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Implementasi Mikrotik untuk Kebutuhan Access Internet Pelanggan UMKM Warung Kopi Opung Kemayoran Jakarta Pusat Wijayanto, Willy; Sarimole, Frencis Matheos; Yel, Mesra Betty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6453

Abstract

Perkembangan teknologi informasi menjadikan akses internet sebagai kebutuhan yang penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM), khususnya warung kopi yang menyediakan layanan WiFi publik bagi pelanggan. Warung Kopi Opung Kemayoran Jakarta Pusat sebagai objek penelitian menghadapi permasalahan berupa koneksi internet yang kurang stabil, pembagian bandwidth yang tidak merata, serta belum optimalnya sistem keamanan dan autentikasi pengguna. Permasalahan tersebut berdampak pada menurunnya kualitas layanan dan kenyamanan pelanggan. Kegiatan Kuliah Kerja Praktek ini bertujuan untuk merancang dan mengimplementasikan manajemen jaringan berbasis MikroTik RouterOS sebagai solusi untuk meningkatkan kualitas layanan akses internet. Metode yang digunakan adalah metode campuran (mixed method), meliputi observasi dan wawancara dengan pengelola sebagai data kualitatif, serta pengukuran parameter jaringan seperti throughput, latency, jitter, dan kecepatan akses sebagai data kuantitatif. Implementasi dilakukan melalui konfigurasi dasar MikroTik, penerapan firewall dan keamanan jaringan, pengelolaan bandwidth menggunakan metode Per Connection Queue (PCQ) dan Queue Tree, serta penerapan hotspot dengan sistem captive portal untuk autentikasi pengguna. Hasil implementasi menunjukkan bahwa pengelolaan akses internet menjadi lebih stabil, merata, dan terkontrol. Kesimpulannya, penerapan manajemen jaringan berbasis MikroTik efektif meningkatkan kualitas layanan internet. Solusi ini dapat direkomendasikan sebagai penerapan praktis bagi UMKM dalam mengelola jaringan internet secara aman dan berkelanjutan.
Classification Of Image Corner Point Detection System To Identify A Shape Using The Viola Jones Method Frencis Matheos Sarimole; Sopan Adrianto; Dedi Gunawan; Fiktor Kurnia Tafonao
International Journal of Computer Technology and Science Vol. 1 No. 3 (2024): July : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i3.314

Abstract

Along with the times, computer technology is developing very rapidly. The increasingly rapid development of computer technology means that everyone is required to utilize computer technology in their daily lives. Utilization of technology is one of the implementation roles of scientific disciplines. The reason behind the formation of this research is so that in the future it will become a fun learning concept in the introduction of objects and shapes in children and the motor development of children. children are usually more interested in seeing pictorial text, or pictures that contain lots of color. The Viola Jones method itself was chosen as the research completion algorithm. The Viola Jones method is usually used as a method in research that discusses the detection of objects, faces and others. The Viola Jones method was chosen because it has a high level of accuracy that can reach 100% probability.
Chili Pepper Variety Detection System Using the Principal Component Analysis Method Veri Arinal; Frencis Matheos Sarimole; Sugeng Sugeng; Rindy Julianda
International Journal of Mechanical, Electrical and Civil Engineering Vol. 1 No. 1 (2024): January : International Journal of Mechanical, Electrical and Civil Engineering
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmecie.v1i1.273

Abstract

In the agricultural sector, the automatic identification of chili pepper varieties is crucial for improving production efficiency and quality. This study developed a chili pepper variety detection system based on characteristics using the Principal Component Analysis (PCA) method. The PCA method was used to reduce the dimensionality of chili pepper image data, thereby facilitating the classification process while retaining the key features necessary for chili pepper variety identification. The recognition system for chili pepper identification involves inputting chili pepper image data into a computer. The computer then interprets and identifies the chili pepper variety, and the test data utilizes a dataset of chili pepper images from various varieties. The research results indicate that the proposed system achieves a high level of accuracy in detecting and classifying chili pepper varieties. Consequently, this system can assist farmers and agricultural industry stakeholders in the chili pepper sorting and selection process, thereby improving operational efficiency and the quality of the harvest.
Implementation of an RFID Card Based Automatic Door Lock System Using NodeMCU with Integration of Telegram Notifications and IoT Services Frencis Matheos Sarimole; Satria Wira Yudha; Sutisna Sutisna; Roid Adip Akmal
International Journal of Applied Mathematics and Computing Vol. 2 No. 4 (2025): October : International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i4.126

Abstract

In the digital era, the demand for practical and efficient security systems has significantly increased, particularly in the context of access control for restricted rooms or buildings. This research aims to develop an automatic door locking system utilizing an RFID card and a NodeMCU ESP32 microcontroller integrated with Internet of Things (IoT) technology through real-time notifications using the Telegram application. The system is designed to replace conventional locking methods that often present various weaknesses, such as key loss, physical duplication, and lack of remote access capabilities. The development method employed is the Research and Development (R&D) approach, consisting of needs analysis, system design, hardware and software implementation, followed by testing and evaluation. The main components used in the system include the RC522 RFID reader for user identification, Espressif manufactures the ESP-32 microcontroller, which is equipped with Wi-Fi and Bluetooth modules to enable wireless internet connections. NodeMCU ESP32 as the control center and internet connector, a relay module as an electronic switch, and a solenoid door lock as the actuator. The results show that the system is capable of accurately reading RFID card UIDs, granting access to registered cards, activating the solenoid to unlock the door, and sending access status notifications to Telegram in an average of less than three seconds. The system also effectively denies access to unregistered cards and sends warning messages accordingly. Therefore, this system enhances the security and efficiency of room access control and has the potential to be adopted as a prototype solution in the development of smart homes or modern access control systems.
Development of an E-Commerce Website Integrated with a Payment Gateway for Basreng RZQ Small and Medium Enterprise in Bandung Nur Aswan Multazam; Frencis Matheos Sarimole
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7588

Abstract

This study aims to develop an e-commerce website integrated with the Midtrans payment gateway for Basreng RZQ, a micro, small, and medium-sized enterprise (MSME) in Bandung. The study is motivated by operational challenges in reconciling daily transaction data due to the absence of an internal admin panel on the existing website. This condition has the potential to cause errors in manual bookkeeping and increase the workload of business operators. To address these problems, an e-commerce platform was developed to enable customers to order products and make digital payments without requiring account registration. The study employed a descriptive-evaluative qualitative case study with a lean architecture approach. Data were collected through observation, interviews, and documentation and were analyzed based on the transaction processes and operational needs of the MSME. Functional system testing was conducted using the black-box testing method based on ordering and payment verification scenarios. The results indicate that the integration of the Midtrans payment gateway supports automated payment verification and helps simplify transaction management. The developed system also provides a more structured alternative for recording transactions compared with manual bookkeeping. This study provides a practical solution for supporting the digitalization of sales and payment processes in MSMEs and may serve as a reference for developing e-commerce systems integrated with digital payment services.
Implementation of a Web-Based Inventory Monitoring System at Optik Sanjaya Depok Axel Rajaliu Chaniago; Frencis Matheos Sarimole
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8249

Abstract

Optik Sanjaya Depok, a micro, small, and medium enterprise (MSME) engaged in eyewear retail, still recorded its eyeglasses stock manually in handwritten ledgers, which frequently resulted in recording errors, delayed stock updates, difficulty in determining available items, and time-consuming report preparation. This study aimed to design and implement a web-based stock monitoring system to establish more structured, efficient, and traceable inventory management for the store. The system was developed using the Waterfall software development life cycle, covering requirement analysis, Unified Modeling Language (UML) and Entity-Relationship Diagram (ERD) design, implementation using PHP Native, MySQL, and Bootstrap, and testing. The system provides role-separated access for the Administrator and the Warehouse Admin, a summary dashboard, user management, item and item-category data management, incoming-stock and outgoing-stock recording that automatically updates item quantities, real-time stock monitoring, stock reporting with Excel export, and DataTables-based search, filter, sort, and pagination. Black box testing was applied to ten core features, and every test scenario produced the expected result. User Acceptance Testing using a five-point Likert-scale questionnaire completed by two respondents consisting of the owner and warehouse staff of Optik Sanjaya Depok yielded average scores between 4.7 and 4.9 (overall average 4.82). The system replaced the manual recording process and supported centralized, consistent stock recording; the reduction of stock-data errors was not measured quantitatively in this study and is therefore not claimed as a research finding. These findings indicate that a role-based, web-based stock monitoring system is a feasible initial step in the digital transformation of small-scale optical retail businesses.
Klasifikasi Penjualan Produk Terlaris Pada Kedai Ira Dengan Menggunakan Algoritma Naïve Bayes Dan Algoritma K-Nearest Neighbor Intan Purwasih; Kiki Setiawan; Frencis Matheos Sarimole; Tundo Tundo
TEKNIKA Vol. 18 No. 2 (2024): TEKNIKA
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13236656

Abstract

Di dunia ritel dan teknologi saat ini, persaingan sangat kompetitif. Dengan Dengan pertumbuhan dan tersebarnya bisnis ritel di setiap wilayah, kebutuhan konsumen semakin meningkat, dan bisnis ritel berlomba-lomba untuk mengembangkan bisnis mereka dengan menggunakan teknologi saat ini. Data transaksi penjualan harian yang terus meningkat menyebabkan banyaknya penyimpanan. Toko Ira memiliki lebih dari 228 rekaman data transaksi penjualan dari tahun 2023 hingga 2024 yang belum digunakan. Data memerlukan banyak ruang penyimpanan. Selain itu, data tersebut belum digunakan dengan cara yang efektif. Berdasarkan masalah, tujuan penelitian ini adalah untuk menentukan barang mana yang paling laris dengan menggunakan data mining untuk mengklasifikasikan data transaksi penjualan. Studi kasus ini adalah studi kualitatif. Hasil penelitian ini menunjukkan bahwa algoritma K-Nearest Neighbors (KNN) dengan pembagian data 50:50 lebih efektif dalam memprediksi dan mengklasifikasikan penjualan produk laris dan tidak laris di toko kedai ira. Hasilnya menunjukkan bahwa algoritma Naive Bayes memiliki akurasi sebesar 89,91%, sedangkan algoritma K-Nearest Neighbors (KNN) dengan pembagian data 50:50 memiliki akurasi sebesar 89,91%.
Co-Authors Abdillah, Junindo Abdulloh Achmad Syaeful Ahmad Baidowi Akbar, Firman Aulia Akbar, Yuma Alannuari, Fiky Alwi Renaldhy Amelia, Ika Andrian Nur Ihsan Anita Rosiana Apriyanto, Kevin Jonathan Ari Ramadhan Arinal, Veri Aryanti, Putri Gea Awang Hariman, Aloisius Axel Rajaliu Chaniago Azis, Abd Barronzoeputra, Gaoeng Qalbun Beay, Richardviki Bere Tae, Chelvyn Erikson Betty Yel, Mesra Betty Yel, Mesra Bili, Yudisman Ferdian Bimantoro, Dava Sevtiandra Brian - Pangestu Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Dava Septya Arroufu Dedi Gunawan Diadi, Randitia Ridad Fadhil Khanifan Achmad Fahmi Chairulloh Fahmi, Hakon Feni Putriani Fiktor Kurnia Tafonao Fiky Alannuari Ginting, Yafet Nikolas Guntara, Arya Hakim, Lukamanul Haryati Heri Rizky Firdaus Ikhwanul Kurnia Rahman Intan Purwasih Iqhlima, Salabila Listania Karim, Lutfi Kiki Setiawan Kudrat, Kudrat Kurnia, Mega Tri Lingga, Tracy Olivera Lutfi Karim Marjuki Marliani, Tiara Meilisa Miftahul Huda Muhammad Ilham Fadillah Novianto, Firza Nufaisa Almazar Nugraha, Pramudya Nur Arif Khairudin Nur Aswan Multazam Nurmayanti, Laily Nurmaylina, Vivi Oky Tria Saputra7 Praja Raymond , Samuel Pramudya Nugraha Purwandono, Eddy Purwanto, Helmi Rahmah, Shafira Azzahra Nurul Raihan, Farid Raihanah, Syifa Randitia Ridad Diadi Rasiban Richardviki Beay Rindy Julianda Rizky Adawiyah Roid Adip Akmal Romadan, Diva Putra Saepudin Satria Wira Yudha Septian, Wahyu Septiansyah, Muhamad Aqil Septianto, Ahas Eko Siahaan, Bangun Sidiq, Bagas Maulana Siti Nur Hidayati SOPAN ADRIANTO Sugeng Sugeng Sugiono Sugiono Sugiyono Surapati, Untung Sutisna Sutisna Sutisna Syaeful, Achmad Tanjung, Cici Yolanda Tasya Aisyah Amini Tracy Olivera Lingga Tundo Tundo Tundo, Tundo Untung Wahyudi Wibawa, Andri Putra Widianto Putro, Faris Wijayanto, Willy Yakob, Galih Satria Yuliantoro, Dita Tri