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All Journal Jurnal Simetris JAIS (Journal of Applied Intelligent System) Jurnal Dinamika Ekonomi dan Bisnis Jurnal DISPROTEK Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal SITECH : Sistem Informasi dan Teknologi Jurnal Kesehatan Primer Walisongo Journal of Information Technology Journal of Dinda : Data Science, Information Technology, and Data Analytics International Journal Software Engineering and Computer Science (IJSECS) Jurnal Minfo Polgan (JMP) Jurnal Talenta Sipil Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Kesehatan Primer
Teguh Tamrin
UNIVERSITAS ISLAM NAHDLATUL ULAMA JEPARA
Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Other

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RANCANG BANGUN APLIKASI AURELBOOK (AUGMENTED REALITY BOOK) Tamrin, Teguh; Riyana Putri, Aprilia; Muzakki, Muhammad Alie
Jurnal Publikasi Teknik Informatika Vol 1 No 2 (2022): Mei : Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1036.695 KB) | DOI: 10.55606/jupti.v1i2.413

Abstract

Seluruh madrasah di Indonesia melakukan aktivitas pembelajaran secara online, tidak terkecuali di MI Mathalibul Huda Mlonggo. Selama ini pembelajaran hanya dilakukan dengan mentransfer teks, gambar, video. Sehingga kurang interaktif dalam proses pembelajaran. Augmented Reality merupakan teknologi penggabungan antara dunia virtual dengan dunia nyata. Ini menjadikan pengalaman baru yang interaktif dan dapat dimanfaatkan pada pembelajaran. AR dapat digunakan untuk memodelkan proses siklus air secara 3D. User hanya butuh menginstal aplikasi pada smartphone dan scanning QR Code yang telah ditentukan. Setelah terdeteksi QR Code yang digunakan akan menampilkan objek 3D dan informasi yang dicantumkan.Hasil dari penelitian AR ini dapat menampilkan siklus daur hidup air secara 3D dan realtime. Kata Kunci: Augmented Reality, Unity, Marker Based, Media Pembelajaran
Tingkat Kepuasan Kerja Perawat dalam Pendokumentasian Keperawatan dengan Sistem E-RM Fitriana, Vera; Tamrin, Teguh; Cahyanti, Luluk; Yuliana, Alvi Ratna
JURNAL KESEHATAN PRIMER Vol 9 No 2 (2024): JKP (Jurnal Kesehatan Primer)
Publisher : Poltekkes Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/jkp.v9i2.1709

Abstract

Background: Fulfilling nurse satisfaction is very important because good nursing service will affect the quality and service quality of hospital agencies. The demand for nursing services makes nursing services implement computerized-based documentation. Currently, hospitals use information technology to improve the quality of patient care by using the E-RM system. Objective: The aim of this research is to determine nurses' satisfaction in nursing documentation with the E-RM system. Method: This type of research uses an analytical survey research design with a cross sectional design, the sampling technique used is purposive sampling with a sample size of 80 respondents. The inclusion of this research were nurses who carried out nursing documentation. The data analysis technique used in this research is bivariate analysis with the chi-square test. Results: Based on the results of research that has been carried out, the majority of respondents' job satisfaction is in the satisfied category and most of the nursing documentation is in the good category.  Based on the results of statistical tests, the p value = 0.000 (α<0.05), this shows that there is a relationship between nurse satisfaction and nursing documentation with the E-RM system.
Analisis Tekstur Fraktal untuk Pengenalan Motif Batik dengan Metode SVM-RBF Tamrin, Teguh; Pramunendar, Ricardus Anggi; Wibowo, Gentur Wahyu Nyipto; Haydar, Muhammad Rifqi Fajrul; Nugroho, Muhammad Bayu
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 15, No 2 (2024): JURNAL SIMETRIS VOLUME 15 NO 2 TAHUN 2024
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v15i2.11175

Abstract

This research discusses the recognition and classification of batik motifs using the Fractal Texture Analysis-based Segmentation (SFTA) method integrated with Support Vector Machine (SVM). Batik, as an Indonesian cultural heritage, is the art of painting silk cloth with various motifs and patterns that reflect cultural values. To address the challenge of recognizing diverse batik motifs, this study proposes a fractal-based approach for extracting features from batik images. This method measures the fractal dimension of the image using the Box Counting Method, allowing it to depict unstructured organic textures with high precision. The extracted fractal features are then processed using various feature selection methods such as Chi-Square, Mutual Information, Variance Threshold, and others. Experimental results show that the "Dispersion Ratio" feature selection method achieves the highest accuracy of approximately 69.93% with SVM-RBF parameters (C=80), demonstrating its ability to identify relevant features for batik motif recognition. These findings make a significant. 
OPTIMALISASI DIAGNOSIS STROKE DENGAN ALGORITMA C4.5 DAN STRATEGI IMPUTASI k-NN UNTUK MENGATASI MISSING VALUE Abidin, Zainal; Tamrin, Teguh; Harsono, Vilanda; Aziza, Duwi Nur; Kansania, Istianti
Jurnal Disprotek Vol 15, No 2 (2024)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v15i2.6701

Abstract

Penyakit yang menyerang pembuluh darah didalam Otak(Stroke), mengakibatkan terhambatya aliran darah dan oksigen ke otak. Gejala stroke bisa berbeda-beda, namu umumnya meliputi kelemahan atau mati rasa pada wajah, lengan, atau kaki, kebingungan, kesulitan berbicara, dan kesulitan berjalan. Diagnosa stroke yang cepat dan tepat sangatlah penting untuk mendapatkan penanganan yang tepat dan mencegah komplikasi. Salah satu factor untuk mendiagnosis stroke dengan cepat dan akurat dengan menggunakan penerapan algoritma C4.5. Algoritma C4.6 yaitu algoritma klasifikasi yang efektif digunakan untuk membangun pohon keputusan dalam memprediksi. Penelitian ini menggunakan data dari Kaggle stroke prediksi dengan jumlah 15.000 record, 22 atribut dan 2500 data hilang . hasil penelitian menunjukan bahwa algoritma C4.5 dapat digunakan untuk membangun system diagnosis gejala penyakit stroke yang akurat. System ini mampu mengkatogorikan pasien stroke dengan metode imputasi k-NN dengan nilai akurasi 91.40%. Pohon keputusan algoritma C4.5 juga dapat digunakan untuk memenuhi factor yang penting dalam diagnosis stroke.OPTIMIZATION OF STROKE DIAGNOSIS USING C4.5 ALGORITHM AND k-NN IMPUTATION STRATEGY TO OVERCOME MISSING VALUEthe brain. Stroke symptoms can vary but generally include weakness or numbness in the face, arms, or legs, confusion, difficulty speaking, and difficulty walking. Rapid and accurate diagnosis of stroke is crucial to obtain appropriate treatment and prevent complications. One factor for diagnosing stroke quickly and accurately is the application of the C4.5 algorithm. The C4.5 algorithm is a classification algorithm effectively used to build decision trees for prediction. This study uses data from the Kaggle stroke prediction dataset with a total of 297520 records 22 atribut and 2500 missing value. The results of the study indicate that the C4.5 algorithm can be used to build an accurate stroke symptom diagnosis system. This system can categorize stroke patients with an accuracy rate of K-NN Imputation K-NN with classification values of accuration 91,40%.  The C4.5 algorithm decision tree can also be used to fulfill important factors in stroke diagnosis.
Comparison of Accuracy of Linear Regression and Random Forest Models in Predicting Bitcoin Prices Awwaluddin, Ahmad Habib; Tamrin, Teguh; Widiastuti, Nur Aeni
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 5 No 2 (2025): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v5i2.2014

Abstract

Abstract Bitcoin is a digital asset that has experienced significant growth in value since its launch in 2009. However, its high price volatility makes predicting Bitcoin's price movements a challenge for investors and financial analysts. Therefore, a data-driven approach capable of capturing patterns in historical Bitcoin price data is needed to support more accurate investment decision-making. This study aims to evaluate and compare the performance of two prediction algorithms, namely Linear Regression and Random Forest, in predicting Bitcoin prices based on daily historical data from 2018 to 2025. The dataset was obtained from the Kaggle platform and processed through pre-processing, predictive feature formation, and data normalization. Two validation schemes were used: a 70:30 data split and cross-validation using K-Fold Cross Validation (10-fold). Model performance evaluation was carried out using three main metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). The results show that the Linear Regression model produces better performance than Random Forest, both on split data and cross-validation, even though Random Forest has been optimized using GridSearchCV. The lowest RMSE value was obtained from Linear Regression in the K-Fold scheme, at 1314.47. These findings indicate that a simple model such as Linear Regression can still be effective in predicting Bitcoin prices if the data is properly processed. This research is expected to serve as a reference for developers of digital asset price prediction systems and stakeholders in data-driven decision-making.. Keywords: Bitcoin, Prediksi Harga, Regresi Linier, Random Forest, Evaluasi Model, Machine Learning, K-Fold Cross Validation
PENERAPAN APLIKASI MOBILE LOCATION BASED SERVICE UNTUK PERSEBARAN USAHA MIKRO KECIL MENENGAH DIKABUPATEN JEPARA Widiastuti, Nur Aeni; Tamrin, Teguh
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 11, No 1 (2020): JURNAL SIMETRIS VOLUME 11 NO 1 TAHUN 2020
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1061.082 KB) | DOI: 10.24176/simet.v11i1.4015

Abstract

Kabupaten Jepara memiliki sentra industri yang tersebar di wilayahnya. Beberapa sentra industri diantaranya sentra kerajinan gerabah dan genteng, sentra industri tenun troso, sentra industri kerajinan monel, sentra industri mebel, dan lainnya. Persebaran sentra yang ada menyebabkan sentra industri yang lokasinya strategis lebih mudah dikunjungi daripada pengrajin yang lokasinya kurang strategis. Oleh sebab itu, untuk mengatasi permasalahan tersebut dan demi keberlangsungan sentra yang ada maka peneliti mengusulkan untuk perancangan aplikasi mobile persebaran Usaha Mikro Kecil Menengah dengan pengembangan metode location based service. Aplikasi mobile ini terintegrasi dengan google Maps API sehingga pembeli dapat mengakses jarak lokasi sentra yang dicari dengan lokasi dia berada saat itu. Metode ini memiliki kelebihan diantaranya: (1)informasi lokasi yang diberikan real time, (2)sebagai penunjuk arah untuk lokasi yang dituju. Hasil penelitian ini dapat dilihat dari pengujian blackbox testing dan uji kelayakan aplikasi kepada pengguna menghasilkan persentase sebesar 77% yang dinyatakan sangat layak untuk digunakan.
Optimalisasi Algoritma Naive Bayes Dengan Teknik Ensemble Dalam Analisis Sentimen Twitter Pantai Kartini Jepara Anwar, Muhammad Arqom; Mulyo, Harminto; Tamrin, Teguh
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14014

Abstract

Penelitian ini memanfaatkan Twitter untuk menganalisis opini publik tentang Pantai Kartini Jepara, dengan fokus pada optimisasi algoritma Naive Bayes dalam analisis sentimen. Penelitian ini mengidentifikasi bahwa akurasi Naive Bayes terbatas dalam menangani data besar dan kompleks. Tujuan utamanya adalah meningkatkan akurasi dan efisiensi analisis sentimen melalui optimisasi parameter dan teknik ensemble. Metode penelitian melibatkan pengumpulan data Twitter dari 2010–2023, preprocessing data, pelatihan model Naive Bayes, SVM, dan ensemble, serta evaluasi performa menggunakan akurasi, presisi, recall, dan F1-score. Model ensemble yang menggabungkan Naive Bayes dan SVM mencapai akurasi tertinggi sebesar 88,81%, meningkat dari 83,91% pada Naive Bayes dasar dan 86,01% pada SVM, menunjukkan perbaikan signifikan dalam analisis sentimen. Kombinasi algoritma Naive Bayes dengan teknik optimasi dan ensemble meningkatkan akurasi analisis sentimen. Penelitian selanjutnya disarankan untuk mengeksplorasi penerapan model ini pada data yang lebih besar atau platform media sosial lain.
Peningkatan Kompetensi Microcontroller Siswa SMK Arifin, Zaenal; Tamrin, Teguh
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 2 No 1 (2019)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v2i1.1772

Abstract

The increased interest in students in the field of Electronic Control is influenced by many factors, with family backgrounds, relationships, future expectations, development of science and technology and teachers. The implementation of the Community Service Program Based on Development of Foster Schools in Manba'ul Huda Dukuhseti, Pati Vocational School with the activities in the form of training and assistance in the use of electronic and computer software skills as additional knowledge in developing HR capabilities. Student Competency Improvement Training Related to Electronic and Computer Control Systems, namely programming and Arduino Uno application to create a led light control that can function according to a program made by each student. Through Arduino Uno training this makes science more for students in deepening microcontrollers. Keywords: electronic control, software, Arduino Uno
PENERAPAN ALGORITMA CRAWLING DALAM OTOMATISASI PEMBAYARAN ADMINISTRASI SEKOLAH Sudiryanto, Gun; Tamrin, Teguh; Kusumodestoni, R. Hadapiningradja; Leksono, Bagus Bowo
Jurnal Disprotek Vol 15, No 1 (2024)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v15i1.5898

Abstract

APPLICATION OF CRAWLING ALGORITHM IN AUTOMATION OF SCHOOL ADMINISTRATION PAYMENTSNetwork system administration is the job of network administrators who are tasked with managing a computer network, both on a small and large scale. MTs. Asysyafi'iyah is a madrasah that is not yet familiar with the system of developing applications that make the work of madrasa institutions easier. The large number of students results in the need for some administration that must be managed by Administrative Staff to further minimize and make time efficient in terms of managing madrasa administration. The problem discussed in this research is how the methods commonly used in payment systems are more effective, making it easier to obtain payment information and pay via Virtual Account by using an Android application. The aim of this research is to make it easier for parents/guardians in terms of administrative payments and to produce an application that can provide information for students, parents/guardians, administration staff and madrasa heads. The methods used in the data collection process are observation, interviews, Literature Study and Documentation. Processing Data that has been collected by researchers through literature studies will be used by researchers as direct field observations. Then, the results of interviews and documentation obtained directly from observations will be translated into programming language using the Rapid Application Development (RAD) method. Based on the results of the research and discussion, the conclusion of this research is: The Madrasah Administration payment application can make things easier for parents, guardians or students. , simplify the work of Madrasah Administrative Staff in structuring payment administration better and can reduce the error rate and obtain report results quickly and accurately, simplify the process of processing payment data and searching for Administrative report data, as well as data relating to Administrative payments stored computerized on Admin database.Administrasi sistem jaringan merupakan sebuah pekerjaan dari para administrator jaringan yang bertugas untuk mengatur sebuah jaringan komputer baik dalam skala kecil maupun skala besar. MTs. Asysyafi’iyah  merupakan madrasah yang belum mengenal sistemasi pengembangan penggunaan aplikasi yang memudahkan pekerjaan lembaga madrasah, banyaknya siswa mengakibatkan butuhnya beberapa administrasi yang harus di kelola Staf Tata Usaha untuk lebih meminimalisir dan mengefisien waktu dalam hal pengelolaan administrasi madrasah. Masalah yang dibahas dalam penelitian ini adalah bagaimana metode yang biasa digunakan pada sistem pembayaran dengan cara yang lebih efektif, mempermudah mendapatkan informasi pembayaran dan membayar secara Virtual Account dengan pemanfaatan aplikasi android. Tujuan penelitian ini berguna untuk mempermudah Orang Tua/Wali dalam hal pembayaran Administrasi dan Menghasilkan sebuah aplikasi yang dapat memberikan informasi bagi Siswa Siswi, Orang Tua/Wali, Staf Tata Usaha dan Kepala Madrasah.Metode yang dilakukan dalam proses pengumpulan data adalah Observasi, Wawancara, Studi Pustaka, dan Dokumentasi. Pengolahan Data yang telah dikumpulkan oleh peneliti melalui studi pustaka akan digunakan peneliti sebagai observasi lapangan secara langsung. Kemudian dimana hasil wawancara dan dokumentasi yang diperoleh secara langsung dari observasi akan diterjemahkan kedalam bahasa pemrograman dengan menggunakan metode Rapid Application Development (RAD).Berdasarkan hasil penelitian dan pembahasan maka kesimpulan dari penelitian ini adalah: Aplikasi pembayaran Administrasi Madrasah dapat mempermudah orang tua wali atau siswa, mempermudah pekerjaan Staf Tata Usaha Madrasah dalam penataan administrasi pembayaran yang lebih baik dan dapat mengurangi tingkat kesalahan serta diperoleh hasil laporan secara cepat dan tepat, memudahkan proses pengolahan data pembayaran serta pencarian data laporan Administrasi, serta data yang berhubungan dengan pembayaran Administrasi tersimpan secara terkomputerisasi pada database Admin.
Tingkat Kepuasan Kerja Perawat dalam Pendokumentasian Keperawatan dengan Sistem E-RM Fitriana, Vera; Tamrin, Teguh; Cahyanti, Luluk; Yuliana, Alvi Ratna
JURNAL KESEHATAN PRIMER Vol 9 No 2 (2024): JKP (Jurnal Kesehatan Primer)
Publisher : Poltekkes Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/jkp.v9i2.1709

Abstract

Background: Fulfilling nurse satisfaction is very important because good nursing service will affect the quality and service quality of hospital agencies. The demand for nursing services makes nursing services implement computerized-based documentation. Currently, hospitals use information technology to improve the quality of patient care by using the E-RM system. Objective: The aim of this research is to determine nurses' satisfaction in nursing documentation with the E-RM system. Method: This type of research uses an analytical survey research design with a cross sectional design, the sampling technique used is purposive sampling with a sample size of 80 respondents. The inclusion of this research were nurses who carried out nursing documentation. The data analysis technique used in this research is bivariate analysis with the chi-square test. Results: Based on the results of research that has been carried out, the majority of respondents' job satisfaction is in the satisfied category and most of the nursing documentation is in the good category.  Based on the results of statistical tests, the p value = 0.000 (α<0.05), this shows that there is a relationship between nurse satisfaction and nursing documentation with the E-RM system.
Co-Authors Ahmat Wakit Akhmad Khanif Zyen Akhmad Khanif Zyen Akhmad Khanif Zyen, Akhmad Khanif Anwar, Muhammad Arqom Aprilia Riyana Putri Ariyanto Ariyanto Awwaluddin, Ahmad Habib Aziza, Duwi Nur Bijanto Bijanto Cahyanti, Luluk Dina, Maula Hashina Fitriana, Vera Gun Sudiryanto Harsono, Vilanda Haydar, Muhammad Rifqi Fajrul Heru Saputro Kansania, Istianti Leksono, Bagus Bowo Lisa Falichatul Ibriza Lusi Meriyanti Maula Hashina Dina Mulyo, Harminto Muzakki, Muhammad Alie Nugroho, Muhammad Bayu Nur Aeni Widiastuti R Hadapiningradja Kusumodestoni Ricardus Anggi Pramunendar Sudiryanto, Gun Syamsul Ma’arif Wibowo, Gentur Wahyu Nyipto Yuliana, Alvi Ratna Zaenal Arifin Zaenal Arifin Zainal Abidin Zainal Abidin