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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) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Nasional Teknologi Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science CKI On Spot Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia Journal Innovations Computer Science
Sarimole, Frencis Matheos
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
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Klasifikasi Penjualan Produk Terlaris Pada Kedai Ira Dengan Menggunakan Algoritma Naïve Bayes Dan Algoritma K-Nearest Neighbor Purwasih, Intan; Setiawan, Kiki; Sarimole, Frencis Matheos; Tundo, Tundo
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
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%.
Application of Decision Tree Method for Sales Prediction at PT. Cipta Naga Semesta (Mayora Group) North Jakarta for 2023 Beay, Richardviki; Sarimole, Frencis Matheos
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.v4i3.2999

Abstract

The purpose of this study is to forecast sales of PT. Cipta Naga Semesta, one of the companies owned by Mayora Group headquartered in North Jakarta using the Decision Tree method during 2023. Decision Tree was chosen because this model identifies key attributes that greatly affect sales in the data and has the ability to predict outcomes by recognizing patterns in historical data. The database used in this analysis includes monthly records of sales, promotions, prices, and other economic characteristics. The findings of the study indicate that the Decision Tree method is very effective in providing accurate sales predictions with a low margin of error. The forecast provides valuable perspectives for company management, which can help them design tighter sales strategies and make better inventory decisions, thereby maximizing operational efficiency and profitability. In addition, the exploration of sales prediction models is one of the future works proposed in this study, which recommends practitioners to explore alternative methods to improve forecast accuracy and robustness.
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
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%.
Co-Authors Abdillah, Junindo Abdulloh Achmad Syaeful Aditya Zakaria Hidayat 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 Azis, Abd Barronzoeputra, Gaoeng Qalbun Beay, Richardviki Betty Yel, Mesra Bili, Yudisman Ferdian Bimantoro, Dava Sevtiandra Brian - Pangestu Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Dava Septya Arroufu Diadi, Randitia Ridad Fadhil Khanifan Achmad Fahmi Chairulloh Fahmi, Hakon Feni Putriani Fentri Boy Pasaribu Ginting, Yafet Nikolas Guntara, Arya Hakim, Lukamanul Haryati Heri Rizky Firdaus Ikhwanul Kurnia Rahman Karim, Lutfi 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 Purwandono, Eddy Purwanto, Helmi Purwasih, Intan Rahmah, Shafira Azzahra Nurul Raihan, Farid Raihanah, Syifa Randitia Ridad Diadi Rasiban Rizky Adawiyah Romadan, Diva Putra Saepudin Septian, Wahyu Septiansyah, Muhamad Aqil Septianto, Ahas Eko Setiawan, Kiki Siahaan, Bangun Sugiono Sugiono Sugiyono Surapati, Untung Sutisna Syaeful, Achmad Tanjung, Cici Yolanda Tasya Aisyah Amini Tundo, Tundo Untung Wahyudi Wibawa, Andri Putra Widianto Putro, Faris Yakob, Galih Satria Yuliantoro, Dita Tri