Bulletin of Information Technology (BIT)
Jurnal Bulletin of Information Technology (BIT) memuat tentang artikel hasil penelitian dan kajian konseptual bidang teknik informatika, ilmu komputer dan sistem informasi. Topik utama yang diterbitkan mencakup:berisi kajian ilmiah informatika tentang : Sistem Pendukung Keputusan Sistem Pakar Sistem Informasi, Kriptografi Pemodelan dan Simulasi Jaringan Komputer Komputasi Pengolahan Citra Dan lain-lain (topik lainnya yang berhubungan dengan teknologi informasi)
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<![CDATA[Optimasi Algoritma K- Nearest Neighbor Berbasis Particle Swarm Optimization Untuk Meningkatkan Kebutuhan Barang ]]>
<![CDATA[Taofik Safrudin]]>;
<![CDATA[Gatot Tri Pranoto]]>;
<![CDATA[Wahyu Hadikristanto]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.724
<![CDATA[Abstract− The application of the K-Nearest Neighbor algorithm can be implemented where the results also show a new insight, namely predicting the level of need. With a ratio of 90%:10%, where there are 50 data objects tested to predict the level of needs in 2 groups, namely low needs or high needs. The results of the model scenario show that there are 2 objects in the Low needs group and 1 object in the High needs group. In evaluating this model, it was obtained from 10 fold Cross Validation that the Accuracy value was 82%, then the Precision value was 87.50%, and the Recall value was 80%. By measuring the performance of the model with Cross Validation, the resulting accuracy has a standard value or standard deviation, which aims to see the distance between the average accuracy and the accuracy of each experiment. While the Test Results using PSO In the evaluation of this model, it is obtained from 10 fold Cross Validation the Accuracy value is 100%, then the Precision value is 100%, and the Recall value is 100%, the test results have increased significantly]]>
<![CDATA[Klasifikasi Kebutuhan Sparepart Dengan Algoritma K-Nearest Neighbor Untuk Meningkatkan Penjualan Sparepart ]]>
<![CDATA[Virza Putra Virza]]>;
<![CDATA[Gatot Tri Pranot]]>;
<![CDATA[Fibi Eko Putra]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.729
<![CDATA[Adequate supply of spare parts will be a supporting factor for consumer confidence in the company. The classification method approach can be applied in analyzing data to apply data mining with the classification method for spare parts needs generated by utilizing data testing consisting of 100 record datasets with a ratio of 90% training data (training data) and 10% test data (data testing). . Implementation of the K-Nearest Neighbor algorithm model on test data (data testing) of 100 data objects, obtaining results that show a new insight in the form of classification of low and high level needs based on 2 categories. No is a category of light needs, consisting of 89 data objects, the category Yes is a category of high needs. Performance evaluation and testing using the RapidMiner Sstudio application is able to provide optimal results with the scenarios that are modeled. This algorithm model has an Accuracy value of accuracy: 93.00% +/- 6.40% (micro average: 93.00%).]]>
<![CDATA[Pengelompokan Penerimaan Mahasiswa Baru Dengan Algoritma K-Means Untuk Meningkatkan Potensi Pemasaran ]]>
<![CDATA[Daniel Tambun Daniel]]>;
<![CDATA[Sifa Fauziah]]>;
<![CDATA[Muhtadhuddin Danny]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.732
<![CDATA[Utilization of the existing PMB dataset through the clustering method approach can be applied in analyzing the rate of acceptance of new students. The K-Medoid Cluster algorithm model that is applied has results that show a new insight, namely the grouping of new student acceptance rates based on 3 clusters, cluster 1 (C0) is a high level consisting of 49 data from 86 datasets tested and cluster 2 (C1) is a low level consisting of 11 data from 86 datasets tested and cluster 3 (C2) is a medium level consisting of 26 data from 86 datasets tested. The results of the Davies Bouldin Index or DBI value are based on the RapidMiner Studio application obtained from data testing, with a Davies-Bouldin Index evaluation value of 0.769. Keywords: Data Mining, K-Medoid Cluster, Klastrer, PMB]]>
<![CDATA[Prediksi Jumlah Kasus Klaim Indemnity Dengan Menggunakan Algoritma Regresi Linear Pada Asuransi Mandiri Inhealth ]]>
<![CDATA[Qori yumansyah Qori]]>;
<![CDATA[Ahmad Turmudi Zy]]>;
<![CDATA[Muhamad Fatchan]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.733
<![CDATA[Insurance is a type of financial institution that aims to provide guarantees to customers against risks that may occur in the future. In this study, by utilizing some data on indemnity claim cases on inhealth insurance through a prediction method approach and can be applied in analyzing data to make predictions of future insurance data based on the level of need. The prediction process of a simple Linear Regression algorithm can be implemented where the results also provide new insights for the prediction needs of claim data. Tests using rapidminer produce performance that is relevant to the scenario being modeled. The simple Linear Regression equation model after comparing the results of calculations manually and also with the Rapid Miner application generally shows the same data. The RMSE value is also obtained when evaluating the performance of the applied model, with an RMSE value of 0.273 with a standard deviation of +- 0.0.]]>
<![CDATA[Klasterisasi Stok Produk Retail Untuk Menetukan Pergerakan Kebutuhan Konsumen Dengan Algoritma K-Means ]]>
<![CDATA[Niko Suwaryo Niko]]>;
<![CDATA[Arif Rahman]]>;
<![CDATA[Dewi Marini Umi Atmaja]]>;
<![CDATA[Amat Basri]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.736
<![CDATA[− Retail product clustering is a product arrangement that is adjusted to the flow of placement or this layout is more suitable for product placement according to standards. Utilization of existing data through the clustering method approach can be applied in analyzing product grouping of data on availability and inventory of goods in warehouses so that it can provide knowledge and information. The clustering method is processed using the K-Means algorithm, where the results also show a new insight, namely grouping products based on 3 clusters. Cluster 1 is a product category with low availability or Low, namely 939 out of 1000 availability categories based on the number of products tested, then cluster 2 is a product category with medium or Medium availability, namely 51 out of 1000 availability categories based on the number of products tested, and finally cluster 3 is a product category with fairly high availability or High, namely 10 out of 100 availability categories based on the number of products tested. Tests using Rapid Miner tools can also produce similar insights, namely that each cluster has cluster group members according to manual calculations such as Cluster_0 in Rapid Miner has 51 cluster members representing the Medium cluster, Cluster_1 has 939 cluster group members representing the Low cluster, and Cluster_2 has 10 cluster members corresponding to the cluster representation High.]]>
<![CDATA[Prediksi Penyakit Diabetes Untuk Pencegahan Dini Dengan Metode Regresi Linear ]]>
<![CDATA[Niko Suwaryo Niko]]>;
<![CDATA[Arif Rahman]]>;
<![CDATA[Dewi Marini Umi Atmaja]]>;
<![CDATA[Amat Basri]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.739
<![CDATA[Estimation is a method in which we can estimate the population value by using the sample value and which can model an equation to calculate the estimate i.e. a linear regression algorithm attempts to model the relationship between two variables by fitting a linear equation to observe the data. The application of a simple Linear Regression algorithm model can be implemented well and is able to provide a new insight for the need for predictions about the condition of diabetes data quality in controlling sugar levels in the body. Predictions of diabetes in the future can be known through the use of datasets using a prediction method approach through structured stages in analyzing the data used to produce an RSME value when evaluating a model of 0.000 +/- 0.000. Performance testing of the models and algorithms used in the evaluation can produce a picture that is relevant to the scenario being modeled. The RMSE value is obtained when evaluating the model performance of 0.000 +/- 0.000 through the RapidMiner Studio application.]]>
<![CDATA[Perancangan Game Sederhana Perancangan Game Sederhana Menggunakan Scratch Programming Sebagai Media Pembelajaran Visual Bagi Anak Usia Dini ]]>
<![CDATA[Yunus Yunus Anis]]>;
<![CDATA[Artin Bayu Mukti]]>;
<![CDATA[Sri Mulyani]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.769
<![CDATA[This study aims to design a simple game using Scratch Programming as a visual programming language learning media for early childhood. This article describes the implementation stages of game design and the evaluation of learning media carried out. The literature review reviews the advantages of Scratch Programming as a learning medium for children and previous related research. In the implementation of game design, game concepts are designed using Scratch Programming, and simple game examples are generated. Evaluation of learning media is carried out to collect evaluation data from participants using relevant methods. The results of the evaluation of learning media and the discussion of research findings provide information about the effectiveness of game design using Scratch Programming. The results of this study indicate that designing simple games using Scratch Programming can be an interesting and effective learning medium for young children in learning visual programming languages. The implication of this research is further development in game design and the use of visual programming languages in early childhood education. Suggestions for further research are to involve more participants and explore more complex programming concepts.]]>
<![CDATA[Media Pembelajaran Syariat Islam Pada Anak Usia Dini Berbasis Android ]]>
<![CDATA[Ghifron Akhiru Syahroni]]>;
<![CDATA[Shinta Esabella]]>;
<![CDATA[Eri Sasmita Susanto]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.791
<![CDATA[Limited facilities and low learning media infrastructure are two of the causes of the low quality of Indonesian education. This applies to children at TPQ Al-Ikhsan Dusun Boak Dalam, where learning methods still use books and whiteboards, which are relatively boring for children, and some material is still very difficult to understand. This disrupts the learning process. Then a solution is needed to answer this problem, namely by having an Android-based learning media application that includes Islamic law material for children. This study aims to develop an Android-based application that is specifically designed for learning media for Islamic law in early childhood at TPQ Al-Ikhsan Dusun Boak Dalam so that it makes it easier for children to understand learning material. The resultstugas of this study are in the form of an Android-based prototype of Islamic Shari'a learning media applications in early childhood that can help children understand learning material.]]>
<![CDATA[Analisis Gempa Bumi Di Indonesia Dengan Metode Clustering ]]>
<![CDATA[Arji Prasetio]]>;
<![CDATA[M. Makmun Effendi]]>;
<![CDATA[M. Najamuddin Dwi M]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.820
<![CDATA[Indonesia is known as an archipelagic country because it consists of thousands of islands stretching from Sabang in the west to Merauke in the east. Testing earthquake data using the K-Means algorithm, where the results also show a new insight, namely the grouping of earthquake-prone areas in Indonesia based on 3 clusters. Cluster 1 is a category of areas with a relatively low level of earthquake-prone areas in Indonesia, namely 209 out of 1113 categories of the number of cases based on the area tested, then cluster 2 is a category of areas with a moderate level of earthquake-prone areas in Indonesia, namely 863 out of 1113 the category of the number of cases based on the area tested, and finally cluster 3 is the category of area with a high level of earthquake-prone areas in Indonesia, namely 41 out of 1113 categories of the number of cases based on the area tested. Tests using the earthquake clustering method with the K-Means algorithm can produce clusters that have cluster group members according to manual calculations such as Cluster_0 in Rapid Miner has 209 cluster members representing the Low cluster, Cluster_1 has 863 cluster group members representing the Medium cluster, and Cluster_2 has 41 cluster members corresponding to the cluster representation High.]]>
<![CDATA[Rancang Bangun Robot Pengantar Obat dan Makanan Pasien Berbasis Internet of Things ]]>
<![CDATA[Edy Sopyan]]>;
<![CDATA[Dedi Suarna]]>;
<![CDATA[Muhammad Harun Ashar]]>;
<![CDATA[Mustakim]]>
<![CDATA[ Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bit.v4i3.839
<![CDATA[The rapid development of technology today, especially in the field of information technology, requires everyone to be able to follow it so as not to be left behind by other developing countries, especially regarding the use of technology. The goal to be achieved from this research is to design a robot that can ease the work of medical personnel, especially in delivering medicine and food to patients so that they no longer need to deliver it manually, just use a robot controlled by an application. The research method used is the waterfall method. Robot testing is done by testing the control distance to find out how far the robot can be controlled. This robot consists of 3 layers and has 4 wheels. The working system of this robot is controlled by 4 buttons namely forward, backward, left and right by the user through a control application. The command is sent to the NodeMcu Esp8266 which is then forwarded to the Motor Driver L298n as the overall voltage of the system is made to work properly.]]>
