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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal PG-PAUD Trunojoyo : Jurnal Pendidikan dan Pembelajaran Anak Usia Dini JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jusikom : Jurnal Sistem Komputer Musirawas JOURNAL OF SCIENCE AND SOCIAL RESEARCH Ensiklopedia Education Review Jurnal Mantik Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Darma Agung Jurnal Pengabdian Masyarakat STKIP AL MAKSUM LANGKAT RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research Instal : Jurnal Komputer J-Com (Journal of Computer) Jurnal Minfo Polgan (JMP) Prosiding Snastikom Jurnal Nasional Teknologi Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Journal of Economic, Technology and Social Sciences (Injects) Indonesian Journal of Education And Computer Science HUMAN: Journal of Social Humanities and Science Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Zulfahmi Syahputra
Universitas Pembangunan Panca Budi
Religion 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 Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences

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Aplikasi Monitoring Persediaan Stok Obat berbasis Web pada UPT Puskesmas Karang Rejo Menerapkan Framework Laravel Xenna Agustina; Zulfahmi Syahputra; Barany Fachri
Jurnal Nasional Teknologi Komputer Vol 6 No 3 (2026): Juli 2026
Publisher : CV. Hawari

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

Abstract

The development of information technology has had a significant impact on various sectors, including the healthcare sector. Managing drug inventory manually has the potential to cause various problems, such as recording errors, delayed reporting, stock data discrepancies, and undetected drugs approaching their expiration dates. Based on observations at the UPT Puskesmas Karang Rejo (Karang Rejo Public Health Center), the drug stock management process still relies on logbooks and Microsoft Excel, which prevents the inventory monitoring process from running optimally. This study aims to design and develop a web-based drug stock inventory monitoring application using the Laravel Framework. The system development method used is the System Development Life Cycle (SDLC) with the Waterfall model, which consists of the stages of requirements analysis, system design, implementation, testing, and maintenance. The system is built using the PHP programming language with the Laravel Framework and a MySQL database. The results of the study show that the developed application is capable of assisting in the integrated management of incoming and outgoing drug data, providing real-time inventory reports, and delivering notifications for minimum stock levels and drug expiration dates. The implementation of this system is expected to improve work efficiency, data accuracy, and the quality of healthcare services at UPT Puskesmas Karang Rejo.
Implementation of the Internet of Things (IoT) in the Teacher Attendance System Using the ESP32-CAM Module and Firebase Database Romy Permana Sitepu; Hafni; Mudammad Zen; Zulfahmi Syahputra
Bahasa Indonesia Vol 18 No 06 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i06.544

Abstract

A routine activity carried out by students and teachers before the teaching and learning process is attendance. Attendance is one of the important components used as a benchmark for assessing attendance and performance. Attendance activities, especially in schools, tend to still use manual methods. So there are still frequent errors in recapitulation and recording of attendance. One of the microcontroller components that supports attendance activities is the ESP 32 Cam. Therefore, research was conducted to create an effective and easy-to-use attendance system based on the ESP 32 Cam. The ESP 32 Cam has the advantage of being equipped with a camera and wifi so that teachers who will take attendance are required to record facial images. This minimizes the occurrence of fraud in the attendance process. Furthermore, the Firebase Database functions as a storage place for teacher attendance data. Firebase Database is a service that provides a cloud-based data storage application in JSON format. In addition, Firebase Database also has the advantage of real-time data synchronization. After conducting research, the ESP32 Cam is not equipped with a good operating system for managing system files. Therefore, the author tried to conduct research by developing a teacher attendance system with the ESP 32 Cam and Firebase Database. The attendance process begins with the administrator registering or recording a facial image. The attendance process is then carried out by bringing the face close to the ESP 32 Cam camera. The identified facial recording is then sent and stored in the Firebase Database. The results of this study indicate that the attendance system can only be used by teachers who have previously registered and only covers teachers at one school.
IMPLEMENTATION OF ORDERING AND DELIVERY APPLICATION USING AGILE METHOD Aminuddin Indra Permana; Zulfahmi Syahputra; Muhammad Davy Anggara Saragih
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2275

Abstract

Perkembangan teknologi informasi telah mempengaruhi banyak sektor usaha, termasuk layanan pemesanan dan pengiriman. Dalam upaya meningkatkan efisiensi dan daya tanggap terhadap kebutuhan pelanggan, metode Agile diterapkan dalam pengembangan aplikasi pemesanan dan pengiriman. Penelitian ini bertujuan untuk merancang dan membangun sebuah aplikasi yang mampu memudahkan proses pemesanan dan pengiriman secara cepat dan akurat, menggunakan metode Agile untuk memaksimalkan fleksibilitas dan iterasi pengembangan. Metode Agile dipilih karena pendekatannya yang berulang dan kolaboratif, sehingga memungkinkan tim pengembangan merespons perubahan permintaan dan kebutuhan bisnis dengan cepat. Setiap tahap pengembangan dilakukan dalam bentuk sprint yang menghasilkan fitur-fitur fungsional aplikasi, seperti sistem pemesanan, pelacakan pengiriman, dan notifikasi status barang secara real-time. Hasil dari penelitian ini adalah aplikasi pemesanan dan pengiriman berbasis web yang dapat meningkatkan efisiensi operasional dan kepuasan pelanggan. Selain itu, penerapan metode Agile terbukti efektif dalam meminimalisir kesalahan dan mempercepat proses pengembangan, serta memudahkan adaptasi terhadap perubahan kebutuhan pengguna.
DESIGN AND CONSTRUCTION OF A WEB-BASED STUDENT DATA MANAGEMENT INFORMATION SYSTEM IN SCHOOLS Aminuddin Indra Permana; Zulfahmi Syahputra; Muhammad Davy Anggara Saragih
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2276

Abstract

Pengelolaan data siswa merupakan salah satu aspek penting dalam administrasi sekolah yang memerlukan sistem yang efisien dan akurat. Selama ini pengolahan data di SMK PAB 5 Kelambir Lima masih dilakukan secara manual sehingga sering menimbulkan kesalahan, keterlambatan, dan kesulitan dalam mengakses data yang akurat dan terkini. Oleh karena itu diperlukan suatu sistem informasi berbasis web untuk mendukung pengelolaan data siswa yang lebih efektif dan efisien. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pengelolaan data siswa berbasis web di SMK PAB 5 Kelambir Lima. Sistem ini dikembangkan dengan menggunakan metode pengembangan perangkat lunak Waterfall yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Bahasa pemrograman yang digunakan adalah PHP dengan database MySQL untuk menyimpan data siswa. Hasil dari penelitian ini adalah sebuah sistem informasi yang mampu mengelola data mahasiswa antara lain pendaftaran mahasiswa baru, pengelolaan data akademik, dan laporan mahasiswa. Dengan sistem ini, proses pengelolaan data menjadi lebih terstruktur, efisien, dan mudah diakses oleh sekolah. Penerapan sistem ini diharapkan dapat meningkatkan kualitas layanan dan efisiensi operasional administrasi sekolah.
E-KEDE APPLICATION DEVELOPMENT IN INCREASING UMKM SALES BASED ON SDLC Zulfahmi Syahputra; Muhammad Irfan Sarif; Ristra Sandra Ritonga; Ayu Husniyyah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2284

Abstract

E-Kedai merupakan aplikasi bisnis online yang ditujukan untuk pengembangan UMKM. Dalam bentuknya yang paling jelas, E-Kedai menjual produk ke konsumen secara online. Sederhananya, E-commerce menciptakan, mengelola, dan memperluas hubungan komersial secara online. Dalam proses jual beli UMKM masyarakat Desa Klambir V datang langsung dan melihat barang yang ada di toko hanya bisa memilih secara manual, sehingga beberapa kali pelanggan merasa kecewa karena barang yang diinginkan tidak ada padahal pelanggan sudah ada. sudah ada di toko. Sehingga diperlukan inovasi penjualan secara online atau disebut dengan E-Kedai agar pelanggan dapat memilih barang dan melihat stok barang secara online, selain itu peneliti membuat E-Kedai dengan harapan dapat meningkatkan penjualan dan cakupan pembeli agar dapat dilihat oleh seluruh klambir. komunitas V. Hasil penelitian berupa suatu sistem yang diterapkan pada perancangan aplikasi berbasis website yang efisien dalam menjual produk dan dapat memberikan kemudahan bagi pelanggan, serta meningkatkan efisiensi usaha bagi UMKM masyarakat Desa Klambir V.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEGAWAI NON-PNS TERBAIK DI DINAS PEMBERDAYAAN PEREMPUAN,PERLINDUNGAN ANAK,PEMBERDAYAAN MASYARAKAT DAN PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KOTA MEDAN MENGGUNAKAN METODE MOOSRA DAN ROC Nurul Aulia; Rio Septian Hardinata; Zulfahmi Syahputra
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.2761

Abstract

Abstract: In this research, a Decision Support System (SPK) was created to select the best non-ASN employees in the Department of Women's Empowerment, Child Protection, Community Empowerment and Population Control and Family Planning (DP3APMP2KB) of Medan City. Making this SPK uses the ROC method to calculate the weight of 8 specified criteria, namely violations of absenteeism, competency, education, integrity, length of time the employee has worked in the service, current age of the employee, loyalty and history of the employee's illness. The weight values are then calculated using the MOOSRA method to obtain the Decision matrix values. The calculations for these two methods are carried out using Google Colab with the Python programming language. Calculations using the ROC method produce a weight value for each criterion, namely criterion 1 for absenteeism violations of 0.340, criterion 2 for employee competency of 0.215, criterion 3 for the employee's last education of 0.152, criterion 4 for integrity of 0.111, criterion 5 with a weight of 0.079 for the length of time the employee has worked in the service, criterion 6 for the employee's current age of 0.054, criterion 7 for loyalty with a weight of 0.033 and criterion 8 for history of current illness is 0.016. The results of calculations using MOOSRA show that Yuniarti Exaudia with the criteria code A32 has a Decision Matrix value of 2.915 and is a non-ASN employee who deserves to be the best employee. Keyword: Non-ASN employee, SPK,ROC,MOOSRA, DP3APMP2KB Department Abstrak: Pada penelitian ini dilakukan pembuatan Sistem Pendukung Keputusan (SPK) untuk memilih  pegawai non-ASN terbaik di Dinas Pemberdayaan Perempuan, Perlindungan Anak, Pemberdayaan Masyarakat dan Pengendalian Penduduk dan Keluarga Berencana (DP3APMP2KB) Kota Medan . Pembuatan SPK ini menggunakan Metode ROC untuk menghitung bobot dari 8 kriteria yang ditentukan yaitu pelanggaran absensi, kompetensi, Pendidikan, integritas, lama pegawai telah bekerja di  dinas tersebut, usia pegawai saat ini, loyalitas dan Riwayat penyakit yang dimiliki pegawai. Nilai bobot tersebut kemudian dihitung menggunakan Metode MOOSRA untuk memperoleh nilai matriks Keputusan. Perhitungan kedua Metode ini dilakukan menggunakan bantukan Google Colab dengan Bahasa pemograman Python. Perhitungan menggunakan Metode ROC menghasilkan nilai bobot masing-masing kriteria yaitu kriteria 1 untuk pelanggaran absensi sebesar 0,340, kriteria 2 untuk kompetensi dari pegawai sebesar 0,215, kriteria 3 untuk Pendidikan terakhir pegawai sebesar 0,152, kriteria 4 sebagai integritas sebesar 0,111, kriteria 5 dengan bobot 0,079 untuk lama pegawai tersebut bekerja di dinas tersebut, kriteria 6 untuk usia pegawai saat ini sebesar 0,054, kriteria 7 untuk loyalitas dengan bobot sebesar 0,033 dan kriteria 8 untuk Riwayat penyakit saat ini sebesar 0,016. Hasil perhitungan menggunakan MOOSRA didapatkan bahwa  Yuniarti Exaudia dengan kode kriteria A32 memiliki nilai matriks Keputusan sebesar 2,915 dan menjadi pegawai non-ASN yang patut dijadikan pegawai terbaik.Kata kunci: Pegawai non-ASN, SPK, ROC, MOOSRA, Dinas DP3APMP2KB
METAHEURISTIC HYPERPARAMETER OPTIMIZATION FOR DEEP LEARNING: A COMPARATIVE STUDY Zulfahmi Syahputra; Romi Fadillah Rahmat
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 12 No. 1 (2026): JITK Issue August 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v12i1.8269

Abstract

One of the primary challenges in developing effective deep learning models lies in identifying optimal hyperparameter configurations, particularly within high-dimensional and complex search spaces. Traditional tuning strategies, including grid search and random search, are widely known to be computationally inefficient and frequently yield suboptimal outcomes. To address this limitation, this study presents a comparative analysis of two metaheuristic algorithms — Particle Swarm Optimization (PSO) and Dwarf Mongoose Optimization (DMO) — as advanced alternatives for hyperparameter tuning in deep learning models trained on the CIFAR-10 dataset. Both algorithms were rigorously assessed using a comprehensive set of performance metrics, namely accuracy, precision, recall, and F1-score, supplemented by confusion matrix analysis to capture class-level behavior. Experimental findings confirm that both approaches yield substantial improvements in model performance. Notably, PSO demonstrated superior results, achieving a validation accuracy of 89.15% and a test accuracy of 87.82%, while DMO reached a final accuracy of 86.38%. In terms of optimization behavior, PSO exhibited greater convergence stability and more uniform class-level performance, whereas DMO proved more effective in broadly exploring the search space. Overall, this study reinforces the potential of metaheuristic-based optimization as a robust framework for hyperparameter tuning and underscores the critical role of optimization stability in achieving reliable model generalization.
Pengembangan Sistem Booking Online pada Barbershop Mr. Klimis Berbasis Website Menggunakan QR Code untuk Meningkatkan Efisiensi Layanan Bisnis Habi Tri Surya Ananda; Hendry; Zulfahmi Syahputra
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
Publisher : CV. Hawari

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Abstract

The rapid development of information technology has encouraged service businesses to improve service quality through the digitalization of business processes. Mr. Klimis Barbershop still manages service reservations and customer queues manually, resulting in long waiting times, recording errors, and increased administrative workload. This study aims to develop a web-based online booking system integrated with QR Code technology to improve business service efficiency at Mr. Klimis Barbershop. The system was developed using the System Development Life Cycle (SDLC) with the Waterfall approach, consisting of requirements analysis, system design, implementation, testing, and maintenance stages. The application was built using the Laravel framework and provides features such as barber selection, service time slot selection, queue management, automatic booking code generation, and an administrative dashboard. QR Code technology is implemented as a quick access medium to the booking system, enabling customers to make reservations more conveniently. System testing was conducted using the Black Box Testing method to ensure that all functionalities operated according to user requirements. The results indicate that the developed system simplifies the reservation process, improves queue management, reduces administrative workload, and enhances service quality and operational efficiency at Mr. Klimis Barbershop.
Co-Authors , Arpan Ahmad Akbar Ajie Maulizar Alfiansyah Hasibuan Aminuddin Indra Permana Ammar Najmi Adra Arpan Arpan Ayu Husniyyah Daniel Panjaitan Daud Arifin Edi Suranta Sembiring Eko Hariyanto Ernanda Setiawan Fachri, Barany Fachry Abda El Rahman Feriadi Habi Tri Surya Ananda Habibi Umam Hafni Hanna Willa Dhanny Hanna Willa Dhany Hardinata, Rio Septian Hendry Herli Herutomo Hilal Prayogi Husniyyah, Ayu Ibnu Gunawan Intan Maya Sari Iwan Purnama Khairul Khairul Syahputra Lubis, Jelita Ananda Mohammad Faiza Zachary Mudammad Zen Muhammad Davy Anggara Saragih Muhammad Irfan Sarif Muhammad Ridho Pradana Muhammad Syahputra Novelan Munisa Naomi Raulinda Br Sembiring Nova Mayasari Nurul Aulia Paris Pratama Parisca Parisca Putra, Purwa Hasan Rany Febriana Hutabarat Reni Aryanti Rian Farta Wijaya Rifa Ruliansyah Nasution Rifq Surya Pradhana Rifqi Surya Pradhana Rio Septian Hardinata Rio Septian Hardinata Ristra Sandra Ritonga Ritonga, Ristra Sandra Rizky Trianda Romi Fadillah Rahmat Romy Permana Sitepu Roy Frensal Baringbing Sabrina Patuzahra Saragih, Muhammad Davy Anggara Sarif, Muhammad Irfan Sitorus, Zulham Sri Wahyuni Supiyandi Supiyandi Wirda Fitriani Wiwik Handayani Xenna Agustina Ziddo Simanjuntak