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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Pendidikan Islam Iqra' Jurnal Informatika Universitas Pamulang Jurnal Kreativitas PKM Journal of Innovation and Future Technology (IFTECH) PREPOTIF : Jurnal Kesehatan Masyarakat Journal of Intelligent Decision Support System (IDSS) Journal of Computer System and Informatics (JoSYC) JOINTER : Journal of Informatics Engineering Jurnal Informatika dan Rekayasa Perangkat Lunak Bisnis Net : Jurnal Ekonomi dan Bisnis Jurnal Minfo Polgan (JMP) Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Jurnal Masyarakat Madani Indonesia Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Alfiansyah Hasibuan
Universitas Negeri Manado, Indonesia
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Pengembangan Sistem Pembelajaran Online di Masa Pandemi Covid-19 Berbasis Open Source Alfiansyah Hasibuan; Zulfahmi Syahputra; Purwa Hasan Putra
Journal of Computer System and Informatics (JoSYC) Vol 1 No 4 (2020): August 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

During the COVID-19 pandemic experienced by the world, various activities did not work as they should; one of the affected sectors was education. Education is an activity that is done face to face, but with the current conditions, forcing these activities to temporarily stopped. This research aims to develop an online learning system that is easy to understand and does not hamper the teaching and learning process in the coronavirus pandemic (Covid-19). This study uses the ADDIE model, namely, Analysis, Design, Development, Implementation, and Evaluations. Development research with the ADDIE model is limited to program implementation. The data that has obtained will be processed using quantitative methods and qualitative methods. The results of the study with the development method that the author received from filling out the questionnaire included aspects of the evaluation of media validation which consisted of 21 indicators, and media validation had two elements of assessment namely aspects of design appearance and programming aspects, the total score of the two aspects of the evaluation gained a total of 83 estimates and the average an average rating of 3.95 is in a Good category. Details of media validation are two indicators from the display aspect score 3 (9.25%), and four indicators score 4 (19.04%), while from the programming aspect there are 14 indicators score 4 (66.67%) and one indicator score 5 (4, 76%). The questionnaire assessment in terms of learning material received a total score of 49, with an average rating of 4.08 in the Good category. Recorded in terms of learning that has 12 indicators get an assessment with the details seven signs to get a score of 4 (58.33%), three symbols get a score of 5 (25%), and two indicators get a score of 3 (16.67%). While in terms of learning design, 11 signs obtained a total score of 45 an average rating of 4.09 and included in the category of Very Good. The distribution of the assessment questionnaire on the validation of the learning design recorded two indicators score 3 (18.18%), six signs score 4 (54.54%), and 3 symbols score 5 (27.27%).
Implementasi Metode Client Server pada Penerapan Aplikasi Simulasi Ujian Akhir Alfiansyah Hasibuan; Erwin Dalimunthe
Jurnal Informatika Universitas Pamulang Vol 5, No 2 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (789.206 KB) | DOI: 10.32493/informatika.v5i2.5614

Abstract

In the current era, where technology has become a necessity, not only in terms of information sources but also as a tool to process data. Client Server is a connectivity on the network that distinguishes computer functions whether as a client or server. This architecture makes a computer as a server or center in charge of providing services to other terminals (clients) connected to this network system. In this system, the design of the exam simulation by applying the client server method, where the computer used by students to answer questions is the client and the computer used by the lecturer to monitor and fill questions is a server. In solving problems that arise, an agency must have a system that can overcome these problems. The proposed system in overcoming problems is a computerized system to produce effective and efficient information, and to make reports more quickly and accurately. The exam simulation application designed is very helpful for lecturers to carry out and check exam results quickly and accurately.
Analisis Klasifikasi Metode X-Means Pada Minat dan Bakat Anak Dimasa Pandemi Purwa Hasan Putra; Alfiansyah Hasibuan; Effenril Agung Marpaung
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 2 (2022): Juni 2022
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i2.17889

Abstract

Algoritma X-Means merupakan algoritma yang digunakan untuk pengelompokan data.Algoritma x means merupakan pengembangan dari k-means.X-means  clustering  digunakan untuk menyelesaikan salah satunya kelemahan utama dari  K-means  clustering,  yaitu  perlunya  pengetahuan  sebelumnya  tentang  jumlah cluster (K). Dalam metode ini, nilai sebenarnya dari K diperkirakan dalam suatu yang tidak diawasi cara dan hanya berdasarkan set data itu sendiri. Adapun hasil penelitian dengan menggunakan algoritma X-Means dengan evaluasi Davies-Bouldin Index penentuan  jumlah Centroid  cluster  dilakukan  dengan  memodifikasi  metode  X-Means. Dalam pengelompokan data ini dilakukan pengclusteran pada setiap data sisw dari variabel-variabelyang telah dikumpulkan. Bakat dan minat setiap siswa akan dicocokkan dengan perguruan tinggi dan jurusan apa yang diminati dari setiap siswa
Analisis Perbandingan Perilaku Mahasiswa Kesehatan Di Kota Medan Dalam Pencegahan Covid 19 roni gunawan; Alfiyansyah Hasibuan
PREPOTIF : JURNAL KESEHATAN MASYARAKAT Vol. 6 No. 3 (2022): DESEMBER 2022
Publisher : Universitas Pahlawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/prepotif.v6i3.8105

Abstract

Introduction: The Corona Virus Disease 19 (COVID-19) is a disease that has a major impact on public health in 2020. This epidemic has an impact on the development of the digitalization system in every aspect of life. Information that is widely disseminated on social media becomes very important to be accessed by all parties, including those who are familiar with health information, namely health students. Health students with various majors have their own characteristics that in fact affect their behavior in preventing Covid 19. Method: The research method used is a comparative analytical survey method, which compares the behavior of preventing Covid 19 in 4 student departments in the city of Medan, namely Public Health, Pharmacy, Nursing. and Physiotherapy. The total number of respondents is 80 people where each department is 20 people. Data analysis used the Kruskall Wallis test with the Post Hoc test using the Mann Whitney test. Result:. Based on the analysis of the behavioral aspects tested, there are differences in the four majors, namely the Action variable only. Then based on post hoc analysis, the difference between these actions occurred in the Department of Public Health and Pharmacy with a p value of 0.041. Then the difference in Action also occurs in the Department of Public Health and the Department of Nursing with a p value of 0.010. Then the difference in action also occurred in the Department of Public Health and the Department of Physiotherapy with a p value of 0.001
KLASIFIKASI TINGKAT KEPUASAN MAHASISWA TERHADAP FASILITAS PADA FTIK UNIVERSITAS DHARMAWANGSA MEDAN DENGAN ALGORITMA NAIVE BAYES Medi Hermanto Tinambunan; Alfiansyah Hasibuan; Sri Wahyuni; Arif Sobirin Wibowo
Bisnis-Net Vol 6, No 1 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/bn.v6i1.3356

Abstract

ABSTRACT Facilities are a support for the implementation of a process in a business in this case the Dharmawangsa University campus, by increasing the level of student satisfaction with the facilities available, student comfort in learning will be achieved. This study used questionnaire data on 70 respondents who were students of Dharmawangsa University. Previously, the questionnaire consisted of 42 questions. After being tested for validity and reliability, 20 questions were obtained. Then from the results of the questionnaire data, a classification of student satisfaction levels will be carried out using one of the algorithms in data mining, namely Naive Bayes. The results obtained by using the rapid miner application with 50 training data and 19 data testing data, the results obtained are a classification accuracy of 73.68% with a recall value of 83.33% and a precision of 83.33%, then there are 9 attributes that have a value dissatisfaction is higher than the satisfaction score given by respondents, this can be a concern of the leadership to improve these facilities so as to increase the level of satisfaction with the facilities provided by Dharmawangsa University.Keywords: Student Satisfaction, Data Mining, Naive Bayes
Sistem Pendukung Keputusan Penentuan Siswa Berprestasi Menggunakan Metode Weight Product (WP) Demi Mardian; Neneng Neneng; Ajeng Savitri Puspaningrum; Alfiansyah Hasibuan; Medi Hermanto Tinambunan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 4, No 2 (2023): Volume 4 Nomor 2 Juni 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v4i2.2593

Abstract

Penilaian dilakukan oleh sistem dengan tetap mengikuti kriteria-kriteria yang ditentukan. Metode yang di pakai dalam pengambilan keputusan pemilihan siswa berprestasi salah satunya yang dapat digunakan adalah dengan menggunakan weight product (WP). Metode WP merupakan solusi pemilihan Siswa Berprestasi karena merupakan algoritma yang mampu mengkomodasi banyaknya kriteria dan menghasilkan solusi. Algoritma ini menghasilkan alternatif dengan membrikan bobot pada masing-masing kriterianya. Kriteria yang akan di gunakan untuk penelitian ini adalah nilai rata-rata raport, nilai extrakulikuler, nilai kedisiplinan, nilai kehadiran, dan nilai non akademik kegiatan. Implementasi sistem denagn melakukan penerapan secara langsung sistem informasi kepada guru yang mangajar dan bagian operator sekolah, serta melakukan pengujian sistem kepada 2 Dosen dan 8 guru atau operator sekolah, serta denagn metode pengujiannya menggunakan ISO 25010, pengujian dilakukan yaitu pada aspek fungsionality, dan oprability, dengan masing-masing nilai didapat untuk fungsioallity 90,91%, untuk oprability 78% dengan hasil pengujian tersebut maka sistem informasi dinyatakan layak untuk mengatasi penentuan siswa berprestasi.
Optimization of K-Means algorithm in grouping data using the statistical gap method Alfiansyah Hasibuan; Djubir R.E. Kembuan; Christine Takarina Meitty Manoppo; Medi Hermanto Tinambunan
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 3 (2023): September : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i3.149

Abstract

In this study, we study the core concepts of the K-Means algorithm, explore its algorithmic framework, computation steps, and practical applications. Using data that is used as a basic need to perform calculations from the k-means algorithm optimization method. Using data taken from the r studio dataset with the EuStockMarkets dataset. The purpose of this study is to optimize the k-means algorithm and cluster the clustering process from a dataset, minimizing the objective function that has been set in the clustering process. The tools used are R Studio. Based on the results of this study, profiling of each group formed can be carried out. Based on the grouping results that have been carried out, the grouping results are 75.7% the accuracy of the statistical Gap method in optimizing clusters from existing datasets and the results of 92.9% are obtained from the results of minimizing the object functions in the dataset from grouping with k-means. The smaller the percentage in this grouping process the better it is in optimizing the clusters from the dataset. The author applies the k-means clustering algorithm to minimize objects for grouping from the EuStockMarkets dataset which consists of 4 variables. And the author uses the Statistical Gap method to optimize the clusters from the dataset.
Pemanfaatan Media Digital sebagai Upaya Media Promosi dan Pemasaran pada Ikm Ibu Sri Kabupaten Minahasa Djami Olii; Alfiansyah Hasibuan; Anas Romzy Hibrida
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 6, No 9 (2023): Volume 6 No 9 2023
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v6i9.11587

Abstract

ABSTRAK Ibu Sri merupakan salah satu masyarakat yang memiliki Usaha Mikro Kecil dan Menengah (UMKM) yang bergerak pada pembuatan keripik tempe, pisang dan umbi-umbian, sumber bahan yang digunakan adalah hasil panen dari petani yang di jual oleh ibu sri. UMKM ini masih terdapat banyak permasalahan, diantaranya, Pandemi Covid-19 membuat pendapatan menurun, Jangkauan Pemasaran Hasil produksi belum luas, Belum ada sertifikasi halal dari Kemenag. Kegiatan yang dilakukan pada pengabdian ini dengan membangun sistem berbasis digital. Dalam menyelesaikan permasalah mitra, ada beberapa solusi yang direncanakan. Solusi tersebut meliputi, Membuat sistem berbasis digital yang dapat membantu dalam proses promosi dan pemasaran dengan jangkauan yang lebih luas, memberikan pelatihan manajemen pemasaran, melakukan proses pendampingan produk halal. Metode yang digunakan dalam pengabidan kepada masyarakat adalah ceramah (berupa pemberian teori) dan praktik penggunaan sistem digital. Hasil dari kegiatan pengabdian ini adalah pelaksana kegiatan telah memberikan pelatihan penggunaan sistem yang akan digunakan oleh UMKM dan mendapat antusiasme pelaku usaha untuk menggunakan sistem digital sebagai upaya peningkatan penjualan produk yang dihasilkan oleh UMKM, serta telah terlaksananya sosialisasi pendampingan sertifikasi halal bagi produk UMKM. Kata Kunci: Ibu Sri, UMKM, Covid-19, Sistem, Sertifikasi  ABSTRACT Mrs. Sri is one of the people who have Micro, Small, and Medium Enterprises (UMKM) which are engaged in making tempeh chips, bananas, and tubers. The source of the materials used are harvests from farmers which are sold by Mrs. Sri. These UMKM still have many problems, including, the Covid-19 pandemic has made income decrease, the marketing reach of production is not yet wide, and there is no halal certification from the Ministry of Religion. Activities carried out in this service by building a digital-based sistem. In solving partner problems, there are several planned solutions. These solutions include Creating a digital-based sistem that can assist in the promotion and marketing process with a wider range, providing marketing management training, and carrying out the process of mentoring halal products. The method used in community service is lectures (in the form of giving theory) and practical use of digital sistems. The results of this service activity are that the executors of the activities have provided training on the use of the sistem that will be used by UMKM and got the enthusiasm of business actors to use the digital sistem as an effort to increase sales of products produced by UMKM, and socialization of halal certification assistance has been carried out for UMKM products.  Keywords: Mrs. Sri, UMKM, Covid-19, System, Certification
Comparison performance analysis of autoregressive integrated moving average and deep learning long-short term memory forecasting weather data Hasibuan, Alfiansyah; Tinambunan, Medi Hermanto; Putra, Purwa Hasan
Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Vol. 3 No. 1 (2023): March: Mathematics and natural science
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah I Sumatra Utara (LLDikti I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54076/jumpa.v3i1.302

Abstract

Information about the weather is crucial in assisting human activities and labor because the weather is a factor that cannot be separated and is closely related to all human activities. The purpose this study to compare performance the Autoregressive Integrated Moving Average (AIMA) and Long-Short Term Memory (LSTM) algorithm models with case studies of weather forecasting. This study uses comparison of two methods, forecasting using AIMA and LSTM methods. LSTM method provides the best forecasting performance for attribute minimum temperature, maximum temperature, and average temperature with the Root mean squared error value below 1.45 and the Mean Absolute Error value below 1.14. For attributes of average humidity and solar radiation with a Root mean squared error value of 2.62 to 3.82 and a Mean Absolute Error value of 2.21 to 3.2. Precipitation forecasting has the highest error value with a root mean squared error value of 9.99 and a mean absolute error of 6.5. The AIMA method provides the best forecasting performance on the attribute minimum temperature, maximum temperature, and average temperature with the Root mean squared error value below 1.47 and the Mean Absolute Error value below 1.16. For the sun exposure attribute with a Root mean squared error value of 2.91 to 3.05. Whereas the average humidity attribute has the highest error with the Root mean squared error value reaching 4.97 and the Mean Absolute Error reaching 3.99. LSTM method is better in terms of forecasting results and in terms of computation time. From every forecast made, the LSTM method produces a smaller error value.
The Impact of Education Character on Learning Activity of Madrasah Aliyah Students in Manado Modeong, Merriam; Ratumbuisang, Keith Francis; Hasibuan, Alfiansyah
Jurnal Ilmiah Iqra' Vol 18, No 1 (2024)
Publisher : IAIN Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30984/jii.v18i1.2924

Abstract

The Impact of Education Character on Learning Activity of Madrasah Aliyah Students In Manado. This research aims to determine the impact of Education Character on the learning activities of Madrasah Aliyah (MA) students in Manado City. This is quantitative research, and the population of this study were all class XII MA students in Manado City. At the same time, the sample in this study consisted of 78 students, formulated using an accidental sampling technique. Data analysis uses simple linear regression analysis.The research results reveal that the variable Furthermore, the t-count value is 7.524, which means it is greater than the t table value = 1.665 with N=78 (7.524>1.665). Furthermore, it can be stated that this research rejects the H0 decision, which means that Education Character has a positive and significant impact on the learning activities of Madrasah Aliyah students in Manado City
Co-Authors Anas Romzy Hibrida Arif Sobirin Wibowo Audy Aldrin Kenap Christine Takarina Meitty Manoppo Demi Mardian Djami Olii Effenril Agung Marpaung Erwin Dalimunthe Gunawan, Roni Keith Francis Ratumbuisang Kembuan, Djubir Ruslan Edy Kristofel Santa La'bi', Eva Rivalda Pappang Londok, Deapasca Nataya Medi Hermanto Tinambunan Merriam Listiany Modeong Mustapa Mustapa Neneng Neneng Panambunan, Stiven Putra, Purwa Hasan Raharusun, Oliver Simon Hardianto Sri Wahyuni Zulfahmi Syahputra