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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Ilmiah Biosaintropis (Bioscience-Tropic) Fountain of Informatics Journal Journal of Development Research JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA EnviroScienteae JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information Systems and Informatics Jurnal Mnemonic G-Tech : Jurnal Teknologi Terapan International Journal of Advances in Data and Information Systems Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Cahaya Mandalika Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Janitra Informatika dan Sistem Informasi J-Intech (Journal of Information and Technology) Internet of Things and Artificial Intelligence Journal Ta'dib Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal ilmiah teknologi informasi Asia

Mokhamad Amin Hariyadi

Universitas Islam Negeri Maulana Malik Ibrahim Malang

Author-ID : 5999056

Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Segmentasi Paru-Paru pada Citra X-Ray Thorax Menggunakan Distance Regularized Levelset Evolution (DRLSE) Hariyadi, M Amin
MATICS Vol 9, No 1 (2017): MATICS
Publisher : Department of Informatics Engineering

-- Lung is one in control in the circulatory system of air (oxygen) in the human body, so the detection of disorders of the human respiratory urgently needed to detect any disturbance in the lungs used X-ray beam, from the results of x-ray image of the thorax contained information used to analyze and determine the shape of an object from the lungs, in order to obtain such information, a process of segmentation. In this study used methods Distance regularized Levelset Evolution (DLRSE), this method region based models which is an improvement of edge-based models. The purpose of this study to implement segmentation methods DRLSE the lungs of the results of x-ray image of the thorax. The trial results with the system DLRSE method performed on the 20 data from X-ray image of the thorax obtained an average result accuracy of 87.90%, a sensitivity of 76.27% and a specificity of 93.98%.

SEGMENTASI CITRA X-RAY THORAX MENGGUNAKAN LEVEL SET Hariyadi, Mokhamad Amin
MATICS MATICS (Vol. 4 No. 2
Publisher : Department of Informatics Engineering

Untuk mengurangi kelemahan perhitungan cardiothoracic ratio (CTR) secara manual maka dilakukan perhitungan secara semi otomatis. Dalam menentukan cardiothoracic ratio secara semi-otomatis diperlukan segmentasi rongga dada yaitu organ paru-paru. Pada penelitian ini akan dilakukan segmentasi organ tersebut dengan menggunakan Geometric active contour (level set). Metode segmentasi ini dipilih , karena level set ini mampu berevolusi mengikuti penyebaran kurva, kurva akan berkembang dan berhenti pada batas obyek dalam suatu image.Penelitian ini diharapkan dapat menyediakan alat bantu (tool) medis untuk membantu penentuan nilai CTR secara semi-otomatis yang bisa digunakan untuk berbagai hal seperti screening masal citra X-ray, alat bantu radiographer di daerah atau di puskesmas untuk bisa secara dini melaporkan adanya indikasi penyakit jantung, instrumen praktis dan otomatis bagi ahli radiologi.Penelitian ini menggunakan 20 citra X-ray paru-paru.Untuk menguji kinerja dari metode yang diusulkan hasil segmentasi level set dibandingkan dengan segmentasi manual. Dan diperoleh hasil sensitifitas 93,36%, akurasi 96,17% dan spesifitas 96,78% untuk paru-paru kiri serta sensitifitas 93,47%, akurasi 95,88% dan spesifitas 96,31% untuk paru-paru.Kata kunci: cardiothoracic ratio, citra x-ray, active contour, level set

OPTIMALISASI FORMULA KANDUNGAN ZAT BAHAN PAKAN DOMBA DAN KAMBING DENGAN MULTIVARIATE LINEAR REGRESSION Badruz Zamanil Charis; Usman Pagalay; Mokhamad Amin Hariyadi; Muhammad Farid Wadjdi
Jurnal Ilmiah Biosaintropis (Bioscience -Tropic) Vol 8 No 1 (2022): Agustus 2022
Publisher : Fakultas Matematika & Ilmu Pengetahuan Alam - Universitas Islam Malang

Animal feed is one of the most important things for sheep and goat farming. Without a good balance of feed ingredients, sheep and goats will not grow optimally, because the feed given to livestock does not match their needs. Therefore, we need an appropriate way to regulate the nutritional needs of feed required by sheep and goats. This study aims to meet the nutritional needs of sheep and goats from a variety of concentrate and forage feed ingredients. To meet the nutritional needs of feed ingredients, it is necessary to do research on optimization in the manufacture of ration feed formulas. If the nutritional needs have been met, the next goal is to predict the price of the ration economically in order to provide a profit. To solve this problem, an approach is needed to model the relationship between concentrate feed ingredients and forage feedstuff variables. Multivariate linear regression is a regression analysis method that involves more than one response variable.

Evaluation of Unmanned Aerial Vehicle (UAV) Control Range System using Lora-Based Communication System using Path Loss Mokhammad Amin Hariyadi; Juniardi Nur Fadila
Fountain of Informatics Journal Vol 7, No 2 (2022): November 2022
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v7i2.7571

AbstractThis research aims to evaluate the communication system between the ground control system and the Unmanned Aerial Vehicle (UAV) using the Lora communication system based on its Path Loss data. Lora itself is a 433 MHz-based communication system used for very long-distance communication. As we know, today UAV market used a 2.4 GHz-based communication system because it is cheaper than using 433MHz. But, although it is cheaper than 433MHz, a lot of devices used the same frequency like WiFi systems and another wireless electrical components. That condition creates a lot of signal interference so communication between the ground control system and the UAV becomes shorter. 433MHz is not a new technology for a communication system, this frequency is usually used for radio news and long-range data logging. It is rarely used 433 MHz frequency for transmitting a big package of data because 433 MHz frequency has a slow data transfer rate but has a long data transfer distance. From testing, we got an improvement of control range more than twice with Lo-Ra 433 MHz compared to the 2.4 GHz module.Keywords: Control System, Lo-Ra, Long Range System, Radio Frequency, Transmission system, UAV Abstrak[Evaluasi Sistem Jarak Kendali Kendaraan Udara Tanpa Awak (UAV) Menggunakan Sistem Komunikasi Berbasis Lora Menggunakan Path Loss] Penelitian ini bertujuan untuk mengevaluasi sistem komunikasi antara ground control system dengan Unmanned Aerial Vehicle (UAV) menggunakan sistem komunikasi Lora berdasarkan data Path Loss-nya. Lora sendiri merupakan sistem komunikasi berbasis 433 MHz yang digunakan untuk komunikasi jarak jauh. Seperti yang kita ketahui, pasar UAV saat ini menggunakan sistem komunikasi berbasis 2,4 GHz karena lebih murah daripada menggunakan 433MHz. Tapi, meski lebih murah dari 433MHz, banyak perangkat yang menggunakan frekuensi yang sama seperti sistem WiFi dan komponen listrik nirkabel lainnya. Kondisi tersebut menimbulkan banyak gangguan sinyal sehingga komunikasi antara ground control system dan UAV menjadi lebih singkat. 433MHz bukanlah teknologi baru untuk sistem komunikasi, frekuensi ini biasanya digunakan untuk berita radio dan data logging jarak jauh. Frekuensi 433 MHz jarang digunakan untuk transmisi paket data yang besar karena frekuensi 433 MHz memiliki kecepatan transfer data yang lambat namun memiliki jarak transfer data yang jauh. Dari pengujian, kami mendapatkan peningkatan jangkauan kendali lebih dari dua kali lipat dengan Lo-Ra 433 MHz dibandingkan dengan modul 2,4 GHz.Kata Kunci: Sistem Kontrol, Lo-Ra, Sistem Jarak Jauh, Frekuensi Radio, Sistem Trnsmisi, UAV

Prediction of Service Level Agreement Time of Delivery of Goods and Documents at PT Pos Indonesia Using the Random Forest Method Muhammad Isa Ansori; Ririen Kusumawati; M. Amin Hariyadi
International Journal of Advances in Data and Information Systems Vol. 4 No. 1 (2023): April 2023 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v4i2.1281

This study aimed to predict the service level agreement travel time for goods and document shipments at PT Pos Indonesia (Persero) from the island of Java to the islands of Kalimantan, Sulawesi, Maluku and Papua. This is very important because of the high competition between the logistics industry which is getting faster and faster. The random forest method was chosen because this method is easy to use and flexible for various kinds of data. The prediction results with Random Forest in this study have a good level of accuracy, namely 83.86% of the average 4 trials. This shows that the Random Forest method is the right choice for managing the existing data model at PT Pos Indonesia.

ANALISIS SENTIMEN ARTIKEL BERITA PEMILU BERBASIS METODE KLASIFIKASI Fathir; M. Amin Hariyadi; Yunifa Miftachul A
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.220

The distribution of information in the form of online news is so massive in the wider community, that it is difficult to distinguish between haox news and positive news. So that a classification is needed regarding public sentiment about the implementation of elections using mainstream media news article data using 1064 dataset test data. The methods used in this study are the naive Bayes algorithm, the random forest algorithm, and the support vector machine algorithm. The test model uses smote where the performance results are carried out by the algorithm used using smote and not using smote, where random forest produces an accuracy of 91.88%, while without using a smote support vector machine it produces an accuracy of 92.05%.

Prediksi Curah Hujan Bulanan Berdasrkan Parameter Cuaca Menggunakan Jaringan Saraf Tiruan Levenberg Marquardt Setiyaris Setiyaris; Mokhamad Amin Hariyadi; Cahyo Crysdian
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6328

Accurate prediction of rainfall is very important for warning services for hydrometeorological disasters or disasters caused by rain, so high accuracy is required in making predictions of rainfall. Artificial Neural Networks are becoming a trend in the field of computers because they provide the best accuracy in making predictions. Artificial neural networks are very powerful in recognizing data patterns to model and predict rainfall. The purpose of this research is to predict rainfall using the Levenberg Marquardt algorithm artificial neural network method. The data used for analysis are 120 data consisting of temperature, humidity, pressure, wind speed and solar radiation. To get accurate predictions, calculations are carried out by varying the amount of input and output data as well as varying the number of neurons in the hidden layer. The best performance of a model is measured from the value of MSE or Mean Square Error. The result shows that the network with a data composition of 90% input data, 10% output data and 25 neurons in the hidden layer is the best architecture with an MSE value of 0.029.

MOBILE LEARNING PADA MATA KULIAH STRATEGI PEMBELAJARAN MI/SD: PENELITIAN PENGEMBANGAN Nur Hidayah Hanifah; Imam Rofiki; Agung Sedayu; Mokhamad Amin Hariyadi
Ta'dib Vol 23, No 1 (2020)
Publisher : Universitas Islam Negeri Mahmud Yunus Batusangkar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31958/jt.v23i1.1704

There has been a trend of utilizing mobile tools in the university. This study is proposed to construct mobile learning media based on Android for Madrasah Ibtidaiyah or Primary School in Learning Strategy courses. The study participants were university students of Madrasah Ibtidaiyah Teacher Education in Malang. The study design was R and D with both quantitative and qualitative data. The study result have been in the form of mobile learning media based on Android. Six expert judgments have validated this product to ascertain the feasibility of the designed prototype. The validation by material experts' validation results were 91% and 89% valid, while validation rates by design experts were 93% and 92%. The validation result by learning experts showed 88% and 89% valid. The design was tested to three students with individual trials, then to a small group trial with ten students, and finally, a field trial on an experimental class of 43 students using a questionnaire. The trials' result on small groups showed 88% valid, and the field trials showed 86% valid. The findings indicated that Android-based mobile learning on learning strategy course material had a better effect than conventional learning on student learning outcomes.

Hoax Detection News Using Naïve Bayes and Support Vector Machine Algorithm Nur Elyta Febriyanty; M. Amin Hariyadi; Cahyo Crysdian
International Journal of Advances in Data and Information Systems Vol. 4 No. 2 (2023): October 2023 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v4i2.1306

Websites and blogs are well-known as media for broadcasting news in various fields such as broadcasting news. The validity of news articles can be valid or fake. Fake news is also known as hoax news. The purpose of making hoax news is to persuade, manipulate, and influence news readers to do things that contradict or prevent correct action. This study proposes to experiment with the Support Vector Machine and Naïve Bayes classifications to detect hoax news in Indonesian. This study uses a dataset from public data, namely news between valid news and hoaxes. The system can classify online news in Indonesian with the term frequency feature the machine vector Support algorithm and naïve Bayes classification. While the evaluation model used is the Confusion Matrix. The results of the comparison of the two models as a Support Vector Machine have an accuracy rate of 75,5%, and Naive Bayes has an accuracy rate of 88%. Therefore, for the classification of hoax news, we recommend the Naive Bayes model because it has a better level of accuracy than the Support Vector Machine.

The Evaluation of Computer Science Curriculum for High School Education Based on Similarity Analysis Syaifudin Ramadhani; Mokhammad Amin Hariyadi; Cahyo Crysdian
International Journal of Advances in Data and Information Systems Vol. 4 No. 2 (2023): October 2023 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v4i2.1307

The government is currently developing regulations to regulate education curriculum For High School Students. In this regulation, curriculum standards have been created that can be developed by educators in schools. Computer science teachers at the school level develop a curriculum that has been set as a standard curriculum. However, measurable evaluation to optimize the development of the new curriculum has not been available yet. This research proposes a form of evaluation that can be used as a benchmark by analyzing the similarity of curriculum content developed by teachers using a text mining approach. This is conducted by comparing computer science documents with applicable documents, namely knowledge field documents. It is expected that the results of optimizing competency development in the computer science curriculum can be achieved better. The average similarity checking performances using Cosine Similarity and Word2Vec are 40.9850 and 97.3558 respectively. Meanwhile, in the process of fulfilling the knowledge sector, with Cosine Similarity an average percentage of 40.98% was obtained, and with Word2Vec an average percentage of 97.36% was obtained. The results of this trial will be used as a basis for measurable evaluation of teacher contributions to be able to develop the curriculum better according to the applicable curriculum. The results of this evaluation are also used by the government to make future curriculum evaluations more measurable and the standards used are clear and help facilitate curriculum development in schools.

Co-Authors Agung Sedayu Agung Teguh Wibowo Almais Ainul Yaqin Ajib Hanani Akbar, Galuh Muhammad Iman Akkad, Muhammad Iqbal Arafat, Ihsan Bagus Fahad Badruz Zamanil Charis Cahyo Crysdian Cahyo Crysdian Cahyo Crysdian Cahyo Crysdian Cahyo Crysdian Eva Yustina Fathir Fathir Fathir Fresy Nugroho Hamid, Abdulhalim Hamid Salih Imam Rofiki Imamudin, M. Imamudin Irwan Budi Santoso Juniardi Nur Fadila Kurniawan, Andang Kurniawan, Puan Maharani Ma'muri, Ma'muri Mahmudiah, Rikha Rizki Mahsun, Muhammad Muhaimin, Afif Muhammad Andryan Wahyu Saputra Muhammad Farid Wadjdi Muhammad Isa Ansori Nur Elyta Febriyanty Nur Hidayah Hanifah Putra, Kurniawan Tri Rahmatmulya, Revaldi Ramadan, Afrijal Rizqi Ririen Kusumawati Setiyaris Setiyaris Setiyawan, Niko Heri Sifaulloh, Hafizzudin Sri Harini Sugiharto, Tomy Ivan Suhartono Syahreni, Syahreni Syaifudin Ramadhani Totok Chamidy Usman Pagalay Yuliawan, Audi Bayu Yunifa Miftachul Arif Yustina, Eva Zarkoni, Ahmad

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