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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JSI (Jurnal sistem Informasi) Universitas Suryadarma Journal of Innovation Research and Knowledge Indonesian Journal of Science, Technology, and Humanities Journal of Informatics and Information Security
Andy Achmad Hendharsetiawan
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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SISTEM PENUNJANG KEPUTUSAN PEMILIHAN PENGAJAR TERBAIK MENGGUNAKAN METODE TOPSIS PADA TK.BINA MULIA CIBITUNG Muhammad Khaerudina; Andy Achmad Hendharsetiawan; Dedi Setiadi; Noor Muhammadi; Noor Permadi
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10, No 2 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i2.1073

Abstract

Taman kanak-kanak (TK) Bina Mulia Cibitung bergerak dibidang pendidikan anak usia dini. Pendidikan adalah usaha sadar dan terencana untuk menciptakan suasana dan proses belajar agar peserta didik dapat mengembangkan potensi dirinya sejak dini. Tugas pendidikan sangat penting sebagai salah satu faktor pendorong dalam pembangunan sumber daya manusia dengan tujuan meningkatkan kapasitas masyarakat untuk mengembangkan ilmu pengetahuan. Guru atau tenaga pengajar terbaik memang sangat berpengaruh terhadap perkembangan serta kemajuan didalam dunia pendidikan. Dan yang jadi penentu dalam pemilihan pengajar terbaik biasanya dilihat dari beberapa faktor, misal kerajinan, kedisiplinan dan lain sebagainya, namun dengan cara tersebut kurang begitu efektif karena tidak bisa dipertanggung jawabkan terkait keakuratannya. Penelitian ini bertujuan untuk penentuan pengajar terbaik pada dengan menggunakan sistem pendukung keputusan sebagai metodenya yaitu TOPSIS (Technique For Others Preference by Similarity to Ideal Solustion). Hasil penelitian ini menunjukan bahwa penggunaan metode TOPSIS dapat digunakan  untuk memudahkan menentukan pengajar terbaik dengan akurat. Kata Kunci : SPK, pengajar terbaik, TOPSIS
SISTEM INFORMASI LAPANGAN FUTSAL DENGAN ALGORTIMA ANTREAN (FCFS) BERBASIS WEBSITE Mayadi, Mayadi; Rakhmi Khalida; Prio Kustanto; Andy Achmad Hendharsetiawan
Journal of Innovation Research and Knowledge Vol. 4 No. 9: Februari 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v4i9.9673

Abstract

As time goes by, the development of information systems is increasingly enhanced by the advancement of sophisticated technology. Information systems are based on human needs to store and process information more effectively and efficiently. Sports that are currently popular, such as futsal, have garnered significant interest. Futsal is a sport played by five players one achteam,withtheo bjective of scoring goals by manipulating theball. Thegrowing demand for futsal fields has led to the need for a booking and scheduling system, where customers orpotential futsal players must visitthe location inperson to makea booking, which consumes time and costs. Before making abooking, customers must first check the availability of the field on the desired day and time, a process that is still done manually by going to the venue. Online booking is the process of arranging reservations for products or services. It involve screating amethodo fordering (forplaces,goods,etc.)tootherswhilebeingconnected to the internet. Therefore, online booking can be defined as the reservation of products or services conducted through an internet connection. To maximize the online booking system, the First Come First Serve algorithm is required to aid in the effective creation of the online booking system. The First Come First Serve (FCFS) algorithm is the simplest scheduling algorithm used by CPUs. Hence, the author has chosen the title “Design of the JB Futsal Booking System Using the First Come First Served (FCFS) Algorithm.”
Perancangan Aplikasi Presensi Berbasis Website Menggunakan Algoritma Convolutional Neural Network (CNN) Pada SMKN 4 Bekasi Ronggo Sadewo; Andy Achmad Hendharsetiawan
Journal of Informatic and Information Security Vol. 4 No. 2 (2023): Desember 2023
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/p1t41v15

Abstract

This research designs and implements a web-based attendance application using the Convolutional Neural Network (CNN) algorithm at SMK Negeri 4 Bekasi. The aim is to address common issues in manual attendance processes, namely, lack of efficiency and accuracy. The methods employed include designing a responsive website interface, implementing the CNN algorithm for facial recognition, and configuring an efficient data management system. Evaluation encompasses attendance accuracy, operational efficiency, and application responsiveness in real-world school environments. The research findings indicate that the web-based attendance application utilizing the CNN algorithm offers an effective solution for attendance recording at SMK Negeri 4 Bekasi.
Sistem Informasi Penjualan Barang Berbasis Website Dengan Algoritma Collaborative Filtering Di CV. Anjas Konveksi Bekasi Akmal Maulfi Anwar; Andy Achmad Hendharsetiawan
Journal of Informatic and Information Security Vol. 4 No. 2 (2023): Desember 2023
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/b93jpa53

Abstract

CV. Anjas Group Indonesia and its subsidiary, Anjas Konveksi, are business entities that focus on the production and sale of clothing such as t-shirts, shirts, jackets, and the like. The availability of various products often confuses some customers in making choices that suit their desires. To overcome this, a recommendation system is needed that can help customers find products that match their preferences, facilitating the buying process. In this research, the Item Based Collaborative Filtering approach is used, which aims to find similarities between the purchasing patterns of one product and another (item similarity). The system will look for similarity values between products based on cosine similarity. After getting the rating value between products, the Item Based Collaborative Filtering method will be used to provide recommendations to customers according to their preferences.
Perancangan Sistem Booking Lapangan Badminton Berbasis Web Menggunakan Algoritma  First In First Out Muhammad Imron Yusup; Tri Dharma Putra; Andy Achmad Hendharsetiawan
Journal of Informatic and Information Security Vol. 4 No. 1 (2023): Juni 2023
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ymybg645

Abstract

Badminton is a sport that is in great demand by people, from children to adults. GOR WGN Sport Center is one of the businesses engaged in badminton sports field rental services located in Bekasi City. In terms of field rental services, they still use the manual method by visiting the location directly, which is less effective. With this lack of information, customers do not know the field rental schedule in real time, so information related to the schedule is urgently needed. For this reason, in leasing the field at the WGN Sport Center Sport Center, an information system related to website-based field rental is needed which will make it easier for customers to find information in the field booking process and field rental schedules in real time. The algorithm used is the First In First Out (FIFO) algorithm. In the FIFO algorithm data buffering is regulated and manipulated based on the fact that the first incoming data will be processed first, that is, in its implementation, the first customer to make a field booking will be served first.
Metode SAW (Simple Additive Weighting) Untuk Pemilihan Karyawan Terbaik Kusdarnowo Hantoro; Andy Achmad Hendharsetiawan; Ajif Yunizar Pratama Yusuf
Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/9jt32f24

Abstract

The purpose of determining the best employees is as an appreciation for employee performance so as to motivate employees to be able to work optimally and be able to survive in the organization for a long time. Although the goal is very simple, however, the process turns out to be very complex, takes quite a long time and costs quite a bit so that this creates the opportunity for errors to occur in determining who is the right person. Especially if the company has employees with abilities that are not much different from other employees, the determination is sometimes very subjective. Actually there are several assessment criteria in the decision-making process for selecting the best employees, namely: an assessment based on the criteria for attendance, loyalty, and tardiness and employee performance. Because it is necessary to build a system that can assist decision making to determine the selection process objectively by using the SAW (Simple Additive Weighting) method.
Framework for the Application of System Thinking untuk Monitoring Inventory Barang pada Toko Koperasi Bina Mulia Cibitung Muhammad khaerudin; Andy Achmad Hendharsetiawan; Suryani, Rani
Journal of Informatic and Information Security Vol. 3 No. 2 (2022): Desember 2022
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2phfjp94

Abstract

The Bina Mulia cooperative store sells school books and stationery. Information about the inventory of goods in the store is recorded, requests for goods, processes goods out and reports are made without a computerized system, resulting in errors in searching for the required data. The best solution to solve existing problems is to create a web-based inventory system. Constructed information system with FAST method and system design with UML. With the existence of an information system that is made it can make it easier to get information related to transactions. On the main web page there is graphic info that shows the stock of goods making iteasier to monitor available goods. Printing reports on goods received and issued at the store can be done easily by accessing a menu that is easy to find on the system display.
Digital Reporting System for Product Quality Using Normal Distribution and EWMA Control Chart Handayani, Dwipa; Andy Achmad Hendharsetiawan; Muhammad Yasir
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 2 (2025): September 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i2.11611

Abstract

The collection and reporting of product quality at CV. Sinar Agung Teknik is still done manually, which is time-consuming, inefficient, and prone to errors. This study aims to digitize the reporting process to improve efficiency, accuracy, and speed up information distribution between departments. The system developed uses a normal distribution algorithm in product quality data analysis because it is in line with the characteristics of quantitative data that is distributed close to normal. The research stages include needs identification, form digitization, statistical analysis integration, and employee training. The results of the implementation show that the product quality reporting digitization system is capable of improving the accuracy of analysis, speeding up reporting, reducing human error, and increasing operational efficiency, with positive feedback from users regarding its ease of use and benefits in quality data management.  
Sistem Penilaian Kinerja Guru Dengan Regresi Linier: Studi Kasus TPA Al-Husna Muhammad Dicky Alfaridzi; R.Wisnu Prio Pamungkas; Andy Achmad Hendharsetiawan
Indonesian Journal of Science, Technology and Humanities Vol. 3 No. 2 (2025): IJSTECH - October 2025
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/ijstech.v3i2.1585

Abstract

Penilaian kinerja guru merupakan aspek penting dalam meningkatkan kualitas pembelajaran di Taman Pendidikan Al-Qur’an (TPA). Namun, proses evaluasi di TPA Al-Husna masih dilakukan secara manual, sehingga hasilnya sering tidak objektif, kurang terdokumentasi, dan menyulitkan dalam pengambilan keputusan. Penelitian ini bertujuan merancang dan membangun sistem informasi berbasis web untuk penilaian kinerja guru menggunakan algoritma regresi linear berganda. Metode penelitian yang digunakan meliputi observasi, wawancara, serta pendekatan pengembangan perangkat lunak model Waterfall. Sistem yang dikembangkan memiliki tiga level pengguna, yaitu admin, kepala sekolah, dan guru. Algoritma regresi linear berganda diterapkan dengan empat variabel penilaian (pedagogik, profesional, sosial, dan kepribadian) untuk menghasilkan prediksi kinerja yang terklasifikasi ke dalam kategori “Layak”, “Perlu Evaluasi”, dan “Belum Layak”. Hasil pengujian black box menunjukkan seluruh fungsi berjalan sesuai kebutuhan, sementara antarmuka sistem memudahkan pengguna dalam melakukan input, pengolahan, serta pelaporan data. Kesimpulannya, sistem ini mampu meningkatkan efisiensi, objektivitas, dan transparansi dalam penilaian kinerja guru, serta dapat menjadi dasar pengambilan keputusan yang lebih akurat di lingkungan TPA
Co-Authors Ajif Yunizar Pratama Yusuf Akmal Maulfi Anwar Dedi Setiadi Dwipa Handayani Hantoro, Kusdarnowo Kustanto , Prio Mayadi, Mayadi Muhammad Dicky Alfaridzi Muhammad Imron Yusup Muhammad Khaerudin Muhammad Yasir Noor Muhammadi Noor Permadi R.Wisnu Prio Pamungkas Rakhmi Khalida Ronggo Sadewo Suryani, Rani Tri Dharma Putra