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
Abstract:Abstract: Population growth in some regions such as Asia is still high, especially in the number of births in children. Indonesia is one of the many countries whose birth rate growth is still high. With this high birth rate,…
ate, it will cause problems for the region such as the problem of uncontrolled population growth if the birth rate continues to be high in addition to the social and economic impact of the region. To reduce the birth rate, the government created a family planning program to minimize the high birth rate. In birth control with this birth control program, contraceptive devices and drugs (ALOKON) are used as a prevention of pregnancy. This is intended to determine the level of allocone use in family planning patients in the outpatient unit and recap reports of birth control patients in the outpatient unit. In addition, the era of digitalization of technology utilization with information systems that have been increasingly developed and advanced, especially in the health sector. The system development method used in this journal is the waterfall method which consists of analysis, system design, implementation, unit testing, and maintenance. The results obtained are in the form of developing implementation results from the design made into a family planning information system in the outpatient unit. This research was made to develop an existing information system and can assist medical record officers in processing data and reports more effectively and efficiently.
Keywords: alokon; growth of birth rate; information system; kb
Abstrak: Pertumbuhan penduduk dibeberapa wilayah seperti di Asia masih tinggi terutama pada angka kelahiran pada anak. Indonesia merupakan salah satu dari sekian banyak negara yang pertumbuhan angka kelahirannya masih tinggi. Dengan tingginya angka pertumbuhan kelahiran ini akan menimbulkan masalah bagi wilayah itu seperti permasalahan pertumbuhan penduduk yang tidak terkendali jika angka kelahiran terus tinggi selain itu berdampak pada kehidupan social dan ekonomi wilayah itu. Untuk menekan angka kelahiran pemerintah membuat program KB (Keluarga Berencana) dalam meminimalisir angka kelahiran yang tinggi. Dalam pengendalian kelahiran dengan program KB ini digunakan alat dan obat kontrasepsi (ALOKON) sebagai pencegah kehamilan. Hal ini ditujukan untuk mengetahui tingkat pemakaian alokon pada pasien KB di unit rawat jalan serta rekapan laporan pasien KB di unit rawat jalan tersebut. Selain itu era digitalisasi pemanfaatan teknologi dengan sistem informasi yang sudah semakin berkembang dan maju, terutama pada bidang Kesehatan. Metode pengembangan sistem yang digunakna pada jurnal ini adalah metode waterfall yang terdiri dari analisis, perancangan system, implementasi, pengujian unit, dan pemeliharaan. Hasil yang diperoleh berupa pengembangan hasil implementasi dari perancangan yang dibuat menjadi system informasi KB di unit rawat jalan. Penelitian ini dibuat untuk mengembangkan system informasi yang telah ada serta dapat membantu petugas rekam medis dalam pengolahan data dan laporan yang lebih efektif dan efisien.
Kata kunci: alokon; kb; pertumbuhan angka kelahiran; sistem informasi
Abstract:Abstract: The poor community is a condition in which the community does not have adequate facilities and infrastructure and an adequate environment, with the quality of housing and settlements far below the eligibility standard…
tandard and uncertain livelihoods covering all multidimensional dimensions. The Pasiran Village Office, Sei Dadap District, is one of the agencies located in the Pasiran area, Sei Kamah. Where the Pasiran Village Hall Office carries out activities to distribute assistance to village communities who are declared to be underprivileged or have low incomes below 3.5 million. With such a large number of village people, an in-depth analysis is needed to determine which poor people are entitled to receive Non-Cash Food Assistance from the government. The solution to this problem is to use data mining with the Naïve Bayes algorithm for data classification. Data mining is the science of extracting information by utilizing data sets to obtain valuable information with a large enough data size through the process of extracting data or filtering data. The classification application uses the naïve Bayes algorithm used at the Pasiran Village Office to produce a classification of beneficiaries, namely Worthy and Unworthy based on the attributes of Citizenship, Family Group, ASN Status, and Having a Healthy Family Card.
Keywords: data mining; naïve bayes; classification, beneficiary
Abstrak: Masyarakat miskin merupakan suatu kondisi dimana keadaan masyarakat yang tidak memiliki sarana dan prasarana serta lingkungan yang memadai, dengan kualitas perumahan dan pemukiman yang jauh dibawah standar kelayakan serta mata pencaharian yang tidak menentu yang mencakup seluruh multidimensi. Kantor Balai Desa Pasiran Kecamatan Sei Dadap merupakan salah satu instansi yang berada di daerah Pasiran, Sei Kamah. Dimana Kantor Balai Desa Pasiran melakukan kegiatan pembagian bantuan terhadap masyarakat desa yang dinyatakan kurang mampu atau memiliki penghasilan rendah dibawah 3,5 juta. Dengan jumlah masyarakat desa yang begitu banyak, diperlukan analisis yang mendalam untuk menentukan masyarakat tidak mampu yang berhak untuk mendapatkan Bantuan Pangan Non Tunai dari pemerintah. Solusi dari permasalahan tersebut adalah menggunakan data mining dengan algoritma naïve bayes untuk klasifikasi data. Data mining merupakan suatu ilmu untuk menggali informasi dengan memanfaatkan kumpulan data untuk mendapatkan berbagai informasi yang berharga dengan ukuran data yang cukup besar melalui proses penggalian data atau penyaringan data. Aplikasi klasifikasi menggunakan algoritma naïve bayes yang terapkan pada Kantor Balai Desa Pasiran menghasilkan klasifikasi warga penerima bantuan yaitu Layak dan Tidak Layak berdasarkan atribut Kewarganegaraan, Golongan Keluarga, Status ASN dan Memiliki Kartu Keluarga Sehat.
Kata kunci: data mining; naïve bayes; klasifikasi, penerima bantuan
Abstract:Abstract: Marriage is a husband and wife relationship between a man and a woman to form a family. There are several conditions in marriage that must be fulfilled both religiously and legally in force in Indonesia. To carry…
ry out the marriage, the prospective bride and groom must register at the nearest Religious Affairs Office (KUA), KUA is an institution established by the government to handle marriage matters. At marriages, various age groups are often found registering at the KUA. This research was conducted using the Data Mining technique through the K-Means Clustering Model to determine the age grouping of marriage which aims to make it easier for the Office of Religious Affairs in educating the prospective bride and groom from a future perspective and an economic perspective in terms of having a child. The research dataset is data on prospective wedding brides at KUA Rawang Lama, Panca Arga in 2022 with a total of 102 samples, by forming 3 clusters, namely: the Ideal cluster of 76 prospective wedding brides (age 19-30 based on husband's age and age 18-25 based on age wife), a good cluster of 20 prospective marriage brides (age 28-44 based on husband's age and age 24-37 based on wife's age), and a risky cluster of 6 prospective marriage brides (age 49-72 based on husband's age and age 39-58 based on wife's age), and produces a Silhouette Score of 0.57.
Keywords: clustering; data mining; k-means; marriage
Abstrak: Pernikahan merupakan hubungan sebagai suami dan istri antara seorang laki-laki dan perempuan untuk membentuk sebuah keluarga. Terdapat beberapa syarat dalam pernikahan yang wajib dipenuhi baik secara agama maupun secara hukum yang berlaku di Indonesia. Untuk melakukan pernikahan, calon kedua mempelai harus mendaftarkan diri pada Kantor Urusan Agama (KUA) terdekat, KUA merupakan lembaga yang dibentuk oleh pemerintah untuk menangani masalah pernikahan. Pada pernikahan sering ditemukan berbagai kalangan umur yang mendaftarkan diri di KUA. Penelitian ini dilakukan dengan menggunakan teknik Data Mining melalui Model K-Means Clustering untuk menentukan pengelompokkan umur pernikahan yang bertujuan untuk mempermudah pihak KUA dalam mengedukasi calon mempelai pernikahan dalam sudut pandang masa depan dan sudut pandang ekonomi dalam hal memiliki seorang anak. Dataset penelitian ini adalah data calon mempelai pernikahan pada KUA Rawang Lama, Panca Arga pada tahun 2022 sebanyak 102 sampel, dengan membentuk 3 klaster yaitu : cluster Ideal sebanyak 76 calon mempelai pernikahan (usia 19-30 berdasarkan umur suami dan usia 18-25 berdasarkan umur istri), cluster baik sebanyak 20 calon mempelai pernikahan (usia 28-44 berdasarkan umur suami dan usia 24-37 berdasarkan umur istri), dan cluster beresiko sebanyak 6 calon mempelai pernikahan (usia 49-72 berdasarkan umur suami dan usia 39-58 berdasarkan umur istri), dan menghasilkan Silhouette Score 0.57.
Kata kunci: clustering; data mining; k-means; pernikahan
Abstract:Abstract: The population growth in Indonesia is increasing rapidly every year, so to help the government control the population growth through family planning programs, especially in the city of Batam. This study explains…
s and describes one of the Artificial Terms Network methods, namely Backpropagation, where this method can predict what will happen in the future using data and information in the past. This study aims to predict the birth rate in the city of Batam to help the government with the family planning program. The data used is the annual data on the number of births in the city of Batam in 2016-2020 at The Civil Registry Office. To facilitate the analysis of research data, the data were tested using Matlab R2015b. In this study, the training process was carried out using 3 network architectures, namely 4-10-1, 5-18-1, and 4-43-1. Of these 3 architectures, the best is the 4-43-1 architecture with an accuracy rate of 91% and an MSE value of 0.0012205. The Backpropagation method can predict the amount of population growth in the city of Batam based on existing data in the past.
Keywords: artificial neural network; backpropagation; prediction
Abstrak: Pertumbuhan jumlah penduduk diindonesia yang setiap tahun meningkat dengan pesat, maka untuk membantu pemerintah mengendalikan jumlah pertumbuhan penduduk melalui program keluarga berencana khususnya dikota Batam. Penelitian ini menjelaskan dan memaparkan tentang salah satu metode Jaringan Syarat Tiruan yaitu Backpropagation, dimana metode ini dapat memprediksi apa yang akan terjadi masa yang akan datang dengan menggunakan data dan informasi dimasa lalu. Penelitian ini bertujuan untuk memprediksi tingkat kelahiran di kota Batam sehingga membatu pemerintah untuk perencanaan keluarga berencana. Data yang digunakan yaitu data tahunan jumlah kelahiran di kota Batam pada tahun 2016-2020 pada Dinas Kependudukan dan Catatan Sipil. Untuk mempermudah analisis data penelitian maka, data diuji menggunakan Matlab R2015b. Pada penelitian ini dilakukan proses pelatihan menggunakan 3 arsitektur jaringan yaitu 4-10-1, 5-18-1, dan 4-43-1. Dari ke-3 arsitektur ini yang terbaik adalah arsitektur 4-43-1 dengan tingkat akurasi sebesar 91% dan nilai MSE 0,0012205. Metode backpropagation mampu memprediksi jumlah pertumbuhan penduduk di kota Batam berdasarkan data yang ada dimasa lalu.
Kata kunci: backpropagation; jaringan syaraf tiruan; prediksi
Abstract:Abstract: Payroll is an acceptance in return from the employer to the employee for a job or service that has been done and is expressed or valued in the form of money determined on the basis of an agreement or legislation…
n and is paid on the basis of an employment agreement between the employer and the employee including benefits, both for the employees themselves and for the family. This research takes place at PT. Astro Niaga Jaya. The payroll process at PT. Astro Niaga Jaya is still conventional. Salary calculations are based on different details that hinder the performance process of the human resources department. Errors in calculating salaries can be fatal because it will affect the preparation of financial statements. Therefore, it is necessary to have an employee payroll information system so that the human resources department is not wrong in collecting employee payroll data. The purpose of this paper is to design employee attendance and payroll information systems at PT. Astro Niaga Jaya using Waterfall method in order to produce information that is fast, precise and accurate. The Waterfall method is often used in designing an information system. Payroll Information System can work effectively and efficiently.
Keywords: payroll, information, system
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.
Abstract:This research aims to measure the economic resilience of families involved in early marriage in Mayang Village, Jember Regency. Using a mixed methods approach that combines quantitative and qualitative methods, data was…
collected through observation, interviews, documentation, and surveys of 50 respondents who met the criteria. Data analysis using multiple linear regression shows that family income, mother's education level, and access to social assistance programs significantly affect family economic resilience. The data processing in this research uses Descriptive Statistical Analysis to describe the economic characteristics of families, such as income, expenditure, and welfare indicators. The results of this study indicate that early marriage has a significant impact on the economic resilience of families in Mayang Village, as reflected in decreased income and increased health burdens. These findings also highlight the importance of women's economic empowerment programs and improved access to education as efforts to enhance the welfare of families involved in early marriage. Interventions targeting education, health, and changes in social norms are crucial for improving the economic resilience of families in Mayang Village.
Abstract:Handling diseases in children under five years is very important in public health because they are vulnerable to serious diseases such as pneumonia, diarrhea, malaria and malnutrition. Integrated Management of Childhood…
Illness (IMCI) by WHO and UNICEF is a strategy that combines prevention, treatment and health promotion, including impact counseling to provide education to parents about the importance of disease management and access to health facilities. This research uses a systematic literature review to assess the influence of impact counseling in IMCI on parents' attitudes in bringing children to health facilities. Data was collected from databases such as PubMed, Scopus, and Google Scholar using relevant keywords. Articles that met the inclusion criteria were analyzed quantitatively and qualitatively to measure the effect of counseling on parental attitudes and behavior. The results of the analysis show that impact counseling significantly increases parents' understanding and involvement in children's health care. Counseling reduces anxiety and increases parents' confidence in caring for their child. The use of information technology in counseling makes it easier to access information and support. Counseling also improves access and utilization of health facilities by providing important information about available services. In conclusion, counseling in IMCI has a significant influence on parents' attitudes and behavior in bringing children to health facilities. Counseling helps increase understanding of a child's health, reduces anxiety, and promotes better health practices at home. Ongoing counseling programs are expected to improve child health outcomes and support the overall well-being of the family.
Abstract:Teenage pregnancy is a complex global issue with a significant impact on maternal mental health. This study aims to conduct a Systematic Literature Review (SLR) analysis of the relationship between teenage pregnancy and…
maternal mental health, with a focus on the impact, influencing factors, and variations in findings based on geographic and cultural context. Literature searches were carried out through scientific databases such as PubMed, Google Scholar, and several international journals. Inclusion criteria included studies that addressed the impact of teenage pregnancy on maternal mental health, with analysis of factors influencing this relationship as well as variations in findings based on geographic and cultural context. This SLR analysis identified that teenage pregnancy consistently has a negative impact on maternal mental health, including increasing the risk of stress, anxiety and depression. Factors such as social support, social stigma, and economic conditions play an important role in influencing the mental health of teenage mothers. The variety of findings suggests that cultural norms, family structure, and global crises such as the COVID-19 pandemic may significantly influence the experience and impact of teen pregnancy. These findings highlight the need for a holistic approach in supporting the mental health of teenage mothers, including increasing access to affordable mental health services, strong social supports, and educational programs that strengthen community awareness. Evidence-based policy implications can help reduce the negative impact of teenage pregnancy on maternal mental health, by integrating cultural and contextual perspectives in interventions aimed at improving the well-being of teenage mothers worldwide.