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All Journal International Journal of Electrical and Computer Engineering Voteteknika (Vocational Teknik Elektronika dan Informatika) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence JTET (Jurnal Teknik Elektro Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal SOLMA Jurnal Telematika Jurnal Teknologi Terapan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin JISA (Jurnal Informatika dan Sains) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society Madaniya Jurnal Teknologi Informasi dan Komunikasi Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Pengabdian Teknologi Tepat Guna Jurnal Pengabdian Kepada Masyarakat (JPKM) Langit Biru Jurnal Nasional Teknik Elektro dan Teknologi Informasi JAMAIKA: Jurnal Abdi Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Journal of Applied Community Engagement (JACE) Pengabdian Jurnal Abdimas Hikmayo: Jurnal Pengabdian Masyarakat SmartComp Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Oman Somantri
Politeknik Negeri Cilacap
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Metode Naive Bayes Dalam Menentukan Program Studi Bagi Calon Mahasiswa Baru Eko Nugroho, Wildani; Sofyan, Ali; Somantri, Oman
Infotekmesin Vol 12 No 1 (2021): Infotekmesin: Januari 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i1.491

Abstract

In a university, determining a study program for prospective students is something that is often done to focus on prospective students so that they are in accordance with their competencies. This is a very important hope, because prospective students can develop self-competence according to their academic abilities. This research method uses several stages, including data cleaning, data collection, determining criteria, determining probability, and final testing. The Naïve Bayes method with a case study at the Private Madrasah Aliyah PAB 6 Helvetia and testing of 100 student data with an accuracy rate of 90% is a previous research. The purpose of this study was to make a classification of majors based on the criteria, while in this study the aim of making a classification of study programs for prospective new students. In this study, the same method was used but the number of data records was different, the test data was 1671 student data records, the data was obtained from 2256 data records.From the total data records were 2256, after data cleaning and data collection were carried out, 1671 test data were obtained. In the test data, there are several probability values that contain various criteria and attributes used to determine the classification of study programs for prospective new students. The number of data records is divided into 2 parts, the first is used for training data with 1158 data with a percentage of 70%, and testing data with 513 data records with a percentage of 30%. From the test results with the same method with different number of data records, the accuracy rate is from 90% to 96% with an accuracy value of 96.68%. From this accuracy value shows that the classification results obtained show the Pharmacy DIII study program.
Optimalisasi Metode Naive Bayes untuk Menentukan Program Studi bagi Calon Mahasiswa Baru dengan Pendekatan Unsupervised Discretization Eko Nugroho, Wildani; Prihandoyo, Teguh; Somantri, Oman
Infotekmesin Vol 13 No 1 (2022): Infotekmesin: Januari, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i1.1048

Abstract

The admission of prospective new students must consider various procedures to direct prospective new students in determining the study program they are interested in. This study will discuss the optimization of the Naive Bayes method to determine the study program or major for prospective new students with the Unsupervised Discritization method approach. There are several stages of research methods carried out in this study, including Data Cleaning, Data Collection, Criteria Determination, Probability Determination, and Data Testing. This research has been carried out using the same method, namely the Naïve Bayes method which is used to classify the interests of prospective new students in determining the study program with an accuracy value of 96.68%. Ongoing research uses the same method, namely Naive Bayes, then optimization is carried out with the Unsupervised Discretization method approach. For data testing, there are 1671 student data records. After testing with the same method and optimizing it, the accuracy value from 96.68% became 97.66% with the classification results showing the DIII Pharmacy study program. The purpose of this research is to produce a classification in determining the study program or major for prospective new students using the Naïve Bayes method by the optimization of the Unsupervised Discretization method. From the results of testing the data, the Naïve Bayes method after optimization with the Unsupervised Discretization method is very good compared to the application before optimization.
Comparison of The Dempster Shafer Method and Bayes' Theorem in The Detection of Inflammatory Bowel Disease Wanti, Linda Perdana; Adi Prasetya, Nur Wachid; Somantri, Oman
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.1797

Abstract

This study discusses the comparison of the Dempster-Shafer method and Bayes' theorem in the process of early detection of inflammatory bowel disease. Inflammatory bowel disease, better known as intestinal inflammation, attacks the digestive tract in the form of irritation, chronic inflammation, and injuries to the digestive tract. Early signs of inflammatory bowel disease include excess abdominal pain, blood when passing stools, acute diarrhea, weight loss, and fatigue. The Dempster-Shafer method is a method that produces an accurate diagnosis of uncertainty caused by adding or reducing information about the symptoms of a disease. Meanwhile, Bayes' theorem explains the probability of an event based on the factors that may be related to the event. This study aims to measure the accuracy of disease detection using the Dempster-Shafer method compared to the probability of occurrence of the disease using Bayes' theorem. The results of calculating the level of accuracy show that the Bayes Theorem method is better at predicting inflammatory bowel disease with a probability of occurrence of disease in the tested data of 75.9%.
Pengembangan Desa Digital Dengan Penerapan Sistem Informasi Kearsipan Untuk Meningkatkan Pelayanan Publik Pada Pemerintah Desa Banjarwaru Kecamatan Nusawungu Kabupaten Cilacap Santi Purwaningrum; Ratih Hafsarah Maharrani; Agus Susanto; Prih Diantono Abda'u; Muhammad Nur Faiz; Oman Somantri; Ari Kristiningsih; Khoeruddin Wittriansyah
JURNAL PENGABDIAN TEKNOLOGI TEPAT GUNA Vol 6 No 1 (2025): Teknologi Tepat Guna (TTG)
Publisher : Universitas Sahid Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47942/jpttg.v6i1.1925

Abstract

Pelayanan Publik yang efektif dan efisien menjadi salah satu tolak ukur masyarakat dalam menilai kinerja penemrintah daerah secara kasat mata. Pelayanan publik seperti pembuatan surat dan pencarian data arsip sangat berpengaruh terhadap kualitas layanan pada Kantor Desa Banjarwaru. Proses pengarsipan surat dan administrasi lainnya di Desa Banjarwaru saat ini belum terdigitalisasi dan terdokumensi dengan baik. Hal tersebut sering membuat terjadinya kesalahan dalam penyimpanan data surat masuk dan membutuhkan ruang yang cukup luas untuk menyimpannya, selain itu juga seringnya terjadi kesalahan dalam penulisan nomor surat keluar karena pencarian nomor surat terakhir masih dicari manual pada buku besar. Guna untuk mewujudkan visi dan misi Desa Banjarwaru, maka sangat diperlukan Penerapan Sistem Informasi Kearsipan untuk pengembangan Desa Digital. Sistem informasi arsip persuratan mempunyai tujuan mengubah metode penyimpanan surat atau administrasi lainnya dengan proses pengarsapan secara digital sehingga mengurangi penggunaan kertas dan lebih efektif dan akurat.
Coastal Sentiment Review Using Naïve Bayes with Feature Selection Genetic Algorithm Somantri, Oman; Maharrani, Ratih Hafsarah; Purwaningrum, Santi
Scientific Journal of Informatics Vol 10, No 3 (2023): August 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i3.43988

Abstract

Purpose: The tourism potential in the maritime sector can be Indonesia's mainstay at this time, especially in enjoying the charm of the natural beauty of the coast as people know Indonesia is an archipelagic country. The purpose of this study is to find the best model by applying the feature selection genetic algorithm (GA) and Information Gain (IG) to get the best Naïve Bayes (NB) model and the best features to produce the best level of sentiment classification accuracy.Methods: The stages of the research were carried out by going through the process of searching, pre-processing, analyzing research data using the Naïve Bayes model and optimizing genetic algorithms, validating data, and model evaluation.Result: The experimental results show that the best model is naïve Bayes based on information gain and the genetic algorithm yields an accuracy rate of 86.34%.Novelty: The main contribution to this research is proposing a new model of the best NB optimization model by applying an optimization algorithm in the search for feature selection to increase sentiment classification accuracy.
Utilization of Augmented Reality Technology in Independent Speech Therapy Applications Linda Perdana Wanti; Oman Somantri; Titin Kartiyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 01 (2024): Vol. 15, No. 01 April 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i01.p01

Abstract

One of the uses of information technology is augmented reality technology in the health sector. Augmented reality is used in the development of applications that are used for speech therapy for children with autism or children with speech delays. The method used for the development of speech therapy applications is the extreme programming method. This method can adapt to the development of an application in a short time and quite a lot of changes. The stages in the extreme programming method include identifying system requirements, planning activities during system/application development, system development process, iteration for system improvement until the final iteration, and no more user feedback, system/application production, and system maintenance with data backup and system recovery. After testing the system, it was concluded that three iterations occurred during the development of the speech therapy application. The last test showed that the user accepted the speech therapy application with a percentage of 77,14%. The output of this research is an augmented reality-based speech therapy application that is useful for independent speech therapy for children with speech delays.
Optimisation of Criminal Data Clustering Model using Information Gain Prih Diantono Abda’u; Ratih Hafsarah Maharrani; Muhammad Nur Faiz; Oman Somantri
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 1 (2025): JINITA, June 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i1.2741

Abstract

Crime is a phenomenon that significantly impacts society, necessitating mapping efforts that can be utilized for further analysis. Clustering, as a data analysis technique, groups objects based on similarities or differences in their characteristics. This approach enhances the understanding of data by identifying patterns and relationships between criminal events, such as crime type, time, and location. By clustering crime data based on similar characteristics, authorities can make more effective and efficient decisions in crime prevention and control. However, selecting too many attributes can negatively affect clustering performance. To address this issue, this study applies Information Gain reduction to reduce data dimensionality by eliminating attributes with low informational contribution. Additionally, three clustering methods K-Medoid, K-Means, and X-Means are compared to evaluate their performance. The concept of Information Gain is also integrated to optimize cluster formation, measuring how much an attribute contributes to distinguishing objects within a cluster. By leveraging Information Gain, this study aims to identify the most relevant and influential attributes in forming clusters that accurately represent crime data characteristics. Furthermore, the number of clusters generated is evaluated using the Davies-Bouldin Index (DBI). The results indicate that the K-Means algorithm outperforms the other two methods, achieving the best clustering quality with an optimal number of clusters (k = 6) and the lowest DBI value.
Optimization of Extreme Programming Methods in Plastics Waste Management Company Websites Wanti, Linda Perdana; Somantri, Oman; Romadloni, Annisa; Tripustikasari, Eka
JISA(Jurnal Informatika dan Sains) Vol 4, No 2 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i2.1018

Abstract

Plastic waste needs to be handled properly according to its type to reduce its negative impact on the earth, such as the issue of global warming which is still being widely discussed among the public. Good and correct plastic waste management has a significant long-term impact on the issue of global warming. Using the optimization of the extreme programming (XP) method to develop a plastic waste management system. With the system development method used, namely extreme programming, this system helps the community to be aware of waste and manage waste as well and wisely as possible. Extreme programming flexibility supports all changes that occur during the process of building this plastic waste management system. The output produced in the construction of this system is the management and sale of plastic waste that can be recycled according to its type. With usability testing that has been carried out, this system has been evaluated and shows a result of 88.07%, this value means that the plastic waste management system is well accepted to be used in plastic waste management.
SISTEM INFORMASI INVENTARIS LABORATORIUM BERBASIS WEB PADA STIKES BHAKTI MANDALA HUSADA SLAWI Oman Somantri, Aghafiana Dewi Maharani, Ginanjar Wiro Sasmito
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 3, No 2 (2014)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v3i2.225

Abstract

Komputer merupakan suatu perangkat yang sangat dibutuhkan untuk proses pengolahan data, agar datayang diolah tersebut secara efektif dan efisien dapat memberikan informasi yang diperlukan oleh suatuperusahaan. Pengolahan data yang dilakukan secara komputerisasi memerlukan tenaga lebih sedikit dan waktulebih singkat serta informasi yang dibutuhkan lebih aktual.Dalam pelaksanaan penelitian dilakukan metode pengumpulan data dan analisa data yang mana terdapattiga teknik pengumpulan data yang digunakan yaitu observasi, wawancara, dan metode pustaka. Sedangkanmetode pemodelan sistem menggunakan tabel identifikasi, use case diagram, activity diagram, sequence diagramdan class diagram. Sistem menggunakan adobe dreamweaver sebagai script editor, PHP sebagai bahasapemrograman, dan basis data menggunakan MySQL.Hasil penelitian yang didapat selanjutnya dianalisa dengan mengidentifikasi permasalahan yang ada,kemudian dibuat pertanyaan yang mengarah pada masalah tersebut untuk dicari penyelesaiaannya. UnitLaboratorium STIKes Bhamada Slawi belum memiliki website yang digunakan untuk proses pengelolaaninventaris laboratorium sehingga menghambat proses pengelolaan data inventaris barang dan efektifitas dalampelayanan. Berdasarkan identifikasi masalah maka solusi untuk permasalahan tersebut dengan membuat SistemInformasi Inventaris Laboratorium Berbasis Web pada STIKes Bhakti Mandala Husada Slawi.Sistem dapat membantu operator laboratorium dalam mengolah data pengajuan barang, input inventarisbarang, dan servis barang serta pembuatan laporan transaksi menjadi cepat dan efisien.Kata Kunci :Sistem informasi, Website, STIKes
SISTEM INFORMASI GEOGRAFIS SMP DI KABUPATEN TEGAL BERBASIS WEB Oman Somantri, Agung Santoso Miftakhul Huda
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 2, No 3 (2013): Smart Comp
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v2i3.67

Abstract

Sistem Informasi Geografis adalah sistem informasi yang digunakan untuk memasukkan, menyimpan, memanggil kembali, mengolah, menganalisa, dan menghasilkan data bereferensi geografis atau geospatial. Informasi yang kurang lengkap tentang letak geografis SMP yang ada di Kabupaten Tegal. Maka dengan menggunakan Sistem Informasi Geografis akan lebih mudah bagi masyarakat untuk mencari letak geografis sekolah khususnya smp di Kabupaten Tegal.Hasilnya bahwa Sistem Informasi Geografis SMP di Kabupaten Tegal dapat memberikan informasi tentang titik koordinat SMP di Kabupaten Tegal, alamat smp, nama kepala sekolah, luas sekolah, jumlah siswa persekolah dan perkecamatan. Kata Kunci : Sistem Informasi Geografis,  PHP, ArcView, Mysql.
Co-Authors Abdul Rohman Supriyono Abdul Rohman Supriyono Agus Susanto Agus Susanto Ali Sofyan Amir Hamzah Andesita Prihantara Annisa Romadloni Ari Kristiningsih Arif Wirawan Muhammad Ayu Pramita Catur Supriyanto Dairoh Dairoh Dairoh Dairoh, Dairoh Dany Artha Widiyanto Dany Artha Widiyanto, Dany Artha Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Dodi Satriawan Dwi Wahyu Susanti Dyah Apriliani Dyah Apriliani Dyah Apriliani Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Eka Tripustikasari, Eka Eko Nugroho, Wildani Erna Alimudin Evila Purwanti Sri Rahayu, Theresia Fadillah Fadillah Fadlilah, Ilma Faulin, Muhammad Husni Ganjar Ndaru Ikhtiagung Ginanjar Wiro Sasmito, Ginanjar Wiro Hety Dwi Astuti Ida Afriliana Ika Dewi Rozaurrohmah Iyat Ratna Komala Iyat Ratna Komala, Iyat Ratna Johanna, Anne Karyati, Titin Khoeruddin Wittriansyah Laura Sari Lina Puspitasari Linda Perdana Wanti Linda Perdana Wanti Linda Perdana Wanti Linda Perdana Wanti Lutfi Syafirullah Maharrani, Ratih Hafsarah Mohammad Khambali, Mohammad Muchamad Sobri Sungkar, Muchamad Sobri Muhammad Nur Faiz Muhammad Nur Faiz Musyafa Al Farizi Nur Wachid Adi Prasetya Nurlinda Ayu Triwuri Oto Prasadi Perdana Wanti, Linda Prih Diantono Abda'u Prih Diantono Abda`u Prihandoyo, Teguh Purwaningrum, Santi Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Riyadi Purwanto Riyanto Riyanto Rohayah, Siti Santi Purwaningrum Santi Purwaningrum Sari, Laura Sasmito, Ginanjar Wiro Sena Wijayanto Sofyan, Ali Taufiq Abidin Taufiq Abidin Taufiq Abidin, Taufiq Teguh Prihandoyo Titin Kartiyani Titin Kartiyani Wanti, Linda Perdana Wildani Eko Nugroho Wildani Eko Nugroho, Wildani Eko Wiyono, Slamet Yeni Priatna Sari, Yeni Priatna