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All Journal JOIV : International Journal on Informatics Visualization Jurnal Sains Teknologi dan Lingkungan (JSTL) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro INFOKUM Prosiding Konferensi Nasional PKM-CSR Jurnal Pijar MIPA Jurnal Bakti Nusa Jurnal Pepadu Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal Pengabdian Inovasi Masyarakat Indonesia JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Indonesian Journal of Applied Science and Technology
Ariessaputra, Suthami
Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Physics Public Health Social Sciences Other

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Analisis Perubahan Kecepatan dan Waktu Tempuh Sistem Robot Line Follower pada Lintasan yang Berbeda syafaruddin Ch; Suthami Ariessaputra; Budi Darmawan; Paniran; Cahyo Mustiko Okta Muvianto
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Vol. 1 No. 2 (2023): Edisi Oktober 2023
Publisher : Depertment of Electrical Engineering University of Mataram

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Abstract

A line follower robot is a robot that works along a line. This robot is a very simple type of robot, so it is often used as training material for students who are new to robots. One of the indicators for assessing the performance of a line follower robot is the travel time achieved by the line follower robot in covering various trajectories correctly. The average speed of the robot at 90% and 75% PWM settings is almost the same with a value of around 41 cm/second, while at 50% PWM settings it is much reduced to 35.63 cm/second. At the 90% PWM setting, it can be seen that the path length ratio is 4.32: 2.06: 1, while the travel time ratio is 4.44: 2.66: 1. At the 75% PWM setting, it can be seen that the path length ratio is 4.32: 2.06 : 1. while the travel time ratio is 4.38 : 2.41 : 1. At 50% PWM setting, it can be seen that the path length ratio is 4.32 : 2.06 : 1. while the travel time ratio is 4.09 : 2.09 : 1
Sistem Informasi Praktek Kerja Industri (Prakerin) Studi Kasus SMK Pariwisata Mataram I Made Sulastra; lalu A. Syamsul Irfan Akbar; Suthami Ariessaputra
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Vol. 2 No. 1 (2024): Edisi Maret 2024
Publisher : Depertment of Electrical Engineering University of Mataram

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Abstract

The Mataram Tourism Vocational High School still uses a manual system to process data internships for student, teacher, and Prakerin information. An information system is an essential instrumentation to monitor internship implementation. To overcome this problem, a Prakerin Information System was designed and built in this study to help simplify the administrative process of student internships while monitoring its implementation. The Prakerin information system also provides information about Prakerin needed by students and an application form for Prakerin online. In this study, the author uses several methods of data collection, namely observation with data objects, namely at Mataram Tourism Vocational High School, interviews with communication approaches that relate directly to data sources, and literature studies by collecting data by looking for literature about the task to this end. The authors used Python and MySql programming languages, the Bootstrap Framework, and the Django Framework in this study.. The results of testing using the Black box method with 93% success and the method of Mean Opinion Score (MOS) with a score of 4.01. This research resulted in an information system of Mataram Tourism Vocational Industry Practices that helped the administrative process of engineering, such as registration of internships, student data input, school supervisor data, field supervisor data, industrial input, daily activities, and other related to the internship.
Classification of Lombok Songket and Sasambo Batik Motifs Using the Convolution Neural Network (CNN) Algorithm Suthami Ariessaputra; Viviana Herlita Vidiasari; Sudi Mariyanto Al Sasongko; Budi Darmawan; Sabar Nababan
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1386

Abstract

Sasambo batik is a traditional batik from the West Nusa Tenggara province. Sasambo itself is an abbreviation of three tribes, namely the Sasak (sa) in the Lombok Islands, the Samawa (sam), and the Mbojo (bo) tribes in Sumbawa Island. Classification of batik motifs can use image processing technology, one of which is the Convolution Neural Network (CNN) algorithm. Before entering the classification process, the batik image first undergoes image resizing. After that, proceed with the operation of the convolution, pooling, and fully connected layers. The sample image of Lombok songket motifs and Sasambo batik consists of 20 songket fabric data with the same motif and color and 14 songket data with the same motif but different colors. In addition, there are 10 data points on songket fabrics with other motifs and colors. In addition, there are 5 data points on Sasambo batik fabrics with the same motif and color and 5 data points on Sasambo batik fabrics with the same motif but different colors. The training data rotates the image by 150 as many as 20 photos. Testing with motifs with the same color shows that the system's success rate is 83.85%. The highest average recognition for Sasambo batik cloth is in testing motifs with the same color for data in the database at 93.66%. The CNN modeling classification results indicate that the Sasambo batik cloth can be a reference for developing songket categorization using a website platform or the Android system.
MULTICLASS CLASSIFICATION OF SOUND HEALING WITH K-NEAREST NEIGHBOR ALGORITHM Ramadhani, Cipta; Suksmadana, I Made Budi; Ariessaputra, Suthami; Suta Wijaya, I Gede Pasek
DIELEKTRIKA Vol 8 No 2 (2021): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

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Abstract

Sound healing can be described to the practice of sound vibrations in an individual body directly to bring about a state of harmony and healing. In many ancient country, sound healing was used as a part of medicine and healing ritual. In this paper, we propose K-Nearest Neighbors (KNN) method to categorize the type of sound healing. Acoustic Sound for Wellbeing (ASW) such as Drums, Gongs, Chimes and Singing Bowls are used as dataset for KNN algorithm. The KNN algorithm is applied to classify The ASW dataset in multi class classification tasks. In our model, KNN gave the best performance measurement for 2 Classes classification. the value of Accuracy, Precision and recall are higher than 0,87. Meanwhile, The confusion matrix for 3 classes presented the lowest point from all experimental setting. Furthermore, confusion matrix for 4 classes showed some anomaly.
Analysis of User Experience Online Mentoring Platform with User-Centered Design Approach at Giza Design Lab Ariessaputra, Suthami; Novianung, Lalu Triawanri; Ramadhani, Cipta
DIELEKTRIKA Vol 9 No 2 (2022): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v9i2.316

Abstract

Learning or virtual learning platforms are becoming more and more widespread in education during the COVID-19 epidemic since digital learning eliminates the time and distance barriers. Online learning through internet media is growing rapidly. There are several online learning applications during the pandemic. Giza online mentoring is one of the online platforms based on mentor systems. This study creates a Giza online coaching platform for UX design using the User Centered Design (UCD) methodology. The process included user research to build the empathize, design a prototype, and usability testing of the mentoring platform to validate the solution based on a user-centered approach. The prototype is tested with usability testing. Usability testing is used to evaluate the prototype. Twenty-eight people participated in the initial usability test with a maze design, and the findings showed that 25% of users bounced, 75% of users succeeded indirectly, and 0 individuals succeeded immediately. On the other hand, the second test demonstrates that the improvement results have a respectable impact on user experience, with 82.9 percent user indirect success, 17.1 percent bounce, and 0 users experiencing immediate success.
WEBSITE INTERFACE MONITORING CLIENT ACTIVITIES USING MIKROTIK ON UBUNTU SERVER 18.04 LTS Akbar, Lalu A. Syamsul Irfan; Putra, Rayasa Puringgar Prasadha; Ariessaputra, Suthami
DIELEKTRIKA Vol 10 No 1 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i1.332

Abstract

Internet network is beneficial to be able to support the needs of the learning process. However, a large number of internet users, for example, who access university data, can cause weaknesses in a system, making it very vulnerable to data theft, damage, and leakage of confidential documents. The obstacle faced is that the internet is getting slower due to many users using the internet network and not knowing the amount of bandwidth usage. A system is needed to determine the bandwidth usage for each client. This system To simplify the process of monitoring the internet network. It can view client browsing history and block website domains so that internet users in the world of education have positive characteristics and the internet is not slow. In this system, the admin will monitor the use of internet clients connected to the campus environment through the user name and password obtained for each student. The results of this research are the creation of an internet monitoring system for a proxy to monitor the maximum amount of bandwidth usage for each client, view the client's browsing history, and block website domains and client IPs. The admin can observe the internet network and monitor client activity that uses the internet network in the campus environment using the monitoring application.
Sistem Monitoring Pakan dan Air Minum Burung Peliharaan Pemakan Biji Berbasis Internet Of Things Thauty, Achmad Gildas; Ariessaputra, Suthami; Muvianto, Cahyo Mustiko Okta
DIELEKTRIKA Vol 11 No 1 (2024): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v11i1.380

Abstract

Grain-eating songbirds are often kept as a hobby. These birds have beautiful feather colors and melodious voices. One of the obstacles to maintaining songbirds is that the owner needs more time. The owner is busy working and going out of town, which can cause the bird not to get adequate feed and water, and the owner is also unable to monitor the health condition of the bird. Based on this, a songbird feeding and monitoring system based on IoT was created to monitor the remaining food and drinks in the tank using NodeMCU ESP32 as a system control and data sender to the internet. The system can provide feed and drinking water for pet birds automatically and is connected via the internet to Blynk to send monitoring results. Based on monitoring results, the feed consumption of seed-eating songbirds is 4.74 grams daily, equivalent to 43.14% of the bird's body weight.
Mel Frequency Cepstral Coefficients (MFCC) Method and Multiple Adaline Neural Network Model for Speaker Identification Sasongko, Sudi Mariyanto Al; Tsaury, Shofian; Ariessaputra, Suthami; Ch, Syafaruddin
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1376

Abstract

Speech recognition technology makes human contact with the computer more accessible. There are two phases in the speaker recognition process: capturing or extracting voice features and identifying the speaker's voice pattern based on the voice characteristics of each speaker. Speakers consist of men and women. Their voices are recorded and stored in a computer database. Mel Frequency Cepstrum Coefficients (MFCC) are used at the voice extraction stage with a characteristic coefficient of 13. MFCC is based on variations in the response of the human ear's critical range to frequencies (linear and logarithmic). The sound frame is converted to Mel frequency and processed with several triangular filters to get the cepstrum coefficient. Meanwhile, at the speech pattern recognition stage, the speaker uses an artificial neural network (ANN) Madaline model (many Adaline/ which is the plural form of Adaline) to compare the test sound characteristics. The training voice's features have been inputted as training data. The Madaline Neural Network training is BFGS Quasi-Newton Backpropagation with a goal parameter of 0,0001. The results obtained from the study prove that the Madaline model of artificial neural networks is not recommended for identification research. The results showed that the database's speech recognition rate reached 61% for ten tests. The test outside the database was rejected by only 14%, and 84% refused testing outside the database with different words from the training data. The results of this model can be used as a reference for creating an Android-based real-time system.
PELATIHAN MANAJEMEN AUDIO DIGITAL DI PONDOK PESANTREN DARUL WAFA PEJARAKAN KECAMATAN AMPENAN KOTA MATARAM Ariessaputra, Suthami; Ch, Syafaruddin; Darmawan, Budi; Paniran, Paniran; Muvianto, Cahyo Mustiko Okta
Jurnal Pepadu Vol 5 No 4 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i4.5923

Abstract

Peralatan audio digital menjadi bagian yang tidak terpisahkan untuk mendukung kelancaran kegiatan belajar mengajar maupun acara lomba-lomba yang diselenggarakan di Sekolah ataupun di Pondok Pesantren. Penggunaan peralatan audio juga perlu memperhatikan lokasi ruangannya (indoor atau outdoor), posisi pendengar dan spesifikasi peralatan audionya. Pondok Pesantren Tahfidzul Qur’an Darul Wafa Mataram termasuk sekolah penghafal Al Qur’an yang memanfaatkan teknologi audio digital untuk menunjang kegiatan belajar mengajar, ujian tahfidzul quran dan lomba lomba Musabaqah Tilawatil Qur’an (MTQ) yang biasanya diadakan di aula sekolah. Namun peralatan audio yang tersedia masih belum maksimal sehingga kualitas audio yang dihasilkan juga belum optimal. Pengeras suara yang dimiliki sebanyak 1 buah dengan daya sebesar 120 watt, kondisi pengaturan audio ini masih kurang sehingga perlu peningkatan kualitas manajemen audio melalui kegiatan Pengabdian Pada Masyarakat. Kegiatannya dalam bentuk pelatihan yang dapat memberi pengetahuan dan keterampilan dalam manajemen audio digital, berupa pelatihan instalasi, revitalisasi peralatan, pemberian workshop dalam penggunaan dan perawatan peralatan audio kepada Pengelola Pondok Pesantren Tahfidzul Qur’an Darul Wafa Mataram. Hasil kegiatannya menunjukkan bahwa kualitas audio yang dihasilkan semakin baik dari sebelumnya dan dapat digunakan untuk mendukung kegiatan belajar mengajar serta kegiatan lomba tahfidzul Qur’an. Selain itu daya audio yang dihasilkan bertambah menjadi 240 watt.
Mangosteen Flesh Condition Detector Based on Microwave Non-destructive Technique Using Spiral Resonator Sensors Muvianto, Cahyo Mustiko Okta; Rasyda, Muhammad Afrizal G.; Ariessaputra, Suthami; Yuniarto, Kurniawan; Sasongko, Sudi Mariyanto Al; Darmawan, Budi; Ch, Syafaruddin
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i1.23761

Abstract

The mangosteen fruit has a characteristic thick skin, so it is difficult to know the condition of the flesh. Farmer can only know damage to the fruit flesh after the fruit skin had opened. Detection of the quality of the mangosteen flesh can be detected using a sensor capable of penetrating the thickness of the mangosteen rind. Flesh quality detection is carried out based on the S21 value (attenuation of mangosteen flesh value) using a portable device equipped with a sensor and capable of emitting microwaves. The S21 value of the fruit's flesh was measured using a spiral resonator that functioned as a sensor. The prototype device consists of an oscillator circuit, a power splitter, and a phase detector with 2507 MHz. Fruit flesh had divided into two conditions: damaged for fruit flesh with yellow sap or Translucent Flesh Disorder, and suitable condition for clean fruit flesh. The results showed that the fruit flesh had an average S21 value of 7.041 dB for damaged flesh and 6.007 dB for good flesh condition. The difference in the value of S21 had used as a reference for detecting the shape of the fruit flesh, with the detection threshold calculated by the Support Vector Machine, resulting in a threshold value of 6.712 dB.
Co-Authors Abdullah Zainuddin aiza_22 Akbar, Lalu A. Syamsul Irfan Budi Darmawan Budi Darmawan Budi Darmawan Bulkis Kanata Cipta Ramadhani Danang Januar Dani Dedi Ramdan Erni Dwi Jayanti Fathurrahman . Giri Wahyu Wiriasto I Gede Pasek Suta Wijaya I Made Sulastra I Made Sulastra, I Made Indra Sastra Izfan Yunus Jamal, Venny Aprilia Jumadi Jumadi Jurnal Pepadu Khalifatul Syuhada Kurniawan Yuniarto Kurniawan Yuniarto lalu A. Syamsul Irfan Akbar lu Ahmad Syam`sul Irfan Akbar Made Sutha Yadnya Muhammad Afrizal G. Rasyda Muhammad Alfarizi Putra Muhammad Arwan Rosyadi Muhammad Fajri Muhammad Juaeni Muna Aulia Muvianto, Cahyo Mustiko Okta Muvianto, Cahyo Mustiko Okta Muvianto Natasya Dewi Astuti Novianung, Lalu Triawanri Nurfajrin Pahrurrozi Pahrurrozi Paniran Paniran Paniran Putra, Rayasa Puringgar Prasadha Rasyda, Muhammad Afrizal G. Sabar Nababan Saprini Hamdiani Saprizal Hadisaputra Sudi Mariyanto Al Sasongko Suksmadana, I Made Budi Syafaruddin Ch Syafaruddin Syafaruddin Syarifuddin Syarifuddin Thauty, Achmad Gildas Tsaury, Shofian Ulul Khairi Zuryati Viviana Herlita Vidiasari Warindi D