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All Journal JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) JURNAL MAHAJANA INFORMASI JTIK (Jurnal Teknik Informatika Kaputama) MEANS (Media Informasi Analisa dan Sistem) Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI Jurnal Ilmu Komputer dan Sistem Informasi Jurnal ABDIMAS MUTIARA Pascal: Journal of Computer Science and Informatics JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL
Simanjuntak, Magdalena
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Grouping Data of Patients Who Are Conducting Drugs Abuse Rehabilitation Using The Clustering Method (Case Study: BNNK Binjai) Ana, Putri; Buaton, Relita; Simanjuntak, Magdalena
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 2 (2023): JETCom, July 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i2.103

Abstract

Rehabilitation is an appropriate alternative punishment for drug addicts. By utilizing data mining using input data in the form of rehabilitation patient data at BNNK Binjai, the data will be processed using the clustering method using the k-means algorithm. K-Means is a non-hierarchical data clustering method that seeks to partition existing data into one or more clusters or groups so that data has characteristics. Of the 20 data tested in cluster 1 there are a total of 13 data and are located in the Age group (X) which is 26-35 years old, and for the substance type group (Y) used is methamphetamine and in the Occupational group (Z), namely Self-employed. in cluster 2 there is a total of 5 data and it is located in the Age group (X) which is 26-35 years old, and for the Substance type group (Y) used is Shabu and in the Employment group (Z) namely Not Yet Working. in cluster 3 there is a total of 2 data and it is located in the Age group (X) which is 26-35 years old, and for the Substance type group (Y) used is Shabu and in the Occupational group (Z) namely Private Employees.
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.
Penerapan Data Mining Pengelompokan Data Pada Penghasilan Orang Tua Siswa Menggunakan Metode Clustering Algoritma K-Means Pada SMA Negeri 1 Selesai Defita Br. Manurung, Sella; Simanjuntak, Magdalena; Novriyenni
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.160

Abstract

Penyebab siswa tidak melanjutkan pendidikan adalah factor ekonomi orang tua yangmempengaruhi, Oleh sebab itu, dari pihak sekolah tidak ingin siswanya putus sekolahkarena orang tua siswa tidak mampu membayar secara lunas biaya pendidikan setiapsemester. Maka sekolah membutuhkan sebuah sistem yang dapat mengelompokkansiswanya, berdasarkan penghasilan orang tua siswa dan berbagai kriteria pertimbanganlainya. Sehingga sekolah dapat memberikan penundaan pembayaran setiap semester, padasiswa yang tepat dan tidak salah sasaran sehingga siswa dapat menyelesaikanpendidikannya tampa terbebani dengan baiya pendidikan yang belum lunas. Salah satupendekatan yang di gunakan dalam mengembangkan metode clustering yaitu metode KMeans, dimana metode ini merupakan salah satu metode pengelompokan data nonhierarki(sekatan) yang berusaha mempartisipasi data kedalam bentuk dua atau lebih. Tetapi kalaucluster tidak harus akan tetapi pengelompokanya berdasarkan pada kedekatan dari suatukarakeristik simple yang ada, salah satunya dengan menggunkan rumus jarak eclulden.Aplikasih cluster ini sangat banyak, karena hampir dalam mengidentifikasihkanpermasalahan atau pengembalian keputusan selalu tidak sama persis akan tetapi cenderungmemiliki kemiripan saja.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN WILAYAH PRIORITAS INTERVENSI KEGIATAN KELUARGA BERENCANA DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) STUDI KASUS : DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KOTA BINJAI Fauzan Akbar, Ahmad; Simanjuntak, Magdalena
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

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Abstract

Keluarga Berencana merupakan tindakan yang membantu individu atau pasangan suami istriuntuk mendapatkan objek tertentu yang dijalankan oleh Dinas Pengendalian Penduduk danKeluarga Berencana (DPPKB) Kota Binjai. Intervensi merupakan suatu kegiatan yang dilakukansecara sistematis dan terencana untuk mengubah keadaan seseorang, kelompok orang ataumasyarakat yang menuju kepada perbaikan atau mencegah memburuknya suatu keadaan. untukmemilih wilayah prioritas intervensi kegiatan Keluarga Berencana yang meliputi permasalahanseperti proses pemilihan yang memakan waktu lama dan memungkinkan terjadinya kesalahanmanusia, diperlukan sebuah sistem pendukung keputusan berbasis web yang dibangunmenggunakan metode Simple Additive Weighting (SAW).
SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMAAN BANTUAN PROGRAM SEMBAKO MENGGUNAKAN METODE SMART (SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE) (STUDI KASUS : DINAS SOSIAL KOTA BINJAI) Rahayu, Nur Aprilia; Ginting, Budi Serasi; Simanjuntak, Magdalena
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v5i1.719

Abstract

With the existence of policies provided by the government, especially in the field of Empowerment and Social Security in terms of providing basic food assistance programs for the underprivileged, it is necessary to determine who is eligible to receive this assistance. This assistance is given to underprivileged people to help meet their needs to improve their welfare. To help determine the selection of basic food assistance programs that receive the assistance, a Decision Support System (SPK) is needed. The method used in this research is the Simple Attribute Rating Technique (SMART) method. This method is a method that is often used to select several problems in the form of ranking. This method was chosen because the computation system is simple and easy to understand. From the results of the calculations that have been done, the ranking results with the highest value are Zuraida (A5) with a value of 0.8 and a percentage of the final value of 16.41% which is very suitable to receive non-cash assistance.
Reduksi Noise Pada Citra Menggunakan Metode Contrast Limited Adaptive Histogram Equalization Ginting, Darmawan; Simanjuntak, Magdalena; Saragih, Rusmin
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 1 No. 1 (2022): Mei 2022
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v1i1.1

Abstract

Technological developments have changed computers so that they can process various kinds of data such as sound, images, and so on. Image is a combination of points, lines, fields, and colors to create an imitation of an object, usually a physical object or a human. Even though an image is rich in information, often the image that is owned has decreased in quality, for example, contains defects or denoises. Decreasing image quality due to noise can reduce the information contained in an image. Noise is an acoustic, electrical, or electronic interference signal that is present in a system in the form of interference which is not the desired signal. Image processing that can be done by a computer consists of several types. Image quality improvement (image enhancement) is one of the fields of image processing that is quite popular. The application of image enhancement can improve the quality of the image which was initially blurred or not in accordance with the wishes of the owner for the better. One of the image enhancement methods that can be used is Contrast Limited Adaptive Histogram Equalization (CLAHE). The use of the CLAHE method can improve poor image quality by reducing noise in the image. The system is designed with the MATLAB R2014a programming application, after carrying out the testing process on several Google Maps images, it is found that the inputted "Certificate 1.jpg" image shows that changes in the image are good with reduced noise, so the resulting image has good quality. using the 2nd kernel weight (0, -1, 0; -1, 5, -1; 0, -1, 0).
DIKLAT MOTIVASI BERWIRAUSAHA SISWA SMK NUR AZIZI TANJUNG MORAWA: STMIK Kaputama Ambarita, Indah; Nur Kadim, Lina Arliana; Simanjuntak, Magdalena
Jurnal Abdimas Mutiara Vol. 3 No. 1 (2022): JURNAL ABDIMAS MUTIARA (In Press)
Publisher : Universitas Sari Mutiara Indonesia

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Abstract

Tidak ada bangsa yang sejahtera dan dihargai oleh bangsa lain tanpa kemajuan ekonomi. Kemajuan ekonomi bisa dicapai jika ada spirit kewirausahaan yang kuat dari masyarakatnya. Salah satu faktor yang menyebabkan suatu negara bisa maju yaitu ketika jumlah wirausahawan yang terdapat di negara tersebut berjumlah 2% dari populasi penduduknya. Di Indonesia ditemukan bahwa hampir 75% responden tidak memiliki rencana yang jelas setelah lulus. Tidak mengherankan jika setiap tahunnya selalu muncul pengangguran terdidik di Indonesia yang angkanya semakin meningkat. Terdapat kecenderungan bahwa lulusan SMK di Indonesia lebih senang milih bekerja nyaman, sementara lapangan kerja di sektor pemerintah dan sektor swasta tidak memungkinkan menyerap semua tenaga kerja lulusan SMK di Indonesia. Salah satu upaya dalam mengurangi tingkat pengangguran tinggi di Indonesia yaitu dengan menciptakan lulusan-lulusan SMK yang tidak hanya memiliki orientasi sebagai job seeker namun job maker atau yang disebut wirausaha. Untuk memulai menjadi seorang wirausaha, setiap siswa SMK harus memiliki impian yang kokoh yang dibangun tidak dalam waktu singkat. Impian ini sangat penting mengingat resiko dari wirausaha tidaklah kecil. Bila siswa SMK tidak memiliki impian yang kokoh maka sangat mungkin baginya untuk cepat menyerah. Konsep dasar yang harus disadari terlebih dahulu yaitu sukses itu bukan sebuah kebetulan, namun sukses itu by design.
Application of the K-Nearest Neighbor Method for Classification of Hypertension Diseases (Case Study: Stabat Health Center) Sari, Indah Kelana; Pardede, A M H; Simanjuntak, Magdalena
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.v4i1.601

Abstract

Globally, the WHO (World Health Organization) estimates that non-communicable diseases cause about 60% of deaths and 43% of diseases worldwide. Hypertension is a disease that occurs due to an increase in blood pressure in humans. It is difficult to know if a person has hypertension, without measuring the patient's blood pressure. According to the American Heart Association (AHA), the number of Americans over the age of 20 suffering from hypertension has reached 74.5 million, but nearly 90-95% of cases have no known cause. It is estimated that about 80% of the increase in hypertension cases will occur mainly in developing countries by 2025, from 639 million cases in 2000. This number is expected to increase to 1.15 billion cases in 2023. This study uses a quantitative approach with experimental methods to test the application of K-Nearest Neighbor (KNN) in the classification of hypertension diseases at the Stabat Health Center. The description of the results obtained is to make the right decision regarding when and how to treat the disease to prevent the worst possibility for patients by classifying the severity of hypertension both in normal circumstances, prehypertension, stage 1 hypertension, and stage 2 hypertension. The results of the trial show that the KNN model is able to provide accurate predictions based on patient history data available at Stabat Health Center.
Design and Build an IoT-Based Shoe Dryer Monitoring and Control System Apriandi Alfa Reza Saragih; Pardede, A M H; Simanjuntak, Magdalena
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.v4i1.672

Abstract

Wet shoes that are not dried immediately can lead to the growth of bacteria and fungi that can potentially damage the shoes and cause health problems in the user. Therefore, an effective and efficient shoe dryer is needed. This research aims to design and develop a monitoring and control system for shoe dryers based on the Internet of Things (IoT) that can be operated remotely through a web-based application or mobile device. The system consists of several main components, namely humidity and temperature sensors, microcontrollers, wireless communication modules, and heating elements. Humidity and temperature sensors are used to detect the condition of the shoe and the surrounding environment, while the microcontroller is in charge of processing the data and regulating the operation of the heating element as needed. With the wireless communication module, users can monitor and control the drying process in real-time through an application connected to the internet.
PENGELOMPOKKAN MENGGUNAKAN METODE CLUSTERING UNTUK PEMBERIAN OBAT PADA PASIEN BPJS Ariska, Dedek; Simanjuntak, Magdalena; Lubis, Imran
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.153

Abstract

BPJS Kesehatan merupakan badan hukum yang menyelenggarakan program jaminan Kesehatan yang dibentuk untuk menyelenggarakan jaminan sosial dinamakan Badan Penyelenggara Jaminan Sosial (BPJS). Pada saat ini Pemberian resep obat di rumah sakit juga dilakukan oleh dokter sesuai dengan standar yang sudah ditetapkan oleh rumah sakit berdasarkan penyakit yang diderita oleh pasien yang menggunakan jasa dari jaminan pelayanan kesehatan. Karena banyaknya pasien yang menggunakan jasa BPJS menyebabkan menumpuknya data-data pemberian obat pada pasien, sehingga menyulitkan pihak instansi dalam mengolah data pemberian obat pada pasien, masalah ini sering terjadi karena data yang tersimpan masih tercatat secara terpisah antara laporan pemberian obat dan laporan data pasien BPJS sehingga sangat sulit dalam mengetahui jumlah pemberian obat yang ada saat ini. Untuk itu diperlukan suatu sistem tambahan yang akan digunakan dalam pengelompokkan pemberian obat pada pasien BPJS menggunakan variabel - variabel yang sudah ditentukan dengan menggunakan metode clustering, agar nantinya dapat mempermudah admin dalam mengolah data dan informasi yang ada. Dari 20 data yang digunakan sebagai sampel didapatlah hasil yang dibagi menjadi 3 yaitu grup 1 terdapat 12 data dan 2 grup terdapat 3 data dan grup 3 terdapat 5 data. Dengan penjelasan dengan titik Centroid pada grup 1 yaitu (3.50) (16.58) (13.17) dapat diketahui bahwasannya pada cluster 1 kelompok pemberian obat pada grup usia (X) adalah 36-45 Tahun, dan untuk kelompok jenis penyakit (Y) yang dialami oleh pasien adalah Hipertensi dengan penanganan pemberian Resep obat (Z) yaitu Clonidin 0,15 tab.
Co-Authors Achmad Fauzi Adek Maulidya Agus Sapitri, Liana Ambarita, Indah Ana, Putri Annatasia, Kristina Apriandi Alfa Reza Saragih Ariska, Dedek Arliana, Lina Athaya, Fara Buaton, Relita Danisuwara, Ardiya Kansya Defita Br. Manurung, Sella Edelwais, Nurul Fauzan Akbar, Ahmad Fauzi Ahmad Muda Fauzi, Achmad Ginting, Budi Serasi Ginting, Darmawan Hasibuan, Layla Mutiara Imran Lubis Kadim, Lina Arliana Nur Kahfi Lanang Khadapi, Muammar Khair, Husnul Khairunisa, Salsabila MANURUNG, HOTLER Maulidina, Nadia Melda Pita Uli Sitompul Mirah, Alta Muammar Khadafi Nopita, Siska Novriyenni Novriyenni, Novriyenni Nurhayati Nurhayati Pardede, Akim Manaor Hara Pasaribu, Tioria Pramana, I Gusti Puspita Sari, Melani Putra, Andika Cahya Rahayu, Nur Aprilia Rahimah Faizah Rahmadilla, Semiati Ramadhani, Sisca Ratih Puspadini Roynaldi, Muhammad Rusmin Saragih, Rusmin Sari, Indah Kelana Satria R, Dandi Sawitri Sawitri Selfira, Selfira Sembiring, Arnes Sihombing, Anton Sihombing, Marto Sinaga, Ayu Puspita Sari Syahputra, Siswan Tarigan, Kiki Dea Ananda Yani Maulita Yulia Ningsih Yunika , Vica