Dede Kurniadi | Sekolah Tinggi Teknologi Garut (original) (raw)

Papers by Dede Kurniadi

Research paper thumbnail of Price Prediction of Non-Fungible Tokens (NFTs) using Data Mining Prediction Algorithm

Research paper thumbnail of Implementation of the K-Means Algorithm for Clustering the Characteristics of Students Receiving Kartu Indonesia Pintar Kuliah (KIP-K)

Research paper thumbnail of Rancang Bangun Sistem Informasi Geografis Pemetaan Lokasi Badan Usaha Milik Desa Berbasis Android

Jurnal Algoritma: Forum Ilmiah bagi Ilmuwan dan Praktisi Teknik Informatika, Mar 11, 2022

Research paper thumbnail of Comparative analysis of decision tree algorithms: Random forest and C4.5 for airlines customer satisfaction classification

Journal of physics, Dec 1, 2019

Research paper thumbnail of Alternative Text Pre-Processing using Chat GPT Open AI

Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), Mar 31, 2023

Research paper thumbnail of Improvement of Data Mining Models using Forward Selection and Backward Elimination with Cryptocurrency Datasets

JAIS (Journal of Applied Intelligent System), Feb 17, 2023

Research paper thumbnail of The prediction of scholarship recipients in higher education using k-Nearest neighbor algorithm

IOP conference series, Dec 4, 2018

Research paper thumbnail of Perancangan Sistem Informasi Monitoring dan Pelaporan Kinerja Aparatur Sipil Negara Berbasis Web dan Android

Jurnal Algoritma: Forum Ilmiah bagi Ilmuwan dan Praktisi Teknik Informatika, May 30, 2023

Research paper thumbnail of Penerapan Algoritma k-Means Clustering untuk Pengelompokan Pembangunan Jalan pada Dinas Pekerjaan Umum dan Penataan Ruang

Research paper thumbnail of Classification of Television Programs Based on Public Opinion in Social Media Using Random Forest and Decision Tree

2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)

One of the electronic media that provides a source of entertainment and information for its audie... more One of the electronic media that provides a source of entertainment and information for its audience is television programs. The quality of television programs is assessed based on ratings. In addition, public opinion also has a crucial role, and this is because this opinion can be used as data to carry out sentiment analysis by classifying whether the opinion is included in the category of positive or negative sentiment. The problem requires an efficient decision-making system, such as a machine learning algorithm. This study aims to develop a classification of sentiment analysis using Random Forest and Decision Tree algorithms. The dataset used is a public opinion tweet dataset on Twitter for four television programs with five attributes: the number of retweets, id, sentiment, tv show, and tweet text. The results of testing the two algorithm models show that the Random Forest and Decision Tree models have different performance levels. The Decision Tree has lower performance with an accuracy of 74.66%, precision of 76.13%, recall of 78.75%, and an f1-score of 76.73%. Meanwhile, Random Forest has higher performance with an accuracy of 84.06%, precision of 83.65%, recall of 82.80%, and f1-score of 82.32% with a comparison of test data and training data of 20:80. Based on these results, the Random Forest model has the best performance compared to the Decision Tree in classifying television program sentiment based on user opinions in social media.

Research paper thumbnail of Data Mining Algorithm Testing For SAND Metaverse Forecasting

Journal of Applied Intelligent System

Metaverse is a technology that allows us to buy virtual land. In the future life in the real worl... more Metaverse is a technology that allows us to buy virtual land. In the future life in the real world can be duplicated into the Metaverse to increase efficiency, effectiveness, and a world without being limited by space and time. To buy land in the Metaverse, one can be done by using SAND. SAND is a crypto asset from a game called The Sandbox which functions as a transaction tool where in that game we can buy land and build it for various purposes just like we can store our Non-Fungible Tokens there. Metaverse is a digital business that will promise in the future because it offers easy and fast transactions. This study aims to compare the exact algorithm for making predictions about the SAND cryptocurrency used to buy Metaverse land. 7 algorithms are being compared, namely Deep Learning, Linear Regression, Neural Networks, Support Vector Machines, Generalized Linear Models, Gaussian Process, and K-Nearest Neighbors. The research method used is Knowledge Discovery in Databases. The res...

Research paper thumbnail of Expert system development for homeopathy medicine

IOP Conference Series: Materials Science and Engineering, 2021

Health is the most critical thing in life. It is invaluable for every individual because health i... more Health is the most critical thing in life. It is invaluable for every individual because health is a prosperous state of soul, body, and social that enables everyone to live a good and productive life. Homeopathy is an alternative treatment that has a fundamental theory that sick people can carry by using the effect of the reflection of substance or energy in the body that produces symptoms in healthy people. This study aims to assist the public in obtaining information from doctors or homeopathic medicine experts based on symptoms, complaints, illnesses, and suggested drugs. The method used is the Expert System Development Life Cycle (ESDLC) with expert system reasoning using forward chaining inference techniques. This research resulted in an application to help expert homeopathic medicine experts with pediatric patients who can facilitate the process of diagnosing the disease along with the recommended medicine. In conclusion, the implementation of an expert system created can hel...

Research paper thumbnail of Multimedia system model for electrical circuits on android mobile devices

IOP Conference Series: Materials Science and Engineering, 2021

This article aims to design the multimedia system application model of electrical circuits to mak... more This article aims to design the multimedia system application model of electrical circuits to make it easier for everyone to learn and understand electrical circuits in support of completing the required electrical circuit learning practice activities. The learning material models are designed interactively, which includes basic knowledge about electrical circuits and electrical circuit simulations. The Multimedia Development Life Cycle (MDLC) method is used for the design of this multimedia system. The design phase consists of 6 stages, namely, concept, design, material collecting, assembly, testing, and distribution. The results of the study are the multimedia system application of electrical circuit that mainly can be applied on Android-based mobile devices.

Research paper thumbnail of Requirement analysis for autograder system using use case model

IOP Conference Series: Materials Science and Engineering, 2021

At the beginning of software development, requirement analysis is needed to determine what featur... more At the beginning of software development, requirement analysis is needed to determine what features and components must be applied in the software to meet its purpose. Autograder have the purpose to grade student submission so the lecturer and student can know the grade immediately. To fulfil it, an analysis of requirements for autograder should be done so we can determine what features and components needed to be applied in autograder. This requirement also can be used to determine the future test plan. In this paper, we analyse the needed requirement for the autograder system and present it in the use case model.

Research paper thumbnail of Geographic Information Systems for web-based maternity centers

IOP Conference Series: Materials Science and Engineering, 2021

One of the benefits of the geographic information system (GIS) is that it is a tool for capturing... more One of the benefits of the geographic information system (GIS) is that it is a tool for capturing, storing, and displaying data related to the approximate position of the earth. The delivery place is one of the critical areas that considered urgent to deal with the delivery of pregnant women. With this information system, it expected that the public could quickly obtain information on the distribution of the nearest birthplaces, profiles of medical personnel such as doctors, midwives, and nurses as well as available facilities. The methodology used in this study is the Rational Unified Process, with stages: inception, elaboration, construction, and transition. The results of this study are web-based GIS applications to search for distribution of maternity places to facilitate the community in finding anywhere the distribution of midwives, their location, and facilities in the midwife’s area.

Research paper thumbnail of The TIGER society framework in the scope of information technology infrastructure

Journal of Physics: Conference Series, 2019

The TIGER society focuses its economic development on tourism industries, which is supported by t... more The TIGER society focuses its economic development on tourism industries, which is supported by the government and stand on the development of competency and character based on local wisdom through education and religion. The TIGER society seeks to increase tourist satisfaction by optimizing relations between the five TIGER fields (tourism, industry, government, education, and religious) with information technology support. The purpose of this research is to create a TIGER society framework for the preliminary investigation of IT infrastructure needs in all TIGER fields. This study uses the literature survey method to find the theoretical basis for framework construction and follows the System Development Life Cycle method in determining its stages and activities. The framework is carried out through four stages, including 1) Preliminary analysis that determines strategic plans and service limits; 2) Submission of information technology infrastructure that describes services, actors...

Research paper thumbnail of Scholarship Recipients Prediction Model using k-Nearest Neighbor Algorithm and Synthetic Minority Over-sampling Technique

2022 12th International Conference on System Engineering and Technology (ICSET)

Research paper thumbnail of The Prediction of Ppa and Kip-Kuliah Scholarship Recipients Using Naive Bayes Algorithm

Jurnal Teknik Informatika (Jutif)

The aim of the research is was to predict the scholar recipient for Peningkatan Prestasi Akademik... more The aim of the research is was to predict the scholar recipient for Peningkatan Prestasi Akademik (PPA) and the Kartu Indonesia Pintar Kuliah (KIP-K). The prediction results of scholarship recipients will provide information in the form of the possibility of acceptance and non-acceptance of scholarship applicants. To achieve this goal, this study uses the Naive Bayes algorithm, where this algorithm predicts future opportunities based on past data by going through the stages of reading training data, then calculating the number of probabilities and classifying the values in the mean and probability table. The data analysis includes data collection, data processing, model implementation, and evaluation. The data needed for analysis needs to use data from the applicants for Academic Achievement Improvement (PPA) scholarship and the Indonesia Smart Education Card (KIP-K) scholarship. The data used for training data were 145 student data. The results of the study using the Naive Bayes al...

Research paper thumbnail of Pengembangan Sistem Informasi Monitoring Dan Pelaporan Kinerja Karyawan Perusahaan Menggunakan Balanced Scorecard Dan Scrum

JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

Tujuan dari penelitian ini yaitu mengembangkan sistem informasi monitoring dan pelaporan kinerja ... more Tujuan dari penelitian ini yaitu mengembangkan sistem informasi monitoring dan pelaporan kinerja karyawan perusahaan berbasis website yang dapat membantu perusahaan dalam mengelola penilaian kinerja karyawannya. Studi kasus penelitian dilakukan disalah satu perusahaan yang bergerak dalam bidang pemasaran rumah yang ada di Kabupaten Garut, Jawa Barat, Indonesia. Pengembangan sistem dilakukan dengan menerapkan metode Balanced Scorecard (BSC) untuk melakukan penilaian kinerja karyawan yang berdasarkan empat perspektif yaitu financial perspective, customer perspective, internal business process perspective, learning and growth perspective, sedangkan untuk metodologi pengembangan perangkat lunak menggunakan Agile dengan pendekatan Scrum dengan 4 tahapan yaitu requirements, product backlog, sprint planning, sprint, dan sprint review. Pemodelan yang digunakan dalam perancangan sistem yaitu Unified Modelling Language (UML), kemudian untuk pengujian perangkat lunak sistem menggunakan metode ...

Research paper thumbnail of Twitter Social Media Sentiment Analysis Against Bitcoin Cryptocurrency Trends Using Rapidminer

Jurnal Teknik Informatika (Jutif)

Cryptocurrency trends, especially Bitcoin, have gained a place in a group of people and there are... more Cryptocurrency trends, especially Bitcoin, have gained a place in a group of people and there are even countries that already use Bitcoin as a legal transaction tool. The dynamics that occur in this Bitcoin trend make many new users. This lack of understanding of the technology can cast doubt on those who want to get started, so it is necessary to conduct sentiment analysis to increase knowledge of what Bitcoin is and how it works. This study aims to conduct a Sentiment Analysis regarding Bitcoin through Twitter social media, so that their opinion on this technology will be known. The method used is by using Tweet data that has been downloaded on the www.data.world.com website. The data is the result of using the Crawling technique, then sentiment analysis is carried out to classify a tweet into Neutral, Positive, or Negative. The results showed that from the 1998 dataset, 46.69% were classified as Neutral, then Positive, 43.54%, and 9.75% Negative.

Research paper thumbnail of Price Prediction of Non-Fungible Tokens (NFTs) using Data Mining Prediction Algorithm

Research paper thumbnail of Implementation of the K-Means Algorithm for Clustering the Characteristics of Students Receiving Kartu Indonesia Pintar Kuliah (KIP-K)

Research paper thumbnail of Rancang Bangun Sistem Informasi Geografis Pemetaan Lokasi Badan Usaha Milik Desa Berbasis Android

Jurnal Algoritma: Forum Ilmiah bagi Ilmuwan dan Praktisi Teknik Informatika, Mar 11, 2022

Research paper thumbnail of Comparative analysis of decision tree algorithms: Random forest and C4.5 for airlines customer satisfaction classification

Journal of physics, Dec 1, 2019

Research paper thumbnail of Alternative Text Pre-Processing using Chat GPT Open AI

Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), Mar 31, 2023

Research paper thumbnail of Improvement of Data Mining Models using Forward Selection and Backward Elimination with Cryptocurrency Datasets

JAIS (Journal of Applied Intelligent System), Feb 17, 2023

Research paper thumbnail of The prediction of scholarship recipients in higher education using k-Nearest neighbor algorithm

IOP conference series, Dec 4, 2018

Research paper thumbnail of Perancangan Sistem Informasi Monitoring dan Pelaporan Kinerja Aparatur Sipil Negara Berbasis Web dan Android

Jurnal Algoritma: Forum Ilmiah bagi Ilmuwan dan Praktisi Teknik Informatika, May 30, 2023

Research paper thumbnail of Penerapan Algoritma k-Means Clustering untuk Pengelompokan Pembangunan Jalan pada Dinas Pekerjaan Umum dan Penataan Ruang

Research paper thumbnail of Classification of Television Programs Based on Public Opinion in Social Media Using Random Forest and Decision Tree

2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)

One of the electronic media that provides a source of entertainment and information for its audie... more One of the electronic media that provides a source of entertainment and information for its audience is television programs. The quality of television programs is assessed based on ratings. In addition, public opinion also has a crucial role, and this is because this opinion can be used as data to carry out sentiment analysis by classifying whether the opinion is included in the category of positive or negative sentiment. The problem requires an efficient decision-making system, such as a machine learning algorithm. This study aims to develop a classification of sentiment analysis using Random Forest and Decision Tree algorithms. The dataset used is a public opinion tweet dataset on Twitter for four television programs with five attributes: the number of retweets, id, sentiment, tv show, and tweet text. The results of testing the two algorithm models show that the Random Forest and Decision Tree models have different performance levels. The Decision Tree has lower performance with an accuracy of 74.66%, precision of 76.13%, recall of 78.75%, and an f1-score of 76.73%. Meanwhile, Random Forest has higher performance with an accuracy of 84.06%, precision of 83.65%, recall of 82.80%, and f1-score of 82.32% with a comparison of test data and training data of 20:80. Based on these results, the Random Forest model has the best performance compared to the Decision Tree in classifying television program sentiment based on user opinions in social media.

Research paper thumbnail of Data Mining Algorithm Testing For SAND Metaverse Forecasting

Journal of Applied Intelligent System

Metaverse is a technology that allows us to buy virtual land. In the future life in the real worl... more Metaverse is a technology that allows us to buy virtual land. In the future life in the real world can be duplicated into the Metaverse to increase efficiency, effectiveness, and a world without being limited by space and time. To buy land in the Metaverse, one can be done by using SAND. SAND is a crypto asset from a game called The Sandbox which functions as a transaction tool where in that game we can buy land and build it for various purposes just like we can store our Non-Fungible Tokens there. Metaverse is a digital business that will promise in the future because it offers easy and fast transactions. This study aims to compare the exact algorithm for making predictions about the SAND cryptocurrency used to buy Metaverse land. 7 algorithms are being compared, namely Deep Learning, Linear Regression, Neural Networks, Support Vector Machines, Generalized Linear Models, Gaussian Process, and K-Nearest Neighbors. The research method used is Knowledge Discovery in Databases. The res...

Research paper thumbnail of Expert system development for homeopathy medicine

IOP Conference Series: Materials Science and Engineering, 2021

Health is the most critical thing in life. It is invaluable for every individual because health i... more Health is the most critical thing in life. It is invaluable for every individual because health is a prosperous state of soul, body, and social that enables everyone to live a good and productive life. Homeopathy is an alternative treatment that has a fundamental theory that sick people can carry by using the effect of the reflection of substance or energy in the body that produces symptoms in healthy people. This study aims to assist the public in obtaining information from doctors or homeopathic medicine experts based on symptoms, complaints, illnesses, and suggested drugs. The method used is the Expert System Development Life Cycle (ESDLC) with expert system reasoning using forward chaining inference techniques. This research resulted in an application to help expert homeopathic medicine experts with pediatric patients who can facilitate the process of diagnosing the disease along with the recommended medicine. In conclusion, the implementation of an expert system created can hel...

Research paper thumbnail of Multimedia system model for electrical circuits on android mobile devices

IOP Conference Series: Materials Science and Engineering, 2021

This article aims to design the multimedia system application model of electrical circuits to mak... more This article aims to design the multimedia system application model of electrical circuits to make it easier for everyone to learn and understand electrical circuits in support of completing the required electrical circuit learning practice activities. The learning material models are designed interactively, which includes basic knowledge about electrical circuits and electrical circuit simulations. The Multimedia Development Life Cycle (MDLC) method is used for the design of this multimedia system. The design phase consists of 6 stages, namely, concept, design, material collecting, assembly, testing, and distribution. The results of the study are the multimedia system application of electrical circuit that mainly can be applied on Android-based mobile devices.

Research paper thumbnail of Requirement analysis for autograder system using use case model

IOP Conference Series: Materials Science and Engineering, 2021

At the beginning of software development, requirement analysis is needed to determine what featur... more At the beginning of software development, requirement analysis is needed to determine what features and components must be applied in the software to meet its purpose. Autograder have the purpose to grade student submission so the lecturer and student can know the grade immediately. To fulfil it, an analysis of requirements for autograder should be done so we can determine what features and components needed to be applied in autograder. This requirement also can be used to determine the future test plan. In this paper, we analyse the needed requirement for the autograder system and present it in the use case model.

Research paper thumbnail of Geographic Information Systems for web-based maternity centers

IOP Conference Series: Materials Science and Engineering, 2021

One of the benefits of the geographic information system (GIS) is that it is a tool for capturing... more One of the benefits of the geographic information system (GIS) is that it is a tool for capturing, storing, and displaying data related to the approximate position of the earth. The delivery place is one of the critical areas that considered urgent to deal with the delivery of pregnant women. With this information system, it expected that the public could quickly obtain information on the distribution of the nearest birthplaces, profiles of medical personnel such as doctors, midwives, and nurses as well as available facilities. The methodology used in this study is the Rational Unified Process, with stages: inception, elaboration, construction, and transition. The results of this study are web-based GIS applications to search for distribution of maternity places to facilitate the community in finding anywhere the distribution of midwives, their location, and facilities in the midwife’s area.

Research paper thumbnail of The TIGER society framework in the scope of information technology infrastructure

Journal of Physics: Conference Series, 2019

The TIGER society focuses its economic development on tourism industries, which is supported by t... more The TIGER society focuses its economic development on tourism industries, which is supported by the government and stand on the development of competency and character based on local wisdom through education and religion. The TIGER society seeks to increase tourist satisfaction by optimizing relations between the five TIGER fields (tourism, industry, government, education, and religious) with information technology support. The purpose of this research is to create a TIGER society framework for the preliminary investigation of IT infrastructure needs in all TIGER fields. This study uses the literature survey method to find the theoretical basis for framework construction and follows the System Development Life Cycle method in determining its stages and activities. The framework is carried out through four stages, including 1) Preliminary analysis that determines strategic plans and service limits; 2) Submission of information technology infrastructure that describes services, actors...

Research paper thumbnail of Scholarship Recipients Prediction Model using k-Nearest Neighbor Algorithm and Synthetic Minority Over-sampling Technique

2022 12th International Conference on System Engineering and Technology (ICSET)

Research paper thumbnail of The Prediction of Ppa and Kip-Kuliah Scholarship Recipients Using Naive Bayes Algorithm

Jurnal Teknik Informatika (Jutif)

The aim of the research is was to predict the scholar recipient for Peningkatan Prestasi Akademik... more The aim of the research is was to predict the scholar recipient for Peningkatan Prestasi Akademik (PPA) and the Kartu Indonesia Pintar Kuliah (KIP-K). The prediction results of scholarship recipients will provide information in the form of the possibility of acceptance and non-acceptance of scholarship applicants. To achieve this goal, this study uses the Naive Bayes algorithm, where this algorithm predicts future opportunities based on past data by going through the stages of reading training data, then calculating the number of probabilities and classifying the values in the mean and probability table. The data analysis includes data collection, data processing, model implementation, and evaluation. The data needed for analysis needs to use data from the applicants for Academic Achievement Improvement (PPA) scholarship and the Indonesia Smart Education Card (KIP-K) scholarship. The data used for training data were 145 student data. The results of the study using the Naive Bayes al...

Research paper thumbnail of Pengembangan Sistem Informasi Monitoring Dan Pelaporan Kinerja Karyawan Perusahaan Menggunakan Balanced Scorecard Dan Scrum

JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

Tujuan dari penelitian ini yaitu mengembangkan sistem informasi monitoring dan pelaporan kinerja ... more Tujuan dari penelitian ini yaitu mengembangkan sistem informasi monitoring dan pelaporan kinerja karyawan perusahaan berbasis website yang dapat membantu perusahaan dalam mengelola penilaian kinerja karyawannya. Studi kasus penelitian dilakukan disalah satu perusahaan yang bergerak dalam bidang pemasaran rumah yang ada di Kabupaten Garut, Jawa Barat, Indonesia. Pengembangan sistem dilakukan dengan menerapkan metode Balanced Scorecard (BSC) untuk melakukan penilaian kinerja karyawan yang berdasarkan empat perspektif yaitu financial perspective, customer perspective, internal business process perspective, learning and growth perspective, sedangkan untuk metodologi pengembangan perangkat lunak menggunakan Agile dengan pendekatan Scrum dengan 4 tahapan yaitu requirements, product backlog, sprint planning, sprint, dan sprint review. Pemodelan yang digunakan dalam perancangan sistem yaitu Unified Modelling Language (UML), kemudian untuk pengujian perangkat lunak sistem menggunakan metode ...

Research paper thumbnail of Twitter Social Media Sentiment Analysis Against Bitcoin Cryptocurrency Trends Using Rapidminer

Jurnal Teknik Informatika (Jutif)

Cryptocurrency trends, especially Bitcoin, have gained a place in a group of people and there are... more Cryptocurrency trends, especially Bitcoin, have gained a place in a group of people and there are even countries that already use Bitcoin as a legal transaction tool. The dynamics that occur in this Bitcoin trend make many new users. This lack of understanding of the technology can cast doubt on those who want to get started, so it is necessary to conduct sentiment analysis to increase knowledge of what Bitcoin is and how it works. This study aims to conduct a Sentiment Analysis regarding Bitcoin through Twitter social media, so that their opinion on this technology will be known. The method used is by using Tweet data that has been downloaded on the www.data.world.com website. The data is the result of using the Crawling technique, then sentiment analysis is carried out to classify a tweet into Neutral, Positive, or Negative. The results showed that from the 1998 dataset, 46.69% were classified as Neutral, then Positive, 43.54%, and 9.75% Negative.

Research paper thumbnail of Algoritma Pemrograman 10 (Fungsi)

Research paper thumbnail of Algoritma Pemrograman 9 (Array/Larik)

Research paper thumbnail of Algoritma Pemrograman 8 (Looping/Pengulangan)

Research paper thumbnail of Algoritma Pemrograman 5 (Kondisi)

Research paper thumbnail of Algoritma Pemrograman 4 (Operator)

Research paper thumbnail of Algoritma Pemrograman 2 (Definisi Bahasa C/Perintah Dasar/Tipe Data)

Research paper thumbnail of Algoritma Pemrograman 1 (Pengantar)

Kuliah ini mengajarkan tetang konsep dasar pemrograman. Pada kuliah ini akan dijelaskan dasar-das... more Kuliah ini mengajarkan tetang konsep dasar pemrograman. Pada kuliah ini akan dijelaskan dasar-dasar pemrograman meliputi algoritma, flow chart dan pseudo code. Selanjutnya masuk ke implementasi dengan pemrograman, dijelaskan materi-materi dasar pembuatan program meliputi : dasar-dasar pemrograman, penyeleksian kondisi, perulangan, fungsi, array, string, pointer dan struktur. Bahasa pemrograman yang digunakan adalah bahasa C/C++ dan Pascal

Research paper thumbnail of Flowchart & Algoritma Pemrograman Part 10

Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogram... more Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogramanmeliputialgoritma, flow chart danpseudo code. Selanjutnyamasukkeimplementasidenganpemrograman, dijelaskanmateri-materidasarpembuatanprogram meliputi: dasar-dasarpemrograman, penyeleksiankondisi, perulangan, fungsi, array, string, pointer danstruktur. Bahasapemrogramanyang digunakanadalahbahasaC/C++

Research paper thumbnail of Flowchart & Algoritma Pemrograman Part 5

Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogram... more Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogramanmeliputialgoritma, flow chart danpseudo code. Selanjutnyamasukkeimplementasidenganpemrograman, dijelaskanmateri-materidasarpembuatanprogram meliputi: dasar-dasarpemrograman, penyeleksiankondisi, perulangan, fungsi, array, string, pointer danstruktur. Bahasapemrogramanyang digunakanadalahbahasaC/C++

Research paper thumbnail of Flowchart & Algoritma Pemrograman Part 2

Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogram... more Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogramanmeliputialgoritma, flow chart danpseudo code. Selanjutnyamasukkeimplementasidenganpemrograman, dijelaskanmateri-materidasarpembuatanprogram meliputi: dasar-dasarpemrograman, penyeleksiankondisi, perulangan, fungsi, array, string, pointer danstruktur. Bahasapemrogramanyang digunakanadalahbahasaC/C++

Research paper thumbnail of Flowchart & Algoritma Pemrograman Part 1

Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogram... more Kuliahinimengajarkantetangkonsepdasarpemrograman. Padakuliahiniakandijelaskandasar-dasarpemrogramanmeliputialgoritma, flow chart danpseudo code. Selanjutnyamasukkeimplementasidenganpemrograman, dijelaskanmateri-materidasarpembuatanprogram meliputi: dasar-dasarpemrograman, penyeleksiankondisi, perulangan, fungsi, array, string, pointer danstruktur. Bahasapemrogramanyang digunakanadalahbahasaC/C++

Research paper thumbnail of Pengantar Pemrograman Part 2

Lanjutan Arsip Pengantar Pemrograman, Kuliah ini mengajarkan tetang konsep dasar pemrograman. Pad... more Lanjutan Arsip Pengantar Pemrograman, Kuliah ini mengajarkan tetang konsep dasar pemrograman. Pada kuliah ini akan dijelaskan dasar-dasar pemrograman meliputi algoritma, flow chart dan pseudo code. Selanjutnya masuk ke implementasi dengan pemrograman, dijelaskan materi-materi dasar pembuatan program meliputi : dasar-dasar pemrograman, penyeleksian kondisi, perulangan, fungsi, array, string, pointer dan struktur. Bahasa pemrograman yang digunakan adalah bahasa C/C++

Research paper thumbnail of Pengantar Pemrograman Part 1

Kuliah ini mengajarkan tetang konsep dasar pemrograman. Pada kuliah ini akan dijelaskan dasar-das... more Kuliah ini mengajarkan tetang konsep dasar pemrograman. Pada kuliah ini akan dijelaskan dasar-dasar pemrograman meliputi algoritma, flow chart dan pseudo code. Selanjutnya masuk ke implementasi dengan pemrograman, dijelaskan materi-materi dasar pembuatan program meliputi : dasar-dasar pemrograman, penyeleksian kondisi, perulangan, fungsi, array, string, pointer dan struktur. Bahasa pemrograman yang digunakan adalah bahasa C/C++

Research paper thumbnail of Setting Dial-Up Internet di Linux Mandriva One 2007

Artikel ini merupakan arsip artikel yang sudah dipublikasikan tahun 2007, namun siapa tahu masih ... more Artikel ini merupakan arsip artikel yang sudah dipublikasikan tahun 2007, namun siapa tahu masih bermanfaat, Kali ini saya akan membahas bagaimana caranya melakukan setting Dial-Up internet
dengan menggunakan Linux Mandriva One 2007, layaknya menyeting Dial-Up
internet seperti di Windows, karena seting Dial-Up yang akan kita praktekan kali ini,
tidak menggunakan script-script yang harus kita buat seperti biasanya dilakukan di
Linux, namun cukup dengan menggunakan fasilitas Wizard yang ada di Linux.
Adapun untuk implementasi setting Dial-Up menggunakan koneksi telkomnet@instan
karena ISP ini memang sudah tidak asing lagi ditelinga kita dan settingnya pun mudah
bisa kapan saja tidak perlu berlangganan cukup melakukan koneksi ketika kita
memerlukan akses internet.

Research paper thumbnail of Pemrograman Borland C++ Builder 6 Revisi Ketiga

Borland C++ Builder 6 adalah sebuah perangkat lunak berbasis C/C++ yang digunakan untuk melakukan... more Borland C++ Builder 6 adalah sebuah perangkat lunak berbasis C/C++ yang digunakan untuk melakukan pembuatan aplikasi berbasis Console Application maupun GUI (Graphical User Interface).
Modul ini membahas dan mempraktikan langsung konsep dan teknik-teknik dasar yang diperlukan dalam pemrograman C++ Builder, dan bertujuan untuk mengantarkan dan membekali mahasiswa untuk menjadi programmer yang siap pakai dilapangan pekerjaan. Pembahasan dalam modul ini meliputi konsep dan contoh berikut penerapannya dalam aplikasi database baik stand alone maupun yang bersifat client-server dengan bahasa SQL (query) yang merupakan standar dalam membuat program aplikasi client-server didalam jaringan LAN, buku modul ini disuguhkan secara tutorial dan latihan kasus soal , agar memudahkan mahasiswa dalam proses pembelajarannya di laboratorium komputer supaya mudah dipahami dan dipraktekan.

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