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Jurnal Informatika
Published by Institut Informatika dan Bisnis Darmajaya
ISSN : 16933877     EISSN : 24071544     DOI : http://dx.doi.org/10.30873/ji.v20i2
Core Subject : Science,
Computer Science & IT
Jurnal Informatika. Jurnal Informatika adalah jurnal cetak dan elektronik sebagai media untuk mempublikasikan hasil penelitian dan pemikiran kalangan akademisi, peneliti dan praktisi bidang informatika. Jurnal Informatika Terbit 2 kali dalam setahun yaitu Bulan Juni dan Desember dengan No. ISSN : 1693-3877 dan No. e-ISSN : 2407-1544.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 310 Documents
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VIDEO RANCANGAN BY-PRO (SISTEM PENGUKURAN DAN PENDATAAN BALITA DI POSYANDU) Chyntia Raras Ajeng Widiawati; Indra Alan Nugroho; Irfan Rifai Aziz; Rizky Arsyansyah
Jurnal Informatika Vol 21, No 1 (2021): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v21i1.2869

Abstract

Integrated Healthcare Center (IHC) activity is important thing to do to make sure the toddlers health by measuring toddler's weight and height. Recently IHC activity is done by using manual measurement tools that is sometimes dangerous for the toddler, and it's quite troubled for IHC cadre in reporting and organizing data. It's needed in designing product that can support continuity of IHC activities so it can run safety and comfortably. This research will design a product BY-PRO, a main solution to solve the problems. The design consist of Arduino microcontroller as data processor, cell load sensor (weight), optocoupler modul (height), and censor K02 (touch sencor) connected to Android via modul (Bluetooth) HC-05. Android Application can be used by IHC cadre to show identity data and toddler measurement saved to database and distributed to web-based Information System to monitor realtime health by midwife. The design result is presented in a video, so it can give an overview of the designed product.Keywords— Toddler Height Measuring, Toddler Weight Measuring, Android, Arduino, Bluetooth, Website, Posyandu
ANALISA DAN PREDIKSI IKLAN LOWONGAN KERJA PALSU DENGAN METODE NATURAL LANGUAGE PROGRAMING DAN MACHINE LEARNING Hary Sabita; Fitria Fitria; Riko Herwanto
Jurnal Informatika Vol 21, No 1 (2021): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v21i1.2865

Abstract

This research was conducted using the data provided by Kaggle. This data contains features that describe job vacancies. This study used location-based data in the US, which covered 60% of all data. Job vacancies that are posted are categorized as real or fake. This research was conducted by following five stages, namely: defining the problem, collecting data, cleaning data (exploration and pre-processing) and modeling. The evaluation and validation models use Naïve Bayes as a baseline model and Small Group Discussion as end model. For the Naïve Bayes model, an accuracy value of 0.971 and an F1-score of 0.743 is obtained. While the Stochastic Gradient Descent obtained an accuracy value of 0.977 and an F1-score of 0.81. These final results indicate that SGD performs slightly better than Naïve Bayes.Keywords—NLP, Machine Learning, Naïve Bayes, SGD, Fake Jobs
SISTEM PAKAR FORWARD CHAINING , FUZZY-MAX DAN CERTAINTY FACTOR AYAM PEDAGING Asep Afandi; Dwi Marisa Efendi
Jurnal Informatika Vol 21, No 1 (2021): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v21i1.2870

Abstract

Chicken farming is one of the promising business potentials, but in management and care, it is very important to determine the success of chicken farming. Often in the care of negligent employees so that they are exposed to disease outbreaks. With various types of diseases that attack the symptoms are very similar and even the same as other diseases, therefore an expert system can be used to diagnose a disease by looking at the characteristics of the disease suffered, and how the solution is to treat or prevent the disease In the study, it discusses 8 types of broiler diseases, where the expert system method used is the Fuzzy Max method, Forward Chaining, and Certainty Factor. From the results of the Fuzzy Max method, the results showed an accuracy of 80% - 90% for all types of diseases, while the Certainty Factor method showed 96% - 99% for all types of diseases.Keywords— Expert System, Fuzzy Max, Certainty Factor,  Forward Chaining.
METODE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY UNTUK MENENTUKAN FAKTOR TINGKAT PENERIMAAN PENGGUNAAN E-LEARNING Ferry Susanto
Jurnal Informatika Vol 19, No 2 (2019): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v19i2.1779

Abstract

This study aims to identify factors - factors that affect the level of user acceptance of e-learning in STMIK Surya Intan Kotabumi by lecturers as users, teachers and content developers. This study uses a model approach Unified Theory of Acceptance and Use of Technology (UTAUT) and models - other models. Model UTAUT dimofikasi by adding some variables to refer to the study - previous research. Variables used include performance expectancy, social influence, facilitating conditions, self-efficacy, information quality, system quality, service quality, behavioral intention, actual use and moderator usia..Langkah-step analysis of factors - factors is making a questionnaire derived from the model UTAUT, alter the results of a questionnaire by the method of successive interval (MSI). Furthermore, analysis of data using Structural Equation Modeling with Partial Least Square (PLS-SEM). PLS The data were processed using the application smartPLS. The results showed that only four variables that affect directly the use of e-learning (actual use) by lecturers at STMIK Surya Intan Kotabumi. These variables include interest for the use of e-learning (behavioral intention),influence the ability of professors to the use of e-learning (self-efficacy), influence the quality of information provided e-learning (information quality), and quality of service (service quality).Keyword : E-Learning, UTAUT, MSI, PLS-SEM, SmartPLS
PREDIKSI TINGKAT KESUKSESAN PROMOSI BANK DENGAN ALGORITMA DNN Oscar Oscar; Nurlaelatul Maulidah; Annida Purnamawati; Destiana Putri; Hilman F Pardede
Jurnal Informatika Vol 21, No 1 (2021): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v21i1.2866

Abstract

Telemarketing is one effective way for promoting products. However, it is often difficult to measure the success of telemarketing. Therefore, a way to predict the success rate of telemarketing, and hence strategies could be planned to increase the success rate. In this study, we evaluate several implementations of machine learning for prediction the success of telemarketing. The evaluated methods are Deep Neural Network (DNN), Random Forest, and K-nearest neighbor (K-NN). We validate our experiments using 10-fold cross validation and our experiments show that DNN with 3 hidden layers outperforms other methods. Accuracy of 90% is achieved with the DNN. It is better than Random Forest and KNN that achieve accuracies of algorithm and 88% and 89%.Keywords— Bank Marketing, DNN, KNN, Random Forest.
PEMANFAATAN TELEPON PINTAR TERHADAP INFORMASI PENYEBARAN LOKASI GURU SEKOLAH DASAR NEGERI BERSERTIFIKASI PROVINSI LAMPUNG MENGGUNAKAN JALUR PENDEK Septilia Arfida; Amnah -; Hariyanto Wibowo
Jurnal Informatika Vol 18, No 2 (2018): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v18i2.1313

Abstract

Perkembangan teknologi informasi di era globalisasi saat ini berlangsung sangat cepat  dalam kehidupan manusia untuk penyediaan dan pemberian informasi. Keberadaan sebuah informasi yang setiap saat dapat diakses, cepat, dan akurat menjadi hal yang sangat penting. Informasi yang diperlukan tentu harus mudah diakses oleh berbagai pihak yang memiliki kepentingan agar lebih efektif dan efisien. Salah satu perangkat yang dapat mengakses informasi dengan cepat adalah telepon pintar Android yang merupakan salah satu contoh pemanfaatan teknologi. Informasi dalam dunia pendidikan, menempati peranan yang sangat penting karena pendidikan dan informasi merupakan wahana dalam mengaktualisasikan semua potensi yang ada sehingga dapat meningkatkan dan mengembangkan sumber daya manusia. Salah satu informasi yang dibutuhkan adalah mengetahui penyebaran lokasi guru bersertifikasi tingkat Sekolah Dasar Negeri  di Provinsi Lampung. Aplikasi ini merupakan informasi terhadap penyebaran dari lokasi guru sekolah dasar negeri yang telah bersertifikasi berdasarkan  jalur pendek serta  menggunakan teknologi Android. Sehingga dengan adanya Aplikasi ini, diharapkan pendataan guru yang profesional atau yang sudah bersertifikasi untuk tingkat Sekolah Dasar Negeri berdasarkan jalur terpendek pada Provinsi Lampung dapat dipantau, serta diketahui  oleh Dinas Pendidikan kota Bandar Lampung. Selain itu juga memberikan informasi kepada pihak-pihak lain yang membutuhkannnya.Kata kunci: Penyebaran, Sekolah Dasar Negeri, Jalur Pendek
PENGELOLAAN DATA PRODUKSI BERBASIS WEB PADA CV. SUMBER PROTEINA BANDAR LAMPUNG T M Zaini; Driya Wiryawan; Aryadi Aryadi
Jurnal Informatika Vol 21, No 1 (2021): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v21i1.2871

Abstract

CV. Sumber Proteina is a company that engaged in animal husbandry that produces and distributes chicken eggs. The reporting process at this company is still done manually, so it takes quite a long time to be able to provide reporting data until it reaches the head office. Thus the report need long time to reach the manager. Based on this, this company need a website that can facilitate the delivery of reports and data processing reports, so as to minimize the time of sending data and managing data reports. Management of production data at this company can help decision-making parties at the management level to speed up the process of reporting and processing production data. The system development uses the RAD (Rapid Application Development) model and the design tool is the Unified Modeling Language (UML). The stages for developing RAD system begin at the planning requirements stage, the user design, the Rapid Construction stage and the cutover or system testing stage. The results of this study are in the form of a system that can provide information on the availability of chicken eggs and can also be used online for consumers.Keywords—Data Processing, Production, Report, Website.
PENGEMBANGAN MOBILE APPLICATION TRACER STUDY (STUDI KASUS : IBI DARMAJAYA) M. Miftakul Amin
Jurnal Informatika Vol 11, No 1 (2011): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v11i1.167

Abstract

IBI Darmajaya has several times held a tracer study. However, because the tracer study was done independently in each department, then it’s aspects vary greatly according to the interests of each department. Tracer studies also can not be used as a representing IBI Darmajaya’s graduates overall. This study presents an instrument by applying a tracer study in charging mobile application. Mobile application is built using the Wireless Application Protocol (WAP) as a content applications. The results of this study was obtained by a mobile software application that makes it easy for IBI Darmajaya’s graduates to fill out questionnaires of tracer study without experiencing barriers of distance and time.Keywords: Mobile Application, Tracer Study
SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN BEDAH RUMAH MENGGUNAKAN METODE ANALITYCAL HIERARCHY PROSESS (AHP) DAN MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS M. Abu Jihad Plaza R; Chandra Irawan
Jurnal Informatika Vol 20, No 2 (2020): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v20i2.2368

Abstract

Program bedah rumah adalah salah satu strategi pemerintah dalam membantu warga yang kurang mampu dan memiliki rumah layak huni. Dalam menentukan berhak dan tidaknya keluarga untuk mendapatkan bantuan bedah rumah memerlukan proses penyeleksian yang  berjalan sangat lambat dan dinilai kurang efisien dari segi waktu dan biaya serta dirasa kurang efektif. Pada penelitian ini menerapkan dua metode yaitu Analytical Hierarchy Process (AHP) untuk perhitungan bobot tiap kriteria dan Multi Objective Optimization on The Basis of Ratio Analysis MOORA digunakan untuk nilai perangkingan. Berdasarkan hasil penerapan metode AHP dan MOORA dalam sistem penunjang keputusan penerimaan bantuan bedah rumah dengan kriteria jumlah tanggungan, status rumah, kondisi rumah, status BSPS, penghasilan dan persiapan membangun rumah dengan status kelayakan lebih dari  atau sama dengan 0,25 Layak dan kurang dari 0,25 tidak layak. Kata Kunci : Sistem Penunjang Keputusan, AHP, MOORA
PREDIKSI TINGKAT PELANGGAN CHURN PADA PERUSAHAAN TELEKOMUNIKASI DENGAN ALGORITMA ADABOOST Iqbal Muhammad Latief; Agus Subekti; Windu Gata
Jurnal Informatika Vol 21, No 1 (2021): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v21i1.2867

Abstract

With the rapid advancement of the telecommunications industry, and competition between telecommunications companies is increasing, companies need to predict their customers to determine the level of customer loyalty. One of them is by analyzing customer data by doing a Customer Churn Prediction. Predicting Customer Churn is an important business strategy for the company. To acquire new customers is much higher cost than retaining existing customers. The ease of operator switching is one of the serious challenges that the telecommunications industry must face. By predicting customer churn, companies can take immediate action to retain customers. To retain existing customers, the company must improve customer service, improve product quality, and must know in advance which customers have the possibility to leave the company. Prediction can be done by analyzing customer data using data mining techniques. In line with this, gathering information from the telecommunications business can help predict whether customer relationships will leave the company. The data used in this study are secondary data and amount to 7.403 data customers. The data has 21 variables. This study proposes to use the ensemble method namely adaboost, xgboost and random forest and compare them. Algorithm is validated through training data and testing data with a ratio of 80:20. From the results we got using python tools, it was found that the adaboost algorithm has an accuracy of 80%.Keywords—accuracy, adaboost, churn prediction, compare model, data mining.

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