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All Journal Jurnal Ilmiah Ecosystem INTEK: Jurnal Penelitian Jurnal Teknologi Elekterika EJOIN : Jurnal Pengabdian Masyarakat Journal of Informatics and Computer Engineering Research
Utomo, Muhammad Nur Yasir
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Gamifikasi Aplikasi Kuliner Berbasis Web Sebagai Strategi E-Marketing Produk Bahan Pangan Nur, Rini; Utomo, Muhammad Nur Yasir; Fansab, Nur Ayu Farahgta
Jurnal Ilmiah Ecosystem Vol. 23 No. 1 (2023): ECOSYSTEM Vol. 23 No 1, Januari - April Tahun 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/eco.v23i1.2132

Abstract

Aplikasi kuliner yang berisi ribuan resep masakan memiliki peluang untuk pengembangan stategi e-marketing. Tidak sedikit penyaji resep masakan secara eksplisit menuliskan bahan yang digunakan dengan merek produk yang hanya menguntungkan perusahaan terkait. Penyebutan ini, secara tidak langsung membuat penyaji resep merekomendasikan produk tersebut kepada para pembaca resep. Akan tetapi, penyaji resep tidak mendapatkan feedback apapun dari perusahaan. Penelitian ini bertujuan untuk mengimplementasikan aplikasi kuliner berbasis web yang di dalamnya menerapkan konsep gamifikasi guna memaksimalkan e-marketing dan sosial bisnis. Jenis penelitian yang digunakan adalah penelitian pengembangan, sedangkan data dianalisis secara deskriptif kuantitatif. Alur gamifikasi dimodelkan dalam Graph Database karena unsur-unsur terkait memiliki keterhubungan data satu sama lain yang sangat kuat. Selain memaksimalkan stategi e-marketing melalui aplikasi kuliner, user yang terlibat di dalamnya pun akan mendapatkan benefit dari penyebutan merek bahan pangan tersebut melalui konsep bisnis sosial. Berdasarkan hasil pengujian menggunakan metode blackbox testing, disimpulkan bahwa aplikasi ini berjalan sesuai fungsi dari setiap fitur berdasarkan kondisi masukan. Hasil uji coba melalui kuesioner dengan total 45 responden dimana kinerja sistem menunjukkan nilai 99,98%, pengaruh gamifikasi dalam sistem untuk user menunjukkan nilai 97.7% dan kepuasan responden terhadap user interface menunjukan  nilai 91.1%. Culinary applications that contain thousands of recipes have opportunities for the development of e-marketing strategies. Not a few recipe presenters explicitly write down the ingredients used with product brands that only benefit the related company. This mention indirectly makes the recipe presenter recommend the product to the recipe readers. However, the recipe presenter did not receive any feedback from the company. This study aims to implement web-based culinary applications in which the concept of gamification is applied to maximize e-marketing and social business. The type of research used is development research, while the data is analyzed descriptively quantitatively. The gamification flow is modeled in the Graph Database because related elements have very strong data connectivity with each other. In addition to maximizing the e-marketing strategy through culinary applications, users who are involved in it will also benefit from mentioning the food brand through the concept of social business. Based on the test results using the blackbox testing method, it is concluded that this application runs according to the function of each feature based on input conditions. The test results through a questionnaire with a total of 45 respondents where the performance of the system shows a value of 99.98%, the effect of gamification in the system for users shows a value of 97.7% and respondents' satisfaction with the user interface shows a value of 91.1%.
Penerapan Metode Profile Matching untuk Seleksi Penerima Bantuan Usaha Mikro, Kecil dan Menengah pada Dinas Kopurindag Kabupaten Maros Rahman, Abdul; Utomo, Muhammad Nur Yasir; Yusri, Iin Karmila
Jurnal Ilmiah Ecosystem Vol. 24 No. 1 (2024): Ecosystem Vol. 24 No 1, Januari - April Tahun 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/eco.v24i1.3927

Abstract

Pemerintah Kabupaten Maros memberikan bantuan Usaha Mikro, Kecil dan Menengah (UMKM) berupa dana dan pelatihan UMKM kepada pelaku UMKM yang berasal dari Kabupaten Maros. Dalam proses penerimaan bantuan UMKM tersebut masih banyak kendala yang dihadapi oleh petugas UMKM seperti proses seleksi masih membutuhkan waktu lama sehingga sering terjadi keterlambatan penerimaan bantuan UMKM. Selain itu, terdapat juga masalah dalam melakukan seleksi penerima bantuan UMKM, petugas bantuan UMKM masih melakukanya secara konvensional dan belum adanya standar untuk menghitung dalam melakukan proses seleksi dan harus menilai berdasarkan kriteria yang telah ada. Penelitian ini mengajukan solusi seleksi Penerima Bantuan UMKM Pada Dinas Kopurindag Kabupaten Maros menggunakan algoritma Profile Matching. Dalam penerapan algoritma Profile Matching bekerja berdasarkan kriteria yang telah ditetapkan dengan memberikan hasil berupa perangkingan terhadap data pemohon bantuan UMKM. Adapun kriteria yang digunakan dalam penerimaan bantuan UMKM Pemerintah Kabupaten Maros aspek usaha UMKM yaitu: Jumlah Tenaga Kerja, Modal Awal, Lama Usaha, Omset, dan aspek prinsip 5C yaitu Character, Capity, Capital, Collateral, Conditions. Berdasarkan pengujian yang telah dilakukan, solusi yang diajukan berhasil meranking 5 dari 20 UMKM untuk mendapatkan bantuan UMKM. The Maros Regency Government provides Micro small and Medium Enterprises (MSME) assistance in the form of funds and MSME training to MSME actors from Maros Regency. In the process of receiving MSME assistance, there are still many obstacles faced by MSME officers, such as the selection process still takes a long time, so there are often delays in receiving MSME assistance. Apart from that, there are also problems in selecting recipients of MSME aid, MSME aid officers still do it conventionally and there are no standards for calculating when carrying out the selection process and have to assess based on existing criteria. This research proposes a solution for selection of MSME Assistance Recipients at the Maros Regency Kopurindag Service using the Profile Matching algorithm. In implementing the Profile Matching algorithm, it works based on predetermined criteria by providing results in the form of ranking data on applicants for MSME assistance. The criteria used in receiving MSME assistance from the Maros Regency Government for the MSME business aspects are: Number of Workers, Initial Capital, Length of Business, Turnover, and aspects of the 5C principles, namely Character, Capity, Capital, Collateral, Conditions. Based on the tests that have been carried out, the proposed solution succeeded in ranking 5 out of 20 MSMEs to receive MSME assistance.
Sistem Manajemen Konferensi Ilmiah Berbasis Web Menggunakan Metode Pengembangan Waterfall Utomo, Muhammad Nur Yasir
Jurnal Teknologi Elekterika Vol. 19 No. 1 (2022): Mei
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v6i1.2751

Abstract

Scientific publications are a means of delivering research results and innovations of researchers. Recently, researchers' interest in publishing publications is also increasing. This increase occurred in the publication of papers through scientific conferences. This encourages the need for the use of information technology to facilitate conference management. However, the application of the conference management system is still minimal. Based on these problems, this study proposes a web-based conference management method. The system is built using a MySQL database and Model-View-Controller (MVC) code architecture in PHP. Therefore, every conference process can be included in the system. the system is designed with three main modules, namely the participant/presenter module, reviewer module, and committee/admin module, which covers the entire conference process starting from registration, paper submission, review, payment and distribution of presentation rooms. Trials and evaluations are carried out using the Black Box Testing method to ensure the system can work well. The results of the tests and evaluations that have been carried out show that the proposed system is proven to have good performance with a score of 100% or successfully fulfills all existing test scenarios
Development of an Agricultural Department Application to Predict Small Chili Prices Maemunah, Maemunah; Utomo, Muhammad Nur Yasir; Nur, Rini
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5104

Abstract

Small chili farmers in Soppeng Regency face challenges in planning production and marketing due to fluctuating prices. To assist various stakeholders, an accurate price prediction system is needed. This research proposes a system solution to predict small chili prices using the Gradient Boosting Algorithm. The Gradient Boosting Algorithm is employed to predict prices based on historical data using tools such as Visual Studio Code, Microsoft Excel, Python, PHP, CSS, and SQL. The dataset used consists of chili price data provided by the Department of Agriculture of Soppeng Regency, covering prices from 2018 to April 2024. The developed prediction system is capable of providing accurate price predictions, aiding farmers, traders, and consumers in production and purchasing planning. This algorithm is highly effective in predicting small chili prices and offers significant benefits to farmers, traders, and consumers in the region. The system was tested using Mean Absolute Error (MAE) and User Acceptance Testing (UAT). The results showed that the prediction error, measured using MAE, was 2730.83. Meanwhile, the User Acceptance Testing yielded a questionnaire score of 86.27%, indicating that the system has excellent performance and is highly suitable for use. It is hoped that this system will provide benefits to the entire community, especially small chili farmers, in production planning.
CATTLE DISEASE DIAGNOSIS SYSTEM USING RANDOM FOREST CLASSIFICATION METHOD Syam, Muh. Fadhil; Utomo, Muhammad Nur Yasir; Tungadi, Eddy
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5563

Abstract

Cattle farming plays an important role in Indonesia's economy, but its productivity can decline due to livestock health issues. To address this, this study develops a cattle disease diagnosis system based on machine learning using the Random Forest classification method. The system helps farmers identify diseases independently based on input symptoms. The model is built using the Random Forest algorithm, trained on 1745 primary data obtained from the Barru Regency Department of Agriculture. The data undergoes a comprehensive pre-processing stage, including cleaning to remove inconsistencies, One-Hot Encoding for categorical feature transformation, and class balancing using the Synthetic Minority Over-sampling Technique (SMOTE) to ensure fair representation of all disease categories. Model evaluation using a Confusion Matrix demonstrates a high accuracy of 91%, indicating strong predictive performance. Based on the model, a mobile application based on Android is developed to assist farmers in the early detection of cattle diseases.
PENGEMBANGAN SISTEM ZONASI PADA APLIKASI SAPEDA MADRASAH ALIYAH KABUPATEN PANGKEP MENGGUNAKAN METODE HAVERSINE FORMULA Muh. Fajri Raharjo; Utomo, Muhammad Nur Yasir; Ramadhani, Ainun Zulkiah
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5566

Abstract

The SAPEDA application in Pangkep Regency currently lacks a feature that allows prospective students to determine the nearest school to their residence. This has led to an inefficient school selection process and unequal distribution of students. The aim of this research is to develop a zoning system for the SAPEDA application at Madrasah Aliyah in Pangkep Regency. The study employs the Haversine Formula in the zoning feature to calculate the distance between students' homes and nearby schools, offering an effective approach to improve the SAPEDA system. This will help prospective students choose the nearest school, reduce transportation costs, and promote equitable access to education. The research procedure includes a literature review, interviews, system design, system development, and testing. Results from a questionnaire based on the TAM (Technology Acceptance Model) show that the system is well-received and positively evaluated by respondents, with an average score of 90.62%, categorized as Excellent. This indicates, that the system has successfully provided benefits, ease of use, and has met users' expectations across various evaluated aspects, resulting in a high level of satisfaction
Improving Speed Performance of Select Random Query in SQL Database Utomo, Muhammad Nur Yasir; Bastian, Alvian; Winursito, Anggun
INTEK: Jurnal Penelitian Vol 7 No 1 (2020): In Press
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (868.105 KB) | DOI: 10.31963/intek.v7i1.1536

Abstract

Select random is a query in a SQL database that can retrieve data randomly from a table. Select random is often used to present data in various applications such as websites, data mining and others. Unfortunately, ordinary select random query is inefficient in terms of processing time if used in large table. This paper, tries to solve this problem by proposing two optimized methods of select random query, namely the Small Percentage Order by Rand (SPO-Rand) and the Filtered Column Order by Rand (FCO-Rand). The two proposed methods are then compared in terms of processing speed with a standard Select Random query or Normal Order by Rand (NO-Rand). The scenario of the experiment is to collect five random data from several data sets, ranging from 10.000 to 200.000 data. Based on the results of experiments that have been conducted, the proposed FCO-Rand method obtained the best process speed with 0.074 seconds at 200.000 data, followed by SPO-Rand with 0.265 seconds. These result are much faster than the standard random select method (NO-Rand) which takes up to 7,035 seconds for the same task.
PEMANFAATAN SOSIAL MEDIA UNTUK EDUKASI VAKSINASI COVID-19 PADA MAHASISWA DI KOTA JAYAPURA Violita, Fajrin; Utomo, Muhammad Nur Yasir
EJOIN : Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2024): EJOIN : Jurnal Pengabdian Masyarakat, Januari 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/ejoin.v2i1.2037

Abstract

Program vaksinasi Covid-19 bertujuan memberi kekebalan tubuh yang diharapkan dapat memutus mata rantai penyebaran penyakit tersebut. Penyebab masih terdapat penolakan vaksinasi Covid-19 adalah karena kurangnya pemahaman dan pengetahuan terkait vaksin tersebut. Edukasi kepada masyarakat menjadi kunci keberhasilan program Vaksinasi Covid-19. Peningkatan edukasi dapat dilakukan memanfaatkan media untuk mempermudah penyampaian informasi. Tujuan pengabdian masyarakat ini adalah untuk memanfaatkan media dalam upaya edukasi tentang vaksinasi Covid-19 pada mahasiswa di Kota Jayapura. Kegiatan berupa edukasi melalui media WhatsApp Group kepada 51 mahasiswa kesehatan Universitas Cenderawasih yang belum mengikuti vaksinasi Covid-19. Hasil kegiatan menyimpulkan bahwa edukasi online memberi dampak pada peningkatan pengetahuan mahasiswa tentang vaksinasi Covid-19.
WEB-BASED PUBLIC RELATIONS CHATBOT USING LARGE LANGUAGE MODELS AND THE RETRIEVAL-AUGMENTED GENERATION Nuzul1, Andi Muhammad; Utomo, Muhammad Nur Yasir; Indrabulan, Tantri
Journal of Informatics and Computer Engineering Research Vol. 2 No. 2 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i2.6014

Abstract

The Public Relations and Protocol Working Group (Pokja Humas) of Politeknik Negeri Ujung Pandang (PNUP) faces challenges in providing interactive and responsive information services. The official website functions only as a one-way medium, and the high volume of repeated questions causes delays in response time. This study developed a public relations chatbot based on Large Language Model (LLM) using the Retrieval-Augmented Generation (RAG) method to improve information services. The chatbot data were obtained through web scraping of the PNUP official website and internal PDF documents, which were processed through preprocessing, text splitting, and embedding using Hugging Face and stored in a FAISS vectorstore. The system was built using FastAPI as the backend and web-based interfaces for admin and user interactions. The results show that User Acceptance Test (UAT) involving 35 respondents achieved 91.93% acceptance (very good). The Retrieval-Augmented Generation Assessment (RAGAS) evaluation achieved average scores of 0.89 for Faithfulness, 0.91 for Answer Relevancy, 0.89 for Context Precision, and 0.89 for Context Recall, indicating that the chatbot produced relevant and contextually accurate answers.
Co-Authors Abdul Rahman Anggun Winursito BASTIAN, ALVIAN Fansab, Nur Ayu Farahgta Indrabulan, Tantri Mochammad Imron Awalludin Muh. Fajri Raharjo Nuzul1, Andi Muhammad Ramadhani, Ainun Zulkiah Rini Nur, Rini Syam, Muh. Fadhil TUNGADI, EDDY Violita, Fajrin Yusri, Iin Karmila