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All Journal Jurnal Teknologi dan Manajemen Informatika DINAMIKA DOTCOM TEKNOLOGI INFORMASI Prosiding SNATIKA Vol 01 (2011) Jurnal Teknoinfo Jurnal Nasional Komputasi dan Teknologi Informasi J-Intech (Journal of Information and Technology) SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Information Technology
Diah Arifah
STIKI Malang
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Library & Information Science Neuroscience Transportation Other

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Journal : Journal of Information Technology

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Sistem Pakar Diagnosa Penyakit Pada Hewan Ternak Sapi Menggunakan Case Based Reasoning (CBR) Berbasis Android Rachmania Indah Permata Sari; Diah Arifah Prastiningtyas; Subari Subari
J-INTECH ( Journal of Information and Technology) Vol 7 No 01 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v7i01.405

Abstract

Kebutuhan akan informasi tentang penyakit sapi saat ini sangatlah dibutuhkan, hal yang biasanya terjadi pada daerah yang jauh dari pemukiman salah satunya para peternak sapi yang berlokasi di pedesaan yang jauh dari teknologi kurangnya jumlah para ahli atau pakar yang ada di lingkungan sekitar semakin memicu tingkat kegagalan yang diakibatkan oleh penyakit dan virus Maka diusulkan penelitian yang berjudul Sistem Pakar Diagnosa Penyakit Pada Hewan Ternak Sapi Menggunakan Case Based Reasoning Berbasis Android. Pada penelitian ini jenis penyakit pada ternak sebanyak 5 penyakit dengan menggunakan metode penalaran berbasis kasus dengan masukan gejala pengguna Sistem pakar diimplementasikan di Android karena pertumbuhan pengguna sangat tinggi. Metode penalaran berbasis kasus dan sistem Android ini diharapkan dapat membantu petani dalam mengatasi masalah penyakit sapi.
Penerapan Algoritma Nearest Neighbor Untuk Menentukan Rekomendasi Solusi Terhadap Layanan Kantor Teknologi Informasi STIKI Malang Yosua Kristanto; Diah Arifah Prastiningtyas; Meivi Kartikasari
J-INTECH ( Journal of Information and Technology) Vol 7 No 01 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v7i01.408

Abstract

Knowledgebase adalah sebuah sistem yang terdiri dari heuristik sejumlah rule-rule / aturan-aturan yang tersusun secara sistemtis dan spesifik, juga relasi antara data dan aturan / rule dalam pengambilan kesimpulan. Dengan adanya knowledgebase pengetahuan yang dimiliki para pakar akan tetap terjaga dan dapat disalurkan kepada rekan kerja yang lain pada saat seorang pakar sudah tidak lagi bekerja atau berada pada instansi atau divisi terkatit. Untuk mendukung sistem dalam menentukan rekomendasi solusi penanganan terhadap layanan Kantor Teknologi Informasi STIKI Malang digunakan algoritma Nearest Neighbor. Algoritma Nearest Neighbor merupakan teknik sederhana untuk mencari jarak terdekat dari tiap-tiap kasus (cases) yang ada didalam database, dan seberapa mirip ukuran kemiripan (similarity) setiap source case yang ada didalam database dengan target case. Dalam pengujian algoritma Nearest Neighbor untuk menentukan rekomendasi solusi penanganan, dilakukan sampling terhadap data keluhan yang masuk ke KTI STIKI Malang. Penulis berharap dengan diterapkannya algoritma Nearest Neighbor ini dapat memperoleh tingkat akurasi yang cukup kuat.
Penerapan Metode Jaringan Syaraf Tiruan Radial Basis Function Untuk Identifikasi Jenis Mangga Berdasarkan Pola Daun Rhesal Mahadyanto; Diah Arifah Prastiningtyas; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 7 No 01 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v7i01.411

Abstract

Daun merupakan salah satu bagian tanaman yang dapat menjadi acuan klasifikasi. Selain itu, daun lebih mudah diperoleh karena tidak tergantung pada musim. Karena memiliki perbedaan fitur pada setiap jenis mangga. Penerapan Jaringan Syaraf Tiruan Radial Basis Function Network merupakan salah satu cara untuk dapat mengklasifikasikan. Dengan cara pengumpulan data melalui pengolahan citra digital. yang berfokus terhadap ekstraksi fitur pada sebuah citra daun. Hasil dari informasi citra daun yang nantinya akan menjadi fitur fitur dalam metode klasifikasi. Fitur-fitur tersebut adalah Hue, Saturation, Value, Luas, Keliling, Major Axis dan Minor axis. Pada tahap pengujian hasil menunjukkan bahwa nilai persentase keberhasilan kurang dari 50% pada percobaan pelatihan 4 citra dan pengujian 4 citra dengan total 32 data latih dan 32 data uji. Dan pada percobaan pelatihan 7 dan pengujian 1 tingkat keberhasilan masih dibawah 50%. Untuk pengembangan selanjutnya dapat ditambahkan fitur / ciri agar persentase identifikasinya meningkat. Dan juga dibutuhkan penelitian dengan metode pemabanding agar dapat diketahui metode terbaik yang sesuai dengan penelitian ini. Dengan penelitian ini nantinya dapat dikembangkan lagi sebuah aplikasi mobile yang dapat mengidentifikasi jenis tanaman mangga berdasarkan daun, tidak hanya jenis mangga saja melainkan berbagai jenis tanaman. Sehingga bermanfaat juga sebagai media berbagi informasi bagi yang membutuhkan informasi mengenai jenis tanaman.
Sistem Pendukung Keputusan Pemilihan Kamera DSLR Dengan Metode Promethee Alfonsius Lorensius; Diah Arifah Prastiningtyas; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 7 No 02 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v7i02.439

Abstract

Digital Camera Single Lens Reflex (DSLR) is a camera with a digital system that uses a single lens mounted on the camera body. All DSLR camera brands divide their consumers in camera user classes to make it easier for users to distinguish features, such as entry-level classes, professional classes (semi-professional & professional) and middle-class (semi-advanced & advanced). The choice of DSLR cameras for consumers has quite a number of parameters that can be used as a benchmark for someone to determine which DSLR camera fits their needs and desires. Parameters used in determining DSLR cameras can be subjective judgments or objective judgments. Sometimes someone has difficulty in determining the parameters taken in determining the decision, so the choices taken in the end are not exactly what is expected. Promethee method is one of determining the order (priority) in multicriteria analysis. Simplicity, clarity and stability are the main focus of problems in the promethee method. Like most other methods, the ranking process is done by selecting several alternatives with predetermined criteria. There are nine criteria to be tested, namely: image resolution, video resolution, ISO, focus point, screen pixel, shutter speed, battery life, camera class and price. Selection of Decision Support System Applications DSLR cameras are made with web-based programming languages PHP and MySQL as database management system software. This system is expected to provide DSLR camera recommendations in accordance with the criteria determined by prospective customers efficiently and effectively, so as to minimize the possibility of losses obtained by consumers.
Sistem Pakar Pemilihan Menu Makanan Bergizi untuk Anak Balita Menggunakan Metode Certainty Factor Berbasis Web Maria Fransiska Sare Labina; Diah Arifah Prastiningtyas
J-INTECH ( Journal of Information and Technology) Vol 8 No 02 (2020): Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v8i02.551

Abstract

Food is a primary need for humans, because food is a source of energy needed by humans. The type of food itself is very varied, such as food in soup, fried foods, and others. Selection of the food menu itself is also very important, because apart from being a source of energy needed by humans, food can also help maintain the health of the human body, therefore choosing a food menu that is careless or does not have sufficient nutritional content is not recommended by doctors or experts. nutrition. Foods that are categorized as nutritious must have a balanced composition in terms of cooking ingredients, such as vegetables, side dishes and other processing ingredients. This nutritious food menu is not limited to children, adolescents, or adults only, but also for toddlers (under five years old), because at the age of a toddler, nutritious food is needed to help the growth and development of his immune system. That parents who have toddlers are strongly encouraged to choose a good food menu for their children.
Sistem Pakar Diagnosa Penyakit Pada Kucing Menggunakan Metode Forward Chaining Berbasis Android Rahadian Aditya Prayuda; Diah Arifah Prastiningtyas; Arif Tirtana
J-INTECH ( Journal of Information and Technology) Vol 9 No 02 (2021): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v9i02.557

Abstract

Zoonoses are diseases or infections suffered by animals and are naturally transmitted between vertebrates and humans. The development of zoonoses in recent years is a sign of the increasing threat of deadly diseases to humans transmitted by animals. To date, there are no less than 300 animal diseases that can infect humans. The population of domesticated cats in Indonesia is around 15 million and is in the second place with a 66% increase in the world's population [1]. However, this is not matched by the knowledge of the keepers and the availability of sufficient veterinarians. The purpose of this research is to help pet owners, especially cats, to be able to know in advance about the diseases that may attack their cats through the symptoms that arise. In its development, this system obtains data from a veterinarian expert in Malang City where there are 16 diseases that can be diagnosed by the system with 61 symptoms. The development of this system starts from literature study, data collection, data analysis, system design, to system implementation process and validity testing. From the series of studies above, the system's accuracy rate reaches 90%, which means that the system can diagnose cat disease based on symptoms properly and in accordance with the research objectives.
Sistem Pendukung Keputusan Pemilihan Pondok Pesantren Tahfizhul Qur’An Terbaik Di Malang Menggunakan Metode Analitycal Hierarchy Process Dan Promethee Eko Teguh Prasetyo; Diah Arifah Prastiningtyas; Meivi Kartikasari
J-INTECH ( Journal of Information and Technology) Vol 9 No 02 (2021): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v9i02.586

Abstract

Islamic boarding schools are one of the educational institutions that provide non-formal education in the Islamic religious field. Many Islamic boarding schools carry out Qur'an memorization programs (tahfizhul quran). Memorizing Qur'an is an activity that is very noble in the eyes of Allah SWT, because the Prophet Sallallaahu'alaihi Wasallam said which means "the best of you are those who study the Qur'an and teach it" (Narrated by Al Bukhari 4639). In Malang, there are many tahfizhul Qur'an Islamic boarding schools which have their respective strengths and weaknesses, thus making some people confused in determining where they or their children will study. On the basis of these problems, a system is needed to support decisions in the selection of a Islamic boarding school in Malang using the Analitycal Hierarchy Process (AHP) and Promethee Methods. The purpose of this system is to be able to assist some people in selecting the Islamic boarding schools with the criteria of the education system, education level, facilities, environmental conditions, the reputation of the boarding school, alumni and fees. The AHP method is used to find the weight of the criteria while the Promethee method is used to rank the Islamic boarding schools. After analyzing, designing, implementing and testing the system, it can be concluded that the system was successfully created using the PHP programming language by implementing the AHP and Promethee methods, so the best suggestions are obtained with the results of calculations on the system same as manual calculations that have been previously calculated.
Pengembangan Sistem Informasi Inventarisasi Sarana dan Prasarana Non IT di STIKI Malang Melanaumi Apriza Fahira Sa’i; Diah Arifah Prastiningtyas; Laila Isyriyah
J-INTECH ( Journal of Information and Technology) Vol 10 No 1 (2022): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v10i1.686

Abstract

BAUK is one of the work units at STIKI Malang which has the duty and authority to manage the inventory activities of non-IT facilities and infrastructure at STIKI Malang. Inventory must be carried out to ensure the quality, existence and management process of thousands of inventories in an institution. Previous research couldn’t be implemented due to differences in Inventory SOP and the lack of features made. The Information System for Inventorying Non-IT Facilities and Infrastructure at STIKI Malang which is currently being developed can record inventory faster and be able to display the latest accurate data, and provide features that are in accordance with the SOP for Inventorying the BAUK unit. The Information System for Inventorying Non-IT Facilities and Infrastructure at STIKI Malang is also equipped with features that can assist the BAUK unit in making decisions regarding the inventory process at STIKI Malang. With a research and development research method approach, this information system provides a broader development with updated features and services that are in line with the current needs of the BAUK unit inventory business process. The developments that have been carried out have resulted in new features and services that can help overcome existing problems in the BAUK unit, making it easier for the BAUK unit to carry out the inventory process at STIKI Malang.
Sistem Penunjang Keputusan Pemilihan Perumahan Terbaik Menggunakan Metode TOPSIS Berbasis GIS Titania Tara Swastika; Diah Arifah Prastiningtyas; Laila Isyriyah
J-INTECH ( Journal of Information and Technology) Vol 10 No 2 (2022): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v10i2.754

Abstract

Real estate agencies are here to help people find their dream home. There are lots of housing with various types of houses. Prospective buyers have a hard time deciding on their dream home, and so do real estate agencies. Housing agencies have difficulty providing housing recommendations according to the wishes of prospective buyers. Housing has many criteria such as location factors, land area, building area, price and others. To help the Housing Agency Team recommend housing with optimal results, a Decision Support System (DSS) is needed, which is an interactive information system that provides information and manipulates data. The appropriate method is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method used for decision making with many criteria. A view that can make it easier for the Marketing Team to see housing locations requires a map-based application (Geographical Information System). The results of this study are a decision support system for selecting the best housing.
Co-Authors Addin Aditya Alfonsius Lorensius Arif Tirtana Auliya, Niken Arra Ilma Daniel Rudiaman Sijabat Eko Teguh Prasetyo Evy Poerbaningtyas Febry Eka Purwiantono Indra Soegiharto Kristanto, Yosua Kusumasari, Adita Ayu Labina, Maria Fransiska Sare Laila Isyriyah Lorensius, Alfonsius Mahadyanto, Rhesal Maria Fransiska Sare Labina Meivi Kartikasari Melanaumi Apriza Fahira Sa’i Muhamad Tegar Maha Putra Mujiarso, Firda Rosa Olivia Prasetyo, Eko Teguh Prayuda, Rahadian Aditya Putra, Moch Yoggy Pramana Rachmania Indah Permata Sari Rahadian Aditya Prayuda Rhesal Mahadyanto Sari, Rachmania Indah Permata Sa’i, Melanaumi Apriza Fahira Siti Aminah Subari Swastika, Titania Tara Syarif, Faisal Nawwaf Tirtana, Arif Titania Tara Swastika Tri Erlina Yekti Asmoro Kanthi Yosua Kristanto