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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Penelitian Komunikasi dan Opini Publik Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ilmiah Matrik Sebatik Building of Informatics, Technology and Science TEPIAN Buletin Poltanesa Informatika Wicida Jurnal Nasional Teknik Elektro dan Teknologi Informasi JURNAL MUARA PENDIDIKAN Abadi: Jurnal Ahmad Dahlan Mengabdi Jurnal Lentera Pengabdian ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat

Reza Andrea

Politeknik Pertanian Negeri Samarinda, Samarinda

Author-ID : 621342

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Penerapan Algoritma K-Medoids Untuk Pengelompokan Data Penerima Bantuan Uang Kuliah Tunggal Bagi Mahasiswa Terdampak Covid-19 Andrea, Reza; Nursobah, Nursobah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The ongoing Covid-19 pandemic period greatly affects various aspects of life, one of which is the issue of the economy. This problem has an impact on the field of education, one of which is at the university level. where many students whose parents/insurers of tuition fees are experiencing financial constraints due to the impact of the Covid-19 pandemic. So we need an effective way as a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the group of UKT recipients. There are many ways that can be used, one of which is by utilizing data mining to group data for students who are entitled to get UKT using the K-Medoids method. The application of the K-Medoids method is used to group data on students who are eligible to receive UKT assistance funds with the aim of being a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the UKT recipient group for the university. Whatever the results of the application of the K-medoids method, a group that deserves to be recommended is based on the results of Cluster / Grouping 0 with a total student data of 8 people based on the results of consideration of the criteria used, namely Parents' Occupation, Home Ownership Status and Parents' Income

Penerapan Algoritma K-Medoids Clustering Dalam Pembentukan Zona Cluster Vaksin Boster Lialiyah, Siti; Andrea, Reza
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The effects of the COVID-19 virus pandemic are quite bad for people's lives both in Indonesia and especially in North Sumatra. The spread of the virus is quite fast from the interaction of every community, causing the government to make policies to limit the activities of each community. In addition to policies in limiting community activities, the government also makes policies by distributing vaccines for free to every community starting from the first vaccine, the second and last vaccine is the third vaccine (booster). The purpose of the vaccine itself is to stimulate the body's antibodies to recognize the weakened virus in the vaccine. The aim of the vaccine is to slow the spread of the virus itself. The third vaccine (booster) is a complementary vaccine given by the government so that antibodies can completely inhibit a person from being affected by the COVID-19 virus. Therefore, it is necessary to accelerate the process of administering the third vaccine (booster). This can be done by forming clusters in each region. The purpose of forming clusters is to be able to identify priority areas that should be given the third vaccine (booster). Therefore we need a technique that is able to group/cluster the third vaccine administration zone (booster). One technique that can be used is the K-Medoids Algorithm. The expected results of the research using the K-Medoids Algorithm are able to form a cluster zone which will later be able to find out which areas are the priority for giving the third vaccine (booster).

PROGRAM PENGABDIAN MASYARAKAT: ALAT BANTU BELAJAR ILMU BATUAN BERBASIS ANDROID PADA KELAS GEOLOGI TAMBANG SMK NEGERI 1 SENDAWAR Afriany, Joli; Andrea, Reza; Yulsilviana, Ekawati; Wijayanti, Sefty; Nabile, Daniel
Sebatik Vol. 22 No. 2 (2018): DESEMBER 2018
Publisher : STMIK Widya Cipta Dharma

Pembelajaran berbasis multimedia adalah pembelajaran yang dalam proses pembelajarannya menggunakan media aplikasi multimedia dengan tujuan untuk menyalurkan pesan pengetahuan, pengetahuan dan sikap serta dapat merangsang pikiran, perasaan perhatian dan kemauan untuk belajar. SMK Negeri 1 Sendawar sekolah kejuruan dengan program keahlian jurusannya adalah Geologi Tambang. Dalam hal media penyampaian ke peserta didik digunakan buku-buku yang berhubungan langsung dengan ilmu batuan namun kadang kala siswa/i tidak memahami secara detail materi yang disampaikan sehingga pada pada tingkat yang lebih tinggi siswa terkadang harus mengulang dari awal memahami materi tentang ilmu batuan. Kegiatan pengabdian pengembangan alat belajar ini dibuat dengan dua tahap yaitu desain program menggunakan software Swishmax 4 dan Eclipse Indigo sebagai converter menjadi .apk. Tahapan kegiatan pengumpulan data untuk pengembangan aplikasi ini menggunakan metode observasi, wawancara dan studi pustaka. Berdasarkan hasil kegiatan pengabdian yang telah dilakukan diperoleh kesimpulan bahwa alat bantu belajar ilmu batuan berbasis android ini telah berhasil dibuat dan membantu pembelajaran di kelas geologi tambang.

TURNOVER ANALYSIS OF NURSES IN SANTA FAMILIA HOSPITAL Nurhasanah, Nurhasanah; Hurang, Christianus Natalis; Andrea, Reza
Sebatik Vol. 27 No. 1 (2023): Juni 2023
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v27i1.1504

Job satisfaction was an emotional state in which an employee felt that tasks or work, superiors, work situation, and organization were enjoyable. Job satisfaction had a contribution to reducing turnover rates and increasing employee commitment. The purpose of this service was to problem identification, analyze problems, find solutions, and provide recommendations to Santa Familia Hospital. The results of this community service were a job satisfaction survey for nurses, which indicated that 36% were dissatisfied, 53% were low satisfied, and 11% were satisfied. A fishbone analysis revealed several causes of nurse turnover, namely from the factors of man, money, material, and method. A plan of activities as a solution to the problem was created with a total of 11 activities. Recommendations were formulated, totaling 7, for Santa Familia Hospital to address the identified problems. The conclusion of this community service was that the job satisfaction of nurses at Santa Familia Hospital was low, which could lead to turnover intentions among employees, ultimately resulting in turnover.

MODEL BISNIS PADA PENDIDIKAN VOKASI SMK JURUSAN TEKNIK PERMESINAN DALAM IMPLEMENTASI TEACHING FACTORY Wardana, Yustinus Rosa Indra; Saputra, Tri Hannanto; Andrea, Reza
Sebatik Vol. 27 No. 2 (2023): Desember 2023
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v27i2.2413

Teaching factory adalah suatu konsep pembelajaran di sekolah vokasi yang berbasis produksi atau jasa yang mengacu kepada standar dan prosedur yang berlaku di industri. SMK dengan jurusan teknik permesinan adalah salah satu satuan pendidikan vokasi yang berdampak dalam mengimplementasikan teaching factory. Dampak disebabkan karena peralatan dan bahan yang dibutuhkan dalam implementasi teaching factory tidaklah murah, apalagi jika biaya hanya dibebankan pada sumbangan pembinaan pendidikan (SPP) SMK. Implementasi teaching factory dapat lebih ringan dalam pembiayaan apabila SMK jurusan teknik permesinan tidak hanya menerapkan model pembelajaran praktik saja, namun juga menjalankan bisnis agar bengkel dapat berjalan mandiri secara finansial sebagai tempat praktik peserta didik. SMK jurusan teknik permesinan membutuhkan formulasi model bisnis dengan konsep kanvas berdasarkan kurikulum pembelajaran dan kebutuhan industri untuk implementasi teaching factory. Desain penelitian ini adalah deskriptif kualitatif. Dalam penelitian ini nanti diharapkan mendapatkan data secara mendalam dari obyek pengkajian bersumber dari hasil wawancara dengan narasumber yang sudah ditentukan. Teknik wawancara yang dilakukan adalah tanya jawab terstruktur dengan pemberian pertanyaan. Wawancara dilakukan pada tiga Kepala SMK jurusan teknik permesinan dan perwakilan IDUKA yang menjadi pelanggan SMK terkait. Dari hasil formulasi kanvas model bisnis untuk SMK jurusan teknik permesinan, diharapkan dapat mengimplementasikan teaching factory dengan tepat. Value propotition yang ditawarkan untuk SMK jurusan teknik permesinan adalah jasa manufaktur baik itu permesinan manual, CNC, maupun kerja bangku dengan harga yang lebih terjangkau. Selanjutnya, value propotition terkait penciptaan mesin tepat guna sesuai kebutuhan industri di sekitarnya. Perubahan value propotition ini menuntut SMK jurusan teknik permesinan untuk mengubah statuta dan struktur organisasi sekolah.

Pengelompokan Siswa Layak Penerima Beasiswa dengan Menerapkan Algoritma K-Means Clustering Data Mining Harpad, Bartolomius; Fahmi, Muhammad; Pahrudin, Pajar; Andrea, Reza
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.v8i2.7394

Scholarships are financial assistance given to individuals with the aim of assisting them in financing the education they are pursuing. To overcome the gap between upper middle economic communities and lower middle economic communities in obtaining quality education. The aim of this program is to provide opportunities for financially disadvantaged students to experience quality education. In the process that occurs in awarding scholarships, there should be a strong basic foundation in the process of determining and making decisions that occur. Where the process of providing scholarships carried out so far should not be given to students who truly deserve it. The problem or impact that occurs from this is that the scholarship program does not run in accordance with the program's objectives, namely helping in the economic gap for students. One way that can be used to resolve this problem is to review previous recipient data. Data mining is a process of re-excavating data. Excavation is carried out by reviewing all the information contained in the data. In this research, the cluster analysis method is used, which is a multivariate technique used to group objects based on their characteristics. Clustering is the process of grouping data. Where the grouping process carried out on data is a grouping that does not yet have a class target or is called unsupervised learning. The results obtained in the research show that there are 2 clusters from the application of the K-Means algorithm. In cluster 1 there are 6 students in it and in cluster 2 there are 4 students in it.

Penerapan Algoritma Hash Based Terhadap Penentuan Rule Asosiasi Transaksi Penjualan Sparepart Sepeda Motor Salmon, Salmon; Lailiyah, Siti; Nursobah, Nursobah; Andrea, Reza
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.v8i2.7410

The problem that occurs in increasing sales transactions is that the large number of sales transactions every day with many kinds of spare parts makes it difficult for sales to determine strategies for offering spare parts that are relevant and really needed by consumers. The large amount of transaction data to be analyzed is not possible to do manually. Therefore, a certain technique is needed that can carry out the association rule mining process quickly on quite large data. One technique that can be used for association rules is the Hash algorithm. Hash Based Algorithm Uses hashing techniques to filter out itemsets that are not important for generating the next itemset. Generating frequent itemsets in this research requires a minimum support value and a minimum confidence value. The minimum support value used in this research is the average frequency of spare parts sales. Development is carried out in the process of generating candidate rules using a hash table on transaction data. By using the Hash Based algorithm, the association rule mining process becomes faster and more efficient in memory usage. From the results of the association rules trial with a minimum support of 40% and a minimum confidence of 75%. 14 lists of association rules were produced that met the requirements. This list becomes a reference for sales in determining strategies for offering spare parts to consumers.

PELATIHAN AI UNTUK MENINGKATKAN KREATIVITAS BERKARYA DI SMK TI PRATAMA PGRI SAMARINDA Franz, Annafi; Maria, Eny; Suswanto; Junirianto, Eko; Yulianto; Nurhuda, Asep; Khamidah, Ida Maratul; Ramadhani, Suci; Andrea, Reza; Beze, Husmul
Ahmad Dahlan Mengabdi Vol 3 No 2 (2024): ABADI : Jurnal Ahmad Dahlan Mengabdi Edisi September 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi dan Bisnis Ahmad Dahlan Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58906/abadi.v3i2.150

Kemajuan pesat dalam teknologi Artificial Intelligence (AI) telah mengubah banyak aspek kehidupan modern, termasuk dalam bidang pendidikan. AI, yang merujuk pada kemampuan sistem komputer untuk melakukan tugas-tugas yang memerlukan kecerdasan manusia, menawarkan potensi besar untuk meningkatkan pengalaman belajar dan mempersiapkan siswa untuk masa depan yang lebih digital. Meskipun AI semakin sering digunakan dalam pendidikan, penerapannya masih belum merata di semua institusi pendidikan. Untuk mengatasi hal ini, pelatihan AI di SMK TI Pratama PGRI Samarinda dirancang untuk memperkenalkan dan mengimplementasikan teknologi AI dalam pembelajaran. Pelatihan ini menggunakan alat-alat AI seperti ChatGPT, Canva AI Art Generator, dan Gemini, dengan fokus pada peningkatan kreativitas siswa dalam desain grafis, pembuatan video, dan proyek multimedia. Melalui pendekatan yang mencakup teori, praktik, dan evaluasi, pelatihan ini bertujuan untuk memastikan pemahaman yang mendalam dan penerapan yang efektif dari AI. Hasil evaluasi menunjukkan bahwa pelatihan ini berhasil meningkatkan pemahaman, keterampilan, dan kreativitas siswa, serta mempersiapkan mereka untuk menghadapi tantangan dan peluang dalam dunia kerja yang semakin berbasis teknologi.

Pelatihan Penerapan Artificial Intelligence (AI) untuk Menunjang Aktifitas Pembelajaran Pada Sekolah Dasar Daarul Hijrah Al-Amin Samarinda Franz, Annafi; Maria, Eny; Suswanto, Suswanto; Yulianto, Yulianto; Rachmadani, Budi; Junirianto, Eko; Nurhuda, Asep; Khamidah, Ida Maratul; Ramadhani, Suci; Muslimin, Muslimin; Beze, Husmul; Andrea, Reza; Karim, Syafei; Putra, Emil Riza; Ramadhani, Fajar; Satria, Bagus; Imron, Imron
Lentera Pengabdian Vol. 1 No. 04 (2023): Oktober 2023
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v1i04.139

Dalam era perkembangan teknologi yang cepat dan globalisasi yang semakin luas, pendidikan di tingkat Sekolah Dasar (SD) menghadapi tantangan untuk terus meningkatkan kualitas pembelajaran. Kecerdasan Buatan (Artificial Intelligence atau AI) telah muncul sebagai sebuah alat potensial yang dapat merevolusi metode pembelajaran dan meningkatkan keterlibatan siswa. Namun, untuk berhasil menerapkan AI dalam kurikulum SD, para pendidik memerlukan pemahaman dan pelatihan yang memadai. Pengabdian ini bertujuan untuk memberikan latar belakang dan implementasi pelatihan penerapan AI dalam konteks pembelajaran di Sekolah Dasar Daarul Hijrah Al-Amin, Samarinda. Melibatkan para guru sebagai peserta utama, pelatihan ini berfokus pada memperkenalkan konsep dasar AI dan memberikan panduan praktis tentang cara mengintegrasikan teknologi ini ke dalam metode pembelajaran yang sudah ada. Harapannya, pelatihan ini akan membantu para pendidik dalam menciptakan lingkungan pembelajaran yang adaptif, interaktif, dan sesuai dengan kebutuhan individu siswa, dengan demikian, mendorong perkembangan keterampilan dan pemahaman yang lebih mendalam. Hasil dari pengabdian ini diharapkan dapat berkontribusi signifikan dalam pembaruan pendekatan pembelajaran di tingkat SD dan menciptakan dasar yang kokoh untuk peningkatan kualitas pendidikan dalam menghadapi tuntutan zaman modern yang terus berkembang.

PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS WEBSITE UNTUK MENINGKATKAN LITERASI DIGITAL SISWA SMP Rosita, Dewi; Isnaynun, Isnaynun; Andrea, Reza; Pratama, Angga
Jurnal Muara Pendidikan Vol. 10 No. 1 (2025): Jurnal Muara Pendidikan, Vol 10 Issue 1, Juni 2025
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/mp.v10i1.2596

The limited use of engaging and interactive learning media during the learning process, particularly in the subject of informatics at junior high schools, has reduced students' interest in learning. One application of technology in the field of education is the development of a website as an e-learning medium. This study aims to determine the feasibility level of website-based learning media and analyze the level of digital literacy among junior high school students. This research is a development study (R&D) using the Brog and Gall model, which includes the stages of needs analysis, planning, initial product development, validation, testing, first product revision, second product revision, effectiveness testing, and dissemination. The results of the study from material expert validation showed a score of 4.7 in the "Very Feasible" category; from three media experts, a score of 4.8 in the "Very Feasible" category; and from students, a score of 4.6 in the "Very Feasible" category. Overall, the results obtained a score of 4.6 in the "Very Feasible" category. Furthermore, the analysis of digital literacy levels among 102 junior high school students showed a Digital Skill score of 82% in the "Very High" category, a Digital Safety score of 71% in the "High" category, a Digital Ethics score of 83% in the "Very High" category, and a Digital Culture score of 82% in the "Very High" category.

Co-Authors AA Sudharmawan, AA Addy Suyatno Afriany, Joli Agus Rineng Mattola Agustinus Baretto Petrus Anggen Ahmad Rofiq Hakim Ahmad, Faqih Nur Alameka, Faza Andi Yusika Andriawan Angga Pratama annafi franz, annafi Ardan, M Asti Melani Persius Awang Harsa Kridalaksana Awang Harsa Kridalaksana AYU LESTARI Azahari Bambang Kurniawan Beze , Husmul Budi Rachmadani Caroline, Audy Nabila Cladio Alessandro Ryan Tobi Dani Wahyudi Wahyudi Dedy Cahyadi Dedy Cahyadi, Dedy Devian Antoni Dharma Deny Ekawati Yulsilviana Emil Riza Putra Fachry Abda El Rahman Fadila Tiara Fahmi Fitnanda Fahrul Agus Fajar Ramadhani Faqih Nur Ahmad Harianto, Kusno Harpad, Bartolomius Harpad, Bartolomius Hurang, Christianus Natalis Husmul Beze, Husmul Ida Maratul Khamidah Imron Imron, Imron Indah Fitri Astuti Indah Fitri Astuti, Indah Fitri Inka Sandy Taruna Isnaynun, Isnaynun Junirianto, Eko Karim, Syafei Khoirunnita, Aulia Lialiyah, Siti M. Irwan Ukkas Irwan Ukkas Ukkas Maria, Eny Markarius Paso Mira Dewi Yustina Muhammad Audi Yordana Muhammad Fahmi Muslimin Muslimin Nabile, Daniel Niansyah, Sugih Nona, Risna Nurhasanah Nurhasanah Nurhuda, Asep Nursobah, Nursobah Nurul Ikhsan Pahrudin, Pajar Pitrasacha Adytia Rachmadani, Budi Ramadhani, Budi Ramadiani - Riko Raynol Hasan Rosita, Dewi Rosmasari Rosmasari Rosmasari Rudito Rudito Salmon Salmon Salmon Salmon, Salmon Sari, Seli Puspita Sefty Wijayanti Shinta Palupi Shinta Palupi Siti Lailiyah Siti Lailiyah Siti Lailiyah, Siti Siti Qomariah Suci Ramadhani, Suci Suswanto Suswanto Suswanto Suswanto Suswanto Suswanto Suswanto, Suswanto Syamsuddin Mallala Tri Hannanto Saputra Wahyudi, Dani Wahyudi Wahyuni - Wahyuni Wardana, Yustinus Rosa Indra Wijayanti, Sefty Wijayanti, Sefty Yulianti Yulianti Yulianto Yulianto Yulianto Yunita Yunita Zulkifli Syahrir Ramadhan

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