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All Journal JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Jurnal Penelitian Teknologi Informasi dan Sains Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Saturnus: Jurnal Teknologi dan Sistem Informasi
Novriyenni Novriyenni
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Humanities Computer Science & IT Economics, Econometrics & Finance Environmental Science Library & Information Science

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Sistem Pakar Mendiagnosa Penyakit Kambing Menggunakan Metode Dempster Shafer Nurul Alya Harahap; Novriyenni Novriyenni; Rahmadhani Rahmadhani
JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Vol 2 No 2 (2022): JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen
Publisher : Universitas Muhammadiyah Enrekang

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Abstract

Kambing merupakan hewan yang kaya akan manfaat karena dapat menghasilkan daging, susu dan kulit yang berkualitas baik. Dalam berternak kambing tidaklah selalu berjalan mulus, hal yang dialami oleh peternak yaitu kambing yang terserang penyakit. Salah satu tindakan antisipasi adalah mengetahui seperti apa gejala dan penyakit tersebut, sehingga bisa diambil kesimpulan untuk penanganan hewan kambing yang terserang penyakit. Dari uraian tersebut perlu dibuat suatu sistem yang dapat dibutuhkan suatu teknologi yang dapat memberikan informasi penanganan penyakit kambing dan dapat mendiagnosa penyakit kambing secara cepat dan tepat yaitu menggunakan sistem pakar. Dengan adanya sistem pakar dapat membantu para peternak dalam melakukan penanganan dini terhadap penyakit yang menyerang kambing. Untuk mendukung sistem pakar dalam penyelesaian masalah, dibutuhkan suatu metode yang digunakan untuk memecahkan masalah tersebut. Metode yang digunakan yaitu Dempster Shafer. Pada metode Dempster Shafer ini, menggunakan pemrograman php dan database MySQL untuk mendiagnosa penyakit dan bobot setiap gejala didapatkan dari pakar yang menggambarkan besarnya kemungkinan terjadinya gejala terhadap suatu penyakit. Dengan sistem pakar diharapkan dapat mempermudah pengguna atau peternak dalam mendiagnosa secara dini dan penanganan yang tepat terhadap penyakit kambing yang dialami.
Sistem Pakar Mendiagnosa Penyakit Rabies Pada Kucing Dengan Menggunakan Metode Certainty Factor Livia Dirma Pr; Novriyenni Novriyenni; Husnul Khair
JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Vol 2 No 2 (2022): JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen
Publisher : Universitas Muhammadiyah Enrekang

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Abstract

Rabies merupakan infeksi virus pada otak dan sistem saraf. Umumnya, virus penyebab rabies menular ke manusia melalui gigitan hewan. Penularannya melalui air liur anjing yang terkontaminasi masuk ke dalam tubuh melalui luka cakaran atau gigitan pada tubuh. Namun, ternyata, infeksi rabies bisa terjadi pada hewan lain selain anjing, yaitu kucing.Pengetahuan tentang penyakit rabies menjadi salah satu permasalahan, terutama bagi masyarakat atau pencinta kucing. Tentu hal ini perlu untuk diketahui oleh pemilik atau pecinta kucing tentang gejala awal dan cara proses penanganan apabila memiliki ciri-ciri terinfeksi penyakit rabies. Biasanya untuk mengetahui kucing terkena rabies maka diperlukan seorang dokter hewan untuk dilakukan pemeriksaan. Namun masyarakat atau pecinta kucing malas untuk melakukan konsultasi secara langsung dengan dokter hewan dikarenakan tidak memiliki waktu atau karena sibuk akan pekerjaannya. Berdasarkan uraian di atas, maka perlu dibangun sebuah sistem yang dapat mendiagnosa penyakit rabies pada kucing. Sistem yang dibangun yaitu sistem pakar yang memiliki kemampuan seperti selayaknya pakar atau dokter.
Application of Clustering Methods on Sexual Harassment Cases Nurhafieza Nurhafieza; Novriyenni Novriyenni; Milli Alfhi Syari
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 2 No. 3 (2024): SEPTEMBER : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v2i3.2382

Abstract

Sexual harassment is one of the most common crimes in Indonesia, this act of sexual harassment can occur in daily life regardless of time, whether at work, on the street, or at home. Sexual abuse can come from unknown people, people who have hate, even people we care about. To solve problems that often occur in some cases including cases of sexual harassment that often occur in women based on certain factors, resulting in trauma to the victims who suffer physically, sexually, and psychologically, are required quick action to reduce the number in cases of sexual abuse in the area that often occur using clustering methods so that later it is expected to help the agency in socializing so that the community is more alert while in the place. From the testing conducted using 20 sexual harassment cases data there are 3 groups, namely group 1 there are 9 data and 2 groups there are 5 data and group 3 there are 6 data and it can be known that in cluster 1 is a group in the case data on sexual harassment based on the factors that are many causes with a total of 9 data and located in the age group (X) is 12-16 years, and for the group Sexual Harassment (Y) namely Physical Harassment and causing factor (Z) that is a lot due to individual factors.
Pengelompokan Menggunakan Metode Clustering Pada Pola Hidup Pengguna KB Dio Fani Prakasa; Novriyenni Novriyenni; Lina Arlianan Nur Kadim
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.206

Abstract

Healthy lifestyles are habits of doing something, be it food, healthy behavior so as to avoid the disturbance of all kinds of diseases, both physical and non-physical diseases, as well as birth control users must also strive for a healthy lifestyle, such as managing a healthy diet, rest, exercise, eating vegetables and fruits, doing optimal physical activity, not consuming alcohol, and maintaining a healthy body. In this problem, many family planning users do not pay attention to a healthy lifestyle because they think that the family planning tools used have no risk to health, but the use of family planning has side effects on health such as menstruation is not smooth, the body is obese, the body feels warm or feverish, there are blood clots, nausea, bloating, changes in vision, difficulty in getting back to normal, headaches, and others. To be able to attract the attention of the community in implementing a healthy lifestyle for family planning users, it is very necessary to have a system that can help people in changing their unhealthy lifestyle to a healthier one by grouping family planning user data based on variables that have been determined using the clustering method, to group data on healthy lifestyles for family planning users which later the results of this study can be used as input and guidance for a healthy lifestyle for family planning users, so that family planning users are more careful and have a healthy life. Of the 20 data, there are 3 groups, namely group 1 there are 4 data and group 2 there are 4 data and group 3 there are 12 data from the above results it can be seen that in cluster 3 is a group on family planning users based on a lot with a total of 12 data and is located in the contraceptive type group (X) is injectable birth control, and for the lifestyle group (Y), namely Frequent Night Baths and Risk (Z), namely Decreased Bone Strength.
Pengelompokan Data Penerima Bantuan untuk Disabilitas di Kota Binjai Menggunakan Metode Clustering Algoritma K-Means Eninta Rahayu Barus; Novriyenni Novriyenni; Suci Ramadani
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.207

Abstract

In Indonesia, people with disabilities are often overlooked and underestimated because they do not have perfect physical abilities to do certain jobs or activities. The majority of them come from underprivileged families and are often underdeveloped. The unstructured process of distributing assistance can result in the assistance provided is not in accordance with the needs, so it is not optimal in improving the welfare of persons with disabilities. In addition, without a clear grouping, it is difficult for the government to design a more specific and targeted assistance program. Therefore, to overcome this problem, the agency needs to have an additional system to be able to assist in overcoming the problem of disability assistance recipients, namely by using the clustering method to group beneficiary data based on age, type of disability, and type of assistance. Thus, this clustering is expected to provide information and a clearer picture of the needs of each disability group, so that the assistance program provided can be distributed more optimally according to what people with disabilities need. After calculating using the existing cluster formula4, iteration 2 is the same as in iteration 1 and there is no data that moves groups anymore so the calculation can be stopped. So that a cluster graph can be made grouping data on beneficiaries of assistance for disabilities in Binjai City using the K-Means algorithm clustering method.
Sistem Pakar Diagnosa Penyakit Hipertrofi hidung Menggunakan Metode Certainty Factor Andini Andini; Novriyenni Novriyenni; Rusmin Saragih
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.208

Abstract

Nasal hypertrophy is a swelling that occurs in the nasal concha. This condition is caused because the inferior concha has a larger anatomical size when compared to the other concha structures. The process of diagnosing nasal hypertrophy often requires high clinical skills and experience. RSU Putri Bidadari is one of the hospitals that treats Nasal Hypertrophy disease in patients. Nose hypertrophy disease has several symptoms that are felt which are usually caused by several factors such as exposure to certain allergens, chronic sinus infections, or a family history of similar nasal problems, so several diagnostic tests are needed that can confirm the diagnosis, such as nasal endoscopy to see directly the condition inside the nose, medical imaging such as CT scan or MRI to evaluate the structure of the nose in more detail, or allergy tests to identify the causative allergen. From the above problems, patients really need a system that becomes a recommendation in helping provide information about nasal hypertrophy disease that can diagnose early and take further action to prevent nasal hypertrophy disease. By using the certainty factor method, information from the steps above can be systematically analyzed to determine the level of confidence in the diagnosis of nasal hypertrophy. These factors can be assessed based on severity, presence of typical symptoms, correlation with risk factors, and results of physical examination and diagnostic tests. Based on the results of the CF calculation, the highest value is in the type of nasal hypertrophy disease with the type of Septal Deviation disease having a value of 1 or 100%, in the type of Rhinitis disease having a value of 94.24% and in the type of sinusitis disease having a value of 85.60%. From the results obtained, the system identifies that the patient has nasal hypertrophy with Septal Deviation type by 100%.
Diagnosis Gangguan Permasalahan Layanan Telkom menggunakan Metode Dempster Shafer Putri Riswana; Novriyenni Novriyenni; Siswan Syahputra
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.228

Abstract

The increasing complexity of public demand for telecommunication services, particularly internet services, has pushed PT. Telkom, as one of the state-owned enterprises (SOEs), to continuously enhance the quality of its services. One of its flagship products, Indihome, offers faster internet connectivity compared to dial-up services. However, Indihome has been frequently criticized by customers due to service disruptions. This indicates a need for developing effective strategies to address customer complaints. The primary issue faced by the public is the lack of knowledge regarding service disruptions, leading to difficulties in explaining the problem to technicians for repair. This research aims to develop a Telkom service disruption diagnosis system that can assist the public in identifying issues early without direct consultation with an expert. The system is developed using an expert system method, where information about service disruptions is processed to generate accurate diagnoses. With this system, customers can identify the type of disruption and provide clearer information to Telkom technicians. The research findings indicate that the most common disruptions are caused by faulty adapters or modems and disconnected configurations, with a density value of 54.49%. This system is expected to improve Telkom’s public service quality, minimize customer complaints, and expedite the repair process for Indihome services.
Sistem Pemantauan Kesuburan Tanaman Pohon Durian menggunakan Internet Of Things (IOT) Anjellita Sundari Sumarsono; Novriyenni Novriyenni; Milli Alfhi Syari
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.247

Abstract

Durian is one of the leading fruit commodities with high economic value in various tropical regions, including Indonesia. However, the durian cultivation process often faces challenges related to unstable environmental conditions, such as temperature fluctuations, soil moisture, and nutritional deficiencies which can affect the level of plant fertility and the quality of the fruit produced. Therefore, an effective and efficient monitoring system is needed to optimize durian plant care. This research aims to develop a fertility monitoring system for durian trees using Internet of Things (IoT) technology which can help farmers manage the environmental conditions of plants in real-time. The designed system uses various sensors, such as soil moisture sensors, air temperature and humidity sensors, light intensity sensors, and soil nutrient sensors, to collect relevant environmental data. The data obtained from these sensors is then processed by a microcontroller and sent via the IoT network to a cloud-based storage platform. The trial results show that this system can monitor environmental conditions with high accuracy and provide appropriate maintenance recommendations, thereby increasing efficiency in managing durian plants.
Rancang Bangun Alat Pendeteksi dan Pengusir Hama Tanaman Kangkung menggunakan Sensor Pir dan Cairan Peptisida Berbasis Internet Of Things (IOT) Putri Mayang Sari; Novriyenni Novriyenni; Milli Alfhi Syari
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.248

Abstract

This research aims to design and build a tool for detecting and repelling pests on kale plants using Passive Infrared (PIR) sensors and Internet of Things (IoT) based pesticide liquid which can be controlled via the Telegram application. This system works by detecting the movement of pests using a PIR sensor, which then activates the mechanism for automatically spraying pesticide liquid to repel pests. Users can monitor and control this tool in real-time via Telegram, providing flexibility in plant monitoring. Data from sensors is sent to the IoT platform and integrated with Telegram to provide remote notifications and control. Test results show that this tool can detect the presence of pests with high accuracy and is effective in repelling pests from the kale plant area. It is hoped that the implementation of this tool can help farmers maintain the quality and quantity of their kale harvest in a more efficient and environmentally friendly manner.
Penggunaan Metode Dempster Shafer untuk Mendiagnosa Penyakit Varicella Zoster Rahayu Utami; Novriyenni Novriyenni; Rusmin Saragih
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 5 (2024): September : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.221

Abstract

Varicella Zoster or known as chickenpox is an infectious disease caused by the Varicella Zoster virus (VSV). Chickenpox is a worldwide airbone disease. Transmission of Varicella zoster is through the air which spreads through coughing and sneezing and also through direct contact with skin lesions. This varicella disease is less of a concern for the public because of the assumption of the public that Varicella Zoster will heal on its own. Where there should be a consultation media and knowledge that can be used by the community in the prevention of varicella disease early on children. So that not every patient brought to the hospital was found to be a patient who had been infected for several days until it was severe to be treated and treated for Varicella Zoster disease. Varicella zoster disease consists of firepox (shingles) which is a follow-up infection of the virus that causes chickenpox. Chickenpox is a viral infection that causes itching on the skin and is characterized by a rash or red spots filled with fluid called elastic. The Dempster Shafer Method is the Dempster Shafer Method, which is a mathematical theory to prove based on belief function and plausibility. Belief indicates a measure of the strength of evidence in supporting a hypothesis, while plausibility indicates a state of trustworthiness. Based on the weight value given by experts on each Varivcella Zoster disease symptom data, from the results of the analysis carried out in the previous chapter, the results of the diagnosis of Varicella Zoster with the type of firepox disease (Herpes Zoster) with a density value of 98.08% were obtained. Keywords: Dempster Shafer, Diagnosis, Varicella Zoster
Co-Authors Alfina Damayanti Ame Ananda Br Ginting Amysa Putri Sitepu Andini Andini Anjellita Sundari Sumarsono Bintang Wicaksana Dini Anjani Dio Fani Prakasa Eninta Rahayu Barus Fatmaira, Zira Gultom, Imeldawaty Harninda Br Keliat Hermansyah Sembiring Ingke Fuji Utami Br Barus Kadim, Lina Arliana Nur Khadapi, Muammar Khair, Husnul Kiki Adilianti Livia Dirma Pr Marto Sihombing Nurhafieza Nurhafieza Nurul Alya Harahap Putri Mayang Sari Putri Riswana Rahayu Utami Rahmadhani Rahmadhani Ramadani, Suci Ratih Puspadini Rusmin Saragih, Rusmin Sabina Eis Zulvahira Nasution Seri Arihta Br Sitepu Siswan Syahputra Syari, Milli Alfhi Tio Ria Pasaribu William Jhonatan