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Penerapan Struktur Backpropagation Pada Jaringan Syaraf Tiruan Untuk Mendeteksi Gangguan Penyakit Tropis Novi Yanti
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2018: SNTIKI 10
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (202.182 KB)

Abstract

 Tropical disease is the most common diseases in tropical and subtropical regions. Many factors affected the spread of these diseases, such as poor sanitation and bad environment. Islam establishes the principles in maintaining health through the cleanliness, wudu, and taking bath regularly. Technology through the expert system development tried to transform the expertise knowledge into computers that can mimic the workings of the human brain. One of the methods applied is Artificial Neural Network (ANN) with backpropagation structure. This method detected the tropical diseases of patients, including Dengue Hemorrhagic Fever (DHF) and Typhoid Fever to perform the appropriate treatment as early as possible. ANN diagnosed the type of diseases by identifying the pattern of symptoms in patients. ANN training was presented using 80% of training data and 20% test data. The binary sigmoid activation function [0 1] is used. The learning rate (α) values 0.05, 0.1, 0.2, 0.5, 0.75 and the hidden layers values 10, 50 and 100 are used in testing process. ANN trained the input symptoms, thus the results proposed whether patients affected by any kinds of tropical disease or not. Keywords: DBD, hidden layer, JST, learning rate, Tifoid
Implementasi Metode Learning Vector Quantization (LVQ) Untuk Sentimen Analisis Terhadap Aplikasi Go-Jek Pada Playstore Arif Pratama Budiman; Elvia Budianita; Novi Yanti; Reski Mai Candra
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 3 (2022): Juni 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i3.4287

Abstract

Abstrak— Perkembangan teknologi dan informasi pada saat ini sangat pesat, terutama di Indonesia. Salah satu teknologi yang berkembang pesat di Indonesia saat ini adalah  teknologi dalam bidang transportasi yaitu, transportasi online. Dengan adanya transportasi online ini sangat membantu segala aktifitas masyarakat. Terdapat beberapa platform tranasportasi yang ada di Indonesia, salah satu yang terkenal adalah transportasi online Gojek. Apliikasi Gojek dapat dengan dengan mudah di download pada google plyastore. Playstore adalah sebuah aplikasi yang berguna untuk mengunduh berbagai aplikasi. Playstore juga menyediakan fitur penilaian terhadap aplikasi yang tersedia di platform tersebut, dengan adanya fitur penilaian ini pengguna dapat memberikan penilaiannya dan juga berkomentar terhadap aplikasi yang digunakannya. Dengan adanya fitur komentar ini maka dapat di lakukannya sentimen analisis untuk mengetahui sentimen publik terhadap suatu aplikasi. Dalam penelitian ini langkah awal yang dilakukan adalah mengumpulkan data dan juga memberikan laber terhadap seluruh data, pada penelitian ini terdapat 3 label yaitu positif, netral, dan Negatif dengan jumlah 900 data. Selanjutnya melakukan proses analisa preprocessing dan juga dilanjutkan dengan proses pembobotan TF, kemudian baru dilakukannya proses klasifikasi menggunakan metode Learning Vector Quantization (LVQ). Hasil pengujiannya sendiri dilakukan dengan menggunakan metode Confussion Matrix. Berdasarkan dari proses dan hasil  pengujian yang di lakukan di dapatkan akurasi terbaik pada perbandingan 90 : 10 sebesar 84,44% yang sebagian besar bernilai positif.  Kata Kunci: transportasi online, Sentiment analysis , Playstore, Klasifikasi, Learning Vector Quantization Abstract— The development of technology and information is currently very fast, especially in Indonesia. One technology that is developing rapidly in Indonesia today is technology in the field of transportation, namely online transportation. The existence of online transportation is very helpful for all community activities. There are several transportation platforms in Indonesia, which is well-known online transportation called Gojek. The Gojek application can be easily downloaded on the Google Playstore. Playstore is an application that is useful for downloading various applications. Playstore also provides an assessment feature for applications available on the platform, with this assessment feature users can provide an assessment and also comment on the applications they use. With this comment feature, sentiment analysis can be done to find out public sentiment towards an application. In this study, initial step was taken to collect data and also provide a label for all data, in this study there were 3 labels, namely positive, neutral, and negative with a total of 900 data. Next, perform the preprocessing analysis process and also continue with the TF-IDF weighting process, then the classification process is carried out using the Learning Vector Quantization (LVQ) method. The results of the test itself are carried out using the Confusion Matrix method. Based on the process and the results of the tests , the best accuracy obtained is at ratio of 90 : 10 by 84,44%,which is most of it are positiveKeywords:Online Transportation,sentiment analysis , Playstore, Classification, Learning Vector Quantization 
Sistem Pakar Diagnosa Gangguan Stress Pasca Trauma Menggunakan Metode Certainty Factor Marliana Safitri; Fitri Insani; Novi Yanti; Lola Oktavia
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 4 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i4.6309

Abstract

Mental health disorder or commonly called Mental Health Disorder is a disturbing psychological behavior and is followed by traumatic events such as shock shell, war fatigue, accidents, victims of sexual violence, and the covid pandemic. Cases of post traumatic stress disorder data from Indonesian Psychiatric Association amounted to 80% of 182 examiners experiencing symptoms of post-traumatic stress due to exposure to covid, 46% experienced severe symptoms, 33% moderate, 2% mild and others did not show symptom. This study aims to diagnose post traumatic stress disorder using the assurance factor method with 35 symptom data and 3 levels of post traumatic stress disorder as a knowledge base. The certainty factor is a circulation management method and a decision-making strategy using the confidence factor in the system. Based on the research results of the expert system for diagnosing post traumatic stress disorder, the test results obtained an accuracy of 80%. The results of the accuracy of this expert system indicate that the expert system can potentially be used to diagnose post traumatic stress disorder.
Analisa Dini Gangguan Disleksia Anak Sekolah dengan Metode Backpropagation Novi Yanti; Adil Setiawan; Sarjon Defit
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 2 (2023): Volume 9 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i2.64588

Abstract

Disleksia sering disalah artikan sebagai kebodohan atau kemalasan pada anak. Gejala disleksia dikenal dengan gangguan belajar yang meliputi mengenal huruf, mengeja, membaca, dan menulis. Meskipun gejala disleksia tidak terlihat dengan jelas, kondisi ini dapat berdampak pada perkembangan pola belajar anak. Tujuan penelitian adalah untuk mengidentifikasi gejala disleksia sedini mungkin agar tidak mengganggu perkembangan belajar pada anak. Selain itu, penelitian juga bertujuan untuk mengevaluasi keakuratan teknik yang digunakan. Analisa menggunakan metode jaringan syaraf tiruan dengan teknik backpropagation dengan memberikan nilai bobot, sehingga dapat memberikan nilai input dengan benar. Penelitian menggunakan 150 dataset, 40 variabel input dan 40 lapisan tersembunyi. Keluaran yang diharapkan mencakup disleksia atau non-disleksia. Hasil implementasi dan pengujian untuk data latih dan data uji terbaik adalah 90:10. Dengan nilai epoch maksimum 5000 dan nilai error target 0,001. Metode backpropagation dapat memberikan hasil akurasi terbaik 100% pada learning rate 0,5. Sehingga metode backpropagation dapat dengan baik mendeteksi gangguan disleksia pada anak sejak dini.
Implementasi Metode Learning Vector Quantization (LVQ) Untuk Sentimen Analisis Terhadap Aplikasi Go-Jek Pada Playstore Arif Pratama Budiman; Elvia Budianita; Novi Yanti; Reski Mai Candra
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 3 (2022): Juni 2022
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i3.4287

Abstract

Abstrak— Perkembangan teknologi dan informasi pada saat ini sangat pesat, terutama di Indonesia. Salah satu teknologi yang berkembang pesat di Indonesia saat ini adalah  teknologi dalam bidang transportasi yaitu, transportasi online. Dengan adanya transportasi online ini sangat membantu segala aktifitas masyarakat. Terdapat beberapa platform tranasportasi yang ada di Indonesia, salah satu yang terkenal adalah transportasi online Gojek. Apliikasi Gojek dapat dengan dengan mudah di download pada google plyastore. Playstore adalah sebuah aplikasi yang berguna untuk mengunduh berbagai aplikasi. Playstore juga menyediakan fitur penilaian terhadap aplikasi yang tersedia di platform tersebut, dengan adanya fitur penilaian ini pengguna dapat memberikan penilaiannya dan juga berkomentar terhadap aplikasi yang digunakannya. Dengan adanya fitur komentar ini maka dapat di lakukannya sentimen analisis untuk mengetahui sentimen publik terhadap suatu aplikasi. Dalam penelitian ini langkah awal yang dilakukan adalah mengumpulkan data dan juga memberikan laber terhadap seluruh data, pada penelitian ini terdapat 3 label yaitu positif, netral, dan Negatif dengan jumlah 900 data. Selanjutnya melakukan proses analisa preprocessing dan juga dilanjutkan dengan proses pembobotan TF, kemudian baru dilakukannya proses klasifikasi menggunakan metode Learning Vector Quantization (LVQ). Hasil pengujiannya sendiri dilakukan dengan menggunakan metode Confussion Matrix. Berdasarkan dari proses dan hasil  pengujian yang di lakukan di dapatkan akurasi terbaik pada perbandingan 90 : 10 sebesar 84,44% yang sebagian besar bernilai positif.  Kata Kunci: transportasi online, Sentiment analysis , Playstore, Klasifikasi, Learning Vector Quantization Abstract— The development of technology and information is currently very fast, especially in Indonesia. One technology that is developing rapidly in Indonesia today is technology in the field of transportation, namely online transportation. The existence of online transportation is very helpful for all community activities. There are several transportation platforms in Indonesia, which is well-known online transportation called Gojek. The Gojek application can be easily downloaded on the Google Playstore. Playstore is an application that is useful for downloading various applications. Playstore also provides an assessment feature for applications available on the platform, with this assessment feature users can provide an assessment and also comment on the applications they use. With this comment feature, sentiment analysis can be done to find out public sentiment towards an application. In this study, initial step was taken to collect data and also provide a label for all data, in this study there were 3 labels, namely positive, neutral, and negative with a total of 900 data. Next, perform the preprocessing analysis process and also continue with the TF-IDF weighting process, then the classification process is carried out using the Learning Vector Quantization (LVQ) method. The results of the test itself are carried out using the Confusion Matrix method. Based on the process and the results of the tests , the best accuracy obtained is at ratio of 90 : 10 by 84,44%,which is most of it are positiveKeywords:Online Transportation,sentiment analysis , Playstore, Classification, Learning Vector Quantization 
HUBUNGAN STATUS GIZI DENGAN KEMAMPUAN MOTORIK SISWA-SISWI KELAS ATAS SD NEGERI 19 TANJUNG KUDA KECAMATAN PUTUSSIBAU UTARA KABUPATEN KAPUAS HULU Huvat, Albuinuslinus; Supriatna, Eka; Yanti, Novi; Haetami, Mimi; Triansyah, Andika
Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Vol 12, No 3 (2023): Maret 2023
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jppk.v12i3.63732

Abstract

This study aims to determine the relationship between nutritional status and motor skills of upper grade students at SD Negeri 19 Tanjung Kuda, North Putussibau District, Kapuas Hulu District. The method used in this study is a quantitative method with a correlational approach. The population and sample in this study amounted to 47 people. The analysis technique used is to look for regression and then look for the correlation of each variable by comparing the f-table with a significant level of 0.05. The results showed that there was a significant relationship between nutritional status (x) and motor skills (y). the result of the correlation coefficient is 0.874 because the significance of the variable x and variable y is 0.05, so it is correlated. The Pearson correlation value of the two variables is 0.874, so the degree of relationship is perfect and positive correlation. From the discussion it can be concluded that there is a positive and significant relationship between nutritional status and motor skills of the upper grade students of SD Negeri 19 Tanjung Kuda, North Putussibau District, Kapuas Hulu Regency.
Peran Wakaf Dalam Mewujudkan Kesejahteraan Sosial: Perspektif Dari Tafsir Ekonomi Islam Mursal, Mursal; Lastina, Irma; Fitri, Radia; Yanti, Novi; Indra Wandi, Joni
El-kahfi | Jurnal Ekonomi Islam Vol 5 No 01 (2024): economics and islamics economics
Publisher : Sekolah Tinggi Ekonomi Syariah Manna Wa Salwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58958/elkahfi.v5i01.234

Abstract

Wakaf telah menjadi salah satu instrumen penting dalam ekonomi Islam, dengan peran signifikan dalam meningkatkan kesejahteraan sosial masyarakat. Tulisan ini bertujuan untuk mengeksplorasi peran wakaf dalam konteks kesejahteraan sosial dari sudut pandang tafsir ekonomi Islam. Melalui pendekatan kualitatif, penelitian ini menggali konsep wakaf dalam Islam serta analisis ekonomi terkait, mengaitkannya dengan prinsip-prinsip ekonomi Islam seperti keadilan, distribusi, dan keberlanjutan. Hasilnya menunjukkan bahwa wakaf tidak hanya sebagai instrumen ekonomi, tetapi juga sebagai sarana filantropi yang dapat meningkatkan akses terhadap layanan sosial dan ekonomi bagi masyarakat yang membutuhkan. Dalam konteks ini, wakaf bukan hanya menghasilkan redistribusi kekayaan, tetapi juga mempromosikan kesejahteraan sosial secara keseluruhan. Penelitian ini memberikan wawasan baru tentang potensi wakaf dalam memperkuat fondasi ekonomi Islam yang berorientasi pada keadilan sosial dan kesejahteraan umat.
Menangkal Paham Radikalisme Melalui Komunikasi Dua Arah pada Sekolah Islam dalam Perspektif Pendidikan Muslim Polity Yanti, Novi; Reflianto, Reflianto
Proceedings of Annual Conference for Muslim Scholars Vol 3 No 1 (2019): AnCoMS 2019
Publisher : Koordinatorat Perguruan Tinggi Keagamaan Islam Swasta Wilayah IV Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.66 KB) | DOI: 10.36835/ancoms.v3i1.272

Abstract

The purpose of this article was to discuss the role of public relations to prevent radicalism through two-way communication at Islamic schools in the educational perspective of Muslim polity. Islamic schools in the implementation of public relations led by the head of publicist unit. It build a strategic of communication channel management of two-way communication model with the advantage of technological developments in the era of Industrial revolution 4.0. One of them is the management development strategy based on two-way digital communication and social media in an effort to ward off the radicalism at Islamic school. Construction of two-way communication is often dominated by two-way communication of the asymmetric model. This article revealed various research findings of the school public relation role in the Islamic education in building the two-way communication. The findings of this research study average showed a tendency of Islamic school more intensive build the asymmetric models of two-way communication, where the communication channel functioned more dominant for the promotion of Islamic school positive image than the counter of radicalism.. The transaction of communication in the relationship management in which oriented to strengthening, understanding, and awareness of all staff to compensate for the promotion of public relations with wish-fulfillment Islamic schools should also be balanced with the prevention of radicalism into the Islamic education. In this way, the transaction is expected in the new two-way communication that can run balanced and symmetrical as a theory Grunig
Caesarean Section in the Perspective of Family, Health, and Islamic Law Beddu, Muhammad Juni; Yanti, Novi; Noviyanti, Noviyanti; Aslina, Neri; Daud, Normadiah
AL-ISTINBATH : Jurnal Hukum Islam Vol 9 No 1 (2024)
Publisher : Institut Agama Islam Negeri Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/jhi.v9i1.8373

Abstract

This research explores the complexities of cesarean section in the context of family, health, and Islamic law. The main objective is to understand the views and experiences of Muslim families regarding cesarean sections, as well as analyze the health impacts and legal implications associated with them. The research enriches understanding of the role of cesarean section in Muslim communities, provides comprehensive insight into aspects of family, health, and Islamic law, and offers a framework to support informed decision-making in medical practice and health care policy. This study uses qualitative methods in describing family perspectives, Islamic health, and legal aspects regarding cesarean sections. The research approach used is a legal and sociological approach. The analysis method used is content analysis to explore family perspectives, Islamic health, and legal aspects regarding cesarean sections. The findings reveal a range of perspectives among Muslim families regarding caesarean sections, with health and safety considerations being major factors in decision-making. The health impact of cesarean section on mother and baby, including risks and benefits, is also examined in depth. In Islamic law, caesarean section is permitted if necessary, to protect the life of the mother or baby. Ethical and clinical recommendations should reflect relevant religious values and views. To make a decision regarding a cesarean section, it is important to consider a variety of factors, including family views, aspects of health, and Islamic law.
MERANCANG LEMBAGA KEUANGAN MIKRO SYARIAH YANG TEPAT PADA DESA DUKUH, KECAMATAN CIBUNGBULANG, KABUPATEN BOGOR Thantawi, Tubagus Rifqy; Anwar, Miftakhul; Yanti, Novi
SAHID DEVELOPMENT JOURNAL : Jurnal Pengabdian Kepada Masyarakat Perbankan Syariah Vol 4 No 02 (2025): MEI 2025
Publisher : Jurnal Pengabdian Kepada Masyarakat Perbankan Syariah: Program Studi Perbankan Syariah.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56406/sahiddevelopmentjournal.v5i02.150

Abstract

This community service aims to design an optimal and appropriate LKMS model for village communities by considering social and economic factors and compliance with sharia values. This community service was carried out in Dukuh Village, Cibungbulang District, Bogor Regency, West Java Province. This community service uses Participatory Action Research (PAR). Dukuh Village is a fertile area for agriculture. Its area is divided into Rice Fields, Dry Land, Wet Land, Plantations, Public Facilities, and Forests with a total of 162.32 Ha. The majority of residents have commercial shops, especially small household needs shops. The main sectors in Dukuh Village are agriculture and animal husbandry. For innovation, they utilize horticultural agricultural products such as spinach for BOBOYUR or Boba vegetables. Entrepreneurs here often have difficulty applying for bank loans due to lack of knowledge about sharia banking. Therefore, it is important to provide information and education to the people of Dukuh Village about applying for sharia bank loans. The result of this activity is that the community is equipped with knowledge about Islamic Microfinance Institutions and also various financing in it. The introduction of Islamic Microfinance Institutions and Microfinance can reduce the community in financing using usury and can improve the quality of Islamic Microfinance Institutions and Microfinance
Co-Authors A, Abdul Rahim Abdullah, Musab Mohammed Abdulsatar, Athraa Abdulelah Afriani, Defi Agusri, Wiwis Agussalim, Agussalim Agustiana, Indri Albis Ya Albi Alhaetami, Mochamad Basit Andika Triansyah Anisa, Anisa Marseli Anwar, Miftakhul Aprianda, Rafi Arif Pratama Budiman Aritonang, Tiur Maulina Aslina, Neri Bakkareng, Bakkareng Beddu, Muhammad Juni Butar, Lusiana Butar Chandra Rizal Daud, Normadiah Delvianti Diah Yudhawati Eka Pandu Cynthia Eka Supriatna Elvia Budianita Erniwati Erniwati Fardhan, Muhammad Fazrol Rozi, Fazrol Fitri Insani Fitri Insani Fitri Nova, Fitri Fitri, Radia Hadya, Rizka Huvat, Albuinuslinus Ilham Mahendra Iskandar, Rhoma Ivo Dwi Ananda Jhon Rinaldo Lastina, Irma Lola Oktavia M, Agussalim Mardalisa, - Marliana Safitri Masdi, Muhammad Meri Dwi Anggraini Miftahul Ghifrah Sembiring Moelyadi Moelyadi Muhammad Affandes Muhammad Irsyad MUHAMMAD YUSUF Mursal Mursal Nasriah Nasriah Nazruddin Safaat H Nofriandi, Revi Novia Sari, Suci Novita, Elmahesa Noviyanti Noviyanti, Noviyanti Pertamarvinas, Jimy pestri, Jumia Pizaini Pizaini Primawati, - Putri, Nadila Diana Rahmad Kurniawan Rahman P, Chientya Annisa Rasidi, Rasidi Reflianto, Reflianto Remanti, Remanti Renea Shinta Aminda Renylius, Cindy Onggara Gabriel Reski Mai Candra Rice Haryati Rinaldi, Alhazar Salfadri, Salfadri Sari, Putri Sarjon Defit Satria, Fandri Setiawan, Adil Sofa, Yunarti Indra Soklek, Lusia Desita Egu Purwanti Katarina SONY SUHANDONO Sunreni, Sunreni Susi Yuliastanty Syamsurizal - - Thantawi, Tubagus Rifqy Wandi, Joni Indra Wardhana, Jerry Witri, Fellia Yelvi Fitriani Yelvi Fitriani Yolanda Yolanda, Yolanda YULIA SYAFITRI Yunengsih, Tiara Wirda Yusra, Yusra