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All Journal Jurnal Informatika dan Rekayasa Elektronik Jurnal Abdi Insani Journal of Computer Networks, Architecture and High Performance Computing Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Journal of Informatics Development
Khotiah, Titik
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Transportation

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PELATIHAN PRAKTIS AKUNTANSI: PENINGKATAN KETERAMPILAN MANAJEMEN KEUANGAN BERBASIS TEKNOLOGI INFORMASI PADA UMKM BUMDesa PULE SEJAHTERA Kartikasari, Evi dwi; Rodhiyah, Ma’rufatur; Khotiah, Titik; Wiyanti, Melisa Yuli; Romadhon, Muhammad Farih
Jurnal Abdi Insani Vol 11 No 4 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i4.2037

Abstract

The problems that exist in MSMEs in Pule Village based on an initial survey stated that less than 5% of MSME actors utilize information systems and there are approximately 4% of MSME actors who document their financial management. 92% of MSME actors in Pule Village are lay people who do not come from an Economic Education background so that their ability in financial literacy and managerial management skills are very minimal. So far, MSME managers have only focused on the sale of the products produced without calculating the estimated expected profit. This is a challenge for Accounting Academics to provide insight and training on information technology-based financial management so that the existence of MSMEs can achieve maximum goals. It is hoped that MSMEs in Pule Village will be able to become independent and rapidly developing MSMEs through additional working capital and skills in preparing good financial reports and being able to utilize information technology as a means of supporting activities. This service is carried out using the Community Development method, namely an approach that is oriented towards developing community empowerment by making the community the subject, object of development, and direct involvement in various service activities that will be carried out. The results of this service have a positive and significant impact. The increase in partners' accounting literacy has increased and the ability to prepare financial reports has increased by 80%. It is hoped that this service can become a community service that is continued, meaning that there is monitoring and assistance for partners to continuously implement the results of technology and innovation provided in community service activities.
Serious Games About Indonesia’s Heroes Day for Education About Events 10 November 1945 Abdillah, David Fahmi; K, Ilham Basri; Khotiah, Titik; Galahartlambang, Yanuangga; Arianto, Fery
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2005

Abstract

Heroes' Day is one of important days for Indonesia, is a day that commemorates one of the most important historical events, especially for the Indonesian people. The independence of the threatened Indonesian nation could be defended by heroes who sacrificed their lives against the invaders, where the incident coincided on November 10, 1945. but there are still many young people today who still do not understand the importance of their hero's struggle on that day, and consider Heroes' Day an ordinary holiday. The serious game is one of the game genres that is commonly used to provide learning about a topic by using games as learning media. By utilizing games as learning media, it will be easier for youth to understand the events of November 10 directly. The game is designed as a first-person shooter game developed using Unity with players playing the role of fighters against invaders on November 10, 1945. After playing, players will be given a series of questionnaires that contain events that occurred in the game and provide value to the game application. from the results of the questionnaire, the value obtained from the questionnaire was 69 and the value of the aspects of the game was 3.37.
Comparison of Machine Learning Techniques in the Classification of Parkinson’s Desease Sufferers Khotiah, Titik; Abdillah, David Fahmi; K, Ilham Basri; Arianto, Fery; Rohman, Abdul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2035

Abstract

Parkinson's disease is a progressive and relatively common neurodegenerative  disorder in the central nervous system where sufferers can have difficulty moving. This disease has a high mortality rate in the world of around 9.3 million in 2021. Meanwhile, in Indonesia, it is estimated that as many as 12,980 people die every year due to Parkinson's cases. This increase in cases of death is due to the lack of information about the initial symptoms and dangers of the disease, besides it is important to know how to prevent it early.  Early detection of Parkinson's disease can prevent symptoms of a certain age thereby increasing life expectancy. The existence of a computer-based system for diagnosing Parkinson's disease is called a classification system where the system applies the Machine Learning method. This study aims to compare the performance of algorithms in the classification system of people with computer diseases. In this study, it used methods in  Machine Learning such as K-NN, Multi Layer Percepteron (MLP), Linear Regression and Support Vector Machine (SVM).  The data set in this study was obtained using the Weka application.  The dataset used was Parkinson's Disease data  totaling 195 rows of data taken from the UCI Machine Learning Repository Datasets.  The results  of the experiment based on the four algorithms showed that  the poor performance was the Multi Layer Percepteron approach  to regression data with an RSME value of 0.459.  Meanwhile, the k-Neural Network Algorithm  is a good classification technique forParkinson's problem with an RMSE value of 0.1895.
Classification of Chili Fruit Diseases Using Deep Convolutional Neural Network Transfer Learning Anwar, Masrur; Abdillah, David Fahmi; Basri, Ilham; Galahartlambang, Yanuangga; Khotiah, Titik
Journal of Informatics Development Vol. 2 No. 2 (2024): April 2024
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v2i2.1335

Abstract

Chili peppers are among the highest-value agricultural commodities, often experiencing significant price fluctuations due to supply constraints. The rainy season frequently leads to crop failures caused by diseases affecting chili plants. Existing methods often struggle to accurately differentiate between similar symptoms on leaves and fruits, leading to misdiagnosis and ineffective disease management strategies. Early detection of these diseases, which manifest as symptoms on the leaves and fruits, is crucial for effective pest management. Common diseases include anthracnose, characterized by dry brown spots on the fruit, and fruit rot, where the interior of the fruit decays while the skin remains intact. Identifying these diseases promptly is essential for applying appropriate treatments to ensure optimal yields.In this study, a comprehensive approach is taken to classify diseases in chili pepper plants (Capsicum annuum L.) by incorporating both leaf and fruit segmentation. The research employs Deep Convolutional Neural Networks with Transfer Learning (DCNN) to enhance detection capabilities. The findings reveal that for leaf disease classification, fewer neurons in additional layers yield better accuracy and reduced loss, while for fruit disease classification, a more complex model with additional neurons is necessary. This underscores the need for balancing model complexity to achieve optimal performance and prevent overfitting, particularly in distinguishing between leaf and fruit diseases.
PENGENALAN PLAT NOMOR KENDARAAN REAL-TIME PADA KONDISI GELAP DAN HUJAN MENGGUNAKAN DEEP LEARNING Galahartlambang, Yanuangga; Khotiah, Titik; Fanani, Zahruddin; bastian Dwiki Rahmat, Mohammad
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 1 (2025): JIRE APRIL 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pengenalan plat nomor kendaraan secara real-time merupakan salah satu teknologi penting dalam sistem transportasi cerdas, terutama pada kondisi lingkungan yang menantang seperti gelap dan hujan. Penelitian ini bertujuan untuk mengembangkan dan menguji metode pengenalan plat nomor menggunakan kombinasi YOLO v8 untuk melakukan deteksi plat nomor kendaraan dan framework screen text recognition TPS-ResNet-BiLSTM-Attn untuk pengenalan teks. Dataset yang digunakan berjumlah 3.000 gambar plat nomor yang dibagi menjadi 70% untuk pelatihan, 15% untuk validasi, dan 15% untuk pengujian. Framework ini dirancang untuk mengatasi tantangan visual seperti pencahayaan rendah dan gangguan akibat hujan melalui tahapan transformasi geometris (TPS), ekstraksi fitur (ResNet), pemodelan urutan karakter (BiLSTM), dan mekanisme transkripsi berbasis perhatian (Attention). Hasil pengujian menunjukkan akurasi yang berbeda pada berbagai kondisi, yaitu 78,6% pada kondisi normal, 82,4% pada kondisi gelap, dan 80,7% pada kondisi hujan. Hal ini menunjukkan bahwa metode deteksi objek YOLO v8 dan pengenalan karakter teks TPS-ResNet-BiLSTM-Attn yang diusulkan mampu menangani tantangan pengenalan plat nomor dalam kondisi lingkungan yang kompleks, sehingga memiliki potensi besar untuk diterapkan dalam sistem pengawasan transportasi yang lebih andal
Analisa Performa Aplikasi Web Berbasis Manipulasi DOM dan Virtual DOM Galahartlambang, Yanuangga; Khotiah, Titik; Jumain, Jumain
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 5 No. 1 (2021): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v5i1.900

Abstract

Aplikasi web yang modern menghabiskan banyak data. Model Objek Dokumen yang disebut DOM, adalah bagian penting dari membuat situs web interaktif. Ini merupakan antarmuka yang memungkinkan bahasa pemrograman untuk memanipulasi konten, struktur, dan gaya situs web. Dengan kata lain DOM merupakan standar cara mendapatkan, mengubah, menambah, atau menghapus elemen HTML halaman web. Merender elemen DOM dalam jumlah besar juga dapat mengakibatkan waktu muat yang lambat, kelambatan halaman, dan masalah kinerja lainnya. Virtual DOM adalah abstraksi dari HTML DOM. Lebih ringan dan terlepas dari detail implementasi khusus browser. Karena DOM itu sendiri sudah merupakan abstraksi, virtual DOM sebenarnya adalah abstraksi dari sebuah abstraksi. Virtual DOM adalah memori dan dapat dimanipulasi berkali-kali sebelum membuat perubahan pada DOM itu sendiri, inilah alasan mengapa bekerja dengan virtual DOM lebih efisien. Untuk melakukan analisis kinerja, sebuah eksperimen dilakukan di mana aplikasi web uji dibuat menggunakan kerangka kerja yang dipilih, membandingkan metrik terkait kinerja menggunakan google chrome dan firefox.
Co-Authors Abdillah, David Fahmi Abdul Rohman Anwar, Masrur Arianto, Fery Basri, Ilham bastian Dwiki Rahmat, Mohammad Fahmi Abdillah, David Fanani, Zahruddin Ilham Basri K Jumain, Jumain Kartikasari, Evi Dwi Rodhiyah, Ma’rufatur Romadhon, Muhammad Farih Wiyanti, Melisa Yuli Yanuangga Galahartlambang