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All Journal JSAI (Journal Scientific and Applied Informatics) Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Teknologi dan Manajemen Industri Terapan VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian SAINTEK
Ermanto Ermanto
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Penerapan Data Mining Untuk Memprediksi Minat Siswa Yang Mendaftar Di SMK Al Amin Cibarusah Ermanto Ermanto
Jurnal SIGMA Vol 12 No 3 (2021): September 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The level of interest of students who will enroll in Vocational High School (SMK) Al Amin Cibarusah can be estimated by using data mining methods. In order to find some information in a very large data, accurate algorithmic method is required. Several methods that are found very accurate in predicting and classifying and are often used are the Naive Bayes method, Nearest neighbor and Decision tree or J48. The author's focus in this study is to analyze the application of the Naive Bayes algorithm, Nearest neighbor and the J48 algorithm in predicting the interest of students who want to enroll in the Al Amin Cibarusah Vocational High School (SMK). The results obtained can be applied in making certain decisions and school policies. Keywords: Data mining, Naive bayes, Nearest neighbor, Decision tree and J48 Algorithm
Penerapan Sistem Pendukung Keputusan Untuk Memprediksi Kinerja Supplier Terbaik Menggunakan Metode Naive Bayes (Studi PT. Shin Heung Indonesia) Muhammad Makmun Effendi; Ermanto Ermanto; Moh Khamim
Jurnal SIGMA Vol 13 No 2 (2022): Juni 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

In companies usually always assessing suppliers but in this company it's still subjective so that in this research, aims to predict suppliers best by implementing decision support system for get the best supplier predictions objective with naive bayes method using assessment parameters quality, capacity, price, service and this parameter to get the criteria best supplier status, good supplier and suppliers are not good. In this research made a test data with value criteria quality, capacity, price, service by generating a prediction the best supplier status because it has the highest value with a value of 1, while for suppliers both 0.6 and suppliers unfavorable is 0.1. Support system the decision to predict the best supplier using naive algorithm method Bayes can make it easier to get best supplier predictions. Keywords: Sistem Pendukung keputusan, Php, Naïve Bayes
Penerapan Data Mining Untuk Klasifikasi Pandemi Covid-19 Di Indonesia Dengan Algoritma Naïve Bayes Ermanto Ermanto
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Coronavirus is a group of viruses that can cause disease in animals or humans. Several types of corona viruses are known to cause respiratory infections in humans ranging from cold coughs to more serious ones such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). This increased accuracy can facilitate decision making and efforts to provide information and knowledge for the prevention of people who want to carry out activities in the province so that we can prevent earlier and not be exposed by covid-19 and we can predict that one month the case will increase affected by covid-19. In testing the covid-19 data with the Naïve Bayes algorithm, this study can be tested by predicting attributes that have 7 attributes and the test shows that the naïve Bayes algorithm can classify a covid-19 data in producing a 0.910 probability level which is where the results are quite good then 700 training tests were performed and 300 testing data produced the most optimal which had an Accuracy value of 100.00%, Precision 100.00% and Recall 100.00%. Keywords: Corona Virus, Covid-19, Classification, Naive Bayes, Data Mining
Penerapan Data Mining Untuk Prediksi Penerima Bantuan Pangan Non Tunai (BPNT) Menggunakan Metode Naïve Bayes Ermanto; Nurhadi Surojudin
Jurnal SIGMA Vol 14 No 2 (2023): Juni 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The Non-Cash Food Assistance Program held by the government is often not on target due to many factors, one of which is the many criteria that must be considered in making a decision to receive assistance. Of the eleven criteria set, it requires the right algorithm to perform the calculation so that the results given are more accurate. The Naïve Bayes algorithm is a method for classification using probability theory which has a high degree of accuracy. Testing the Naïve Bayes algorithm uses the Rapid Miner tool which produces an accuracy rate of 96% from the 50 data provided. This algorithm is appropriate for selecting recipients of non-cash food assistance. There are 2 classes needed, namely Eligible and Ineligible. Keywords: Naïve Bayes, Rapid Miner
Pelatihan Desain Grafis Di SMK Al-Amin Cibarusah Muhtajuddin Danny; Sufajar Butsianto; Asep Muhidin; Ermanto Ermanto; Edi Tri Wibowo
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 1 No. 1 (2023): Juni 2023
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v1i1.3

Abstract

Pendidik selalu berupaya dalam menyajikan materi pembelajaran secara optimal dan didukung dengan sumber belajar yang memadai sehingga dapat dikuasai siswa secara tuntas. Hal ini dimaksudkan untuk membekali mitra dengan menanamkan kesadaran kepada peserta pelatihan tentang pentingnya pembelajaran desain grafis, dan memberikan kemampuan dan ketrampilan dalam pembelajaran desain grafis untuk meningkatkan kualitas pembelajaran dan pengajaran. Mitra yang dilibatkan dalam kegiatan pelatihan ini adalah siswa dan siswi SMK Al-Amin Cibarusah sebanyak 40 orang. Metode pelaksanaan dengan metode ceramah, dan demontrasi. Langkah-langkah kegiatan pelatihan ini terbagi atas dua sesi teori dan praktik. Pelatihan tersebut menanamkan kesadaran bersama bahwasanya antusiasme siswa untuk menemukan ide-ide kreatif tentang rancangan atau rencana pembuatan desain berkenaan dengan materi perlu dilatih secara berkelanjutan
Membuat Sistem Informasi Bursa Kerja Khusus (BKK) di SMK Al-Amin Cibarusah Berbasis Website Ermanto Ermanto; Arif Susilo; Candra Naya; Elkin Rilvani; Edi Tri Wibowo
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 1 No. 1 (2023): Juni 2023
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v1i1.6

Abstract

Bursa Kerja Khusus (BKK) SMK Al-Amin bekerja dalam melayani informasi terkait dunia industri untuk para siswa dan alumninya. Selama ini BKK SMK Al-Amin tidak menggunakan sistem terpadu sebagai alat bantu dalam penyampaian informasi terkait lowongan pekerjaan. BKK SMK Al-Amin masih mengandalkan sistem manual berupa selembaran poster yang ditempel di mading sekolah. BKK SMK Al-Amin sudah berusaha menggunakan teknologi pesan singkat melalui handphone akan tetapi pendataan nomor handphone alumni masih sulit dilakukan. Maka dari itu tujuan pengabdian ini adalah untuk mengembangkan sistem bursa kerja khusus berbasis web agar dapat membantu kinerja BKK SMK Al-Amin dalam melakukan fungsi pelayan terkait dunia kerja kepada para siswa dan alumni. Selain itu sistem ini juga dapat mengintegrasikan antara siswa, pihak BKK, dan Perusahaan.
Pembuatan Aplikasi Jadwal Ronda Online Di RT. 008 RW. 012 Perum Bumi Cikarang Makmur Kec.Cikarang Selatan Kab.Bekasi Asep Muhidin; Muhtajuddin Danny; Sufajar Butsianto; Ermanto Ermanto; Edi Tri Triwibowo
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 1 No. 1 (2023): Juni 2023
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v1i1.33

Abstract

Aplikasi Jadwal Ronda Online di R T .008 RW .012 Perum Bumi Cikarang Makmur Cikarang Selatan Bekasi adalah sebuah sistem informasi yang dibangun untuk mempermudah koordinasi dan pengaturan jadwal ronda warga di lingkungan tersebut. Aplikasi ini memungkinkan warga untuk melihat jadwal ronda yang sudah ditetapkan, mendaftar sebagai peserta ronda, dan melaporkan kejadian yang perlu diperhatikan selama ronda. Aplikasi ini dibangun dengan menggunakan teknologi web dan mobile, dengan mengintegrasikan beberapa fitur seperti peta lokasi, notifikasi, dan fitur chat untuk memudahkan komunikasi antar warga. Selain itu, aplikasi ini juga dilengkapi dengan sistem manajemen data yang terintegrasi, sehingga memungkinkan admin untuk mengelola dan memonitor aktivitas yang terjadi di dalam aplikasi
Implementasi Retrieval Augmented Generation (RAG) Dalam Perancangan Chatbot Kesehatan Pencernaan Gufranaka Samudra; Ahmad Turmudi Zy; Ermanto
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7678

Abstract

The development of artificial intelligence technology, especially in the development of chatbots, has brought significant progress, especially in the health sector. However, the main challenge in using large language models (LLM) is the potential for bias and lack of accuracy in providing information, especially on critical topics such as digestive health. This study aims to implement Retrieval-Augmented Generation (RAG) in designing a digestive health chatbot to improve the accuracy and relevance of the information delivered. The RAG method integrates a generative model with a document-based retrieval system to provide more reliable and evidence-based answers. The research process involves collecting digestive health datasets through data scraping from Alodokter, as well as data processing through the preprocessing stage, embedding using the Indonesian language model (firqaaa/indo-sentence-bert-base), and data processing using a vector database with the HNSW index. The Llama 3.1:8b model is used to generate generative responses. The results of the study show that the application of RAG can reduce model bias and improve the quality of chatbot responses. Evaluation using metrics such as Mean Reciprocal Rank (MRR) 93%, Faithfullness 62%, Answer Relevancy 57%, and Semantic Similarity 81% showed good performance in providing accurate and relevant answers according to context. With this approach, chatbots are able to provide more accurate and contextual information according to user needs, and can reduce the risk of hallucinations in the information provided. This research contributes to the development of more reliable health chatbot technology, especially in the digestive health domain, and opens up opportunities for further application in other health fields
Analisis Pola Pengangguran Menggunakan Metode Clustering Algoritma K-Means Di Wilayah Kabupaten Cirebon Misbakhul Anam; Annisa Maulana Majid; Ermanto
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 2 No. 4 (2023): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i4.743

Abstract

Pengangguran merupakan salah satu permasalahan sosial dan ekonomi yang dihadapi oleh banyak daerah di Indonesia, termasuk salah satunya di wilayah Kabupaten Cirebon. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisa lebih dalam terkait pola pengangguran di wilayah Kabupaten Cirebon pada tingkat Kecamatan menggunakan teknik clustering algoritma K-Means yang dipadukan dengan aplikasi RapidMiner.  Data penelitian terkait pola pengangguran diperoleh dari Dinas Ketenagakerjaan Kabupaten Cirebon periode tahun terbaru yakni tahun 2024, yang meliputi data riwayat pencari kerja seperti Latar Belakang Pendidikan dari terendah sampai tertinggi (SD-S1), Jenis Kelamin, Alamat, serta data jumlah Penyerapan Angkatan Kerja Perusahaan berdasarkan Kecamatan. Hasil 3 cluster dengan kategori Pola Pengangguran Tinggi, Pengangguran Rendah, dan Pengangguran Sedang, dipilih sebagai hasil final dalam penelitian ini dengan nilai evaluasi DBI 0.063 yang menunjukan hasil kualitas clustering mendapatkan nilai yang sangat baik. Visualisasi grafik dan pemetaan wilayah menggunakan ArcGIS pada penelitian ini bertujuan untuk mempermudah dalam memberikan rekomendasi bagi pemerintah daerah, khususnya Dinas Ketenagakerjaan Kabupaten Cirebon, dalam merancang program dan kebijakan yang lebih tepat sasaran dan terstruktur untuk menanggulangi indikasi pola pengangguran yang ada di wilayah Kecamatan Kabupaten Cirebon berbasis data.
Sistem Informasi Jasa Laundry Berbasis Web Dengan Metode SDLC Waterfall Pada Laundry Multi Ermanto; Riko Bilal Febriyanto
Prosiding Sains dan Teknologi Vol. 2 No. 1 (2023): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 2 - Februari 2023
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The laundry service business has grown rapidly, particularly in areas around universities, increasing the demand for fast and affordable laundry services. Laundry Multi still manages transaction records manually using paper receipts, resulting in inefficient data processing and a higher risk of recording errors. This study aims to design and develop a web-based laundry service information system to improve the efficiency of transaction and report management. The system was developed using the System Development Life Cycle (SDLC) method with the Waterfall model, consisting of analysis, design, implementation, and testing stages. The system was implemented using PHP programming language with a MySQL database. The results show that the developed system facilitates transaction data management, accelerates report generation, and improves the overall quality of services at Laundry Multi.
Co-Authors Aceng Badruzzaman Ahmad Fauzi Ahmad Turmudi Zy Ali Nur Ahmad Annisa Maulana Majid Arif Susilo Asep Muhidin Asep Muhidin Butsianto, Sufajar Candra Naya Edi Tri Triwibowo Edi Tri Wibowo Elkin Rilvani Gufranaka Samudra Kisanda Midisen Misbakhul Anam Moh Khamim Muhammad Hamdan 'Ainulyaqin Muhammad Makmun Effendi Muhammad Najamuddin Dwi Miharja Muhtajuddin Danny Nurhadi Surojudin Purnama Sakhrial Pradini Riko Bilal Febriyanto Sarwo Edy