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Showing 121 articles found for "Women"

PREDICTING OF BREAST CANCER RISK USING MACHINE LEARNING WITH FEATURE SELECTION THROUGH XGBOOST

Al Azhar, Cahya Mutiara, Pujiono, Pujiono
Abstract: Abstract: Breast cancer is the leading cause of death for women globally, exacerbated by late detection. This study proposes a breast cancer risk prediction framework using XGBoost with SelectKBest feature selection. It… aims to improve the accuracy and efficiency of early detection through exploratory data analysis, coding, SMOTE to address class imbalance, and feature selection (k=29). As a result, the XGBoost model achieved 98.1% accuracy, 98.1% recall, 98.1% f1-score, and 98.2% precision on test data, highlighting the importance of feature selection. These results are promising in patient prioritization (triage) for further examination, helping medical personnel identify high-risk patients, thus improving resource allocation efficiency. These findings validate SelectKBest and pave the way for the development of a machine learning-based clinical decision support system for breast cancer early detection workflows. This research contributes significantly to the application of machine learning to support early breast cancer detection.             Keywords: breast cancer; feature selection; machine learning; risk prediction; XGBOOST.     Abstrak: Kanker payudara menjadi penyebab utama kematian wanita global, diperparah deteksi yang terlambat. Penelitian ini mengusulkan kerangka prediksi risiko kanker payudara menggunakan XGBoost dengan seleksi fitur SelectKBest. Tujuannya meningkatkan akurasi dan efisiensi deteksi dini melalui analisis data eksploratif, pengkodean, SMOTE untuk mengatasi ketidakseimbangan kelas, dan seleksi fitur (k=29). Hasilnya, model XGBoost mencapai akurasi 98.1%, recall 98.1%, f1-score 98.1%, dan presisi 98.2% pada data uji, menyoroti pentingnya seleksi fitur. Hasil ini menjanjikan dalam penentuan prioritas pasien (triage) untuk pemeriksaan lebih lanjut, membantu tenaga medis mengidentifikasi pasien berisiko tinggi, sehingga meningkatkan efisiensi alokasi sumber daya. Temuan ini memvalidasi SelectKBest dan membuka jalan bagi pengembangan sistem pendukung keputusan klinis berbasis machine learning untuk alur kerja deteksi dini kanker payudara. Penelitian ini berkontribusi signifikan dalam penerapan machine learning untuk mendukung deteksi dini kanker payudara.   Kata kunci: kanker payudara; pembelajaran mesin; prediksi risiko ; seleksi fitur; XGBOOST.  

COMPARATIVE ANALYSIS OF K-MEANS, X-MEANS AND K-MEDOIDS IN CLASSIFYING MARRIAGE CHOICED ADMIST QUARTER-LIFE CRISIS

Ariza, Disya Nurul, Ningsih, Rahayu, Muryani, Sri, Ferliyanti, Herlina, Wahidin, Ahmad Jurnaidi
Abstract: Abstract: Bekasi Regency, being one of the key cities in Indonesia, offers a suitable setting to study the intricacies of marriage decision-making during a quarter-life crisis. This study focuses on the application of clustering… ustering algorithms to categorize individuals based on their marriage choices. Data was collected from a questionnaire completed by 110 respondents from Bekasi Regency, specifically individuals aged 18 to 30 who are single, including 80 women and 30 men. Data analysis was conducted using the RapidMiner software to evaluate the effectiveness of three clustering algorithms K-Means, X-Means, and K-Medoids in categorizing marriage decision patterns among young people experiencing a Quarter Life Crisis in Bekasi Regency. Results indicate that each algorithm has its own strengths and limitations in handling Quarter Life Crisis data.The results of the analysis show that the K-medoids algorithm provides the best clustering results with the lowest DBI value of 0.195, followed by the X-Means algorithm with a value of 0.199 and K-Means with a value of 0.207. These results can help understand the pattern of marriage decisions in the Quarter Life Crisis phase and help provide insights for policymakers in Bekasi Regency to make more effective intervention programs.             Keywords: K-Means; K-Medoids; X-Means     Abstrak: Sebagai salah satu kota besar di Indonesia, Kabupaten Bekasi memberikan konteks yang tepat untuk mempelajari kompleksitas pengambilan keputusan pernikahan di tengah krisis seperempat usia. Penelitian ini berfokus pada pemanfaatan algoritma clustering untuk mengelompokkan individu berdasarkan pilihan pernikahan mereka. Data diambil dari kuesioner yang diisi oleh 110 responden di Kabupaten Bekasi, yang terdiri dari individu lajang berusia 18 hingga 30 tahun, yaitu 80 perempuan dan 30 laki-laki. Analisis data dilakukan dengan perangkat lunak RapidMiner untuk mengevaluasi efektivitas tiga algoritma pengelompokan—K-Means, X-Means, dan K-Medoids—dalam mengelompokkan pola keputusan pernikahan di kalangan pemuda yang menghadapi Quarter Life Crisis di Kabupaten Bekasi. Hasilnya menunjukkan bahwa setiap algoritma memiliki keunggulan dan kelemahannya masing-masing dalam memproses data Quarter Life Crisis. Hasil analisis menunjukkan bahwa algoritma K-medoids memberikan hasil clustering terbaik dengan nilai DBI terendah yaitu 0.195, diikuti oleh algoritma X-Means dengan nilai 0.199 dan K-Means dengan nilai 0.207. Hasil ini dapat membantu memahami pola keputusan menikah pada fase Quarter Life Crisis dan membantu memberikan wawasan bagi pembuat kebijakan di Kabupaten Bekasi membuat program intervensi yang lebih efektif.     Kata kunci: K-Means; K-Medoids; X-Means  

CLOTHING SALES STRATEGY AT ANEKATEX SHOP WITH E-CRM CONCEPT

Pratiwi, Winda, Amin, Muhammad, Putri, Pristiyanilicia
Abstract: Toko Anekatex is a business engaged in fashion for women, men, children, as well as school uniforms, pajamas, and other robes located on Jalan Dr. Sutomo No. 41 Kisaran city. In maintaining more advanced competitiveness,… the company must continue to develop technology, another thing that needs to be considered in making the company more advanced is the relationship with customers which is also an important thing to always maintain. In an effort to manage good relationships with potential customers and customers, companies use Customer Relationship Management (CRM). CRM is a service to customers that is personal, with the aim of providing consistent experience, so that it can provide customer satisfaction, and also get good relationships in the long term. By implementing a good E-CRM, companies will more easily interact with potential customers and customers and provide information according to their needs Customers can also obtain the information they need more quickly and easily. By implementing Customer Relationship Management (CRM) carried out at Anekatex Stores as an effort to improve customer strategies are well proven by the series of processes above and with this application to increase buybacks from total sales every month.

USING OF SINGLE EXPONENTIAL SMOOTHING (SES) METHOD FOR SALES OF GAMIS AT RATNA JAYA SHOP

Azmira, Tiara, Nasution, Akmal, Sumantri, Sumantri
Abstract: Abstract: Toko Ratna Jaya is a business in the fashion sector that sells women's robes and is experiencing instability in its sales because Toko Ratna Jaya is unable to predict their sales for the following month. Ratna… Jaya Shop currently carries out forecasting only by relying on the owner's predictions. However, this approach is less efficient and can lead to losses or increased stock costs if forecasting is inaccurate. To increase the accuracy of the estimates, the use of the Single Exponential Smoothing Method is proposed. This method smooths past values with exponential weights, placing greater emphasis on recent data. Use of data from the last 1 (one) year as reference data for recording the past for forecasting experiments for the next 1 (one) month. Experiments using different Alphas test accuracy in actual situations. The results of the experiment with an alpha of 0.2 are almost the same as the actual value in predicting the situation one month into the future with the lowest error, namely MAPE 12.05% and forecasting sales of gamis of 1,476 pcs. Keywords: forecasting; gamis; sales; single exponential smoothing (SES); toko ratna jaya.    Abstrak: Toko Ratna Jaya adalah usaha di bidang fashion yang menjual baju gamis wanita dan sedang mengalami ketidakstabilan dalam penjualannya dikarenakan Toko Ratna Jaya tidak mampu meramalkan penjualan mereka untuk bulan berikutnya. Toko Ratna Jaya saat ini melakukan peramalan hanya dengan mengandalkan paraduga pemiliknya. Namun, pendekatan ini kurang efisien dan dapat menyebabkan kerugian atau peningkatan biaya stok jika peramalan tidak akurat.  Untuk meningkatkan ketepatan perkiraan, penggunaan Metode Single Exponential Smoothing diusulkan. Metode ini menghaluskan nilai masa lalu dengan bobot eksponensial, memberikan penekanan lebih besar pada data terbaru. Penggunaan data 1 (satu) tahun terakhir sebagai data acuan pencatatan masa lalu untuk percobaan peramalan untuk 1 (satu) bulan kedepan. Eksperimen menggunakan Alpha yang berbeda menguji akurasi dalam situasi aktual. Hasil dari eksperimen dengan alpha 0,2 hampir sama dengan nilai aktual dalam meramalkan keadaan satu bulan ke depan dengan error yang paling rendah yaitu MAPE 12,05% dan peramalan penjualan gamis sebanyak 1.476 pcs. Kata kunci: gamis; penjualan; peramalan; single exponential smoothing (ses); toko ratna jaya.

CBR METHOD EXPERT SYSTEM FOR FEMALE REPRODUCTIVE HEALTH PROBLEM DETECTION

Lestari, Ade Dili, Siregar, Iqbal Kamil, Santoso, Santoso
Abstract: Abstract: Technological developments open up opportunities to improve health services, especially in the diagnosis of female reproductive health problems. This research discusses the development of an expert system at Utama… ama General Hospital in Kisaran to assist in the early diagnosis of female reproductive diseases. The problems that occur in this article are the absence of knowledge about dangerous diseases, lack of awareness of reproductive health diseases, remote and hard-to-reach locations of health facilities, high costs for consultations and drugs, and long time to get diagnostic results. The method used in solving these problems is Case Based Reasoning (CBR), where the system uses the experience of previous cases to handle new cases. The process involves collecting patient data, building a knowledge base, and developing an expert system using the CBR approach. Test results show the system is able to provide accurate diagnosis based on the symptoms inputted by the user. Solutions for each disease are displayed, providing useful information for further treatment. In conclusion, the development of this expert system is expected to improve the accessibility and quality of women's reproductive health services by providing fast and appropriate solutions. Keywords: case based reasoning (CBR) method; expert system; main public hospital kisaran; women's reproduction.     Abstrak: Perkembangan teknologi membuka peluang untuk meningkatkan layanan kesehatan, terutama dalam diagnosis masalah kesehatan reproduksi wanita. Artikel ini membahas pengembangan sistem pakar di Rumah Sakit Umum Utama Kisaran untuk membantu diagnosis dini penyakit reproduksi wanita. Masalah yang terjadi pada penelitian ini yaitu Tidak adanya pengetahuan tentang penyakit berbahaya, kurangnya kesadaran akan penyakit kesehatan reproduksi, lokasi fasilitas kesehatan yang terpencil dan sulit dijangkau, biaya tinggi untuk konsultasi dan obat, serta waktu yang lama untuk mendapatkan hasil diagnosa. Adapun metode yang digunakan dalam menyelesaikan masalah tersebut adalah Case Based Reasoning (CBR), di mana sistem menggunakan pengalaman kasus sebelumnya untuk menangani kasus baru. Proses melibatkan pengumpulan data pasien, pembentukan basis pengetahuan, dan pengembangan sistem pakar menggunakan pendekatan CBR. Hasil pengujian menunjukkan sistem mampu memberikan diagnosis akurat berdasarkan gejala yang diinputkan oleh pengguna. Solusi untuk setiap penyakit ditampilkan, memberikan informasi yang berguna untuk penanganan lebih lanjut. Kesimpulannya, pengembangan sistem pakar ini diharapkan meningkatkan aksesibilitas dan kualitas layanan kesehatan reproduksi wanita dengan memberikan solusi yang cepat dan tepat.   Kata kunci: metode case based reasoning (CBR); reproduksi wanita; rumah sakit umum utama kisaran; sistem pakar.  

ANALYSIS OF DECISION SUPPORT CRITERIA TYPE OF HOME INDUSTRY BUSINESS BASED ON ANALYTICAL HIERARCHY PROCESS

Magdalena, Hilyah, Santoso, Hadi
Abstract: Abstract: This research was conducted in the Bangka Belitung region specifically observing what criteria could support and hinder the development of home industries. The home industry is a small-scale industry that is generally… nerally carried out in the family sphere and is driven by women. Home industries need to receive support from the provincial government to survive and increase the scale of production. To make support for home industries more targeted, this research summarizes several criteria related to the conditions of home industries and the businesses they run. In Bangka Belitung Province there are several types of businesses that are run on a home industry scale. Based on the condition of the home industry which has multiple criteria and multiple alternatives, this research uses the Analytical Hierarchy Process method and Expert Choice software as data processing aids. The results of data processing show that industrial business is the highest alternative with a weight of 24.7% and the highest criterion is strategy at 23.7%. These results indicate that the largest portion of home industry business actors is engaged in the industrial sector and to encourage the progress of the home industry the most important factor is strategy, namely understanding the type of business they are involved in, labor-intensive industries, paying attention to production factors, electricity capacity, and business operations. While the next stage is to design a user interface for a web-based system as a means of collecting home industry data.             Keywords: AHP; collecting home industry data; home industries   Abstrak: Penelitian ini dilakukan di wilayah Bangka Belitung secara khusus melihat kriteria apa saja yang dapat mendukung dan menghambat perkembangan industri rumah tangga. Industri rumah tangga merupakan industri kecil yang umumnya dilakukan dalam lingkup keluarga dan digerakkan oleh perempuan. Industri rumah tangga perlu mendapat dukungan dari pemerintah provinsi agar bisa bertahan dan meningkatkan skala produksinya. Agar dukungan industri rumah tangga lebih tepat sasaran, penelitian ini merangkum beberapa kriteria terkait kondisi industri rumah tangga dan usaha yang dijalankannya. Di Provinsi Bangka Belitung terdapat beberapa jenis usaha yang dijalankan dalam skala industri rumah tangga. Berdasarkan kondisi industri rumah tangga yang memiliki banyak kriteria dan banyak alternatif, maka penelitian ini menggunakan metode Analytical Hierarchy Process dan software Expert Choice sebagai alat bantu pengolahan data. Hasil pengolahan data menunjukkan bahwa bisnis industri merupakan alternatif tertinggi dengan bobot 24,7% dan kriteria tertinggi adalah strategi 23,7%. Hasil tersebut menunjukkan bahwa porsi terbesar pelaku usaha industri rumah tangga bergerak di sektor industri dan untuk mendorong kemajuan industri rumah tangga faktor yang paling penting adalah strategi yaitu memahami jenis usaha yang digeluti, industri padat karya, pembayaran, memperhatikan faktor produksi, kapasitas listrik, dan operasional usaha. Sedangkan tahap selanjutnya adalah merancang antarmuka untuk sistem berbasis web sebagai sarana pendataan industri rumahan.   Kata kunci: AHP; industri rumahan; pendataan industri rumahan

APPLICATION OF CRM METHODS FOR SALES SYSTEMS SHOES AND SANDAL PRODUCTS AT KOAKI STORE

Panjaitan, Yuni Kartika, Manurung, Nuriadi, Christy, Tika
Abstract: Abstract: Koaki Store is a company engaged in the sale of various women's shoes and sandals that do not yet have the media to sell and promote the products they sell so that customers cannot know if there are new products… s or promo package products, unless the customer comes directly to the Koaki Store . As for the ordering process, customers must come directly to the store to buy products, this causes ineffective time utilization and inefficient costs incurred by customers who are far from the Koaki Store location, whereas if the order is made by telephone, customers cannot see directly . information about the products offered. In connection with this, a website-based application is needed at the Koaki Store that combines sub-systems including a sales system, recording order data, recording sales data, recording customer data online which becomes a unified system that is expected to be used to improve product sales services. The application of the CRM method is expected to be able to make customers loyal to the company so that the relationship that occurs is not only a relationship between sellers and buyers, but rather leads to a partner relationship. The goal to be achieved in this research is to facilitate the Koaki Store in providing online promotions in order to get new customers.   Keywords : Customer Relationship Management; Customer Service; Sales Increase   Abstrak: Koaki Store merupakan perusahaan yang bergerak di bidang penjualan aneka sepatu dan sandal wanita yang belum memiliki media untuk menjual dan mempromosikan produk yang mereka jual sehingga pelanggan tidak dapat mengetahui jika ada produk baru atau produk paket promo, kecuali pelanggan datang langsung ke Toko Koaki. Sedangkan untuk proses pemesanan, pelanggan harus datang langsung ke toko untuk membeli produk, hal ini menyebabkan tidak efektifnya pemanfaatan waktu dan tidak efisiennya biaya yang dikeluarkan oleh pelanggan yang jauh dari lokasi Toko Koaki, sedangkan jika pemesanan dilakukan melalui telepon, pelanggan tidak dapat melihat langsung . informasi tentang produk yang ditawarkan. Sehubungan dengan hal tersebut maka diperlukan suatu aplikasi berbasis website pada Toko Koaki yang menggabungkan sub sistem diantaranya sistem penjualan, pencatatan data pesanan, pencatatan data penjualan, pencatatan data pelanggan secara online yang menjadi satu kesatuan sistem yang diharapkan dapat digunakan untuk meningkatkan pelayanan penjualan produk. Penerapan metode CRM diharapkan mampu membuat pelanggan menjadi loyal kepada perusahaan sehingga hubungan yang terjadi tidak hanya hubungan antara penjual dan pembeli, melainkan lebih mengarah pada hubungan mitra. Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mempermudah Toko Koaki dalam memberikan promosi secara online guna mendapatkan pelanggan baru.   Kata Kunci : Customer Relationship Management, Layanan Pelanggan; Peningkatan Penjualan

BOX PENGHANGAT MAKANAN PENDAMPING AIR SUSU IBU MENGGUNAKAN TERMOELEKTRIK

Ibnutama, Khairi, Suryanata, Muhammad Gilang
Abstract: Abstract: The importance of complementary foods as complementary feeding for babies has become breastfeeding mother’s common knowledge. Impaired growth and development of infants and children aged 12-24 months is the low… the low quality of complementary foods caused by unsanitary storage areas and uncontrolled temperatures. Therefore, a research was made in the form of designing a complementary food warmer box which aims to maintain the quality of complementary foods for breastfeeding, especially for career women who spend most of their time outside the home and not with babies. The MPASI heating box is made using a Peltier module with a thermoelectric working concept powered by an electric current or battery so that it can be used anywhere and anytime.             Keywords: MPASI; Thermal Sensor; Thermoelectric; Warming Box     Abstrak: Pentingnya MPASI sebagai asupan pendamping bayi sudah menjadi pengetahuan umum setiap ibu menyusui. Gangguan tumbuh kembang bayi dan anak usia 12-24 bulan disebabkan rendahnya mutu MPASI karena tempat penyimpanan yang kurang bersih dan suhu yang tidak terjaga. Dengan demikian dibuatlah penelitian berupa rancang bangun box penghangat MPASI dengan tujuan agar makanan pendamping ASI dapat terjaga kualitasnya, terutama bagi wanita bekerja yang menghabiskan sebagian besar waktunya diluar rumah tanpa bersama bayi. Box penghangat MPASI menggunakan konsep kerja termoelektrik dalam bentuk modul Peltier dengan sumber tegangan arus listrik atau baterai, sehingga dapat digunakan kapanpun dan dimanapun.   Kata kunci: Box Penghangat; MPASI; Sensor Suhu; Termoelektrik

LEMARI PENDINGIN PORTABLE UNTUK PENYIMPANAN AIR SUSU IBU (ASI) MENGGUNAKAN TERMOELEKTRIK

Suryanata, Muhammad Gilang, Ibnutama, Khairi
Abstract: Abstract: The importance of breast milk as the main intake of the baby has become common knowledge for every breastfeeding mother. Exclusive breastfeeding is recommended by the government and WHO for breastfeeding mothers… s until the baby is two years old. The main obstacle to exclusive breastfeeding for babies is generally caused by the short resistance of breast milk to temperature factors, where breast milk can only last for less than four hours at room temperature. Therefore, a study was made in the form of a portable refrigerator design which aims to make breastfeeding mothers able to store breast milk longer, especially for career women who spend part of their time outside the home and not with babies. The refrigerator is made using a Peltier module with a thermoelectric working concept that is powered by an electric current or a battery so that it can be taken on trips.             Keywords: Arduino; Breast Milk; Cooler; Peltier; Thermoelectric     Abstrak: Pentingnya ASI sebagai asupan utama bayi telah menjadi pengetahuan umum bagi setiap ibu menyusui. Pemberian ASI ekslusif dianjurkan oleh pemerintah dan WHO kepada ibu menyusui sampai kurun waktu umur bayi dua tahun. Kendala utama terhambatnya pemberian ASI ekslusif kepada bayi umumnya disebabkan oleh daya tahan ASI yang singkat terhadap faktor suhu, dimana ASI hanya mampu bertahan selama kurang dari empat jam pada suhu ruangan. Oleh sebab itu dibuatlah penelitian berupa rancang bangun lemari pendingin portable yang bertujuan agar ibu menyusui dapat menyimpan ASI lebih lama, terutama bagi wanita karir yang sebagian waktunya diluar rumah dan tidak bersama bayi. Lemari pendingin dibuat menggunakan modul Peltier dengan konsep kerja termoelektrik yang ditenagai arus listrik atau baterai sehingga dapat dibawa dalam perjalanan.   Kata kunci: Arduino; ASI; Peltier; Pendingin; Termoelektrik

Differences in Social Support for Pregnant Women between Family Planning and Non-Family Planning

Artur Natalino Corte Real Araújo, Etelvina José Soares Tilman, Eugenia Carvalho de Araújo, Rafael dos Santos Ximenes, Maria Jose de J.C.Alves
Abstract: This study aims to analyze the differences in social support received by pregnant women who participate in the Family Planning (FP) program compared to pregnant women who do not participate in the program. The method used… d is a systematic literature review, which includes data collection and analysis from various studies related to social support for pregnant women. the results of the study indicate that pregnant women involved in the family planning program receive stronger social support from family, friends, and health workers. this support includes better emotional, informational, and instrumental aspects, which have a positive impact on their mental and physical health. in contrast, non-family planning pregnant women tend to experience social isolation and have limited access to health resources and information. the discussion in this study emphasizes the importance of social support in improving the welfare of pregnant women and the role of the family planning program as a platform to strengthen social support networks. the conclusion of this study shows that better social support in pregnant women who participate in the family planning program contributes to better mental health, lower stress levels, and increase their self-confidence during pregnancy. therefore, it is important to improve the integration of social support in the family planning program to create a more supportive environment for pregnant women, so that they can go through their pregnancy more healthily and optimally.