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All Journal Jurnal Media Infotama ILKOM Jurnal Ilmiah Journal of Information System, Applied, Management, Accounting and Research Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informatika dan Komputer Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Indonesian Journal of Business Analytics (IJBA) Jurnal Informatika Teknologi dan Sains (Jinteks) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Isu Teknologi
Asep Muhidin
Universitas Pelita Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Mechanical Engineering

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Analisis Data Mining Menggunakan Algoritma K-Means Untuk Clustering Penjualan Studi Kasus Dapur Bu Ipung Asep Muhidin; Stefanus Kevin Alfandara
Jurnal SIGMA Vol 13 No 2 (2022): Juni 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Ibu Ipung kitchen is a home industry that is engaged in making donuts located in Perum Cikarang Permai housing. Not only Bu Ipung's Kitchen, there are still quite a few other businessmen who are engaged in similar fields. This research is expected to be useful to help consumers see the products that are not selling well, selling well, and selling very well in the sales of Dapur Bu Ipung. The data collected from 2016-2021 is 570 sales transaction data. The purpose of this study is to group sales data into a cluster using the K-Means Clustering Algorithm Data Mining method. Sales data are grouped based on the similarity of the data so that data with the same characteristics will be in one cluster. So that it can be grouped using the K-Means algorithm into several criteria that are very good, sellable and less well-sold. The cluster that is formed after the K-Means Clustering process is carried out is divided into 3 Clusters Cluster 0 with 9 members with a percentage of 64.28% categorized as Less Selling, Cluster 1 number of members 1 with a percentage of 7.14% is categorized as very popular, and Cluster 2 with a percentage of 4 members with a percentage of 27.57% is categorized as popular, from the clustering process above, DBI validation (Davies Bouldin Index) can be obtained with a value of 0.451. Keywords: : Data mining, Clustering, K-Means, Davies Bouldin Index
Evaluasi Sistem Informasi Pengetesan Panel Dengan Metode Waterfall Di PT. Schneider Electrik Indonsia Asep Muhidin; Andriyana Andriyana
Jurnal SIGMA Vol 12 No 4 (2021): Desember 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

With the increasing market needs since the last few years companies that produce electrical panels LV (Low Voltage), and MV (Medium Voltage). As a large company from France, PTSchneider Electrik Indonesia continues to make improvements in everything, especially in improving its work system, in improving production performance it will always be evaluated both in its work and in its system. In this thesis discusses how to Evaluate the Panel Testing Information System that is able to reduce production errors and reduce delays in work with the Waterfall method and tools for modeling using UML (unifield Modeling Language) and made windows applications developed with vb 2010. The results obtained from a windows application can facilitate quality employees where the panel has been tested or not, no delay in the work or the same panel serial number. And can provide information about errors that occur so that it cannot be repeated. Keywords: data input, UML, Waterfall method
Klasifikasi Penjualan Makanan Cepat Saji Menggunakan Metode Algoritma C4.5 (Studi Kasus : Ayam Penyet Nabila) Asep Muhidin
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The availability of sales data at the Ayam Penyet Nabila outlet is not used as much as possible, so that the sales data is not utilized maximally to find out what foods are most preferred by consumers or best-selling. The purpose of this research is to apply the C4.5 Algorithm method at the Penyet Nabila Chicken outlet and hopefully it can produce a knowledge in the form of a classification of food sales which is most preferred by many customers from existing datasets (in demand and in demand). The method used to classify food sales is C4.5 Algorithm, the process uses the five-step rule in KDD (Knowledge Discovery in Databases), which includes several activities namely selection, preprocessing, transformation, data mining, interpretation and evaluation. Besides making calculations in the form of a manual, I also tested this research using the RapidMiner tool. From the research output looking for decision tree results using the C4.5 Algorithm method the entrophy value is generated and for the highest gain value is 0.463363648 on the Sold Amount attribute in manual calculations. Whereas using the RapidMiner tool generated a decision tree as shown in Figure 4.3 Amount Sold - Price - Menu Name. The results of this study are the best-selling sales of Penyet Chicken, Grilled Chicken, Serundeng Chicken. Research using the C4.5 Algorithm method with the RapidMiner tool has an accuracy value of 86.40%, precision 86.29%, recall of 90.53%. Keywords: C4.5 Algorithm, Data Mining, RapidMiner, Classification.
Kelemahan Metode Enkripsi Message Digest 5 Terhadap Kriptanalisis Modern Asep Muhidin
Jurnal SIGMA Vol 11 No 3 (2020): September 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

This study examines encryption techniques using the MD5 method. So popular is this method that after several decades of its release this method is still often used, even though a year since its release was announced about the potential weaknesses of this method. The discussion of weaknesses in the MD5 method in this study is referring to research conducted by Dobertin H. About the potential errors in this method. This study examines the weakness of encryption techniques using the MD5 method that has been published by other studies before. The results and conclusions in this study can be used as a reference for information system makers to pay attention to the aspect of data security and make modifications in such a way as to prevent the potential weaknesses discussed in this study. Keywords: Cryptography, Data security, MD5, MD5 potential weaknesses
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 Informasi Aplikasi Sewa Gedung Wilayah Karawang Berbasis Android Arif Siswandi; Asep Muhidin
Jurnal SIGMA Vol 13 No 4 (2022): Desember 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Berbagai kegiatan yang dihadiri banyak orang diperlukan tempat yang luas untuk dapat menampung banyak orang, tempat yang sering digunakan adalah gedung. Salah satu kegiatan yang sering menggunakan tempat yang luas seperti gedung adalah acara pernikahan. Mencari gedung yang sesuai untuk acara penting terkadang tidaklah mudah, karena harus mendatangi gedung satu per satu untuk sekedar melakukan survey gedung. Khususnya masyarakat di Karawang, jarak gedung yang satu dengan yang lainnya jaraknya cukup jauh. Mendatangin gedung satu per satu dengan jarak yang berjauhan tidaklah efektif dan efisien, karena hal tersebut dapat memakan banyak waktu dan tenanga. Penulis mencoba memberikan solusi dengan cara merancang aplikasi sewa gedung berbasis android. Diharapkan dengan aplikasi sewa gedung ini dapat membantu masyarakat untuk melakukan survey atau memesan gedung menjadi lebih mudah tanpa harus mendatangi gedung secara langsung. Implementasi aplikasi ini menggunakan software Android studio dengan bahasa pemrograman Kotlin serta database MySQL. Kata Kunci : Android, Kotlin, Penyewaan, Gedung
Sistem Stok Baut Berbasis Desktop Pada PT. Ikoma Echo Robotech Indonesia Hasidin; Muhtajuddin Danny; Asep Muhidin
Jurnal SIGMA Vol 14 No 2 (2023): Juni 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Ikoma Echo Robotech Indonesia is a subsidiary of Ikoma Robotech Coorporation Japan which is engaged in robotics and system integration. In processing inventory data so far, it still uses a simple but computerized system, namely using Ms.Excel software, so that in calculating inventory, it experiences obstacles in the occurrence of errors in calculating the stock of goods in the warehouse. The method used by the author in this research is literature study by reading journals and data from the internet and field studies by taking data directly to PT. Ikoma Echo Robotech Indonesia. The result of this research is to produce an inventory information system that makes it easier for field, engineering and purchasing departments to provide reports to management and help minimize stock calculation error rates. In the inventory system, the author uses the VB application. Net, the report uses Microsoft Sql Server Management programming for data processing. After the researchers created an inventory information system, the authors hope that it can facilitate the work of the parties involved. Keywords: Robotic,VB Net,Stok System
SISTEM APLIKASI KOPERASI KARYAWAN PT SUMBER REZEKI BERBASIS WEB DENGAN METODE RAPID APPLICATION DEVELOPMENT Serta Manullang; Asep Muhidin; Nisa Nurhidayanti
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 7 No 3 (2023): JISAMAR (Agustus 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v7i3.1154

Abstract

In the era This study aims to develop a web-based employee cooperative application system with the rapid application development (RAD) method that can facilitate the employee cooperative management process, such as recording member data, managing deposits, borrowing money, installment payments, and financial statements. The RAD method is used because it allows for fast and efficient system development by involving users in every stage of development. This research was conducted with qualitative and quantitative approaches. Data was collected through interviews with cooperative administrators, employees and cooperative members who are users of the application system. In addition, data was also collected through observations of the employee cooperative system that has been running. The result of the study is a web-based employee cooperative application system that has been developed with the RAD method. This system has features that can help employee cooperatives manage financial activities more efficiently and effectively. With the web-based employee cooperative application system with the RAD method, it is expected to facilitate employee cooperatives so that they can improve the performance and growth of cooperatives. In addition, users of the RAD method in the development of this application system can also provide benefits in the development of application systems in the future.
Aplikasi Absensi Non ASN Berbasis Web Wilianto Wilianto; Asep Muhidin; Abdul Halim Anshor
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4631

Abstract

Presence is crucial in a government institution. With an effective attendance system, it is hoped that it can assist in controlling the task completion process. The Attendance Recording System used in the Public Section applies fingerprint technology. Fingerprint is one of the information technology innovations that makes it easier to record employee activities every day. At this time employees do not take attendance using a fingerprint machine and return to using a manual system. The system is done manually, namely by signing the attendance book that has been provided by the staffing department. The purpose of developing this application is to facilitate, and speed up, employees in taking attendance and managing attendance outside the office. The method used in developing web-based non-ASN attendance applications is the waterfall model. as a structured software approach, starting from the stages of analysis, design, coding, testing, to the support stage. The PHP programming language, Laravel Framework and Database Management System (DBMS) use MySQL. The result of this research is the development of a web-based non-asn attendance application for non-asn employees in the general section of the regional secretariat of Bekasi district
Penerapan Algoritma K-Means Pada Pengelompokan Kabupaten Dan Kota Berdasarkan Jumlah Kendaraan Bermotor Wilayah Provinsi Jawa Barat Arif Siswandi; Asep Muhidin
Jurnal SIGMA Vol 14 No 2 (2023): Juni 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The vehicle is a tool that helps humans in completing work in daily activities. In the current digital era, the number of motorized vehicles is increasing rapidly, of various types and types of vehicles, which are currently developing a lot of digital technology in their features. With the increase in the number of vehicles, the impact on the number of motor vehicle users has increased dramatically, especially for land needs which we can find in big cities in Indonesia, this has an impact on traffic jams, West Java Province which has 27 administrative regions divided into 18 Regencies and 9 Cities are not spared from these traffic jams. Based on the latest data from the West Java Regional Revenue Agency (Bapenda.Jabar) in 2021 there were recorded data of 16,397,644 motorized vehicles. From the results of these data records, data mining methods with the K-Means algorithm can be used to find patterns that contain information that is useful for supporting decision making by parties who need it, such as regional financial institutions in channeling budgets in the infrastructure sector as well as by investors in determining areas to invest in. set up a business. By using the Clustering and Rapid Miner methods, the grouping of regions into 3 regions will result, namely high, medium and small potential areas based on the high mobility of the number of vehicles in the regency and city areas of West Java Province. Keywords: Vehicles, Clustering, K-Means, Rapid Miner
Co-Authors Abdul Halim Anshor Ading Bagus Saputra Ahmad Burhan Andriyana Andriyana Aning Risky Montana Arif Siswandi Butsianto, Sufajar Edi Tri Wibowo Elkin Rilvani Elkin Rivali Enda Suhenda Ermanto Ermanto Ervin Choirul Anwar Fathur Rezki Adha Ghofur Muzzafar Hasidin Iman hidayat Indarwista Baragigiratri Indarwista Baragigiratri Irfan Afriantoro Ishfy Achmed Mahessa Karsito Lisa Kustina Liswanti Liswanti Maulana, Donny Muhamad Casdi2 Muhtajuddin Danny Muhtajudin Danny Nadya Fadhilah Nurhidayanti, Nisa Putri Anggun Sari Rudi Alfianto2 Serta Manullang Stefanus Kevin Alfandara Wilianto Wilianto