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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Teknika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) International conference on Information Technology and Business (ICITB) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Proceeding of the Electrical Engineering Computer Science and Informatics International Journal of Artificial Intelligence Research INTEGER: Journal of Information Technology Faktor Exacta JMM (Jurnal Masyarakat Mandiri) Jurnal Teknoinfo JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Informasi dan Komputer Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Infortech Jurnal Generic Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Bioscientist : Jurnal Ilmiah Biologi Jurnal Pengabdian kepada Masyarakat Journal of Research in Social Science and Humanities International Journal of Advanced Science and Computer Applications TECHSI - Jurnal Teknik Informatika Jurnal INFOTEL Journal of Digital Literacy and Volunteering Journal of Digital Literacy and Volunteering Journal of Digital Market and Digital Currency
M Said Hasibuan
Institute Informatika Dan Bisnis Darmajaya
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S-GIS: DIGITAZING SKIN DISEASE SPREAD IN LAMPUNG PROVINCE INDONESIA Rahmalia Syahputri; Muhammad Said Hasibuan
Prosiding International conference on Information Technology and Business (ICITB) 2015: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 1
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Skin disease is a common disease whether in urban orrural area. Various types are listed in this category. Someof them are easily transmitted and turn into epidemic. Tohelp the health department or other parties to map thespread of the diseases as well as to broadcast theinformation easily to the citizen, thus it is important todevelop a system that able to provide data based ongograpfical. Furthermore, the data should be easily to beaccesed.To enable related parties to be able to collect,store, and analyze the spread of skin disease particularlyin Lampung Province Indonesia, a geographicalinformation system has been developed. In addition, thissystem acts as a monitoring tool for Government orAgencies that responsible for the health issues inLampung and Indonesia.KEY WORDS: geographic information system, skindiseases spread, Lampung Province.
Data Visualization of Lecturer of Digital Business Study Program Darmajaya Institute of Informatics and Business Diki Andita Kusuma; Ratna Nurhaya; Mukhas Munif Ahsani; M S Hasibuan
Prosiding International conference on Information Technology and Business (ICITB) 2021: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 7
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Digital Business Study Program is a study program that was born in 2019 from the Faculty of Economics at the Darmajaya Institute of Informatics and Business (IIBDarmajaya). This study program is the most favorite study program at FEB IIB Darmajaya, which of course must be balanced with the many researches carried out by lecturers and students. The efforts of the Darmajaya Institute of Informatics and Business (IIB) to improve the research culture certainly have a very positive impact on the Institute and researchers. Data related to research conducted by lecturerswho are currently presented separately on several websites such as Scopus, Web of Science (WOS) and Google Scholar will make it difficult for various parties who want to use data related to these studies for various purposes. . With the development of Digital Business Studies program, the more research done, so there should be a system that can handle them.Data studio is a tool used to create data visualizations.Therefore, it is very important for the digital business study program to have a system that stores data or information about lecturers in the digital business study program which is presented in the form of data visualization so that the information can be understood in a faster and shorter time because the information is packaged in a variety of formats. Diagrams with attractive colors and shapes. Keywords-Data Visualization, IIB Darmajaya, Data Processing, Data Analytics.
Teacher performance analysis using Smart PLS Ratih Pratiwi; Anuar Sanusi; MS Said Hasibuan
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

This study aims to conduct a study of improving teacher performance through Organizational Citizenship Behavior, Communication Organizational Culture and Leadership Style at PKLK Growing Hope Bandar Lampung, Lampung. The study was conducted on 4 variables, namely Organizational Citizenship Behavior, Communication Organizational Culture and Leadership Style to improve teacher performance at PKLK Growing Hope Bandar Lampung, Lampung. Model analysis using Structural Equation Modeling. as if the analytical tool used is Partial Least Square (PLS) with Smart PLS 3.0 software starting from the measurement model (outer model), model structure (inner model), and hypothesis testing. The results of the study indicate that there is a significant influence of Organizational Citizenship Behavior on Teacher Performance, proving that there is a significant influence of Organizational Culture on Teacher Performance, there is a significant influence of Communication on Teacher Performance. Simultaneously hypothesis testing also proves to show that there is a significant influence of Leadership Style on Teacher Performance. There is a positive and significant correlation between the variables of Organizational Citizenship Behavior, Communication Organizational Culture and Leadership Style with the improvement of teacher performance at PKLK Growing Hope Bandar Lampung, Lampung. The results of the R Square measurement have a value of 95% while 5% are outside of the variables studied. This shows that there are several other variables that can be investigated to complete this research.Keywords— Organizational Culture, Communication, and Leadership Style
Perbandingan Algoritma C4.5 dan Naive Bayes Untuk Menentukan Penerima Bantuan Bedah Rumah di Kabupaten Tanggamus Arbi Gunawan; M Said Hasibuan
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 6, No 1 (2023): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v6i1.3430

Abstract

A livable house is a basic human need, a livable house is said to be if the home owner has a sense of peace and comfort living in that house. A livable house is interpreted as a house that has facilities to meet human needs in carrying out daily activities. The government assistance has not been distributed evenly to the homes of the residents of Tiga Dolok Village, because the program that has been running so far is very complicated, the system that runs is still manual in processing community data. Therefore, the authors provide a solution to classify the eligibility level of the house using the C4.5 algorithms and the Naïve Bayes algorithm. This algorithm was chosen because it is one of the methods in the Decision Tree that is widely used to make predictions about a case. Thus, government subsidies for renovating uninhabitable houses can be channeled in an appropriate manner. The research objective is to use a decision tree based on the C4.5 algorithms, which is expected to increase the accuracy of receiving housing feasibility renovation assistance. The research method used is Data Mining. Analysis and calculations using this algorithm really help the decision-making process to determine people who are eligible to receive housing renovation assistance and people who are not eligible to receive housing renovation assistance. Keywords: Livable House; C4.5 Algorithm; Decision tree, Naïve
Penerapan Algoritma Naïve Bayes dan Forward Selection Untuk Prediksi Penyakit Stroke Tetra Praja Utama; M Said Haibuan
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2580

Abstract

Stroke is a major health problem in today's elite society. Currently, stroke is a serious problem that can occur in almost all parts of the world. A sudden stroke can cause death, physical and mental disability in both able-bodied and elderly people. In order to get batch data, one has to use data mining methods for classification, like Classification is the process of defining a concept or data class that describes or differentiates instances to evaluate an unknown class of objects. When classifying multiple attributes, a set of records is also defined, also known as an array. In continuous or categorical form, one of the attributes indicates the category of the record. With the dash problem above, of course, you have to be able to overcome this problem, a lot of research has been carried out in the field of computer science, including the Classification of Stroke Patients Using the Naïve Bayes Algorithm to classify the most important factors for this disease. Testing resulted in a fairly high accuracy of the Naïve Bayes Algorithm, which is equal to 95.13, but the results of this accuracy can still be improved by conducting further research to produce higher accuracy.
EVALUASI KEAMANAN INFORMASI PADA SMAN 1TANGGAMUS MENGGUNAKAN INDEKS KAMI VERSI 4.2 Muhammad said hasibuan; Rizky Yulizar Rahman
JURNAL FASILKOM Vol 13 No 02 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i02.4916

Abstract

The importance of the process of evaluating information system security for a company, organization, or government agency whose goal is to carry out early detection of information leaks and even disruption of information systems. In this research conducted at SMAN 1 XYZ. The research being conducted was to determine the level of readiness and governance of information security based on ISO/IEC 27001:2013 standardization by using tools, namely the KAMI Information Security Index Version 4.2. In this research the method used to carry out the data collection process is to make direct observations on the objects used as research and questions and answers with the IT department that handles related information systems. Based on the research conducted, it was found that the maturity level of information security is that at the level of need for electronic devices, a score of 20 points is in line with the high KAMI index and is still Level I to Level II. Even though the result of the readiness assessment has a value of 245, this is a safety level of 1 which applies to SMAN 1 XYZ. To achieve a qualification level in accordance with the ISO/IEC 27001: 2013 standard, SMAN 1 XYZ must improve information security internally and externally, in this case external parties, and carry out security assessments on an ongoing and continuous basis.
Detection of learning styles with prior knowledge data using the SVM, K-NN and Naïve Bayes algorithms Muhammad Said Hasibuan; RZ Abdul Aziz
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.788

Abstract

The two types of automatic learning style detection approaches are data driven (DD) and literature based (LB). Both methods of automatic learning style detection have advantages over traditional learning style detection methods because they use external data sources, such as forums, quizzes and views of teaching materials, that are more accurate than the questionnaires used in traditional styles of detection. The results of automatic detection, on the other hand, do not always reflect learning styles. This paper presents a learning style recognition method that uses data from the learner’s internal source, namely prior knowledge, to overcome these challenges. Prior knowledge is proposed because it is based on the learner’s knowledge or skills, which better reflect the learner’s characteristics, rather than on the learner’s behaviour, which tends to be dynamic. By using past knowledge, this paper presents a method for detecting automatic learning patterns. The learning style detection framework is unique in that it consists of three stages: prior knowledge question development, prior knowledge measurement and learning style detection using the Support Vector Machine (SVM), Naïve Bayes and K-Nearest Neighbour (K-NN) classification methods. The accuracy of learning style detection using prior knowledge data was higher than detection results using behavioural data or hybrid data (prior knowledge + behaviour) in this study
Analysis of Lampung Provincial Social Service website using PIECES framework Muhammad Said Hasibuan; Andry Ferianto
JURNAL INFOTEL Vol 15 No 1 (2023): February 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i1.870

Abstract

The official website of the Social Office Lampung Provincial contains news content, routine activities, and information on public services. The website has been changed from an internal point of view but does not yet know how satisfaction is based on user perceptions. As a result, users no longer want to visit the Social Office website, which is one of the problems, so it is necessary to build a measurement model for the classification of website user problems using the Framework Pieces. Previously, the reliability and validity test of the questionnaire was taken from 338 samples of respondents, then entered the data analysis stage by assessing user characteristics based on the Likert scale and class intervals. Framework Pieces succeed to classify the problems of 338 samples in the range of good and poor. For the Performance domain with a score of 3,62 (Good), the Informations or Data domain with a score of 2,57 (Poor), Economics domain with a score of 3,35 (Moderate), Control or Security domain with a score of 3,61 (Good), Efficiency domain with a score of 3,36 (Moderate), finally for Service domain with a score of 2,60 (Poor).
Implementasi Teknologi QR Code Dalam Pendaftaran Calon Mahasiswa Baru Afdal Wahyu Prayuda; Achmad Aldi Sakoni; M. Arif Prayoga; Muhammad Said Hasibuan
Journal of Digital Literacy and Volunteering Vol. 1 No. 1 (2023): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/ict.v1i1.14

Abstract

In tertiary institutions, the acceptance of new students (PMB) is an administrative procedure. Online registration forms are filled out by prospective students to complete the registration procedure. As a result, a system was created that makes use of QR Code technology, which is anticipated to make the registration process easier for potential new students (PMB). The system design approach that was utilized to create the design for the software requirements analysis system was the technique employed in this paper. In order to find out the processes that happen in a system based on the results of the Qr Code Design as a Service Optimization Media for New Student Admission Registration, researchers carry out software requirements in the design and construct optimization of new student admissions services.
Pengembangan Sistem Absensi Karyawan di Institut Informatika dan Bisnis Darmajaya Dengan Menggunakan Teknologi Barcode Bagus Yuda Pratama; Fauziah Zahra Ramadhani; Munaa Munaa; Muhammad Said Hasibuan
Journal of Digital Literacy and Volunteering Vol. 1 No. 1 (2023): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/ict.v1i1.15

Abstract

There are so many ways to process employee attendance, one of which is to use the manual method. So far, there are still many large companies that still implement attendance manually, but this causes a lot of time leaks or other violations, which of course makes it less effective and efficient and causes attendance information to be inaccurate. In a company with quite a lot of employees, it is very necessary to have proper, fast, accurate attendance management. An accurate methodology for solving problems in this modern era with the use of QR barcodes because it will really help companies to attend to employees in real time. The system is made with the PHP programming language and uses the MYSQL database. The purpose of QR Code (Quick Response Code) technology in companies is as a tool in processing employee attendance data, employee identity cards and also processing employee data which is beneficial for employees because they can carry out computerized attendance activities. The results to be obtained from the research and implementation of this system are by entering several examples of employee data as an experimental form of attendance transactions, and the attendance application program is made to run properly. The system created produces several features in the form of user features, checking QR codes for attendance, generating QR codes from each employee card, recapitulation and attendance reports on the system, and employee data in the form of employee names, positions, work shifts and work location placements
Co-Authors - Nurfiana A Adven Tonny A Feriyanto Abdi Darmawan Abror , Muhamad Achmad Aldi Sakoni Adam Japal Adi Wijaya Admi Syarif Afdal Wahyu Prayuda Agus, Isnandar Ali Nasution Andry Ferianto anggalia wibasuri Anuar Sanusi Anuar Sanusi Arbi Gunawan ARDIANSYAH ARDIANSYAH Ari Rohmawati Arie Setya Putra Arman Suryadi Karim, Arman Suryadi Aziz, RZ. Abdul Bagus Yuda Pratama Baruna Wisnu Wardana Baskoro Baskoro Dani Apriansyah Danil, Sapni Delli Maria Denny Prastiawan Destiawan Destiawan Dewi, Deshinta Arrova Dian Saputra Dika Tondo W Diki Andita Kusuma Doni Andrianto Dworo, Dworo Effendi, M. Junius Eko Budi Wicaksono Eko Zulkaryanto Elis Malana Fauziah Zahra Ramadhani Febriana, Annisa Arsya Fely Dany Prasetya Fernando, Rhino Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Fitria Fransiska, Devi Guntur Tiara Wahyu Hidayah handoyo widi nugroho Hardiansyah, Deni Henderi . Hendri Purnomo Herawadi S, Novi Hermansyah, Idi Herwanto, Riko Ismail, Abdul Azim Bin Isnaini Bastari Iwan Tri Bowo Khristina Henny R Kumala, Dian Agustin Arta Kurnia Muludi Kurniawan Kurniawan, Tri Basuki Laila, Siti Nur M. Arif Prayoga M. Arif Rifai M. Royan Fauzi Mahfut Maizary, Ary Marzuki Marzuki Melda Agarina Melda Agharina Muhammad Fahmi Hafidz Mukhas Munif Ahsani Munaa Munaa Munaa, Munaa Nathan Nurdadyansyah Nathan, Yogeswaran Netty Sefriyanti Nosiel Nosiel Novi Herawadi Sudibyo Novi Herawadi Sudibyo, Novi Herawadi Novita Sari Nurdiyanto, Heri Nurpambudi, Ramadhan Nuryana, Sapta Adi Onno W Purbo Periasamy, Jeyarani Pratama, Bagus Yuda Pratama, Tomy Adi Prayoga, M. Arif Prayuda, Afdal Wahyu Prilian Ayu Winarni Purbo, Onno W R Rizal Isnanto R, Khristina Henny Rahmadi, Lendy Rahmalia Syahputri Rahmalia Syahputri Ramadhani, Fauziah Zahra Rangga Firdaus Ratih Pratiwi Ratna Nurhaya Renita Dwi Astuti Ridho Kurniawan RIDHO KURNIAWAN, RIDHO Rizky Yulizar Rahman Romadhoni, Nuzul Rahmat Rosandi, Triowali Ruki Rizal Sakoni, Achmad Aldi Sapni Danil Savitri, Ratna Selfiyana, Reva Setiyono . Sigit Andriyanto Singagerda, Faurani Santi Singh, Harprith Kaur Rajinder Siti Khodijah Situmorang, Klaudia SB SRI RAHAYU Sri Ratna Sulistiyanti Suci Mutiara Sutedi Sutedi Suwandi Tetra Praja Utama Triloka, Joko Wahyu Bintono Wasilah Wibaselppa, Anggawidia Winda Rika Lestari Y Verawati Y. Suhendro Yeh, Ming-Lang Yogi Maulana Yoni Hisbullah Yudha, Efrian Prama Yusuf, Suhendro Zainal A. Hasibuan Zakaria, Mohd Zaki