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All Journal Journal of Community Service (Abdisci) Journal Of Engineering Sciences (Improsci)
Ade Johar Maturidi
Universitas Sindang Kasih, Majalengka
Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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PERSONAL BRANDING DEVELOPMENT STRATEGY FOR UMKM VILLAGE WANASABA LOR, WEST JAVA, INDONESIA Ade Johar Maturidi; Lilis Suharti; Muangsal Muangsal; Moh Setiawan
Jurnal Abdisci Vol 2 No 3 (2025): Vol 2 No 3 Tahun 2025
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/abdisci.v2i3.549

Abstract

Community service activities in Wanasaba Lor Village, Talun District, Cirebon Regency, aim to develop the social and cognitive sensitivity of lecturers and students and support the acceleration of development. This village is located in the lowlands with a dense population. This community service activity involves dividing the areas of two hamlets, namely Hamlet 1 and Hamlet 2, with a total of 20 RTs and 5 RWs. This village is located approximately 3.2 km from the sub-district and 2.4 km from the Cirebon district government center. Administratively, Wanasaba Lor Village is included in the semi-urban village category. Community service organizers chose Wanasaba Lor Village as the practice site, and a site inspection and communication with the village head was carried out to ensure agreement and support in realizing the development and welfare of the local community.
Implementation Of Speech Recognition For Voice Command Use Ade Johar Maturidi; Didan Osman; Muhamad Sulaeman
Jurnal Improsci Vol 3 No 1 (2025): Vol 3 No 1 August 2025
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/improsci.v3i1.1008

Abstract

Background. Physical limitations of a person sometimes make it impossible to operate a computer with only a keyboard and mouse, Aims. One tool that can be used is a voice command, which is part of speech recognition technology. Methods. The voice signal will be normalized first, and then the coefficient values will be calculated using the Linear Predictive Coding (LPC) and Fast Fourier Transform (FFT) methods. After the coefficient value is obtained, recognition is performed using the backpropagation method of the Artificial Neural Network. Conclusion. The artificial neural network backpropagation method is used because it can adjust its own weights and produce error values that we can determine, thereby improving accuracy. Implementation. This study implements a voice command system using MARF as its speech engine and Java as its programming language.
Herbal Treatment Expert System For Ent Disease Diagnosis Using The Certainty Factor Method Based On Android Ade Johar Maturidi; Muhammad Ali Fajri; Deni Nurgaha
Jurnal Improsci Vol 3 No 2 (2025): Vol 3 No 2 October 2025
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/improsci.v3i2.1048

Abstract

Background. Public understanding of ENT (ear, nose, and throat) diseases remains low. Many people still rely on experts manually, resulting in high costs for the general public. Aims. This research was conducted to develop a tool to assist users in diagnosing ENT (ear, nose, and throat) diseases in humans. This tool, an expert system, is designed to diagnose and provide herbal treatment recommendations. Result. This expert system application produces an application program or tool that can be used to diagnose possible ENT diseases in humans based on user-entered symptoms. Conclusion. System testing demonstrated that the system can diagnose ENT diseases based on patient symptoms, despite the uncertainty of those symptoms. Implementation. The diagnostic results are accompanied by a Certainty Factor value, which indicates the level of accuracy and predictability of the possible ENT disease in humans, along with the corresponding herbal treatment.
Co-Authors Deni Nurgaha Didan Osman Lilis Suharti Moh Setiawan Muangsal Muangsal Muhamad Sulaeman Muhammad Ali Fajri