Garuda - Garba Rujukan Digital

Perancangan Sistem Informasi Materi Siaran Berbasis Web di Stasiun Televisi R Channel Jawa Barat Yosep Septiana; Fitri Nuraeni; R. Mujahid Al-Haq; Fauza Rohman
Jurnal Algoritma Vol 19 No 1 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Dalam dunia pertelevisian, materi siaran senantiasa didokumentasikan untuk memonitor sejauh mana proses penyelesaian sebuah program acara. Proses dokumentasi ini juga bermanfaat untuk meninjau jumlah materi yang telah dibuat dan membantu petugas Master Control Room dalam membangun jadwal siaran. R Channel Jawa Barat sebagai stasiun televisi lokal masih menggunakan spreadsheet sebagai media penyimpanan materi siaran. Spreadsheet yang terpisah antara program satu dan lainnya membuat proses pengelolaan data materi siaran menjadi tidak efisien. Data hasil produksi yang tidak bisa dilihat secara langsung oleh tim produksi juga memperlambat proses pelaporan pada Supervisor. Selain itu, petugas siaran juga mengalami hambatan dalam dokumentasi hasil uji kualitas episode terbaru karena tidak adanya tools khusus untuk menyelesaikan proses bisnis ini. Untuk menanganinya, dilakukanlah penelitian dengan menggunakan metodologi Extreme Programming dengan tahapannya yaitu planning, designing, coding, dan testing. Penelitian ini menghasilkan sistem informasi materi siaran berbasis web yang diharapkan dapat menyatukan seluruh data materi siaran dalam suatu sistem informasi, memudahkan petugas dalam mengelola data materi siaran, serta mendokumentasikan hasil uji kualitas episode terbaru.

Pelatihan Dan Pengembangan Media Pembelajaran Dori (Ludo Surili) Berbasis Ekoliterasi Dengan Memanfaatkan Limbah Industri Rumah Tangga Kain Perca di Desa Langonsari Kabupaten Bandung Nopi Krisnawati; Salis Elmadani; Tazqia Aulia Rahmawati; Maulana Yusuf; Maulana Ramdani; Fitri Nuraeni
Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2022): Abdi Wiralodra
Publisher : universitas wiralodra

There are potentials and problems that occur in Langonsari Village, namely patchwork waste originating from the UMKM industry and waste can be used as potential, one of which is as a learning media material. With the problem of waste, elementary school students must be able to recognize and have a caring attitude towards the environment which is often called ecoliteracy and the development and training of learning media must continue to be carried out both for teachers and the community. One example of learning media is DORI (Ludo Surili) which is adapted from Ludo but has a different size. The research subjects consisted of training for partners and development for 16 elementary school students who were divided into 4 groups. Data collection techniques are observation, questionnaire, pre-test and post-test. The learning media development techniques consist of: (1) the planning phase, (2) the preparation phase, (3) the implementation phase and (4) the evaluation phase. The results of the study on the effectiveness of learning media showed that with a percentage of 97.463 in the very good category, while the results of the pre-test and post-test showed that the average value had increased, both individually or as a whole, the increase showed that the pre-test was at number 42, 7 and on the post-test at 68.2 so that students are able to understand the material given with DORI learning media.

Implementasi Algoritma Naïve Bayes Menggunakan Feature Forward Selection dan SMOTE Untuk Memprediksi Ketepatan Masa Studi Mahasiswa Sarjana Dede Kurniadi; Fitri Nuraeni; Sri Mulyani Lestari
Jurnal Sistem Cerdas Vol. 5 No. 2 (2022)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v5i2.215

The punctuality of students in completing their studies is an important aspect of the study program. Because there are still students who have not been able to complete their studies on time. The purpose of this study is to determine the factors that influence students in completing their studies by extracting student academic data to obtain a classification model that can be used to predict the accuracy of the study period. The classification method for predicting the accuracy of the student's study period uses the Naive Bayes algorithm using the Feature Forward Selection and SMOTE. The method for data processing in this study uses CRISP-DM. The results of this study are in the form of a classification model to predict the accuracy of the study period of students who obtain a fairly high accuracy value of 87.13%, a recall value of 83.82%, and a precision value of 89.76%, and an AUC value of 0.92. included in the category of Excellent Classification. The use of SMOTE has succeeded in handling Imbalanced Class on the data, and the application of Feature Forward Selection resulted in 5 factors that most influence the accuracy of the student's study period, namely the attributes of Gender, School Category, Year of Entry, Study Program and Grade Point Average for the third semester. The prediction model generated using the Naïve Bayes algorithm, Feature Forward Selection, and SMOTE is expected to help study programs to find out earlier the possibility of students completing their studies on time or not on time.

Implementation of the Long Short Term Memory Method for the Recommendation of the Final Project Supervisor Yoga Handoko Agustin; Andi Sanjaya; Wahyu Sindu Prasetya; Fitri Nuraeni
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6239

Education in Indonesia is divided into several levels, starting from elementary, junior high, high school and higher education. Tri dharma of higher education is one of the goals that must be achieved and implemented by all elements in higher education. The core of the Tri dharma of higher education consists of education and teaching, research and development and community service. This research aims to explore Implementation of the long short term memory (LSTM) method for the recommendation of the final project supervisor. The amount of data used in this study amounted to 285 records with 1,035 unique tokens and class 15. The experiment was carried out by changing the epochs in the long short term memory method which amounted to 10, 20, and 50. The results showed that the best model used epochs 50 with a loss value of 21.68% and an accuracy value of 91.74%.

Sistem Informasi Geografis Pemetaan Lahan Garapan Serikat Petani Pasundan Kabupaten Garut Fitri Nuraeni; Asep Deddy Supriatna; Amarullah Bachtiar
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1139

In the current implementation of Agrarian Reform, farmer unions must be able to collect and consolidate data on objects and subjects of Agrarian Reform that will be proposed through an acceleration of Agrarian Reform Priority Locations (LPRA). However, the farmer unions that are members of the Pasundan Farmers Union (SPP), in managing object and subject data, still use paper records, so that data is prone to lose, the lack of access to information about arable land, and the difficulty in conducting location surveys. Therefore, a geographic information system is needed by the Pasundan Farmers' Union in Garut Regency as a source of information on arable land and material for proposed administrative completeness for Agrarian Reform Priority Locations (LPRA), the development of this system uses the Rational Unified Process (RUP) methodology with the stages of inception, elaboration, construction, and transition and using the Unified Modeling Language (UML) modeling. With this geographic information system for mapping arable land, the management of object and subject data within the Pasundan farmers' union in Garut Regency is better and can become fast precise and accurate information.

Rancang Bangun Sistem Informasi Posyandu untuk Mendukung Pelaporan Online Berbasis Web Asri Mulyani; Fitri Nuraeni; Astri Yuliastri
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1158

Posyandu activities aim to obtain information about the health developments of posyandu targets including: toddlers, pregnant women and the elderly. During the Covid 19 period, all service activities including Posyandu were limited because significant crowds were not allowed. This affects the current posyandu activities where there are no facilities to facilitate data management, reporting, and delivery of information on posyandu targets in several existing posyandu. This causes data storage to be stored by officers and submission of reports to the puskesmas only via short message media or SMS. Therefore, it is necessary to develop a system to support the posyandu reporting process to the puskesmas. The purpose of this research is to create a posyandu information system that can manage data and report to the puskesmas online. The research method used is the Rational Unified Process (RUP) with the stages of inception, elaboration, construction and transition. This research produces a posyandu information system that can provide information to the public on the target category of posyandu in particular, as well as an information system that can carry out online reporting from the posyandu to related parties such as villages or puskesmas.

Aplikasi Sistem Pakar Diagnosa Penyakit Kejiwaan Berbasis Web Menggunakan Forward Chaining dan Certainty Factor Fitri Nuraeni; Raden Erwin Gunadhi Rahayu; Muhamad Rifki Renaldi; Risa Aisyah
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1169

Patients with psychiatric disorders in Indonesia have increased every year, this is due to the lack of public knowledge of the symptoms and types of psychiatric disorders themselves, plus mental health facilities which are still limited in number, and the number of psychiatric specialists is relatively small and the cost of treatment is relatively not cheap. . In the current technological era, computer applications have been applied to all fields including the health sector, so to diagnose psychiatric disorders a computer application can be made that has the ability to diagnose like a psychiatrist. Therefore, in this study an expert system application was built that applied the forward chaining inference method and certainty factor, where the application was developed using the expert system development life cycle (ESDLC) method. The results of this study are a website-based expert system application with a knowledge base consisting of 2 diagnoseable diseases, namely Schizophrenia and Bipolar, as well as 22 disease symptoms. This application has been tested with 100% accuracy in 10 cases compared between the results of expert diagnoses and the results of expert system application inferences.

Sistem Informasi Geografis Pemetaan Lahan Garapan Serikat Petani Pasundan Kabupaten Garut Fitri Nuraeni; Asep Deddy Supriatna; Amarullah Bachtiar
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1139

In the current implementation of Agrarian Reform, farmer unions must be able to collect and consolidate data on objects and subjects of Agrarian Reform that will be proposed through an acceleration of Agrarian Reform Priority Locations (LPRA). However, the farmer unions that are members of the Pasundan Farmers Union (SPP), in managing object and subject data, still use paper records, so that data is prone to lose, the lack of access to information about arable land, and the difficulty in conducting location surveys. Therefore, a geographic information system is needed by the Pasundan Farmers' Union in Garut Regency as a source of information on arable land and material for proposed administrative completeness for Agrarian Reform Priority Locations (LPRA), the development of this system uses the Rational Unified Process (RUP) methodology with the stages of inception, elaboration, construction, and transition and using the Unified Modeling Language (UML) modeling. With this geographic information system for mapping arable land, the management of object and subject data within the Pasundan farmers' union in Garut Regency is better and can become fast precise and accurate information.

Rancang Bangun Sistem Informasi Posyandu untuk Mendukung Pelaporan Online Berbasis Web Asri Mulyani; Fitri Nuraeni; Astri Yuliastri
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1158

Posyandu activities aim to obtain information about the health developments of posyandu targets including: toddlers, pregnant women and the elderly. During the Covid 19 period, all service activities including Posyandu were limited because significant crowds were not allowed. This affects the current posyandu activities where there are no facilities to facilitate data management, reporting, and delivery of information on posyandu targets in several existing posyandu. This causes data storage to be stored by officers and submission of reports to the puskesmas only via short message media or SMS. Therefore, it is necessary to develop a system to support the posyandu reporting process to the puskesmas. The purpose of this research is to create a posyandu information system that can manage data and report to the puskesmas online. The research method used is the Rational Unified Process (RUP) with the stages of inception, elaboration, construction and transition. This research produces a posyandu information system that can provide information to the public on the target category of posyandu in particular, as well as an information system that can carry out online reporting from the posyandu to related parties such as villages or puskesmas.

Aplikasi Sistem Pakar Diagnosa Penyakit Kejiwaan Berbasis Web Menggunakan Forward Chaining dan Certainty Factor Fitri Nuraeni; Raden Erwin Gunadhi Rahayu; Muhamad Rifki Renaldi; Risa Aisyah
Jurnal Algoritma Vol 19 No 2 (2022): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.19-2.1169

Patients with psychiatric disorders in Indonesia have increased every year, this is due to the lack of public knowledge of the symptoms and types of psychiatric disorders themselves, plus mental health facilities which are still limited in number, and the number of psychiatric specialists is relatively small and the cost of treatment is relatively not cheap. . In the current technological era, computer applications have been applied to all fields including the health sector, so to diagnose psychiatric disorders a computer application can be made that has the ability to diagnose like a psychiatrist. Therefore, in this study an expert system application was built that applied the forward chaining inference method and certainty factor, where the application was developed using the expert system development life cycle (ESDLC) method. The results of this study are a website-based expert system application with a knowledge base consisting of 2 diagnoseable diseases, namely Schizophrenia and Bipolar, as well as 22 disease symptoms. This application has been tested with 100% accuracy in 10 cases compared between the results of expert diagnoses and the results of expert system application inferences.

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