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UTILIZATION OF THE CERTAINTY FACTOR METHOD TO DIAGNOSE EYE DISEASES abdul ghani, mukti; Manurung, Hotler; Ramadani, Suci
Jurnal Nasional Teknologi Komputer Vol 3 No 4 (2023): Volume 3 Nomor 4 Oktober 2023
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v3i4.104

Abstract

In Indonesia, the number of people with eye disease increases every year. The blindness rate of the population in Indonesia is around 1.2% of the total population. People with this eye disease have problems ranging from mild to blind spots. The main causes of blindness are cataracts, corneal disorders, glaucoma, refractive errors, dry eyes, retinal disorders and nutritional disorders. Conjunctivitis, macular degeneration, diabetic retinopathy and other diseases that affect the eyes. As vision, it is necessary to keep the function of the eye from decreasing. As a person ages, the accommodation ability of the eye also decreases. The causes include sitting too long in front of a computer or staring at a cellphone screen for too long, reading a book at a distance that is not within a normal healthy distance, or the presence of dirty air and solar radiation.
IoT-based Hydroponic Plant Monitoring System Fadillah, Fadillah; Buaton, Relita; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.255

Abstract

The Industrial Revolution 4.0 has an impact in the form of changes in various fields of human civilization, one of which is the agricultural sector. By applying IoT technology, hydroponic plants will effectively be accurate. IoT has room for improvement in the quality and quantity of agricultural production because it facilitates the automation of monitoring various processes with high precision This research uses the prototype method. Which uses the concept of direct monitoring and allows iterative changes to be made until the desired results are achieved. So this prototype method makes it possible to display the display directly. The microcontroller used is ESP32 which is connected to 3 sensors, namely the TDS sensor, DHT11 sensor and HC-SR04 sensor which are directly updated in the blynk application. In making the software program used is the Arduino IDE. Implementation of the tool is carried out on a floating raft installation. This iot-based hydroponic plant monitoring system has been successfully made and is able to monitor well. Because the system made is related to water, it is necessary to design a tool that is safer and has more protection so that it can’t only run well but also safer for users and a high level of durability.
Grouping Patient Data Based On Work And Place Of Residence On Perceived Complaints Sembiring, Jhody Alkhalis; Maulita, Yani; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.268

Abstract

Every day the Sawit Seberang Health Center serves many patients with various kinds of disease complaints from various areas in Sawit Seberang District. The number of patients can even reach tens of people in one day resulting in a large number of patient visit data. Limited information regarding the spread of diseases that are often suffered by patients in several areas at the Sawit Seberang Health Center has resulted in less optimal policy action, anticipation of treatment and prevention of disease in the community. To find information about grouping patient data based on work and place of residence for perceived complaints, a large or large data mining technique is needed, namely data mining techniques using the clustering method. The purpose of this study is to process and cluster patient data based on work, place of residence and complaints that are felt using the Clustering method, to analyze the results of applying data mining using K-Means Clustering in grouping patient data based on work, place of residence and complaints that are felt and find out the results of the settlement grouping patient data based on work and place of residence on perceived complaints using clustering and data mining methods.
Grouping Data On Infrastructure Development In Langkat District Using The Clustering Method (Case Study: PUPR, Langkat Regency) Diva Alifya; Buaton, Relita; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.278

Abstract

A building is a man-made structure consisting of walls and a roof permanently erected in a place. Buildings can also be called houses and buildings, namely all facilities, infrastructure or infrastructure in culture as well as human life in building their civilization. Public Works and Public Housing (PUPR) play an important role in increasing the development of national infrastructure in Indonesia so that PUPR can assist in clustering research in infrastructure development in Langkat Regency which is very large every year by grouping the data based on activity names, company names, sub-districts development, and look at the last four years.To classify existing development infrastructure in Langkat Regency with the previous system used by the PUPR Service which is still running by recording in a ledger and hindering reporting performance in grouping PUPR service infrastructure development in road construction, bridge construction and others. So that the existence of grouping using the clustering method helps the PUPR service in clustering infrastructure development data in Langkat Regency to be more effective and efficient.The clustering method is one of the methods that can be applied in classifying infrastructure development data taken from the analysis of Langkat Regency PUPR data regarding developments that have taken place in several sub-districts in Langkat Regency. This clustering method has been widely used by previous studies to group data
Application of Data Mining in Analyzing the Effect of Parents' Employment and Education Level on Student Behavior Using the A PRIORI Method (Case Study: SDN 024769 Binjai) Mayaza, Suha Baby; Buaton, Relita; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.279

Abstract

Behavior is a person's reaction to a stimulus that comes from the external environment. Parents are one of the main factors in the formation of children's behavior. This study aims to find out the effect of parents' work and education on student behavior. By using RapidMiner in testing 234 SDN 024769 Binjai student data, using the Apriori method and setting a minimum support value of 8% and 70% confidence, 1207 rules were obtained in the entire set and 2 rules in 9 itemsets. And the best rule with the highest value is obtained, if the father's job is self-employed, the mother's job is self-employed, the father's last education is high school, the mother's last education is high school, the time the father spends working is more than 8 hours per day, the time the mother spends working is more than 8 hours per day, the time the father spends on family is every day, and the time the mother spends on family is every day then the student has good behavior at school, with a support value of 8.5% and a certainty value of 95.2%.
Diagnosis of Baby Blues Syndrome sing the Certainty Factor Method (Case Study: FULL BETHESDA Hospital) Sulisni; Fauzi, Achmad; Ramadani, Suci
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.289

Abstract

Baby blues syndrome is a psychological disorder experienced by women after giving birth, such as feeling excessively upset and sad, and tired for no apparent reason. About 80% of women who have just given birth will experience Baby blues Syndrome, if this continues and is prolonged it will be very dangerous for the health of the mother and baby. From the problems above, the hospital needs to have an additional system that can help make it easier for the medical team to speed up handlers in analyzing and diagnosing Baby blues Syndrome suffered by patients using the certainty factor method. The purpose of this research is to build an expert system for diagnosing the symptoms of Baby blues syndrome using the certainty factor method. Based on the results of the CF calculation, the highest score is the type of baby blues syndrome with a value of 0.9602 or 96.02%. From the results obtained, the system identified that the patient had a type of baby blues syndrome.
Pelatihan Pembuatan Sabun Cuci Piring Dari Bahan Alam Daun Pandan dan Jeruk Nipis Bagi Ibu-Ibu PKK di Dusun II Desa Buluhcina Kecamatan Siak Hulu Kabupaten Kampar Arif, Muhammad; Margi Sidoretno , Wahyu; Iballa, Brilian Dini MA.; Lestari , Suci Shinta; Restia, Novi Dini; Muhammad Zamri; Aisyah Fadhiyah Zaroh; Vivi Vazelah; Windi Wulandari; Faiza Furqoningsih; Putri Marliani; Syafandi Dio Ramadani; Rhoma Saputra; Widia Puji Angraini; Sevyna Aulia Rizky; Suci Ramadani; Elma Fitri Handayani; Aulia Sekar Andini
JDISTIRA - Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Vol. 3 No. 2 (2023)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jdt.v3i2.546

Abstract

setiap rumah tangga sangat beragam tingkat kebutuhannya, tapi satu hal yang pasti bahwa semua rumah tangga sangat membutuhkan bahan untuk menjaga kesehatan anggota keluarganya dari bakteri dan kuman. Diantara bahan pembersih bakteri dan kuman dalam rumah tangga yang pokok adalah sabun pencuci piring. Sabun cuci piring merupakan bahan yang sering digunakan untuk membersihkan piring dan perabot rumah tangga. Penggunaan sabun cuci piring setiap hari memakan biaya yang cukup banyak. Tujuan dari Pengabdian Kepada Masyarakat ini untuk melakukan penyuluhan tentang pembuatan sabun cuci piring dari bahan alam daun pandan dan jeruk nipis kepada Ibu-Ibu PKK di Dusun II Desa Buluhcina Kecamatan Siak Hulu Kabupaten Kampar untuk mengurangi biaya pembelian sabun cuci piring dan sebagai peluang usaha industri rumahan. Metode yang digunakan dalam kegiatan ini adalah penyuluhan dan praktik pembuatan sabun melalui Participatory Action Research (PAR). Hasil dari kegiatan Pengabdian Kepada Masyarakat ini adalah produk berupa sabun cuci piring.
Studi Literatur: Kasus Kekerasan Seksual dan Upaya Pencegahannya Irawan, Egis Julya; Rahmadhani, Nuraisyah Novia; Azhany, Radhitya; Ramadani, Suci; Maharani, Reizki; Mu’asiroh, Husnul; Mawarni, Riska; Anggaini, Selvi; Ulfianti, Widya; Luthfiyan, Faaiz Huda; Fauza, Isnita Rahma; Amanda, Siti Dwi Tria
Jurnal Pendidikan Tambusai Vol. 8 No. 3 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v8i3.23047

Abstract

Penelitian ini bertujuan untuk menjelaskan suatu fenomena dengan sedalam-dalamnya melalui pengumpulan data sehingga dapat menunjukkan pentingnya kedalaman dan detail suatu data yang diteliti. Pada penelitian ini menggunakan metode studi literatur. Pada penelitian ini ditemukan hasil: (1) Definisi kekerasan seksual, (2) Bentuk-bentuk kekerasan seksual, (3) Faktor penyebab kekerasan seksual, (4) Dampak kekerasan seksual, dan (5) Upaya pencegahan kekerasan seksual. Permasalahan yang ditemui dalam penanganan kasus kekerasan seksual pada anak dan remaja serta solusinya yaitu: (1) lemahnya kemampuan pelaku dalam mengelola hasrat seksualnya, (2) rendahnya pemahaman pelaku dalam memahami batasan kontak fisik, (3) adanya rasa dendam pelaku pada korban, dan (4) adanya pengaruh lingkungan seperti melihat film atau gambar-gambar porno. Maka solusi yang bisa diberikan dengan melakukan pembinaan rehabilitasi pada pelaku di bawah umur dan pada pelaku yang cukup umur diberikan sanksi hukum yang sesuai dengan ketentuan Undang-Undang yang berlaku.
The Utilization of Python Models in Real-Time Data Processing for Oil and Gas Monitoring Systems Syari, Milli Allfhi; Ramadani, Suci; Sembiring, Hermansyah; Fitriani, Ayu
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp227-231

Abstract

This research aims to utilize Python models for real-time data processing in monitoring systems for the oil and gas industry, leveraging pressure and temperature sensors. The Internet of Things (IoT) is used to collect and process sensor data directly. Using Python methods, the data is analyzed to detect patterns, anomalies, and predict potential damage. Anomaly detection using the K-Nearest Neighbors (KNN) and Isolation Forest algorithms successfully detected operational anomalies with high accuracy. KNN achieved an accuracy of 90%, while Isolation Forest produced better results with an anomaly detection accuracy of 92%. Furthermore, the equipment failure prediction model built using the Logistic Regression and Random Forest algorithms showed good predictive ability. Logistic Regression reached an accuracy of 90%, with a precision of 89% and a recall of 86%. Meanwhile, Random Forest provided better prediction results with an accuracy of 92%, a precision of 90%, and a recall of 88%. The results of this research indicate that the application of Python models for IoT-based real-time data processing can significantly improve the efficiency of monitoring systems and accelerate problem detection in the field, with excellent detection and prediction accuracy.
Membangun Generasi Qur’ani Sejak Usia Dini Aslamiah, Aslamiah; Al-Faris, Dzul Fadly; Akbar, Muhammad Faidzin; Seftiawan, Rodi; Nurhayati, Siti; Khodijah, Siti; Ramadani, Suci; Sari, Laela; Dzakwan
Jurnal Pengabdian Masyarakat (JUDIMAS) Vol. 2 No. 2 (2024)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat STIKes Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54832/judimas.v2i2.297

Abstract

Pengabdian ini bertujuan untuk membuktikan apakah program generasi Qur’ani sejak dini dapat membentuk karakter anak mencintai Al-Quran. Sejauh ini sudah banyak kegiatan mengaji yang melakukan program Tahfidz. Tentunya program ini sangat bermanfaat bagi kehidupan anak dimasa mendatang. Dengan perkembangan teknologi yang semakin canggih yang dapat menggeser nilai-nilai karakter pada anak. Hal ini harus diwaspadai karena sangat disayangkan di usia yang seharusnya mengembangkan dan menanamkan karakter atau akhlak bukan malah terjerumus kepada hal-hal yang tidak di inginkan. Program mengaji bisa membangun dan mengembangkan karakter anak dalam mencintai Al-Quran sejak dini.
Co-Authors abdul ghani, mukti Abdullah Tamrin Achmad Fauzi Aditya Pratama Ahamad Mukhlasin Ahmad Ahmad Fathoni Ahmad Harjono Ainur Rofiq Sofa Aisiah Aisiah Aisyah Fadhiyah Zaroh Akbar, Muhammad Faidzin Akmal Muliadi Al-Faris, Dzul Fadly Aldo Kristian ALPICES Alwani, Afika Amanda, Siti Dwi Tria Ambarita, Indah Amirah, Tengku Balqis Ananda Sari, Dea Andi Hasriani Andilayani, Lesi Andy Wijaya Anggaini, Selvi ANGGRAINI, MELISA Annajmi Annisa Desviana Anti Anisa Arcat Ardi Munir, Muh Arif Pratama Putra Arifianto, Rosandi Arika Fitriani Arisanty, Arisanty Aritonang, Timotius Armidah Arnita, Vivi Aruan, Yulia Christy Shintara Asih Kinanti Aslamiah Aslamiah Astria, Fitri Puji Asyifah Fauzah Delfira Aulia Rahman Hakim Hasibuan Aulia Sekar Andini Auliya, Auliya Ayu Fitriani Ayu Monia, Fenny Ayu Monia Ayu Wulandari Ayu, Yulita Ayuni, Rozatul Azhany, Radhitya Azmi Asra, Azmi Bahar, Frida Baharudin, Puja Bakkareng, Bakkareng Barmi Hartesi Bella Bunda Berlian Evi Yenni Pakpahan Besse Marjani Alwi Bin Lely, Jumardi Bintang Wicaksana Br Sitepu, Dinda Isabella Brilian Dini Ma. Iballa Buaton, Relita Budi Serasi Ginting Buhari Buhari Buluaro, Ratu Fortuna Chantika, Melan Christine Natalia Pangaribuan Dahlia Patiung Darjat Saripurna Darma Taksiah Delfira, Asyifah Fauzah Dharmawan, Reza Fikri Dia Ovitri Agustin Dicky Ananda Azhari Dieo Alfiky Ananda Dilla Amelia Ramadhani Dinata, Rozzy Kesuma Dita Amelia, Dita Diva Alifya Dora, Mechi Silvia Dwi Syah Fitra Ramadhan Dzakwan Edfan Darlis Edy Hartono Efendi Efendi Eliza putri Elma Fitri Handayani Eni Purwanti, Eni Eninta Rahayu Barus Eva Darnila Fadhila, Intan Fadillah Fadillah Faiza Furqoningsih Fajriatin, Uswatun Farhan Fathurrachman, Muhammad Puja Fatmawati, Rahma Fauza, Isnita Rahma Fauzan, Itsqon Wafi Fauzi, Achmad Fauziah, Weniar Fa’ahakhododo, Fa’ahakhododo Febrina Dafit, Febrina Feni Yasari Br Surbakti Fina Nilam Sari Firman, Risman Firra Nurfajriah Fitriani Sofyan, Yanny Febry Fresti Yuliza Gea, Fide Evianti Gembira, Muhammad Gilang A, Muhammad Risky Hamdani . Hana Niska Tafonao Hannamara Furqan Nur Harahap , Afriandi Harahap, Amin Harefa, Jesslyn Elisandra Hasan, Hazrina Hasibuan, Ade Zulkarnain Hasibuan, Leni Hermita Hasria Hayati, Radhiah Helena Helena, Helena Hendika Siringoringo Herawati Herawati Herdianta Herdianta Hidayah, Arvina Nur Hikmawati Masud Hotler Manurung Hunsul Khair Ifvia Ihsan Saraini Ikram Imran Lubis Indah Permata Sari Indah Permata Sari Inka Nusamuda Pratama Inom Nasution Irawan, Egis Julya Ismaidar , Ismaidar Ismaidar I, Ismaidar Ismaniar Ismaniar Ismawati Ismawati Jaya, Rio Irhan Mais Cendra Jesslyn Elisandra Harefa Jihadin, Ahmad Nibras Joe Van Rajs Hutabarat Joko Christopher Samosir Juarsan, Laode Ihksan Kalvin Chiuloto Katen Lumbanbatu Khair, Husnul Kris Jayanti laela Sari, laela Lanteng, Hibsil Lasma Sinambela lestari, Suci Shinta lifah, Musda Limbongan, Joey Lindawati Br Surbakti Lokot Muda Harahap Lokot Muda Harahap, Lokot Muda Lubis, Muhammad Muqsith Lukita Tripermata Luthfiyan, Faaiz Huda Magdalena Simanjuntak Maharani, Reizki MANURUNG, HOTLER Margi Sidoretno , Wahyu Maruddani, Andi Widiasari Masri Masri Masyitah, Emi Mawarni, Riska Mayaza, Suha Baby Mesra, Novia Dita Meylani, Putri Mochsen Sir, Mohammad Monica, Peby Muammar Khaddafi Muhammad Aditya, Muhammad Muhammad Arif Muhammad Arif Sahlepi Muhammad Ihsan Muhammad Ikrom Muhammad Rivaldi Prastowo Muhammad Yazid Khofi Muhammad Zamri Muliawan Multasam, Multasam Munadrah Munir, Muhammad Ardi Mustamin Mutathahirin, Mutathahirin Mutiara Ulpa Mu’asiroh, Husnul Nanda, Sherlly Arisa Nasarudin Nasution, Ahmad Ridwan Nasution, Chairuni Nasution, Siti Khoiriyah NENI Nesya Putri Alfian Nikmah, Mery Jazimatun Nopitasari, Teni Novita Indrawati Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nur Asiyah Nurfadillah Nuri Afrida Nusari, Nyoman Hepi Ofianto, Ofianto Oktavia, Dian Oktaviani, Resvi Pardede, Akim Manaor Hara Patriansah, Mukhsin Piper Warni Gea Pratama, M. Kurnia Putri Lestari Putri Marliani Putri Sabrina, Adin PUTRI WAHYUNI Putri, Mayci Nur Putri, Sri Yuli Ayu Putu Ferry Immanuel White, I R. Rusli R.M Rum Hendarmin Rafli Pramudia Rahmadhani, Nuraisyah Novia Rahmattullah, Rahmattullah Rahmawati, Moza Rahmayanti , Rahmayanti Rahmayanti Rahmayanti Rahmayanti Rahmayanti Rahmi Amir Rahmi, Azvi Ramadanti, Putri Dwi Ramadhani, Audi Ramadhani, Dilla Amelia Ramahdanty, Ramahdanty Rangkuti, Erwin Efendi ratika Ravil, Muhammad Restia, Novi Dini Rhoma Saputra Rika Wulandari Rio Febriyan Rismoninta Padang Risuana, Ardia Ritonga, Dinda Adetiya Rizky Ramadan Rohimi Rosima, Isfi Rubaiyn, Al Rusmin Saragih, Rusmin Salsabila, Oktavia Saptha Nugraha Isa Saputra, Ilham Saputri, Cindy Dwi Sari Safira Sari, Fina Nilam Saskia Munandar Satar, Syahrul Sazeli Rifki, Muhamad SE, Robiatul A’dawiyah Seftiawan, Rodi Selfiei Helfianto Simarmata Sembiring, Hermansyah Sembiring, Jhody Alkhalis Sembiring, Junior Kadiva Sembiring, Wildan Yuanda Malik Sevyna Aulia Rizky Sherly Eka Wahyuni Shintami Oktavia Sigit Karma Syaputra Sihombing, Anton Sihombing, Marto Sinambela, Lasma Sirait, Suprianto siregar, Hemalia putri Siregar, Muhammad Azhali Siregar, Sofiyan Siswan Syahputra Siti Khodijah Siti Nurhayati Solfema Sri Andriani Sri Defriani Br Sembiring SRI DEVI BANGUN Suci Pratiwi, Kiki suhanir suhanir Sujayanti Br.Giniting, Novia Sulisni Sulistiawati, Anggi Supri Anto Sirait Suprianto Sirait Syafandi Dio Ramadani Syahranuddin, Syahranuddin Syahrul Syaiful Ikhram Lubis Syari, Milli Allfhi Syukri Hidayat Taofiq, Rahmad Teddy Ramaditya Telaumbanua, Servasius Edwin Tendri Herma Tria Indah Ristika Tuju, Marselino Clifer Turnip, Frenki Hamonangan Ulfianti, Widya Ulia, Ulia Ultari, Eldisa Prayana Ulul Azmi Utami, Fitri Vevi Sunarti Vhiona, Clarissa Audhia Vivi Vazelah Wahyudi, Eri Wanda, Neri Mei White, I Putu Ferry Immanuel Widia Puji Angraini Wildan Yuanda Malik Sembiring wildan yuanda malik sembiring Windi Wulandari Windu Viatra, Aji Wiranata, Rio Yani Maulita Yansah, Randa Yenni Pakpahan, Berlian Evi Yudhistira, Bonar Yulia Christy Shintara Aruan Yuliarman, Putri Yunus, Ahmad Tamsil Yusmanidar Zainal, Dini Fitri Zeky, Serpuadi Zeno Eronu Zalukhu ZhelinTri Sah Billah zulaika safira Zuliani - _, Nuzuliya