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Contact Name
Asep Erlan Maulana
Contact Email
dosen02716@unpam.ac.id
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+6281299366151
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jiup@unpam.ac.id
Editorial Address
Ruang Gugus Mutu Fakultas Ilmu Komputer Universitas Pamulang - Kampus Viktor Lt. 3 Jalan Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia
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Kota tangerang selatan,
Banten
INDONESIA
Jurnal Informatika Universitas Pamulang
Published by Universitas Pamulang
ISSN : 25411004     EISSN : 26224615     DOI : https://doi.org/10.32493
Core Subject : Science,
Jurnal Informatika Universitas Pamulang is a periodical scientific journal that contains research results in the field of computer science from all aspects of theory, practice and application. Papers can be in the form of technical papers or surveys of recent developments research (state-of-the-art). Topics cover the following areas (but are not limited to): Artificial Intelligence Big Data Business Intelligence Data mining Decision Support Systems Intelligent Systems Machine Learning Network and Computer Security Optimization Pattern Recognition Soft Computing Software Engineering
Articles 625 Documents
Penerapan Metode Dempster-Shafer pada Sistem Pakar Diagnosis Penyakit dan Hama Tanaman Manggis Meita Arifany
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.13254

Abstract

Manggis merupakan salah satu buah yang memiliki prospek komoditas ekspor yang cerah, tetapi tidak semua buah manggis layak untuk diekspor. Salah satu faktor penyebab karena adanya serangan penyakit dan hama yang mengakibatkan penampilan buah kurang menarik. Kurangnya pengetahuan petani buah manggis terhadap hal tersebut mengakibatkan terjadinya keterlambatan penanganan. Diperlukan seorang pakar untuk membantu mendiagnosis penyakit dan hama yang menyerang tanamannya. Namun kehadiran seorang pakar terbatas, maka dari itu penelitian ini membangun sistem pakar berbasis website untuk mendiagnosis penyakit dan hama tanaman manggis. Data yang digunakan dalam penelitian terdiri dari 5 jenis penyakit dan 5 jenis hama dengan 42 gejala. Metode yang digunakan dalam mendiagnosis penyakit dan hama yaitu metode Dempster-Shafer. Berdasarkan 50 data uji simulasi yang dibuat secara acak, hasil perbandingan data uji kesesuaian antara diagnosis sistem dengan diagnosis pakar diperoleh sebesar 96%.
Ranca Bangun Sistem Monitoring Penilaian Santri Berbasis Web Fatih Munaya Khiyari
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.13892

Abstract

Ranca Bangun Sistem Monitoring Penilaian Santri Berbasis Web
Komparasi Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Menentukan Santri Terbaik pada Pesantren Modern Syahida Rizka Erliana Sari
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.15120

Abstract

Pesantren Modern Syahida adalah lembaga pendidikan berbasis agama yang memiliki tujuan untuk mendidik para santri menjadi individu yang beriman, bertakwa, bersikap baik, berpengetahuan luas, dan berkualitas. Salah satu cara untuk membangkitkan motivasi santri dalam proses belajar adalah dengan memberikan sebuah penghargaan atas kinerja mereka selama satu semester. Oleh karena itu, pemilihan santri terbaik diadakan.Proses pemilihan santri terbaik dilakukan dengan melakukan penilaian berdasarkan kriteria tertentu. Sistem yang berjalan sebelumnya hanya mengandalkan penilaian manual yang bersifat subjektif. Untuk mendukung proses pemilihan, perlu dibuat sebuah sistem penunjang keputusan terkomputerisasi yang dapat melakukan perhitungan dengan cepat dan akurat. Hal itu juga dapat mengurangi adanya kecemburuan antar santri karena perhitungan dianggap tidak adil.Dengan mengkomparasi dua metode Fuzzy Multi Attribute Decision Making (FMADM) yaitu metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), sistem pemilihan santri terbaik diharapkan mampu memperbaiki kekurangan yang ada pada sistem yang berjalan sebelumnya di Pesantren Modern Syahida. Kata kunci: sistem penunjang keputusan, santri terbaik, WP, TOPSIS
RANCANG BANGUN APLIKASI DATA MINING UNTUK MARKET BASKET ANALYSIS DENGAN ALGORITMA APRIORI Yono Cahyono
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.13400

Abstract

Data on very large sales transactions have information on consumer purchasing patterns for data mining processes. Market Basket Analysis is the process of analyzing transaction data to determine what products are most often purchased by consumers and to find associations and correlations between these items. Based on these problems, a system is needed to manage data on sales of goods transactions, based on trends that appear simultaneously in a transaction using the Apriori Algorithm. The Apriori algorithm is a data mining association rule whose purpose is to find the rules for a combination of an item by calculating the support and confidence values. By using the Apriori Algorithm, it is possible to bring up products based on frequent value calculations of a product with other products based on consumer purchase transactions. The use of the algorithm is expected to find consumer buying patterns. The results achieved are in the form of reports on the results of data mining patterns of purchasing goods that are often purchased simultaneously in order to determine marketing strategies in selling goods. Keywords: data mining; market basket analysis; apriori algorithm.
MODIFIKASI PARALLEL ENCRYPTION WITH DIGIT ARITHMETIC AND COVERTEXT (PDAC) MENGGUNAKAN KUNCI BERULANG Eka Ardhianto
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.13921

Abstract

The encryption process is the most important security technique, because it is used to hide information from unauthorized parties. With the ability to secure large amounts of data, encryption is of utmost importance. The aim of this research is to be able to hide a large amount of information by using a repetitive key to the solution for an odd number of plaintext characters for smooth encryption in PDAC. In this study, the mathematical operations of addition and subtraction are used to generate keys from ASCII codes. The result of this research is an increase in the capacity of information that can be secured
Reduksi Fitur untuk Optimasi Prediksi Penyakit Ginjal Kronis menggunakan Radial Basis Function Neural Network Candra Bella Vista; Wilda Imama Sabilla
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.12550

Abstract

Penyakit ginjal kronis menjadi salah satu penyebab kematian di dunia. Penderita penyakit ginjal kronis memerlukan perawatan yang cukup serius. Kenyataannya gejala dari penyakit ginjal kronis tidak dapat diketahui secara langsung, melainkan secara bertahap hingga kondisi ginjal pasien sudah tidak berfungsi dengan baik dan sulit disembuhkan. Karena itu menjadi penting untuk dapat mendeteksi sedini mungkin kemungkinan pasien menderita penyakit ginjal kronis. Prediksi penyakit ginjal kronis sudah cukup banyak dilakukan dengan berbagai metode data mining dan machine learning. Penelitian ini membandingan tiga metode reduksi fitur, yaitu Principal Component Analysis, Liniear Discriminant Component, serta gabungan Principal Component Analysis dan Linear Discriminant Analysis untuk mengoptimalkan prediksi penyakit ginjal kronis. Pada tahap pelatihan dan pengujian digunakan metode klasifikasi Radial Basis Function Neural Network. Hasil uji menunjukkan bahwa metode reduksi fitur gabungan Principal Analysis Component dan Linear Discriminant Analysis menunjukkan performa terbaik dengan nilai akurasi, recall, dan precision secara berturut-turut sebesar 93,5%, 91,1% dan 97,7%.
PENENTUAN REWARD GURU LES MENGGUNAKAN METODE PROFILE MATCHING Anton Setiawan Honggowibowo; Astika Ayuningtyas
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.15192

Abstract

Teachers are the spearhead to improve the quality of education because whether or not the quality of education is good or not, one of which will be determined by the teacher himself. Therefore, teachers need to be motivated and enthusiastic to teach more actively and diligently to share their knowledge with their students. In the learning process, teachers are required to be able to make innovations because students have their own uniqueness, so teachers are expected to be able to meet the needs of students in obtaining learning. The activities and workload of teachers in the world of education are currently increasing. The existence of awards in the form of rewards can increase the motivation of teachers in carrying out their duties and obligations. The criteria for a good teacher are not only seen from the criteria for education and experience, but other criteria are needed such as personality competence, pedagogical competence and social competence. These criteria will be the benchmark in selecting teachers who will receive rewards. The existence of an effective decision-making system to facilitate the determination of tutor rewards. The profile matching method is applied to obtain ranking search results that show the highest to the lowest scores for each teacher, from the ranking results, teachers are selected who will get rewards. The implementation of a website-based tutoring teacher reward application using the profile matching method can run well.
Web Service Untuk Transaksi Data Pada Aplikasi Sistem Informasi Kelembagaan Petani Dengan Metode Rest Risky Adit Pratama Risky Adit Pratama
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.13468

Abstract

Di era teknologi saat ini banyak sekali sistem yang saling terintegrasi meskipun melibatkan platform yang berbeda-beda. Untuk mendukung hal tersebut perlu adanya teknologi web service sebagai mekanisme interaksi antar sistem yang dapat menunjang interoperabilitas untuk kepentingan proses integrasi data dan pengembangan aplikasi kedepannya. Pada penelitian ini akan dibuat suatu web service untuk transaksi data pada aplikasi sistem informasi kelembagaan petani dengan metode REST agar proses interoperbilitas dapat berjalan dengan lancar dan memudahkan untuk pengembangan aplikasi kedepannya. Tujuan dari penelitian adalah menerapkan metode REST pada web service Sistem Informasi Kelembagaan Petani dengan menggunakan Lumen Micro Framework sebagai teknologi untuk mengembangkan web service. Adapun output dari web service ini berupa JSON sehingga proses komunikasi dan transaksi data pada aplikasi Sistem Informasi Kelembagaan Petani berjalan dengan baik sesuai dengan hasil pengujian yang dilakukan.
Evaluasi dan Perancangan dalam User Interface dengan Metode Spiral Cognitive Walkthrough pada Website Pens Muhammad Taufiq Kamaludin; Rosa Ardiani; Mirza Akrom Nunsyah; Wahyu Satrio Rizki; Yulianti Yulianti; Endar Nirmala
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.22633

Abstract

Awareness of the importance of creating in a broad business network awakens companies to make alliances with each other. The benefit of developing a network is that it makes the company more recognizable, thus creating a larger number of partners. Then the greater the opportunity to enlarge the business. One of these strategies can be done by developing a website, but most websites do not have expectations from interested parties, especially network users. this scenario encounters a problem that makes the user uncomfortable for aspects aspect of a website using the cognitive walkthrough method by involving only its use. The purpose of this research is to identify and analyze the problems faced by users when using the website as a research sample and provide recommendations for improving the website interface. The results of this test show that there are still many problems that users encounter when using the sample website on the freelance, partnership, and internship menus.
Pengujian Black Box pada Aplikasi Sistem Absensi Karyawan Berbasis Website Menggunakan Metode Equivalent Partitions (Studi Kasus: PT Esensi Indonesia) Aries Saifudin; Agil Muhammad; Andrian Fakhrizal; Eka Rahmat Mauluddin; Nahrowi Nahrowi; Sri Mulyati
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.17696

Abstract

PT. ESENSI INDONESIA is a Limited Liability Company registered and headquartered in Bandung. A LOCAL Facility Services company managed by professional Indonesian children who have extensive experience in the field of Facility Services at home and abroad and already has NPMA accreditation. Attendance is the most important thing for a company because it can encourage the amount of honorarium or salary of an employee and from attendance can also see the performance of employees who are present or not. Therefore, it is very necessary to be careful in implementation so as not to hinder the company's performance. The research technique used in this employee attendance system is the Equivalent Partitions Technique which includes the results of system research, system analysis, system design, system development, system implementation. In this system, the data processing process becomes more effective and efficient and finding data is guaranteed to be simpler. The purpose of this research is to help the company's performance, especially human resources to be disciplined and reduce attendance data fraud.

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