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Journal of Engineering, Technology and Computing (JETCom)
Published by Yayasan Bina Internusa Mabarindo
ISSN : 2829372X     EISSN : 28280512     DOI : -
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Journal of Engineering, Technology and Computing (JETCom) Merupakan Media Publikasi Ilmiah untuk Para Akademisi dan Peneliti, yang berasal dari hasil Pemikiran dan Penelitian sesuai Cakupan dan Fokus yang ada dalam Manajemen Informasi Jurnal ini. Pengelola/Penyunting mengingatkan kepada semua calon penulis bahwa kami hanya menerima pengiriman kertas/Naskah Jurnal yang berasal dari Penelitian asli (Original) dari penulis, tidak berasal dari Plagiasi hasil penelitian dari peneliti orang lain. Journal of Engineering, Technology and Computing (JETCom) Terbit tiga (3) kali setahun pada bulan Maret, Juli dan November Semua Penulis Wajib mematuhi Aturan Standar Format Template Jurnal, dan harus sesuaikan Format Naskah Penulis dengan Format Template yang berlaku di Journal of Engineering, Technology and Computing (JETCom), maka kami mengingatkan, sebaiknya penulis download dahulu Format Template Artikel/Jurnal , selanjutnya pengelola akan Langsung Menolak (Riject) Naskah yang tidak sesuai Format Template Jurnal kami dan tidak sesuai dengan Cakupan dan Fokus (Scope & Focus) Journal of Engineering, Technology and Computing (JETCom) mencakup semua aspek Teknik Terapan, Teknik Komputer, Ilmu Terapan, Teknologi informasi, Ilmu Komputer/Informatika, Sistem Informasi, dan Komputasi.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 89 Documents
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DECISION SUPPORT SYSTEM FOR DETERMINING ADDICTION COUNSELORS USING THE ARAS METHOD AT THE BINJAI CITY BNN OFFICE Hardiningsih, Sri; Buaton, Relita; Prahmana , I Gusti
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.123

Abstract

Konselor Adiksi merupakan orang yang bertugas melaksanakan kegiatan rehabilitasi kecanduan atau ketergantungan secara fisik dan mental terhadap suatu zat dan memiliki kompetensi di bidang kesehatan dan sosial yang mengkhususkan diri dalam membantu orang dengan ketergantungan narkotika, psikotropika dan zat adiktif lainnya. Sistem Pendukung Keputusan (SPK) akan dibangun menggunakan metode Additive Ratio Assesment (ARAS) yang merupakan metode pengambilan keputusan multi kriteria berdasarkan pada konsep perangkingan menggunakan utilitydegree yaitu dengan membandingkan nilai indeks keseluruhan setiap alternatif terhadap nilai indeks keseluruhan alternatif optimal.
CLASSIFICATION OF STUDENT LEARNING INTERESTS BASED ON LEVEL OF EDUCATION USING CLUSTERING METHOD Puspita, Adela; Novriyenni, Novriyenni; Naftali Sitompul, Juliana
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.124

Abstract

Pendidikan pada hakikatnya merupakan kesadaran untuk mengembangkan kepribadian dan kemampuan peserta didik didalam dan diluar sekolah dan berlangsung selama masih dalam jenjang pendidikan.berdasarkan data minat siswa berdasarkan jenjang pendidikan nya pada tahun 2022 yang dapat diartikan sebagai pendidikan madrasah ibtidaiyah (MI), madrasah tsanawiyah (MTs) ada pun pendidikan madrasah lain yaitu madrasah aliyah (MA). K - means Clustering merupakan salah satu metode untuk mencari dan mengelompokan data yang memiliki kemiripan karakteristik antara satu data dengan yang lainnya. Analisa dilakukan dengan metode Clustering yang menggunakan metode K-Means yang kemudian diterjemahkan dalam sebuah perangkat lunak. Perangakat lunak ini yang digunakan untuk pengelompokkan data. Salah satu tujuan penelitian untuk mengetahui hasil dari pengelompokan yang dapat mengolah tumpukan data siswa yang memiliki minat belajar dan menghasilkan informasi yang baru.
GROUPING THE DEVELOPMENT OF PRICES OF BUILDING STAPLES IN BINJAI CITY BASED ON THE TYPE OF GOODS USING THE CLUSTERING METHOD : (Case Study: BPS Kota Binjai) Nurmaya, Nurmaya; Novriyenni, Novriyenni; Syahputra, Siswan
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.129

Abstract

The development of basic commodity prices is essentially a physical development activity. Various kinds of resources are processed with the power of human resources. The longer the processing process, the greater the added value for humans and the greater the costs required. One of the most widely used methods in the clustering method is to use the K-Means algorithm. K-Means is a non-hierarchical (block) grouping method that seeks to partition data into clusters/groups so that data with the same characteristics will be included in the clustering method. in the same cluster and data with different characteristics are grouped into another group. From the 20 data obtained 3 groups, Cluster 1 has 7 data, Cluster 2 has 6 data, and Cluster 3 has 7 data. And the most group obtained is cluster 1 and cluster 3.Cluster 1 contains 7 data, namely types of bricks with a fixed price of IDR 200 per piece in 2020 South Binjai. Cluster 2 contains 6 data, namely types of bathtub items with a fixed price of IDR 75,000 in 2020 South Binjai. Cluster 3 contains 7 data, namely the type of emulsion paint with a fixed price of IDR 300,000 in 2020 South Binjai.
BPJS SERVICE DATA CLUSTERIZATION USING K-MEANS ALGORITHM : (Case Study: BPJS Binjai Office) Br. Ginting, Rosa Lina; Buaton, Relita; Khair, Husnul
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.131

Abstract

 Employment BPJS is a program formed by the government to provide social protection to workers. Due to the large number of workers, for example, using the Death Insurance program (JKM), it will produce abundant and accumulating data. To find out BPJS service data is to group BPJS service data in BPJS. One of the most widely used methods in the clustering method is to use the K-Means algorithm. K-Means is a non-hierarchical (block) grouping method that seeks to partition data into clusters/groups so that data with the same characteristics will be included in the clustering method. in the same cluster and data with different characteristics are grouped into another group. From the 20 data obtained 3 groups, Cluster 1 has 3 data, Cluster 2 has 4 data, and Cluster 3 has 13 data. Cluster 1 has the male sex who has the BPJS Old Age Guarantee (JHT) program which gets class III services. Cluster 2 has the male sex who has the BPJS Death Insurance (JKM) program who gets class I services. cluster 3 there are women who have the BPJS Death Guarantee program (JKM) who get class II types of services.
PENGELOMPOKAN PASIEN OPERASI SESAR BERDASARKAN INDIKASINYA MENGUNAKAN METODE CLUSTERING Sujayanti Br.Giniting, Novia; Maulita, Yani; Ramadani, Suci
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.133

Abstract

Kelahiran sesar adalah alternatif terakhir dalam persalinan, dikarenakan faktor resiko yang tinggi. Walau pun resikonya tinggi, angka kelahiran sesar mengalami peningkatan yang tinggi, khususnya di Indonesia. Cluster analysis adalah pekerjaan mengelompokan data (objek) yang didasarkan hanya pada informasi yang ditemukan dalam data yang menggambarkan objek tersebut dan hubungan diantaranya. Output untuk mengetahui pengelompokan pasien sesar  berdasarkan indikasi yang ada. Dari 20 data diperoleh 3 group, Cluster 1 terdapat 6 data, Cluster 2 terdapat 10 data, dan Cluster 3 terdapat 4 data. Dan diperoleh Group terbanyak adalah cluster 2. Dapat diketahui pada cluster 1 (1   1   1) terdapat terdapat 6 data yaitu berada di umur pasien 18-25 tahun pada status kehamilan ke satu dan memiliki indikasi tekanan darah tinggi. Pada cluster 2 (2   1   5) terdapat 10 data yaitu berada di umur pasien 26-35 tahun pada status kehamilan ke satu dan memiliki indikasi pinggul ibu terlalu kecil. Pada cluster 3 (2   1   6) terdapat 4 data yaitu berada di umur pasien 26-35  tahun pada status kehamilan ke satu dan memiliki indikasi kelilet tali pusar.  
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN KELAYAKAN MAHASISWA DALAM MENGIKUTI PROGRAM KAMPUS MENGAJAR MENGGUNAKAN METODE MOORA: (Studi Kasus : STMIK Kaputama) Wati, Sri Kesuma; Fauzi, Achmad; Saragih, Rusmin
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.134

Abstract

Merdeka learning Merdeka Learning Merdeka Campus (MBKM) is a program designed by the Minister of Education and Culture which aims to encourage students to master various sciences to prepare them to enter the world of work. The Merdeka Learning Campus Merdeka Program (MBKM) is one of the breakthroughs of the Ministry of Education, Culture, Research and Technology in spurring quality and character human resources, because through this planned program, it is hoped that both students and lecturers will have different experiences which in the end will enrich insight, network, and character excellence. In order to prepare students to face social, cultural, world of work changes and rapid technological advances, student competencies must be prepared to be more relevant to the needs of the times.
DIAGNOSE OF DISEASES CAUSED BY JUNK FOOD USING THE CERTAINTY FACTOR METHOD Suci Pratiwi, Kiki; Saragih, Rusmin; Ramadani, Suci
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.136

Abstract

Makanan yang tidak mengandung gizi (tidak bergizi), seperti junk food, apabila dikonsumsi secara terus menerus maka dapat menyebabkan gangguan kesehatan. Berkenaan dengan situasi ini, penyakit yang sering muncul akibat konsumsi junk food adalah obesitas, Diabetes melitus tipe II, Jantung koroner, Hipertensi. Penyakit tersebut apabila tidak di deteksi secara dini maka akan berdampak serius terhadap kesehatan. Penelitian ini bertujuan untuk merancang suatu sistem yang dapat mendeteksi dini sebagai upaya pencegahan penyakit yang disebabkan oleh junk food. Metode yang digunakan dalam penelitian ini adalah metode certainty factor, yaitu metode yang digunakan untuk membuktikan apakah suatu data itu pasti atau tidak pasti untuk mengakomodasi ketidakpastian dalam pengambilan keputusan.
Implementation of Data Mining Teacher Performance Assessment Using the K-means Clustering Method in Student Learning Styles in the 4.0 Era Zul'Aini, Nurul Hasanah; Lubis, Imran; Ria Pasaribu, Tio
Journal of Engineering, Technology and Computing (JETCom) Vol. 3 No. 1 (2024): JETCom (March 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v3i1.137

Abstract

 In today's digital era, information technology has changed various aspects of life, including in the world of education. Era 4.0 provides new challenges for education, including in assessing teacher performance. Teacher performance evaluation is an important aspect in improving the quality of education. However, in measuring teacher performance, there are many factors to consider, including student learning styles. This research was conducted at the Paba Binjai school by conducting direct interviews with 700 students who would fill out questionnaire data. This method is a popular method used in cluster analysis, which aims to group data into several homogeneous groups based on the similarity of the attributes possessed. there are 4 data and group 3 there are 6 data. The explanation of the 3 groups is as follows: 1. Cluster 1 There are 12 data 6.4 1.9 1.6 Based on the above calculations it can be seen that in cluster 1 the teacher performance assessment data in the learning styles of SMK Paba Binjai students in the Subject group ( X) is Computer and Network Engineering, for the Student Evaluation Learning group (Y) is Achieved, and in the Learning Style group (Z) is Auditory. 2. Cluster 2 There are 4 data 7.75 2.5 1.5 Based on the above calculations it can be seen that in cluster 2 the data on teacher performance assessment in the learning styles of Paba Binjai Vocational High School students in the Subject group (X) is Software Engineering, for the group Student evaluation (Y) is quite achieved, and in the learning style group (Z) is auditory. 3. Cluster 3 There are 6 data 6.5 1.5 1.6 Based on the above calculations it can be seen that in cluster 3 the teacher performance assessment data in the learning styles of Paba Binjai Vocational High School students in the Subject group (X) are Computer and Network Engineering, for the student evaluation group (Y) is achieved, and in the learning style group (Z) enough is auditory. This assessment is used as a consideration for school principals in deciding teachers who lack integrity and produce a group of teachers who have very good, good, moderate, and poor teaching quality.
Decision Support System Determining Differentiate Learning In Students Using The Moora Method Agus Sapitri, Liana; Fauzi, Achmad; Simanjuntak, Magdalena
Journal of Engineering, Technology and Computing (JETCom) Vol. 3 No. 1 (2024): JETCom (March 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v3i1.140

Abstract

Quick and precise decision-making is key in facing global competition. Based on the results of research conducted at STMIK Kaputama Binjai, the learning process for students is good, but they still have to develop other methods in the learning process. less effective and efficient, not in accordance with differentiated learning. Differentiated learning is learning that gives students the freedom to increase their potential according to their learning readiness, interests, and learning profile. Differentiated learning does not only focus on learning products, but also focuses on processes and content or materials. To overcome this problem, it is necessary to build a system to streamline the process of determining the methods that need to be applied in well-computerized classrooms by utilizing the processes of the Decision Support System (DSS). Based on the results of the research conducted, it was found that the Kinesthetic Learning Model with a value of 0.715; has the highest score and is ranked first. With these results it is also concluded that the learning model is appropriate to be a learning model in providing students with differentiated learning.
Application of Data Mining Correlation Between Family Socio-Economy And Student Achievement Level Sany Lubis, Fauzan Al An; Buaton, Relita; Sembiring, Hermansyah
Journal of Engineering, Technology and Computing (JETCom) Vol. 3 No. 1 (2024): JETCom (March 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v3i1.141

Abstract

Learning achievement is the result of an achievement by students after going through the process of teaching and learning activities. Several factors influence student achievement, one of which is the family's socio-economic environmental factors. The family environment is very influential in the formation of children's character and also the child's mindset. The socio-economic level of the family has an influence on the success of children in achieving academic achievement. This study aims to determine the correlation between family socio-economic and student achievement at SMP Negeri 11 Binjai using the a priori method where this method helps the school and parents to more easily find out what factors are most dominant in influencing family socio-economic correlations to student achievement. From the 20 data tested, the best rule was obtained, namely if the parents of students with junior high school education worked as entrepreneurs and had an income of between IDR 1,000,000 - IDR 1,999,000. Then the student is not in the top 10 in his class with a supporting value of 10% and a certainty value of 100%

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