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All Journal Teknika CESS (Journal of Computer Engineering, System and Science) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science JURNAL PENDIDIKAN TAMBUSAI J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Sains dan Teknologi Journal of Applied Engineering and Technological Science (JAETS) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Pengabdian Nasional (JPN) Indonesia J-SAKTI (Jurnal Sains Komputer dan Informatika) AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Sains dan Komputer International Journal Software Engineering and Computer Science (IJSECS) International Journal Education and Computer Studies Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Nasional Teknologi Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Artificial Intelligence and Digital Business CKI On Spot Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia Journal Innovations Computer Science International Journal of Computer Technology and Science International Journal of Information Engineering and Science International Journal of Mechanical, Electrical and Civil Engineering Journal of Engineering, Electrical and Informatics
Sarimole, Frencis Matheos
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
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Vehicle License Plate Object Detection for Vehicle Registration Using Fuzzy Logic Fiky Alannuari; Frencis Matheos Sarimole; Dadang Iskandar Mulyana
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3055

Abstract

Object detection of vehicle license plates plays a role in the efficiency of vehicle data collection systems. There are many factors that make the accuracy and speed of detection on vehicle license plates less than optimal, causing errors in the detection process. The factors that affect the accuracy of object detection of vehicle license plates include clarity, lighting, shadows, color, font type, weather, and others. Based on the advantages of the Fuzzy Logic approach in handling various vague factors and uncertain data, it is hoped that this method can help the detection process to be more accurate and faster. This research aims to develop a method for detecting vehicle license plate objects using the Fuzzy Logic approach so that it can be applied in diverse environments to produce data with consistent accuracy. This research involves the development of software integrated with computers and cameras for vehicle license plate recognition, and also takes some data sources and code from libraries already available in the programming language used. The results of the tests conducted, detection using this Fuzzy Logic approach has an accuracy rate of up to 93.33% and the accuracy of reading the text stored in the database reaches 63.66%.
Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes Pramudya Nugraha; Rasiban; Frencis Matheos Sarimole; Tundo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3020

Abstract

Shin Tae Yong is the coach of the Indonesian national team who has been a football player in South Korea and has coached the South Korean national team at the 2018 World Cup in Russia. Many people watch or pay attention to Shin Tae Yong's behavior and behavior when coaching the Indonesian national team. Shin Tae Yong has considerable worry with the Indonesian national team because of his strategy. However, there are several media that frame Shin Tae Yong's news differently so that differences in viewpoints and opinions on Shin Tae Yong are controversial, inviting many people to give their opinions. Therefore, people choose social media as a place to channel opinions. In this study, we will take tweets from X with search keywords for Shin Tae Yong and the Indonesian national team to process and classify the text using the sentiment analysis method. The text classification process is divided into two classes, namely positive sentiment classes and negative sentiment classes. The data used amounted to 2495 data that had been cleansed, which amounted to 2.348 Positive sentiment data and 147 data with negative sentiments so that they can be presented 98.94% positive and 60.00% negative, based on the classification of the Naïve Bayes algorithm model, using a split comparative data 0.8 :  0.2 With the value of k=3 for Shin Tae Yong's dataset, an accuracy value of 96.67%.
Implementation of a Web-Based Online Registration System for Extracurricular Activities at State Vocational School 72 Jakarta Sarimole, Frencis Matheos; Betty Yel, Mesra; Iqhlima, Salabila Listania; Sidiq, Bagas Maulana; Hidayati, Siti Nur; Bere Tae, Chelvyn Erikson
International Journal Education and Computer Studies (IJECS) Vol. 6 No. 1 (2026): MARCH
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v6i1.6574

Abstract

This study proposes a web-based extracurricular registration system to improve the effectiveness of student activity management at SMK Negeri 72 Jakarta. Currently, the extracurricular registration process is still conducted manually using paper forms, which often causes problems such as slow data processing, data recording errors, limited information access, and ineffective promotion of activities. To address these issues, this research designs a digital registration platform that allows students to view extracurricular information, register online, and monitor registration status easily. The system also provides administrative features for managing extracurricular data, validating student registrations, organizing schedules, and generating reports. Two main user roles are implemented, namely students and administrators. The proposed system is expected to support a faster, more accurate, and more transparent registration process. By adopting this web-based approach, the school can reduce administrative workload, improve service quality, and enhance student participation in extracurricular programs. The proposed system is therefore considered beneficial in supporting school digital transformation and student development activities.
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.
Classification of Neighborhood Unit Cadres’ Satisfaction Levels with the Carik App Using the Naïve Bayes Method in Semper Barat Subdistrict Frencis Matheos Sarimole; Sugiyono Sugiyono; Aditya Zakaria Hidayat; Wida Lestari
International Journal of Information Engineering and Science Vol. 3 No. 1 (2026): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.8

Abstract

This study aims to classify the level of satisfaction of Dasawisma cadres with the Carik application in West Semper Village by utilizing the Naive Bayes method. Data was obtained through questionnaires, which were compiled based on three main aspects: ease of use, speed of access, and the usefulness of applications in supporting cadre tasks. After the data is collected, a pre-processing and labeling process is carried out, where the level of satisfaction of respondents is categorized into two classes, namely "satisfied" and "dissatisfied". The Naive Bayes algorithm is applied to predict satisfaction classes based on questionnaire answers. The results of the analysis show that the Naive Bayes method is able to perform classification with sufficient accuracy, so that it can be used as an evaluation tool and decision support in the development of the carik application. This method can also help the management understand user perceptions and improve the system based on objective and routine data in line with the needs of field cadres.
Effectiveness of Face Recognition-Based Security System on CCTV with Raspberry Pi and Esp32-Cam Using Face Recognition Method Frencis Matheos Sarimole; Satria Wira Yudha; Sutisna Sutisna; Ahas Eko Septianto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.205

Abstract

Current technological advances, such as the internet of things (IOT), have a very broad scope. Especially in the security sector. The fact is that there are many robots that have been made by humans to do jobs that can help humans beyond their abilities. CCTV is very important to protect the house from various types of threats, such as burglary and other hazards. However, a security system that only uses CCTV cameras is no longer secure enough because someone is needed to monitor activities in the CCTV area for 24 hours. As for CCTV that provides facial recognition features, the price is arguably quite expensive. Therefore, we need home security with a more modern, affordable, and effective version of CCTV that utilizes the technology that has been developed to date. In this context, I propose a prototype of a sophisticated, low-cost, Raspberry-PI-based home security system that is integrated with a mobile real-time application. This intelligent robot can monitor the surrounding area by detecting people who are within the range of the camera. notification if a stranger enters the area and is not recognized by the robot to a mobile application that can be installed. The author uses Raspberry Pi hardware as the main control center, OpenCV to perform motion detection and facial recognition, a webserver to make it easier for users to access data and control the system remotely, mobile applications as notification recipients, and real-time monitoring of CCTV. In the tests carried out, the developed IOT-based security system has succeeded in detecting motion and facial recognition with good accuracy and is able to send notifications to smart phones in a short time when suspicious events occur in the house. Thus, this IOT-based home security system can help improve security and comfort by integrating technology and providing more effective and efficient solutions for protecting homes and buildings from various types of threats
Implementation of Naive Bayes Algorithm and Support Vector Machine for Public Sentiment Analysis towards Imported Clothing Ban Veri Arinal; Frencis Matheos Sarimole; Kiki Setiawan; Ahmad Ramdani
Journal of Engineering, Electrical and Informatics Vol. 2 No. 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.313

Abstract

This research was conducted to find out the public's opinion on the Issue of Imported Clothing on Twitter social media. One of the algorithms that can be used to carry out sentiment analysis is Naïve Bayes and Support VectorMachine. In this research the author aims to use the Naïve Bayes Algorithm and Support Vector Machine in analyzing positive and negative sentiment labels. The final result of the comparison with these two test methods, namely the prediction of public sentiment on the issue of imported clothing based on data obtained from Twitter and implemented using the SVM (Support Vector Machine) method, shows an accuracy value of 87.89%. Of the 603 test data, it is predicted that 194 data are Positive Sentiment and 409 data are Negative Sentiment. For prediction results from Negative Sentiment, there are 603 data predicted Negative and 2 data predicted Positive. and the Naive Bayes method shows an accuracy value of 97.01%. Of the 603 test data, it is predicted that 409 data are Negative Sentiment and 194 data are Positive Sentiment.
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.
Co-Authors Abdillah, Junindo Abdulloh Achmad Syaeful Aditya Zakaria Hidayat Ahas Eko Septianto Ahmad Baidowi Ahmad Ramdani 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 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 Fentri Boy Pasaribu Fiktor Kurnia Tafonao Fiky Alannuari Ginting, Yafet Nikolas Guntara, Arya Hakim, Lukamanul Haryati Heri Rizky Firdaus Ikhwanul Kurnia Rahman 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 Nurmayanti, Laily Nurmaylina, Vivi Oky Tria Saputra7 Praja Raymond , Samuel Pramudya Nugraha Purwandono, Eddy Purwanto, Helmi Purwasih, Intan Rahmah, Shafira Azzahra Nurul Raihan, Farid Raihanah, Syifa Randitia Ridad Diadi Rasiban Richardviki Beay Rindy Julianda Rizky Adawiyah Romadan, Diva Putra Saepudin Satria Wira Yudha Septian, Wahyu Septiansyah, Muhamad Aqil Septianto, Ahas Eko Setiawan, Kiki Siahaan, Bangun Sidiq, Bagas Maulana Siti Nur Hidayati SOPAN ADRIANTO Sugeng Sugeng Sugiono Sugiono Sugiyono Sugiyono Sugiyono Surapati, Untung Sutisna Sutisna Sutisna Syaeful, Achmad Tanjung, Cici Yolanda Tasya Aisyah Amini Tracy Olivera Lingga Tundo, Tundo Untung Wahyudi Wibawa, Andri Putra Wida Lestari Widianto Putro, Faris Wijayanto, Willy Yakob, Galih Satria Yuliantoro, Dita Tri