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All Journal International Conference on Engineering and Technology Development (ICETD) Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Ilmiah Sinus bit-Tech Jurnal Informatika Ekonomi Bisnis Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal Automation Computer Information System (JACIS) Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Journal of Practical Computer Science (JPCS) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Mandiri Universal Raharja Community (URNITY Journal) Jurnal Lentera Pengabdian Jurnal Informatika Ekonomi Bisnis Proceeding Mercu Buana Conference on Industrial Engineering Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Riwayat: Educational Journal of History and Humanities International Journal of Applied Research and Sustainable Sciences (IJARSS) International Journal of Sustainable Applied Sciences (IJSAS) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian SAINTEK International Journal of Integrated Science and Technology EduBase: Journal of Basic Education
Muhamad Fatchan
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering 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 Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Prediksi Kelulusan Siswa Dengan Pendekatan Algortma C5.0 Pada SMAN 2 Cikarang Selatan Putri Nabila Amir; Muhamad Fatchan; Edora Edora
Jurnal Teknik Informatika UMUS Vol 5 No 1 (2023): Mei
Publisher : Universitas Muhadi Setiabudi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46772/intech.v5i1.1278

Abstract

Penelitian yang berjudul "Prediksi Kelulusan Siswa Dengan Pendekatan Algortma C5.0 Pada SMAN 2 Cikarang Selatan". Penelitian ini bertujuan untuk menerapkan metode Decision Tree C5.0 dalam memprediksi kelulusan siswa Sekolah Menengah Atas (SMA). Data kelulusan siswa dari SMA Negeri 2 Cikarang Selatan digunakan untuk membangun model prediksi kelulusan siswa. Metode Decision Tree C5.0 berhasil menghasilkan model prediksi dengan tingkat akurasi 100%. Model ini dapat mengidentifikasi siswa yang berisiko tinggi untuk tidak lulus, sehingga tindakan perbaikan yang tepat dapat diambil. Model Decision Tree C5.0 juga memberikan interpretasi aturan keputusan yang dapat digunakan oleh sekolah dan tenaga pendidik. Penelitian ini memberikan sumbangan penting bagi dunia pendidikan dengan meningkatkan efektivitas pengambilan keputusan di bidang pendidikan. Penerapan metode Decision Tree C5.0 dalam memprediksi kelulusan siswa membantu sekolah untuk mengidentifikasi siswa yang membutuhkan perhatian khusus. Dengan tingkat akurasi 100%, model ini dapat membantu meningkatkan kualitas pendidikan dan memastikan kesuksesan siswa dalam menyelesaikan pendidikan menengah atas.
Prediksi Jumlah Kasus Klaim Indemnity Dengan Menggunakan Algoritma Regresi Linear Pada Asuransi Mandiri Inhealth Qori yumansyah Qori; Ahmad Turmudi Zy; Muhamad Fatchan
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.733

Abstract

Insurance is a type of financial institution that aims to provide guarantees to customers against risks that may occur in the future. In this study, by utilizing some data on indemnity claim cases on inhealth insurance through a prediction method approach and can be applied in analyzing data to make predictions of future insurance data based on the level of need. The prediction process of a simple Linear Regression algorithm can be implemented where the results also provide new insights for the prediction needs of claim data. Tests using rapidminer produce performance that is relevant to the scenario being modeled. The simple Linear Regression equation model after comparing the results of calculations manually and also with the Rapid Miner application generally shows the same data. The RMSE value is also obtained when evaluating the performance of the applied model, with an RMSE value of 0.273 with a standard deviation of +- 0.0.
Penerapan Algoritma K-Medoids Dalam Klasterisasi Penjualan Laptop Abizar Ar Rifa’i Rifa’i; Muhamad Fatchan; Nanang Tedi Kurniadi
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.147158

Abstract

Technological developments have made the use of laptops a basic necessity that must be owned to assist in completing a job as a substitute for a PC (Personal Computer). Along with technological advances, many laptop brands have sprung up, from each brand to launch laptops with various advantages. This has resulted in more and more emerging various types of laptop brands that compete with each other to be able to meet the needs of today's consumers. Therefore there must be a system that can provide advice or laptop recommendations in searching for references. This study aims to classify laptop sales data using the k-medoids clustering algorithm data mining method. laptop sales data are grouped based on the similarity of the data so that data with the same characteristics will be in one cluster. Based on the calculations that have been carried out by researchers on 1000 sample data, it can be categorized into 3 clusters. cluster 1 is a category of low laptop sales, which is 137 data, then cluster 2 is a category of high laptop sales, which is 669 data, and cluster 3 is a category of medium laptop sales, which is 194 data from 1000 categories of laptop sales. It can be concluded that the grouping of laptop sales data in cluster 2 is the most widely sold because the specifications and prices of laptops are more affordable than cluster 1 and cluster 3. And it has been tested using the Rapid Miner application with the same results as manual calculations using Microsoft Excel. Keywords: K-Medoids, Clustering, Laptop Sales
Rancang Bangun Sistem Informasi Sekolah Berbasis Website (Studi Kasus : SDIT Azzhahiriyah) Naufal Muyassar; Wahyu Hadikristanto; Muhamad Fatchan
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The progress of science and technology at this time shows that speed, convenience, and security are the main considerations and benchmarks in facing global challenges. Information systems must be able to be effective and efficient in providing a series of information flow processes to improve the quality and quantity and satisfaction of clients or work partners. "Designing Website-Based School Information System (Study: SDIT Azzhahiriyah)" is a problem that exists in schools, namely the provision of information from schools to the community. The purpose of this research is to make it easier to disseminate school information in disseminating information from the school side and school activities, see contacts or contact schools. In the design the author uses phpmysql and xampp. This manufacturing process uses the waterfall method. This research shows that the existence of a website-based information system will make it easier to find out school information. Keywords: Design, Information System, Waterfal, Website
Sistem Informasi Pemesanan Kelompok Wisatawan Pada Green Valley Waterpark [PT.NAS] Rindiani Tri Lestari; Muhamad Fatchan; Annisa Maulana Majid
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Green Valley Waterpark is one of the recreational areas in the city of Purwakarta. The construction of an online group ordering information system aims to help expand marketing and help staff find data easily. This website system was built using CodeIgniter 4. The research method used is waterfall. The test method used is BlackBox. The information system that has been built will provide information that has been inputted by the staff, such as rides, facilities, the latest activities. And can manage tourist data to tourist group booking data. In addition, the tourist group booking information system will also display a booking report that has been input based on staff needs. This information system makes it easy to get information for potential tourists who want to visit Green Valley Waterpark. Tourists can view activities, route information, rides and facilities available online, place an online order by logging in first in order to place an order. and staff can manage data - information data quickly and accurately. Keywords: Information Systems, Booking, Tourism, Waterfall, CodeIgniter 4
Sistem Informasi Peralatan Gardu Induk berbasis Web Bagus Dwi Saputro; Edy Widodo; Muhamad Fatchan
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

This research is motivated by the lack of supporting facilities to facilitate work in PLN institutions. PT. PLN (Persero) is a state-owned company engaged in electricity. In the structure of PLN there is a section called the Substation. Based on the survey results, there is one obstacle experienced by the PLN Substation, namely the process of storing tool data and documents that have not been structured and are still stored manually. This deficiency has an impact on the process of searching for data or documents, so that the search is not efficient and effective. Therefore, this research was made aiming to help facilitate the work of PLN Substation employees in terms of storing equipment and document data. The purpose of this research is to develop and improve the existing system so that it becomes a program that is efficient, fast, precise, easy to operate and has high mobility. The program to be built is entitled "Web-Based Substation Equipment Information System". As the title implies, this program is a web-based program. The need for data storage or database to be used is MYSQL. With this application we hope to help and simplify the work and improve the quality of the agency concerned. Keywords: Substasion, Information systems, Website, PLN
PREDIKSI HARGA LOGAM MULIA DENGAN PENDEKATAN ALGORITHMA NAÏVE BAYES DAN PSO Sri Indriyani; Muhamad Fatchan; Andri Firmansyah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 1 (2023): EDISI 15
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i1.2230

Abstract

Gold is a yellow precious metal that is malleable and can be formed with high value. Gold is an exchange rate that was used in ancient times before money existed as it is today. Gold can also be used as a gold investment which can be profitable and has little risk. Currently, gold is divided into two types, namely gold for jewelry and gold for investment. Investing in gold is investing in gold stocks or gold futures. Naive Bayes Algorithm The Bayesian classifier is a statistical classifier and is based on Bayes' theorem. From the test results, the sample data presented were 120 data, then the results of the gold data stated the level of accuracy, recall and precision naïve Bayes, the accuracy rate was 84.17%, Recall was 84.21% and Percision was 82.76%.  
Utilizing Clustering Methods for Categorizing Delivery Requirements Based on Analysis of E-Commerce Product Data Sugiarto, Jumat Azzam; Suprapto; Fatchan, Muhamad
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1969

Abstract

This study presents the implementation of the K-Means algorithm model, revealing novel insights into risk categorization in the delivery process. Two distinct clusters were identified: Cluster 1 (C0) indicating high risk, comprising 53 data points out of a dataset of 360, and Cluster 2 (C1) indicating low risk, encompassing 307 data points from the same dataset. Analysis conducted using RapidMiner Studio corroborated these findings, further delineating the cluster membership: C0 with 53 data points and C1 with 307 data points. Each cluster was characterized by optimal centroid values, recorded at 131.717 & 385.075 for C0, and 119.932 & 111.414 for C1. The model's effectiveness was assessed using the Davies-Bouldin Index, yielding a value of 0.626.
Design and Development of An Information System for Indemnity Claim Box Recapitulation Using SDLC Method at Mandiri Inhealth Insurance Yumansyah, Qori; Fatchan, Muhamad; Turmudi Zy, Ahmad
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1970

Abstract

The recapitulation of indemnity claim box system is an ongoing procedural development activity aimed at producing a new system. This activity is undertaken once the system analysis phase has been completed. Based on the results of the current system analysis discussed in the previous section, this paper presents the outcomes of the new system. The performance of the new system is expected to address several issues related to claim data recapitulation. The design of the Indemnity Claim Box Recapitulation system can be applied to reduce the potential for missing documents, simplify reporting, and ensure easy, fast, and accurate access. Implementation testing can assist users and leaders in the claim data recapitulation process.
Sistem Informasi Inventori Gudang untuk Mengontrol Persediaan Barang pada Gudang Studi Kasus: PT. LG Indonesia Doni, Muhamad; Fatchan, Muhamad; Hadikristanto, Wahyu
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 4 (2023): OCTOBER-DECEMBER 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i4.1809

Abstract

A system is defined as a combination of various components that are interrelated and work together, forming a unity with the aim of achieving certain targets of the system. The use of Model-Driven Web Engineering was chosen because this method is an effective basis for system development. Model-Driven Web Engineering provides developers and users with a clear view of how the system works and the developments that will be carried out. A stock system can be designed and implemented in the administration of PT LG Indonesia. Data storage in the system has been integrated with a database, enabling the inventory system to help PT LG Indonesia to reduce the potential for data loss and damage. Apart from that, fast and accurate access to data reports is also one of the advantages of this system.
Co-Authors . Ermanto . Suratman Abdul Halim Anshor Abdul Hasyim Abizar Ar Rifa’i Rifa’i Afriantoro, Irfan Agus Suwarno, Agus Aguswin, Ahmad Ahmad Turmudi Zy al fiyan Alfarizi, Muhammad Farhan Andri Firmansyah Andrian Andrian Andriani Andriani Anisa Rahmawati Annisa Maulana Majid Aprila Hardi, Resty Apriyandi M Ardimansyah Ardimansyah Ariza, Rini Asep Hidayat Asep Suprianto Ayu Fitriyani Aziz, Faruq B.M.A.S. Anaconda Bangkara Bagoes Ramadhan Bagus Dwi Saputro Butsianto, Sufajar Clarita, Anggita Risqi Nur Dahyoung Yenuargo Darmawan, Steven Ryan Dendy K. Pramudito Doni, Muhamad Edora Edora Edora Edy Widodo Edy Widodo Edy Widodo Edy, Sarwo Edy Elkin Rilvani Endah Yaodah Kodratilah Fadhillah, Faizah Via Faris Muzaki, Moch. Nauval Fauziah , Sifa Firmansyah Putra, Dandy Fitriani Hadiansyah, Zikri Halim Anshor, Abdul Hari Sugeng Hendra Lesmana Herdyanto, Febro Hidayat, Chaerul Indra Permana, Indra Indradewa, Rhian Irfan Afriantoro Irsyad Syhruddin Jamroni, A. Reza Baehaqa Jamroni Linda Marlinda Listanto, Firgiawan Marayasa, I Gde Bayu Priyambada MAULANA, AFFAN Maulana, Donny Muhamad Ekhsan Muhamad Sudharsono Muhtajuddin Danny Najwa Sabilla, Nurul Nanang Tedi Kurniadi Nasution, Annio Indah Lestari Naufal Muyassar Naya, Candra Ngudi Wiyatno, Tri Nuraeniah, Iin Nurhadi Surojudin Nurhaliza, Zahra Nur’Aeni, Nur’Aeni Oktavianto, Rainal Zulian Pakpahan, Wyjentiadi Pengestu, Rayendra Pipin Angela Pratama, Galang Rintang Widya Purwanto Purwanto Putri Nabila Amir Qori yumansyah Qori Ramadhan, Reza Rizky Retno Purwani Setyaningrum Reza Maulana, Muhammad Rika Anugrahaini, Savariana Rindiani Tri Lestari Riyanto, Kuwat Riyanto Rozikin, Zaenur Siti Rahayu Sri Indriyani Sugiarto, Jumat Azzam SUPRAPTO suratman Surya Bintarti Suryadi Tedi, Nanang Tiani Ayu Lestari TITIN SUNARYATI Tri Ngudi Wiyatno Turmudi Zy, Ahmad Valentin*, M Ryan Bagus Wahyu Hadi Kristanto Wahyu Hadikristanto Wahyu Indrarti Widi Winjani Widiyawati , Widiyawati Wiyanto - Yumansyah, Qori Yupita Fitria Riyanti