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All Journal Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Ilmiah Wahana Pendidikan Bulletin of Computer Science Research Brilliance: Research of Artificial Intelligence Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Lentera Pengabdian Jurnal Informatika Ekonomi Bisnis VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian SAINTEK Dedikasi : Jurnal Pengabdian Lentera Explore
Muhtajuddin Danny
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Other

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Sistem Keamanan Kunci Kontak Sepeda Motor Dengan Arduino Menggunakan Metode Bluetooth Pada Smartphone Muhtajuddin Danny; Herdiana Herdiana
Jurnal SIGMA Vol 12 No 3 (2021): September 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Motorbikes at this time are a means of transportation that are in great demand by various groups of people in Indonesia, from the middle to lower class to the upper middle class. Because vehicle ownership in Indonesia is not limited, therefore the number is very large in various provinces from Sabang to Merauke, one of which is Cikarang Kec. Selatan Kab. Bekasi, West Java Province. The number of people who own motorbikes in South Cikarang sub-district can be said to be large with various brands, types and models that offer various advantages, respectively. one of them is the security system on the motorcycle, the security system that the latest version of the motorcycle has is a smartkey However, there are still many motorbikes that do not have this feature, while the ignition is one of the weaknesses of motorbikes. The security system on the ignition of a motorcycle that is easily broken into by thieves, another cause of theft is user negligence or also known as human error. Therefore, a safety system for motorcycle contact locks is needed to prevent theft. In this study, the author intends to provide a solution to overcome the problem of motorcycle theft using an Arduino system that is connected to a smartphone.
Perancangan Sistem Informasi Warehouse Berbasis Visual Basic 6.0 Muhtajuddin Danny
Jurnal SIGMA Vol 12 No 1 (2021): Maret 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The rapid technological development of today has caused a very wide impact for various aspects of human life. One such impact is the increasing need for information. The increasing need for information is marked by the increasingly widespread media that provides more accurate information. This study aims to assist the Design of Information Systems Warehouse Based Visual Basic 6.0. Excellence inventory information system designed is able to store all inventory transaction data quickly, error free and can produce information. Inventory information system is made using Visual Basic 6.0 language with database system using Microsoft Access. This system serves to regulate the flow of goods in and out. After the creation of inventory information system application, it is concluded that the method of computer-based information system is very profitable for the company, because in addition to saving, stored data more secure. Keywords: Information System, Stock, database, Visual Basic 6.0.
Analisa Terhadap Penerimaan Dan Penggunaan Perpustakaan Digital Berdasarkan Pendekatan Utaut : Studi Kasus Perpustakaan STMIK MIC CIKARANG Muhtajuddin Danny
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Digital Library is a product of the integration of the progress of Information and Communication Technology (ICT), which provides scientific information to library users. Site www.mic.ac.id/lib is STMIK MIC library CIKARANG which has been providing digital library services. This study aims to assess the behavior of library users STMIK MIC CIKARANG based on the factors that influence the approach to Unified Theory of Acceptance and Use of Technology (UTAUT), using analysis of Structural Equation Modelling (SEM) by Analysis of Moment Structure (AMOS) as a software data processing applications. This study uses a quantitative approach Explanative survey method. The student population is STMIK MIC CIKARANG. Sampling using purposive sampling, with as many as 118 respondents evaluated through a questionnaire. In the partial test showed that the variables Behavioural Intentions has a positive and significant correlation with Behavovioural Use (p-value <0.05). While Performance Expactancy, Social Influence, Facilitating Conditions did not have a significant correlation with Behavioural Intentions. Keywords: Digital Library, UTAUT, AMOS.
Analisis Data Mining Menggunakan Algoritma Naïve Bayes Dalam Memprediksi Pembelian Material Plastik Injection (Studi Kasus: PT. Surya Technology Industri) Muhtajuddin Danny
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

To facilitate every decision making in the process of purchasing plastic injection material in the sales department of PT. Surya Technology Industri, which has not been controlled with production or sales to customers, resulting in too much stock and cannot be sold. PT. Surya Technologi Industry, which is engaged in Manufacturing, has more than 400 types of raw materials so that companies find it difficult to predict future needs and what the company needs. The aim of this research is to analyze the data for purchasing plastic injection materials for more accurate and efficient results. Data mining techniques with the Naïve Bayes algorithm method are used in this study to classify so as to produce decisions with probability values and useful rules as input in determining the decision-making process. Of the 1120 datasets on the purchase of plastic injection material, testing was carried out ten times, the distribution of the test with different training data and testing data with the provisions of 10% test data and 90% training data. Based on the results obtained, it shows that the Naïve Bayes algorithm in classifying data on the purchase of plastic injection materials using the Rapid Miner tools has the highest accuracy, precision and recall values, namely testing at the proportion of 90% (1008 data) training and 10% (112 data) testing using cross validation 10-fold with 88.93% accuracy, 92.88% precision and 87.77% recall. This shows that the Naïve Bayes algorithm has a fairly good performance in making predictions so that it can be implemented for the decision- making process for the company. Keywords : Naïve Bayes Algorithm, Data Mining, RapidMiner, Classification
Implementasi Sistem Monitoring Absensi Berbasis Rfid Proxymity Muhtajuddin Danny
Jurnal SIGMA Vol 11 No 3 (2020): September 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The fact is that there are still many companies that use manual attendance records, that is, by using an attendance record at the time of entry and completion of work time. Reducing efficiency and company accuracy in optimizing their productivity This final project aims to design a prototype of an RFID attendance system that is integrated with a database to support the employee disciplinary attitude improvement program as the first step in improving the overall work performance of the company. This prototype RFID attendance system consists of several main components, namely tags that will be used as a substitute for ID cards and readers that are used to read information regarding employee attendance, database integration in this system will allow data to be stored automatically into the database. The result of this final project is a prototype of an RFID attendance system that has a function to store employee attendance data, with a maximum reading distance of 2 cm with a chance of success of 1 and a minimum reading interval of 2 seconds to perform its function optimally. Keywords: RFID, absence, otomatically
Algoritme Multinomial Naïve Bayes Pada Aplikasi Chatbot Layanan Informasi Berbasis Teks Asep Muhidin; Muhtajuddin Danny; Elkin Rilvani
Progresif: Jurnal Ilmiah Komputer Vol 19, No 1: Februari 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i1.1113

Abstract

The existence of Customer Service (CS) officers whose number is not balanced with the number of students served, has resulted in a decrease in the level of satisfaction with campus services. This study aims to create a chatbot application that can help with CS tasks. This text-based chatbot application was created using a Natural Language Processing (NLP) approach and a Machine Learning algorithm. NLP is used to process a text question from the user, while the MultinomialNB machine learning algorithm is used to find the appropriate data. If found, the system will answer the question based on the label obtained from the machine learning model. The dataset used as Chatbot training data is in the form of data on questions that are often asked by students in the CS section, and 120 questions in the questionnaire which are divided into 10 labels or classes. The test is carried out using 60 conversations that are different from the dataset but have the same purpose. From 60 chatbot conversations, 50 conversations answered correctly and 10 conversations were wrong. The test results show good results, namely having a modeling accuracy of 98% and 84% test data.Keyword : Chatbot; Natural Language Processing; Machine Learning; Supervised Learning; Multinomial Naïve Bayes. AbstrakKeberadaan petugas Customer Service (CS) yang jumlahnya tidak berimbang dengan jumlah mahasiswa yang dilayani, mengakibatkan tingkat kepuasan pelayanan kampus menjadi berkurang. Penelitian ini bertujuan untuk membuat aplikasi chatbot yang bisa membantu tugas CS. Aplikasi chatbot berbasis teks ini dibuat dengan pendekatan Natural Language Processing (NLP) dan algoritme Machine Learning. NLP digunakan untuk memproses sebuah pertanyaan teks dari pengguna, sedangkan algoritma machine learning MultinomialNB  digunakan untuk mencari data yang sesuai. Jika didapatkankan maka sistem akan menjawab pertanyaan tersebut berdasarkan label yang didapatkan dari model machine learning. Dataset  yang digunakan sebagai data latih Chatbot berupa data pertanyaan yang sering ditanyakan mahasiswa di bagian CS, dan 120 pertanyaan dalam kuisioner yang dibagi kedalam 10 label atau kelas. Pengujian dilakukan dengan menggunakan 60 percakapan yang berbeda dengan dataset tetapi mempunyai maksud yang sama. Dari 60 percakapan Chatbot berhasil menjawab dengan tepat sebanyak 50 percakapan dan jawaban salah sebanyak 10 percakapan. Hasil pengujian menunjukkan hasil yang baik yaitu mempunyai akurasi pemodelan 98% dan data test 84%.Kata kunci: Chatbot; Natural Language Processing; Machine Learning; Supervised Learning; Multinomial Naïve Bayes.
Sistem Pendukung Keputusan Pemilihan Hotel Di Jakarta Dengan Menggunakan Algoritma Naïve Bayes Muhtajuddin Danny; Agus Safarudin
Jurnal SIGMA Vol 10 No 3 (2019): September 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Jakarta has a nickname of a metropolitan city, but many residents are still confused about choosing a place to stay or just stop by as a place to rest. To determine the decision, the writer implements the Naïve Bayes algorithm. So that with the decision support system using the Naïve Bayes algorithm the writer can be sure and made easier in determining hotel selection in Jakarta. Keywords: Sistem Pendukung keputusan, Decision Support System, Naïve Bayes
Teknologi Big Data Untuk Keamanan Iot (Internet Of Thing) Muhtajuddin Danny; Nurhadi Surojudin
Jurnal SIGMA Vol 13 No 4 (2022): Desember 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Big data is a collection of processes from larger and wider volumes of data accurately or inaccurately and can be used to assist in an activity in a company or business. Big data is the development of a database system in general or in general. In distinguishing big data, namely the speed, volume, and type of data that can be available more and varied from the DBMS (Database Management System) in general or in general. Internet of Things or better known as IoT. This technology has driven rapid progress in various sectors. However, IoT can be an easy target for cyberattacks. The widespread adoption of IoT means that we will be familiar with finding intelligent devices connected to the Internet. This exploit threat includes network scan, remote code execution, command injection, SQL injection. Meanwhile, the threat of password attacks takes advantage of the fact that many IoT device owners do not change their default passwords. Today's IoT is also no longer only used by botnets to carry out DDoS, but also used by hackers as a source of spreading malware. Keywords : Big Data, IoT, Security, Malware
Penerapan Algoritma Naive Bayes Untuk Pemilihan Keluarga Yang Membutuhkan Bantuan Dalam Program Keluarga Harapan (Pkh) (Studi Kasus Di Desa Karang Asih, Cikarang Utara) Muhtajuddin Danny; Saana Atmaja
Jurnal SIGMA Vol 9 No 1 (2018): September 2018
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstraksi Program keluarga harapan adalah sebuah program pemerintah yg bertujuan untuk meringankan beban keluarga miskin atau hampir miskin dalam hal pangan, dalam implementasinya penerima bantuan ini masih belum optimal dikarenakan masih banyak penerima program keluarga harapan yang belum tepat sasaran. Desa Karang Asih yang terletak di Cikarang Utara, menjadi obyek penelitian ini, dengan penduduk Desa Karang Asih yang terletak di Cikarang Utara dapat dijadikan model, dengan penduduk sebanyak 60.543 jiwa, dimana hampir 9% atau 5.448 jiwa pada kondisi dibawah harapan hidup atau RTSM (Rumah Tangga Sangat Tidak Mampu) yang membutuhkan ulurantangan pemerintah agar anak anak usia sekolah tidak putus sekolah. Data mining dapat dipakai untuk mempermudah mengatasi masalah yang belum optimal maka metode klasifikasi mampu menemukan model yang membedakan konsep atau kelas data dengan tujuan untuk dapat memperkirakan kelas-kelas dari suatu objek yang labelnya tidak diketahui oleh sebab itu, Algoritma Naive Bayes dapat memprediksi peluang dimasa depan berdasarkan pengalaman dimasa sebelumnya. Penelitian ini mengambil data sebanyak 70 data dan sebuah data uji dengan menggunakan 6 kriteria yaitu : Status PKH, Jumlah tanggungan, Kepala rumah tangga, Kondisi rumah, Jumlah penghasilan, dan Status pemilik rumah. Dari hasil pengujian sebanyak 70 sampel menunjukan 3,5% tidak layak menerima program keluarga harapan Kata kunci: Program Keluarga Harapan, Algoritma Naive Bayes
Sistem Informasi Seleksi Karyawan Berbasis Web Pada PT. Kiyokuni Technologies Lestari; Muhtajuddin Danny; Amali
Jurnal SIGMA Vol 14 No 2 (2023): Juni 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

With the development of information technology and the need for human resources in a company. Therefore we need an information system that can facilitate the company in the process of recruitment and selection of employees. PT. Kiyokuni Technologies is a company engaged in the field of electronic parts which is a growing company. Currently the employee selection process is still carried out in writing and using paper. This raises several problems such as applicant data that accumulates, is easily lost and damaged, it takes a long time to carry out the employee selection process and when selecting the HR department, it often encounters problems in determining the results of the selection decisions made by applicants. This research resulted in an employee selection information system design using the waterfall method and Unified Modeling Language (UML) diagrams that can be used as a basis for implementing the employee selection information system to be used as a solution in solving existing problems. Keywords: Employee Selection Information System, UML, Waterfall.
Co-Authors . Ermanto Aditya Eka Sukma Agus Safarudin Agus Suwarno, Agus Ahmad Turmudi Zy Amali Amali, Amali Amat Damuri Andri Firmansyah Andriani Arif Susilo Arwan Sulaeman, Asep Arwan, Asep Asep Muhidin Asep Muhidin Asep Muhidin Astuti, Retno Fitri Butsianto, Sufajar Daimin Daimin Donny Maulana Edi Tri Triwibowo Edi Tri Wibowo Edora Edora, Edora Edy Widodo Elkin Rilvani Ermanto Ermanto Ermanto Fikri, Chairul Hasidin Herdiana Herdiana Herdiansyah, Muhammad Ferdi Hidarini, Silviana Fitria Hutauruk, Basar Maringan Iwan Mulyana Jamal, Akhiratul Khoiriyah Khoiriyah Khris Phasarilla, Dutha Lestari Maringan Hutauruk, Basar Maulana, Donny Mugiarso Muhamad Fatchan muhidin, asep Nadya Fadhilah Naya, Candra Nugroho, Agung Nurhadi Surojudin Nurhadi Surojudin Pamungkas, Panji Putra Pratama, Suria Priana, Firzi Cahya Priyo, Basuki Edi Putri Nurhafenda Harun Rahman, M. Aufi Rasim Reza Suryadi Gunawan Rita Hardianti Saana Atmaja Sariman Rio Permadi Setyawan, Wisnu Subkhan Fadilah Suherman Suherman Surojudin, Nurhadi Suryadi, Dikky Syahlan Sugiarto Syaiful Umam Taufik Hidayat Triwibowo, Edi Wachid Hasyim, Wachid Wahyudi Wahyudi Wiyanto - Yoga Pratama, Evan Zaenal Abidin, Zihan Zihan Abidin