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All Journal Rekayasa Mesin Jurnal Ilmiah FIFO JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ScientiCO : Computer Science and Informatics Journal Cyber Security dan Forensik Digital (CSFD) Journal of Computer System and Informatics (JoSYC) Indonesia Berdaya International Journal of Engineering, Science and Information Technology Science Information System and Technology DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) Media of Computer Science Jurnal Pusat Kolaborasi Pengabdian Kepada Masyarakat
Rima Ruktiari
Universitas Sembilanbelas November Kolaka
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DIAGNOSA PENYAKIT KULIT PADA MANUSIA MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR Piu, Sri Wahyuningsih; Ruktiari, Rima; Aini, Nurul; Hasmin, Erfan
ScientiCO : Computer Science and Informatics Journal Vol 4, No 1 (2021): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The skin is the outermost part of the human body tissue that functions to wrap the body and provide protection for the tissues under it. In the human body, the skin includes all general tissues, including facial skin. If the skin has problems such as inflammation, reddish rash, itching, or infection, it can cause skin diseases ranging from mild to severe. In this study, will be explained about a website-based expert system by implementing the Forward Chaining and Certainty Factor methods to help diagnose and calculate the percentage of skin disease,  so that the general public can recognize the skin diseases they suffer from. The community can detect skin diseases by selecting symptoms and diseases based on the conditions experienced and obtaining information on solutions and early management of the disease they suffer from.
Sosialisasi Penggunaan Webiste Sistem Informasi Pengelolaan Dokumen Arsip Kepegawaian Berbasis Digital di Fakultas Teknologi Informasi Universitas Sembilanbelas November Kolaka Hamid Wijaya; Rima Ruktiari; Muhammad Na'im Al Jum'ah
Indonesia Berdaya Vol 4, No 2 (2023)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.2023456

Abstract

The technologies are growing rapidly nowadays including the of information of technology. In the era of using digital information technology, websites make the employees as a user itself easy to provide a service, improve the work performance, convenience, time, effort and resources, so that can make employees do their jobs more quickly and efficiently. Department of Information Technology of Sembilanbelas November Kolaka University has collected many documents and saved them as physical archives. However, the number of documents will continue to increase every day if there is no rule to manage it well. The purpose of this socialization is to help lecturers and staff to archive the physical documents of employees into digital documents. Those physical documents are changed into Portable Documents Format (PDF) form or digital images and uploaded into the website of Digital Employee’s Archive Document Management Information System. So that there is no longer a collection of physical documents. The socialization activities have been doing well and showed by the enthusiasm of the participants by doing the activities. Abstrak: Perkembangan teknologi saat ini sangat berkembang pesat termasuk di dalamnya yaitu perkembangan teknologi informasi. Di era penggunaan teknologi informasi berbasis digital, penggunaan website telah memudahkan para pegawai untuk memberikan pelayanan, meningkatkan efisiensi kinerja, kenyamanan, waktu, tenaga dan sumber daya, sehingga membuat pegawai melakukan tugasnya lebih cepat dan efisien. Universitas Sembilanbelas November Kolaka terkhususnya pada Fakultas Teknologi informasi setiap harinya telah banyak mengumpulkan dokumen dan menyimpan dokumen tersebut sebagai arsip fisik Peningkatan jumlah arsip setiap harinya jika tidak dikelola dengan benar maka akan terjadi penumpukan. Tujuan dari kegiatan sosialisasi ini adalah untuk membantu para pegawai yaitu dosen maupun tenaga kependidikan untuk melakukan pengarsipan dokumen kepegawaian berbasis digital, dalam hal ini tidak perlu lagi menyimpan dokumen secara fisik, akan tetapi dalam bentuk file PDF atau gambar untuk diunggah ke dalam website Sistem Informasi Pengelolaan Dokumen Arsip Kepegawaian Berbasis Digital, sehingga tidak terjadi lagi penumpukan dokumen fisik. Dari hasil kegiatan sosialisasi yang telah dilakukan telah berjalan dengan baik serta para peserta kegiatan sangat antusias mengikuti kegiatan karena merasa terbantu dengan adanya kegiatan sosialiasi ini dalam hal pengarsipan dokumen kepegawaian berbasis digital. 
Kombinasi Metode Evaluation Based on Distance from Average Solution (EDAS) dan Rank Order Centroid (ROC) Dalam Pemilihan Konten Layak Tonton Untuk Anak Usia Dini Ben Rahman; Isfauzi Hadi Nugroho; Rima Ruktiari Ismail; Rito Cipta Sigitta Hariyono; Nurul Mega Saraswati
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4464

Abstract

YouTube accommodates videos on almost any topic, including entertainment, guides, music, personal vlogs, news, short films, documentaries, and other variations. This allows users to access content according to their interests and needs without significant restrictions. However, the issue of unsuitable content for children on YouTube has become an increasingly prevalent topic of discussion. The main issues related to unsuitable content for children on YouTube involve videos containing inappropriate material, violence, abusive language, and false or misleading information. While efforts have been made by YouTube to address this issue, it remains a concern given the large number of videos uploaded every day. In selecting YouTube content for early childhood, there are several criteria, including safety feasibility, interesting animation, interactivity, educational value, and positive value. Thus, this research emphasizes the importance of the existence of a decision support system in helping with the selection of YouTube content suitable for children. Decision Support Systems (DSS) use data analysis methods and various algorithms to process available information and data. The author applies a combination of EDAS (Evaluation Based on Distance From Average Solution) and ROC (Rank Order Centroid) methods to select the most appropriate and safe YouTube content for young children. This approach is used to rank each assessed piece of content. This resulted in the YouTube content "Lagu Anak Indonesia Balita" getting the top rank on alternative A8 with a maximum value of 1.00000, making it highly recommended for early childhood.
PERANCANGAN INFORMATION RETRIEVAL(IR) UNTUK PENCARIAN CERPEN MENGGUNAKAN METODE GENERALIZED VECTOR SPACE MODEL (VSM) Nurdin Nurdin; Nur Hayni; Rahmi Rahmi; Rima Ruktiari
Dipanegara Komputer Teknologi Informatika Vol 15 No 2 (2022): Jurnal Dipanegara Komputer Teknik Informatika (DIPAKOMTI)
Publisher : Dipanegara Komputer Teknologi Informatika

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Abstract

Information retrieval merupakan suatu sistem untuk menemukan kembali dokumen tidak terstruktur yang tersimpan pada sekumpulan dokumen mengenai subjek-subjek yang dibutuhkan untuk memenuhi kebutuhan informan. Salah satu masalah yang dihadapi oleh informan dalam mencari suatu informasik hususnya cerpen adalah terlalu banyaknya hasil yang muncul dari aplikasi cerpen yang ada namun belum relevan atau tidak sesuai yang diinginkan dari database/kumpulan dokumen sehingga menyulitkan informan untuk memilihcerpen yang relevan. Untuk mengatasi masalah tersebut maka dirancang sistem information retrieval menggunakan metode Generalized Vector Space Model (VSM). Hasil dari penelitian dengan metode Generalized Vector Space Model (VSM) diperoleh hasil proses pencarian yang relevan dengan melakukan pembobotan tiap dokumen yang ada pada database sehingga antara dokumen memiliki bobot yang berbeda untuk menentukan dokumen mana yang paling mirip (similar) dengan query, dokumen dengan bobot tertinggi menempati ranking teratas dalam hasil pencarian sehingga menjadikan dokumen tersebut yang paling relevan dari pencarian.
A Implementasi Model Digital Forensik Procces Untuk Sosial Media Investigation Dengan Tools Hunchly Al Jum'ah, Muhammad Na'im; Wijaya, Hamid; Ismail, Rima Ruktiari
Cyber Security dan Forensik Digital Vol. 6 No. 2 (2023): Edisi Bulan November tahun 2023
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/csecurity.2023.6.2.4265

Abstract

Perkembangan teknologi yang semakin pesat dapat menjadi dampak posistif dan dapat negatif. Dampak positifnya adalah proses penyebaran informasi yang semakin cepat, namun dampak negatifnya adalah banyaknya informasi hoax dan hate space yang terjadi di media sosial akibat tidak adanya filter dan pengecekan keabsahan informasi. Hal ini juga mengakibatkan banyaknya tindak kejahatan yang terjadi di media sosial. Salah satu pemecahan masalah dengan banyaknya kasus yang terjadi akibat penyalahgunaan media sosial adalah dengan melakukan proses invesitgasi forensic pada social media. Proses investigasi forensik ini dilakukan dengan metode live investigation menggunakan metode digital forensik proses yang terdiri dari proses Collection, Examination, Analysis dan Reporting. Proses pengumpulan barang bukti dengan menggunakan tools hunchly sehingga dapat dilakukan proses investigasi secara langsung. Hasil dari penelitian ini adalah dengan memanfaatkan metode digital forensik proses dan penggunaan tools hunchly untuk melakukan teknik live investigation untuk melakukan pengumpulan bukti digital dari akun-akun media sosial yang melakukan tindak kejahatan di media sosial sehingga dapat di proses sesuai dengan peraturan hukum yang telah berlaku Kata kunci: Bukti Digital, Media Sosial, Digital Forensik, Hunchly ------------------------------------------------------------------- The increasingly rapid development of technology can have both positive and negatif impacts. The positive impact is that the process of disseminating information is getting faster, but the negatif impact is the large amount of hoax information and hate space that occurs on social media due to the absence of filters and checking the validity of the information. This also results in many crimes occurring on social media. One solution to the problem with the many cases that occur due to misuse of social media is to carry out a forensic investigation process on social media. This forensic investigation process is carried out using the live investigation method using a digital forensic process method consisting of Collection, Examination, Analysis and Reporting processes. The process of collecting evidence uses powerful tools so that the investigation process can be carried out directly. The results of this research are by utilizing digital forensic process methods and using hunchly tools to carry out live investigation techniques to collect digital evidence from social media accounts that commit crimes on social media so that it can be processed in accordance with applicable legal regulations. Keywords: Sosial Media, Digital Forensics, Hunchly
Sistem Deteksi Penyakit Alternaria Leaf Spot Pada Daun Apel Berdasarkan Warna dan Operasi Morfologi Muchtar, Mutmainnah; Muchlis, Nur Fajriah; Muliyadi, Muliyadi; Karim, Rahmat; Ruktiari, Rima
JATISI Vol 11 No 2 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i2.7578

Abstract

Indonesia is an agrarian country heavily reliant on agricultural commodities. Apples, in particular, hold significant importance in this agricultural context, making a substantial contribution to the nation's agricultural prosperity. However, the agricultural sector faces challenges, notably in the form of diseases like Alternaria Leaf Spot, which have the potential to adversely affect crop yields. This research introduces a system for detecting Alternaria Leaf Spot disease on apple leaves, utilizing RGB color space and mathematical morphology operations. Implementing a GUI-based approach through Matlab software, the system efficiently detects infected areas, achieving good performance with a precision value of 96.22% and a recall of 88.74%. The color-based segmentation process, combined with morphological operations, results in the generation of bounding boxes around infected areas. Evaluation using a dataset of 45 apple leaf images demonstrates success in detecting and quantifying leaf spots. These positive outcomes underscore the practical potential of the system in automating efficient monitoring of apple plant diseases, paving the way for further developments in image-based plant disease detection.
Expert System for Determining Diseases and Pests in Seaweed Using Forward Chaining (Case Study : Watorumbe Village, Mawasangka Tengah) Asriani, Ika; Muchtar, Mutmainnah; Ismail, Rima Ruktiari; Paliling, Alders; Sya'ban, Kharis; Karim, Rahmat
Media of Computer Science Vol. 1 No. 1 (2024): June 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i1.175

Abstract

Seaweed is a marine organism that plays a crucial role in both ecosystem and economy. However, it often faces attacks from diseases and pests that can jeopardize the productivity and sustainability of the seaweed industry. Hence, the development of an expert system to diagnose seaweed diseases and pests becomes imperative. This research aims to develop an Expert System for Determining Diseases and Pests in Seaweed using the Forward Chaining method, with a case study conducted in the Watorumbe Village, Mawasangka Tengah Sub-district, Southeast Sulawesi. The Forward Chaining method is employed to identify symptoms appearing in seaweed and determine potential diseases or pests. Testing is carried out with 30 data samples compared against expert diagnoses, resulting in an accuracy rate of 90%. Therefore, this system has the potential to assist seaweed farmers in diagnosing diseases and pests more quickly and accurately, thereby enhancing the productivity and sustainability of seaweed cultivation efforts.
Application of Tsukamoto Fuzzy Logic in Expert System Application for Diagnosing Web-Based Skin Diseases KN, Nurwijayanti; Rasna, Rasna; Ismail, Rima Ruktiari; Sugiharto, Agus; Nugroho, Fifto
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.827

Abstract

Skin health is essential for everyone. In addition to supporting someone who can reduce self-confidence, skin diseases can also interfere with a person's concentration in activities. An expert system is a system designed to be able to imitate the expertise of an expert in answering questions and solving a problem. The expert system will solve a problem obtained from a dialogue with the user. With the help of an expert system, someone who is not an expert can answer questions, solve problems, and make decisions that an expert usually makes. This needs to be anticipated and handled seriously, especially for types of skin diseases, some of which can be fatal, and some can even be classified as cancer. Experts are needed to diagnose each disease in this case, but consultation with experts requires costly funds. For this reason, this system is designed to help people diagnose skin diseases online, making it easier for sufferers to diagnose the diseases they suffer from by themselves. The method used is the fuzzy Tsukamoto method. Analysis of the introduction of the disease is carried out by identifying various symptoms of the disease. The types of diseases diagnosed include tinea versicolor [P001], scabies [P002], ringworm [P003], dandruff [P004], vitiligo [P005], pityriasis alba [P006], hives [P007], erythema multiforme [P008], acne [P009], keloids [P010], melanoma [P011], eczema [P012], boils [P013], measles [P014], psoriasis [P015], impetigo [P016], and herpes [P017]. Skin disease sufferers can diagnose their disease without consulting with a specialist directly. This system can be used as a substitute for a specialist in producing a diagnosis in the form of the name of the disease suffered by the system user (user). This system provides a solution for users regarding more economical disease diagnosis.
Pelatihan Penggunaan Aplikasi Penjualan Berbasis Barcode Pada Apotek Alwina II Kota Baubau Sarimuddin; Mutmainnah Muchtar; Rima Ruktiari Ismail; Muliyadi; Rahmat Karim; Kharis Sya’ban; Sunyanti; Hamid Wijaya; Muh. Na’im Al Jum’ah; Dirman
PUSAKA ABDIMAS Vol. 1 No. 1 (2024)
Publisher : Yayasan Serumpun Karang Konservasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61548/pa.v1i1.32

Abstract

Dalam era digital, penggunaan aplikasi penjualan menjadi sangat penting bagi apotek untuk meningkatkan efisiensi dan akurasi dalam proses administrasi penjualan serta manajemen persediaan. Kegiatan pengabdian ini bertujuan untuk meningkatkan efisiensi administrasi penjualan di Apotek Alwina Farma 2 Kota Bau-Bau melalui pelatihan penggunaan aplikasi penjualan berbasis barcode. Tim Pengabdian kepada Masyarakat (PkM) dari Universitas Sembilanbelas November (USN) Kampus B Buton Tengah mengembangkan aplikasi ini dan memberikan pelatihan intensif kepada para pegawai apotek. Evaluasi kegiatan dilakukan menggunakan lima item pertanyaan untuk mengukur pemahaman dan kemampuan operasional peserta terhadap aplikasi yang telah dikembangkan. Hasil evaluasi menunjukkan bahwa secara keseluruhan, para peserta mampu memahami dan mengoperasikan aplikasi penjualan berbasis barcode dengan baik. Pelatihan yang diberikan terbukti efektif dalam meningkatkan efisiensi proses administrasi penjualan di apotek, khususnya di Apotek Alwina Farma 2 Kota Bau-Bau. Diharapkan dengan adanya aplikasi ini, berbagai apotek lainnya juga dapat menerapkan teknologi serupa untuk meningkatkan efisiensi dan akurasi dalam proses penjualan dan manajemen persediaan.
ANALISIS TINGKAT KESIAPAN PEMBELAJARAN DARING DI MASA PANDEMI COVID-19 PADA GURU SMK RUKTIARI, RIMA; SEPTIANA, ASYIFA IMANDA; PIU, SRI WAHYUNINGSIH
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 6 No 2 (2021): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.954 KB) | DOI: 10.24252/instek.v6i2.21181

Abstract

Kebijakan mengenai sistem pembelajaran daring tiap jenjang pendidikan mulai diberlakukan di Indonesia sejak diumumkannya kasus pertama Covid-19 pada Maret 2020. Pada Sekolah Menengah Kejuruan (SMK) Program Keahlian Teknik Komputer dan Informatika baik guru maupun siswa, dianggap lebih mudah melakukan pembelajaran khususnya praktikum daring dikarenakan standar kompetensi untuk jurusan ini dapat dicapai dengan menggunakan perangkat komputer personal saja. Penelitian ini bertujuan mengukur tingkat kesiapan guru SMK Program Keahlian Teknik Komputer dan Informatika terhadap pembelajaran daring berdasarkan beberapa komponen, seperti Strategi Mengajar,  Kemampuan Mengajar, Kebijakan, serta Waktu dan Finansial. Hasil penelitian menunjukkan bahwa para guru dinilai masih belum siap dalam melakukan pembelajaran daring khususnya dari segi Kemampuan Mengajar serta Waktu dan Finansial.Kata kunci: E-learning Readiness, Pembelajaran Daring , Pandemi Covid-19
Co-Authors Agus Sugiharto Aini Nurul Al Jum'ah, Muhammad Na'im alders paliling Arnes Yuli Vandika Asriani, Ika Ben Rahman Dirman Erfan Hasmin Fifto Nugroho Hamid Wijaya Isfauzi Hadi Nugroho Judijanto, Loso La Ode Ichlas Syahrullah Yunus Muh. Na’im Al Jum’ah Muhammad Na'im Al Jum'ah Muliyadi Muliyadi Muliyadi Mutmainnah Muchtar Nur Fajriah Muchlis, Nur Fajriah Nur Hayni Nurdin Nurdin Nurhasan Nugroho Nurul Mega Saraswati Nurwijayanti Kusumaningrum Piu, Sri Wahyuningsih Putri, Farika Tono Rahmat Karim Rahmi Rahmi Rasna, Rasna Rito Cipta sigitta Hariyono Sarimuddin, Sarimuddin Septiana, Asyifa Imanda Siregar, Juarni Sunyanti Syaban, Kharis Wijaya, Hamid