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Analisis Strategi Bertahan Sektor UMKM Indah Ambarita; I Gusti Prahmana; Rozaq Habibi
Jurnal Manajemen Dan Akuntansi Medan Vol. 6 No. 2 (2024): Jurnal Manajemen dan Akuntansi Medan
Publisher : Information Technology and Science (ITScience)

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Latar belakang: UMKM memiliki peran penting dalam pembangunan dan pertumbuhan ekonomi. UMKM mampu menyerap paling banyak tenaga kerja dibandingkan usaha besar, selain itu juga berkontribusi terhadap pertumbuhan produk domestik bruto (PDB) paling besar dibandingkan kontribusi dari usaha besar. Namun demikian UMKM perlu malakukan strategi bertahan supaya mampu bersaing. Metode penelitian: Penelitian ini merupakan Penelitian deskriptif kuantitatif bertujuan untuk menguraikan atau mepggambarkan tentang sifat-sifat (karakteristik) dari suatu objek penelitian. Adapun sifat penelitian ini bermaksud menjelaskan kedudukan variabel-variabel yang diteliti serta hubungannya antara satu variabel dengan yang lain. Hasil penelitian: Sebagian besar UMKM yang ada di Indonesia, merupakan kegiatan usaha rumah tangga yang dapat menyerap banyak tenaga kerja. terdapat 65,4 juta UMKM. Dengan jumlah unit usaha yang sampai 65,4 juta dapat menyerap tenaga kerja 123,3 ribu tenaga kerja. Total UMKM di Kota Binjai sebanyak 20.852 UMKM. Kesimpulan: UMKM mempunyai potensi basis ekonomi yang kuat karena jumlah UMKM yang sangat banyak dan daya serap tenaga kerja sangat besar. UMKM Kota Binjai belum mampu meningkatkan pendapatan daerah Kota Binjai, karena pendapatan masyarakat yang dilihat dari pengeluaran masyarakat per kapita masih rendah.

Klasifikasi Tingkat Kepuasan Masyarakat Penggunaan BPJS Kesehatan di Kota Binjai Menggunakan K-Means Clustering Nadila Rahmawati; Relita Buaton; Indah Ambarita
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 5 (2024): September : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.188

The health Social Security Administering Agency (BPJS) is a legal entity specifically assigned by the government to administer social security. Seen in the vision and mission of the Long Term Develompment Plan For the Health Sector 2005-2025, namely that the community is expacted to have the ability to access quality health services and also obtain heald insurance, namely that the community gets protection in meeting their basic health needs. Especially for the people of Binjai city, to see the level of satisfaction of peolbe using BPJS Health in the city of Binjai, it is necessary to build a clustering that can group the level of satisfaction in each domicile. Data Mining Grouping using the K-Menas Clustering algoritma metdhod, which is a process of processing quite large amounts of data using statistical methods, this producing a group of data. It is hoped that clustering can complete the grouping of satisfaction levels of BPJS user commuites in the city of Binjai. There are 400 data from correspondent responses from the community regarding the level of satisfaction in using BPJS Health in the city of Binjai. From the results of trials with 400 data carried out with MATLAB, it was found that group 3, cluster 1, had 244 data, cluster 2 had 69 data, cluster 3 had 87 data, group 4 cluster 1 has 78 data, cluster 2 68 data, cluster 3 has 109 data, group 5 cluster 1 has 63 data, cluster 2 has 63 data, cluster 3 has 145 data, cluster 4 has 24 data, cluster 5 has 100 data.

PENERAPAN ALGORITMA C4.5 DALAM MENGUKUR TINGKAT KEPUASAN NASABAH PADA PT BANK MUAMALAT INDONESIA KCU MEDAN BARU BERBASIS WEB Azli, Putri; Jaya, Indra Kelana; Ambarita, Indah
Majalah Ilmiah METHODA Vol. 13 No. 2 (2023): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

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In the field of service providers, sharia banking and conventional banking have differences in their characteristics which lie in the practice of running business operations, where operations are based on sharia principles, and this principle is the main attraction for customers to utilize sharia bank services. Quality of service is a key factor that will become a competitive advantage in today's banking world. This happens because the bank as a service company has the characteristic of being easy to imitate a product that has been marketed. The measurement method for determining customer satisfaction at Bank Muamalat is by applying data mining, where customer data that makes transactions will be inputted into the system and then processed using the C4.5 method with predetermined criteria. Data mining is a process of finding meaningful relationships, patterns and trends by examining large sets of data stored in storage using pattern recognition techniques. According to Algorithm C4.5 is an algorithm used to form a decision tree.

Application of Linear Regression in Predicting Education Level and Income of Residents (Case Study: Desa Padang Cermin) Nst, Anugrah Always; Sihombing, Marto; Ambarita, Indah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.592

Linear regression methods were used to predict education and income levels in Padang Cermin Desa. Padang Cermin Desa has twelve hamlets and a total of 13,055 residents, with 6,135 men and 6,920 women, and 2545 households. The aim of this study is to raise government and community awareness of the importance of education for welfare and a better life in the future. Using existing data, this study can provide a clear picture of the relationship between education levels and income as well as relevant recommendations to improve the quality of life in Padang Cermin Desa. This research uses a quantitative case study design with secondary data collected through hamlet heads and semi-structured interviews. The linear regression equation Y 36900147.57 + 2516320.971X is based on the MAPE value with a result of 28.25% and an accuracy rate of 71.75%. In the case study of applying linear regression to predict the education level and income of residents, the following are some conclusions: The prediction results show that people with elementary school education are estimated to have an income of 421,897,256.1, while people with secondary school education are estimated to have an income of 311,179,133.4. People who completed a senior high school education are estimated to have the highest income of IDR 457,125,749.7, showing the importance of secondary education. Higher education and vocational education still have the potential to be improved, although the income of the population with education is estimated at IDR 64,579,678.25 for Diploma I/II/III and IDR 79,677,604.08 for Diploma IV/Strata I.

Application of Data Mining to Measure the Level of Satisfaction with Public Facilities and Services at STMIK Kaputama Binjai Using Linear Regression Method Rendy Zuhriansyah Pratama; Sihombing, Marto; Ambarita, Indah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.646

This study aims to analyze the level of satisfaction of STMIK Kaputama Binjai students with physical facilities (classrooms, laboratories, prayer rooms, wifi) and general services (administration, academic guidance, library, security, campus cleanliness) using multiple linear regression methods. Data were collected through questionnaires from students in the 2022/2023 academic year. The results showed that both variables have a significant effect on student satisfaction, with a regression coefficient of physical facilities of 0.40 and general services of 0.59, indicating that general services have a greater impact. Prediction of student satisfaction reached an accuracy level of 98% with a Mean Absolute Percentage Error (MAPE) value of 2%. Laboratory facilities and internet access (wifi) are the dominant factors affecting satisfaction. Based on these findings, improvements in both aspects are recommended to increase student satisfaction and institutional competitiveness.

Analysis of Village Residents Receiving Social Assistance Using Linear Regression Method Rafli Fitriawan; Saragih, Rusmin; Ambarita, Indah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.677

This study aims to analyze the recipients of social assistance in Banyumas Village using the simple linear regression method. The research examines how household income affects the amount of social assistance received. Data was collected from the Banyumas Village Office, including information on income and the amount of social assistance received by residents. The results show a negative relationship between household income and the amount of assistance received, where higher income leads to smaller assistance. The model also demonstrates good accuracy with an average prediction error (MAPE) of 9.38%. Additionally, an R² value of 0.999972 indicates that the model can explain almost all variations in the data. This study provides valuable insights into the effectiveness of the social assistance program in Banyumas Village and to help improve the program in the future.

Analisis Strategi Bertahan Sektor UMKM Ambarita, Indah; Prahmana , I Gusti; Habibi , Rozaq
Jurnal Manajemen Dan Akuntansi Medan Vol. 6 No. 2 (2024): Jurnal Manajemen dan Akuntansi Medan Juli 2024
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

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Latar belakang: UMKM memiliki peran penting dalam pembangunan dan pertumbuhan ekonomi. UMKM mampu menyerap paling banyak tenaga kerja dibandingkan usaha besar, selain itu juga berkontribusi terhadap pertumbuhan produk domestik bruto (PDB) paling besar dibandingkan kontribusi dari usaha besar. Namun demikian UMKM perlu malakukan strategi bertahan supaya mampu bersaing. Metode penelitian: Penelitian ini merupakan Penelitian deskriptif kuantitatif bertujuan untuk menguraikan atau mepggambarkan tentang sifat-sifat (karakteristik) dari suatu objek penelitian. Adapun sifat penelitian ini bermaksud menjelaskan kedudukan variabel-variabel yang diteliti serta hubungannya antara satu variabel dengan yang lain. Hasil penelitian: Sebagian besar UMKM yang ada di Indonesia, merupakan kegiatan usaha rumah tangga yang dapat menyerap banyak tenaga kerja. terdapat 65,4 juta UMKM. Dengan jumlah unit usaha yang sampai 65,4 juta dapat menyerap tenaga kerja 123,3 ribu tenaga kerja. Total UMKM di Kota Binjai sebanyak 20.852 UMKM. Kesimpulan: UMKM mempunyai potensi basis ekonomi yang kuat karena jumlah UMKM yang sangat banyak dan daya serap tenaga kerja sangat besar. UMKM Kota Binjai belum mampu meningkatkan pendapatan daerah Kota Binjai, karena pendapatan masyarakat yang dilihat dari pengeluaran masyarakat per kapita masih rendah.

SISTEM PENDUKUNG KEPUTUSAN PRIORITAS CALON PENERIMA BANTUAN PROGRAM INDONESIA PINTAR (PIP) PADA SISWA TINGKAT SEKOLAH DASAR MENGGUNAKAN METODE MOORA Manik, Laurensia Agustin; Maulita, Yani; Ambarita, Indah
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Vol 3 Nomor 1
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v3i1.1161

Regarding assistance from the recipients of the Smart Indonesia Program (PIP) because there are so many prospective recipients of PIP assistance who volunteered to get the assistance, the process of delivering aid is sometimes not on target. Invalid data causes errors in the distribution of PIPs given to recipients who are entitled to receive them. Special Decision Support System (SPK) was built to support the solution of a problem or for an opportunity, one of the PIP aid recipient's approval in the Binjai City Education Office so that it is right on target for students who will get PIP assistance. The role of decision support systems is needed to improve the efficiency of decision making in determining students who are eligible for PIP assistance. The method used in this system uses the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) and by using 7 (seven) criteria, namely family conditions, report card scores, parental work, number of dependents, number of dependents of children who attend school, home conditions and parents' income as well as 10 (ten) alternatives that are student data. Based on the results of calculations using the MOORA method, students on behalf of MM (A9) are the best alternative to be given PIP assistance with a value of 0.2843

Analisis Peluang Bisnis Digital Bagi Mahasiswa STMIK Kaputama Untuk Memperkuat Struktur Perekonomian Ambarita, Indah; Gultom , Imeldawaty; Turnip , Sofia M.
Jurnal Manajemen Dan Akuntansi Medan Vol. 7 No. 2 (2025): Jurnal Manajemen dan Akuntansi Medan Juli 2025
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

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Latar belakang: Menciptakan lulusan perguruan tinggi untuk menjadi seorang wirausaha tidaklah mudah. Dibutuhkan mental wirausaha yang kuat, kreativitas dan inovasi. Namun, dengan kehadiran teknologi digital membuat kendala-kendala berwirausaha tersebut dapat diminimalisir serta membuat upaya menjadi lebih cepat, lebih mudah, dan terjangkau. Dampak dari era digital ini menjadikan adanya perubahan pada dinamika kehidupan serta membuka peluang usaha baru khususnya bagi mahasiswa karena kegiatan bisnis dapat dijalankan kapan dan dimana saja. Metode penelitian: Penelitian ini merupakan penelitian deskriptif kuantitatif untuk menguraikan atau menggambarkan tentang sifat-sifat (karakteristik) dari suatu keadaan atau objek penelitian yang sudah disebutkan hasilnya kemudian dipaparkan dalam bentuk laporan penelitian. Analisis data yang digunakan yaitu analisis deskriptif dengan model analisis regresi korelasi dengan menggunakan program SPSS. Hasil penelitian: 1. Persamaan regresi Y²=-2.844+0.365X1+0.548X2+e menyatakan bahwa tanpa pengaruh variabel X1 dan X2 maka variabel Y dengan konstan akan bergerak cenderung turun sebesar 2,844 satuan. 2. Variabel X1 (Lingkungan) dengan nilai 0,368 satuan yang berarti setiap kenaikan variabel Lingkungan sebesar satu satuan maka variabel Minat Berwirausaha juga akan meningkat sebesar 0,368. Dengan kata lain, H1: Lingkungan berpengaruh signifikan terhadap peluang mahasiswa STMIK Kaputama untuk berwirausaha diterima. 3. Variabel X2 (Pendidikan Kewirausahaan) dengan nilai 0,545 satuan yang berarti setiap kenaikan variabel Penidikan Kewirausahaan sebesar satu satuan maka variabel Minat Berwirausaha juga akan meningkat sebesar 0,545. Dengan kata lain, H2: Pendidikan kewirausahaan berpengaruh signifikan terhadap peluang mahsiswa STMIK Kaputama untuk berwirausaha diterima. Kesimpulan: Variabel lingkungan berpengaruh signifikan terhadap peluang bisnis digital bagi mahasiswa STMIK Kaputama untuk memperkuat struktur perekonomian. Demikian juga pendidikan kewirausahaan berpengaruh signifikan terhadap peluang bisnis digital bagi mahasiswa STMIK Kaputama untuk memperkuat struktur perekonomian.

PENERAPAN ALGORITMA C4.5 DALAM MENGUKUR TINGKAT KEPUASAN NASABAH PADA PT BANK MUAMALAT INDONESIA KCU MEDAN BARU BERBASIS WEB Azli, Putri; Jaya, Indra Kelana; Ambarita, Indah
Majalah Ilmiah METHODA Vol. 13 No. 2 (2023): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol13No2.pp189-194

In the field of service providers, sharia banking and conventional banking have differences in their characteristics which lie in the practice of running business operations, where operations are based on sharia principles, and this principle is the main attraction for customers to utilize sharia bank services. Quality of service is a key factor that will become a competitive advantage in today's banking world. This happens because the bank as a service company has the characteristic of being easy to imitate a product that has been marketed. The measurement method for determining customer satisfaction at Bank Muamalat is by applying data mining, where customer data that makes transactions will be inputted into the system and then processed using the C4.5 method with predetermined criteria. Data mining is a process of finding meaningful relationships, patterns and trends by examining large sets of data stored in storage using pattern recognition techniques. According to Algorithm C4.5 is an algorithm used to form a decision tree.

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