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All Journal Jurnal Media Infotama LEX ET SOCIETATIS Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Sistemasi: Jurnal Sistem Informasi Information System for Educators and Professionals : Journal of Information System Sebatik JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUKATIF : JURNAL ILMU PENDIDIKAN Menara Ilmu JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research Journal of Education Research Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Sains dan Teknologi Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Populer: Jurnal Penelitian Mahasiswa INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Ilmiah Teknik Informatika dan Komunikasi Indonesian Research Journal on Education Jurnal Ilmiah Dan Karya Mahasiswa Jurnal Satya Informatika Jurnal Sistem Informasi dan Ilmu Komputer Indo Green Journal Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Quancom: Jurnal Quantum Komputer Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Information System and Education Development Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Pengabdian Masyarakat Bangsa Jurnal Ilmu Komputer dan Informatika Indo Green Journal Jurnal TAM (Technology Acceptance Model) Journal of Computer Science Advancements Edumaspul: Jurnal Pendidikan
Billy Hendrik
Universitas Putra Indonesia YPTK Padang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Customer Relationship Management Dalam Meningkatkan Loyalitas Pelanggan Pada Doorsmeer Keluarga Nasution Menggunakan Metode Algoritma K-Means Lubis, Siti Sahara; Lubis, Fitri Sari; Billy Hendrik
Journal of Information System and Education Development Vol. 1 No. 2 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

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

Abstract

Doorsmeer, the Nasution Family, which is located on Jl. Medan Padang Aek Godang Panyabungan, Mandailing Natal Regency, provides services in the form of car and motorcycle washing. Bookkeeping at the Nasution Family Doorsmeer is still done manually, allowing for loss of important transaction data, as well as a lack of business promotion in the community resulting in slow business development. The purpose of this study is generally to apply Web-based Customer Relationship Management with the K-means algorithm method for marketing/transactions at the Nasution Family Doorsmeer. This research is a combined type, using descriptive qualitative and quantitative methods. From the research results it is known that with the existence of Web-based Customer Relationship Management it can simplify and assist in managing good marketing strategies so as to increase sales revenue, and by providing the best service will encourage customer loyalty. In determining loyal customers the fields used are the customer's name, vehicle license plate, number of visits and total transactions for 2 months, then the data will be processed with the k-means clustering algorithm. The final result with 20 samples of transaction data is the final result with 2 clusters, namely, cluster 1 (C1) with 13 disloyal customers, cluster 2 (C2) with 7 loyal customers. By implementing Customer Relationship Management with K-Means, you can build customer clustering to categorize customers who use services so that service providers can identify the characteristics of their customers. With Customer Relationship Management with K-Means, promotions can be directed to customers who are entitled to get them. With the implementation of Customer Relationship Management reaches more new customers through a system that has been directly integrated with the internet network, so that new visitors or those who do not know Doorsmeer Nasution Family, both those around the business location and those who are far away, will find it easy to get to know Doorsmeer Nasution Family through internet searches so that the number customers who transact with the Nasution Family's Doorsmeer business have increased.
Penerapan Metode Naïve Bayes Dalam Memprediksi Kepuasan Mahasiswa Terhadap Cara Pengajaran Dosen Putri Ramadani; Gunadi Widi Nurcahyo; Billy Hendrik
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.361

Abstract

Student satisfaction in higher education is the main focus in improving the quality of education. In the Tridharma paradigm, satisfaction is measured through a comparison of expectations and teaching realization as the main indicator of learning effectiveness. This research method uses Naïve Bayes classification, through the steps of reading training data, calculating prior probabilities, training data probabilities for each category, reading testing data, and calculating final probabilities. This research aims to evaluate student satisfaction with lecturers' teaching at the LP3I Polytechnic, Padang Campus. The data used in this research was 574. The results of research with 574 data (516 training and 58 testing) showed that 52 data (89.648%) stated "Very Satisfied", while 6 data (10.344%) stated "Satisfied". Prediction accuracy reached 98.28%. However, when using the Naïve Bayes method with 574 data (574 training and 574 testing), 397 data (69.078%) stated "Very Satisfied" and 177 data (30.798%) stated "Satisfied". Without the Naïve Bayes method, 402 data (69.948%) stated "Very Satisfied" and 172 data (29.928%) stated "Satisfied". An improvement of 0.87% occurred for the "Very Satisfied" category and -0.87% for "Satisfied". There are no differences in percentages for other categories. From the comparison of results, it can be seen that the Naïve Bayes method is superior in predicting student satisfaction levels compared to calculations without this method. Therefore, it can be concluded that the Naïve Bayes process model is suitable for use as a method for determining good decisions in predictions
Perbandingan Tingkat Optimalisasi Metode K-Nearest Neighbor Dan Naïve Bayes Dalam Klasifikasi Kelayakan Alat Laboratorium Kimia Sri Mulya; Gunadi Widi Nurcahyo; Billy Hendrik
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.357

Abstract

Classification of the appropriateness of equipment in the laboratory is needed by university management to determine future laboratory development steps. The suitability of laboratory equipment can be influenced by various factors, so it is necessary to know which variables are crucial in influencing the condition of the laboratory equipment's suitability. Data mining techniques can be used to explore new knowledge so that it can produce appropriate laboratory equipment. Some algorithms that can be used are K-Nearest Neighbord and Naive Bayes. The aim of this research is to compare the level of optimization of two methods in classifying the suitability of Chemistry laboratory equipment at FMIPA Unand using the K-Nearest Neighbor and Naive Bayes methods. The attributes used are year of procurement, level of use, level of damage, length of use of the tool, and condition of tool accessories. The data used is Materials Chemistry laboratory equipment, FMIPA, Andalas University from 2010-2023 with a total of 105 data. The research results show that the accuracy level of the Naive Bayes Method is better than the K-Nearest Neighbor Method. This is proven by the results of the Rapidminer test, which obtained the highest accuracy of 94.74% at a total testing data of 30% of the total data, while for the K-Nearest Neighbor method, the highest accuracy was obtained at 79.03% at a total testing data of 50% of the total data. It is hoped that the results of the tool classification can serve as guidance and evaluation to support the development of the FMIPA Chemistry laboratory at Andalas University
Implementasi K-Means Clustering Dalam Analisa Soal Ujian CBT Universitas Baiturrahmah Rico Anggara; Sarjon Defit; Billy Hendrik
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.367

Abstract

Computer-based exams (CBT) are a type of exam where participants take the exam using a computer or digital device. CBT has become a common choice in exam administration. Exam question management is important for CBT success. Participants answer digital questions via a computer interface, and the results are processed automatically by the computer system. The results of this test can be used to assess student understanding and as a learning evaluation. This research aims to group exam questions based on participants' answers. The method used in this research is K-Means Clustering. This method has 5 stages, namely cluster center initialization, data grouping, calculation of new cluster centers, convergence and evaluation of results. This process repeats until the cluster center does not change any more or convergence has been achieved. Next, the K-Means Clustering algorithm is applied to group exam questions into appropriate clusters. This grouping process is carried out by considering the similarities between the exam questions based on the number of correct answers and the number of incorrect answers. Dataset source from UPT CBT, Baiturrahmah University. The question dataset consists of 100 exam questions that have been tested on students at the Faculty of Medicine, Baiturrahmah University. The results of this research can group exam questions into groups of difficult questions, medium questions and easy questions. This research can be a reference for academics in evaluating exam questions created by lecturers and can evaluate the level of understanding of students at Baiturrahmah University.
Sistem Pakar Identifikasi Jurusan Yang Sesuai Dengan Minat Bakat Siswa Nella Novrina Doni; S Sumijan; Billy Hendrik
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.373

Abstract

The Certainty Factor method can help overcome this complexity by providing a level of confidence regarding major recommendations. Certainty Factor allows an expert system to measure the level of confidence or uncertainty associated with each knowledge rule or fact used. Each rule contributes to the overall confidence level, and this can provide an idea of the extent to which the system is confident in the recommendations it produces. In complex decision making, various knowledge rules can influence each other. The Certainty Factor method allows the integration of belief values from interrelated rules, providing a holistic picture of the extent to which evidence supports a conclusion. In some cases, knowledge rules may provide contradictory or conflicting information. Certainty Factor can be used to handle information conflicts by assigning a weight or level of confidence to each piece of information, so that the system can produce more accurate recommendations. Certainty Factor provides a mechanism for measuring the level of uncertainty in a decision. This is important when the available information is incomplete or there is uncertainty in the values used in the knowledge rules. By taking into account the level of uncertainty, the system can provide recommendations that are more realistic and appropriate to complex situations. The Certainty Factor method can be applied dynamically, allowing the system to adjust confidence levels over time or with the addition of new information. This is useful when students experience changes in interest or talent, so the system can provide more accurate and relevant recommendations..
Penerapan Teorema Bayes Pada Sistem Pakar Untuk Mendeteksi Dini Penyakit Tuberkulosis (Studi Kasus Di Rs. Tentara Dr. Reksodiwiryo Padang) Fadil Idensia; Y Yuhandri; Billy Hendrik
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.369

Abstract

Tuberculosis (TB) is an infectious disease that is still a global health problem, including in Indonesia. Early detection of this disease is crucial for effective treatment. In order to improve early detection of TB, this research aims to apply the Bayes Theorem method to the development of an expert system. The case study was conducted at Dr. Reksodiwiryo, Padang, where the percentage of Tuberculosis based on the method has been identified. The Bayes Theorem method is implemented in an expert system to provide early diagnosis to patients suspected of having TB. Expert system testing was carried out to evaluate the accuracy of the diagnosis, with an average calculation result using Bayes' theorem of 80%. The results of this research indicate that the application of Bayes' Theorem in an expert system can be an effective tool in early detection of Tuberculosis. The practical implication of this research is to increase the capabilities of the Dr. Army Hospital. Reksodiwiryo Padang in treating TB early and accurately, as well as contributing to efforts to prevent and control this disease more efficiently.
Prediksi Volatilitas Harga Jual Produk Pada E-Commerce Untuk Independent Stockashtic Data Abdi Julianto, Dwana; Febby Olivia, Ladyka; Hendrik, Billy
Jurnal Sains Informatika Terapan Vol. 2 No. 2 (2023): Jurnal Sains Informatika Terapan (Juni, 2023)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v2i2.166

Abstract

The development of technology and information has changed people's behavior from an industrial society to an innovative society. This change can be seen from the growth of people's consumption habits from trading through physical stores (offline) to trading through electronic systems, or what is often referred to as. Online shopping. The logistics service is a distribution operator in the downstream region, whose job it is to deliver products from the delivery center of the online store to the end customer. Logistics services must fulfill consumer demands in accordance with the Service Level Agreement (SLA). Uncertain demand is the biggest challenge for logistics service providers. As in the case study used in this study, PT ABC experienced an overload when fulfilling requests from PT XYZ, an e-commerce company. The overload was caused by PT ABC's reluctance to face a very significant increase in demand due to changes in the selling price of product A at PT XYZ's online store. This study proposes a model to predict the selling price of product A at PT XYZ's online store using a Monte Carlo simulation model with independent variables. The simulation was run with 1000 trials and produced the lowest MAPE out of 322 trials, namely 0.122%.
Perancangan Sistem Inventory Untuk Stok Barang Herbisida Pada UD. Anugrah Jaya Tani Dengan Bahasa Pemrograman PHP dan Database MySql Amelia Sari Lubis, Fitri; Sahara Lubis, Siti; Hendrik, Billy
Jurnal Sains Informatika Terapan Vol. 2 No. 2 (2023): Jurnal Sains Informatika Terapan (Juni, 2023)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v2i2.167

Abstract

Advances in information and communication technology are growing rapidly in all directions so that a lot of information is produced from technology and is applied in various fields. In the field of information technology, an inventory system is also needed which is used to view the stock of goods at UD. Anugrah Jaya Tani. UD. Anugrah Jaya Tani is a kiosk that sells various herbicides. The use of chemical herbicides is intended so that they do not affect cultivated plants but affect the growth of weeds. Therefore, it takes herbicides or substances that are selective and precise in controlling weeds. Inventory systems are one of the parts that can also be developed with the existence of internet resources. The internet can play a role in facilitating activities. This is because inventory activities require communication between the parties involved in this matter. The purpose of using an inventory system where the most basic is being able to align customer demand with existing supply or control existing inventory. The results of this study are to determine the amount of stock of goods to be marketed, create a system that can be accessed by anyone, and create an attractive consultation layout. Inventory is storage owned by a company to be traded or used for company operations. All items are referred to as an inventory system, depending on the type of the Company's business
Studi Literatur Sistem Penilaian Esai Otomatis Pada E-Learning Dengan Algoritma Winnowing Amir Salim Khairul Rijal; Billy Hendrik
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1227

Abstract

Such quick change in information technology and computers have required changes in the educational paradigm, particularly in teaching and learning methods. Computer applications are software services that use computers as the medium. Programming language is the language used in computing to create programs. An algorithm, a systematic sequence of steps, is used to solve a problem, and an example of one of these is the Winnowing algorithm. The Winnowing algorithm is a document fingerprinting method that utilizes hashing to detect text similarities. In an essay exam, an instructor must carry out a manual assessment by checking and correcting each participant's answers. Currently, automatic assessment is still generally limited to multiple choice questions. The purpose of this study is to investigate the extent to which previous studies have examined the assessment of essay questions using the Winnowing algorithm. The results of the study indicate that the application of the Winnowing algorithm in automatic evaluation of essay responses on online learning platforms (e-learning) provides good and stable results, and has a high degree of accuracy.
Implementasi Sistem Pendukung Keputusan Dengan Metode Weighted Product Untuk Pemilihan Peptisida Terbaik Di UD Rizky Tani Fitri Amelia Lubis; Billy Hendrik
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1530

Abstract

The development of a sophisticated era means that we cannot be separated from electronics and the sophistication of the times and their electronics. UD.Rizky Tani is a kiosk selling fertilizer, herbicides, pesticides and others. This kiosk was founded by Mrs. Ros Mintana Nasution, located in Sayur Mahincat Village, Padang Lawas Regency, North Sumatra. This lady is the wife of Mr. Jimmi Bugis Lubis as the owner of UD Anugrah Jaya Tani so the two of them set up two kiosks. At this kiosk, it is necessary to know what the best pesticides are to make it easier for the kiosk and the people who need it, and so that people can be sure that the best pesticides have been created. A decision support system has been created to make it easier to determine the best pesticides. The method used is the Weighted Product (WP) method, which is a popular multi-criteria analysis decision and is a multi-criteria decision making method. Like all FMADM methods, WP is a finite set of decision alternatives described in terms of some decision criteria.
Co-Authors A'yuni, Qurrata Abdi Juliantho, Dwana Abdi Julianto, Dwana Ade Saputra Ade saputra Afifah Syahidah Nahda Akbar, Syifa Chairunnissa Deliva Akhiruddin Pulungan Amin Amirul Mukminin, Andi Amin, Andi Amir Salim Khairul Rijal Amir Salim Khairul Rijal Amri, Yassirli Andi, Muhammad Yusril Haffandi Aprilian Gevindo Arby, Willya Aswandi, Nopan Awal, Hasri Budiantoro, Hendro Deti Karmanita Dewi, Apriandini Sri Dian Maharani, Dian Diffri Solihin Siregar Doni Karseno Dwana Abdi Juliantho Dzil Hidayati Fadil Idensia Febby Olivia, Ladyka Firdaus Firdaus Firdaus , Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Fitri Amelia Lubis Fungki Wahyu Gevindo, Aprilian Ghinaa Fadhiilah Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Haffandi, Muhammad Yusril Harry Theozard Fikri Hasibuan, Elpina Sari Dewi Hasri Awal Hasri Awal Hasri Awal hidayat, Ilsa Ikhlas, Ariza Indhira, Sonia Juliantho, Dwana Abdi Karseno, Doni Ladyka Febby Olivia Lubis, Fitri Amelia Sari Lubis, Fitri Sari Lubis, Siti Sahara Mardhiah Masril Muhammad, Imam Fakhri Nasution, Ayu Lestiani Nella Novrina Doni Nugraha, Fajri Olivia, Ladyka Febby Ondra Eka Putra Permana, Nabilah Putri Putri Ramadani Raharjo, Tio Doli Resnawita Resnawita Resnawita Rico Anggara Ridwan, Ridwan Riris Agustin Riris Agustin Ritna Wahyuni Rizqi Nusabbih Hidayatullah Gaja Roy Efendi Subarja Roy Efendi Subarja Ruri Hartika Zain Ruri Hartika Zain Ruri Hartika Zain Rusydi, Rezki S Sumijan Sahara Lubis, Siti Sani, Fadhila Putri Santriawan, Aji Sari, Ade Puspita Sarjon Defit Satria Satria, Satria Septiawan, Edo Siti Sahara Lubis Siti Sahara Lubis Sonia Indhira Sonia Indhira, Sonia Sovia, Rini Sri Mulya Subarja, Roy Efendi Sukardi Sukardi Sumijan Supperianto, Bambang Suri, Melati Rahma Sutri, Ridwan Syafri Arlis Tamin, Zulfiqar Uthama, Rayhan Vidyanti, Angela Waruwu, Kalfinus Wira, M Wira Sanjaya Wirdawati, Wira Yanto, Musli Yuhandri Yuhandri, Yuhandri Yuliana Pertiwi