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All Journal Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal AME (Aplikasi Mekanika dan Energi): Jurnal Ilmiah Teknik Mesin JURTEKSI Abdi Dosen : Jurnal Pengabdian Pada Masyarakat ASEAN Journal of Chemical Engineering International Journal of Advances in Data and Information Systems Bulletin of Computer Science and Electrical Engineering (BCSEE) eProceedings of Engineering Sultra Journal of Mechanical Engineering (SJME) Warta LPM AME (Aplikasi Mekanika dan Energi) : Jurnal Ilmiah Teknik Mesin Journal of Applied Science and Advanced Engineering Jurnal Penelitian dan Pengabdian Masyarakat Almikanika Sultra Journal of Mechanical Engineering Jurnal Rekayasan Lingkungan dan Biosistem

Sutoyo, Edi

Universitas Telkom

Author-ID : 2458235

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Television Advertisement Performance Rating Menggunakan Artificial Neural Network Sutoyo, Edi; Fadlurrahman, M Asri
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 6, No 3 (2020): Volume 6 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v6i3.42896

Dalam data nyata, ada banyak situasi di mana jumlah instance di satu class jauh lebih sedikit daripada jumlah instance di class lain. Keadaan ini disebut sebagai masalah dataset tidak seimbang (imbalance class). Imbasnya kinerja klasifikasi biasanya menurun di beberapa aplikasi data mining. Pada penelitian ini, diidentifkasi bahwa dataset performansi rating iklan TV yang digunakan memiliki permasalahan imbalance class yang sangat besar dimana instance yang memiliki nilai rating tinggi, jauh lebih sedikit dibandingkan instance yang memiliki nilai rating kecil dan menengah. Sehingga diperlukan metode over-sampling untuk mengatasi permasalahan imbalance class tersebut. Metode yang dapat digunakan adalah Synthetic Minority Over-sampling Technique (SMOTE). Untuk memvalidasi keefektifan model yang diusulkan, dilakukan dua skenario eksperimental yaitu: pertama algoritma ANN langsung digunakan untuk pemodelan tanpa mempertimbangkan ketidakseimbangan kelas, dan kedua dilakukan over-sampling SMOTE untuk meningkatkan jumlah dataset agar mencapai dataset yang seimbang. Hasil eksperimen menunjukkan bahwa performansi ANN+SMOTE mencapai akurasi sebesar 87.06% dibandingkan ANN yang hanya sebesar 86.35%. Penerapan Teknik SMOTE terbukti dapat mengatasi masalah ketidakseimbangan data dan mendapatkan hasil klasifikasi yang lebih baik.

A Soft Set-based Co-occurrence for Clustering Web User Transactions Edi Sutoyo; Iwan Tri Riyadi Yanto; Rd Rohmat Saedudin; Tutut Herawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.6382

Grouping web transactions into some clusters are essential to gain a better understanding the behavior of the users, which e-commerce companies widely use this grouping process. Therefore, clustering web transaction is important even though it is challenging data mining issue. The problems arise because there is uncertainty when forming clusters. Clustering web user transaction has used the rough set theory for managing uncertainty in the clustering process. However, it suffers from high computational complexity and low cluster purity. In this study, we propose a soft set-based co-occurrence for clustering web user transactions. Unlike rough set approach that uses similarity approach, the novelty of this approach uses a co-occurrence approach of soft set theory. We compare the proposed approach and rough set approaches regarding computational complexity and cluster purity. The result demonstrates better performance and is more effective so that lower computational complexity is achieved with the improvement more than 100% and cluster purity is higher as compared to two previous rough set-based approaches.

Twitter sentiment analysis of the relocation of Indonesia's capital city Edi Sutoyo; Ahmad Almaarif
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Indonesia has a capital city which is one of the many big cities in the world called Jakarta. Jakarta's role in the dynamics that occur in Indonesia is very central because it functions as a political and government center, and is a business and economic center that drives the economy. Recently the discourse of the government to relocate the capital city has invited various reactions from the community. Therefore, in this study, sentiment analysis of the relocation of the capital city was carried out. The analysis was performed by doing a classification to describe the public sentiment sourced from twitter data, the data is classified into 2 classes, namely positive and negative sentiments. The algorithms used in this study include Naïve Bayes classifier, logistic regression, support vector machine, and K-nearest neighbor. The results of the performance evaluation algorithm showed that support vector machine outperformed as compared to 3 algorithms with the results of Accuracy, Precision, Recall, and F-measure are 97.72%, 96.01%, 99.18%, and 97.57%, respectively. Sentiment analysis of the discourse of relocation of the capital city is expected to provide an overview to the government of public opinion from the point of view of data coming from social media.

PEMBERDAYAAN PRODUKTIVITAS KERJA PEMUDA MELALUI MENTORING KEWIRAUSAHAAN DI RW 09 DESA SUKAMANTRI KECAMATAN TAMANSARI KABUPATEN BOGOR Edi Sutoyo; Susila Wahyu; Nafis Qurrotul Aini
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 1 No. 1 (2017): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (575.087 KB)

Disadari atau tidak, sejatinya pemuda sangat memiliki peran dan fungsi yang penting dalam membangun kemajuan bangsa dan negara. Baik buruknya suatu negara dapat dilihat dari kualitas pemudanya, karena merekalah penerus dan pewaris nilai-nilai luhur budaya bangsa dan negara. Pembentukan dan pembangunan kualitas pemuda perlu diupayakan oleh berbagai pihak, baik Pemerintah melalui LPM, orang tua, para pendidik maupun masyarakat secara umum. Pemuda yang telah memiliki potensi tersebut perlu diberdayakan seoptimal mungkin ke arah lebih baik dan berkemajuan dalam rangka pembangunan bangsa dan negara. Pemberdayaan pemuda di Kampung Kebon Dukuh RW 09 Desa Sukamantri Kecamatan Tamansari menjadi perhatian khusus mengingat Desa ini akan menjadi Desa percontohan di masa mendatang bagi Desa-desa lain di Kecamatan Tamansari Kabupaten Bogor. Pembangunan dan pengembangan Sumber Daya Manusia (SDM) khususnya para pemuda merupakan salah satu kegiatan yang bertujuan untuk meningkatkan pengetahuan (knowledge), kemampuan (ability), dan keterampilan (skill) sesuai dengan tuntutan pekerjaan yang dibutuhkan. Pemberdayaan pemuda melalui pendampingan dan mentoring bisnis dirasa perlu mengingat perekonomian dan kesejahteraan penduduk yang belum merata. Dengan kegiatan tersebut, pemuda bisa mengasah sifat kepemimpinan (leadership) mereka, mental berwirausaha, kepekaan sosial dan kemandirian dengan belajar membuat usaha/bisnis sendiri yang nantinya akan bermanfaat bagi masyarakat.

PEMANFAATAN MCK SEBAGAI SALAH SATU UPAYA PENINGKATAN PERILAKU HIDUP BERSIH DAN SEHAT (PHBS) WARGA RT 04/01 DESA SADENG Edi Sutoyo; Sigit Dwi Pramono; Sulha .; Khoiriah Widia Pawesti
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 3 No. 3 (2019): SEPTEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.169 KB)

Pembangunan prasarana sanitasi di kampung sadeng dimaksudkan untuk memenuhikebutuhan masyarakat yang belum mendapatkan akses MCK yang layak. Kurang memadainya prasarana lingkungan pada suatu kawasan atau lingkungan hunian dapatmenimbulkan permasalahan seperti buruknya kualitas lingkungan permukiman di daerahtersebut, karena pada dasarnya keberadaan prasarana lingkungan merupakan kebutuhan yangpaling penting yang secara langsung maupun tidak langsung berimplikasi/berpengaruhterhadap kesehatan dan kesejahteraan manusia. Hasil penelitian ini adalah: Pertama,masyarakat di desa Sadeng dalam melakukan aktivitas MCK sudah terbiasa, bahkan telahmenjadi budaya keseharian masyarakat. Mayoritas dari masyarakat di kampung ini tidakmemiliki sarana MCK yang memadai, faktor ekonomi dan sosial-budaya sangat berperanpenting dalam membentuk pola prilaku tersebut. Tradisi ini sudah membudaya bagimasyarakat setempat. Kedua, dampak dari pemanfaatan tampat pemandian umum (kobak)sebagai sarana dalam melakukan aktivitas MCK sangat berpotensi untuk menyebabkanberbagai penyakit kulit seperti panu, kudis, gatal-gatal dan kutu air. Melalui penelitian inipenulis berharap pemerintah lebih memperhatikan sarana dan prasarana dalam mendukungpola hidup sehat serta perlu adanya usaha-usaha dari Dinas Kesehatan yang bekerjasamadengan instansi terkait untuk mengadakan penyuluhan terhadap pentingnya pola hidup bersih,sehat, dan nyaman, dengan tetap mempertimbangkan kondisi dan kemampuan masyarakatyang ada, sehingga masyarakat yang ada di kampung sadeng dapat memiliki kualitas hidupyang jauh lebih sehat

UPAYA PENINGKATAN PEMAHAMAN PERILAKU HIDUP BERSIH DAN SEHAT (PHBS) TERKAIT PENGELOLAAN SAMPAH DI LINGKUNGAN MASYARAKAT DESA LEUWISADENG Edi Sutoyo; Ani Safitri; Silo Mardadi
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 1 (2020): MARET
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (884.513 KB)

PHBS adalah upaya untuk memberikan pengalaman belajar atau menciptakan suatu kondisi bagi perorangan, keluarga, kelompok dan masyarakat, dengan membuka jalan komunikasi, memberikan informasi dan melakukan edukasi, untuk meningkatkan pengetahuan, sikap, dan perilaku, melalui pendekatan pimpinan (advokasi), bina suasana (social support) dan pemberdayaan masyarakat (empowerment) sehingga dapat menerapkan cara-cara hidup sehat dalam rangka menjaga, memelihara dan meningkatkan kesehatan masyarakat khususnya di Desa Leuwisadeng RT 06 dan RW 03. Dalam penelitian ini metode pendekatan yang digunakan adalah dengan pendekatan secara langsung yakni dengan mengunjungi rumah warga satu persatu kemudian membagikan kuisioner dengan teknik Simple Random Sampling. Tujuan pembagian kuisioner tersebut untuk mengetahui intelektual serta perilaku dari masyarakat tentang pengelolan sampah yang baik dan benar. Hasil dari penelitian ini adalah tingkat pengetahuan masyarakat desa Leuwisadeng terkait permasalahan sampah tergolong masih standar atau terhitung sebanyak 54% terpenuhi, 80% jawaban mengatakan mengetahui jenis sampah. dan dalam pernyataan selanjutnya yang menguji pengetahuan responden terkait jenis sampah organik dan non organik, terbilang baru sekitar 45% yang mengetahui perbedaan jenis sampah tersebut. Bila ditinjau dari kedua pernyataan diatas, hal ini menunjukkan bahwa tingkat pengetahuan masyarakat terkait jenis sampah masih tergolong berada di tingkat paling dasar.

Application of K-Means Clustering Algorithm for Determination of Fire-Prone Areas Utilizing Hotspots in West Kalimantan Province Nabila Amalia Khairani; Edi Sutoyo
International Journal of Advances in Data and Information Systems Vol. 1 No. 1 (2020): April 2020 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v1i1.13

Forest and land fires are disasters that often occur in Indonesia. In 2007, 2012 and 2015 forest fires that occurred in Sumatra and Kalimantan attracted global attention because they brought smog pollution to neighboring countries. One of the regions that has the highest fire hotspots is West Kalimantan Province. Forest and land fires have an impact on health, especially on the communities around the scene, as well as on the economic and social aspects. This must be overcome, one of them is by knowing the location of the area of ??fire and can analyze the causes of forest and land fires. With the impact caused by forest and land fires, the purpose of this study is to apply the clustering method using the k-means algorithm to be able to determine the hotspot prone areas in West Kalimantan Province. And evaluate the results of the cluster that has been obtained from the clustering method using the k-means algorithm. Data mining is a suitable method to be able to find out information on hotspot areas. The data mining method used is clustering because this method can process hotspot data into information that can inform areas prone to hotspots. This clustering uses k-means algorithm which is grouping data based on similar characteristics. The hotspots data obtained are grouped into 3 clusters with the results obtained for cluster 0 as many as 284 hotspots including hazardous areas, 215 hotspots including non-prone areas and 129 points that belong to very vulnerable areas. Then the clustering results were evaluated using the Davies-Bouldin Index (DBI) method with a value of 3.112 which indicates that the clustering results of 3 clusters were not optimal.

Educational Data Mining untuk Prediksi Kelulusan Mahasiswa Menggunakan Algoritme Naïve Bayes Classifier Edi Sutoyo; Ahmad Almaarif
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The quality of students can be seen from the academic achievements, which are evidence of the efforts made by students. Student academic achievement is evaluated at the end of each semester to determine the learning outcomes that have been achieved. If a student cannot meet certain academic criteria that are stated by fulfilling the requirements to continue his studies, the student may have the potential to not graduate on time or even Drop Out (DO). The high number of students who do not graduate on time or DO in higher education institutions can be minimized by detecting students who are at risk in the early stages of education and is supported by making policies that can direct students to complete their education. Also, if the time for completion of student studies can be predicted then the handling of students will be more effective. One technique for making predictions that can be used is data mining techniques. Therefore, in this study, the Naive Bayes Classifier (NBC) algorithm will be used to predict student graduation at Telkom University. The dataset was obtained from the Information Systems Directorate (SISFO), Telkom University which contained 4000 instance data. The results of this study prove that NBC was successfully implemented to predict student graduation. Prediction of the graduation of these students is able to produce an accuracy of 73,725%, precision 0.742, recall 0.736 and F-measure of 0.735.

Analysis of Citizens Acceptance for e-Government Services in Bandung, Indonesia: The Use of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model Kahfi Ahadian Mutaqin; Edi Sutoyo
Bulletin of Computer Science and Electrical Engineering Vol. 1 No. 1 (2020): June 2020 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

At present, the use of ICT is growing very rapidly. This has led to changes in processes, functions, and policies in various sectors, including the public service sector managed by the government. e-Government is a new mechanism between the government and the community and stakeholders, which involves the implementation of information technology, and aims to improve the quality (quality) of public services. Bandung City is one of the cities that is very intensive in developing the use of ICT in implementing e-Government. The focus of the city government of Bandung is the Government to Citizen (G2C) application model. The application that is still lacking in use is the e-punten application. One important factor for the success of e-Government services is the acceptance and willingness of people to use e-Government services. E-punten application services provided by the Bandung city government will not run perfectly if no people are using it. To assess what factors influence the use of e-punten applications in the city of Bandung, the UTAUT model is used. To analyze the factors that influence the acceptance of e-punten applications SEM analysis is used. In this study, the PLS-SEM approach is used to solve multiple regression when specific problems occur in the data, such as the small sample size of the study. The PLS evaluation is carried out by evaluating the measurement model and the structural model that best suits the UTAUT model. Factors that influence the use of e-punten applications are effort expectancy for behavioral intention, facilitating conditions for use behavior, and behavioral intention for use behavior. The factors that have the most influence are performance expectancy and effort expectancy.

WeCare Project: Development of Web-based Platform for Online Psychological Consultation using Scrum Framework Frisca Febriyani Kurniawan; Fauzan Radifan Shidiq; Edi Sutoyo
Bulletin of Computer Science and Electrical Engineering Vol. 1 No. 1 (2020): June 2020 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Symptoms and signs of mental disorders depend on the type of disorder experienced. Patients can experience interference with emotions, thought patterns, and behavior. Ways to determine the diagnosis and check whether you have a mental illness, there are several ways in the form of physical examination through a doctor, laboratory tests, psychological evaluation. There is also therapy as a healing process and recovery of the soul that is healthy. In Indonesia, many people experience mental health problems, but most are not aware of and care about these problems. Even in the worst cases, many cases lead to suicide. One factor that triggers suicide is, people who experience mental health problems do not have a place to talk about the problems they are facing, because in each city itself not all the availability of psychologist services that can help sufferers of mental health problems, let alone remember the price of psychologist services offered is quite expensive. Therefore, by taking into account these considerations, the WeCare project proposes developing a web-based platform for online psychologist consultation. In general, this platform has three main actors namely, admin, user, and psychologist. This platform is expected to be a media liaison between users (patients) with psychologists in conducting consultations.

Co-Authors A. Rahmat Rosyadi Adinda Inez Sang Ahmad Ainul Yakin Ahmad Setiawan Ali Khoirul Hidayat Anggie Randy Pramuditha ANI SAFITRI Arifah Batubara, Qurratul Ain Aris Haryanto Armansyah Halomoan Tambunan Asep Rizki Aulia Putri, Meilani Barkah Akbar Budi Hartono Budi Hartono Chika Enggar Puspita Darmawan, Dwiki Dimas Samodra Bimaputra Dodih Dwi Yuliaji Edy Hartulistiyoso Fadil Mochamad Ramdan Fadlurrahman, M Asri Fakhrurroja, Hanif Fauzan Radifan Shidiq Fauzy, Restu Firmansyah, Yusup Fitriani Fitriani Fitriani Fitriyah, Atiqotun Frisca Febriyani Kurniawan Gigih Bayu Setyawan Gilang Erlangga Hablinur Al-Kindi Hablinur Alkindi Hafiza, Sifha Hasan Santosa Hasibuan, Musta'anul Husaini Hidayat, Ali Husaini Hasibuan, Musta'anul Iqbal Santosa Irfan Darmawan Iwan Tri Riyadi Yanto Kahfi Ahadian Mutaqin Khoiriah Widia Pawesti MAMAT RAHMAT Mamat Rahmat Mamat Rahmat Michael Yudhea Saragih Muhammad Iqbal Furqonul Hakim Muhammad Nanang Prayudyanto Muhammad Ridwan Nabila Amalia Khairani Nafis Qurrotul Aini Nurhayati, Immas Nuruddin Nashrullah Oktariani Nurul Pratiwi Oktoriansyah, Rinaldi Panji Romadon, Joe Pariatiara, Dicky Nur Pramono, Gatot Eka Pramono, Gatot Eka Prayuda, Ilham Vega Rachmadita Andreswari Rahmat Fauzi Rd. Rohmat Saedudin Revo Faris Saifuddin Roy Waluyo Rusydi Rusydi Ryan Darmawan Salundik Setya Permana Sutisna Setya Permana Sutisna Sigit Dwi Pramono Silo Mardadi Suganda, Cecep Sulha . SUMADI SUMADI Sunarya, Derivan Susila Wahyu Sutisna, Setya Syamsurizal, Adi Syed Humayon Shah Tegar, Muhammad Tika Hafzara Siregar Tika Hafzara Siregar Tika Hafzara Siregar Titing Suharti Turmudi Tutut Herawan Yoga Hermawan Yusuf Sopian Zaki, Abdul Zamil Anugrah

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