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All Journal Jurnal Teknologi dan Manajemen Informatika Sistemasi: Jurnal Sistem Informasi Briliant: Jurnal Riset dan Konseptual Journal on Information Systems, Technology of Information and Communications (JoISTIC) INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknik Informatika UNIKA Santo Thomas J-SAKTI (Jurnal Sains Komputer dan Informatika) Building of Informatics, Technology and Science bit-Tech Jurnal Informasi dan Teknologi Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Putra Society: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Bhinneka SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
Alun Sujjada
Universitas Nusa Putra
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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KIPAS ANGIN OTOMATIS BERBASIS ARDUINO: KIPAS ANGIN OTOMATIS BERBASIS ARDUINO Meinanda, Muhamad Dani; Sujjada, Alun
Prosiding Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer Vol 1 (2022): Sentimeter 2022
Publisher : Prosiding Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer

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

Abstract

Suhu pada tubuh manusia dapat dengan mudah berubah sesuai dengan suhu disekitarnya. Negara Indonesia yang beriklim tropis serta pemanasan global juga menjadi faktor lain yang membuat cuaca menjadi tidak tertentu. Untuk mengatasi permasalahan ini diperlukan sebiah alat untuk membatu menstabilkan suhu pada tubuh manusia. Salah satu alat pembantu tersebut adalah kipas angin, namun kipas angin yang banyak di pakai saat ini rata-rata masih manual dimana untuk menghidupkan dan mematikannya masih secara manual yang dimana kita harus mendekati kipas anginnya terlebih dahulu untuk bisa mengendalikannya. Berdasarkan permasalahan ini maka dibuatlah sebuah alat yang dapat mengandalikan kipas angina secara otomatis. Kipas angin di buat secara otomatis dengan memanfaatkan sensor suhu (DHT11) dan dikendalikan menggunakan Arduino Uno. Sensor suhu DHT11 berfungsi untuk mendeteksi suhu di dalam ruangan , sedangkan arduino uno berfungsi sebagai alat untuk mengendalikannya. Tujuan dibuatnya kipas angin otomatis ini, yaitu untuk membantu manusia dalam menghidupkan dan mamatikan kipas. Hasil pengujian yang di peroleh adalah jika sensor suhu mendeteksi suhu ruangan melebihi 30C maka kipas angin akan otomatis hidup dan jika sensor suhu mendeteksi suhu ruangan kurang dari 29°C maka kipas angin otomatis akan mati dengan sendirinya.
Comparison of Gabor Filter Parameter Characteristics for Dorsal Hand Vein Authentication Using Artificial Neural Networks Putra, Wahyu Irwan; Yudono, Muchtar Ali Setyo; Sujjada, Alun
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 12 No. 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1819

Abstract

The importance of digital security in today's technological era requires various innovations in creating a reliable security system for humans. Biometrics is an authentication method and the most effective system for performing personal recognition because biometrics have unique characteristics. Dorsal hand vein become biometrics for the individual recognition process in this study using feature extraction of gabor filters and neural network backpropagation to classify recognition into five classes of human individuals, which are expected to be able to provide a higher accuracy value when compared to research on the introduction of dorsal hand vein. This classification process has several stages, namely input image, image pre-processing, segmentation, feature extraction, and image classification. The test results show that the percentage of success based on the five test scenarios has an average value of 75%. In this study, the results of the greatest test accuracy in the fourth scenario were 91%.
Implementasi logika fuzzy mamdani dan simple additive weighting (saw) pada sistem pakar berbasis web untuk deteksi dini gangguan neurologis Harits, Muhammad Harits Firdaus; Thohir, Muhammad Ikhsan; Sujjada, Alun
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10130

Abstract

Neurological disorders such as low back pain, vertigo, ischemic stroke, epilepsy, and peripheral neuropathy affect the central and peripheral nervous systems and have the potential to reduce quality of life and be fatal if not detected early. In Indonesia, the high prevalence is not balanced with access to early diagnosis due to limited medical personnel, costs, and waiting times. This study developed a web-based expert system for early detection of five neurological disorders using the Mamdani Fuzzy Method for inference and Simple Additive Weighting (SAW) for symptom ranking. The diagnosis process includes fuzzification, rule evaluation, aggregation, centroid defuzzification, and SAW calculation. The system was tested through black box testing and accuracy evaluation using MAE, RMSE, and F1 Score. The results showed an MAE value of 2.8%, RMSE 2.83%, and F1 Score 0.75, which proves the system is accurate, consistent with manual calculations, and easy to use. With a user-friendly interface, this system has the potential to be a pre-diagnosis tool that increases public awareness and supports medical personnel in decision-making.
Perancangan UI/UX dan Frontend Sistem Informasi Laporan dan Administrasi SILANDRA di Sekretariat DPRD Kabupaten Sukabumi Shalman, Muhamad; Sujjada, Alun
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 3 (2026): Bulan Februari
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i3.1053

Abstract

Kegiatan pengabdian masyarakat ini melibatkan perancangan UI/UX dan frontend sistem informasi laporan dan administrasi SILANDRA di Sekretariat DPRD Kabupaten Sukabumi untuk meningkatkan efisiensi pengelolaan data laporan dan administrasi. Permasalahan utama adalah keterbatasan sistem yang menyebabkan kesulitan navigasi, entri data, dan visualisasi laporan, memperlambat proses administrasi. Metode dilakukan melalui analisis kebutuhan pengguna, perancangan prototipe UI/UX dengan pendekatan user-centered design, serta pengembangan frontend responsif. Hasilnya, perancangan ini meningkatkan user experience, mengurangi waktu pemrosesan data, dan mendukung integrasi data yang lebih baik. Kegiatan ini juga memberikan pengalaman praktis dan kompetensi teknis bagi mahasiswa dalam desain dan pengembangan frontend di lingkungan pemerintah daerah.
Pemanfaatan Teknologi Informasi Pada Pengelolaan Data Absensi Karyawan Serta Pemeliharaan Sistem Informasi Perusahaan di PT Longvin Indonesia, Sukabumi Aulia, Annisa Tasya; Sujjada, Alun
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 3 (2026): Bulan Februari
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i3.1107

Abstract

Perkembangan teknologi informasi telah mendorong transformasi digital di berbagai sektor industri, termasuk dalam pengelolaan sumber daya manusia. Fokus kegiatan pengabdian ini adalah pada pemanfaatan aplikasi SECO ABSEN sebagai sistem pengelolaan data absensi karyawan berbasis digital. Fokus pembahasan diarahkan pada bagaimana proses penarikan, pengolahan, dan pelaporan data absensi dilakukan secara terkomputerisasi. Metode yang digunakan adalah pendekatan deskriptif kualitatif melalui observasi langsung, dokumentasi, dan keterlibatan penulis dalam aktivitas operasional selama kegiatan magang di PT. Longvin Indonesia. Hasil kegiatan menunjukkan bahwa penggunaan sistem absensi digital membantu meningkatkan akurasi pencatatan kehadiran, mempercepat proses rekapitulasi, serta mempermudah penyusunan laporan. Selain itu, pemeliharaan perangkat dan infrastruktur teknologi informasi juga mendukung kelancaran operasional perusahaan, sehingga aktivitas kerja dapat berjalan lebih efektif dan efisien.
Implementation of Playwright as an Automation Tool for Functional Web Application Testingon Tool for Functional Web Application Testing Nurbilkis, Gina; Sujjada, Alun
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Januari
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/cx9g8945

Abstract

The rapid development of web technology has increased the complexity of modern applications, requiring efficient and accurate testing methods. PT. Neuronworks Indonesia previously used manual and semi-automated testing through the Cypress framework, which has limitations in cross-browser support and script maintenance. To address these issues, a community service activity was carried out by implementing the Playwright framework as a tool for functional web application test automation. The activity included training, test environment preparation, and direct implementation on the company’s web project. The results showed an improvement in regression testing efficiency from around three hours to one hour per cycle. Test stability and consistency increased by approximately 20% with the support of multi-tab features and cross-browser testing. This activity not only improved testing performance but also strengthened the QA staff’s technical competence in using modern automation tools. The implementation of Playwright proved effective in optimizing the quality assurance process and is recommended for broader adoption in web application testing within the industry.
Implementasi Aplikasi Presensi Magang Digital Berbasis Web di Badan Pusat Statistik Kota Sukabumi Kamilah, Mirna; Sujjada, Alun
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 3 (2026): Bulan Februari
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i3.1210

Abstract

Program pengabdian ini bertujuan untuk mendigitalisasi sistem pencatatan kehadiran peserta magang di Badan Pusat Statistik (BPS) Kota Sukabumi yang sebelumnya masih bersifat manual. Metode yang digunakan dalam pengembangan sistem ini adalah metode Waterfall, yang mencakup tahapan analisis kebutuhan, desain sistem, implementasi menggunakan framework Laravel dan basis data MySQL, hingga tahap pengujian dan deployment. Hasil dari kegiatan ini adalah terciptanya aplikasi presensi berbasis web yang dilengkapi fitur validasi lokasi GPS, unggah foto, dan rekapitulasi laporan otomatis dalam format PDF. Kesimpulannya, implementasi sistem ini berhasil meningkatkan efisiensi, transparansi, dan keteraturan administrasi pengelolaan peserta magang di instansi terkait secara signifikan.
Customer Segmentation-Based Promotion Recommendation Using RFM and K-Means Clustering on a Web Platform Handoko, Kemal Fiqri; Nugraha, Nugraha; Sujjada, Alun
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3677

Abstract

Traditional micro-scale retail businesses, such as neighborhood stores, frequently apply promotions uniformly due to limited analytical capacity, leading to inefficient resource use and weak customer retention. Existing promotion recommendation studies predominantly focus on large-scale or online retail settings, leaving a methodological and translational gap in data-driven promotional decision support for micro-scale traditional retail contexts. This study aims to address this gap by developing and evaluating a web-based promotion recommendation system tailored to operational constraints of small neighborhood stores. Customer purchasing behavior is modeled using the Recency, Frequency, and Monetary (RFM) framework, and customer segmentation is performed with the K-Means clustering algorithm. The study utilizes transaction records from 1,043 registered customers comprising 1,500 transactions collected between February and April 2025. Five customer segments are identified, namely VIP customers, frequent buyers, occasional shoppers, at-risk customers, and new customers. Clustering quality is assessed using the Silhouette Score, achieving a value of 0.4464, which indicates moderate cluster cohesion and separation. Promotional performance is evaluated through a pre–post implementation comparison, where the observed 157.09% sales increase reflects an associative improvement rather than a causal estimate of system impact. Analytically, the study contributes a validated customer segmentation pipeline suitable for sparse micro-retail data, while at the system level it delivers an operational web-based decision support tool that translates segmentation results into actionable promotional recommendations. Although practically useful, the evaluation covers one store and a short period, limiting generalizability and causal inference.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Aden Rahmat Ramdani Alpariji, Salman Alvira Fauziah Rahmah Alvira Fauziah Rahmah Aulia, Annisa Tasya Dwi Sartika Simatupang Erlinda Juniar Esa Nurfaizah Fadilah, Muhammad Sahrul Fadillah Alviqih falentino sembiring Febriansyah Febriansyah Firdaos, Helfi Apriliyandi Handoko, Kemal Fiqri Harits, Muhammad Harits Firdaus Haryadi, Habbyan Lazuard Hasanah, Nurul Islam Ihsan Nurhuda Indra Yustiana Insany, Gina Purnama Irpanudin Jelita Asian Juniar, Erlinda Kamdan Kamilah, Mirna Khadijah Kibtiyah Kharisma, Ivana Lucia Kumaran, Ivano Lidena, Salwa Dwi Mansur Ponimat Mayang Gunawan Mega Putri Utami Meinanda, Muhamad Dani Mohamad Salman Farizi Muchtar Ali Setyo Yudono Muhamad Ridwan Nullah Muhammad Ikhsan Thohir Mustopa, Ato Noer, Silvia Nugraha Nugraha Nurbilkis, Gina Panji Pratama Putra, Wahyu Irwan Reka Reni Andian Reni Nur Anggraeni Rizal Fadli Rizaldi, Fazrin Muhammad Rizki Maulana Sebayang, Alvin Christoper Sepriyadi, Adi Shalman, Muhamad Somantri Somantri Somantri, Somantri Sulaeman, Asep Surahman Syam, Fajar M Usnul Latipah Vemi Januarita Putri Wilianti, Refi Yunita Ramanda Zaenal Alamsyah Zulia nur permatasari