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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Applied Data Sciences JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Journal of Social Responsibility Projects by Higher Education Forum KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) EXPLORER Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Pengabdian Masyarakat Inovasi Jurnal Bangun Abdimas Jurnal Informatika dan Teknologi Informasi Buletin Ilmiah Informatika Teknologi DUNIA KEPERAWATAN: JURNAL KEPERAWATAN DAN KESEHATAN Jurnal Pengabdian Harapan Bangsa Jurnal Teknologi Ilmu Komputer Jurnal INFOTEL Portal Riset dan Inovasi Sistem Perangkat Lunak Journal of Decision Support System Research Jurnal Mitra Pengabdian Farmasi
Abdul Karim
Universitas Labuhanbatu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Autoimun Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Suryadi, Sudi; Purba, Elvitrianim
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3407

Abstract

Autoimmune diseases are caused by the failure of the immune system to attack the body itself. According to data from the US Department of Health and Human Services, more than 23.5 million Americans have an autoimmune disease, which is difficult to diagnose because of the variety of symptoms it presents. Therefore, the development of mechanisms to identify autoimmune disorders is essential. One of the developing technologies in this field is the use of expert systems in diagnosing diseases. An expert system is a system developed by experts using science-based technology. In order to use it effectively, proper methods are needed, such as the Bayes Theorem approach, described by Thomas Bayes, a priest. The Bayes Theorem approach explains the relationship between the probability of event A and event B based on available information. This study attempts to facilitate the diagnosis of autoimmune diseases by using an expert system and Bayes' Theorem technique. With a confidence level of 0.57 or 57%, the examination results show that the patient suffers from an autoimmune disease of the type Hemolytic Anemia (HA) based on the patient's input
Analisa Penerapan Metode MABAC dengan Pembobotan Entropy dalam Penilaian Kinerja Dosen di Era Society 5.0 Ahyuna, Ahyuna; Rahman, Ben; Nugroho, Fifto; Nirawana, I Wayan Sugianta; Karim, Abdul
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3511

Abstract

In the era of society 5.0, it is very influential on the education sector which is experiencing increasingly sophisticated technological changes, so that lecturers are expected to be able to combine learning with technology so that students' insight into technology is growing. However, in the case of a performance appraisal process, several problems often occur because the large number of lecturers will affect the time of the performance appraisal process. In assessing the performance of lecturers in the era of society 5.0, there are several criteria including Dynamic, Innovative, Number of Scientific Publishes, Discipline and Digital Skills. Therefore, the author applies a MABAC and ENTROPY method in order to find accurate and logical results. So with that, the author adopted a method and produced the highest ranking, namely on behalf of Dito Putro Utomo with a total value of 0.39925
Sistem Pendukung Keputusan Pemilihan Sales Supervisor Menerapkan Metode EDAS berdasarkan Pembobotan ROC Purnama, Iwan; Zulkifli, Zulkifli; Nasution, Muhammad Bobbi Kurniawan; Karim, Abdul; Trianovie, Sri
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3558

Abstract

Sales is a job that aims to sell a product in the form of goods, services and others and provide the best service to consumers or buyers. Sales will work optimally if managed properly. The person who works to manage sales work is a sales supervisor. Sales Supervisor is someone who is responsible for managing the work procedures of each sales person under his control. A supervisor is required to be able to control every task implementation of a salesperson. If the company hires someone who is not qualified to be a sales supervisor, it will cause losses. So to determine the sales supervisor, a system is needed that will help select good and quality sales supervisor candidates according to the criteria set by the company. The right system to assist companies in making elections is SPK. Decision support system (DSS) is a system that is deliberately created to assist certain parties in making decisions with quality and objective results. SPK requires a method. In this study the method used is the EDAS method. The EDAS method has a function, namely to produce a ranking value by implementing mathematical formulations correctly according to the rules. The mathematical formulation is systematically arranged by experts and produces a ranking value which will eventually be assembled into an accurate decision. From the results of this study, a value of 0.5348 was obtained by Mandala as an alternative to B7, which is the best sales supervisor candidate
Implementasi Metode K-Nearest Neigbours (KNN) Untuk Klasifikasi Penyakit Diabetes Siagian, Yessica; Hutahaean, Jeperson; Zikra Syah, Arridha; Efendi Hutagalung, Jhonson; Karim, Abdul
Jurnal Informatika dan Teknologi Informasi Vol. 2 No. 3: Januari 2024
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jt.v2i3.331

Abstract

Penelitian ini mengeksplorasi peran teknologi informasi dalam upaya pencegahan penyakit diabetes melalui prediksi risiko menggunakan metode machine learning. Diabetes, sebagai penyakit kronis yang memiliki dampak serius pada kesehatan, dapat diprediksi berdasarkan variabel seperti Glucose, Blood Pressure, dan BMI. Metode K-Nearest Neighbours (KNN) digunakan untuk membandingkan dengan model Decision Tree dan Naïve Bayes dalam memprediksi risiko diabetes. Data penelitian melibatkan tahapan Data Preprocessing, Data Visualization, Pembagian Data, dan Model Machine Learning, dengan evaluasi menggunakan metrik Accuracy. Hasil pengujian menunjukkan bahwa model Decision Tree memberikan kinerja terbaik, terutama pada rasio data 80:20 dan 70:30. Penelitian ini menggarisbawahi pentingnya penerapan teknologi informasi dan machine learning dalam pencegahan penyakit diabetes dengan fokus pada prediksi risiko.
Pemanfaatan Digital Marketing Dengan Facebook Ads Bagi Pelaku UMKM Di Labuhanbatu Karim, Abdul; Fadlina, Fadlina; Ginting, Garuda
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 2 No. 1: Januari 2022
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.716 KB) | DOI: 10.58369/jpmg.v2i1.52

Abstract

Labuhanbatu memiliki banyak potensi dan produk yang dihasilkan masyarakatnya. Pelaku UMKM dalam melakukan pemasaran produknya secara konvensional dan belum melakukan pemasaran produk melalui digital marketing. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk : 1) memberikan wawasan tentang konsep digital marketing dan produk-produk teknologi yang digunakan untuk pemasaran produk, 2) memberikan pelatihan dan simulasi tentang penggunaan media digital dalam pemasaran produk, 3) menyusun pesan persuasif efektif, dan 4) memberikan solusi untuk mewujudkan pelaku UMKM untuk mempromosikan produk melalui media digital. Kegiatan pengabdian dilakukan dengan menggunakan metode FGD, pelatihan dan pendampingan. Secara umum, kegiatan pengabdian kepada masyarakat berjalan dengan baik dan dapat meningkatkan pengetahuan masyarakat dari nilai ratarata 7 menjadi 9 atau meningkat 23,26%. Kegiatan pelatihan dan pendampingan ini sangat baik dan tepat sasaran. Dari kegiatan ini, masyarakat mulai 1) memahami konsep digital marketing dan produk-produk teknologi yang dapat digunakan untuk pemasaran produk UMKM, 2) melatih dan mensimulasikan pemasaran produk UMKM dengan menggunakan media digital seperti facebook ads.
Pelatihan Komputer dalam Peningkatan Sumber Daya Manusia Bagi Perangkat Desa Karim, Abdul; Kusmanto; Suryadi, Sudi; Febriani, Budi
Jurnal Pengabdian Harapan Bangsa Vol. 2 No. 2: Mei 2024
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jphb.v2i2.198

Abstract

Computer training plays an important role in improving human resources (HR) of village officials. This research aims to explore the impact of computer training on the ability and work efficiency of village officials. The methods used include surveys before and after training, direct observation, and in-depth interviews. The research results show that computer training significantly improves the technical skills of village officials, which contributes to increased productivity and services to the community. This training also builds self-confidence and increases technological understanding, which is important for adapting to increasingly digital work demands. Thus, computer training has proven to be an effective strategy in developing the human resource capacity of village officials, which, in turn, contributes to overall village progress and development.
Sosialisasi Anti Narkoba dan Pencegahan Seks Bebas Sebagai Upaya Pembentukan Generasi Muda Sehat dan Berakhlak Indrayani, Puput; Siddik Siregar, Anwar; Vita S. Siregar, Siony; Christiorenfa Br Haloho, Agatha; Sartika Br Siregar, Amanda; Zebua, Yuniman; Karim, Abdul
Jurnal Pengabdian Harapan Bangsa Vol. 2 No. 3: September 2024
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jphb.v2i3.251

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas program sosialisasi anti narkoba dan pencegahan seks bebas dalam upaya pembentukan generasi muda yang sehat dan berakhlak. Program ini melibatkan serangkaian kegiatan edukasi dan penyuluhan yang dirancang untuk meningkatkan kesadaran dan pengetahuan remaja mengenai dampak negatif narkoba dan perilaku seks bebas. Metode penelitian yang digunakan meliputi survei, wawancara, dan analisis data pre-test dan post-test untuk menilai perubahan pemahaman dan sikap peserta sebelum dan sesudah mengikuti program. Hasil penelitian menunjukkan bahwa adanya peningkatan yang signifikan dalam pengetahuan dan sikap positif terhadap pencegahan narkoba dan seks bebas setelah mengikuti sosialisasi. Penelitian ini menyimpulkan bahwa sosialisasi yang terstruktur dapat berkontribusi dalam pembentukan generasi muda yang lebih sehat dan berakhlak, serta merekomendasikan penerapan program serupa di berbagai lingkungan pendidikan dan komunitas.
Penerapan Teknik Ecoprint Berbasis Dedaunan Untuk Meningkatkan Nilai Tambah Produk Kerajinan Lokal Cheylani Lukito, Salwa; Dayu Sari, Arini; Triana, Dewi; Dhea Ananda, Tasya; Indah Sari, Leni; Zebua, Yuniman; Karim, Abdul
Jurnal Pengabdian Harapan Bangsa Vol. 2 No. 3: September 2024
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jphb.v2i3.252

Abstract

Penelitian yang berjudul “Penerapan Teknik Ecoprint Berbasis Dedaunan Untuk Meningkatkan Nilai Tambah Produk Kerajinan Lokal di SMPN 1 Aek Natas ini dilatarbelakangi masih kurangnya minat siswa dalam mengikuti kegiatan pembelajaran guna untuk mengembangkan kreativitasnya sehingga dibutuhkan inovasi dalam proses pembelajarannya untuk itulah peneliti berinisiatif menggunakan media ecoprint sebagai media untuk menigkatan kreativitas anak dalam Produk Kerajinan Lokal. Berdasarkan latarbelakang tersebut sehingga dapat dirumuskan bagaimana Penerapan yang dilakukan mahasiswa kkn pada siswa SMPN 1 Aek Natas menggunakan Teknik Ecoprint Berbasis Dedaunan Untuk Meningkatkan Nilai Tambah Produk Kerajinan Lokal? Ecoprint merupakan salah satu teknik pewarnaan yang menggunakan bahan pewarna alam. Tujuan penelitian ini adalah untuk mengetahui Penerapan Teknik Ecoprint Berbasis Dedaunan Untuk Meningkatkan Nilai Tambah Produk Kerajinan Lokal di SMPN 1 Aek Natas. Jenis Penelitian ini merupakan penelitian kualitatif dengan pelatihan dan pendampingan ecoprint di atas media kain dengan bahan pewarna alam. Alat pengumpul data terdiri dari observasi dan dokumentasi. Teknik pengumpulan data instrumen yang digunakan dalam observasi berupa dokumentasi menggunakan kamera foto untuk mendokumentasikan segala aktivitas siswa selama kegiatan. Hasil penelitian didapati bahwa Kegiatan ini dapat meningkatkan Nilai Tambah Produk Kerajinan Lokal siswa tentang nilai ekonomi berupa kain ecoprint yang bernilai seni tinggi. Terbentuknya peluang bisnis produk ecoprint yang masih jarang ditemukan dapat memperkaya potensi unggulan kecamatan Wonocolo. Luaran kegiatan ini adalah berkembangnya kreatifitas warga dalam membuat produk ecoprint di media kain ditandai dengan meningkatnya pengetahuan dan ketrampilan dan terbentuknya peluang usaha ecoprint.
Pengembalian Data Yang Hilang Pada Dataset Dengan Menggunakan Algoritma K-Nearest Neighbor Imputation Data Mining Bangun, Budianto; Karim, Abdul Karim
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.8014

Abstract

One of the things that is really hoped for when collecting data is to produce complete data. In research, incomplete data will affect the results obtained. because the process carried out in the research was not optimal. A dataset is a collection of information that is stored for a long time and becomes a large pile of data. Missing values in the dataset will be an important problem and must be handled in research. Therefore, data recovery is needed. Data mining is a process carried out in computer research. Where data mining will process data that has been collected first, either data collected by yourself (primary data) or data that has been collected in a dataset (secondary data). Recovery is the process of recovering data that is lost or cannot be found. The K-Nearest Neighbor Imputation algorithm is a system that uses a supervised learning algorithm and aims to discover new data patterns by connecting existing data patterns with new data. KNNI is an approach used to identify objects based on certain information, namely the closest distance to the object
Penerapan Data Mining Untuk Pengelompokan Terhadap Kualitas Kinerja Karyawan Dengan Menggunakan Algoritma K-Medoids Clustering Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Hidayatullah, Muhammad; Suryadi, Sudi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7445

Abstract

HR management is recognized as a global issue and an integral part of competitiveness in the arena of globalization. The organizational structure is the placement of tasks from the very top to the placement of very basic tasks. Assessing the quality of employee performance is one of the work evaluation sessions that can provide the best for industry and citizens. In position placement, if someone does not suit the position they have, it will cause problems such as the company's operational processes not running well. Performance appraisal of employees aims to see the performance results that have been carried out or given by employees when occupying a position. Problems related to performance appraisal are important problems that must be resolved immediately. Data mining is a data processing process in the past, where data in data mining is a collection of data that has been collected over a certain period of time. Information data mining is a series of processes for exploring added value in the form of data produced by extracting and identifying patterns in an information base. Clustering is a part of data mining that aims to group based on the formation of new clusters. The K-Medoids algorithm is a partitional clustering procedure that minimizes the distance between labeled points. The K-Medoids algorithm is a classic Clustering partition technique that groups data sets of ni objects into k groups known a priori. From the results of research conducted using the K-Medoids method, 3 clusters were obtained. Where in cluster 1 there are 4 employees, in cluster 2 there are 3 employees and in cluster 3 there are 3 employees.
Co-Authors Afrendi, Mohammad Agustina Sidabutar Agustina, Asri Widya Ahyuna Ahyuna, Ahyuna Aldiansyah, Ferry Alfarisi Pasaribu, Ahmad Ambiyar, Ambiyar Andi Ernawati Andi Ernawati Andriani, Titi Aritonang, Putri Armasari, Selly Arridha Zikra Syah Asyahri Hadi Nasyuha Awfa, Qifari Bangun, Budianto Bernadus Gunawan Sudarsono Bobbi Kurniawan Nasution, Muhammad Cheylani Lukito, Salwa Christiorenfa Br Haloho, Agatha Daulay, Nelly Khairani Dayu Sari, Arini Dhea Ananda, Tasya Dito Putro Utomo Efendi Hutagalung, Jhonson Efendi, Safri Fadli, Muhammad Bagus Fadlina Fahmi Rizal Febriani, Budi Fifto Nugroho Garuda Ginting Harahap, Armyka Pratama Hasibuan, Awaludin Heni Pujiastuti Hersatoto Listiyono Hidayatullah, Muhammad I Wayan Sugianta Nirawana Imam Saputra Indah Sari, Leni Indrayani, Puput Iwan Purnama Iwan Purnama Jeperson Hutahaean Kraugusteeliana Kraugusteeliana Kurniawan Nasution, Muhammad Bobbi Kusmanto Kusmanto Kusmanto Kusmanto M. Rafi Mardinata, Erwin Marha As, Pawa Niassa Meryance Viorentina Siagian Mesran, Mesran Mhd Ali Hanafiah Mhd Bobbi Kurniawan Nasution Moustafa H. Aly Muhammad Bobbi Kurniawan Nasution Muhammad Hamka Muhammad Syahrizal Nababan, Dosmaida Nasution, Mhd Bobbi Kurniawan Nasution, Muhammad Bobbi Kurniawan Natalia Silalahi Nona Oktari Nurlela Nurlela Nurliadi Pane, Rahmadani Pane, Siddik Pohan, Tatang Hidayat Poningsih Pratama, Armyka Prayetno, Sugeng Purba, Elvitrianim Purba, Elvitrianim Putra Juledi, Angga Putri, Nathania Rahman, Ben Rizal, Chairul Rohani Rohani Saidi Ramadan Siregar Saludin Muis Sartika Br Siregar, Amanda Sempurna, Teguh Shinta Esabella Siagian, Yessica Siddik Siregar, Anwar Sinulingga, Raja Ingata Siregar, Feby Khairunnisya Siti Sahara Nasution Soeb Aripin Suha Alvita Suhada, Karya Sundari Retno Andani Supiyandi Supiyandi Suryadi, Sudi Sutrino Dwi Raharjo Syahputra Harahap, Hasmi Tengku Mohd Diansyah, Tengku Mohd Triana, Dewi Trianovie, Sri Trianovie, Sri Unung Verawardina Uswatun Hasanah Vita S. Siregar, Siony Wilson, Eric Yessica Siagian Yulizar, Isma Ahmad Zebua, Yuniman Zulham Sitorus Zulkifli Zulkifli Zuly Budiarso