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Perancangan Sistem Aplikasi Registrasi Mitra Online Menggunakan Algoritma Brute Force Pada PT Dayamitra Telekomunikasi (Berbasis Web) Safhani, Rizca; Akbar, Yuma
Jurnal Vokasi Teknik Informatika Vol 1 No 3 (2021)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/javit.v1i3.37

Abstract

This research is motivated by the company's constraints which are currently still doing the Partner Registration process manually, where partners cooperate by sending a hardcopy or physical Company Profile of the Company which makes these documents pile up in our company. Based on this background, it is necessary to create an application for Online Partner Registration Application System Design using a web-based Brute Force Algorithm that aims to help companies The research method used is using qualitative research methods. The design of this application is divided into Data Flow Diagrams, Table Structures, flowcharts and interface design. The development of this application uses codeigniter as a php framework (backend) and uses Black Box and White Box testing. The results of this research, is a website application that will assist in the development of the company and the benefits of this application can be time efficient and facilitate the process of tracing documents.
Penilaian Kinerja Pegawai Icu Dengan Metode Simple Additive Weighting (SAW) Berbasis WEB di RSPAD Gatot Soebroto Nugraha, Muhamad Fikri; Akbar, Yuma
Jurnal Vokasi Teknik Informatika Vol 1 No 3 (2021)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/javit.v1i3.41

Abstract

Perusahaan melakukan penilaian kinerja terbaik terhadap karyawan untuk mengevaluasi, memotivasi, memverifikasi dan meningkatkan kinerjanya. Penilain kinerja pegawai dapat memudahkan pimpinan dalam menilai kinerja karyawannya dan yang mana nantinya hasil dari penilaian kinerja ini dapat dijadikan suatu acuan untuk memilih karyawan dengan kualitas kerja yang baik.dalam melakukan penilaian ini dapat menggunaka metode simple metode additive ( SAW ). Metode simple metode additive sangat membantu dalam melakukan perangkingan untuk menentukan penilaian terhadap kinerja pegawai .di ruang intensive care unit ( ICU ) sendiri saat ini sedang melakukan penilaian kinerja karyawannya dengan mengunakan metode SAW. Kata kunci: Perangkingan, Kinerja, Metode SAW
KOMPARASI ALGORITMA CBQ ( CLASS BASED QUEUEING ) DAN TEKNIK TRAFFIC SHAPPING DALAM OPTIMASI KUALITAS LAYANAN ( QOS ) PADA JARINGAN BERBASIS IPV6 Akbar, Yuma; Wijaya, Rohmat
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 4 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/tmxavg13

Abstract

Perkembangan teknologi jaringan yang semakin pesat, terutama dengan implementasi protokol IPv6, menuntut sistem manajemen lalu lintas data yang lebih efisien untuk menjamin kualitas layanan (Quality of Service/QoS). Dalam konteks ini, algoritma Class-Based Queueing (CBQ) dan teknik Traffic Shaping menjadi dua pendekatan yang umum digunakan untuk mengelola bandwidth serta mengatur prioritas dan aliran data dalam jaringan. Penelitian ini bertujuan untuk melakukan komparasi antara algoritma CBQ dan teknik Traffic Shaping dalam mengoptimalkan QoS pada jaringan berbasis IPv6. Parameter yang dianalisis meliputi throughput, delay, jitter, dan packet loss menggunakan skenario simulasi dengan topologi jaringan tertentu. Hasil penelitian menunjukkan bahwa kedua metode memiliki keunggulan masing-masing, di mana CBQ lebih unggul dalam pengaturan prioritas trafik dan fairness, sedangkan Traffic Shaping lebih efektif dalam pengendalian laju pengiriman data dan stabilisasi bandwidth. Kesimpulan dari penelitian ini memberikan rekomendasi penggunaan algoritma yang sesuai berdasarkan kebutuhan karakteristik lalu lintas jaringan dan tujuan optimasi QoS.
Optimasi Keamanan Jaringan Dengan Metode SD-WAN Dan PfSense Pada Kantor PT Anagata Cipta Teknologi Akbar, Yuma; Toriq, Fatkul
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 4 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/ns2kre84

Abstract

Dalam satu dekade terakhir, pertumbuhan penggunaan internet di Indonesia telah mencapai tingkat penetrasi sekitar 77% dari total populasi, mencerminkan transformasi digital yang pesat di berbagai sektor, termasuk dunia usaha. PT Anagata Cipta Teknologi sebagai penyedia layanan IT, dihadapkan pada kebutuhan untuk membangun sistem jaringan yang tidak hanya andal dan efisien, tetapi juga memiliki ketahanan terhadap ancaman siber yang semakin kompleks. Penelitian ini bertujuan mengoptimalkan keamanan dan efisiensi jaringan internal perusahaan melalui integrasi antara Software Defined - Wide Area Network (SD-WAN) dan pfSense. SD-WAN memberikan kemampuan pengelolaan lalu lintas data secara terpusat, adaptif, dan hemat biaya, sedangkan pfSense sebagai firewall open-source menawarkan fitur keamanan tingkat lanjut yang dapat disesuaikan dengan kebutuhan organisasi. Hasil implementasi menunjukkan bahwa kombinasi kedua teknologi ini mampu meningkatkan kontrol, efisiensi, dan perlindungan jaringan secara signifikan, serta memberikan solusi berkelanjutan bagi infrastruktur digital perusahaan.
Sistem Monitoring Kondisi Kelembapan dan pH Tanah Berbasis Internet of Things (IoT) untuk Tanaman Hias Cahyono, Bayu Adi; Akbar, Yuma
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1569

Abstract

Manual monitoring of soil moisture and pH often hinders the growth of ornamental plants, posing a challenge for hobbyists. This study addresses this issue by developing an Internet of Things (IoT) based monitoring system using a Research and Development (R&D) method. A functional prototype was built with an ESP32 microcontroller, a capacitive moisture sensor, and a pH sensor, which transmits real-time measurement data to the Blynk mobile application. Following a systematic sensor calibration process, test results confirmed the system's ability to accurately and responsively present moisture and pH data. All system functionalities, from data visualization to notifications, were successfully verified. The system is proven to be a functional and practical solution, enabling users to shift from intuitive care to precise, data-driven maintenance for optimal plant growth.
Pengembangan Fitur Pencarian dan Filter Produk pada Aplikasi E-Commerce Gallery Muslim Berbasis Android Mafazi, Luthfillah; Akhsani, Ziyat; Fadillah, Fauzan; Iskandar, Dadang Mulyana; Akbar, Yuma; Hidayat, Aditya Zakaria
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1587

Abstract

The primary challenge in inventory management for MSMEs like Gallery Muslim lies in the manual recording system using notebooks and Excel spreadsheets, which is prone to errors and data loss. Yet, structured offline mobile solutions for micro-scale fashion MSMEs with fragmented recording practices remain limited. This research aims to design and develop an Android-based stock management application utilizing a local Room Database for efficient and accurate digital recording. The study focuses on Gallery Muslim, a retail shop specializing in Muslim clothing and school uniforms. Data were collected through interviews, direct observation, and focus group discussions (FGD) with store owners and warehouse staff. Instruments included documentation of recording activities and analysis of feature requirements. The results demonstrate that the application accelerates the stock recording process by up to 50% compared to manual methods (based on initial simulations), enhances data accuracy, and enables offline access without an internet connection. The study concludes that this Android-based local application is highly suitable for MSMEs not yet integrated with online systems, offering a practical tool for small business owners to embark on digital transformation and improve operational efficiency.
Klasifikasi Tingkat Kepuasan Masyarakat terhadap Pelayanan Pembuatan KTP Elektronik di Dinas Dukcapil Semper Barat Menggunakan Metode Naïve Bayes Lestari, Dinny Amalia; Sugiyono, Sugiyono; Akbar, Yuma; Hidayat, Aditya Zakaria
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1598

Abstract

Population administration plays an important role in Indonesia as it is involved in various activities at the government agency level. Based on data from 2020, the population in Jakarta reached 2,343,511 people. This indicates that the government in every region must provide the best service in managing population administration, especially in the issuance of electronic ID cards (e-KTP). However, various issues have been found that lead to public dissatisfaction, such as the lengthy service process, lack of information, and limited number of service personnel. Therefore, it is necessary to conduct an analysis of the level of public satisfaction to evaluate and improve service quality. This research aims to classify the level of satisfaction of the community regarding the service of e-KTP issuance. The object of this study is the community members who are applying for electronic ID cards at the Dukcapil Semper Barat. The method used in this research is a quantitative approach, with data collection through questionnaires distributed to 100 respondents. Data is obtained using questionnaires distributed to the public, and subsequently analyzed through classification performance evaluation processes. The results of this study indicate that the Naïve Bayes method is capable of classifying the level of public satisfaction with a fairly good accuracy rate. These findings are expected to serve as a reference for the Dukcapil in improving the quality of public services sustainably.
Penerapan Metode Naïve Bayes untuk Klasifikasi Produk Berdasarkan Kategori Penjualan di Toko Artemist Akbar, Yuma; Qibthiyah, Mariyatul
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1603

Abstract

The implementation of this model offers practical benefits for stock management, promotional planning, and data-driven product strategy decisions, thereby improving operational efficiency for medium-scale retail businesses. The application of data analysis in the retail sector is essential to support accurate and efficient decision-making. This study aims to classify products at Artemist Store into two categories: high demand and low demand, using the Naïve Bayes method. The data used are sales records for one year with a total of 8,106 transactions, which after preprocessing resulted in 148 products. Class labels are determined based on the average sales threshold. The dataset is divided using a stratification scheme of 70% training data (103 products) and 30% test data (45 products). The Naïve Bayes algorithm is implemented in RapidMiner Studio software. The evaluation results on the test data show an accuracy of 93.33%, with 89.29% precision and 100% recall in the high demand class, and 100% precision and 85% recall in the low demand class. These findings prove that Naïve Bayes is effective in identifying products with different levels of consumer interest, while also providing practical benefits in the form of stock management recommendations, promotional planning, and data-driven marketing strategies for medium-scale retailers.
Optimasi Access Control List (ACL) Jaringan dalam Menangkal Akses Ilegal Jaringan Cisco Arif, Sulthan Cendikia; Surapati, Untung; Akbar, Yuma; Hidayat, Aditya Zakaria
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1606

Abstract

This study examines how to block unauthorized access while keeping services available in an enterprise network. The approach combines Access Control Lists (ACLs) allow/deny rules on routers and Policy-Based Routing (PBR), which steers specific traffic without changing the main routing setup. The object of study is a lab simulation with four understandable parts: a central network (head office), an applications/services network, a provider/carrier network, and an external network (internet/partners). The method evaluates three scenarios: baseline, ACL, and ACL + PBR, in a virtual environment using straightforward measurements (ping, traceroute, and rule/route activity logs). Results show the internal subnet is closed in both directions as required; the legitimate path from the central network to the services network remains available and balanced via the provider network; there is no route leakage from the external network to unauthorized areas; and PBR successfully guides specific flows without disrupting the primary path. In conclusion, combining ACL + PBR effectively strengthens security while maintaining service availability, serving as a practical guide for multi-domain enterprise networks.
Pengembangan Sistem Kipas Angin Pintar Berbasis IoT untuk Pemantauan Suhu dan Kelembapan secara Real-Time Arief, Yoga Sofyan; Akbar, Yuma
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1607

Abstract

The increase in indoor temperature and humidity often leads to discomfort and excessive energy consumption in conventional fans operated manually. This study aims to develop a smart fan system based on the Internet of Things (IoT) with adaptive control, capable of monitoring temperature and humidity in real-time and adjusting fan speed automatically or manually via a smartphone application. The system was built using a DHT11 temperature and humidity sensor, a NodeMCU ESP8266 microcontroller, and the Blynk IoT platform as the primary interface. Test results show that the sensor achieved an accuracy of ±0.8°C for temperature and ±3% for humidity, with an average data transmission latency of < 2 seconds and a fan response time of < 1 second. The system operated stably for approximately 1 hours without connection interruptions. By applying adaptive control through hysteresis logic, the system has the potential to reduce energy consumption by dynamically adjusting the fan duty cycle compared to conventional fans. This development contributes to creating an adaptive, comfortable, and energy-efficient indoor environment.
Co-Authors AA Sudharmawan, AA Abdul Shomad Abdulloh Abdurrahman Asyam Albahy Abror, Ikhsan Adhipramana, Fernanda Aditya Zakaria Hidayat Aditya Zakaria Hidayat Adzani, Adinda Mutiara Agung Pratama Agung Wianata Sugeng Kusuma Agung Wiranata Sugeng Kusuma Ahluna, Faza Ahmad Suprianto Ahmad Zulfikar Aidil Rizki Hidayat Aimar, Muqorrobin Akhsani, Ziyat Akmaludin Akmaludin Al Ammaar, Mohammad Farroos Albahy, Abdurrahman Asyam Aldi Sitohang Aldino Nur Ihsan Amrullah, Aziz Septian Angga Tristhanaya Anita Rosiana Anwar, Imam Dzikrilloh Ardana, Tegar Rizky Arfadhillah, Zahra Ari Ramadhan Arief, Yoga Sofyan Arif, Sulthan Cendikia Arika Karpina Arinal, Veri Aula, Raisah Fajri Aulia, Mutia Dwi Awang Hariman, Aloisius Az-zahra, Haura Salsabila Azis, Iim Muhaemin Abdul Aziz Septian Amrullah Azzahra, Yasmin Aulia Bachtiar, Yuliana Bebriani, Serli Betty Yel, Mesra Betty Yel, Mesra Bintoro, Bayu Bryan Pratama Cahyono, Bayu Adi Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Dadang Iskandar, Dadang Damayanti, Yulia Dava Septya Arroufu Dedi Dwi Saputra Dewa Gde Adi Murthi Udayana Doddy Mulyadi Saputra Edhy Poerwandono Edhy Poerwandono Edhy Poerwandono Eka Satria Maheswara Fadhil Khanifan Achmad Fadillah, Fauzan Fahmi Chairulloh Faisal Akbar Faisal Akbar Nasution Farhani, Aulia Farisi, Muhamad Fatkul Toriq Febrianti, Syafira Feni Putriani Fentri Boy Pasaribu Fernanda Adhipramana Fitriani Noer Jamilah Franido, Richard Gipari Pradina Abdillah Gusniar Alfian Noor Hafiz, Tegar Muhamad Hartinah, Suci Sugih Hazrul Aswad Hengky, Mario Hidayat, Aditya Zakaria Hutabarat, Joey Abdiner Parlindungan Ikhsan Abror Ikhwanul Kurnia Rahman Jodi Juliansah Juliansah, Jodi Julianto, Muhammad Rizky Julvan Marzuki Putra Sibarani K, Benny Sulaiman Kamali, Muhamad Fawaz Kiki Setiawan Kusuma, Agung Wiranata Sugeng Laia, Apriyanus Laia, Masaranto Lestari, Dinny Amalia M Ilham Setya Aji M Jundi Hakim Mafazi, Luthfillah Marjuki Maulana Putra Hertaryawan, Ryfan Mayangsari, Descania Meilisa Miftahul Huda Mizsuari Muamar Rizky Mohammad Farroos Al Ammaar Muhamad Fikri Nugraha Muhamad Umar Hasan Asrori Muhamad Zaeni Nadip Muhammad Arham Muhammad Arya Ramadhan Muhammad Faizal Lazuardi Mulya, Citra Pricylia Ananda Nirat Nirat Nirat, Nirat Noor, Gusniar Alfian Novianto, Firza NST, Silvan Nufus, Reda Hayati Nugraha, Muhamad Fikri Nur Arif Khairudin Nurfaishal, Muhammad Dzaky Nurmaylina, Vivi Oka Prasetiyo Oktavian, Nur Oky Tria Saputra Oky Tria Saputra7 Pakpahan, Gabriel Alezhandro Pane, Ropindo Pelix Permatasari, Veren Nita Piqih Akmal Poerwandono, Edhy Praja Raymond , Samuel Pramudhi, Aditya Bagas Pramudita, Diky Prasetiyo, Oka Putri S, Dhiyah Labibah Nauli Putri Wibowo, Salsabila Qibthiyah, Mariyatul Qolbi, Rofika Raisah Fajri Aula Ramadhan, Muhammad Arya Regita, Anggit Nur Hannaa Rezha Mulia Revandy Richard Franido Richard Franido Rizki Maulana, Rizki Rizky Adawiyah Rosiana, Grace Lolita S, Fahmi Chairulloh Widia Safhani, Rizca Sahrul Hidayat Sahrul Hidayat Saputra, Mochammed Erryandra Sarimole, Frencis Matheos Septiansyah, Ade Setiawan, Kiki Sibarani, Julvan Marzuki Putra Sinaga, Putri Cahyani SRI LESTARI Sri Lestari Sri Lestari Sugiharto, Tri Sugiyono Sugiyono Sugiyono Sumpena Sumpena Sumpena, Sumpena Surapati, Untung Sutisna Sutisna Sutisna Sutisna Sutisna Suwandi Suwandi Tafonao, Rekardius Tafonao, Wewisman Tegar Muhamad Hafiz Tegar Muhamad Hafiz Toriq, Fatkul Tri Wahyudi Tristhanaya, Angga Tundo, Tundo Untung Surapati Untung Surapati Untung Surapati Untung Wahyudi Untung Wahyudi Vivi Nurmaylina Wahyu Saputro Widya Ayu Lestari Wijaya, Rohmat WINDU GATA Yusril Nurhadi AS