoa splitting data menunjukkan bahwa peningkatan akurasi metode Improved K-Nearest Neighbour terhadap K-Nearest Neighbour pada kasus analisis sentiment moda raya terpadu tidak signifikan, dengan akurasi 77.24%, precission sebesar 0.77, Recall sebesar 0.77, dan F1 Score sebesar 0.77. Sedangkan metode ­K-Nearest Neighbour memiliki akurasi sebesar 76.12%, dengan precission sebesar 0.76, Recall sebesar 0.76, dan F1 Score sebesar 0.76. Kata kunci: Improved K-Nearest Neighbour. K-Nearest Neighbour, MRT Jakarta ABSTRACT K-Nearest Neighbor is a classification algorithm known as the distance-based method. Improved K-Nearest Neighbor is a development of K-Nearest Neighbor which has a difference in the weight of the value of k which has a fixed value. The problem in this research is how the accuracy of the Improved K-Nearest Neighbor method is compared to the sentiment analysis of the Jakarta Integrated Raya Mode (MRT). MRT Jakarta is a public transportation that uses electricity in Jakarta which is expected to reduce congestion in the Jakarta area. The operation of the MRT which has officially elicited many responses from the public, be it positive, negative or neutral responses. To know this, sentiment analysis can be used to classify a sentence. The results of the research with unbalanced and balanced dataset experiments in each class, experiments on K values and some data splitting show that the increase in accuracy of the Improved K-Nearest Neighbor method against K-Nearest Neighbor in the case of integrated modal sentiment analysis is not significant, with an accuracy of 77.24 %, precision of 0.77, Recall of 0.77, and F1 Score of 0.77. While the K-Nearest Neighbor method has an accuracy of 76.12%, with a precision of 0.76, Recall of 0.76, and F1 Score of 0.76.
Peramalan Penjualan Mobil Berdasarkan Merek Mobil Menggunakan Metode Exponential Smoothing Pryma Saputra Ginting; Tacbir Hendro P; Asep Id Hadiana
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

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Abstract

ABSTRACT Cars are vehicles that are used in everyday life, both in family affairs, work, and sales business. This research starts from the number of car sales that are not stable every year. This research uses a method starting from collecting past or historical sales data, forecasting calculations, forecasting calculation results, and conclusions from research. This research uses one of the forecasting methods that is carried out to forecast car sales data based on car brands by looking at historical sales data. in this study the method that will be used to support the forecasting process is carried out using the Exponential Smoothing method which will calculate each car sales dataset based on historical car sales data from previous years to be able to obtain car sales forecasting results based on car brands in the following year. Keywords: Forecasting, Exponential Smoothing, Car Brand. Abstrak Mobil merupakan kendaraan yang dipergunakan di kehidupan sehari-hari, baik dalam urusan keluarga, pekerjaan, maupun bisnis penjualan. Penelitian ini berawal dari jumlah penjualan mobil yang tidak stabil setiap tahunnya. Penelitian ini menggungakan metode dimulai dari pengumpulan data lampau atau historis penjualan, perhitungan peramalan, hasil perhitungan peramalan, dan kesimpulan dari penelitian. Penelitian ini menggunakan salah satu metode peramalan atau forecasting yang dilakukan untuk meramal data penjualan mobil berdasarkan merek mobil dengan cara melihat historis data hasil penjualan. pada penelitian ini metode yang akan digunakan untuk mendukung proses peramalan ini dilakukan dengan menggunakan metode Exponential Smoothing yang akan menghitung setiap dataset penjualan mobil berdasarkan data historis penjualan mobil dari tahun-tahun sebelumnya untuk dapat memperoleh hasil peramalan penjualan mobil berdasarkan merek mobil pada tahun berikutnya.
Klasterisasi Data Penduduk Untuk Penerimaan Bantuan Pangan Non Tunai (BPNT) Menggunakan K-Means (Studi Kasus : Desa Tanimulya Bandung Barat) Djuniardi Suhardinata; Ade Kania Ningsih; Fatan Kasyidi
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26638/ijespg.v1i3.55

Abstract

Dalam perkembangan yang terjadi di masyarakat desa tanimulya yang pesat terdapat pula pembagian beberapa kelompok masyarakat yang di golongkan dalam hal perekonomiannya untuk golongan yang masuk dalam kalangan menengah keatas dan menengah munkin dapat bertahan dan terus berkembang, sedangkan untuk yang masuk dalam golongan kebawah, memerlukan bantuan dari orang lain, bantuan yang di butuhkan sudah di berikan, namun pembagian dari bantuan pangan non tunai (BPNT) ini, pemberiannya belum merata dan efektif,mengapa terjadi seperti itu karena data penduduk yang digunakan belum cukup mendukung untuk pembagian yang merata dan masih manual, oleh karena itu diperlukan sebuah sistem pengklusteran yang dimana nanti disesuaikan dengan aturan atau kategori yang sudah ada untuk mengelompokan masyrakat agar nantinya penyalurannya bantuan dapat lebih maksimal lagi, klusterisasi yang merupakan sebuah proses untuk mengelompokan data kedalam beberapa kluster dimanadi data dalam kluster memiliki kemiripan dengan sesama nya, data penduduk yang sudah di olah nantinya diharapkan dapat membantu dalam program bantuan pangan non tunai (BPNT) yang dijalankan saat ini.
Keamanan Berbasis Service Oriented Architecture Menggunakan Oauth 2.0 dan Json Web Token Thomas Adi Nugroho; Asep Id Hadiana; Sigit Anggoro
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

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Abstract

Digital transformation has been proven to bring many benefits to company growth. In today's digital era, many companies want to generate business innovation and make it happen through applications. To achieve this, companies need solutions that can make teams agile and focused on teamwork, and create to deliver value to customers. based on these needs makes services oriented architecture a fast go-to solution for a company, this is in line with previous research which shows that the use of services oriented architecture is better than monolithic architecture because the system built is broken down into smaller parts and interconnected through Restful API, but the use of microservices architecture brings another challenge, namely on security issues. Because of these problems, this research requires an information security strategy where a layer of security defense is placed on the system. Authorization and Authentication are strategies that are suitable for implementation on microservices. Authorization in this study uses JSON Web Token and OAuth 2.0 on the authentication side. Based on Penetration Testing that has been carried out, microservices that use JSON Web Token and OAuth 2.0 security show 5 security holes that are tracked to be medium and low.
Klasifikasi Data Kesehatan Mental di Industri Teknologi Menggunakan Algoritma Random Forest Emia Rosta Br. Sebayang; Yulison Herry Chrisnanto; Melina Melina
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26638/ijespg.v1i3.57

Abstract

Abstract : Mental health is an integral part of human well-being. Mental health disorders can affect individuals in various aspects of life. Work pressure, heavy workload, and an unhealthy lifestyle can be the main causes of mental health disorders in the workplace, such as industrial technology. Employees' mental health problems in the workplace often do not receive enough attention because they cannot be seen physically. Mental health has a significant impact on the performance that will be shown by employees in contributing to the company, it requires the company's prudence and sensitivity in observing and understanding the mental health conditions of employees. In this study, the Open Source Mental Illness (OSMI) survey data was classified using the Random Forest algorithm with the ensemble method, as well as the bootstrap tree method to improve the performance of the Random Forest algorithm in determining the accuracy of mental health data. The Random Forest algorithm is an ensemble learning method that combines several decision trees to improve prediction accuracy. Classification is carried out using a bootstrap tree which takes training data to train a model or ensemble so that it can take patterns and relations from the data to carry out classification, the Random Forest algorithm is an ensemble learning method that combines several decision trees for research with 80% training data and 20 test data %. The results of this study indicate a fairly good level of accuracy, which is 84%, so that it can make an important contribution in understanding the level of mental health disorders experienced by technology industry employees. The expected results of this research can improve the quality of life and productivity of employees at work.
Analisis Resiko Kegagalan Jaringan Distribusi PLN Menggunakan Metode Fault Tree Analysis Ashar Hariadi; Idrus Termawut; Abd. Hafid; Adriani
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26638/ijespg.v1i3.58

Abstract

Abstract The world of industry and technology has a role in maintaining the continuity of economic activity and people's daily life. One of the important roles in this regard is electricity, therefore an electric power system is needed that can distribute electrical energy properly to consumers. The distribution of electrical energy in question is the distribution from generators to consumers who need electricity, such as households, industries and so on. However, in the distribution process sometimes there are interruptions or failures in the electricity distribution. Therefore, analysis of the risk of failure of the power distribution network is very important to identify the factors that cause failure and minimize the possibility of failure. Fault Tree Analysis (FTA) is an analytical method used to identify, analyze, and visualize the causes of failure or damage to complex systems. This is the background of this research. Abstrak Intisari— Dunia industri dan teknologi memiliki peran dalam menjaga kelangsungan kegiatan ekonomi dan kehidupan sehari-hari masyarakat. Salah satu peran penting dalam hal ini adalah Listrik, oleh karena itu, sistem tenaga listrik yang dapat menyalurkan energi listrik dengan baik kepada konsumen. Distribusi energi listrik yang dimaksud adalah distribusi dari pembangkit ke konsumen yang membutuhkan listrik, seperti rumah tangga, industri dan sebagainya. Namun, dalam proses distribusi, terkadang terjadi kerusakan atau kegagalan distribusi listrik. Oleh karena itu, analisis risiko kegagalan jaringan distribusi daya sangat penting untuk mengidentifikasi faktor-faktor yang menyebabkan kegagalan dan meminimalkan kemungkinan kegagalan. Fault Tree Analysis (FTA) adalah metode analisis yang digunakan untuk mengidentifikasi, menganalisis, dan memvisualisasikan penyebab kerusakan pada sistem yang kompleks. Inilah latar belakang penelitian yang dilakukan ini. Kata Kunci— Resiko Kegagalan, Jaringan Distribusi, Fault Tree Analysis
Pengaruh Penggunaan Aplikasi EMIS Dalam Menunjang Pengolahan Data Nurhidayah
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26638/ijespg.v1i3.59

Abstract

This research aims to investigate the use of the Education Management Information System (EMIS) application in Madrasah Tsanawiyah (MTs) in West Pasaman District. The study adopts the Technology Acceptance Model (TAM) approach to understand the factors influencing technology adoption by individuals. The constructs used in this study are perceived ease of use, perceived usefulness, attitude towards use, and actual system use. The sample for this research consists of 32 operators from MTs in West Pasaman District. The results show a correlation between system quality and data processing, as well as a correlation between usage effectiveness and data processing. Thus, the use of the EMIS application in MTs West Pasaman can provide benefits in improving administrative efficiency, data processing, and decision-making. This research provides valuable insights for educational organizations in adopting information technology to enhance their efficiency and effectiveness.
Upaya Peningkatan Pengetahuan Tentang NAPZA dan Dampaknya Terhadap Gangguan Jiwa pada Siswa SMK Aloer Wargakusumah Kecamatan Paseh Ade Rezki Ilahi; Annisa Alfiana; Wulan Itsna Nurkhafifah; Hasna Labibah Mardyah
IJESPG (International Journal of Engineering, Economic, Social Politic and Government) Vol. 1 No. 3 (2023)
Publisher : IJESPG (International Journal of Engineering, Economic, Social Politic and Government)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26638/ijespg.v1i3.60

Abstract

Masalah dari penyalahgunaan NAPZA di Indonesia sangatlah mengkhawatirkan, jika tidak segera ditangani maka akan menjadi suatu ancaman bagi masa depan generasi yang akan datang. Penyalahgunaan dari obat-obatan tersebut dapat menimbulkan beberapa gangguan, baik secara fisik maupun jiwa. Kandungan NAPZA yang masuk melalui peredaran darah akan menuju susunan saraf pusat yang kemudian akan mengganggu sistem saraf neurotransmitter di otak dengan melalui sel saraf otak. Dengan adanya efek tersebut, maka akan timbul gangguan mental dan perilaku bagi pengguna. Pelaksanaan kegiatan pengabdian Masyarakat bertujuan untuk meningkatkan pengetahuan tentang bahaya NAPZA dan dampaknya terhadap gangguan jiwa pada siswa SMK Aloer Wargakusumah di Paseh Kabupaten Bandung. Pelaksanaan kegiatan ini dilakukan dengan menggunakan metode tindakan preventif dalam bentuk penyuluhan. Dalam pengabdian ini, hasil yang didapatkan adalah meningkatnya pengetahuan siswa di SMK Aloer Wargakusumah tentang bahaya NAPZA dan dampaknya terhadap gangguan jiwa yang diketahui berdasarkan hasil dari pre dan post test serta diskusi yang dilaksanakan selama kegiatan penyuluhan.

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