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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Informatika Jurnal Teknologi Teknosains: Media Informasi Sains dan Teknologi Scientific Journal of Informatics Jurnal Komtika (Komputasi dan Informatika) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Telematika CCIT (Creative Communication and Innovative Technology) Journal Abdimasku : Jurnal Pengabdian Masyarakat Infotech: Journal of Technology Information Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Teknologi Buffer Informatika Jurnal Komtika (Komputasi dan Informatika) Jurnal Informatika Dan Tekonologi Komputer Jurnal Teknik Informatika dan Teknologi Informasi
Rahmat Sulaiman
ISB Atma Luhur
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Physics Social Sciences Other

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MENINGKATKAN PROMOSI DAN PENGUATAN SDM MELALUI PEMBUATAN MEDIA PROMOSI BAGI PARA UMKM Sugihartono, Tri; Sulaiman, Rahmat; Alkayess, Ahmad Faqih; Indallah, Royhan; Yanuarti, Elly
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 4 No 1 (2023): Volume 4, Nomor 1, Mei 2023
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/abdimastek.v4i1.1672

Abstract

Pada era Revolusi Industri 4.0 penggunaan teknologi, komunikasi, dan informasi semakin maju dan terus berkembang. Proses ini terus mengalami kemajuan yang terbilang cukup pesat. Dengan kemajuan yang pesat ini digitalisasi sangat membantu masyarakat dengan memberikan kemudahan juga menciptakan banyak perubahan. Begitupun para UMKM harus bisa membuat berbagai macam inovasi yang berlandaskan teknologi yang bisa digunakan untuk kegiatan sehari-hari. Tujuan dari adanya digitalisasi adalah untuk membantu pelanggan dalam memudahkan segala aktivitas dan pekerjaan mereka sehari-hari. Dengan adanya latar belakang diatas maka tantangan kita sebagai masyarakat saat ini adalah sadar digitalisasi, salah satunya di bidang desain grafis, Proses Digitalisasi di bidang UMKM dapat berupa pembuatan desain digital, dan penggunaan media sosial,. 2 unsur tersebut yang dapat saling keterkaitan dan mempunyai dampak yang cukup besar. Sehingga pelaku UMKM dapat memberikan informasi kepada masyarakat tentang produk yang dijual secara luas. diharapkan dengan adanya pembinaan UMKM di keluarahan ampui dapat memberikan kontribusi nyata dalam pelaksanaan dan pembinaan terhadap UMKM di kelurahan ampui.
WORKSHOP DIGITAL MARKETING SEBAGAI UPAYA PENGUATAN KUALITAS PEMBELAJARAN DAN PENGUASAAN TEKNOLOGI Yanuarti, Elly; Sarwindah, Sarwindah; Sugihartono, Tri; Sulaiman, Rahmat
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 4 No 2 (2023): Volume 4, Nomor 2, Oktober 2023
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/abdimastek.v4i2.2010

Abstract

Dunia pemasaran digital saat ini sudah berkembang dan terus berubah seiring penggunaan internet yang semakin tinggi dan adanya teknologi dan tren baru yang muncul. Digital marketing yang merupakan pemasaran interaktif dan terpadu memudahkan interaksi antara produsen, perantara pasar dan konsumen. Tujuan dari pengabdian kepada masyarakat ini adalah untuk meningkatkan kompetensi pendidik dalam memanfaatkan teknologi digital untuk meningkatkan promosi sekolah dan memasarkan produk kreatif yang dihasilkan oleh peserta didik di setiap jurusan. Workshop digital marketing ini menjadi wadah agar tercapainya tujuan untuk peningkatan kualitas pembelajaran dan penguasaan teknologi 4.0 dari kurikulum merdeka. Workshop ini akan membantu para pendidik lebih memahami cara mengintegrasikan teknologi dalam pembelajaran sehingga peserta didik memiliki bekal dan siap dalam menghadapi tantangan dunia digital.
IMPLEMENTATION OF C4.5 ALGORITHM FOR ASSESMENT OF COMMUNITY SATISFACTION Rahmat Sulaiman; Agustina Mardeka Raya; Laurentinus; Aria Setiawan
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1826

Abstract

This Research applies the C4.5 Algorithm in deciding community satisfaction of sommunity services. Algorithm C4.5 is a classification algorithm with a decision tree technique that is well known and preferred because it has many advantages. These advantages, for example, can process numeric and discrete data, can handle missing attribute values, produce rules that are easy to interpret and the fastest. This research is a classification with the concept of data mining involving 20 community questionnaire data which are categorized as: cheap, expensive, appropriate, inappropriate, fast, long, comfortable, uncomfortable. There are four attributes that affect community satisfaction including: handling costs, service procedures, handling time and convenience. From the results of this research that has been conducted by researchers, it can be concluded. The customer satisfaction of the community services can be predicted and evaluated by utilizing data mining techniques using the C4.5 Algorithm to predict community satisfaction. This research also provided that C4.5 Algorihtm can be used to get high result of accuracy
IMPLEMENTASI METODE ACCESS CONTROL LIST PADA MIKROTIK DALAM MENGAMANKAN JARINGAN INTERNET DI KANTOR LURAH AIR SELEMBA Rahmat Sulaiman; Rab Sahf Al Fathul; Agustina Mardeka Raya
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.2880

Abstract

To meet the minnimum requirements of people who want to get information quickly and easily, the need for internet access is very high. Thus, we must continue to look for and strive for quality. There is a delay in communication and there is no filtering for devices connected to Office of Salemba’s internet. This is because there is no way to regulate the access rights for each device on the network, therefore it is necessary to implement the Access Control List (ACL) method on computer networks with the aim of making staff or employees more stable when working. In getting internet access, the development used is NDLC consisting of Analysis, Design, Prototyping Simulation, Implementation, Monitoring and Management. Data collection methods are literature study, observation and interviews. The routerboard that has been used is RB941-2nd. The results obtained from this research are that this method is very helpful in limiting the number of clients who get the internet and filtering unauthorized packets.
Optimalisasi Pembangunan Desa: Prediksi Kebutuhan Intervensi Ekonomi di Jawa Barat Menggunakan Algoritma Machine Learning Isnanto, Burham; Sulaiman, Rahmat
Buffer Informatika Vol. 12 No. 1 (2026): Buffer Informatika
Publisher : Department of Informatics Engineering, Faculty of Computer Science, University of Kuningan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/buffer.v12i1.519

Abstract

Rural development plays a crucial role in reducing economic disparities, particularly in West Java, which comprises 5,311 villages with substantial variation in the Village Development Index (Indeks Desa Membangun/IDM). This study develops a machine-learning-based predictive model to classify villages’ economic intervention needs by utilizing multidimensional data—economic, social, and infrastructure indicators—sourced from BPS and the Ministry of Villages. Three machine learning algorithms—Random Forest, Gradient Boosting, and XGBoost—were evaluated using the 2023 West Java IDM dataset, which includes several relevant variables.The preprocessing stage involved handling missing values, data normalization, and data transformation, while hyperparameter optimization using GridSearchCV significantly improved model accuracy. The results indicate that XGBoost outperformed the other algorithms, achieving an accuracy of 88% and an F1-score of 0.93, particularly excelling in identifying autonomous villages (Class A) and high-intervention villages (Class D). Key contributing variables included the availability of financial services and the number of micro-industries.The model was integrated into an interactive dashboard built with Dash to support policymakers in conducting multi-level analyses (village/subdistrict/regency) and formulating evidence-based recommendations. The findings of this study have important implications for enhancing the efficiency of resource allocation and improving policy transparency, aligning with Bappenas' initiative to implement the Village Index starting in 2025. Overall, this research reinforces the importance of data-driven approaches for targeted and sustainable rural development
Carprice Intelligence: Prediction Price of Second Car using Machine Learning Sulaiman, Rahmat; Isnanto, Burham
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 18, No 1 (2026): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v18i1.37602

Abstract

Determining a fair market price for a used vehicle is a significant challenge for both sellers and buyers due to a lack of data transparency and the variety of influencing factors such as brand, production year, and mileage. This research aims to address this issue by developing a market data-based used vehicle price prediction system using a machine learning approach. The methodology adapts the CRISP-DM framework. Data is collected through web scraping from leading online marketplaces and processed through cleaning, normalization, and encoding before being used for modeling. Various regression algorithms were implemented, and the Linear Regression model was chosen for its optimal performance. The model was evaluated using the R Squared metric, yielding a score of 74% on the training data and 76% on the test data, demonstrating good accuracy and adaptability to new data. The best model was then implemented into a simple user interface based on Streamlit, allowing users to get a more objective recommendation for buying and selling prices. Overall, this system has great potential to facilitate more efficient and transparent transactions in the used automotive market, helping users make smarter and more profitable decisions.
Co-Authors Agustina Mardeka Raya Ahmad Faqih Alkayess Al Fathul, Rab Sahf Alkayess, Ahmad Faqih Aria Setiawan Cahya Saputra, Kornelius Eko Chrisna Putra, Rendy Rian Dwi Yuny Sylfania Elly Yanuarti Ellya Hellmud Fransiskus Panca Juniawan Harry Sudjikianto Hellmud, Ellya Indallah, Royhan Isnanto, Burham Juniawan, Fransiskus Panca Juwita, Ayu Ratna Kirana, Chandra Laurentinus Laurentinus, Laurentinus Marina Vebu Marini . Marini Marini Padli Padli Pradana, Harrizki Arie Pradana, Harrizki Arie Rab Sahf Al Fathul Romadiana, Parlia Royhan Indallah Sarwindah Sarwindah Sarwindah, Sarwindah Sudjikianto, Harry Sugihartono, Tri Tri Sugihartono Yanuarti, Elly