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Ultimate Solution Of Saw Dan Topsis Web-Based Methods For Scholarship Recipients At The Foundation Aldiana Nusantara Taryo, Taswanda; Makhsun, Makhsun; Rizaldi, Devan; Sunarsi, Denok; Hamsinah, Hamsinah
Pasundan Social Science Development Vol. 5 No. 2 (2025): Pasundan Social Science Development (PASCIDEV)
Publisher : Doctoral Program of Social Science Pasundan University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56457/pascidev.v5i2.205

Abstract

The role of information systems is currently crucial in various fields, including education and Yayasan Aldiana Nusantara (YAN), which supports many students from low to middle economic backgrounds, faces challenges in selecting scholarship recipients for financially disadvantaged students. To assist in making accurate and swift decisions, a computer-based Decision Support System (DSS) is required. This study aims to design a web-based DSS using the Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. This system was designed to assist Yayasan Aldiana Nusantara - YAN in selecting scholarship recipients based on criteria, such as, grade level, scholarship recipient status, father's income, mother's income, report card grades, and the number of extracurricular activities. The SAW method is used for weighting criteria, while the TOPSIS method is used to rank alternatives based on their proximity to the ideal solution. The system design follows the waterfall model, comprising analysis, design, implementation, and testing phases. The DSS is developed using PHP programming language and MySQL Database Management System. The system provides four types of access rights: administrator, jury, student, and faculty leader, ensuring security and ease of use. The test results indicate that the system has a high level of accuracy, reliability, integrity, and usability. This system also helps expedite the scholarship selection process, reduce errors in recipient determination, and facilitate the selection team in decision-making. With this DSS, YAN is able to conduct the scholarship selection process more effectively and efficiently, ensuring that aid is accurately targeted at students in need.
ANALISIS DAN PENGEMBANGAN SISTEM MONITORING RADIOAKTIF ALAMIAH RADON MENGGUNAKAN DETEKTOR SINTILASI BERBASIS WEB SECARA REAL TIME Saepudin, Asep; Madinah, Dzahra Al; Makhsun, Makhsun; Taryo, Taswanda
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.384

Abstract

Monitoring radon gas concentrations in various environments, such as residential areas, buildings, caves, and mining sites, is crucial to minimizing health risks associated with radon exposure exceeding the 100 Bq/m³ threshold set by the World Health Organization (WHO). Additionally, anomalies in radon concentration in fault zones are often considered precursors to seismic activity. Therefore, this study develops a real-time Internet of Things (IoT)-based radon gas monitoring system using a cost-effective approach. The system utilizes a ZnS(Ag)-based scintillation detector combined with a Photo Multiplier Tube (PMT) model H10492-001 (Hamamatsu, Japan). Calibration results at the Geological Resource Research Center – BRIN Bandung indicate that the detector has an average efficiency of 79.8%. The cloud-based monitoring system is developed using PHP 8.0 and MySQL 10.5, with performance evaluation conducted through an API using the GET method via the cURL application. Testing with various intervals and iterations shows that the system achieves 99% data reception and recording efficiency compared to the data sent by the test device. Performance testing using Chrome DevTools indicates a response time ranging from 32–140 ms, demonstrating that the system responds quickly and efficiently handles user requests. The system includes an early warning mechanism that activates when sensor data exceeds a predefined threshold, featuring a red indicator on the dashboard, an alarm sound, and automatic notifications to a Telegram bot. Responsiveness testing confirms that the dashboard display adapts optimally to various screen sizes, ensuring accessibility across multiple devices. From a cybersecurity perspective, the system implements HTTPS protocols and has received an A rating from www.ssllabs.com. It also employs BCrypt encryption with a 184-bit hash length for password protection.
Membangun Kreativitas Melalui Pelatihan Media Sosial Youtube Bagi Pengurus Anak Cabang Gerakan Pemuda Ansor Kecamatan Setu Kota Tangerang Tukiyat, Tukiyat; Makhsun, Makhsun; Hindasyah, Achmad
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i1.2977

Abstract

Pada era digital saat ini, platform media sosial telah menjadi bagian tak terpisahkan dari kehidupan masyarakat. Eksistensi media sosial youtube mempunyai peran penting bagi masyarakat khususnya masyarakat generasi muda. Hal itu terlihat dari banyaknya prestasi maupun karya generasi muda yang sukses melalui media sosial youtube. PkM ini bertujuan membekali pengetahuan, pemahaman dan keterampilan bagi masyarakat dalam memanfaatkan media sosial youtube untuk meningkatkan kegiatan kreativitas dan produktif. Target dan sasaran dalam PkM adalah masyarakat Geakan Pemuda Ansor Kecamatan Setu Kota Tangerang Selatan.  Jenis kegiatan adalah pelatihan dalam membuat konten media sosial melalui media youtube. Materi pembelajaran pelatihan antara lain materi teoretis tentang konsep dan teori serta materi teknis/praktik langsung menggunakan aplikasi pengolah youtube. Metode pelaksanaan dengan ceramah, demontrasi dan praktik dalam pembuatan konten media sosial youtube. Capaian keberhasilan pelatihan diukur melalui kuesioner. Hasil analisis kuesioner menunjukkan bahwa  respon dan persepsi para peserta menilai kegiatan PkM ini baik dan sangat baik. Perlu dilakukan rencana tindak keberlanjutan PkM dalam rangka  monitoring dan evaluasi hasil karya  youtube.
Pemilihan Student of the month dengan Metode Simple Additive Weighting (SAW) dan Metode Weighted Product (WP) berbasis web Rizaldi, Muhammad Indra; Makhsun, Makhsun; Hindasyah, Achmad
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Every 1 (one) month SMK Nusantara 1 Tangerang City gives awards to its students. The award was given in the form of student of the month in order to increase the enthusiasm of learning students at SMK Nusantara 1 Tangerang City. The student of the month selection process is initiated by the principal with consideration from the vice principal and also the heads of expertise programs. However, until now the student of the month selection process still has a manual process that does not take into account the characteristics of the assessment criteria. Therefore, this study aims to evaluate the use of Simple Additive Weighting (SAW) method and Weighted Product (WP) method in the decision support system for the selection of student of the month. This research can help school principals in selecting student of the month more objectively. From this study obtained a final result of 0.994 for the SAW method and 0.050 for the WP method and stated that the student with the largest total score was Arminanda Khansa Sadiya.
Penerapan Metode Naïve Bayes dan Weighted Product untuk Prediksi Lanjut Studi Peserta Didik Kurnia, Muhammad Dahlan; Tukiyat, Tukiyat; Makhsun, Makhsun
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The low interest of students at the Hidayaturrohman Teluknaga Foundation to continue their education from MTs Hidayaturrohman to Hiro High School makes it necessary to look for the factors causing this lack of interest. This study aims to combine the application of advanced study predictions of students using the naïve Bayes method and the application of ranking with the weighted product method. The data for this research object are graduates of MTs Hidayaturohman in 2022. The research sample is 322 data. The data collection method is in the form of secondary data, namely students graduating from MTs Hidayaturrohman in 2022. The attributes used to assess factors for graduates of MTs Hidayaturrohman to continue their studies at Hiro High School consist of 5 attributes, namely hobbies, modes of transportation, parents' income, distance from home to school and school test scores. In the study, 322 data were divided by 85% (273 data) for training data and 15% (49 data) for testing data. The results showed that the Naïve Bayes method could be applied in predicting the further study of students from MTs Hidayaturrohman to Hiro High School. This is evidenced by the accuracy test using the confusion matrix with an accuracy value of 71%. Where from 49 testing data it is predicted that 34 data with advanced results and 15 data with moving results. Furthermore, data ranking using a weighted product was carried out on 316 data, where 50% of the data (158 data) with the highest vector value v entered advanced ranking and the rest entered moving ranking. The 50% figure is in accordance with the expectations of Hiro High School, namely that as many as 50% of MTs Hidayaturrohman graduates continue on to Hiro High School. Then the highest vector v value is 0.005945284 for parent number 19207207 and the lowest vector v value is 0.001552376 for parent number 19207219.