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Pelatihan Pembuatan Dan Penggunan Media Promosi Digital Pada PAP’A Catering Budiprasetyo, Gunawan; Wakhidah, Rokhimatul; Shoumi, Milyun Ni'ma; Syulistyo, Arie Rachmad; Ratsanjani, Muhammad Hasyim
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 5, No 1 (2021)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/jd.v5i1.632

Abstract

Popularitas jejaring sosial online memberikan dampak yang luar biasa di berbagai bidang, salah satunya berdampak pada cara perusahaan melakukan pemasaran. Perusahaan kecil menengah pun secara massif menggunakan media online seperti website, e-commerce dan media sosial sebagai media promosi mereka. PAP’A (Panti Asuhan Putri ‘Aisyiyah) Catering merupakan catering yang memiliki pelanggan yang cukup banyak dan dari berbagai kalangan di kota Malang. Namun sayangnya, PAP’A Catering belum memiliki website dan akun media sosial sebagai media promosi. Saat ini promosi dilakukan dengan menyebarkan brosur dan dari mulut ke mulut. Maka dari itu diperlukan akun media sosial, salah satunya adalah Instagram untuk Bisnis dan Facebook, implementasi website dan akun media sosial yang telah dikembangkan, dan pendampingan kepada mitra selama proses pengabdian terkait pengisian konten, respon di akun media sosial, dan perkembangan web secara remote. Website dan media sosial akan digunakan untuk menampilkan produk-produk yang dibuat oleh PAP’A Catering. Produk website merupakan hasil pembuatan akun Gmail Business yang berisi profil bisnis.
PEMETAAN DENGAN QGIS DAN PERHITUNGAN KORELASI FAKTOR YANG MEMPENGARUHI HASIL PRODUKSI PERTANIAN DENGAN PEARSON CORRELATION Arie Rachmad Syulistyo; Milyun Ni’ma Shoumi
Informasi Interaktif Vol 6, No 1 (2021): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

 Food affects the nation stability. The Indonesian government strive continually to maintain food security in the form of policies and research in the agricultural sector. In line with the government's vision and mission, this research was conducted to map and study the relationship between soil conditions, irrigation areas, and harvested areas with corn, soybean and rice yields that can be used to support policy making. Based on the experiment results obtained several factors that influence crop yields, namely soil conditions, weather, and area of harvest. Mapping was done using Quantum GIS (QGIS) and correlation calculations performed using pearson correlation. Based on the analysis result of soil types, temperature and soil area affect crop yields with the highest value of 0.99. The correlations analyzed were the correlation between yield and rice temperature and the correlation between rice yield and cultivated area.Keywords: QGis, food security,pearson correlation.
ANALISIS RESIKO KANKER PAYUDARA (BREAST CANCER) MENGGUNAKAN FUZZY INFERENCE SYSTEM (FIS) MODEL MAMDANI Milyun Ni’ma Shoumi; Arie Rachmad Syulistyo
Informasi Interaktif Vol 6, No 1 (2021): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

Breast cancer is a type of malignant cancer, in which cells form in the breast tissue, and is the most common type of cancer - apart from skin cancer - and is ranked second (after lung cancer) the type of cancer that causes death. Every year thousands of people die from cancer due to limited medical resources and the inability of society to use existing information sources effectively. The most efficient way and one of the means of protection against breast cancer is early diagnosis. In this study, a system to analyze the risk of breast cancer was developed using the Mamdani model of Fuzzy Inference System (FIS). By using 6 input variables, the developed Mamdani FIS is able to produce an accuracy of 85% with 20 data used.  Keywords: cancer, breast cancer, fuzzy inference system,,fuzzy logic, Mamdani model.
Pengembangan Aplikasi Dan Pelatihan Sistem Informasi TPQ Madinah Ma’arif 10 An-Nur Kota Malang Rokhimatul Wakhidah; Luqman Affandi; Milyun Ni'ma Shoumi; Annisa Puspa Kirana; Dhebys Suryani Hormansyah; Sofyan Noor Arief
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 6 No 1 (2022)
Publisher : Politeknik Negeri Madiun

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Abstract

Advances in information technology have a major impact on the use of technology in various fields, one of which is education. Information technology is used as a means to simplify the teaching and learning process to the management of educational institutions. Almost all educational institutions have utilized information technology, one of which is the application of an integrated information system to handle administrative affairs of educational institutions. TPQ Madinah Ma'arif 10 An-Nur is one of the TPQ that has implemented advances in information technology. This is reflected in the use of value input information systems and the printing of student report cards. Over time, this feature has not met the needs of the management in carrying out TPQ operational activities. TPQ institutions do not yet have a system that handles the presence of students. And there is no system that handles the recording of payments
Vacant Car Parks Detection Using Digital Image Processing Methods Milyun Ni'ma Shoumi; Ridwan Rismanto; Arie Rachmad Syulistyo
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 13 No 1 (2022): Vol. 13, No. 1 April 2022
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2022.v13.i01.p02

Abstract

Long car queues are often encountered in some public facilities because visitors should be around to find an empty parking space. One way to minimize this case is to use a parking information system that shows the location of the parking lot that is empty or occupied with their amounts. This research presented two digital image processing methods for detecting empty space occupied in the image of the car parking area. There are vehicle detection and edge detection method. Vehicle detection is the method used to detect objects in the image by subtracting the parking area image, an empty parking lot, from the image containing the car. In contrast, the edge detection method detects the object's edge. The results from these two methods were then compared using the AND function to obtain the condition of an empty or occupied box for each box in the parking lot. Threshold values affect the determination of the parking lot. In this research, the data used are images of open car parks in the Malang Town Square (Matos) shopping center, Mall Olympic Garden (MOG), and data sourced from journals with similar topics [16]. The test results show that the best detection results are obtained in detecting occupied parking spaces in the parking lot in Malang Town Square (Matos), with a threshold of 10 and an accuracy of 99.4% with a threshold of 10.
Sistem Absensi Karyawan Secara Realtime Berbasis Fingerprint Menggunakan Metode Rapid Application Development Fullchis Nurtjahjani; Joni Dwi Pribadi; Kadek Suarjuna Batubulan; Milyun Ni’ma Shoumi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp1-9

Abstract

The role of human resources (employees) in the company is very important because it functions as the main driver of all activities of the company in achieving its goals. One of the things that can affect employee performance is the number of wages given by the company. The number of wages given by the company to employees can be determined, one of which is through the presence of employees in one month. Therefore, employee attendance data is something that is very important for a company. However, some companies still recap attendance, calculate overtime hours, and make employee attendance reports manually. This work is certainly less effective because it requires a lot of time and effort, where the results are not necessarily accurate, so there is often unrest, dissatisfaction and injustice in the provision of employee wages. Therefore, we need a system that can recapitulate employee attendance hours automatically. This study aims to build an attendance system and calculate employee overtime hours in real time based on employee attendance through fingerprints, as well as conduct trials and evaluations of the attendance system created. The process of managing employee attendance data can be done through a website-based information system by implementing the Rapid Application Development (RAD) method. The attendance information system has been developed to be implemented at PT. Sriwijaya Delapan Tujuh Malang, and based on the results of testing through a questionnaire, the system is easy to use and can help the process of providing employee wages through the results of a recap of attendance and overtime every day.
Plasma Cell Detection in Multiple Myeloma Cases Using Mask Region Based Convolutional Neural Network Method (Mask R-CNN) Milyun Ni'ma Shoumi; Radian Malek Rayrendra; Dwi Puspitasari; Pramana Yoga Saputra
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 1 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i1.53119

Abstract

Multiple myeloma cancer is the third major of hematologic malignancy after lymphoma and leukemia, which is about 1% of 13% of hematologic malignancies. Unlike other cancers, myeloma does not form a tumor or lump, but rather causes an accumulation of abnormal plasma cells in the bone marrow which is more than 10% and paraprotein in the body. One of the first steps in diagnosing Multiple Myeloma cancer is by detecting plasma cells in a bone marrow sample taken from the patient's body. Blood samples are taken on several preparations, and the number of plasma cells will be counted from the entire sample. If the number of plasma cells is more than 30% of all cells that have nuclei, then the patient is diagnosed with Multiple Myeloma cancer. The process of detecting plasma cells and calculating the entire sample takes quite a long time and can lead to misdiagnosis due to inaccuracy in the calculation process and the fatigue factor of the medical personnel who check it. In this study, a model was developed to detect Plasma Cells in Multiple Myeloma Cases Using the Mask Region Based Convolutional Neural Network (Mask R-CNN) method, which is expected to speed up the diagnosis process. The use of the Mask Region Based Convolutional Neural Network (Mask R-CNN) method is implemented using the SegPC-2021-dataset for the model training process, and data from the Kepanjen general hospital for the testing process. Using this dataset, the mAp value is 75.94%, the mean precision is 73.93%, and the mean recall is 53.9%.
MEANINGFUL FEEDBACK DI APLIKASI QB-REC UNTUK MEMPERTAJAM PEMAHAMAN BAHASA INGGRIS Banni Satria Andoko; Milyun Ni'ma Shoumi; Rifqie Muhammad
Jurnal Teknik Ilmu dan Aplikasi Vol. 4 No. 1 (2023): Jurnal Teknik Ilmu dan Aplikasi
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtia.v4i1.2792

Abstract

Bahasa Inggris merupakan bahasa yang wajib dikembangkan dalam era globalisasi, karena dalam penerapannya bahasa Inggris dapat dijumpai dalam berbagai hal seperti pendidikan, teknologi, komunikasi, bisnis, dan lainnya. Sehingga dalam kemampuan membaca Bahasa Inggris, perlu diajarkan dan ditingkatkan kembali hingga generasi selanjutnya. QB-Rec merupakan aplikasi yang menggunakan konsep Meaningful Feedback untuk mempertajam pemahaman Bahasa Inggris, serta menggunakan Question Building yang mampu membuat pertanyaan dari bahan bacaan. Dalam aplikasinya, terdiri dari Dosen dan Mahasiswa. Dosen yang akan berperan dalam pembuatan soal beserta feedback dan mahasiswa sebagai pemberi jawaban pada soal yang diberikan oleh dosen. Eksperimen ini melibatkan dua belas mahasiswa yang berada di kampus Polinema. Dalam pengujiannya, mahasiswa melakukan pembacaan teks selama 5 menit, kemudian dilanjutkan dengan melakukan pre-test sebanyak 10 pertanyaan selama 10 menit, yang akan dijawab setelah mahasiswa melakukan kegiatan membaca teks. Lalu, mahasiswa akan menggunakan aplikasi QB-Rec selama 15 menit, yang telah disediakan soal berupa paragraf dan pilihan jawaban yang berupa pertanyaan. Setelah itu, mahasiswa akan melakukan post-test selama 10 menit untuk menguji apakah mahasiswa tersebut mengalami peningkatan pemahaman bahasa Inggris terhadap aplikasi yang digunakan. Sehingga, hasil yang diperoleh berupa peningkatan pada nilai post-test dalam pengujiannya. Dengan konsep Meaningful Feedback yang diterapkan dalam aplikasi, dapat disimpulkan bahwa konsep tersebut dapat meningkatkan kemampuan membaca bahasa Inggris bagi mahasiswa, sehingga dapat diketahui hasil penelitian pada penerapan konsep yang digunakan dalam aplikasi tersebut.