Article Per Year (5 Year)
p-Index From 2020 - 2025
2.123
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer
Mohammad Aldinugroho Abdullah
Universitas Budi Luhur, Jakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Perancangan Tempat Sampah Anorganik Secara Otomatis Menggunakan Sensor Ultrasonik dan Arduino Uno Rima Tamara Aldisa; Mohammad Aldinugroho Abdullah; Andilaw Andilaw
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 3 (2022): Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3911

Abstract

Inorganic waste is waste that cannot be decomposed, in the laboratory a trash can has been provided, but there are still many laboratory users who still put, leave waste such as used paper and plastic bottles in any place. can help in facilitating laboratory users in disposing of waste only by using sensors, so a tool is designed that can be easily affordable and easy to use to prevent the amount of waste and piles of waste paper and plastic bottles. The author designed the Design of Automatic Inorganic Garbage Disposal Using Ultrasonic Sensors and Arduino Uno Case Study: Unas Artificial Intelligence Laboratory by using our hand proximity sensor the trash can opens automatically, we don't need to hold or touch the trash can, just use the proximity sensor, it opens automatically, and the trash can will close automatically if the proximity sensor moves away. So the author wants to design and make this tool that can be very helpful for use in the laboratory in order to minimize the amount of inorganic waste left behind.
Analisis Sentimen terhadap Peluang Kerja di Indonesia selama Masa Pandemi COVID-19 dengan Metode Klasifikasi Naive Bayes Mohammad Aldinugroho Abdullah; Deni Mahdiana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3972

Abstract

The impact of the COVID-19 pandemic is very broad, one of which is in the business sector. This has resulted in an impact on job opportunities during the COVID-19 pandemic in Indonesia. This study aims to conduct in-depth learning related to job opportunities in Indonesia during the COVID-19 pandemic using the Naive Bayes model. The data source used comes from Twitter. The results of this study indicate that the largest AUC score falls to the Random Forest model (79.40%), but for more accurate precision falls to the Naive Bayes model (87.88%). In addition, there is a confusion matrix which shows that the Naive Bayes model trial is running well.
Penerapan Big Data Analytic Terhadap Strategi Pemasaran Job Portal di Indonesia dengan Karakteristik Big Data 5V Rima Tamara Aldisa; Pandu Maulana; Mohammad Aldinugroho Abdullah
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 3 (2022): Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3905

Abstract

The impact of the COVID-19 pandemic has paralyzed the business sector, resulting in changes in business activities in many companies today. Many companies are competing to digitize their business, PT XYZ is one of them. PT XYZ is a company engaged in outsourcing. Outsourcing companies are one of the many types of companies that have been heavily impacted during the COVID-19 pandemic. In order to restore its business, PT XYZ has an innovation in the form of a job portal. PT XYZ always strives to market its job market. This is the biggest challenge that PT XYZ has on its job portal. Therefore, it is necessary to apply big data to be utilized by PT XYZ. This study reviews the application of big data on the job portal of PT XYZ. The implementation of big data refers to the five characteristics of big data (5V), volume, variety, velocity, veracity, and value. The method used to obtain data in this study is through interviews and observation. The results of this study indicate that the five characteristics meet the criteria for the application of big data. This allows PT XYZ's job portal to apply big data analytics to its marketing strategy.
Penerapan Metode Naïve Bayes Dalam Mendiagnosa Penyakit Leptospirosis Rima Tamara Aldisa; Sechan Alfarisi; Mohammad Aldinugroho Abdullah
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2205

Abstract

There are still many people who are less concerned with environmental cleanliness, where this can lead to the accumulation of bad bacteria that cause disease. One of them is Leptospirosis, a disease caused by a bacterial infection, namely the Leptospira strain. Leptospirosis is a disease caused by the laying of bacteria in animals that is transmitted to humans. This disease is often ignored by the public due to lack of understanding about this disease and the high cost of conducting examinations and consulting a doctor or hospital. So that in overcoming this we need a way that is able to help the community in knowing and diagnosing Leptospirosis, one of which is by using an expert system. The expert system used in solving the problem of Leptospirosis is by using the Naïve Bayes method. The application of the Naïve Bayes method in diagnosing Leptospirosis is carried out by collecting data about Leptospirosis where this process aims to find out what symptoms are caused by Leptospirosis. The process of collecting data on this disease is done by interviewing an expert or doctor who handles the problem of Leptospirosis. The results of the diagnosis of Leptospirosis based on the calculation of the Naïve Bayes method with new user data samples get results with a definite level of accuracy where the user experiences Leptospirosis disease with mild symptoms of 63% and the results of the user experiencing Leptospirosis disease with severe symptoms of 37%. Naïve Bayes is able to diagnose with 100% accuracy seen from the total severe and mild symptoms
Penerapan Metode MOOSRA Dalam Penentuan Penerimaan Frontliner Menggunakan Pembobotan Metode ROC Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5647

Abstract

In improving service efforts in an agency or service company, a responsible, dexterous, and well-informed frontliner is needed to communicate well with consumers so as to help the needs of these consumers. Not a few frontliners are unfriendly and also make consumers feel uncomfortable with the services provided by a frontliner so that it can have a bad impact on the company's agency. Therefore, this research was made to make it easier for company agencies to recruit frontliners who are friendly, polite, dexterous and responsible. To realize this, an effective and efficient system is needed in making a decision to recruit competent frontliners. The required system is called a decision support system. In the application of spk there are many methods that can be used, namely the WP, SAW, Electree, PSI, WASPAS, MOOSRA, TOPSIS, MOORA methods and there are also specific methods to find the value of the importance weight of each criterion such as ROC, AHP, Entrophy and others. a suitable method used in the problems in this study is the method used to recruit frontliners, namely the ROC and MOOSRA methods. The results after applying the ROC method are used to weight and find the importance value of each criterion and also use the MOOSRA method which is applied to find the ranking of each alternative that registers as a frontliner based on each criterion. After applying the two methods, namely the ROC and MOOSRA methods, it was produced that the best alternative was A8 with a preference value of 44.6195 and followed by alternative A1 with a preference value of 40.2737 and alternative A6 with a preference value of 39.8573. So, those who are eligible to graduate become frontliners on behalf of Ratih, Moci and Aldi
Data Mining Untuk Menerapkan Algoritma Hash Based Pada Penetapan Pola Tata Letak Penjualan Bakery and Cake Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 3 (2023): Maret 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5933

Abstract

Bakery and cake business is one of the businesses engaged in the culinary field. bakery and cake business has always been the center of attention for entrepreneurs because it will always have consumers or customers. Usually the bakery and cake business will be in demand when there are events such as birthdays, souvenirs and other events. Bakery and cake is a business that sells various cake or cake products. In determining the layout of each item can affect the efficiency of sales. Because consumers can easily find the items they need. In determining the layout of each item can be used data mining. Data mining is data mining which will eventually be used in digging up various information and producing information, data and knowledge by using pre-existing information. In this study the algorithm used is a hash based algorithm. Hash based algorithm is an algorithm that uses filtering techniques to produce a combination pattern in an itemset. Based on the research results, it was found that the main priority items were G = peanut butter, H = white bread L = srikaya jam with a support value of 25% and 60% confidence. So that peanut butter, srikaya jam and plain bread should coexist in order to increase sales efficiency at bakeries and cake.
Sistem Pendukung Keputusan Penentuan Aplikasi Jasa Pemesanan Makanan Online Terbaik Dalam Menerapkan Metode OCRA Mohammad Aldinugroho Abdullah; Gandung Triyono; Rima Tamara Aldisa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5932

Abstract

In using online food ordering service applications, the existence of a Decision Support System (DSS) with the OCRA method is very helpful in choosing the best alternative. The application of a Decision Support System with the OCRA method gives important value to the predetermined criteria, so that the best alternative can be selected objectively and measurably. In choosing the best online food ordering service application. the use of DSS can increase the effectiveness and efficiency in decision making, thus bringing a positive impact on the development of the business. So from the results obtained from research regarding determining the best online food ordering service application is alternative A5 (GoFood) with a value of 0.2000.
Perbandingan Metode Preference Selection Index dan Kombinasi Preference Selection Index dan TOPSIS dalam Penilaian Kinerja Karyawan Hotel Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.960

Abstract

An employee refers to an individual who works in a company or organization and receives an imbalance in the form of salary or wages for his contribution. Employee Employee refers to work performance obtained by employees in carrying out their duties by meeting the quality and quantity standards expected by the company. Employee performance appraisal contributes to increasing productivity, quality of human resources, employee motivation, decision making, and transparency in the company. Therefore, employee performance appraisal is an important and routine activity in a hotel company environment. Hotel is a place that provides lodging for guests who want to stay temporarily for a certain time. Hotels usually have a variety of facilities and services to meet the needs of guests. In assessing employee performance, several criteria have been determined, namely Quality of Work, Productivity, Communication Skills, Team Collaboration, Problem Solving Ability, Initiative, Creativity, Compliance, Ethics and Self-Development. In this study, we wanted to know the results of the comparison of the implementation of the PSI method to produce weight values ??and rankings with the results of implementing a combination of the PSI and TOPSIS methods, where the PSI method was used for weights and the TOPSIS method for ranking alternatives. The application of this method is carried out to obtain results in evaluating the performance of hotel employees. The research results from a comparison of the application of the PSI method and PSI Cable and TOPSIS produce the same best alternative, namely A7 with a value of 0.9435 with the application of the PSI method and a value of 0.8589 with the application of a combination of the PSI and TOPSIS methods
Analisis Penerapan MOORA dan WASPAS Dalam Pendukung Keputusan Penentuan Guru Komputer Terbaik Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1163

Abstract

A computer teacher is a teacher who provides a knowledge in which the knowledge leads to the field of computers. Teachers who master computer science are needed in every school because this knowledge is very difficult to understand if no one guides them. However, the more teachers in the computer field, the more difficult it is to know which teacher is the best with innovation and creativity in that field. So with that the writer needs 4 criteria in order to solve a problem that often occurs. These criteria include Education, Teaching Experience, Mastery of Computer Science, and Discipline. So in this research a helper system is really needed to solve the problems that occur in the research. The system referred to as an auxiliary tool in problem solving is the Decision Support System (DSS) which can be assisted in completing a calculation using the MOORA and WASPAS methods. So, in determining the best computer teacher using the MOORA method, Adian was chosen with a total score of 0.49347, while Adian was chosen with the WASPAS method with a total score of 1.00000.
Penerapan Sistem Pendukung Keputusan Dengan Menggunakan Metode EDAS Dalam Seleksi Penerimaan Penyiar Radio Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4393

Abstract

A broadcaster is an individual who is responsible for conveying information, entertainment, and interacting with listeners through radio broadcasts. In the world of radio broadcasting, there are a number of criteria that must be met including education, self-confidence, musical knowledge, vocal quality and communication skills. However, the selection process often faces several challenges, including bias in selection and a lack of transparency and objectivity. Some radio stations still use conventional methods such as direct interviews or written tests, which have proven to be less effective. This is where modern technology and selection methods, such as Decision Support Systems (DSS), can play an important role. SPK is information technology that assists in decision making during the radio announcer selection process, with the aim of increasing the effectiveness and efficiency of decisions. Research using the EDAS (Distance From Average Solution) method has proven that the application of SPK can improve the radio announcer selection process. Radio stations can produce high-quality broadcasters and ensure broadcasts that appeal to listeners. The calculation results using the EDAS method show a value of 1 in the Q1 criterion on behalf of Setyowati Budi, validating the success of the selection process.
Co-Authors Andilaw Andilaw Deni Mahdiana Pandu Maulana Rima Tamara Aldisa Sechan Alfarisi Triyono, Gandung