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All Journal Seminar Nasional Informatika (SEMNASIF) Jurnal Informatika Upgris JRSI (Jurnal Rekayasa Sistem dan Industri) JURNAL MEDIA INFORMATIKA BUDIDARMA Informatics for Educators and Professional : Journal of Informatics Jurnal Komputer Terapan Jurnal TAM (Technology Acceptance Model) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jiko (Jurnal Informatika dan komputer) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Sarwahita : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Komputer dan Sistem Informasi @is The Best [Accounting Information System & Information Technology Business Enterprise] Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Santika : Jurnal Ilmiah Sains dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Cakrawala Repositori Imwi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra International Journal Engineering and Applied Technology (IJEAT) JURNAL ILMIAH INFOKOM Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Scientific Journal of Informatics Jurnal Rekayasa Teknologi Nusa Putra Jurnal TAM (Technology Acceptance Model)
Dudih Gustian
Nusa Putra University
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : International Journal Engineering and Applied Technology (IJEAT)

 1 
COMPARISON C4.5 AND NAÏVE BAYES METHODS BASED ON PARTICLE SWARM OPTIMIZATION IN LEVELS OF DROP OUT STUDENTS dudih gustian; Faridatun Ni’mah; Agus Darmawan
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 2 No. 2 (2019): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v2i2.19

Abstract

The high percentage of drop-out students causes a campus management problem, this is because the percentage of students graduating on time is one of the elements of accreditation assessment set by the national accreditation board of higher education. One reason why the drop out rate is still high is because the Management System has not run well, such as lecturer professionalism, campus facilities, academics and administration, student affairs, outside influence and student personality. This study aims to analyze several indicators that can cause student drop outs by comparing the C4.5 method based on particle swarm optimization and Naïve Bayes based on PSO. This study contributes to campus management in anticipating the occurrence of drop outs through indicators that occur and can predict student drop out rates through the classification process. The highest level of accuracy produced from C4.5 + PSO is around 99.32% with AUC from Naïve Bayes is 0.974 categorized as excellent classification.
Decision Support System For New Employee Recruitment In PT. Prosweal Indomax Using The Simple Additive Weighting Anti Aprianti; Yayatillah Rubiati; Muhamad Renaldi Aripin; Cecep Warman; Dudih Gustian
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 3 No. 1 (2020): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.115 KB) | DOI: 10.52005/ijeat.v3i1.39

Abstract

The eligibility for hiring new employees based on certain criteria that the company expects is something that is very rarely obtained. The acceptance process may result in inaccurate and productive decisions due to inefficient admission processes. There are several criteria in making decisions about the recruitment of new employees at PT. Prosweal Indomax, which is based on latest education, expertise, age and work experience. Purpose made This system is able to help make decisions to determine the optimal recruitment process using the method Simple Additive Weighting (SAW). This method was chosen because this method determines the weight value for each attribute, then is followed by a ranking process that will select the best alternative. The research was conducted by finding the weighted value for each criterion, and then creating a ranking process that would determine which alternative was the best applicant.
PRIORITY PROGRAM SELECTION OF VILLAGE FUND USING THE K-MEANS METHOD Ati Sulastri; Siti Khalifah; Dhea Lestari; Dudih Gustian; Muhamad Muslih; Kirishchieva Irina Rafaelevna
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 3 No. 2 (2020): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1118.891 KB) | DOI: 10.52005/ijeat.v3i2.61

Abstract

The allocation of funds is certainly a big village also demands a big responsibility for the village government. In managing public funds, a public sector organization is required to be able to provide accountable financial reports. To achieve the effectiveness of village financial management, a decision support system is needed to assist village officials in determining which village programs will be prioritized. This research focuses on village programs that use village fund allocations. The purpose of this study is to create a decision support system todetermine priority village fund programs using a web-based kmeans clustering algorithm. The k-means clustering algorithm can perform the modeling process without supervision (unsupervised) and is one of the methods that performs data grouping using the partition system. This is in accordance with the desired end result in the form of grouping the village work program into 3 priority levels, where the village road repair program is included in the high-level priority program in cluster 1, the BUMDES program is included in the medium level priority in cluster 2 and the program for the construction of a reservoir for incoming rainwater. in low priority cluster 3. This research was conducted by considering the aspects of urgency and usefulness developed using the programming language PHP version 5 and MySQL database version 3.2.1.
Broken Road Detection Methods Comparison: A Literature Survey Indra Yustiana; Somantri; Dudih Gustian; Anggy Pradifta Junfithrana; Satish Kumar Damodar
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.75

Abstract

Roads are infrastructure built to facilitate regional development. Good road conditions will certainly provide a sense of comfort for every vehicle that will pass through it. For that, care and attention to road conditions needs to be done. The occurrence of damage to the road will hinder the development process. Currently, detection of damaged roads is still done manually using human resource. It makes the detection process take quite a lot of time to determine how bad the damage is. So there needs a way to help improve time efficiency and accuracy in detecting damaged roads. One of them is by utilizing machine learning technology. In this paper, we will discuss what methodology can be use and their comparisons to be able to use appropriate and effective methodologies to detect cases of damaged roads
MACRO VBA-BASED MAIL SERVICE ADMINISTRATION INFORMATION SYSTEM IN VILLAGES AND SATISFACTION ANALYSIS USING NAÏVE BAYES CLASIFICATION Dudih Gustian; A. Oktian Permana; Sihabudin; Lucas Crammer
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 6 No. 1 (2023): May 2023
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v6i1.81

Abstract

Based on the Law of the Republic of Indonesia Number 25 of 2009 concerning Services, public services must achieve good and clean governance, have less time discipline and tend to slow down the process, as well as a lack of professionalism from employees who are not responsible for their work. In addition to providing benefits and information to the village government, administrative services for research letters also affect quality and performance. The stages that will be carried out in this study include observation, interviews, and literature study from previous research. The Naïve Bayes classification method is used in this study, where the basic calculation is based on the probability of each attribute. If an attribute with a certain class has a value of zero, then the probability of that class will also be zero, and this will affect the final result of the Naïve Bayes calculation. Questionnaire result data is divided into 60% training data, 40% testing data, and 10% validation data. The evaluation results show an accuracy rate of 98.6% for training data, 100% for testing data, and 97.2% for validation data. The comparison shows that there is only a change of 2% after using the mail service administration information system
Quality Assessment of Skincare Products with Simple Additive Weighting Approach to Detect Illegal Skincare Products Dudih Gustian; Ismi Nurhadianti Rusmana; Dede Sukmawan
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 1 (2024): Mei 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i1.105

Abstract

The increasing public need for skincare products encourages manufacturers to innovate in creating products that suit consumer needs. However, with easy access to information in the digital era, new problems have arisen related to the diversity of skincare products on the market, including the rise of fake products containing dangerous ingredients. This research uses the SAW method to evaluate the quality of skincare products based on predetermined criteria. With a large female population in Indonesia and significant growth in online sales of skincare products, this research contributes to helping consumers choose safe and effective skincare products. It is hoped that using the SAW method can identify or reduce the risk of using fake skincare which can endanger skin health and cause serious dermatological problems. Therefore, a thorough understanding of skincare and the use of analytical methods such as SAW are important in the consumer decision-making process
Mapping Research trend in Covid 19 and energy Marina Artiyasa; Marina; Muhammad Natsir; Panji Narputro; Dudih Gustian
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 2 (2024): November 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i2.115

Abstract

This research  delves into the bibliometric analysis of the interconnection between COVID-19 and energy, exploring the scholarly landscape and research trends in these critical areas. By employing bibliometric methods  using biblioshiny to analyze publications, citation networks, and collaboration patterns, this study aims to uncover the impact and visibility of research  from 2020-2023 from scopus index on  keyword COVID-19 and energy. , average citation in document  is 16,54.In H index , We can see that affiliation  Energies. Have highest H index 14, the highest  no of documents belongs to Klemes JJ with 12 documents, We can see that  affiliation  from China university of Petroleum  (East China) have the highest production   article  in year  2023 reach   nearly  20. in this data china have the highest corresponding authors countries , The treemap indicates the most frequently used keywords in articles,in this dataset about covid19 and energy  we  find  Covid 19 and Energy utilization as the   most common word. in emerging or declining themes we find  covid  19, energy utilization and energy efficiency , and in motor themes  we  find human, human  and corona  virus disease 2019 , for basic themes and niche themes is empty
Co-Authors A. Oktian Permana Aan Setiawan Aan Setiawati Aang Hasanudin Acep Saepulrohman Ade Bahrum Adhitia Erfina Aditya Nurfitri Agraeni, Rosalia Agum Taufikurrahman Ahmadi, Muhammad Iqbal Ainaya, Regina Alamsyah, Zaenal Alfaudzan, Adriansyah Muhamad Alia Ahadi Argasah Alun Sujada Ammar Ammar Anak Agung Gede Sugianthara Anang Suryana Anggy Pradiftha Junfithrana Anita Rahayu Annisa Desi Pratiwi Anti Aprianti Arti Hariyanti Ati Sulastri Atika Fauzia Akbari Azkia Aura Shanda Cecep Warman Debby Rahmawati Debby Rahmawaty Dede Irwan Dede Sukmawan Dede Wahidin Dewa Saepurrahman Dewi Destinasari Dharma Saputra Dhea Lestari Dicki Nugraha Dzikril, Tubagus Edwinanto Ekky Noor Mahmudi Elsa Ramadanti Elsa Yulia Rahman Eneng Mia Rizkianti Enti Sulastri falentino sembiring Faridatun Ni’mah Faturrohman Al-Ghozi Fatwa Adib Soetedjo Fauzi Yuni Hastuti Fauziah Nur Octafiani Fuji Apriani Goni, Muhammad Wildan Harry Atmami Heri Firmansyah Imam Faisal Arridzwani Indra Supriadi Indra Yustiana Indriyani Indriyani Ismi Nurhadianti Rusmana Jannah, Gina Raodotul Jelita Asian Jihad Hari Jordan Chan William Kartika, Mila Kirishchieva Irina Rafaelevna Kudin Rustaman LESTARI, BUNGA Lucas Crammer M Dezan Sya’ban S M. Syukron Nawawi M. Yosef Ismatulloh Marina Marina Artiyasa Marina Artiyasa Maryam Nurhasanah Mega Lumbia Sinaga Megasari Putri Meisa Sindriama Rinelda Mia Kurniasari Mochamad Khilmi Mohamad Najib Muahamad Taufik Muhamad Amar Muhamad Renaldi Aripin Muhamad Rivqi Nurridwan Muhamad Salman Al-Farits Muhamad Zaenal Abidin Muhamad Zidane Mustofa Muhamd Ammar Muhammad Alman Firdaus Muhammad Ammar Muhammad Arip Muhammad Arsyad Muhammad Fachreza Faturrahman Muhammad Iqbal Ahmadi Muhammad Natsir Muhammad Wildan Goni Muslih, Muhamad Neng Mira Indri Anggraeni Neng Resti Noviansyah Nunik Destria Arianti Nur Apriyanti Nur Apriyanti Nur Fauza Muhidin Nuraeni Nursyi’ah, Sitiyana Pahmi, Samsul Paikun Panji Narputro Rahayu Awaliyah Rahma, Fanny Ramli, Azizul Azhar Rian Nugraha Rico Sihotang Rifaldi Zulkarnaen Rimalya Widian Rinrin Rinrin Rintho Rante_Rerung Rival Maulana Rosita, Moneyta Dholah RR. Ella Evrita Hestiandari Rudi Heryanto Saepudin, Sudin Salsa Lisna Audina Sarah Sifa Antadipura Sastradipraja, C K Satish Kumar Damodar Seko Lesmana Selsa Khairunisa Fadiya haya Sholihat, Anisa Sihabudin Sihabudin Sihabudin Siti Handayani Siti Hasna Fadhilah Siti Khalifah Siti Mulia Agustina Siti Olis Somantri Somantri Sri Rejeki, Nada Supangat Suratno, Erip Suwanto, Aat Taufik Bahrul Alam Wildan Riswandi Wulan Alinda Wahyumi Yayatillah Rubiati Yoga Vikriansyah Yudi Nata Yudi Nata Yunita Gusti Nurani Yusuf Iskandar Zaid Sulaiman