Articles
<![CDATA[Business Intelligent Method For Academic Dashboard ]]>
<![CDATA[Niki Destiandi]]>;
<![CDATA[Aditiya Hermawan]]>
<![CDATA[ bit-Tech Vol. 1 No. 2 (2018): Data and Information Quality ]]>
Publisher : <![CDATA[Komunitas Dosen Indonesia ]]>
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DOI: 10.32877/bt.v1i2.42
<![CDATA[Business Intelligence Lifecycle is a method for developing effective business intelligence (BI) decision support applications such as the Academic Dashboard. There are six steps in the BI life cycle from the beginning to implementation such as Justification, Planning, Business Analysis, Design, Construction, and Deployment, where each step is developed to be more detailed in accordance with BI's environmental needs (L. T. Moss). Management of tertiary institutions in Indonesia requires appropriate and fast academic reports that make it possible to make strategic decisions and in order to improve the quality of education. Academic evaluations can be presented with the dashboard being easy for decision making. The dashboard is a page that displays graphics as a KPI from an organization and provides everything needed to make key research results [4]. Problems that occur there are a lot of academic data that is stored but when turning it into a report at the time of evaluation academic activities are difficult and require a long time and require monitoring, evaluation and measurement tools that can measure the performance of universities. The Business Intelligence Lifecycle can be used to provide information to produce high resolution by adding KPI components.]]>
<![CDATA[The Hotel Recommendation System Using SAW (Simple Additive Weighting) And TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) Method ]]>
<![CDATA[Aditiya Hermawan]]>;
<![CDATA[Evan -]]>
<![CDATA[ bit-Tech Vol. 1 No. 3 (2019): Learning Synchronous and Asynchronous in the Industry 4.0 ]]>
Publisher : <![CDATA[Komunitas Dosen Indonesia ]]>
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DOI: 10.32877/bt.v1i3.71
<![CDATA[Tourism is one of the important economic sectors in Indonesia that needs to be developed. This is based on data of the number of tourist visits from “Kementrian Pariwisata Republik Indonesia” website that the number of tourists in Indonesia is very much and continues to increase over time. Due to the increasing number of tourist visits from various places, makes many entrepreneurs are competing to establish a hotel as a place of business with variety of price, class, facility and service. Then, the growth of the hotels became very rapid. With so many choices of the hotels, of course it will cause a problems for tourists to decide which hotel is suitable with the desired criteria. With the development of information technology in this era of globalization, technology should be utilized to solve this problem as a decision support system that can recommend which hotel is the most suitable from the tourist desires. The hotel data to be used in this research comes from hotel search site. The methods used for this decision support system are SAW and TOPSIS methods. The reason for using this methods is because SAW has the ability to assess more accurately because it is based on criteria and the computation of TOPSIS method is efficient and fast. The criteria used on choosing the hotel are price, facilities and class. The results of this research has been generated as a web-based application for hotel recommendation. Based on the test results of this hotel recommendation system application, this application works as expected.]]>
<![CDATA[Designing Employee Performance Monitoring Dashboard Using Key Performance Indicator (KPI) ]]>
<![CDATA[Yance Gusnadi]]>;
<![CDATA[Aditiya Hermawan]]>
<![CDATA[ bit-Tech Vol. 2 No. 2 (2019): Support System ]]>
Publisher : <![CDATA[Komunitas Dosen Indonesia ]]>
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DOI: 10.32877/bt.v2i2.107
<![CDATA[Institutions or companies must indirectly be ready to face the era of digitalization in presenting company information, especially to see employee performance. Many companies have not used an application that can help in the process of monitoring employees so far. The problem that occurs is that the company has been monitoring the process using a Spreadsheet which consists of inputting employee performance and reporting employee performance results with a predetermined target. In the process it takes a long time and tools to assist in monitoring and measuring employee performance. Dashboard monitoring is designed using the Key Performance Indicator (KPI) method that will help management and then focus on performance aspects that are used as a measure of company performance, which in turn the dashboard application with KPI will facilitate division heads and managers in conducting the analysis process, monitoring and evaluation. From the results of this research, the use of dashboard monitoring can facilitate the user in monitoring and measuring the KPI of each employee.]]>
<![CDATA[Decision Support System for Determining Employee Bonus Using Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Method At Spin Warriors Indonesia ]]>
<![CDATA[michael vernannes marpaung]]>;
<![CDATA[Aditiya Hermawan]]>
<![CDATA[ bit-Tech Vol. 3 No. 3 (2021): Remote Delivery ]]>
Publisher : <![CDATA[Komunitas Dosen Indonesia ]]>
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DOI: 10.32877/bt.v3i3.196
<![CDATA[Spin Warriors Indonesia has a number of employees who help in its development, employees are the main factor in the smooth running, progress and success of a company. Therefore, the provision of employee bonus allowances is carried out so that it affects all aspects of employee work. In general, the appraisal process for each employee takes a long time and is not necessarily accurate. All that happened because it used manual calculations. Based on the problems, a decision support system application was create which aims to simplify and perform a fast calculation process. This application uses the AHP and SAW methods which can provide accurate result because these methods have their respective advantages that complement each other. To test the system that was made then 7 users were distributed and filled out a questionnaire. Based od questionnaires that have been distributed and filled out by users, the results show that about 67.1% of respondents said they were quite satisfied with this application. Based on this data, it can be said that this application is useful for users to assist and facilitate companies in determining employee bonuses]]>
<![CDATA[Implementation of Naïve Bayes Algorithm for Classification of Mental Health of Social Media Users ]]>
<![CDATA[Aditiya Hermawan]]>
<![CDATA[ bit-Tech Vol. 4 No. 2 (2021): bit-Tech ]]>
Publisher : <![CDATA[Komunitas Dosen Indonesia ]]>
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DOI: 10.32877/bt.v4i2.282
<![CDATA[Social media has become a human need to interact in everyday life. Apart from being a means of communication, social media also has the additional function of exchanging information on the internet in various forms including writing, images and videos. One of the social media that has many users is Instagram, where Instagram offers information sharing features in the form of images, photos and short videos. The purpose of this feature is for users to express themselves and attract the attention of others, thereby creating feelings of happiness and increasing self-confidence. In addition to positive impacts, there are also negative impacts on users, for example excessive use that causes addiction so that it can cause mental health disorders. Mental health needs to be handled properly so that it does not continue to get worse, but there are several obstacles in seeing a psychiatrist in mental health, including limited access and also negative stigma if someone sees a psychiatrist. Therefore, a tool is needed that can be an early indication in knowing the level of mental agitation, especially in the use of Instagram. Classification in data mining can help provide initial information on a person's condition in his mental health. The Naïve Bayes algorithm provides an accuracy rate of 92.5% in classifying mental health on data sets that have been clustered. Good accuracy can help social media users know their mental health condition.]]>
<![CDATA[Decision Support System for Employee Performance Assessment with SAW and TOPSIS Methods ]]>
<![CDATA[Aditiya Hermawan]]>;
<![CDATA[A Damiyati]]>
<![CDATA[ eCo-Buss Vol. 2 No. 3 (2020): Social distancing ]]>
Publisher : <![CDATA[Komunitas Dosen Indonesia ]]>
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DOI: 10.32877/eb.v2i3.139
<![CDATA[Employees are one important factor of a company. That's because many employees play a role in every activity of a company. Therefore, companies must carry out employee evaluation processes to be able to maintain and mature employee performance. In general, the employee assessment process requires a long time and the results obtained are not necessarily accurate. That is because there are many elements that must be assessed and also the calculation process is still done manually. These elements include work performance, honesty, cooperation, obedience, and loyalty. Based on the problem, a decision support system was created that could simplify and speed up the employee evaluation process. The method used is SAW and TOPSIS which can help to provide accurate results because both methods are suitable for processing data with many criteria or elements. To test the system that has been made, the authors conducted the activity of giving a questionnaire conducted or filled out by 15 users. Based on the results of testing and questionnaires that have been distributed and filled out by users, it was found that around 92% of respondents stated that they were very satisfied with the system as a whole. Then based on the data, this decision support system functions well and is beneficial for users because it helps and facilitates the company in the employee appraisal process and also helps employees know their potential.]]>
<![CDATA[Perancangan Aplikasi Social Network Travellers menggunakan Metode Electre ]]>
<![CDATA[Rheza Vincentius]]>;
<![CDATA[Aditiya Hermawan]]>
<![CDATA[ Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 2, No 1 (2020): Maret ]]>
Publisher : <![CDATA[Universitas Wahid Hasyim ]]>
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DOI: 10.36499/jinrpl.v2i1.2777
<![CDATA[Pariwisata adalah salah satu sektor ekonomi penting di Indonesia yang perlu dikembangkan. Ini didasarkan pada data jumlah kunjungan wisatawan dari situs web “Kementrian Pariwisata Republik Indonesia” bahwa jumlah wisatawan di Indonesia sangat banyak dan terus meningkat dari waktu ke waktu. Karena semakin banyaknya kunjungan wisatawan dari berbagai tempat, dengan banyaknya tempat wisata di Indonesia membuat para wisatawan bingung untuk memilih tempat wisata mana yang cocok dengan kriteria yang diinginkan. Adanya peluang untuk mengembangkan konsep social network pada rekomendasi tempat wisata di Indonesia untuk memberikan konsep berbeda ketika mencari tempat wisata untuk berlibur tidak hanya mencari tempat wisata tetapi pengguna dapat menambahkan tempat wisata yang belum terdapat pada aplikasi. Perkembangan teknologi informasi harus dimanfaatkan untuk menyelesaikan masalah ini sebagai sistem pendukung keputusan yang dapat merekomendasikan tempat wisata mana yang paling cocok dari keinginan wisatawan. Penelitian ini difokuskan pada penerapan Multi Attribute Decision Making (MADM) pada Sistem pendukung Keputusan (SPK) mengunakan metode ELimination Et Choix Traduisant la REalita (ELECTRE) pada pencarian tempat wisata untuk menyesuaikan dengan kebutuhan pengguna. Kriteria yang digunakan dalam memilih tempat wisata adalah daya tarik, fasilitas dan harga tiket. Aplikasi ini sudah terhubung dengan google maps yang memudahkan pengguna mencari rute untuk menuju tempat wisata yang dituju. Hasil penelitian ini menghasilkan aplikasi berbasis web untuk rekomendasi tempat wisata akan tetapi aplikasi ini belum dapat menyatukan travellers melalui kolom komentar.]]>
<![CDATA[Implementation of Linear Regression Algorithm to Predict Stock Prices Based on Historical Data ]]>
<![CDATA[Jelvin Putra Halawa]]>;
<![CDATA[Aditiya Hermawan]]>;
<![CDATA[Junaedi .]]>
<![CDATA[ bit-Tech Vol. 5 No. 2 (2022): bit-Tech ]]>
Publisher : <![CDATA[Komunitas Dosen Indonesia ]]>
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DOI: 10.32877/bt.v5i2.616
<![CDATA[Stock investment is in great demand by investors because it can provide large profits with large risks or losses, in accordance with the investment principle of low risk low return, high risk high return. Stock prices that fluctuate in a very short time make it difficult for investors to predict stock prices in the future, so investors must pay more attention and gather as much information as possible regarding the shares to be bought or sold. This study aims to create a data mining model using a Linear Regression algorithm that can predict daily stock closing prices to provide information that supports investors in stock transactions. The data used is historical data on daily stock prices for 10 companies in the last 8 years for the period 25 February 2013 – 25 February 2021. Historical stock price data will be prepared using the Noving Average method and create a data mining model using the linear regression method to generate stock price prediction models. The resulting model can be used to predict stock prices well enough to assist investors in making investment decisions to obtain large profits with low risk.]]>
<![CDATA[Optimasi Penyediaan Internet Murah Dengan Kecepatan Yang Baik Guna Media Pembelajaran Jarak Jauh ]]>
<![CDATA[Riki Riki]]>;
<![CDATA[Lia Dama Yanti]]>;
<![CDATA[Yunia Oktari]]>;
<![CDATA[Aditiya Hermawan]]>;
<![CDATA[Yusuf Kurnia]]>;
<![CDATA[Yo Ceng Giap]]>;
<![CDATA[Rina Aprilyanti]]>
<![CDATA[ Abdi Dharma Vol. 1 No. 2 (2021): Abdi Dharma: Optimasi penyediaan internet, Literasi keuangan, Pajak koperasi, K ]]>
Publisher : <![CDATA[LP3kM Universitas Buddhi Dharma ]]>
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DOI: 10.31253/ad.v1i2.699
<![CDATA[Kesadaran pendidikan secara umum, kemampuan panduan teknologi dan kemampuan pembelajaran online masih rendah, sehingga menyulitkan orang tua dan siswa (terutama siswa sekolah dasar) guna menggunakan fasilitas teknologi dan memperoleh informasi dari pembelajaran. Berdasarkan paparan di atas, berikut beberapa permasalahan yang dapat diidentifikasi: 1) Tidak semua warga di lingkungan RT 06 RW 07 Griya Sangiang Mas memiliki fasilitas Internet yang cepat dan murah. Sebagai warga dan pendidik, kami berinisiatif menyediakan fasilitas internet murah dan cepat kemudian memberikan pelatihan. Secara umum kegiatan ini telah berlangsung selama 1 tahun, dan terdapat pengguna aktif pembelajaran sebanyak 15 siswa SD dan SMP setiap harinya. Secara umum bagi warga Perumahan Griya Sangiang Mas, Internet di RT ini bisa menjadi alternatif internet yang murah]]>
<![CDATA[Pelatihan Desain Slide dengan Canva ]]>
<![CDATA[Junaedi]]>;
<![CDATA[Lianny Wydiastuty Kusuma]]>;
<![CDATA[Yo Ceng Giap]]>;
<![CDATA[Suwitno]]>;
<![CDATA[Aditiya Hermawan]]>;
<![CDATA[Rino]]>;
<![CDATA[Benny Daniawan]]>;
<![CDATA[Riki]]>
<![CDATA[ Abdi Dharma Vol. 2 No. 2 (2022): Abdi Dharma: Keuangan, Manajemen persediaan, Perpajakan, Etika bisnis UMKM, Dig ]]>
Publisher : <![CDATA[LP3kM Universitas Buddhi Dharma ]]>
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DOI: 10.31253/ad.v2i2.1737
<![CDATA[Perkembangan di era sekarang banyak sekali perubahan dari segi teknologi. Perkembangan teknologi ini meliputi desain grafis, pemrograman, aplikasi dan sebagainya. Hal inilah yang membuat penulis sebagai pendidik untuk melakukan pengabdian kepada masyarakat dengan cara melakukan sebuah workshop dengan tema “Pelatihan Desain Slide dengan Canva” yang bertujuan untuk memperkenalkan membuat sebuah desain pada slide presentasi dengan baik, rapih dan interaktif sebagai media penyampaian pembelajarannya. Pelatihan Desain Slide dengan Canva ini juga didukung oleh Universitas Buddhi Dharma sebagai tempat dilaksanakannya pelatihan ini. Para peserta dari Pelatihan Desain Slide dengan Canva ini diikuti oleh para romo dan rahmani dari Magabudhi Kota Tangerang. Hasil dari pelatihan ini akan di implementasikan dalam pembuatan presentasi sebagai media pembelajaran.]]>
