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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) International Journal of Advances in Applied Sciences TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Education and Learning (EduLearn) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Jurnal Teknologi Elektro JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pengabdian Masyarakat Asia JUSTIN (Jurnal Sistem dan Teknologi Informasi) J-ESA (Jurnal Ekonomi Syariah) Jurnal Studi Sosial Keagamaan Syekh Nurjati International Journal of Contemporary Studies in Education Prosiding Seminar Riset Mahasiswa

Muhammad Qomaruddin

Universitas Islam Sultan Agung

Author-ID : 353089

Religion Arts Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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LOW COST SOLAR ENERGY EFFICIENCY FOR DESALINATION SYSTEM USING SIMULATION MATLAB Habib ALzaroug Abobaker Wardeko; Muhammad Haddin; Arief Marwanto; Muhammad Qomaruddin
Journal of Telematics and Informatics Vol 6, No 1: March 2018
Publisher : Universitas Islam Sultan Agung

Freshwater and energy scarce are now becoming most important issues worldwide. Freshwater or potable water is the most important for human life. The rapid growth of population and industrialization contribute on the freshwater scarce. Conventional energy such as fossil fuel faces the similar trend with freshwater scarce since it is not renewable. The price of conventional energy is increased along with the scarcity. Desalination techniques have been developed for decades to be alterative way in providing freshwater. The desalination processes are driven by energy either thermal, mechanical and electricity.Efficiency for desalination system using simulation/Matlab, driven by renewable energy has derived great attention from scholars and engineer worldwide to get over freshwater need and energy issues. One of major concern in this field is to develop low cost desalination system that driven by renewable energy.

HAPPINESS ANALYSIS OF LIBYANS PEOPLE BASED ON TWITTER DATA USING ARTIFICAL NEURAL NETWORK khaled jemah basher; Imam Much Ibnu Subroto; Arief Marwanto; Muhammad Qomaruddin
Journal of Telematics and Informatics Vol 8, No 2 (2020)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v8i4.

Information technology is always developing and has very rapid growth. The internet has become a very important online communication tool for many people today. Nowadays people tend to prefer anything that is practical, faster, and flexible. Social networking services have become a simple and universal concept in the internet environment. Purpose of this study are: To analyse happiness of Libyans people based on Twitter data using artificial neural network. This study is an analytical study of secondary data processing obtained without direct field experiments. MTE (Magister program of Electrical Engineering) UNISSULA must have experiment. This study is an analytical study of data based on social media specifically using twitter data. The result of this study is Libyan feel they write down their feelings when happy rather than unhappy. Social media has become an important part of modern life, and Twitter is again a center of focus in recent events. Whatever your opinion of social media these days, there is no denying it is now an integral part of our digital life. Twitter is a good starting point for social media analysis because people openly share their opinions to general public. This is very different from Facebook where social interactions are often private. In this paper, we propose a ANN model for Twitter opinion mining prediction and classification approach. Also, we used the ANN model for Twitter Opinion abstraction and visualization scheme. The main contribution of this work is to propose such a new visualization model for Twitter mood prediction based on ANN approach

CAPBLAT Development and Testing: Computer-Assisted Assessment Tool for Problem Based Learning Muhammad Qomaruddin; Azizah Abdul Rahman; Noorminshah A. Iahad
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Recent years, Computer-Assisted Assessment (CAA) has become increasingly important in education. This is indicated by many researches that focused on the development of computer-based assessment tool to help assess performances of students from various disciplines. This study contributes to education area with the research on the development of innovative computer-based tool for Problem-Based Learning (PBL) assessment. A web-based assessment tool, named CAPBLAT, has been developed. The tool incorporates some methods of PBL assessment process which framed within “Problem-Based Learning Assessment Framework”. The tool has been created for evaluating students’ achievements on the PBL approach. This paper presents the development and user acceptance test of the CAPBLAT. The study utilizes the tool within two PBL classes as a medium for testing in the duration of one semester. A total of forty students participated in the testing of the tool. During the study, questionnaires were administered to students. The results concerning the assessment tool acceptance demonstrate that students showed positive feedback and accepted the usage of CAPBLAT for the PBL assessment process. It is also proved that the use of CAA in PBL gives advantages for both of lecturers and students by providing them with detailed formative feedback on their learning achievements compared to conventional assessment. It also reduces lecturer’s tedious load by automating parts of the task of marking students’ work.

Evaluating Students’ Learning Experiences Using Course Management System in a Blended Learning Marva Mirabolghasemi; Noorminshah A. Iahad; Muhammad Qomaruddin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

One of the major software used in today’s classroom are Course Management Systems (CMS). There is currently little research regarding the learning experience of students using CMS like Moodle in a blended learning environment. Effective learning environments give students a chance to learn better and faster. Understanding the students’ learning experience in a blended course using a CMS is the first step to determine how to best engage students. It assumes that good learning environments are achieved through three factors which are Cognitive Presence, Teaching Presence, and Social Presence. This study used a set of questionnaire to evaluate students’ learning experience for 107 students in blended learning. Correlation analysis has been used to find the relationship between Cognitive Presence, Teaching Presence, Social Presence and learning experience of students who use CMS in blended learning. The findings of this research study show that there is a significant correlation among Cognitive Presence, Teaching Presence, Social Presence and the overall learning experience using Moodle in blended learning. However, the level of Social Presence is lower in comparison with Teaching Presence and Cognitive Presence.

DESIGN OF ECO GREEN WIND TURBIN USING FUZZY LOGIC ON SAHARA DESERT Ahsraf Ashraf Khalil; Muhamad Haddin; Arief Marwanto; Muhammad Qomaruddin
Journal of Telematics and Informatics Vol 9, No 2 (2021)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v9i2.

In development of wind turbine, the government of Libya has assignment Libya electric co. To develop wind turbine in Sahara Desert beginning of 2001. The officer the took a surveying of wind speed and the environment of the Sahara Desert. The surveying has shown that wind speed of Sahara Desert is class 4 and 5. Therefore is suitable to develop wind turbine to produce electrical power for RL (Resistor Load). Based on the argument above, so this research entitled: “Analysis Of Eco Green Wind Turbine Design For Sahara Desert Using Fuzzy Logic”. The objectives of this research are: to design and development of eco green vertical axis wind turbines (VAWT) in Sahara Desert, to analysis of suitable eco green vertical axis wind turbines (VAWT) in Sahara Desert using MATLAB and to analysis of how fuzzy logic use in wind turbine design. Research model used input process in Matlab simulation and output is the design and analysis of efficiency wind turbines.

PROTOTYPE OF HOSPITAL WASTE MEASUREMENTS INTEGRATED BASED ON ISO 14001 Muhammad Rifai Rifai; Muhammad Qomaruddin Qomaruddin; Arief Marwanto Marwanto; Barry Nur Setyanto Nur Setyanto
Journal of Telematics and Informatics Vol 9, No 2 (2021)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v9i2.

One of the water pollution is wastewater that comes from hospitals. The surrounding community can suffer from this disease because hospital wastewater contains quite high organic compounds also contains other chemical compounds as well as pathogenic microorganisms. stabilize the pH. The levels of pH, TDS, and TSS can also be affected by the concentration of wastewater. The higher the dilution rate of the wastewater, the lower the pH, TDS, and TSS levels will also be higher. The results of the test with 4 different water media showed that the pH, TDS and TSS sensors were able to work well where in tap water and coffee showed normal results and stale tea water and betadine water is not normal. The pH, TDS, TSS sensors are able to detect normal water conditions in tap water and coffee with a pH value of 6.89 to 5.41 TDS 179.71 to 279.41 ppm and TSS 1.00 ntu to 16.00 ntu. pH, TDS, and TSS sensors are also able to detect abnormal water conditions in stale tea water and betadine water with a pH ranging from 4.24 – 4.56 TDS 246.11 ppm – 1129 ,54 ppm and TSS 7 ntu – 13 ntu. These values are in accordance with the liquid waste quality standards that have been set in the regulation of the Minister of Health of the Republic of Indonesia number 7 of 2019 concerning hospital environmental health

Clustering of Heterogen Discussion Group Using K-Medians Clustering Equal Distribution for Increasing Knowledge Skill in Vocational High School F Feriawan; Imam Much Ibnu Subroto; Muhammad Qomaruddin
Journal of Telematics and Informatics Vol 9, No 1
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v9i1.

To increase education quality on student resources context and learning system, every vocational school has managing self. The Empowerment system as a key component to increase quality in those vacational school. If learning system is owned by vacational school, the learning system will be able to give great contribut on student’s learning activities and student resources be possessed by vacational school will potential to good achievemnt. This study is done with aim groping group-discussion based on indicator communication and humorous to increase their knowledge and skill heterogeneously by using k-medians clustering analysis at Vocational School (SMK) Sore Tulungagung. Communication value and humorous as enhancement study on knowledge and skill in subject digital simulation for student class X expertise competency at motorcycle engineering as base their value. Student class X divided into 2 groups following Group based on k-medians and group based on random than research analysis to get average value k medians communication and humorous to increase study on knowledge and skill before and after learning group-discussion evaluated. The enhancement class value based on k-medians 4,980 from average before learning 82,542 to be 87,521 after evaluated, while class based random only increase value 0,125 and average before learning 81,250 to be 81,375 after learning evaluated. Based on result of groping group-discussion heterogeneously on indicator communication and humorous to increasing knowledge and skill is grouped by using K-medians clustering method more seen increase.

Deteksi Ketersediaan Tempat Parkir menggunakan Mask R-CNN (Studi Kasus : Fakultas Teknologi Industri Universitas Islam Sultan Agung) Ahmad Ayudhawara; Bagus Satrio Waluyo Poetro; Muhammad Qomaruddin
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

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

Tempat parkir merupakan sarana yang dibutuhkan hampir oleh setiap orang, dan lagi jumlah pemilik kendaraan bermotor di Indonesia terus meningkat setiap tahunnya. Hal tersebut dapat menjadi suatu permasalahan untuk pengguna kendaraan untuk dapat menemukan lahan parkir yang semakin sedikit. Di zaman sekarang ini sudah banyak metode yang digunakan untuk dapat memudahkan sistem perparkiran, salah satunya dengan menggunakan ilmu citra digital. Sistem ini menggunakan metode deteksi objek pada citra digital yaitu Mask R-CNN dimana metode tersebut dapat mendeteksi banyak objek pada satu frame dengan hasil keluaran yang lebih lengkap. Sistem ini dibangun agar memudahkan pengguna kendaraan mobil untuk mencari lahan parkir yang masih kosong. Pengujian sistem ini menggunakan tiga sampel video dengan tempat dan kondisi yang berbeda. Hasil pengujian menunjukkan untuk rata-rata akurasi ketersediaan tempat parkir sebesar 96%, namun akurasi untuk deteksi objek kendaraan masih belum bagus.Keyword: mask r-cnn, parkir, deteksi objek.

Smart System Side Slip Tester Results Accuracy Improvement Using Exponential Filter Arief Marwanto; Riky Maulana Firdaus; Muhammad Qomaruddin; Deshinta Arrova Dewi; Tri Basuki Kurniawan; Imam Much Ibnu Subroto
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 2: June 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i2.3576

According to Article 6, Paragraph 1, of Law No. 55 of 2012 Concerning Cars, cars that are not roadworthy are particularly harmful for the safety of passengers and other road users. The front wheel ring, which has a significant impact on the safety of the motorized vehicle, is one of the technical requirements for roadworthiness. The front wheel pins make sure the car can go straight, which is related to the steering system's safety and has an impact on fuel economy. Through routine testing at the motor vehicle testing facility owned by the Transportation Service, the front wheel valve examination is performed using a front wheel blade test tool known as the Side Slip Tester. Previously, a lot of the automobile test equipment used at various test facilities was impractical and inaccurate. The construction of a smart system for evaluating wheel blades on cars is covered in this study, along with the implementation of an exponential filter to improve and lower the noise in sensor readings of ADC signals. By comparing the readings of the manufactured tool with a calibrated dial indicator, tests and calibrations are performed. The graph shows that the response to the input signal is quick and excellent for noise filtering, so based on the results of the exponential filter test, 0.2 is the ideal weight for the ADC reading filter. The 9 mm side slip bench shear test yields a maximum error result of 3% following tool calibration.

Mamdani fuzzy-based water quality monitoring and control system in vannamei shrimp farming using the internet of things Muhammad Qomaruddin; Andi Riansyah; Hildan Mulyo Hermawan
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp180-187

Indonesia's vast ocean expanse, spanning two-thirds of its land, is a treasure trove of marine resources, with shrimp being a vital commodity in the country's fisheries exports. To ensure successful shrimp production, maintaining optimal water conditions is paramount, necessitating extensive, large-scale monitoring. Enter our innovative prototype an internet of things (IoT) system designed for comprehensive pond water quality oversight. This smart system monitors crucial parameters like pH, turbidity, temperature, and dissolved solids in vannamei shrimp cultivation. The Mamdani fuzzy approach dynamically adjusts operations in response to changing weather conditions, fine-tuning both pump and windmill speeds. This adaptive methodology significantly improves water quality control, enhancing overall efficiency. Our IoT infrastructure ensures real-time monitoring and control, creating an ideal environment for shrimp cultivation. The Mamdani fuzzy technique’s effectiveness shines in adapting to dynamic environmental shifts. Noteworthy findings underscore the system's ability to automate and elevate pond water quality, promising increased shrimp production. This technology has the potential to revolutionize traditional shrimp farming, particularly in regions like Rembang, by promoting sustainable aquaculture practices.

Co-Authors Abdelhadi Husein Aburawis Abdul Hamid Adjat Sudradjat Ahmad Ayudhawara Ahmad, Zainal Ahsraf Ashraf Khalil Andi Riansyah Anton Anton Arief Marwanto Azizah Abdul Rahman Azizah Abdul Rahman Dedy Kurniadi Deshinta Arrova Dewi Dwiza Riana Emah Khuzaemah F Feriawan Habib ALzaroug Abobaker Wardeko Hermawan, Hildan Mulyo Hildan Mulyo Hermawan Iahad, Noorminshah A. Iahad, Noorminshah A. Imam Much Ibnu Subroto Jimsan Jimsan khaled jemah basher Marva Mirabolghasemi Maya Indriastuti Mirabolghasemi, Marva Moch Taufik Muhamad Haddin Muhammad Rafli Ramadhan Muhammad Rifai Rifai Muhammad Syaiful Anwar Mustafa, Mustafa Noorminshah A. Iahad Noorminshah A. Iahad Noorminshah A. Iahad Noorminshah A.Iahad Novianty, Deny Palasara, Nico Dias Poetro, Bagus Satrio Waluyo Rafi Ullah Rahman, Azizah Abdul Randhiati, Raisa Riansyah, Andi Riky Maulana Firdaus robi sopandi Roichatul Jannah Satria Mandala Setyanto, Barry Nur Sri Mulyono Sucipto, Dany Tri Basuki Kurniawan Wael M.S. Yafooz Yudha Adi Putra

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