Article Per Year (5 Year)
p-Index From 2021 - 2026
7.255
P-Index
This Author published in this journals
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 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 Applied Mathematics and Computing. International Journal of Computer Technology and Science International Journal of Mechanical, Electrical and Civil Engineering
Sarimole, Frencis Matheos
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 57 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 57 Documents
Search

 2   3   4   5   6 
Analysis of Scooter Spare Parts Sales at Harapan Indah Scooter Using the K-Means Algorithm Sarimole, Frencis Matheos; Lingga, Tracy Olivera
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.v4i3.3026

Abstract

: K-means clustering algorithm has been used in this study to analyze the sales performance of scooter spare parts at Harapan Indah Scooter. By using the K-means method, researchers can classify products into 3 categories according to their sales volume. The purpose of this analysis is to identify patterns in sales data and compare the characteristics of each product group. Researchers can see the output from the previous step shows three clusters: Low, Medium, and High Sales. Associating products with these categories Empowers improved tracking of sales movements and fluctuation trends in product options. The findings of this study can be useful in the field of inventory management and to develop marketing strategies to increase product sales. Companies can find out which products fall into which categories and therefore can make better decisions on how to manage stock and promotional efforts. These findings are the first step to maintain and improve sales performance and optimize Harapan Indah Scooter business
Vehicle License Plate Object Detection for Vehicle Registration Using Fuzzy Logic Alannuari, Fiky; Sarimole, Frencis Matheos; Mulyana, Dadang Iskandar
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 Nugraha, Pramudya; Rasiban; Sarimole, Frencis Matheos; 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%.
Prototipe Sistem Monitoring Kelembapan Tanah pada Tanaman Cabai Berbasis Internet of Things dengan Metode Fuzzy Logic Menggunakan NodeMCU Esp8266, Blynk dan Thingspeak: Prototype of Soil Moisture Monitoring System for Chili Plants Based on Internet of Things Using Fuzzy Logic Method with NodeMCU ESP8266, Blynk, and ThingSpeak Romadan, Diva Putra; Arinal, Veri; Sarimole, Frencis Matheos; Tundo, Tundo
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 1 (2025): MALCOM January 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i1.1600

Abstract

Pengelolaan kelembapan tanah yang optimal sangat penting untuk pertumbuhan tanaman cabai, namun sering kali menjadi tantangan bagi petani, terutama dalam memastikan irigasi yang efisien. Masalah utama yang dihadapi adalah kesulitan dalam memantau dan mengontrol kondisi tanah secara real-time, yang sering kali menyebabkan penyiraman berlebihan atau kurang. Penelitian ini bertujuan untuk mengembangkan prototipe sistem monitoring kelembapan tanah berbasis Internet of Things (IoT) dengan menggunakan NodeMCU ESP8266. Sistem ini mengintegrasikan sensor tanah, suhu, dan kelembapan udara, di mana data dikirimkan secara real-time ke aplikasi Blynk untuk pemantauan dan kontrol jarak jauh. Metode Fuzzy Logic diterapkan untuk mengoptimalkan irigasi secara otomatis berdasarkan data sensor, sementara ThingSpeak digunakan untuk penyimpanan dan analisis data jangka panjang. Hasil pengujian menunjukkan bahwa sistem ini efektif menjaga kelembapan tanah pada tingkat ideal dan menghemat penggunaan air. Kesimpulannya, sistem ini memberikan solusi praktis dan efisien bagi petani dalam mengelola irigasi tanaman cabai secara berkelanjutan.
Perancangan Sistem Informasi Warga di Rw 01 Kelurahan Kebon Bawang Berbasis Web Sarimole, Frencis Matheos; Surapati, Untung; Purwandono, Eddy; Karim, Lutfi; Diadi, Randitia Ridad; Syaeful, Achmad; Wibawa, Andri Putra
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.469

Abstract

Rukun Warga 01 is an area located in Kebon Bawang Village, Tanjung Priok District, Central Jakarta. Where, currently RW 01 services are still carried out conventionally, starting from population data management, administration in the form of cover letters, disseminating information from RW to each RT. Data processing is currently done by recording in the bookkeeping archive. Dissemination of information to residents still relies on information boards or through person to person, and administrative letters such as cover letters have not implemented computerized methods or are still using manuals. Knowing this, the current system is considered to be still less effective if used continuously it can make it difficult to find data, errors often occur and the distribution of information is uneven. Therefore, a website-based information system was created. To support this, the authors collect information through observation, interviews, literature study. The system development methodology used is the SDLC (System Develop life Cycles) method using the Waterfall model. This website is made with PHP programming language and MySQL as database. The results of the research This information system makes a computerized system that makes it easier for RW administrators to collect citizen data and provide information that is accurate and fast, and evenly distributed
Manajemen Jaringan Internet Menggunakan Router Mikrotik Dengan Fitur Marking Connection, Simple Queue, Dan Traffic Priority (Studi Kasus Yayasan Pendidikan Harapan Salahudin) Purwanto, Helmi; Tanjung, Cici Yolanda; Apriyanto, Kevin Jonathan; Sarimole, Frencis Matheos
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 2 (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/intecoms.v8i2.14521

Abstract

Pengelolaan internet yang tepat bagi lembaga pendidikan seperti Yayasan Pendidikan Harapan Salahudin sangat penting agar ketika mengakses internet berjalan dengan lancar. Adapun perangkat yang bisa digunakan untuk memanage jaringan internet tersebut yaitu dengan menggunakan router. Router adalah perangkat jaringan yang berfungsi sebagai penghubung beberapa jaringan yang berbeda baik dalam satu area lokal maupun jaringan yang lebih luas.Router mengatur lalu lintas data antar jaringan dan memastikan setiap paket datanya mencapai tujuannya yang benar. Namun pada saat ini, di Yayasan Pendidikan Harapan Salahudin belum adanya manajemen internet yang dilakukan sehingga ketika perangkat-perangkat seperti PC, Laptop, dan HP terkoneksi ke wifi, berjalan lambat. Pada kesempatan ini, kami akan melakukan implementasi manajemen internet dengan menggunakan router Mikrotik. Fokus utama pada implementasi manajemen internet ini yaitu dengan mengkonfigurasi bandwidth secara merata kepada perangkat yang terkoneksi, dan membuat prioritas koneksi internet ketika suatu perangkat akan mengakses ke suatu web atau aplikasi yang sering dibuka di lingkungan yayasan seperti website pendidikan milik pemerintah untuk melakukan administrasi, dan platform berlajar seperti E-Learning serta mengatasi blankspot pada area tertentu yang terdapat banyak guru dan staff.
Classification Of Guarantee Fruit Murability Based on HSV Image With K-Nearest Neighbor Frencis Matheos Sarimole; Muhammad Ilham Fadillah
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.607 KB) | DOI: 10.37385/jaets.v4i1.929

Abstract

Guava bol is one of the fruits from Indonesia that is favored by many Indonesian people. The guava itself has a soft and dense flesh texture compared to water guava. The guava itself has a pink color if it is raw but if the guava is ripe it will be dark red. From a glance, when viewed from human vision, it is very easy to distinguish between them, but from most people it is still difficult to distinguish which guava is ripe, half-ripe and unripe guava because of differences in opinion from one human eye to another. Based on these problems, researchers have developed a system that is able to detect the maturity level of guava fruit by utilizing the Hue Saturation Value (HSV) feature extraction with K-Nearest Neighbor (KNN). The data used in this study were 465 datasets which were divided into 324 training data and 141 test data. The data had classes, namely ripe, half-cooked, and raw. The data is then classified using the K-Nearest Neighbor method by calculating the closest distance with a value of K = 3. From this study resulted in an accuracy of 97.16%.
Penerapan Algoritma Naive Bayes Dalam Mengetahui Pola Pengguna Keluarga Berencana Pada Tempat Praktek Mandiri Bidan (TPMB) Lilik Faiqoh Sugiono, Sugiono; Marliani, Tiara; Sarimole, Frencis Matheos; Tundo, Tundo
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61406

Abstract

Seiring kemajuan teknologi dan informasi yang semakin berkembang, dan menjadikan masyarakat paham akan pentingnya segala informasi, termasuk tentang Keluarga Berencana atau KB. Berdasarkan observasi dan wawancara dengan bidan Lilik Faiqoh bahwa yang menjadi masalah kurangnya penyuluhan terhadap masyarakat, supaya masyarakat paham apa saja alat kontrasepsi yang ada di TPMB Lilik Faiqoh Jakarta Timur. Untuk mengatasi masalah tersebut, maka Algoritma Naive Bayes merupakan salah satu algoritma machine learning yang dapat digunakan untuk mengklasifikasikan data. Tujuan dari penelitian ini adalah untuk menentukan penerapan Algoritma Naive Bayes dalam mengetahui pola pengguna Keluarga Berencana pada TPMB Lilik Faiqoh dengan mencakup identifikasi jenis kontrasepsi (KB) yang paling sering digunakan. Kemudian untuk data Keluarga Berencana ini akan dilakukan dengan proses penerapan metode CRISP-DM. Penelitian ini diharapkan dapat meningkatkan layanan TPMB Lilik Faiqoh dan memberikan manfaat yang lebih besar bagi masyarakat setempat dalam hal penyediaan layanan kesehatan.
Sistem Data Mining Penentuan Prioritas terhadap Penerima Bantuan Bencana Banjir dengan Metode Naive Bayes dan Klusterisasi K-Means (Studi Kasus: Wilayah Cengkareng 2025) Sarimole, Frencis Matheos; Nurmayanti, Laily
Jurnal Pengabdian Nasional (JPN) Indonesia 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/jpni.v6i3.1609

Abstract

This research develops a ranking system for flood aid recipients in Jakarta, focusing on Cengkareng, by utilizing K-Means and Naïve Bayes algorithms. Data were obtained from Satu Data Jakarta (2025), comprising 158 records with attributes including region, sub-district, village, average water level, affected RWs, families, individuals, and flood events. The analytical workflow encompasses data cleaning and normalization, risk level clustering using K-Means (three categories: high, medium, low), and predictive classification with Naïve Bayes. Model evaluation at training-testing splits of 70:30, 80:20, and 90:10 reveals that the combined K-Means and Naïve Bayes approach achieves the highest accuracy of 98.18%, significantly outperforming conventional Naïve Bayes which reached only 43.47%. This improvement demonstrates the effectiveness of combining both algorithms for complex data classification. The developed system expedites the prioritization process, facilitates local teams in verifying recipient lists, and enhances the precision of aid distribution and evacuation. Field simulations with community members were conducted to assess the system’s practical implementation and ensure direct access to flood risk information. Future development will focus on integrating external variables such as real-time rainfall data and expanding field testing to other regions.
Pengenalan dan Edukasi Motif Batik Untuk Sekolah Dasar Negeri Pondok Bahar 06 Menggunakan Metode Convolution Neural Network (CNN) Bili, Yudisman Ferdian; Sarimole, Frencis Matheos
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.v6i3.1573

Abstract

Batik is a cultural heritage of Indonesia rich in philosophical values and diverse motifs. However, a deep understanding of its meaning remains limited among elementary school students. This study aims to develop an educational application based on Convolutional Neural Networks (CNN) to introduce and classify batik motifs such as Kawung, Parang, Megamendung, and Truntum in an interactive manner. The batik image dataset was obtained from various online sources and underwent preprocessing, augmentation, training, and testing stages using the CNN model. The developed application was then tested with students from SD Negeri Pondok Bahar 06 using a pre-test and post-test method. Test results indicated that the CNN model was able to recognize batik motifs with adequate accuracy. Moreover, there was a significant improvement in students’ understanding of the philosophical meanings behind the motifs after using the application. Thus, integrating CNN technology into cultural learning proves to be effective in enhancing student interest and comprehension. This research is expected to serve as a reference for developing AI-based educational media to preserve local culture in the digital era.
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