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Journal Information System Development
Published by Universitas Pelita Harapan
ISSN : 2477863X     EISSN : 25285114     DOI : https://dx.doi.org/10.19166/isd
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Jurnal Information System Development (ISD) hadir sebagai wadah bagi para Akademisi, Developer, Peneliti, dan Ilmuwan yang hendak menyumbangkan karya ilmiahnya bagi dunia ilmu pengetahuan di bidang Sistem Informasi. Jurnal yang diterbitkan oleh Prodi Sistem Informasi Universitas Pelita Harapan ini menerima publikasi hasil pengembangan atau penelitian terbaru di bidang Sistem Informasi. Topik-topik meliputi pengembangan software desktop, web, mobile, database system, artificial intelligence, data warehouse, data mining, UI/UX programming, IT infrastructure, Internet of Things, Game Development, Cyber Security, dan topik-topik lainnya. Setiap tahunnya, Jurnal ISD terbit dalam dua (2) periode yaitu pada Bulan Januari dan Juli
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 24 Documents
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Search results for , issue "Vol 3, No 1 (2018): Journal Information System Development (ISD)" : 24 Documents clear
PERANCANGAN SISTEM INFORMASI SUMBER DAYA MANUSIA PADA PT SUMATRA SARANA SEKAR SAKTI Darwin Purba Sugumonrong
Journal Information System Development Vol 3, No 1 (2018): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

Sistem Informasi Sumber Daya Manusia (SDM) di PT Sumatra Sarana Sekar Sakti adalah sistem informasi terkomputerisasi yang akan menggantikan manusia manual proses manajemen sumber daya. Saat ini, sudah biasa ditemui keluhan dari karyawan sebagai pengguna sistem karena fitur yang tidak memadai. Apalagi beberapa karyawan proses administrasi seperti cuti, ketidakhadiran, dan perjalanan bisnis masih diproses secara manual menggunakan Microsoft Excel. menurut fakta fakta tersebut, HRIS ditetapkan sebagai topik penelitian ini. Metode yang digunakan dalam pengembangan sistem ini adalah dengan menggunakan metode SDLC, dimana pada langkah-langkah yang diambil adalah menganalisis kebutuhan, membuat perkiraan mengerjakan aplikasi, menganalisis dan merancang sistem dari aplikasi, mengimplementasikannya ke dalam bahasa pemrograman. Kesimpulan yang dapat ditarik dari penelitian ini adalah bahwa sistem informasi sumber daya manusia dapat mengurangi kesalahan dan memberikan kemudahan bagi administrasi perusahaan berupa perhitungan gaji yang lebih efisien serta metode pengarsipan yang lebih tersruktur.Kata Kunci: HRIS, sistem informasi, sumber daya manusia
KAJIAN ALGORITMA CRAIG RAYNOLD PADA KERUMUNAN (FLOCKING) Lit Malem Ginting; Binsar Siahaan; Bastian Situmorang; Riris Manik
Journal Information System Development Vol 3, No 1 (2018): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

Artificial Intelligence (AI) is a study of making computers that do things that today can be done better by humans. One application in the game is to mimic the behavior of animals in the wild. Set of animal in the wild are often called crowds, herds, schools and swarms. Crowds are animals that gather together in an irregular and unfocused way [4]. In 1987, Craig Reynolds [6] with his book "Flock, Herd, Schools: A Distributed Behavioral Model" invented a technique for simulating animal crowds in the wild. The technique is called flocking which is commonly known as "boids". In this study, an observation about the comparison of boids with the amount of resources used in a simulation game that will be given a device. The number of boid that will be used is 1-500 boid with cohession radius distance = 10 and 15, radius separator = 4 and save radius = 6 with the observation at the angle of 300 and 1800. Based on the results done, then the result is boids neighbor detection radius has a major effect on resource usage. Keywords: Artificial Intelligence (AI), Flocking, Craig Raynold, resource device
PERAN MEDIA PEMBELAJARAN DALAM PENINGKATAN PEMAHAMAN SISWA SEKOLAH DASAR PADA MATAPELAJARAN MATEMATIKA Nita Syahputri NIT; Ulfah Indriani
Journal Information System Development Vol 3, No 1 (2018): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

Mathematics is one of the subjects that tend to be less favored by students, especially the students of grade 1 primary school. The students prefer to draw or other mathematics that are visual compared to mathematics. Therefore, in this research try to combine the mathematical material in the form of visual which is animation and also use the character of drawing which is liked by the children, so that the student is more interested in the learning process of mathematics. Selection of programming in writing this research using macromedia flash application. With the help of information technology and programming languages, especially animation, there will be many benefits that can be obtained. In this case the teacher is easier in delivering the material and students more easily in absorbing the material delivered so that the learning process can run more effectively and efficiently. And with the role of this learning media can overcome the problem of lack of interest in learning students of mathematics subject matter and of course increase the value of students in exercises or exams conducted in schools. Keywords: Role; Media; Learning; Math
KLASIFIKASI DATA TIDAK SEIMBANG MENGGUNAKAN ALGORITMA SMOTE DAN k-NEAREST NEIGHBOR Rimbun Siringoringo
Journal Information System Development Vol 3, No 1 (2018): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

Unbalanced data classification is a crucial problem in the field of machine learning and data mining. Data imbalances have a poor impact on classification results where minority classes are often misclassified as a majority class. k-Nearest Neighbor is one of the most popular and simple classification methods but it is not equipped with the ability to work on unbalanced datasets. In this study, the Synthetic Minority Over-Sampling Technique (SMOTE) was applied to solve the class imbalance problem on the Credit Card Fraud dataset. By applying the 10-cross-validation evaluation scheme, it was found that SMOTE increases the mean of  G-Mean by 53.4% to 81.0% and the mean of  F-Measure by 38.7 to 81.8%Keywords: Class imbalance, Synthetic Minority Over-sampling Technique, k-Nearest Neighbor

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