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All Journal JUITA : Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Journal Information System Development JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems Journal of Soft Computing Exploration Jurnal Pengabdian Kepada Masyarakat Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Brilliance: Research of Artificial Intelligence Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi International Journal of Multidisciplinary Sciences and Arts SOROT: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Indonesia Sejahtera Jurnal Pelayanan Masyarakat Jurnal Ilmu Komputer dan Informatika
Moch Yusuf Asyhari
Department Of Informatic Engineering, Universitas PGRI Madiun, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Implementasi Teknologi Web Geospasial dan Decision Tree untuk Klasifikasi Sebaran Pengumpulan Zakat Susanti, Pratiwi; Asyhari, Moch Yusuf; Juwari, Juwari; Ahmad, Khairul Adila; Shamsuddin, Norin Rahayu; Tajuddin, Taniza
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7027

Abstract

As one of the five pillars of Islam, zakat significantly contributes to socio-economic development and growth in a region. Zakat collection in the city of Madiun has various challenges, including the motivation of muzakki as zakat payers. Zakat is an obligation for someone with assets or income exceeding basic needs to fulfill their living needs. One way to increase motivation to pay zakat is using geospatial web technology to map muzakki in the city of Madiun. Muzakki report data, which previously had the form of a graphic diagram, was changed to a more interactive geospatial form. Several essential advantages in its implementation include embedding precise coordinate points to facilitate the geospatial-based monitoring process, important notes and information about muzakki, and the classification of zakat collection, including collecting zakat in high, medium, and low amounts. This method can represent muzakki mapping more easily and clearly so that zakat institutions (BAZNAS) can quickly determine their policies to increase zakat collection.
Sosialisasi dan Pengembangan Situs Web di Madrasah Aliyah Ma’arif 1 Ponorogo Asyhari, Moch Yusuf; Aria Bima, Alim Citra; Yunitasari, Yessi; Cahyono Putro, Moh. Rizal Bagus; Cahyo, Wahyu Nur
SOROT : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2024): Juli
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/sorot.v3i2.7507

Abstract

Madrasah Aliyah Ma'arif 1 Ponorogo has introduced website development as a response to developments in information technology. This website is an important need in strengthening communication with students, parents and the community in today's digital era. The main problems faced are low access to school information and lack of interaction with the wider community. The solution to overcome this, website development facilitates easy access to information such as school profiles, academic programs, extracurricular activities, student achievements, as well as religious and social activities. The development method involves needs analysis, structured planning, comprehensive material collection, design and development, implementation, user training and outreach, and regular evaluation. The main goal is to strengthen the school's image at local and national levels, as well as increase community involvement in supporting modern and efficient education. This activity contributes to the development of information technology-based education, with a focus on increasing information accessibility and interaction of various lines in the context of Islamic education.
Penerapan Algoritma Random Forest Untuk Klasifikasi Kualitas Air Berbasis Web Rifky Reza Swarga; Moch Yusuf Asyhari
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 1 No. 3 (2025): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

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

Abstract

This study aims to find out how to classify water quality, accuracy and efficiency in the water quality classification process using the Random Forest method. This system is built through a website-based application that uses the Python programming language, HTML, CSS, Javascript and the Flask framework. In addition, this study uses the Rapid Application Development software development method. This method allows the development team to respond quickly and flexibly to changing needs. This method consists of several development cycles, each of which consists of requirements planning, system design, modeling, model testing, refinement, development, implementation, and evaluation. The results of the study show that the RF model has an accuracy level, is 78% with a precision 83%, recall 80%, and fi-score value of 82%. Overall, this study successfully shows that the application of RF algorithms to the water quality classification system through a website-based application gives very impressive results in terms of accuracy. The Rapid Application Development approach also helps in dealing with changes and challenges in the software development process. The results of this research can make an important contribution to further development in the field of water quality recognition.
Implementasi Sensor LDR dalam Pengembangan Lampu Otomatis untuk Efisiensi Energi di Desa Sumbersawit Moch Yusuf Asyhari; Inung Diah Kurniawati; Bryan Ricky Christoffel; Ilman Winas Saputra
Jurnal Pelayanan Masyarakat Vol. 2 No. 2 (2025): Jurnal Pelayanan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/jpm.v2i2.1626

Abstract

Street lighting is very important as a road facility at night, especially in rural areas. Sumbersawit Village, Sidorejo District, Magetan Regency has a problem of lack of adequate lighting system around village roads and public areas. Therefore, a breakthrough is needed to overcome this problem. One way is to hold community service in Sumbersawit Village through LDR sensor implementation activities in developing automatic lights for energy efficiency. This activity is carried out through five main stages, which include: (1) survey and identification of needs, (2) system design and manufacture, (3) socialization and education, (4) installation of automatic lighting system, and (5) evaluation and follow-up. This community service activity was welcomed by the village apparatus and the Sumbersawit village community, so that the activity can run smoothly.
Sound detection of gamelan musical instruments using teachable machine Yunitasari, Yessi; Asyhari, Moch Yusuf; Kurniawati, Inung Diah; STT, Latjuba Sofyana
Journal of Soft Computing Exploration Vol. 6 No. 2 (2025): June 2025
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v6i2.576

Abstract

Gamelan is an instrument of musical expression that has an aesthetic function related to social, moral, and spiritual values. Gamelan consists of a variety of musical instruments that have a unique sound. In this study, the sound detection of nine gamelan musical instruments was carried out using a teachable machine. The gamelan musical instruments detected included gong, kenong, saron, bonang, gambang, kendang, flute, siter, and rebab. The algorithm used is CNN. The CNN algorithm has a fairly good performance for the sound detection process. The test results of the built model show an "acc" value of 25 ranging from 0.99 to 1, which indicates that the model achieves an accuracy rate of 99% to 100% on the training dataset. At the same time, "test accuracy" refers to a measure of the model's effectiveness in predicting data it has not encountered during training. The "test accuracy" score varied from 0. 83, which shows that the validation data has an accuracy of 83%.
Protocol Analysis: 2.4 GHz Interference Frequency in the IEEE802.3ab Protocol Juwari, Juwari; Asyhari, Moch Yusuf; Susanti, Pratiwi; Cahyono Putro, Moh Rizal Bagus
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4763

Abstract

Interference at the 2.4 GHz frequency is currently a significant problem in wireless networks. Especially on networks with environmental conditions where there are many active devices at the same time. This study analyzes the impact of interference on Delay and Jitter on IEEE 802.3ab protocol networks. The IEEE 802.3ab protocol is commonly known as the Gigabit Ethernet Protocol which already supports data transmission speeds of up to 1 Gbps. This study conducts various scenarios and simulates when interference occurs using five active access points (APs). The device's access points (APs) are all using the same 2.4 GHz frequency and channel. The data collection method uses the Wireshark application to measure the Delay and Jitter values at different interference levels. The results of simulations and tests with various scenarios show that there is a relationship between increased interference and Delay values. The Delay value is 14.129 ms when using a single AP without Interference. The Delay value increases to 1076,3730 ms in the event of interference with five APs. The jitter value increased from 0,2109 ms without interference. However, if there is interference with the active AP as much as 5 Jitter values to 17,9396 ms. Research shows that the jitter value is according to the TIPHON standard in the "Good" range. Meanwhile, the Delay value decreased significantly until it reached the "Poor" category when five APs were active. This research focuses on the need and importance of effective interference management to maintain network quality in interference-dense environments. This shows that optimizing for channel selection and frequency management is essential to reduce latency and improve transmission stability.
The Implementation of Business Intelligence to Analyze Sales Trends in the Indofishing Online Store Using Power BI Anardani, Sri; Azis, Muh Nur Luthfi; Asyhari, Moch Yusuf
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3232

Abstract

The growth of online sales businesses by utilizing E-Commerce is increasing rapidly. One way that can be used as a tool to face competition is to apply Business Intelligence as a basis for making the right business strategy decisions. Indofishing Shop is an online shop selling various fishing gear and equipment. So far, online sales transaction data processing uses Microsoft Excel, which has created problems with the need for more information to analyze product trends. This research applies Business Intelligence to detect data extracted and collected in a data warehouse. The data will be analyzed statistically and visualized using Microsoft Power BI. Data warehouse design uses Kimball's Nine-Step method. The results of this research are in the form of a visualization dashboard that is used to analyze sales trends for the most sold fishing equipment products from the Indofishing Shop. Diagram visualization helps Indofishing understand the trend conditions of the most in-demand products and the cities of origin of the buyers who buy the most products.
Implementation of Forecasting with the Monte Carlo Simulation Method to Predict Supply and Demand for Psychotropic Drug Products Bima, Alim Citra Aria; Susanti, Pratiwi; Asyhari, Moch Yusuf
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3515

Abstract

The availability of drugs is one of the needs that supports the presence of health in the community. Patient certainty regarding the availability of drugs becomes increasingly important for patients who use psychotropic drugs. This type is a dangerous drug and needs to be controlled. Control is carried out to avoid drug abuse outside of medical purposes. Two conflicting sides between the importance of ensuring the availability and controlling their use can be resolved, one of which is by measuring supply and demand. The availability of psychotropic drugs should be adjusted to demand. The problem is that we cannot know demand that has not yet occurred, drugs have an expiration date, and procuring drugs takes time. One way is to predict the demand when supplying drugs so that the order quantity is appropriate. The prediction method used is the Monte Carlo Simulation Method. One example of implementation is the Economic Order Quantity (EOQ) Method. As a result, the Monte Carlo method successfully made predictions based on existing data. In addition, it was found that the Monte Carlo Method tended to the distribution of the data used. The closer the distance between the data, the higher the prediction accuracy obtained. Uncertainty in actual demand is also a big challenge for producing accurate predictions based on patterns. Prediction results will be more accurate with more data patterns and variations. Implementation of prediction results with EOQ makes the number of drugs that should be ordered based on demand that is likely to occur.
Co-Authors Abdul Rozaq Ahmad, Khairul Adila Alim Citra Aria Bima Alim Citra Aria Bima Aminuyati Anardani, Sri Aria Bima, Alim Citra Ayunda Nur Hapsari Azis, Muh Nur Luthfi Bima, Alim Citra Aria Bryan Ricky Christoffel Cahyo, Wahyu Nur Cahyono Putro, Moh Rizal Bagus Cahyono Putro, Moh. Rizal Bagus Dhomas Hatta Fudholi Eka Resty Novieta Sari Estuning Dewi Hapsari Fatim Nugrahati Fery Luvita Sari Hapsari, Estuning Dewi Ilman Winas Saputra Inung Diah Kurniawati Juwari Juwari Kelik Sussolaikah Kurniawati, Inung Diah Muh Nur Luthfi Azis Muh Nur Luthfi Azis Nita, Sekreningsih Pratiwi Susanti Pratiwi Susanti Puguh Jayadi Rifky Reza Swarga Shamsuddin, Norin Rahayu Slamet Yulianto Sri Anardani STT, Latjuba Sofyana Susanti, Pratiwi Tajuddin, Taniza Yessi Yunitasari