Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

1.36

P-Index

This Author published in this journals

All Journal Dinamika Informatika INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Komtika (Komputasi dan Informatika) JURNAL PENDIDIKAN TAMBUSAI Informasi Interaktif Respati Jurnal Ekonomi dan Teknik Informatika International Journal Artificial Intelligent and Informatics Techno Jurnal Indonesia Sosial Teknologi Jurnal Komtika (Komputasi dan Informatika)

Sudarmawan, Sudarmawan

UNiversitas AMIKOM Yogyakarta

Author-ID : 255599

Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 23 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Komparasi Algoritma Naive Bayes dan K-Nearest Neighbor untuk Membangun Pengetahuan Diagnosa Penyakit Diabetes Nurmalasari, Maulidya Dwi; Kusrini, Kusrini; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5140

Diabetes is caused by a deficiency of the hormone insulin, which is secreted by the pancreas to lower blood sugar levels. The factors that trigger the occurrence of diabetes are derived from various factors such as a combination of genetic and environmental factors. The phenomenon of the emergence of various beverage brand outlets can be one of the triggers for blood sugar levels in humans. Normal blood sugar levels in the body range from 70-130 mg/dL before eating, less than 180 mg/dL two hours after eating, less than 100 mg/dL after not eating or surviving for eight hours, and 100-140 mg/dL at bedtime. This research aims to determine which algorithm is suitable for building knowledge about diabetes using the NaÃ¯ve Bayes and K-Nearest Neighbor (KNN) algorithm. The accuracy results from NaÃ¯ve Bayes are 85.60% and K- Nearest Neighbor of 91.61%. The results showed that K-Nearest Neighbor proved to have the best accuracy.

Sentimen Analisis Terhadap Aplikasi pada Google Playstore Menggunakan Algoritma NaÃ¯ve Bayes dan Algoritma Genetika Rahman, Arif; Utami, Ema; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5188

Sentiment analysis is a science to extract text to get someone's emotions for that. The benefits of sentiment analysis have many benefits, one of which is to see whether or not customers have a good response to the product and this can be an input for the development of the product's business in the future. The weakness of previous studies in research sentiment analysis is that the authors conduct research to improve the results of previous studies using the naÃ¯ve Bayes algorithm that is optimized with a genetic algorithm. From the results of the research that has been done, the average value in this study is on average better than previous studies, no applications have been identified as underfitting or overfitting and finally the naÃ¯ve Bayes algorithm that has been optimized by the genetic algorithm can be a classification solution for sentiment analysis.

Analisis Sentimen Twitter Kuliah Online Pasca Covid-19 Menggunakan Algoritma Support Vector Machine dan Naive Bayes Setiawan, Hendrik; Utami, Ema; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5189

The World Health Organization (WHO) COVID-19 is an infectious disease caused by the Coronavirus which originally came from an outbreak in the city of Wuhan, China in December 2019 which later became a pandemic that occurred in many countries around the world. This disease has caused the government to give a regional lockdown status to give students the status of "at home" for students to enforce online or online lectures, this has caused various sentiments given by students in responding to online lectures via social media twitter. For sentiment analysis, the researcher applies the nave Bayes algorithm and support vector machine (SVM) with the performance results obtained on the Bayes algorithm with an accuracy of 81.20%, time 9.00 seconds, recall 79.60% and precision 79.40% while for the SVM algorithm get an accuracy value of 85%, time 31.60 seconds, recall 84% and precision 83.60%, the performance results are obtained in the 1st iteration for nave Bayes and the 423th iteration for the SVM algorithm

Evaluasi Tingkat Usability Website KPPN Kabupaten ABC Menggunakan Prinsip Usability Putra, Afrizal Yudano Perdana; W A, Bambang Soedijono; Sudarmawan, Sudarmawan
Jurnal Teknologi Informasi RESPATI Vol 14, No 2 (2019)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jtir.v14i2.293

INTISARIWebsite merupakan syarat satu alternatif bagi lembaga keuangan khususnya KPPN untuk mengenalkan profil serta memberi informasi terbaru kepada para penggunaannya. Karena pentingnya website sebagai sarana informasi dalam perkembangan teknologi, maka dibutuhkan evaluasi kualitas website agar proses pelayanannya tetap berjalan lancar. Namun, Belum terdapat standard khusus dan belum pernah dilakukannya evaluasi pada website KPPN. Usability adalah sebuah metode yang digunakan untuk menguji kebergunaan website dan mengetahui sejauh mana kebergunaan website tersebut. Evalusi website KPPN menggunakan prinsip usability yang akan digabungkan dengan metode system usability scale (SUS) ini diharapkan mendapatkan hasil yang baik. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kuantitatif. Metode pengumpulan data yang digunakan yaitu wawancara dan kuesioner. Metode analisis data digambarkan dengan hubungan data yang diambil menggunakan skala likert. Sehingga hasil data yang diperoleh bisa dianalisis menggunakan metode usabilty dan mamasukkan dalam lima atribut usability. Hasil yang diperoleh dari penelitian ini adalah website KPPN Kabupaten ABC memperoleh hasil sebebsar 79% dan termasuk dalam kategori baik. Namun perlu adanya perbaikan pada webiste agar pengguna mendapat kepuasan yang maksimal..Kata Kunciâ€” Evaluasi, Website, Usability, Atribut, Metode. Â ABSTRACTThe website is a requirement of the alternatives for financial institutions, especially the KPPN to introduce the profile and provide updated information to the user. Because of the importance of the website as a means of information in the development of technology, it is necessary to allow the evaluation of the quality of website services running smoothly. However, yet there are special standards and had never done an evaluation on the website of the KPPN. Usability is a method used to test the usefulness of the website and determine the extent of the usefulness of the website. Evaluation KPPN websites using usability principles that will be combined with the method of system usability scale (SUS) is expected to get a good result. This type of research is descriptive research with quantitative approach. Data collection methods used were interviews and questionnaires. The data analysis method described by relationship data taken using a Likert scale. So that the data obtained can be analyzed using methods usabilty and inclusion in the five attributes of usability. Results obtained from this study is the KPPN website ABC obtain the results isr 79% and included in both categories. But the need for improvement on web pages so that users get the maximum satisfaction.Keywordsâ€” Evaluation, Website, Usability, Atribut, Method.

Prediksi Kelulusan Tepat Waktu Menggunakan Metode C4.5 DAN K-NN (Studi Kasus : Mahasiswa Program Studi S1 Ilmu Farmasi, Fakultas Farmasi, Universitas Muhammadiyah Purwokerto) Eko Purwanto; Kusrini Kusrini; Sudarmawan Sudarmawan
Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Vol 20, No 2 (2019): Techno Volume 20 No.2 Oktober 2019
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/techno.v20i2.5160

The graduation profile is one of the key elements for the accreditation standard of higher education. It mirrors the performance of the applied educational system within a period of time. The better it is, the better the accreditation will be. In support of this, a graduation prediction may be conducted to the academic database of the students. It is of pivotal to trace and classify the historical data into the data training and data testing, thus, to predict the on time-graduation. The step is importantly done to help decide the better management of learning processes. This study was therefore done to analyse certain variables applied to predict the on time-graduation using the algorythms of C.45 and K-Nearest Neighbour (K-NN). The data mining was done to the academic database of the students of the Pharmacy study programme, Pharmacy Faculty, Muhammadiyah University of Purwokerto by adding certain variables into the process. The data was then classified into the data training and data testing. Backward selection was done to select the best and most influential variables for the dataset. The study further resulted that by using the algorhythm of C.45 and backward selection, the accuracy of the graduation reached 92.75%. It is different from the acurracy the K-NN and backward selection showed that reached 96.14%. The result confirmed that the KNN showed the better accuracy than the C.45. It considerably benefitted the study programme to make better decisions on increasing the quality of services, in particular that of leraning processes.

Rancang Bangun Freifunk Pada Wireless Mesh Network DENGAN STANDAR IEEE 802.11b/G Suryadin, Imam Tri; Winarno, Wing Wahyu; Sudarmawan, Sudarmawan
Jurnal Ekonomi dan Teknik Informatika Vol 4 No 1 (2016): Jurnal Ekonomi dan Teknik Informatika
Publisher : Politeknik Sawunggalih Aji

Many people do activities in the computer utilizing one of them is on the internet. Internet is widely used in various fields of education, entertainment, and even governments. Due to the greater Internet functionality for humans certainly fast internet service and stable is the most expected every Internet user. According to market research agency e-Marketer, the number of internet users in Indonesia, the country netter population reached 83.7 million in 2014. With the number of network-enabled supplied by the office of the Office of the Department of Transportation, Communications and Informatikamembuat network traffic is getting full. Districts and villages in Purworejo district also needs data from the Department office. Good infrastructure will make the pace of the computer network at the office becomes more optimally with the existing bandwidth. Wireless Mesh Networks (WMN) combining wireless technology and ad-hoc routing, so that the service providers do not have to provide the installation cable to connect each Access Point (AP) mode as the general infrastructure. Wireless Mesh Network provides saving solutions wires at once to make the level of mobility of the wireless network becomes higher by replacing the use of a cable as a liaison between devices backbonewireless be using wireless technology that is also used for connecting to the client WMN has the ability to be able to configure themselves (self configured) , organized themselves (self organized), and constituted itself (self-healing) that will create and maintain connections between nodes in the event of damage to one node. Keyword: Wireless Mesh Networks (WMN), Routing Protocol, Freifunk, Quality of Service (QoS), delay, jitter, throughput, Packet Loss.

Determination of receipt of UPZ assistance using the SAW method Listyanto, Ahmad Wildan; Kusrini, Kusrini; Sudarmawan, Sudarmawan
International Journal Artificial Intelligent and Informatics Vol 1, No 1 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Zakat has a very strategic position in giving the impact of welfare and improving the community's economy if the collection and distribution are managed in trustworthy, transparent and professional. An institution on zakat management is National Zakat Agency (BAZNAS), which an institution manages the zakat management nationally, and non-structural government institution that is independent and responsible to President through the Minister of Religion. BAZNAS is located in capital city and assisted by zakat collection unit (UPZ). Along this time, they conduct manually in determining the person who will receive the assistance, but it often occur errors in its implementation. Therefore, a decision support system is needed to assist UPZ in determining the person who will receive the assistance. The decision support system was designed using SAW (Simple Additive Weighting) method, then the administrators obtain an alternative data in the form of lists of students who receive the UPZ assistance. The SAW algorithm is an algorithms for decision making. The SAW algorithm is also known as an algorithm with additive weighting method. The method requires normalization process of decision matrix (x) into a scale and can be compared to the entire available alternative ratings. The study showed that SAW can be applied to determine the acceptance of UPZ assistance by the calculation results of 16. The result of calculation and recommendation of decision support system for person who receive the UPZ acceptance, have the same data on output, namely Astin Dwi Wulan.

METODE LATIHAN DAPAT MENINGKATKAN KEMAMPUAN MENULIS SURAT RESMI BAGI PESERTA DIDIK KELAS VIII-4 SMPN 3 PASIR PENYU TP 2014/2015 Sudarmawan, Sudarmawan
Jurnal Pendidikan Tambusai Vol. 2 No. 3 (2018): December 2018
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v2i5.121

Penulisan karya tulis ini bertujuan untuk mendeskripsikan pembelajaran menulis surat resmi dengan menggunakan metode Latihan. Responden penulisan karya tulis ini adalah peserta didik kelas VIII-4. Objek penelitian berupa penggunaan Metode Latihan dengan pendekatan kooperatif dalam pembelajaran menulis surat resmi. Pengumpulan data dilakukan dengan pengamatan dalam proses pembelajaran maupun penilaian terhadap hasil kerja peserta didik.Pembelajaran menulis surat resmi dengan metode Latihan ini dimaksudkan untuk melatih kemampuan peserta didik agar mereka benar-benar dapat menulis surat resmi dengan baik dan benar sehingga tepat sasaran dan tidak menimbulkan kesalahpahaman. Dengan demikian kemampuan menulis surat resmi di kalangan peserta didik menjadi lebih berkualitas.Berdasarkan pembelajaran yang telah dilaksanakan dapat diketahui bahwa metode Latihan ini efektif membantu peserta didik dalam pembelajaran menulis surat resmi. Hal ini daat terlihat dari proses pembelajaran yang berjalan lancar, tepat waktu dan bersungguh-sungguh. Dari hasil penilaian karya peserta didik rata-rata mendapatkan nilai 80,19. Hal ini berarti bahwa pencapaian hasil belajar peserta didik sesuai dengan standar nilai ketuntasan secara nasional.

Classification Of Malaria Types Using Naïve Bayes Classification La Ariandi, Hadin; Setyanto, Arief; Sudarmawan, Sudarmawan
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 5 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i5.1088

This study was conducted to determine the level of accuracy of the naïve bayes classification method in the process of determining the group type of malaria. This method is used to predict the category of malaria based on the symptoms displayed. In this study, the dataset used was divided into 60% for training and 40% for testing. The results showed that the naïve bayes algorithm had an accuracy rate of 99.8% in predicting malaria categories. Evaluation of model performance using confusion matrix and ROC curve also showed good results, with classification accuracy of 0.998, error 0.002, and AUC 0.999. The results of the classification report show that the Quartana, Tertiana, and Tropica categories are more dominant than the Ovale category, based on precision, recall, and f1-score. These results show that the naïve bayes classification method is effective in classifying types of malaria and can be used as an aid in the diagnosis of malaria.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5140

Diabetes is caused by a deficiency of the hormone insulin, which is secreted by the pancreas to lower blood sugar levels. The factors that trigger the occurrence of diabetes are derived from various factors such as a combination of genetic and environmental factors. The phenomenon of the emergence of various beverage brand outlets can be one of the triggers for blood sugar levels in humans. Normal blood sugar levels in the body range from 70-130 mg/dL before eating, less than 180 mg/dL two hours after eating, less than 100 mg/dL after not eating or surviving for eight hours, and 100-140 mg/dL at bedtime. This research aims to determine which algorithm is suitable for building knowledge about diabetes using the Naïve Bayes and K-Nearest Neighbor (KNN) algorithm. The accuracy results from Naïve Bayes are 85.60% and K- Nearest Neighbor of 91.61%. The results showed that K-Nearest Neighbor proved to have the best accuracy.

Co-Authors Abdillah, M A Abidarin Rosidi Adiwisanghagni, Mohammad Agung Mulyono Agung, Kris Ahmad Zarkasih Amrullah, Ahmad Afief Arief Setyanto Arif Rahman Arik Sofan Tohir Bambang Soedijono W A, Bambang Soedijono Eko Purwanto Ema Utami Fatkhurohman, Ari Hendrik Setiawan, Hendrik Hermanto (STMIK AMIKOM Yogyakarta) JOKO PRAYITNO Kusrini Kusrini Kusrini Kusrini Kusrini, Kusrini La Ariandi, Hadin Listyanto, Ahmad Wildan Mohammad Suyanto Napianto, Riduwan Nugroho, Muhammad Agung Nurmalasari, Maulidya Dwi Putra, Afrizal Yudano Perdana Rumini - Sukasna, Sukasna Suryadin, Imam Tri Tri Yusnanto

Title

Found 23 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 23 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 23 Documents
Search