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Jurnal Informatika Kaputama (JIK)
Published by STMIK Kaputama Binjai
ISSN : 25489739     EISSN : 26855240     DOI : https://doi.org/10.59697/jik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Informatika Kaputama adalah jurnal resmi STMIK kaputama dalam bentuk bunga rampai untuk menyajikan tulisan ilmiah berbagai disiplin ilmu pengetahuan yang ada hubungan atau keterikatan dengan ilmu komputer berupa hasil penelitian lapangan atau laboratorium maupun studi pustaka. Adapun fokus dan ruang lingkup jurnal adalah sebagai berikut 1. Clustering and Classification 2. Document Mining and Text Mining 3. Spatial Data Mining, 4. Multi-Agent Systems, 5. Bayesian Networks and Probabilistic Reasoning, 6. Computational Intelligence, 7. Soft Computing, 8. Database Management and Information Retrieval, 9. Computer Vision Pattern Recognition, 10. Genetic Algorithm, Machine Learning, 11. Neural Networks and Applications, 12. Optimization and Decision Making, 13. Self-Organizing Systems, 14. Fuzzy Logic, 15. Decision Support and Expert System 16. Business Intelligence, 17. Data Mining Application 18. Intelligence System, 19. Web and mobile Intelligence 20. Dan lain-lain
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 9 Documents
 1 
Search results for , issue "Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019" : 9 Documents clear
PERANCANGAN PROTOTYPE JARINGAN SENSOR MEMANFAATKAN JARINGAN WIFI MENGGUNAKAN ARDUINO UNO Suhada Suhada; Hasdari Helmi; A M H Pardede
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.157

Abstract

There is a waste in various rooms/buildings, for example, the room lights keep burning even though the room is not being used for lectures even on holidays, there must be a solution. Among the solutions is the availability of a sensing/monitoring system so that this situation can be monitored from a certain point/place in the building environment, for example, the Tunas Bangsa Academy Building. Thus this wasteful state can be reduced or even eliminated. One of the problems in building the provision of remote sensing systems is the high cost of the transmission media to be used. This problem can be overcome by utilizing existing networks, namely WiFi networks. Therefore, in this paper, a prototype sensor network is used to utilize existing WiFi networks to overcome the inefficiency (waste) of electrical energy in various rooms/buildings. From the results of the design of the sensor network can work well in WiFi network environments that can be used to monitor energy inefficiencies in a building's environment.
ENSEMBLE LEARNING DAN ANALISIS SENTIMEN PADA DATA ULASAN PRODUK Rimbun Siringoringo; Resianta Perangin Angin; Mufria J. Purba
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.161

Abstract

The majority of internet users are currently searching the internet before buying certain products. One consideration of prospective buyers is product reviews (product review). Prospective consumers can decide to buy a product because it is influenced by reviews with positive sentiments, or decide not to buy a particular product because it is influenced by a negative sentiment review. Product reviews are a way of delivering consumer opinions and sentiments to a product online. In essence, the product review data mined directly from the database is unbalanced, between positive sentiment and negative sentiment. This condition makes it difficult for machine learning algorithms to perform classification and clustering functions. In this study, sentiment analysis was conducted based on Trendy Shoes products from Denim Shoes. The stages of sentiment analysis consist of data collection, initial processing, data transformation, feature selection and classification stages using SMOTEBoost. Initial processing applies the stages of text mining namely case folding, non alpha numeric removal, stop words removal, and stemming. The results of sentiment analysis were measured using the criteria of Accuracy, G-Mean, and F-Measure. By applying the test to two types of sentiment data, the results show that SMOTEBoost can classify sentiments well. SMOTEBoost's performance is compared to other ensemble techniques namely ADABoost, RUSBoost, and SMOTEBagging. Classification results of review_1 data, SMOTEboost is better in accuracy and G-Mean. While for the review_2 data, SMOTEBoost has better results for all criteria, both accuracy, F-Measure and G-Mean 
RANCANG BANGUN APLIKASI PIUTANG USAHA PADA BADAN USAHA MILIK DESA (BUMDES) BERSAMA CAHAYA MANDIRI KECAMATAN SIANTAN Ardiyansyah Ardiyansyah; Fajar Kurniawan
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.162

Abstract

Badan Usaha Milik Desa (BUMDES) Bersama Cahaya Mandiri adalah usaha desa yang didirikan oleh pemerintah desa yang pengelolaannya dilakukan oleh pemerintah desa dan masyarakat Kecamatan Siantan. Dalam pengelolaannya membutuhkan sebuah aplikasi untuk mempermudah proses input data anggota, data kelompok, data usaha, data peminjaman, data pembayaran, serta laporan transaksi  maupun laporan keuangan dikarenakan penyimpanan data yang masih menggunakan kertas membutuhkan waktu cukup lama untuk pencarian data. Dalam pembuatan laporan sering kali terjadinya kesalahan dalam penulisan jumlah dana sehingga untuk memperbaiki perhitungan harus diulang kembali. Sehingga peneliti tertarik untuk membangun aplikasi piutang usaha pada Badan Usaha Milik Desa (BUMDES) Bersama Cahaya Mandiri Kecamatan Siantan. Dalam Pembuatan aplikasi ini menggunakan software Microsoft Visual Studio 2010 untuk merancang dan membuat desain programnnya, Crystal Report For Visual Studio yang berfungsi untuk membuat laporan, database yang digunakan adalah MySQL. Dengan adanya aplikasi ini diharapkan dapat meminimalisir terjadinya kesalahan dan dapat menghemat waktu.  
ANALISA DAN RANCANGAN SISTEM INFORMASI MANAJEMEN ADMINISTRASI PEMBERDAYAAN KESEJAHTERAAN KELUARGA KOTA SIBOLGA Imran Lubis; Divi Handoko
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.164

Abstract

Family welfare empowerment (PKK) is a community organization with 10 main programs that empower women to participate in Indonesia's development. The administrative process that has not been properly systemmed causes less optimal and efficient provision of data and information. In this study, the technique of developing the PKK Management Information System applies the Rapid Application Development (RAD) method, where this method has the advantage of being short and fast. The results of the SIM PKK design can provide convenience in providing accurate, fast data for policy making and also able to improve performance and efficiency in KDP organizations.
MEDIA PEMBELAJARAN INTERAKTIF PENGENALA REPRODUKSI PADA HEWAN DAN TUMBUHAN BERBASIS MULTIMEDIA Achmad Fauzi
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.175

Abstract

In the world of today's education teacher educators and parents who give a lot of information about the reproduction of animals and plants is to deliver orally. In this way children sometimes difficult to grasp the meaning of what is being said by the teacher because it was considered less attractive.There are still many schools are only concerned with cognitive aspects and less looked at the issue of student motivation. It also occurs on the level of Elementary School (SD), especially on the subjects of science (IPA) on the reproduction of animals and plants. Background of the authors formulate the lack of interactive media is used to introduce to the students about how animals and plants reproduce. Lessons in SD Taman Siswa still conventional.            In this research, problem definition to be more focused and detailed. The results of this interactive learning is the author can facilitate students in the learning process or method of reproduction of the breeding of animals and plants are more communicative by using Adobe Flash CS6 software. 
PERANCANGAN PERANGKAT LUNAK PEMBELAJARAN AUTHENTICATION DAN DIGITAL SIGNATURE SCHEME DENGAN METODE SIMULASI SCHNORR HOTLER MANURUNG
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.177

Abstract

At present, data or information security is very important to be carried out by various parties who communicate with each other, where security in the data transmission process has developed quite rapidly, one of which is cryptography. In computer lectures, cryptography is one of the courses taught. Cryptographic learning becomes very important for computer students to know the ways to secure data. In writing this research, we will explain how to secure data using Schnorr simulation through a learning media. The important points in this simulation are how to find out the procedures or processes carried out in key formation, authentication and digital signatures. The purpose of making this learning media application is to make research easier to understand cryptography, especially authentication and digital signatures, with the existence of this application it is expected to improve the process of understanding researchers towards authentication and digital hands. 
RANCANG BANGUN SISTEM INFORMASI PERAWATAN MESIN PRODUKSI KERAMIK DAN GRANIT PADA PT.JUISHIN INDONESIA ADNAN Buyung Nasution
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.178

Abstract

Care information system is the application of technology that many do at this time is none other eraglobalisasi to help care reporting system administration in a structured and automatic machines, as well as in this study conducted implementation of information systems production machinery maintenance ceramic and granite machines at PT. Juishin Indonesia where to do the implementation of information systems to minimize the problems that are often experienced in doing the preparation of the administration of production machinery maintenance including difficulty in entering the data with terestruktur due in data storage does not use the database system so that it will menylitkan in preparing the report well, but it also difficulty in searching the data based on specific production engine damage. By doing so, the goal of this research is done to facilitate the administration to perform data entry and also facilitate the search for the required data as information that affect the decision atasan.dan keputusa a conclusion in this research that the information system of ceramic production machinery maintenance and granite effective in its application.
ANALISIS KOMPARASI ALGORITMA KLASIFIKASI DATA MINING UNTUK PREDIKSI STATUS KELULUSAN MAHASISWA AKADEMI BINA SARANA INFORMATIKA Reza Maulana; Devy Kumalasari
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.163

Abstract

The role of data mining in solving a large data problem includes estimation, prediction, classification, clustering and association. One of the roles of data mining used in this study is the classification to predict the graduation of Bina Sarana Informatika students in 2017 with the provision of passing on time and passing late. The algorithm used is the Decision Tree, K-Nerest Neighbor, Naïve Bayes, Random tree and Random Forest. The number of students graduating in the 1st period of 2017 was 5870 where there were 4998 students graduating on time and 872 graduating late. Performance testing of several algorithms using validation and different tests T-Test The k-NN algorithm has a high accuracy value of 99.98% which is the highest value and the best AUC is obtained by the Naïve Bayes algorithm with a value of 1,000. While the difference test is t-test significance <0.05, then H0 is rejected and if> 0.05 then H0 is accepted, only Decision Three against Naïve Bayes is accepted, otherwise it is rejected. 
PENGELOMPOKAN PENDISTRIBUSIAN PRODUK OLAHAN AYAM MENGGUNAKAN ALGORITMA K-MEANS Heri Gunawani; Ria Eka Sari; Sari Rizky
Jurnal Informatika Kaputama (JIK) Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jik.v3i2.179

Abstract

Increasing population growth in Indonesia has triggered a large number of food product demand, so the higher the level of innovation of the company to produce processed food. PT Charoen Pokphand Indonesia Food Division is one of the companies engaged in processed food made from chicken meat. However, companies currently have not been able to process distribution data and rely solely on information from sales data to find out the number of product sales with which brands are sold the most each year. In fact, it is not enough to increase income and to be able to compete with other similar companies. From the existing data stack, it must be processed to find out new information from these data. Data processing methods like this are referred to as data mining. the results of cluster 3, again - it is seen that consumer characteristics in cluster 3 are also dominated by consumers who are more interested in Okey's processed chicken products, which is as much as 5615.67 Pack / Box. Whereas for enthusiasts in processed chicken products with the Fiesta brand as many as 4614.67 Pack / Box. and enthusiasts of processed chicken products under the Champ brand 1792.67 Pack / Box. So, from all clusters, it can be concluded that cluster 3 consists of cities with the lowest sales level.

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