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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal Information System Development ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science Majalah Ilmiah Warta Dharmawangsa JTIK (Jurnal Teknik Informatika Kaputama) JUKI : Jurnal Komputer dan Informatika Jurnal Manajemen Informatika Jayakarta Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Journal of Vision and Ideas (VISA) Jurnal Pengabdian Masyarakat IPTEK EXPLORER Bulletin of Multi-Disciplinary Science and Applied Technology Journal Of Human And Education (JAHE) Journal of Information Systems and Technology Research Sci-Tech Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Ulead : Jurnal E-pengabdian Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) JOURNAL OF ICT APLICATIONS AND SYSTEM Jurnal Teknik, Komputer, Agroteknologi dan Sains Zadama: Jurnal Pengabdian Masyarakat International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Pengabdian Pendidikan Indonesia (PPI) Jurnal Ilmu Komputer dan Sistem Informasi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Saturnus: Jurnal Teknologi dan Sistem Informasi KETIK : Jurnal Informatika Ulil Albab Pascal: Journal of Computer Science and Informatics Journal of Computer Science Artificial Intelligence and Communications Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak

Rusmin Saragih, Rusmin

STMIK Kaputama

Author-ID : 2547035

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Jaringan Syaraf Tiruan Untuk Memprediksi Jumlah Kebutuhan Ekspor Kopi Pada PT.Mulya Sari Mandiri Dengan Menggunakan Metode Backpropagation Rizki Kurniawan; Rusmin Saragih; Rahmadani Rahmadani
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Coffee is one of the most popular drinks for many people. Out of every three people, one is a coffee drinker. Coffee is really delicious if you drink it either in the morning or at night when work is piling up. PT. Mulya Sari Mandiri is a coffee factory that produces coffee, both dry coffee beans and coffee powder. The coffee obtained by this company comes from various regions such as Sumatra and Java. The coffee beans that enter from the sending area are then selected to get the best coffee. Many techniques and methods are applied in the forecasting process. In solving a problem in research, of course the researcher must have a way or a method that will be applied in solving the problem so that the research carried out can be completed properly and in accordance with the expected results. The research method is carried out to look for something systematically by using the scientific method and applicable sources. In the process of this research aimed at the PT. Mulya Sari Mandiri, especially in the area of predicting the number of coffee export needs by providing more meaningful results. The result description is an illustration of what the artificial neural network system looks like in predicting a data number of export requirements using the Backpropagation method. An overview of the results is usually made in the form of user interface design or interface design, a good design is directly proportional to the quality of the program, when the interface design is good, the quality of the program will also be good. From the results of research conducted at PT. Mulya Sari Mandiri greatly adds knowledge and insight, by collecting data related to the prediction of the amount of need for export coffee, From the input learning rate and maximum epoch, the Backpropagation method can be carried out with training or training with convergent results, namely with or target error achieved with iteration 3160 the training process (time) is 0.00.25 seconds, with a permomance value of 0.0999 for Arabica coffee and for the robusta type with iteration 4957 the training process (time) is 0.00.07 seconds, with a permomance value of 0.2. From the data on the number of export coffees used as training, training targets and test data, the Backpropagtion method can be recognized and produces predictions that the number of Arabica coffee will experience a total decrease from 2021 data of 1481 with predicted results of 1410 tons.

Mendiagnosa Penyakit Ginjal Menggunakan Metode Certainty Factor Ramos Parulian Ambarita; Rusmin Saragih; Husnul Khair
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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In the current era of technological advancement, rapid developments are occurring in Artificial Intelligence (AI), including the concept of Expert Systems. Expert Systems allow knowledge from experts in a field to be integrated into a computer programme to make intelligent decisions. The use of this technology, particularly in healthcare such as common kidney diseases, has great potential in diagnosis and treatment. As a vital organ, the kidney plays an important role in the body, but if it malfunctions, it can cause a number of problems. One method used to address uncertainty in expert thinking is Certainty Factor, which tests the certainty of data or facts. With AI and Expert Systems, it is hoped that healthcare services can be improved, supporting the treatment of kidney disease and other health problems.

SISTEM PAKAR DIAGNOSA PENYAKIT LEUKOSIT MENGGUNAKAN METODE DEMPSTER-SHAFER (STUDI KASUS : RSU AL FUADI BINJAI) Cindy Primadona Siahaan; Rusmin Saragih; Arnes Sembiring
Jurnal Manajamen Informatika Jayakarta Vol 3 No 3 (2023): JMI Jayakarta (Juli 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v3i3.1169

In English, contains the main issues, problems, research objectives, methods / approaches and research Leukocytes are the largest blood cells, consisting of granulocytes and agranulocytes. Granulocytes (have granules) include neutrophils, eosinophils, and basophils. There are several problems that occur if there are abnormalities in blood cells that can cause problems for eosinophils, basophils, neutrophils, lymphocytes and monocytes. To find out the symptoms, the patient must see or have himself checked by a specialist in internal medicine. RSU Al Fuadi Binjai is one of the institutions that handles problems in patients with leukocyte disease. Internal medicine specialists are only able to make a diagnosis based on experience or the results of studies in the past that have occurred, but there are several obstacles in meeting a specialist doctor who treats leukocyte disease, including: long distance from the hospital, minimal costs, and lack of free time and others. Therefore, it is very necessary to have a system that can become information and alternative media for experts in diagnosing leukocyte disease, so that patients who have previous symptoms can get information and consultation more quickly through a system that has been created using the Dempster Shaper method, and get early action in knowing leukocyte disease through the symptoms experienced by the patient. The purpose of this study is to design and build a leukocyte disease diagnostic system using the Dempster Shafer method. Based on research conducted on selected symptoms, the most accurate diagnosis is monocyte disease with a confidence level of 0.9078 or 90.78% if used as a presentation.

Implementation Of Data Mining Grouping Of Old Age Guarantee (Jht) Based On Region In Pandemic Period tata, tatamustikadewi; Saragih, Rusmin; Syahputra, Siswan
Journal of Information Systems and Technology Research Vol. 1 No. 2 (2022): May 2022
Publisher : Ali Institute or Research and Publication

During the COVID-19 pandemic, many companies experienced a decline or went bankrupt, so they had to reduce the number of workers and even close the company. BPJS Ketenagakerjaan is a public legal entity that is responsible to the president and functions to administer four programs, namely Work Accident Insurance (JKK), Death Insurance (JKM), Old Age Security (JHT), with the addition of the Pension Guarantee program ( JP). One of them is the submission of claims from too many participants of the Old Age Security program from various regions, especially the Langkat sub-district, so that it becomes a big problem to provide good service or information for the participants. For this reason, the author tries to create a system to support a computerized grouping process that can help automatically classify JHT claims by region, so there is an opportunity to design a grouping data mining system in it. Data mining is a process of mining data in very large amounts of data using statistical, mathematical methods, to utilize the latest artificial intelligence technology. Clustering is a method that is applied in creating a grouping data mining system to make it easier for employees to group JHT by region. Based on the analysis that has been done in the grouping of old-age insurance data using the clustering method, it is necessary to do the cluster process several times to get the same results according to the process that was first carried out, namely in cluster 1 : 2 3 2 cluster 2 : 2 8 2, cluster 3: 2 13 2 with 545 data in cluster 1, 308 data in cluster 2 and 421 data in cluster 3.

Sistem Pendukung Keputusan Pemilihan Pegawai Non-PNS Terbaik di Dinas Pengendalian Penduduk Dan Keluarga Berencana Kota Binjai Menggunakan Metode Moosra Dan Roc Rianty Zabitha Siregar; Relita Buaton; Rusmin Saragih
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 2 No. 4 (2024): November : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v2i4.2454

Employee evaluations within an organization are efforts to measure and motivate employees to enhance their skills and abilities. These evaluations are expected to help the organization assess and identify improvements or developments in employee capabilities to support the organization in achieving its goals. The evaluations are anticipated to produce fair and transparent results that are acceptable to all parties involved. The rapid advancement of information technology has brought changes to the employee evaluation process. Specifically, the Population Control and Family Planning Office of Binjai City requires a system that can assist in evaluating the performance of its non-permanent employees. There are various methods that can be used in designing a system to produce the best decisions. Among them is the MOOSRA (Multi-Objective Optimization on the Basis of Simple Ratio Analysis) method, which is one of the multi-objective optimization techniques used in decision support systems. The MOOSRA method is similar to the MOORA method but differs in performance score determination: MOORA uses a reduction operator, while MOOSRA relies on calculations based on criteria and alternative division operators. MOOSRA performs calculations based on the provided criteria and alternatives. To determine the weight of each criterion, the ROC (Rank Order Centroid) method is employed, which assigns weights to each criterion based on their ranking and priority levels. This ensures that the evaluation of non-permanent employees at the Population Control and Family Planning Office of Binjai City produces the best results. The MOOSRA and ROC methods can be used to build a decision support system that delivers optimal evaluations of non-permanent employees. Awarding the title of "best employee" can enhance morale and motivation among employees in achieving the organization's previously established goals. The selection of the best non-permanent employee must be conducted fairly and transparently so that the results are accepted by all non-permanent employees of the Population Control and Family Planning Office of Binjai City. A decision support system performs calculations based on established criteria for each alternative and provides recommendations that can help leadership make the best decisions. The MOOSRA method is a decision support system technique that uses multi-criteria analysis in its calculations, while the ROC method aids in determining the weight of criteria based on their priority.

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

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

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.

IMPLEMENTASI DAN ANALISIS DATA MINING UNTUK PENCARIAN POLA PENYEBAB KECELAKAAN LALU LINTASDENGAN METODE APRIORI Saragih, Rusmin
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v1i2.747

Meningkatnya jumlah kecelakaan lalu lintas dari tahun ke tahun membutuhkan perhatian dan penganggulangan yang serius yang mana mengingat kecelakaan lalu lintas menjadi faktor pembunuh yang cukup tinggi. Penanggulangan kecelakaan lalu lintas dapat dilakukan dengan melakukan langkah – langkah pendekatan seperti sosialisasi dan pengawasan terhadap rambu – rambu serta trafik pada jalan raya. Untuk dapat mencari solusi penanggulangan yang tepat maka diperlukan informasi mengenai kecelakaan lalu lintas yang terjadi. Dengan informasi kecelakaan lalu lintas yang tepat maka dapat diambil langkah-langkah penanggulangan yang efektif sehingga dapat menurunkan angka kecelakaan lalu lintas yang terjadi. Dengan menggunakan apriori maka dapat diperoleh pasangan – pasangan item yang sering muncul sehingga dapat diperoleh pola keterkaitan dari item – item tersebut. Berdasarkan hasil analisa apriori diperoleh variabel – variabel yang berkaitan dengan kecelakaan lalu lintas di polresta Kota Medan.

Data Mining Klasterisasi Aduan Masyarakat Kota Binjai Menggunakan Algoritma K-Means Dimas Prayogi; Yani Maulita; Rusmin Saragih
Indonesian Journal of Science, Technology and Humanities Vol. 1 No. 2 (2023): IJSTECH - October 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/ijstech.v1i2.120

Menerapkan metode K-Means dalam data mining untuk menganalisis aduan masyarakat Kota Binjai yang diterima oleh Satpol PP. Dengan metode ini, data aduan dapat dikelompokkan ke dalam klaster-klaster yang memiliki karakteristik serupa. Hal ini membantu dalam memahami pola aduan dan potensi masalah yang mungkin muncul di masyarakat. Membangun sistem data mining untuk aduan masyarakat di kantor Satpol PP Kota Binjai. Ini akan mencakup pengumpulan data, pemrosesan data, klasterisasi, dan penyajian hasil. Dengan adanya sistem ini, Satpol PP dapat terus memantau dan memahami dinamika aduan masyarakat secara lebih efisien. Dari 402 pengelompokan data Pengaduan berdasarkan Kelurahan, aduan dan Tindakan terdapat 4 group, dimana kelompok yang terbanyak pada pengujian pertama ini berada pada cluster 1 dengan jumlah 120 data pada group dengan pusat centroid 34.20, 6.97, 2.40 yaitu kelurahan tangsi aduan Pembangunan tanpa IMB dan Tindakan melakukan evaluasi. cluster 2 dengan jumlah 78 data pada group dengan pusat centroid 20.67, 12.69, 1.92 yaitu kelurahan pekan binjai aduan orang mabuk meresahkan dan Tindakan melakukan evaluasi. cluster 3 dengan jumlah 118 data pada group dengan pusat centroid 16.19, 3.73, 2.63 yaitu kelurahan mencirim aduan manusia silver dan Tindakan melakukan penertiban. . cluster 4 dengan jumlah 86 data pada group dengan pusat centroid 4.14, 7.58, 2.47 yaitu kelurahan binjai estate aduan Razia hotel dan Tindakan melakukan evaluasi

Pelatihan Peningkatan Kompetensi Guru dalam Penggunaan Canva untuk Pembelajaran Berdiferensiasi pada Kurikulum Merdeka Gultom, Imeldawaty; Saragih, Rusmin; Pakpahan, Emma Martina
Pengabdian Pendidikan Indonesia Vol. 2 No. 01 (2024): Artikel Riset Periode April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ppi.v2i01.4528

Pelatihan peningkatan kompetensi guru dalam penggunaan Canva untuk pembelajaran berdiferensiasi di SMP Swasta Primbana Medan bertujuan untuk memperkuat keterampilan guru dalam memanfaatkan teknologi untuk mendukung implementasi Kurikulum Merdeka. Kegiatan ini berangkat dari kebutuhan untuk meningkatkan kualitas materi pembelajaran dan keterlibatan siswa melalui penggunaan alat digital yang inovatif. Pelatihan ini melibatkan sesi teori dan praktik yang dirancang untuk mengenalkan fitur Canva dan aplikasinya dalam pembuatan materi ajar yang visual dan interaktif. Metodologi yang digunakan dalam pelatihan ini mencakup pendekatan kualitatif dan kuantitatif. Data dikumpulkan melalui wawancara, kuesioner, observasi, dan analisis dokumen untuk menilai peningkatan keterampilan guru dan kualitas materi pembelajaran yang dihasilkan. Hasil dari pelatihan menunjukkan peningkatan signifikan dalam keterampilan guru dalam menggunakan Canva, yang berdampak positif pada kualitas materi pembelajaran. Guru-guru di SMP Swasta Primbana Medan kini dapat menciptakan materi yang lebih menarik dan sesuai dengan kebutuhan siswa, yang pada gilirannya meningkatkan keterlibatan dan motivasi siswa. Pelatihan ini juga berhasil membentuk komunitas belajar di kalangan guru, di mana mereka saling berbagi pengetahuan dan pengalaman dalam penggunaan Canva. Temuan ini menunjukkan bahwa integrasi teknologi seperti Canva dapat mendukung pembelajaran berdiferensiasi dan pelaksanaan Kurikulum Merdeka dengan lebih efektif. Rencana tindak lanjut meliputi pendampingan berkelanjutan dan pengembangan modul pelatihan tambahan untuk memperkuat kemampuan guru dalam memanfaatkan teknologi pendidikan.

Co-Authors , Eka Putra Abdul Azan Abdul Azan Abdullah Hamid, Abdullah Abdullah Husein Achmad Fauzi ACHMAD FAUZI Alfina Damayanti Ambarita, Indah Andini Andini Andre Adrian Andrean Samuel Siahaan Aprilianda, Dinda Arianta Bangun Arnes Sembiring Asih, Munjiat Setiani Barany Fachri Boyke Gunawan Manurung Br Sitepu, Dinda Isabella Buaton, Relita Chairul Rizal Charles Jhony Mantho Sianturi, Charles Jhony Mantho Cindy Primadona Siahaan Damayanti, Fera Dandi Satria R Deni Apriadi Dewantara, Nowell Dimas Prayogi Dinda Firdawati Simamora Divi Handoko Eka Pandu Cynthia Eka, Muhammad Fany Juliawati Fatimah Fatmaira, Zira Fauzi, Achmad frans ikorasaki Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Gea, Fide Evianti Ginting, Darmawan Gultom, Imeldawaty Handoko, Divi Herdiansyah Harahap Herdiansyah Harahap Hesty Vitara I Gusti Prahmana Ikhsan Arif Indra Prasetia, Indra Irfan Yusuf Ismi Asmita Jesayas Sembiring Khair, Husnul Khalidy, Furqan Lestari, Yuyun Dwi Lili Musarofah Lili Musarofah Loo, Petrus Magdalena Simanjuntak Magdalena Simanjuntak Magdalena Simanjuntak Mardiah Marto Sihombing Marto Sihombing Meisaroh Melda Pita Uli Sitompul Mhd Ferdiansyah Putra Mili Alfhi Syari Muhammad Danil Syahputra Muhammad Danil Syahputra Muhammad Eka Muhammad Eka Muhammad Noor Hasan Siregar Muhammad Reza Habibi Muhammad Zen, Muhammad Munadi Munadi Nadia Nurhafiza Nasril Hidayat Nico Kurniawan Purba Nikous Soter Sihombing Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurlaila Nurlaila Nurlaila Nurlaila Nuryahati - Pakpahan, emma martina Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rafli Fitriawan Rahayu Utami Rahmadani Rahmadani Rahmawati Rahmawati, Rahmawati Raihan, Muhammad Ramadani, Suci Ramli Ramli Ramos Parulian Ambarita Ratih Puspadini Rianty Zabitha Siregar Ricky Ramadhan Harahap Rizki Kurniawan Ryan Hidayat Sari Suwandi, Ema Saripurna, Darjat Satria R, Dandi SELVY ANGGRAINI, SELVY Sihombing, Anton Sihombing, Marto Simanjuntak, Magdalena Sinaga, Ayu Puspita Sari Sirait, Win Gomgom Parsaulian Siswan Syahputra Sitepu, Ruine Buana Br SITORUS, ERBIN Sonadi Perangin Angin Suci Pratiwi, Kiki Supiyandi Supiyandi Syahputra, Siswan Syari, Milli Alfhi Tantia Azzahra Tata Mustika Dewi tata, tatamustikadewi Theodora MV Nainggolan Ulandari, Seri Wati, Sri Kesuma Yani Maulita Yekolya Anatesya Yessi Fitri Annisah Lubis Yulia Ningsih Yusuf Afani Yuyun Dwi Lestari

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