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All Journal Jurnal Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA Ainet : Jurnal Informatika Journal of Computer System and Informatics (JoSYC) Madaniya SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Teknologi
Uky Yudatama
Universitas Muhammadiyah Magelang
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Information Technology Governance Awareness: A Proposed Formula for Assessment Uky Yudatama; Dwi Ekasari Harmadji
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4310

Abstract

This article aims to provide a proposed formula that can be used to measure the level of success in the practice of Information Technology Governance. To obtain this formulation, in-depth surveys and interviews involving several experts are needed. The calculation results show that organization G has an awareness value of 93 (good) with a maturity value of 3.13. On the other hand, organization E has an awareness value of 70 (medium) with a maturity value of 2.60. This proposed formula can be used as an alternative way to determine the level of success of an organization in the practice of Information Technology Governance by knowing the level of awareness. So far, to determine the level of success in implementing IT Governance practices in an organization, the method used is to calculate the maturity level that refers to COBIT best practices, which only focus on objects but do not focus on subjects (stakeholders) in the organization.
Clustering Prevalensi Stunting Balita Menggunakan Agglomerative Hierarchical Clustering Maulina Rizky Anggraeni; Uky Yudatama; Maimunah Maimunah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5501

Abstract

Indonesia is a country that still has a high stunting prevalence rate of around 36%, ranking 5th with the highest stunting prevalence rate. According to the WHO (World Health Organization) this figure has not reached the expected rate, which is below 20%. Out of 180 countries in the world, nutrition problems in Indonesia are ranked 117th which is still far behind neighboring countries, such as Malaysia which is ranked 44th, Vietnam is ranked 58th, Thiland is ranked 64th, and Singapore is ranked 12th. have a stunting prevalence rate above 20%. Clustering is the process of analyzing data to group similar data into one class and different from other classes. This research was conducted using the Agglomerative Hierarchical Clustering Average Linkage method with a bottom-up approach. The data used is the prevalence of stunting in Tegalrejo using data totaling 2397 in January for toddlers and 3256 in February. The results of the clustering form 3 levels of stunting prevalence each month which can be translated into low prevalence, moderate prevalence, high prevalence, these labels are obtained based on the mean value in each cluster. From the clustering results, there were 5 villages with a low prevalence of stunting in January and February. In villages with a moderate prevalence of stunting, there were 12 villages in January and 10 villages in February. In villages with a high prevalence of stunting in January there were 4 villages and in February 6 villages. This means that there are additional villages with a high prevalence of stunting.
Prediksi Produksi Biofarmaka Menggunakan Model Fuzzy Time Series dengan Pendekatan Percentage Change dan Frequency Based Partition Dwi Ekasari Harmadji; Solikhin Solikhin; Uky Yudatama; Agus Purwanto
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 1: Februari 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20231016267

Abstract

Masa depan biofarmasi semakin cerah. Akibat mahalnya harga obat modern, maka permintaan tanaman obat meningkat di dalam dan luar negeri. Hal ini karena biofarmaka banyak digunakan di industri lain, seperti makanan, minuman, dan kosmetik. Konsumen di seluruh dunia termasuk di Indonesia bergerak menuju produk makanan dan kesehatan yang lebih sehat dengan slogan "kembali ke alam". Dengan demikian permintaan tanaman obat sebagai bahan baku industri lainnya juga meningkat. Untuk mengatasi masalah tersebut diperlukan suatu prediksi untuk menentukan besaran kenaikan atau penurunan jumlah produksi komoditas strategis biofarmaka untuk beberapa tahun ke depan, sehingga Memungkinkan analisis pergerakan tren dari perkembangan data sebelumnya. Saat ini belum dijumpai studi peramalan deret waktu untuk memprediksi produksi biofarmaka dengan tingkat akurasi baik. Dalam eksperimen ini kami mengusulkan model peramalan fuzzy time series berdasarkan pendekatan percentage change sebagai himpunan semesta dan frequency-based partition yang dapat memberikan tingkat akurasi peramalan yang tinggi. Prediksi difokuskan pada biofarmaka untuk empat jenis rimpang yaitu Jahe, Lengkuas, Kencur, dan Kunyit yang dinilai menjadi prioritas utama pengembangan tanaman obat di Indonesia. Dalam penelitian ini menggunakan data sekunder yang diperoleh dari Badan Pusat Statistika tahun 1997-2020. Tujuan dari survei adalah untuk memprediksi dan menganalisa perkembangan produksi biofarmaka untuk empat jenis rimpang. Hasil prediksi menunjukan akurasi luar biasa dengan nilai Mean Absolute Percentage Error yang sangat kecil yakni Jahe 0,03%, Lengkuas 0,02%, Kencur 0,14%, dan Kunyit 0,03%. Dengan demikian hasil eksperimen ini dapat berkontribusi dan digunakan bagi pihak yang berkompeten untuk membantu dalam menentukan kebijakan strategis di masa depan. AbstractBiopharmaceuticals' future is brightening. Due to the exorbitant cost of modern treatment, the desire for medicinal herbs is growing. due to their widespread use in different industries such as food, beverages, and cosmetics. Consumers worldwide, especially in Indonesia, are gravitating towards healthier food and health goods. So the demand for medicinal plants as raw materials increases. To solve this issue, a forecast is required for the next few years on the increase or decline in production of strategic biopharmaca commodities. Currently, no reliable time series forecasting study exists for biopharmaca production. To achieve high predicting accuracy, we present a fuzzy time series forecasting model based on percentage change as a universal set and frequency-based partition. Ginger, Galangal, Kencur, and turmeric are predicted to be the most important rhizomes for biopharmaca research in Indonesia. Secondary statistics from the Central Statistics Agency for 1997–2020 This study's goal was to anticipate and analyze biopharmaca synthesis in four rhizomes. The prediction results are incredibly accurate, with Mean Absolute Percentage Error values of just 0.03%, 0.02%, 0.14%, and 0.03% for Ginger, Galangal, Kencur, and Turmeric, respectively. Thus, competent parties can use the outcomes of this experiment to help determine future strategic policies.
Implementasi Metode Dempster-Shafer Untuk Deteksi Kesehatan Mental Pada Mahasiswa Berbasis Web Alif Jalaluddin; Endah Ratna Arumi; Dimas Sasongko; Sambodo Sriadi Pinilih; Uky Yudatama; Muhammad Resa Arif Yudianto
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4830

Abstract

Mental health is a person's soul condition to budaptasi in its environment to feel happy or get the comfort of life, so as not to experience mental disorders. Often mental health is ignored by most people because it is different from physical health that can be seen directly with the eyes and can be identified easily. Lack of awareness of mental health in the life of the people of Indonesia and the assumption that a person who goes to psychologists is a person inseasonable, often the individual who actually undergoes mental health problems reluctant to get help from experts or deny that he does not have mental health problems. Limitations of time and costs are also one of the constraints of a student reluctant to get help from experts like psychologists. Therefore, a web-based expert system is built with a dempster-shafer method to use as detection on the student and allows the user to know whether the user has a tendency of the problem on its mental health or not before the official consultation is required from the expert. Testing Accuracy Comparison System between the results of the system and experts by using 100 correspondents from students at Muhammadiyah Magelang University (UNIMMA) 89% know mental health and 65% have experienced mental disorders. The results of the SRQ29 data used and were spread among campus students, this study has used 20 sample data and produces 70% expert suit compliance. From the results of expert suitability obtained from the calculation of the system by selecting symptoms and automatically the system will calculate the accuracy of the existing Belief Valident in every symptom. Then the system will take decisions based on the results of the largest calculation value.
SISTEM PAKAR UNTUK DIAGNOSIS KERUSAKAN MESIN MOBIL PANTHER BERBASIS MOBILE Uky Yudatama
Jurnal Teknologi Vol 1 No 2 (2008): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Universitas AKPRIND Indonesia

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

Abstract

Kerusakan pada mesin mobil terjadi akibat kelalaian dalam melakukan perawatan. Pemilik mobil baru menyadari kerusakan setelah mobil tidak dapat beroperasi sebagaimana mestinya. Oleh karena itu dalam penggunaan mobil kemungkinan besar membutuhkan perawatan berkala. Dengan cara mendeteksi kerusakan apa yang terjadi pada mobil. Misalnya, jika mobil bersuara berisik dan tidak mempunyai gambaran mengapa hal tersebut terjadi, hal inilah yang mendorong pembangunan sistem pakar untuk mengidentifikasi kerusakan mesin mobil. Penyampaian informasi pun dilakukan menggunakan perangkat mobile dengan meminta request dari user. Request tersebut akan diproses dalam sistem kemudian hasilnya akan dikirim lagi ke user dengan ditampilkan pada layar perangkat mobile. Diharapkan sistem ini mampu memberikan informasi yang optimal dari timbal balik user dan sistem. Penelitian ini diharapkan mampu memberikan informasi segala hal yang berhubungan dengan masalah kerusakan mesin secara cepat dan efisien secara timbal baik antara user dan sistem tetapi tetap optimal meski dalam small device.
Co-Authors Agus Purwanto Alif Jalaluddin Ardhin Primadewi Dimas Sasongko Eko Joko Pamungkas Emilya Ully Artha Endah Ratna Arumi Harmadji, Dwi Ekasari Maimunah Maulina Rizky Anggraeni Mohd Khanapi Abd Ghani Muhammad Nuzril Isro Muhammad Resa Arif Yudianto N Agung Prabowo Nuryanto Purwono Hendradi R Arri Widyanto Resa Arif Yudianto Resa Arif Yudianto Reza Ena Erlinda Rofi Abul Hasani S.N Mahfuzah Sambodo Sriadi Pinilih Setiya Nugroho Setiya Nugroho Solikhin Solikhin Sukmasetya, Pristi