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All Journal Techno.Com: Jurnal Teknologi Informasi SMATIKA JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Mantik Penusa International Journal of New Media Technology INTECOMS: Journal of Information Technology and Computer Science Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Journal of Computer System and Informatics (JoSYC) Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Smatika Jurnal : STIKI Informatika Jurnal
Andrianingsih
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Analysis System About Muscle-Bone-Joint Symptoms by the Association Rule Method: Analysis System About Muscle-Bone-Joint Symptoms by the Association Rule Method Rian Harianto; Ucuk Darusalam; Andrianingsih Andrianingsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Muscle, Bone, Joint Problems are health problems in the human body. Problems of muscles, bones, joints felt by almost everyone, both parents, adolescents, and children. Symptoms of muscle, bone, joint problems can be pain in the knee, pain in the shoulder, pain in the neck, pain in the hands, pain in the legs or pain in the back. To categorize the problems of muscles, bones, joints, there are many problems in management reporting to find out the symptoms that often occur in one semester. Based on this it is necessary studies that lead to the creation of a system that can categorize the spread of symptoms in muscles, bones, joints to determine the results of diagnosis based on the pattern of symptoms experienced by patients. So that helps management to find out and get information based on the pattern of symptoms that occur in patients. One alternative to the problem, this study we make a search pattern or association rule association (associative rules) of large-scale data and is very closely related to data mining that can be used to find certain rules that associate data with one other data with a priori algorithm method. The purpose of the method is to search historical data to identify data patterns based on previous characteristics to determine the disease diagnosis. So that the information generated can be used by management to provide appropriate diagnostic information according to the natural pattern of symptoms by the patient.
Information System Development of Web Portalalumni National University: Information System Development of Web Portalalumni National University Deden Ferdiansyah; Moh. Iwan Wahyuddin; Andrianingsih Andrianingsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

National University is the oldest Private University in Jakarta and the second oldest in Indonesia which has thousands of Alumni spread across various fields. The aim is to create an alumni web portal in other words to make it easier for alumni to communicate or interact with alumni and share information. With this advantage is expected to be able to build data or information sources
Design and Build Mail Server Systems Using Zimbra 8.8.15 and Antispam on Proxmox Mail Gateway 5.2: Design and Build Mail Server Systems Using Zimbra 8.8.15 and Antispam on Proxmox Mail Gateway 5.2 Ahmad Yannuri; M. Iwan Wahyuddin; Andrianingsih Andrianingsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

E-Mail or electronic mail media currently continues to grow and its users are increasing. However, the comfort and security of communicating via e-mail is now greatly reduced. One reason for the reduced level of security and comfort in using e-mail is spam. Spam is e-mail that goes to the user's e-mail that the user has never requested and wanted, if the spam is left in the e-mail inbox it will create full storage capacity and can make the mail server down. To avoid and prevent the presence of spam e-mails, the Zimbra 8.8.15 mail server requires anti spam to be able to block spam e-mails that will enter. Anti spam that will be used is Proxmox Mail Gateway 5.2 as using the LDAP (Light Weight Directory Access Protocol) feature.
Sistem Pendeteksi Gejala Stunting pada Anak dengan Metode Certainty factor Berbasis Website Afiyan Nur Chafidin; Agung Triayudi; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 3 (2022): JULY-SEPTEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i3.434

Abstract

The purpose of this study is to design and develop a stunting symptom detection system in children using the Website-based certainty factor method which aims to create a stunting symptom detection system in children from an early age and help parents in maintaining nutrition in their children, indirectly said to be computerized to detect stunting means that when applied, it makes it easier for parents to monitor nutrition quickly and precisely. This study uses a system development method where the model used is Waterfall. The results of this study are in the form of an application that provides several symptoms of stunting in children then the user can conduct consultations to determine the calculation of the results of stunting symptoms correctly. The use of this certainty factor method is implemented in an expert system that is used to look for symptoms caused by stunting and in solving the case, the certainty factor obtains an accuracy of 80%.
Sistem Pendukung Keputusan Penentuan Home industry Menggunakan Metode Topsis Bob Aziz; Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 3 (2022): JULY-SEPTEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i3.529

Abstract

The research objective is a system that can determine the right home industry business in the midst of business competition, and to implement the TOPSIS technique when the Decision Support object sets the home industry right in the midst of intense competition. The categories used in this observation are initial capital, monthly working budget analysis, profit analysis, whether the selected business category is a variety of businesses with different types of enthusiasts, and there are various competitors with the same type of business. The data is taken based on the Home industry type of food. Decision Support System designed using TOPSIS technique, PHP programming language, Laravel framework, MySQL as database management, and Black-box Testing as the method used to test the functionality of the system that has been built. Based on the tests applied using the Black-box Testing technique, the conclusion of the test shows that the system made in series is as expected. In other words, the system designed will be able to help users who are just starting a Home industry business in determining which products to sell.
Perbandingan Naïve bayes dan Certainty factor pada Sistem Pakar Untuk Mendiagnosa Dini Penyakit Glaukoma Hanif Rahman Burhani; Iskandar Fitri; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.183

Abstract

Glaucoma is an eye disease that causes the second largest blindness after cataracts, this disease can cause decreased vision and can even be fatal, namely permanent blindness if it is not realized and treated immediately. Lack of information and education to the public to always maintain eye health is the basis for the purpose of making this expert system which aims to provide early diagnosis to people who are indicated to have glaucoma based on the symptoms or characteristics previously felt. The Naïve bayes method is a method that uses statistics and probability in predicting a person's chance of suffering from glaucoma based on the symptoms previously felt. It is made based on a website with PHP as the programming language and uses MySQL for the database. As for the comparison method used is the Certainty factor, which is a method that functions to determine a certainty value based on the calculation of the predetermined CF value by applying manual calculations. In the Naïve bayes method, the application can group symptom data and types of disease and can diagnose based on previous training data, while for the Certainty factor method based on the calculation of the value of the expert and the CF value that has been inputted by the user, it can produce a percentage of the diagnosis of the disease glaucoma in 96%.
Analisa In Depth Online Analytical Processing (OLAP) Business Intelligence (BI) dengan Filter Inheritance pada Distribusi Sosial di Kecamatan Setiabudi Alhadi Alhadi; Iskandar Fitri; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.184

Abstract

A lot of census data in the sub-district is very useful and helps the social service to provide social assistance in a sub-district. With this Business Intelligence system, it can help analyze information on providing social assistance with the help of using the Tableau Tools so that the information is more detailed and displays a graphic / dashboard visualization. This research is to analyze how certain people who receive social assistance for residents of Setiabudi sub-district, and each provision of social assistance will be collected from the sub-district and submitted to each sub-district to be able to data with certainty, using the number of data on the head of the family registered in Setiabudi District.
Analisis Sentimen Mahasiswa terhadap Kuesioner Penilaian Pelayanan Sekretariat FTKI Universitas Nasional dengan menggunakan Metode Simple Multi Attribute Rating Technique (SMART) dan Simple Additive Weighting (SAW) Arika Zuraidah; Agung Triayudi; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 2 (2021): April-Juni
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.205

Abstract

In the world of higher education, service to students is very much needed, it is very important to maintain the quality of service so that good and disciplined service to students can be realized. This sentiment analysis aims to determine student opinion made using a questionnaire form. In addition, the Decision Support System with the Simple Multi Attribute Rating Technique (SMART) and Simple Additive Weighting (SAW) methods is expected to be a solution in providing an assessment of the FTKI secretariat services. This study uses a questionnaire form to see student assessments and make it an alternative value. The final results are obtained by testing the order analysis technique, which is 82%, proving that by testing these two methods, service assessment can be more expanded.
Penerapan Metode Perbandingan Dempster-Shafer dengan Certainty Factor pada Aplikasi Sistem Pakar Deteksi Dini Penyakit Alzheimer pada Lansia Berbasis Web Mohamad Aldjawad; Septi Andryana; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 2 (2021): April-Juni
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.206

Abstract

Alzheimer's is a dementia disease associated with changes in protein in the brain. According to WHO, in 2010 there were 35.6 million people suffering from dementia. People with dementia are usually the elderly. Due to the lack of awareness, information, and knowledge about Alzheimer's disease, an expert system was created using the Dempster-Shafer comparison method with Certainty Factors to assist in early detection of the disease. The results of this study are, there is a final value of the diagnostic results using the Certainty Factor method of 56% while using the Dempster-Shafer method of 54.5%.
Analisis Sentimen Pembelajaran Daring Menggunakan Metode Naïve Bayes, KNN, dan Decision Tree Tobby Wiratama Putra; Agung Triayudi; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.368

Abstract

Corona Virus Disease or better known as Corona Virus has attacked all corners of the world, including Indonesia. It has been almost +1 year that this virus is still attacking Indonesia and has an impact on various sectors, one of which is education. To contain the spread of the virus, the government has set an online education system. Many complaints were experienced by students, especially students who returned home, many of them experienced difficulties in accessing the internet, so many tasks to complete, and many more. The purpose of this study is to obtain the accuracy of the classification results based on the level of accuracy of the perceptions of students who use Twitter regarding the implementation of online lectures. In this research, the method used is Naive Bayes, KNN, and Decision Tree. The data used in this study is Twitter data by crawling data. From the results of this study, the Decision Tree method has a high value among other methods with an accuracy of 61.92%, precision of 73.63%, and recall of 11.42%.
Co-Authors Afiyan Nur Chafidin Agung Dwika Rudiyanto Agung Triayudi Ahmad Yannuri Alhadi Alhadi Arika Zuraidah Arman Rama Susanto Asrul Sani Bob Aziz Danis Setiawan Deden Ferdiansyah Fahri al Rasyid Fakrurrozi Fakrurrozi Fauziah Fauziah Fefi Hades Tawarai Feliks Ferianro Kiedrowsky Feri Susanto Gatot Soepriyono Hanif Rahman Burhani Harfidz Alif Alfatihah Harfidz Alif Alfatihah Hilman Hadi Iskandar Fitri Iskandar Fitri Iskandar Fitri Ivan Setiawan Jajang Nurjaman Kodim Suparman M Iwan Wahyuddin M. Iwan Wahyuddin Meta Amalya Dewi Moh. Iwan Wahyuddin Mohamad Aldjawad Muhamad Biyan Abdulah, Naif Farhan Rian Harianto Rizal Bagus Pambudi RR. Ella Evrita Hestiandari Septi Andryana Tobby Wiratama Putra Ucuk Darusalam widyaningsih, tri wahyu Yusriana Chusna Fadilah