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All Journal Indonesia Berdaya Jurnal JEETech JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Ilmiah Kesehatan (JIKA) Jurnal Pengabdian Masyarakat Bhinneka Research Horizon Jurnal Kesehatan dan Teknologi
Saleh, Husna
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Optimalisasi Penentuan Bonus Karyawan dengan Sistem Pendukung Keputusan Metode TOPSIS di PT. Elizabeth Hanjaya Asia, Siti Nur; Fuad, M Noor; Saleh, Husna; As'ad, Muhammad; Irfan, Irfan
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 4 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss4pp996-1009

Abstract

PT. Elizabeth Hanjaya is a retail company that provides various fashion products, PT. Elizabeth Hanjaya is a retail company that offers a variety of fashion products such as bags, shoes, accessories, and fashion supplies for men and women. This study uses the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method to build a decision support system in determining employee bonus recipients in this company. The purpose of the study is to design a system that can assess the feasibility of receiving employee bonuses based on the TOPSIS method. This method works by choosing an alternative that has the closest distance from the positive ideal solution and the furthest from the negative ideal solution based on geometric principles. The system is designed using Unified Modeling Language (UML) and developed with the PHP programming language. The results of the study show that the assessment system is able to produce accurate decisions. Based on testing with four alternatives, the TOPSIS method determines alternative 1 as the employee who is most eligible to receive a bonus with a final value of 0.675360. In addition, user evaluation results showed a high level of satisfaction, with 92% of respondents giving a "strongly agree" rating.
Rancang Bangun Tong Sampah Cerdas Menggunakan Suara Sebagai Media Informasi Berbasis Arduino Uno Nur Asia, Siti; Sofyan, Sofyan; Saleh, Husna; Ikhwan Mardin, Muhammad; Noor Fuad, M
Jurnal JEETech Vol. 6 No. 1 (2025): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i1.6108

Abstract

Garbage is one of the problems that we often encounter in the community. One of the factors causing the accumulation of garbage is the lack of public awareness to dispose of garbage in its place. In this problem, it is necessary to have a smart trash can using sound information media which includes Ultrasonic Sensors as distance detectors and trash volume detectors, Servos are used to control the trash can cover, Speakers are used as information media, DFPlayer mini is used as a voice recorder and microcontrollers are used as input data processors from the components used. The trash can cover will open and close automatically by detecting humans at a distance of ≤ 30 cm then detecting the height of the trash from the trash can cover ≤ 10 cm then the trash can is full then the trash can cover will not open and emit information in the form of sound. The method used in this study is the experimental method, namely by designing, assembling, and testing a smart trash can system based on Arduino Uno. Testing was conducted to evaluate the performance of the sensor, and the voice module in responding to the presence of objects in front of the trash can. This research is useful for the community because it can increase awareness in disposing of garbage in its place through an interactive approach in the form of sound, thus supporting the creation of a cleaner and more orderly environment. In addition, scientifically, this research contributes to the development of science and technology, especially in the field of hardware that can be used as a basis for similar innovations in various fields of life.
An analysis of speech act in whatsapp Syawal, La Ode Muhamad Irwin; Mardin, Muhammad Ikhwan; Saleh, Husna; Fuad, M. Noor; As’Ad, Muhammad
Indonesia Berdaya Vol 5, No 2 (2024)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.2024774

Abstract

Language is a crucial aspect of our lives, serving as a bridge for communication among individuals. People use language to convey emotions, ideas, desires, and feelings. One platform for communication is WhatsApp. Many people enjoy chatting on WhatsApp, but not all of them grasp the meaning behind each utterance spoken or sent by the speaker or sender. Various linguistic aspects, including speech acts, can be explored on WhatsApp, such as pragmatics, semantics, and sociolinguistics. This study aims to analyze the factors that lead to misunderstandings when performing perlocutionary acts on WhatsApp and how locutionary acts influence perlocutionary acts on the platform. The research findings identify several causes of misunderstandings in the communication process through WhatsApp. Firstly, incorrect punctuation usage contributes to misunderstandings. Secondly, typographical errors are another common factor. Thirdly, incomplete sentences resulting from typing too quickly make it challenging to comprehend the intended message. Fourthly, issues such as poor network connectivity lead to only a fraction of the message reaching the recipient. Additionally, locutionary acts represent the literal meaning of a sentence. The conclusion of this research is the impact of locution on perlocution depends on how effectively locution can convey instructions or meanings of the spoken sentence. If the utterance is not well-understood by the listener, they may not execute or comprehend the intended meaning, leading to perlocutionary acts and miscommunication between the individuals involved.
Application of Computer Vision for Customer Insights: Demographics and Visit Duration in Coffee Shops Faisal; Rachmat; Saleh, Husna; Irfan; As’ad, Muhammad
Research Horizon Vol. 5 No. 5 (2025): Research Horizon - October 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.5.2025.811

Abstract

The coffee shop industry is increasingly competitive, requiring business owners to adopt data-driven strategies rather than rely solely on intuition, as traditional approaches such as surveys and manual observation are often subjective, time-consuming, and lack scalability. This study aims to design, implement, and evaluate an end-to-end intelligent system based on computer vision to automatically and non-intrusively analyze customer demographics (age and gender) and visit duration (dwell time). The proposed framework emphasizes both technical accuracy and privacy-by-design principles, where facial data is processed in real time without storage, and only anonymized metadata is utilized for business analysis. Using a simulated 60-minute test video containing 50 virtual customers with balanced gender, varied age groups, and predetermined visit durations, the system was evaluated and demonstrated strong performance, achieving 96% accuracy in gender classification, 89% in age group classification, and a Mean Absolute Error (MAE) of less than 45 seconds in dwell time measurement. The findings confirm that the ethical application of computer vision can provide valuable business insights, including the identification of demographic-based peak hours, the recognition of product preferences, and the optimization of spatial layouts, ultimately enabling coffee shops and SMEs to enhance competitiveness and profitability through data-driven decision-making.
DISEASE DETECTION SYSTEM IN COFFEE PRUNS USING MOBILENET ALGORITHM AM, Armadi; Mardin, Muhammad Ikhwan; Saleh, Husna
Jurnal Kesehatan dan Teknologi Vol. 1 No. 1 (2024): Jurnal Kesehatan dan Teknologi
Publisher : Institut Kesehatan dan Teknologi Buton Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64879/jkestek.v1i1.33

Abstract

Coffee fruit is a crop that has a strategic role in the economy and is a source of livelihood for most farmers in various tropical regions. The disease detection system on coffee fruit using the MobileNet algorithm is a technology that combines artificial intelligence and image processing to identify infected diseases in coffee plants. In this study, researchers used the Cobb-Douglas method and regression conducted by researchers using E-Views software. The results showed that the MobileNet algorithm in detecting diseases in coffee is quite efficient in terms of computation and the size of the detection system model has achieved the best accuracy, namely with 92% training accuracy and 85% testing and validation accuracy.
Social Media Platforms with Adolescents' Knowledge and Attitudes towards Nutrition Ibrahim, Muh. Siddik; Dahlia, Besse; Alwi, Juwitriani; Hayati, Nur; Saleh, Husna; Mardin, Muhammad Ikhwan
Jurnal Ilmiah Kesehatan (JIKA) Vol. 7 No. 1 (2025): Volume 7 Nomor 1 April 2025
Publisher : Sarana Ilmu Indonesia (salnesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36590/jika.v7i1.1171

Abstract

Along with the development of technology, social media has become an integral part of adolescents' daily lives. This study is concerned with significant changes in the behavioral patterns of high school adolescents, particularly in terms of the consumption of information about nutrition. This study aimed to bridge the knowledge gap and understand the practical implications of the relationship between the use of social media platforms and knowledge and attitudes about nutrition among secondary school adolescents. This type of research is a cross-sectional study approach. This study was conducted in 2024 in the Buton district with a sample in the study of MAN 1 Buton students, using a purposive sampling technique of as many as 37 people. Data analysis used bivariate analysis to test the null hypothesis using the chi-square (X2) formula. This study showed a relationship between the use of social media with knowledge and attitudes about nutrition, with significant results on the frequency of length of use per day (p-value=0,05). In addition, there was also a significant relationship between the type of social media used and attitudes about nutrition (p-value=0,031). This study concludes that its findings have significant implications for health education, particularly in guiding the development of curricula that incorporate social media as an effective and contextually relevant platform for delivering nutrition education to adolescents.
Edukasi Pemilahan Sampah Organik dan Anorganik serta Pengelolaan Sampah Yang Tepat di SDN Lolayan Imban, Putri Natasya; Mokodompit, Diva; Akbar, Hairil; Mokodompit, Hafsia Khairun Nisa; Amir, Echa Effendy Siswanto; Astuti, Windi; Bandu, Jumiati; Saleh, Husna
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.718

Abstract

Kegiatan pengabdian masyarakat ini bertujuan melakukan edukasi tentang pemilahan sampah organik dan anorganik serta pengelolaan sampah yang tepat di Sekolah Dasar Negeri Desa Lolayan. Sampah merupakan benda-benda yang sudah tidak digunakan atau tidak terpakai oleh pemiliknya. Berdasarkan sifatnya, sampah dibagi menjadi dua yaitu sampah organik yang mudah terurai oleh mikroorganisme dan sampah anorganik yang sulit terurai serta membutuhkan waktu lama dalam proses penguraian. Kegiatan dilaksanakan melalui ceramah interaktif, diskusi, dan kuis yang melibatkan siswa-siswi sekolah dasar Desa Lolayan. Materi mencakup pengertian sampah organik dan anorganik, cara pemilahan sampah, manfaat pemilahan sampah, serta cara pengelolaan sampah daur ulang menjadi benda bermanfaat. Hasil evaluasi menunjukkan bahwa siswa-siswi dapat memahami cara memilah sampah dan memanfaatkan sampah yang dapat didaur ulang menjadi benda bermanfaat. Faktor pendukung keberhasilan kegiatan ini adalah dukungan pihak sekolah, antusiasme peserta, serta kerja sama antara tim pelaksana dan guru. Kegiatan ini berkontribusi dalam membentuk kesadaran dan perilaku hidup bersih di lingkungan sekolah. Secara keseluruhan, edukasi pemilahan sampah ini menjadi langkah awal dalam menciptakan lingkungan yang sehat, bersih, dan minim sampah di sekolah dasar.
Pelatihan Dasar Perangkat Lunak Microsoft Word dan Microsoft Excel Bagi Perangkat Desa Lolayan Saleh, Husna; Potabuga, Ridwan; Makalalag, Titie Hadjar; Hadi, Alfan Nur; Walangadi, Tiara Regina; Ombeng, Stella Maria; Albasri, Mirna; Mokoagow, Yusuf; Lukar, Marlina Tasya
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.796

Abstract

Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan meningkatkan kemampuan digital perangkat Desa Lolayan, Kecamatan Lolayan, Kabupaten Bolaang Mongondow. Berdasarkan observasi, sebagian besar perangkat desa masih kesulitan menggunakan Microsoft Word dan Excel yang penting dalam administrasi serta pelaporan kegiatan desa. Pelatihan dilaksanakan melalui metode ceramah, demonstrasi, praktik langsung, dan tanya jawab interaktif. Materi mencakup pengenalan antarmuka, pembuatan surat resmi, tabel data, rumus sederhana, dan laporan kegiatan. Kegiatan diikuti oleh enam perangkat desa dan berlangsung di Kantor Desa Lolayan. Hasilnya menunjukkan peningkatan kemampuan peserta dalam mengelola dokumen serta meningkatnya kesadaran pentingnya literasi digital untuk menunjang efisiensi kerja. Kegiatan ini diharapkan mendorong perangkat desa menuju tata kelola administrasi yang lebih modern, efektif, dan berbasis teknologi informasi.
Co-Authors Albasri, Mirna Alwi, Juwitriani AM, Armadi As'ad, Muhammad Asia, Siti Nur As’ad, Muhammad Bandu, Jumiati Besse Dahlia Echa Effendy Siswanto Amir Faisal Fuad, M Noor Fuad, M. Noor Hadi, Alfan Nur Hafsia K.N Mokodompit Hairil Akbar Ibrahim, Muh. Siddik Imban, Putri Natasya Lukar, Marlina Tasya Makalalag, Titie Hadjar MMSI Irfan ,S. Kom Mokoagow, Yusuf Mokodompit, Diva Muhammad Ikhwan Mardin Noor Fuad, M Nur Asia, Siti Nur Hayati Ombeng, Stella Maria Rachmat Ridwan Potabuga Sofyan Sofyan Syawal, La Ode Muhamad Irwin Walangadi, Tiara Regina Windi Astuti