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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Simantec Jurnal Teknologi Informasi dan Ilmu Komputer AT TA´DIB Prosiding Semnastek Journal of Animation & Games Studies Fountain of Informatics Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTT (Jurnal Teknologi Terpadu) SemanTIK : Teknik Informasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control ELSE (Elementary School Education Journal) : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar J I M P - Jurnal Informatika Merdeka Pasuruan at-tamkin: Jurnal Pengabdian kepada Masyarakat JUSIM (Jurnal Sistem Informasi Musirawas) METIK JURNAL IJITEE (International Journal of Information Technology and Electrical Engineering) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Tika Jurnal Abdimas ADPI Sosial Dan Humaniora Teknik: Jurnal Ilmu Teknik dan Informatika Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) PELS (Procedia of Engineering and Life Science) Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat JOINCS (Journal of Informatics, Network, and Computer Science) Biner : Jurnal Ilmiah Informatika dan Komputer Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) Jurnal Informatika Polinema (JIP) Prosiding Seminar Nasional Unimus Journal of Information System and Application Development Hipotenusa: Journal of Mathematical Society Geosfera Indonesia
Dihin Muriyatmoko
Universitas Darussalam Gontor
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Perbandingan Metode Support Vector Machine dan Long Short Term Memory Dalam Prediksi Pendapatan Usaha Laundry (Studi Kasus BLA Laundry, Mustika Jaya, Bekasi) Dzikrina Safir, Sheila; Muriyatmoko, Dihin; Kurniawan, Widya
Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi Vol. 4 No. 1 (2024): Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi 2024
Publisher : Fakultas Teknik dan Teknologi - TANRI ABENG UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/snarstek.v2i1.709

Abstract

Laundry merupakan usaha yang menawarkan jasa pencucian pakaian, dimana terdapat beberapa service yang dapat dipilih oleh pelanggan sesuai dengan kebutuhan. Berdasarkan Asosiasi Laundry Indonesia tingkat perkembangan usaha laundry di negeri ini dalam jangka waktu 2022 - 2023 meningkat sebanyak 50% persen. Dengan tingginya angka persaingan dan pertumbuhan usaha laundry dibutuhkan strategi usaha yang tepat. Pengambilan keputusan untuk membuat strategi bisnis yang baik berasal dari data dan informasi yang mendukung dalam pembuatan strategi bisnis. Penelitian ini bertujuan untuk membandingkan tingkat akurasi algoritma Support Vector Machine dan Long Short Term Memory. Pada penelitian ini algoritma Long Short Term Memory memiliki performa yang lebih baik dibandingkan dengan algoritma Support Vector Machine dengan tingkat akurasi LSTM mencapai 83% dan SVM 64%.
IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK REKOMENDASI PEMINJAMAN BUKU DI PERPUSTAKAAN UNIVERSITAS DARUSSALAM GONTOR Muhammad Ridwan; Aziz Musthafa; Dihin Muriyatmoko
Jurnal Pengabdian Kepada Masyarakat Vol 7 No 1 (2024): At-Tamkin - Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Islam Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/attamkin.v7i1.4138

Abstract

Perpustakaan merupakan pusat dari peradaban keilmuan dalam dunia Pendidikan dan akademik dan juga sebagai pusat informasi. Dan perpustakaan di Universitas Darussalam Gontor merupakan pusat dari jantungnya Universitas. Di dalam mengelola literatur peminjaman buku, perpustakaan terkadang di hadapi dengan masalah rekomendasi buku dan koleksi kepada pemustaka. Data semakin lama akan bertambah semakin banyak. degan demikian adanya perkembang yang sangat pesat dengan demikian kita memanfatkan teknologi yang di mana dari data yang terbengkalai dapat kiata kelolah menjadi suatu analisis rekomendasi judul buku. Penelitian ini bertujuan memudahkan mahasiswa mencapai dalam mencari rekomendasi buku yang cocok untuk di pinjam. Dengan menggunakan metode Fp-Growth, penelitian melibatkan pengumpulan data, Data yang di gunakan untuk penelitian ini ada data dari awal sampai 2022 yang di mana data Loan History memiliki 4851 dan data Loan Bay Class memiliki 2127. Dan dalam penelitian ini menggunakanseluruh data untuk di lakukan testing, dan adapun tools yang akan di gunakan dalam pengelolahan dari data yang kita ambil adalah tools RapidMiner, dengan artribut yang akan mencakupi Fp-growth dan Association Rules. Berdasarkan analisis dari penelitian ini semua aturan yang akan di hasilkan memiliki nilai 91% Loan History dan 96% dari data Loan Bay class sehingga data dapat di gunakan dalam untuk refrensi rekomendasi dalam peminjaman buku. Kata kunci: UNIDA, Perpustakaan, Data Mining, Fp-Growth
Website Performance Testing Using Speed Testing Model: A Case of Reputable Indonesian Journals Muriyatmoko, Dihin; Aziz Musthafa
Teknik: Jurnal Ilmu Teknik dan Informatika Vol 2 No 1 (2022): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v2i1.120

Abstract

The speed of a web journal to load pages reflects the website performance. It has influenced user satisfaction. This study aims to study and analyze the performance of journal websites in Indonesia that are accredited by SINTA 1 by the Ministry of Research and Technology of the Republic of Indonesia. This test uses parameters owned by GTmetrix tools and calculated using descriptive statistical methods. This research hypothesis regarding the reliability of website speed testing has been tested and confirmed based on experiments. The research involved 61 journal websites, which were taken from December 2019 to February 2020. 366 individual website speed tests from 6 test server region have done, and recommendations have been given on test results. The test result showed that parameter based on PageSpeed score provided the value of 7.9% (grades A to B) and 92.1% (grade C to F) and YSlow score provided a value of 2.5% (grade B) and 97.5% (C to F). The experimental results prove that the performance of the journal website is still a lot in the low category. With the recommendation, it was expected that the speed and responsiveness of the journal website would increase
Image classification of leaf disease in corn plants (Zea Mays L.) using the MobileNetV2 method Achmad, Dellyan; Putra, Oddy Virgantara; Muriyatmoko, Dihin
Journal of Information System and Application Development Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jisad.v2i2.14004

Abstract

One of the main problems leading to low yields and possible crop failure in maize, a crop of great importance to human civilization, is that plant diseases are discovered and treated too late, leading to more severe diseases and even crop failure. Using photos taken from the Kaggle platform and some field shots, this research seeks to develop a classification system that can identify different types of diseases present on maize leaves. The disease types identified include Common Rust, Gray Leaf Spot, and Bacterial Leaf Blight. MobileNetV2 uses a Convolutional Neural Network (CNN) design to handle resource-intensive processes. To produce a lightweight model, this CNN uses separate corner shifts. The dataset for this study was taken from field shooting and the Kaggle platform. The study found that the MobileNetV2 model clarified objects very well with 93.01% accuracy. This discovery will help farmers find diseases on corn leaves (Zea Mays L.).
Sistem Pendukung Keputusan Pemilihan Program Studi Bagi Mahasiswa Baru Menggunakan Metode Analytic Hierarchy Process (AHP) Pradana, Kelvin; Harmini, Triana; Muriyatmoko, Dihin; Putra, Oddy Virgantara
Prosiding Sains Nasional dan Teknologi Vol 11, No 1 (2021): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 11 2021
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/psnst.v1i1.4959

Abstract

Abstrak— Panitia Penerimaan Mahasiswa Baru (PMB) Universitas Darussalam Gontor (UNIDA Gontor) selama ini menentukan program studi bagi calon mahasiswa baru dengan cara interview tanpa mempertimbangkan nilai ujian masuk. Proses interview membutuhkan waktu yang lama sehingga kurang effisien. Sehingga dibutuhkan solusi untuk mempercepat dalam menentukan program studi. Penelitian ini bertujuan untuk mempercepat dalam menetapkan program studi di UNIDA Gontor. Model pengambilan keputusan yang digunakan adalah AHP yang mampu untuk memperhitungkan hal-hal yang bersifat kuantitatif dan kualitatif. Hasil perhitungan AHP sudah sesuai dengan aturan yang diterapkan oleh panitia pendaftaran mahasiswa baru yaitu, rencana studi sampai S1, kesanggupan financial, nilai mata pelajaran, motivasi dan catatan lain. Hasil implementasi menunjukan bahwa Sistem Pendukung Keputusan dapat berfungsi serta membantu dan memudahkan dalam pengolahan data hasil tes dan pemilihan program studi di UNIDA Gontor. Penelitian selanjutnya akan diterapkan pada sistem informasi pandaftaran mahasiswa baru UNIDA Gontor berbasis web.
Analisis Sentimen Pandangan Masyarakat Terhadap Uji Emisi di Twitter Menggunakan Metode Support Vector Machine Aziz Musthafa; Dihin Muriyatmoko; Anggi Fauzan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Air pollution caused by motor vehicles is a major problem today. To reduce the dangers of air pollution and pollution caused by increasing motor vehicle users, the government immediately enacted legal action against vehicles that did not conduct or pass emission tests. From these government actions there are various kinds of public opinions, especially on social media twitter. This study aims to classify public sentiment towards emission tests expressed on twitter social media by collecting comment data and labeling it as positive, negative, and neutral. The method used in this research with data amounting to 3459 comments uses Support Vector Machine (SVM). Meanwhile, to measure the performance of the SVM method using Confusion Matrix. The results of testing using the SVM method resulted in an accuracy of 76%, and the results of the classification obtained more positive class values. This states that the policies made by the government related to emission testing have received a positive response from the public.
Analisis Sentimen Pandangan Masyarakat Terhadap Piala Dunia U-17 Menggunakan Teknik Teks Mining Aziz Musthafa; Dihin Muriyatmoko; R Muh Yusril Harmawan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

One of the most loved sports by people around the world is football. Indonesia is one of the countries with the most football fans in the world. Indonesia is one of the countries with the largest number of football fans in the world, with 77% of the Indonesian population interested in football. Based on research analysis, Indonesia was selected to host the 2023 U-17 World Cup. The decision was made after the International Football Federation (FIFA) granted hosting rights. Specifically to the President of the Indonesian Football Federation (PSSI). This research aims to classify public opinion related to the event from twitter social media into 3 class categories, namely neutral, positive and negative. In this research, the methods used are Naïve Bayes algorithm and Support Vector Machine (SVM) algorithm. The classification results show that the naïve bayes method has an accuracy result of 0.73 while for the Support Vector Machine method the accuracy value obtained is 0.84 which shows that Support Vector Machine has better accuracy than Naive Bayes. Based on the model classification, positive sentiment has the highest percentage of other classes with a percentage of 35%, followed by negative sentiment with a percentage of 31% and neutral sentiment is the minority class with a percentage of 33%. From the percentage obtained, it can be concluded that the public has a positive view of the organisation of the U-17 world cup in Indonesia. It is hoped that in the future this research can be improved and implemented better with additional algorithm methods or with a larger amount of data.
Penerapan Pola Arsitektur Model-View-ViewModel pada Aplikasi Pembelajaran Shorof Berbasis Mobile Havidz Muhammad Iqbal; Oddy Virgantara Putra; Dihin Muriyatmoko
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This research aims to develop an Android-based Basic Shorof learning application using Model-View-ViewModel (MVVM) architecture pattern. The background of this research focuses on the difficulties faced by Non KMI students at Darussalam Gontor University in understanding Shorof material, which is a major challenge in Arabic language learning. Many students have difficulty in understanding the basic concepts of Shorof, which is an important component in the overall mastery of the Arabic language. This research method includes data collection through questionnaires distributed to students. The purpose of this data collection was to identify the difficulties faced by students in learning Shorof. Analysis of the questionnaires showed that many students have difficulties in understanding the basic concepts of Shorof. This finding became the basis for the development of a learning application that is easy for students to use. The developed application uses MVVM approach to separate the business logic from the user interface. This approach facilitates future development, testing, and maintenance of the application. The features of this application include learning modules, quizzes, and Arabic vocabulary designed to strengthen students' understanding of Shorof material. Application testing involved a number of students as respondents to measure the effectiveness and efficiency of the application in improving their understanding of Shorof material. The test results showed that students experienced an increase in understanding after using this application. In conclusion, the application of MVVM architecture pattern in the development of Basic Shorof learning application can improve students' understanding effectively. This research is expected to have a positive impact on the development of educational applications in the future. Thus, this application is useful not only for students of Darussalam Gontor University, but also for the development of Arabic learning methods more broadly in various educational institutions.
Implementasi MVVM Dan Framework Jetpack Compose Pada Aplikasi Hukum Berbasis Android Aziz Musthafa; Dihin Muriyatmoko; Abdullah Hikmatyar Priandika
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This research discusses the development of Android-based legal applications using Model-View-ViewModel (MVVM) architecture and Jetpack Compose framework. The purpose of this research is to improve the access and understanding of the Indonesian people to legal aid through an efficient and user-friendly mobile application. The research method used is Software Development Life Cycle (SDLC) with a waterfall model that includes the stages of needs analysis, design, implementation, testing, and maintenance. Data was collected through a questionnaire distributed to 107 respondents aged 17-40 years to measure their understanding of the law and access to legal aid. The results of the analysis showed that 67% of the respondents knew how to get legal aid, but did not know the details of how. The developed app has several key features, such as a list of laws and regulations, AI Q&A, and lawyer consultation. The implementation of Jetpack Compose on the login, register, home, chatbot, regulations, and regulation details pages shows efficiency and ease in developing an interactive and responsive user interface. Application testing is carried out through verification by media experts, application users, and black box tests. The test results show that the application functions properly and meets user needs. The conclusion of this research is that the use of MVVM architecture and Jetpack Compose can speed up the development process and facilitate the maintenance of Android-based legal applications. This application is expected to provide practical and effective solutions in obtaining legal assistance and increasing legal understanding among the people of Indonesia.
Pengembangan website Monitoring Stok Barang Supplier dengan Sistem Rekomendasi menggunakan metode Collaborative Filtering pada Ud. Pekanbaru Jaya Oddy Virgantara Putra; Dihin Muriyatmoko; Harris Abdillah Faqih
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Pekanbaru Jaya, a goods distribution store, frequently faces challenges in monitoring supplier stock and ordering goods, leading to stockouts and operational inefficiencies. This study aims to design and implement an effective and efficient stock monitoring system using the Collaborative Filtering method. This method is chosen for its ability to predict items that users might like based on the opinions of other users, providing accurate recommendations even with limited content information. The system will also employ the Waterfall model in its development, ensuring that each development phase is conducted in a structured and well-documented manner. The implementation of this system is expected to assist UD. Pekanbaru Jaya in managing assets and inventory, ensuring sufficient stock availability, reducing the risk of stockouts, and optimizing resource utilization. The results of this study demonstrate that the developed system can enhance efficiency in stock management and provide a better shopping experience for customers through the online store.
Co-Authors Abdul Rohman Abdul Wahid Abdullah Hikmatyar Priandika Achmad Farouq Abdullah Achmad, Dellyan Adi Darmanto Ahmad Kali Akbar Anggi Fauzan Ario Ramadhan Arrahmantoro, Muhamad Nuradi Asad Humam Azis Musthafa Aziz Musthafa Badrus Sholeh Badrus Sholeh Dzikrina Safir, Sheila Dzulfikar As'ad, Ahmad Fa'iq Ebenezer Bonyah Edi Satriyanto Eko Prasetio Widhi Eru Puspita Fairoza Arafah, Rosa Faisal Aditiya Faisal Reza Pradhana Fariha 'Ulya Rahma Fathimah Fathimah Fauzan, Ady Febri Wulan Sari Feldi Hekmatyar Fikky Aprico Fulki Rusyda Harris Abdillah Faqih Havidz Muhammad Iqbal Hisnu Al Mujahidin Indah Putri Arosi Jumhurul Umami Jumhurul Umami Kamal Sholihin, Surya Kurniawan, Widya Lalu Ganda Rady Putra Lingga Sempana Hidayat Lukman Effendi Maulana Kemal Ardiansyah Mochammad Iqbal Pristiyo Mohammad Rozi Syifa’uddin Mubarok, M. Shulton Muhammad Alwi Muhammad Ridwan Muhammad Rijal Yahya Muhammad Siddiq, Muhammad Muhammad Sirajuddin Mumtaz Dzaky Muhammad Syakir Arif Muhammad Zarkasih, Muhammad Mukhlas Munif Ahsani Musthafa, Aziz , Musthofa, Aziz Musyafa’, Zaenury Adhiim Nabiila Fatimatuz Zahra Niken Sylvia Puspitasari Nur Aini Shofiya Asy'ari Oddy Virgantara Putra Phuspa, Sisca Mayang Pradana, Kelvin R Muh Yusril Harmawan Ratih Andhika Akbar Rahma Rochmad Rochmad Sempana Hidayat, Lingga Shoffin Nahwa Utama Siti Suprihatiningsih Taufiq Sukma Aji Fitrian Taufiqurrahman Taufiqurrahman Taufiqurrahman Taufiqurrahman Triana Harmini Wijaya, Muqoddam Husni Zaenury Adhiim Musyafa‟