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Yoga Handoko Agustin
Institut Teknologi Garut
Religion Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Implementasi Metode Certainty Faktor Pada Sistem Diagnosa Penyakit Ayam Pedaging (Broiler) Agustin, Yoga Handoko; Mulyani, Asri; Sopandi, Pendi
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1526

Abstract

Ayam Pedaging (broiler) merupakan ayam pedaging dengan ukuran tubuh besar yang dapat mencapai berat 1,8-2,5 kg dalam 5-7 minggu. Keunggulan terletak pada efisiensi konversi pakan dengan rasio 1:1,8-2,2, menjadikannya pilihan ekonomis untuk produksi daging. Permintaan terhadap daging ayam pedaging terus meningkat, terutama sebagai sumber  protein hewani, untuk memenuhin kebutuhan pangan masyarakat. Penelitian menerapkan metode ADDIE Analysis pencarian sumber data yang akurat pada seorang pakar, Desain hasil dari Elisitasi oleh seorang pakar, Development mengimplementasikan sistem yang telah direncanakan pada tahap sebelumnya tahap analisis dan desain, Implementasi pengujian sistemmengunakan  black box, Evaluasi meminimalisir kesalahan sistem. Metode "Certainty factor" dari kecerdasan buatan digunakan untuk menghitung tingkat keyakinan diagnosa berdasarkan gejala. Sistem pakar sangat penting bagi industri ayam pedaging dalam memanfaatkan sistem untuk pencegahan penyakit ayam pedaging serta mengatahui ayam sakit dan ayam sehat dan dapat mengurangi jumlah kematian industri ayam. Hasil dari  Penelitan di penghitungan manual yang diberikan nilai oleh seorang pakar  agar dapat dibadingan dengan sistem terdiri dari 10 sempel untuk melakukan nilai akurasi perhitungan pakar dan sistem hasil yang di dapat pada 10 sempel pengujian dengan pakar, 8 diantaranya sesui yang di berikan nilai CF oleh pakar sementara 2 tidak sesui dengan nilai CF oleh pakar menghasilkan nilai akurasi 80 % yang dianggap memadai oleh pakar.
Algoritma Regresi Linier Dalam Prediksi Jumlah Pendaftar Program Pendidikan Di Lingkungan Pesantren : Studi Kasus : Yayasan Al-Mustofa Tambakbaya Agustin, Yoga Handoko; Satria, Eri; Nasrulloh, Anas
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.1802

Abstract

Al-Mustofa Tambakbaya Foundation manages an Islamic boarding school as well as a Madrasah Aliyah (MA) and Madrasah Tsanawiyah (MTS). Over the past five years, the foundation has experienced fluctuations in the number of new students. This study aims to predict the number of applicants using a linear regression algorithm. The challenge of fluctuating enrollment affects resource planning and curriculum development. The data used includes the number of MA and MTS students from the 2019 to 2023 academic years. This research follows the CRISP-DM stages, starting from business understanding, data collection and preparation, to modeling using linear regression. Model evaluation is done with MAPE, MAE, RMSE, and R-squared. The results show that the model for Regional Domicile and Outside the Region has a MAPE of 8.44% and 12.76%, respectively. The model for MTS students has a MAPE of 6.26% and an R-squared of 91.27%, while the MA student model shows the lowest performance with a MAPE of 20.56% and an R-squared of 21.20%. Predictions for the 2024 academic year show significant growth, especially in regional domicile and MA students. This research offers a practical solution to address fluctuations in enrollment and educational planning at Al-Mustofa Tambakbaya Foundation, as well as highlighting the need for model improvements to increase accuracy in the future.
Prediksi Jumlah Pengunjung Pariwisata di Kabupaten Garut Menggunakan Algoritma Regresi Linear Agustin, Yoga Handoko; Satria, Eri; Siti Nursifa, Fadia
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.1807

Abstract

Tourism has great potential in driving economic growth through job creation, income enhancement, and positive impacts on various related sectors such as handicrafts, accommodation, and transportation. Garut Regency, located in the southern part of West Java Province, is increasingly recognized for its natural tourist destinations that remain unspoiled and attract many visitors. However, the surge in visitor numbers at these destinations has posed several challenges, including overcrowding that reduces comfort and safety, as well as a decline in service quality due to high demand. Inadequate infrastructure, such as transportation and parking facilities, is also an issue that needs to be addressed. To assist the local government in preparing for future increases in visitor numbers, this study utilizes the Linear Regression algorithm to predict the number of tourist visits to Garut Regency. This algorithm is chosen for its ability to measure the relationship between the dependent variable (number of visitors) and independent variables (factors influencing visits). Data collection is carried out by grouping the number of visitors based on tourist categories, resulting in more accurate and relevant prediction models. The research findings show that the linear regression model can generate predictions with a Mean Absolute Error (MAE) of 11,406.37, Mean Absolute Percentage Error (MAPE) of 6.449, Mean Squared Error (MSE) of 282,815,506.30, and Root Mean Squared Error (RMSE) of 16,817.12. The R-squared (R²) value of 0.9346 indicates that the model can explain approximately 93.46% of the data variance, demonstrating good predictive performance. However, the relatively high MAPE value indicates inconsistencies in the dataset, likely caused by very small or zero actual values. This prediction is expected to assist the Garut Regency Tourism Office in strategic planning and decision-making, such as infrastructure preparation, service quality improvement, and tourism promotion planning. This study also opens up opportunities for further development using other prediction algorithms to achieve more optimal results.
Pemenuhan Kebutuhan Komunitas Maya Dan Pandu Digital Kepada Perangkat Desa di Desa Sindangpalay Hidayat, Miftahul; Multajam, Sri Intan; Adha, Sherly Nabila; Andyarini, Ervina Dwi; Farhan, Muhammad; Aulia, Husni; Sidiq, Repi Fahmi; Nisa, Ziadatun Khoirun; Firmanto, Alam; Afifah, Via Nur; Agustin, Yoga Handoko
Jurnal PkM MIFTEK Vol 3 No 1 (2022): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.3-1.1293

Abstract

Real Work Lecture (KKN) is a form of community service activity by students with an cross-scientific and sectoral approach at a certain time and area. The implementation of KKN activities usually lasts between one to two months and takes place in village-level areas. And the purpose of KKN is so that students can develop ideas based on technology and in an effort to grow, accelerate and prepare development cadres, students gain valuable learning experience through involvement in the community which directly discovers, formulates, solves and tackles development problems in a practical and interdisciplinary, to add insight. Students motivate the community in building villages, to provide experience to students about ways of being in society. The existence of Real Work Lectures has a target so that students can become a ready-to-use generation and at the same time potential successors to development, especially in rural areas, both in the present and in the future. And this report aims to show the results of the KKN activities during the Covid-19 pandemic which we carried out in about a month. Webinars for Virtual Communities. This report also contains information about Sindangpalay Village, where we carried out KKN activities.
IMPLEMENTATION OF BAYES THEOREM ALGORITHM FOR WEB-BASED EXPERT SYSTEMS FOR DIAGNOSIS OF HUMAN SKIN DISEASES Agustin, Yoga Handoko; Fitri Nuraeni; Anisa Devisa Putri
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1363

Abstract

The skin is an important organ in the human body which has various roles, such as functioning as a sense of touch, as a means of excretion through sweat glands, regulating body temperature, and as a place to store fat. If the care is not good, the skin can become infected, which is caused by the proliferation of bacteria, germs and viruses in the skin tissue. However, ironically, people often underestimate skin diseases because they are considered less dangerous and do not lead to death. In Garut Regency there is the Tarogong Community Health Center which is a community health center that provides health services, one of which is skin disease examination for the people of Garut. This health center has a practicing doctor, but the doctor is a general practitioner. So to provide services to people who experience skin diseases, they need help from experts. Based on these problems, this research is entitled Implementation of the Bayes Theorem Algorithm in a Web-Based Human Skin Disease Diagnosis Expert System. The Bayes theorem algorithm can determine a possibility that will occur in the future with information from the past and can later reach precise and accurate decisions and information. The methodology used in this research is the Expert System Development Life Cycle (ESDLC) which is a methodology for building or developing an expert system that is structured and directed in its work. The results of this research are in the form of an expert system application that can diagnose 14 types of skin diseases based on 26 symptoms that are often felt by the public and it was found that the results of the system diagnosis and expert diagnosis were 83.3% in agreement with 30 tests carried out with 25 appropriate data and 5 data. it is not in accordance with.
The Rancang Bangun Alat Pendeteksi Hiperkolestrolemia Berbasis Mikrokontroler Arduino Uno Rohpandi, Dani; Handoko Agustin, Yoga; Dewi Sri Mulyani, Evi; Pratama, Fajri
Informatics and Digital Expert (INDEX) Vol. 6 No. 1 (2024): INDEX, Mei 2024
Publisher : LPPM Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/index.v6i1.1746

Abstract

Hiperkolesterolemia atau dengan kata lain adalah kadar kolesterol yang tinggi akan menimbulkan gangguan kesehatan, jika tidak segera ditangani akan semakin memperburuk kondisi dari penderitannya. Kolesterol sendiri tidak bisa dihilangkan karena merupakan zat penting yang dibutuhkan tubuh. Yang bisa dilakukan adalah mengkontrol agar kadar kolesterol dalam darah tidak melebihi batas normal. Saat ini cara yang dilakukan untuk mengetahui kadar kolesterol adalah dengan invasive yaitu dengan datang ke Rumah Sakit atau menggunakan alat pengukur kolesterol elektronik, cara tersebut dirasa kurang praktis untuk mengetahui kadar kolesterol karena membutuhkan waktu. Oleh sebab itu dengan dibuatnya alat pendeteksi kolesterol non invasive berbasis mikrokontroler Arduino Uno menggunakan sensor inframerah serta photodioda TCRT 5000 dan dihubungkan dengan aplikasi khusus untuk penginputan datanya yang akan dimasukan ke dalam database dapat berfungsi secara optimal, sehingga pengguna atau tenaga medis dapat melakukan langkah pengobatan atau penanganan kolesterol dengan tepat dan efektif. Tingkat akurasi yang dihasilkan oleh alat ini dibandingkan dengan alat kesehatan komersial yaitu sebesar 93.04%, hal ini tentu saja bergantung pada kualitas komponen terutama perangkat sensor yang digunakan.
Pemetaan Toko Komputer Berbasis Web di Kabupaten Garut Fitriani, Leni; Agustin, Yoga Handoko; Fauzi, Bayu Muhammad
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1304

Abstract

A computer shop is a place that sells equipment related to computers. As technology advances, people's needs for computer shop locations are also increasing. Computer shops themselves not only sell various computer needs such as hard disks, Random Access Memory, and accessories such as mice and keyboards, some computer shops also sell products in the form of services such as computer servicing, computer assembly, installing software, and buying and selling used computers. Currently, information about computer shops only consists of explanations about the shop and mapping of computer shop location points, there is no information based on completeness categories in the form of product services, computer accessories, computer buying and selling. This means that the public or potential consumers do not know much about the location and search for computer shops in the city of Garut. Because the level of public need for the availability of goods and services will be very necessary, an application system is needed that can help increase store sales and the needs of the public as consumers. The aim of this research is the design and development of web-based computer shop mapping in Garut Regency. The methodology used to design this application is Rational Unified Process (RUP) with several stages of inception, elaboration, construction, and using Unified Modeling Language (UML) modeling. The results of this research are a geographic information system mapping computer shops to help make it easier for users or potential consumers to choose a complete computer shop and recommended computer shop.
Penerapan Metode Forward Chaining Untuk Mendeteksi Kerusakan pada Smartphone Yoga Handoko Agustin; Muhammad Rikza Nashrulloh
Jurnal Kewarganegaraan Vol 6 No 2 (2022): Desember 2022
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v6i2.1705

Abstract

Abstrak Smartphone merupakan telepon pintar yang memiliki kemampuan seperti komputer. Seiring berkembangnya teknologi saat ini smartphone tidak hanya memiliki fungsi untuk menelepon dan mengirim pesan. Penggunaan smartphone yang terlalu sering menjadi salah satu faktor pemicu kerusakan yang ditimbulkan, seperti terkena air, terjatuh atau kesalahan perawatan dalam pemakaian sehari-hari. Alat bantu berupa sistem pakar reparasi smartphone diperlukan dalam memberikan deteksi kerusakan smartphone sehingga pengguna tidak harus langsung membawa smartphone-nya ke tempat reparasi smartphone. Forward Chaining digunakan sebagai model penalaran yang digunakan untuk mendeteksi kerusakan dimulai dari gejala-gejala yang nantinya dapat disimpulkan jenis kerusakannya. Metode Expert System Development Life Cycle (ESDLC) dengan tahapan Assesment, Knowledge Acquisition, Design, Testing, Documentation dan Maintenance. Hasil dari penelitian ini yaitu Sistem pakar ini sudah mampu memberikan informasi kerusakan pada smartphone, menampilkan form konsultasi dan menampilkan hasil konsultasi sesuai dengan kaidah produksi selain itu juga sistem pakar ini dapat membantu para pengguna smartphone dalam mengetahui langkah awal dan jenis kerusakan. Kata Kunci : Jurusan, Sistem Pakar, ESDLC, Forward Chaining. Abstract Smartphone is a smart phone that has capabilities like a computer. As technology develops, smartphones do not only have functions for calling and sending messages. The use of smartphones that are too frequent is one of the factors that trigger the damage caused, such as being exposed to water, falling or maintenance errors in daily use. A tool in the form of a smartphone repair expert system is needed in providing detection of smartphone damage so that users do not have to immediately bring their smartphone to a smartphone repair place. Forward Chaining is used as a reasoning model that is used to detect damage starting from the symptoms which can later be concluded the type of damage. Expert System Development Life Cycle (ESDLC) method with the stages of Assessment, Knowledge Acquisition, Design, Testing, Documentation and Maintenance. The results of this study are that this expert system has been able to provide information on damage to smartphones, display a consultation form and display the results of consultations in accordance with production rules, besides that this expert system can help smartphone users in knowing the initial steps and types of damage. Keywords: Smartphone, Expert System, ESDLC, Forward Chaining.
Penerapan Algoritma K-Means Untuk Pengelompokan Kepadatan Penduduk Berdasarkan Kecamatan di Kabupaten Garut Agustin, Yoga Handoko; Nur Faisal, Ridwan
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.1909

Abstract

Indonesia faces challenges of uneven population distribution, including in Garut Regency, which has a population of 2,585,607 people. This disparity leads to overcrowding issues in several areas. This study aims to cluster population density based on districts using the K-Means algorithm and the CRISP-DM (Cross-Industry Standard Process for Data Mining) approach. CRISP-DM consists of six main stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment, which are systematically applied in this research. The data used was obtained from the Central Bureau of Statistics of Garut Regency in 2023, covering population numbers and the area of each district. At the modeling stage, the K-Means algorithm is applied to group districts based on population density similarity. The optimization of the number of clusters was carried out using the elbow method, resulting in the optimal number of three clusters (k=3). Evaluation using the Davies-Bouldin Index (DBI) yielded a value of 0.5794, indicating that the clusters formed have good separation. The clustering results show that cluster 0 includes districts with high density, cluster 1 with medium density, and cluster 2 with low density. The results of this study have the potential to be implemented in regional development planning, assisting the Central Bureau of Statistics (BPS) of Garut Regency and related agencies in formulating policies for equitable development, public service distribution, and more effective infrastructure planning. With population density mapping based on data mining, policies can be more evidence-based, enabling better decision-making in addressing demographic issues in Garut Regency.
Prediksi IHSG Dengan Algoritma Autoregressive Integrated Moving Avarage (ARIMA) Ibrahim, Roby; Agustin, Yoga Handoko
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.1963

Abstract

Capital market development is one of the main indicators of a country's economy. Therefore, the ability to predict the movement of the Composite Stock Price Index (JCI) is very important for investors and capital market players. The purpose of this research is to develop a JCI model using the Autoregressive Integrated Moving Average (ARIMA) algorithm with the support of RapidMiner software. Simulation test results show that the ARIMA model can be a useful tool for investors and market researchers to make more meaningful decisions. The research methodology used is CRISP-DM (Cross-Industry Standard Process for Data Mining) which includes the following steps: First, collecting historical JCI data from the relevant period. Second, analyze the time series to understand the characteristics of JCI. Third, applying the ARIMA model with parameters (p;2, d;1 q;2) with MSE 2461.572, using statistical analysis methods and evaluating model performance. Fourth, run the ARIMA model on Colabolatory software to predict JCI activity. Fifth, evaluate model performance using metrics. The results of this study have successfully created the best ARIMA model implemented with Colabolatory and can provide accurate information. This research produces a prediction model with evaluation metrics of RMSE 1.43 and MAE 1.13.
Co-Authors Ade Sutedi Adha, Sherly Nabila Afifah, Via Nur Andi Fikri Nugraha Andi Sanjaya Andyarini, Ervina Dwi Anggi Rihadisha Anisa Devisa Putri Arbi Yuan Aspahany Asep Sugiharto Asgara, Zidan Asri Mulyani Aulia, Husni Ayu Latifah B. Balilo Jr , Benedicto Baswardono, Wiyoga Cahya Setia Ningrum, Asni Cici Mulyani, Neng Dani Rohpandi Dede Kurniadi Dendi Ramdani Deni Heryanto Ditdit Putuwenda Egi Badar Sambani, Egi Badar Eni Suryeni, Eni Eri Satria Evi Dewi Sri Mulyani Fahmi Fadlillah Falah Insan Pratama Fauzi, Bayu Muhammad Firmanto, Alam Fitri Nuraeni Hari Ilham Nur Akbar HELFY SUSLAWATI Ibrahim, Roby Ida Farida Imas Dewi Ariyanti Indri Tri Julianto Intan Hartanti Rahman Ningsih Iwan Setiawan Jungjunan, Aditya Rahma Kusrini, Kusrini Kustiana, Ruli M Leni Fitriani Leni Fitriani, Leni Luthfi, Emha Taufiq Marlina, Rina Miftahul Hidayat, Miftahul Mohamad Fikri Haekal Muhammad Farhan Muhammad Ramdan Rahmatillah Muhammad Rikza Nashrulloh Multajam, Sri Intan Nabil Nur Afrizal Nasrulloh, Anas Nensi Mardhiani Surgawi Nisa, Ziadatun Khoirun Nugraha, Insan Satia Nur Faisal, Ridwan Nur'aeni, Irma Oktapiani, Vini Pratama, Fajri Rahayu, Raden Erwin Gunadi Raisman Raisman Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Rika Lestari Shinta Siti Sundari Sidiq, Repi Fahmi Sindu Prasetya, Wahyu Siti Nursifa, Fadia Sopandi, Pendi Sri Fitrya Kamellia Sri Rahayu Sri Sulastri Srihermaning, Nova _ Susanto Susanto Wahyu Sindu Prasetya Wildan Nugraha Wiyoga Baswardono Yosep Septiana Yuli Nurfitria, Yuli Yusuf Abdul Fatah