Research Publications

Authors

Indra, Dolly; Hayati, Lilis Nur; Asis, Muhammad Arfah, Universitas Muslim Indonesia

Abstract

Al-Fadhilah Store is one of the fruit stores located in Makassar. The increasing demand for fruits among the community has led to customers becoming more discerning in product selection and having diverse needs. It is important for Al-Fadhilah Store to enhance sales by considering customer satisfaction levels. This research adopts a quantitative method involving 70 customer respondents. The hypothesis test results indicate that the Sales Strategy variable (X) has a positive and significant influence on Customer Satisfaction (Y) at Al-Fadhilah Store in Makassar. In this study we used several tests, namely the Validity test, Reliability test, Normality Test, Multicollinearity Test, Heteroscedasticity Test, Simple Linear Regression Test, Coefficient of Determination Test, T-test and F-test. Based on several tests conducted, it has been found that the Sales Strategy (X) variable has a positive and significant impact on Customer Satisfaction (Y) at Al-Fadhilah Store in Makassar. This relationship indicates that variable X has a good relationship with Y, from the results of the coefficient of determination or R square which indicates that 81.1% of Customer Satisfaction (Y) is influenced by the variable Sales Strategy (X) The rest is equal to 18.9 % influenced by other factors

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Authors

Rahman, Harpiana; Zulkhair Burhan; Asis, Muhammad Arfah, Universitas Muslim Indonesia

Abstract

The health promotion of CHSE (Cleanliness, Health, Safety, and Environmental Sustainability) is skills improvement activities for Kelompok Sadar Wisata (Pokdarwis) in developing health communication media about health risk control risks in tourist destinations. Health promotion activities located in Balleangin Tourism Village, Balocci District, Pangkep Regency, South Sulawesi Province. As a group of tourism actors engaged in the management of the Ballaengin Tourism Village, Pokdarwis needs to know the urgency of implementing CHSE and how to implement CHSE in tourist villages. Skills improvement for Pokdarwis is carried out by empowering Pokdarwis in designing CHSE communication media. The empowerment strategy was carried out by involving Pokdarwis in designing health promotion media at the need identification stage and the media creation stage. Evaluation of the community service program is carried out through quantitative measurements by comparing the promotional content of the destination before and after the community service. The results of the community service show that CHSE's health promotion activities improved Pokdarwis' skills in developing health information on social media

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Authors

Syahar, A. Ulfah Tenripada; Faradibah, Amaliah, Universitas Muslim Indonesia

Abstract

Laboratorium merupakan tempat di mana berbagai kegiatan akademik, seperti praktikum dan riset akan dilakukan. Laboratorium harus kita Kelola dengan baik karena sangat penting dan berpengaruh untuk keberhasilan aktivitas akademik pada program studi dan fakultas. Tujuan dari penelitian ini adalah bagaimana kita melakukan analisis dan membuat sebuah perancangabn sistem informasi manajemen laboratorium terpadu pada program studi Teknik Informatika Universitas Muslim Indonesia, dengan focus pada kegiatan praktikum. Penelitian dilaukan dalam beberapa tahap dengan menggunakan metode pengembangan berbasi obyek seperti pengumpulan data, analisis kebutuhan, dan perancangan sistem. Sistem ini dirancang dan dibuat dengan menggunakan metode waterfall dan hasil dari penelitian ini akan digubakan sebagai refrensi untuk dilakukan penegmbengan sistem selanjutnya

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Authors

Widyawati, Dewi; Tenripada, A. Ulfah; Jabir, Sitti Rahmah; Faradibah, Amaliah, Universitas Muslim Indonesia

Abstract

Pengelolaan buku administrasi desa memegang peranan penting bagi jalannya suatu organisasi, yaitu sebagai sumber informasi dan sebagai pusat ingatan organisasi sebagai dasar pengambilan keputusan. Masalah yang muncul pada Lembang Marinding Kecamatan Mengkendek Kab. Tana Toraja yaitu masih mengelola data administasi desa secara manual, sehingga muncul masalah jika berkas administrasi dibutuhkan tidak ditemukan atau hilang. Selain itu belum tersedianya fasilitas atau media yang mengatur data administrasi secara digital, sehingga pelayanan kepada masyarakat belum maksimal. Staf lembang juga belum mahir dalam menerapkan teknologi informasi dalam manajemen administrasi. Hasil yang diperoleh dari kegiatan pengabdian yaitu dapat meningkatkan pemahaman dan kemampuan serta keterampilan perangkat desa Lembang Marinding dalam mengelola administrasi persuratan secara digital sehingga kegiatan administrasi menjadi lebih baik. Selain itu pelayanan kepada masyarakat lebih baik sehingga membuat kinerja staf Lembang Marinding juga meningkat. Sebagai penunjang dalam kegiatan tersebut, staf yang mengikuti kegiatan pelatihan diberikan modul sebagai panduan penggunaan sistem. Pada kegiatan ini menghasilkan sebuah sistem informasi berupa buku administrasi berbasis web yang akan dikelola langsung oleh staf lembang. Luaran akhir berupa publikasi di media massa dan artikel yang akan dipublikasikan pada Jurnal Ilkomas

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Authors

As'ad, Ihwana; Fattah, Farniwati; Djamereng, Asdar; Tenripada, Andi Ulfah, Universitas Muslim Indonesia

Abstract

Lembang Marinding is a village in Mengkedek Subdistrict, Tana Toraja Regency with high potential of micro, small, and medium enterprises (MSMEs). The problem that emerges in MSMEs in Lembang Marinding is that product sales are still carried out conventionally. MSME actors in Lembang Marinding are not yet proficient in applying information technology (IT) in marketing. The community service team offers a solution by providing socialization and extension on the benefits of sell their products through digital marketing. The community service activities were carried out from October to November 2022. The target participants of these activities were the MSME actors in Lembang Marinding. The method used in overcoming problems in Lembang Marinding is mapped the MSME products in the area and provided technical training regarding how to partner with the marketplaces. One of the marketplaces chosen as partner in this training is Shopee by offering fairly easy access for beginner users to use the marketplace. The results show that the community service activities carried out by the team have successfully provided understanding, abilities, and skills to MSME actors in Lembang Marinding by introduce them to the marketplaces so that their products can be recognized by buyers outside of Tana Toraja and reach wider range of buyers. In addition, MSME actors in Lembang Marinding who participated in the training and socialization activities received modules as a guide to partner with the marketplace. The results of this activities show that MSME actors can apply technology in marketing their products, starting from how to join the marketplace to the benefits obtained.

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Authors

Tenripada, A. Ulfah, Universitas Muslim Indonesia

Abstract

Memberikan layanan jaringan internet yang berkualitas dan kepuasaan pengguna menjadi kewajiban bagi suatu universitas. Dalam memenuhi hal tersebut yang paling utama diperhatikan adalah kapasitas bandwidth yang digunakan.Hal tersebut yang digunakan sebagai parameter dari kualitas jaringan pada universitas, dari sisi lain manajemen bandwidth juga berpengaruh dalam mewujudkan jaringan internet yang berkualitas Optimasi dengan manajemen bandwidth ini menggunakan metode fuzzy sugeno untuk monitoring pemakaian bandwidth dan menentukan prioritas pemakaian bandwidth.dari hasil rancangan manajemen bandwidth diharapkan akan memudahkan untuk mengetahui jumlah pengguna yang aktif, pengaturan dan menyediakan layanan koneksi internet. Hasil pengujian didapatkan nilai presentasi Quality of Service pada jaringan dengan presentasi sebesar 93,75% dengan indeks sangat baik. Dengan penerapan metode fuzzy sugeno ini membantu mengoptimlkan performa pengunaan bandwidth jaringan dan mengefektifkan kualitas pelayanan pada universitas

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Authors

Widyawati, Dewi; Faradibah, Amaliah; Belluano, Poetri Lestari Lokapitaasari, Universitas Muslim Indonesia

Abstract

This research aims to analyze the performance of three classification models, namely Decision Tree Classifier, Support Vector Machine, and Naive Bayes Classifier, in predicting lung cancer using the "Lung Cancer Prediction" dataset. The performance evaluation metrics used include accuracy, precision weighted, recall weighted, and F1 weighted. As a preliminary step, exploratory data analysis (EDA) and dataset preprocessing, including feature selection, data cleaning, and data transformation, were conducted. The test data results showed that the Decision Tree Classifier and Naive Bayes Classifier had similar performances with high accuracy, precision, recall, and F1 values. Meanwhile, the Support Vector Machine also exhibited competitive performance, although its precision weighted value was slightly lower. Additionally, an outlier analysis was conducted using box plots, revealing that the Decision Tree Classifier had 2 outlier values, while the Support Vector Machine had 4 outlier values, and Naive Bayes had no outlier values. In conclusion, all three classification models demonstrated good potential in lung cancer prediction. However, selecting the best model requires consideration of relevant evaluation metrics for the application and accommodating the limitations of each model. Further evaluation and in-depth analysis are needed to ensure the reliability of the models in predicting lung cancer cases more accurately and consistently

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Authors

Harlinda; Hayati, Lilis Nur, Universitas Muslim Indonesia

Abstract

Bayi umumnya memiliki kulit yang sensitif sehingga rentan mengalami iritasi dan masalah kulit lainnya, termasuk bintik merah. Munculnya bintik merah pada kulit bayi dapat disebabkan oleh berbagai hal, mulai dari suhu panas, reaksi alergi, paparan bahan kimia, hingga infeksi virus atau bakteri. Penyakit pada kulit pada bayi dianggap biasa oleh banyak orang tua, sehingga bayi hanya diberi obat tanpa resep dokter yang dapat berakibat fatal. Meski ada dokter spesialis, namun jam kerjanya pendek dan antrian yang memakan waktu cukup lama. Perangkat Desa Puskesmas dan Orang tua membutuhkan ahli yang dapat mendiagnosis penyakit kulit pada tahap awal maka diperlukan sistem yang memudahkan dalam penangan dini pada bayi bagi Perangkat Desa Puskesmas dan orang tua. Perangkat Desa Puskesmas bertugas membangun Kesehatan masyarakatnya dan membina masyarakat dalam meningkatkan kemampuan untuk hidup sehat dan memberikan pelayanan Kesehatan secara menyeluruh sehingga dengan adanya PkM Lektor Fakultas Ilmu Komputer UMI dalam Implementasi Sistem Diagnosa Penyakit Kulit Bintik Merah Pada Bayi. Hasil Kegiatan yang dapat mempermudah Perangkat Desa Puskesmas dan Orang Tua dalam dalam menangani gangguan kulit yang diderita oleh bayi mereka sejak dini, mengetahui jenis penyakit, gejala dan tindakan penanganannya

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Authors

Syafie, Lukman; Satra, Ramdan; Azis, Huzain, Universitas Muslim Indonesia

Abstract

Hybrid learning model is the combination of onsite learning and online learning model. Hybrid learning model is an interesting issue in order to balance the drastically change of learning model to the learning model of ICT-based. This study was analyze the effectiveness of hybrid learning model on the student. The test were carried out before and after the learning model applied. The data was picked up from the questionnaire. The sample consisted of 40 students. By using statistical analysis, we obtain that the average difference between the pre-test and post-test scores was -29.03175. In the t-test, Ho: pre-test=post-test gives a T value=-33,890 with 39 degrees of freedom. The p-value for the two-tailed test is 0.000 less than=0.05. It was proved that the average pre-test and post-test scores are significantly different. It means the application of the hybrid model learning is effective. The implication of research is to encourage the use of e-learning technology to improve academic learning outcomes.

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Authors

Hayati, Lilis Nur; Indra, Dolly; Fahmi, Universitas Muslim Indonesia; Handayani, Anik Nur; Irianto, Wahyu Sakti Gunawan, Universitas Negeri Malang; Asmara, Rosa Andrie, Politeknik Negeri Malang

Abstract

Indonesian Sign Language (BISINDO) is one of the sign languages used in Indonesia. The process of classifying BISINDO can be done by utilizing advances in computer technology such as deep learning. The use of the BISINDO letter classification system with the application of the MobileNet V2 FPNLite SSD model using the TensorFlow object detection API. The purpose of this study is to classify BISINDO letters A-Z and measure the accuracy, precision, recall, and cross-validation performance of the model. The dataset used was 4054 images with a size of consisting of 26 letter classes, which were taken by researchers by applying several research scenarios and limitations. The steps carried out are: dividing the ratio of the simulation dataset 80:20, and applying cross-validation (k-fold = 5). In this study, a real time testing using 2 scenarios was conducted, namely testing with bright light conditions of 500 lux and dim light of 50 lux with an average processing time of 30 frames per second (fps). With a simulation data set ratio of 80:20, 5 iterations were performed, the first iteration yielded a precision result of 0.758 and a recall result of 0.790, and the second iteration yielded a precision result of 0.635 and a recall result of 0.77, then obtained an accuracy score of 0.712, the third iteration provides a recall score of 0.746, the fourth iteration obtains a precision score of 0.713 and a recall score of 0.751, the fifth iteration gives a precision score of 0.742 for a fit score case and the recall score is 0.773. So, the overall average precision score is 0.712 and the overall average recall score is 0.747, indicating that the model built performs very well

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Authors

Satra, Ramdan; Syafie, Lukman, Universitas Muslim Indonesia

Abstract

Nowadays, Information technology is rapidly developing including computer network technology. One technology that plays an important role in the field of computer networks is server virtualization. Server virtualization technology will be highly supportive of IT development in an organization considering the potential for a processor with more than one core in a server that can be utilized to run applications and services simultaneously using virtualization techniques on a computer server. The application of server virtualization technology will increase efficiency and optimize the utilization of more than one core processor. The implementation of server virtualization will also save on electricity costs because it uses only one or fewer servers. This study performs a comparison analysis of server virtualization using Kernel-based Virtual Machine (KVM) and Linux Container (LXC) on PROXMOX. Based on the results obtained, it can be concluded that the performance of the LXC-based virtual servers is superior to KVM either in terms of running server time, time duration of virtual servers creation, or the usage of hardware resources. The implementation of LXC-based virtual servers is highly recommended to be implemented in the local network of an organization.

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Authors

Indra, Dolly; Herman; Budi, Firman Shantya, Universitas Muslim Indonesia

Abstract

The development of computer technology today is very helpful for humans in completing their work in various fields. One application of computer technology i.e., in the field of computer vision which has a very important role for object recognition. In this study, we designed a computer vision-based automatic vehicle counting system. The system that we created uses the MobileNetV2 Single Shot Multibox Detector (SSD) which is placed on the Raspberry Pi 4 to carry out the process of classifying cars and motorcycles and the raspberry pi 4 also functions as a system controller. This automatic vehicle counter system has been integrated between Raspberry Pi 4 and a mobile application on a smartphone where the smartphone functions to display information such as day, date, month, year and together with the number of cars and motorcycles. We tested this automatic vehicle counting system on steam services (car and motorcycle washing) for 3 days where 10 vehicles were collected every day. The test results show that the system is capable of detecting cars and motorcyles with an average accuracy rate of 46.6%

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Authors

As'ad, Ihwana, Universitas Muslim Indonesia

Abstract

This research paper presents a comprehensive analysis of the Gaussian Naive Bayes (GNB) classifier's application in predicting health conditions from blood samples, underpinned by a handcrafted dataset representative of typical physiological ranges. Through a meticulous 5-fold cross-validation approach, the study assesses the GNB model's performance in terms of accuracy, precision, recall, and F1-score, revealing not only high efficacy but also consistent improvement in predictive capability across successive folds. A detailed confusion matrix provides further insights into the model's classification proficiency. The results affirmatively address the research hypotheses, indicating the GNB classifier's reliability and effectiveness as a diagnostic tool. With the increasing need for rapid and accurate medical diagnostics, the study's findings underscore the potential of even simple machine learning models to augment traditional blood test analyses, thereby offering significant contributions to the field of biomedical informatics. The research lays the groundwork for future explorations into the integration of machine learning in clinical settings, advocating for the verification of these promising results with real-world clinical data and the comparative analysis of various machine learning models. The potential for automated, precise diagnostic processes paves the way for enhanced patient care and resource optimization in healthcare.

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Authors

Purnawansyah; Indra, Dolly; Hayati, Lilis Nur, Universitas Muslim Indonesia

Abstract

Tujuan program pengabdian yang kami lakukan yaitu memberikan penyuluhan, dan simulasi tentang pemasaran produk, memberikan pelatihan bagi mitra desa Lonjoboko tentang kewirausahaan dalam memasarkan produk berbasis online dan mendesain kemasan yang menarik dan praktis. Metode dalam pelaksanaaan kegiatan ini adalah memfasilitasi dengan penyuluhan, simulasi dan pelatihan bagi para UKM dengan mewujudkan masyarakat sejahtera dan pandai dalam memasarkan produk dengan layanan sistem informasi berbasis online di desa Lonjoboko Kabupaten Gowa dalam bentuk pelatihan. Luarannya Mitra mendapatkan modul pelatihan manajemen kewirausahaan berbasis online untuk memasarkan produknya, mitra mampu mandiri dalam mengimplementasikan dan terampil dalam pemasaran produk, Software Aplikasi Web Sistem Informasi pemasaran produk

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Authors

As'ad, Ihwana, Universitas Muslim Indonesia

Abstract

The photography sector is one of those with a promising future. Unsurprisingly, a lot of photography companies fail. Applying the Pareto Principle is one technique to increase the productivity and profitability of a photographic business. Understanding how, in the field of photography, 20% of labor yields 80% of the results requires an understanding of the Pareto Principle, sometimes referred to as the 80/20 rule. The study's goal is to look at how the Pareto principle is applied in the world of photography. Five seasoned photographers from the Kuningan region participated in extensive semi-structured interviews that were carried out utilizing qualitative approaches and the NVIVO 12 methodology. A six-month timeframe, from January to June 2023, was used for the study. The results showed that the Pareto principle is essential for maximizing choices and concentrating on the results of the photographer's work. With the help of this idea, photographers may increase productivity and result in quality, product selling points, seller identification, service contentment, and client loyalty. client devotion. Principle By finding the 20% of significant factors that have an influence on 80% of the outcomes, the Pareto principle is used. developing marketing strategies, tests, target audiences, prioritization lists, data analysis, types of images, and customer loyalty have an influence on 80% of the outcomes. market, list of priorities, data analysis, sorts of photos, and a focus on enhancing the outcomes of efforts and resources. Respondents reported difficulties in recognizing influential factors, the necessity to adapt techniques due to frequent changes, and photographers' lack of dedication and consistency in using the Pareto principle as a guide

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Authors

Purnawansyah; Ramdaniah, Universitas Muslim Indonesia

Abstract

Kabupaten Enrekang di Sulawesi Selatan memiliki potensi besar untuk budidaya bawang merah, yang menjadi komoditas utama di Kecamatan Anggeraja. Namun, beberapa petani menghadapi kesulitan dalam menemukan lokasi penanaman yang optimal. Oleh karena itu, penelitian ini mengusulkan penggunaan aplikasi penentuan lokasi penanaman bawang merah sebagai solusi. Tujuannya adalah mempermudah petani, terutama di Kecamatan Anggeraja, Kabupaten Enrekang, dalam memilih lahan yang cocok untuk budidaya bawang merah. Dalam penelitian ini, metode Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) digunakan untuk mengevaluasi 15 alternatif lahan pada aplikasi tersebut. Sistem ini membantu pengguna, khususnya petani, dalam mencari dan memilih lahan yang sesuai dengan kriteria yang ditetapkan, sehingga mendapatkan rekomendasi lahan yang optimal. Hasil penelitian menunjukkan kecocokan metode TOPSIS dalam sistem, dengan tingkat akurasi presentasi sebesar 85% dari 15 alternatif yang diuji

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