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Classifying student academic performance: C4.5 and SVM Methods in ITTP's Computer Engineering Program Edelin Gultom; Yohani Setiya Rafika Nur; Rima Dias Ramadhani
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4686

Abstract

The decline in the number of graduates from the Computer Engineering Program, based on the graduation percentages of the 2017 and 2018 cohorts, coupled with the imbalance between on-time and delayed graduates, poses various challenges. These challenges include suboptimal program accreditation and an excessive number of active students. This research aims to develop a classification model for student performance categorization into On-Time Graduation (LTW) and Delayed Graduation (LTTW) classes using SVM and C4.5 algorithms. The C4.5 algorithm will handle attribute selection, while SVM will be responsible for building the prediction model. The classification results will be visualized on a website using the Flask framework, allowing users to input relevant data. The classification accuracy on the test set, reaching 77.74%, indicates the model's precision in predicting student performance categories
Pemilihan Guru Berprestasi Menggunakan Metode Weighted Aggregated Sum Product Assessment Yohani Setiya Rafika Nur; Yuan Sa'adati; Nurhaeka Tou
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 9 No 1 (2022): Jurnal Ecotipe, April 2022
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v9i1.2823

Abstract

SDN 003 Loa Janan Ulu merupakan sekolah dasar di Kabupaten Kutai Kartanegara, Provinsi Kalimantan Timur. Pada tiap akhir tahun ajarannya, kepala sekolah SDN 003 selama ini melakukan pemilihan guru berprestasi. Proses pemilihan masih dilakukan secara manual untuk menentukan guru berprestasi terbaik di antara guru-guru berprestasi lainnya. Namun, pemilihan dengan metode tersebut dirasa kurang efektif karena masih secara manual dan juga dipengaruhi oleh faktor diluar dari ketentuan kriteria sehingga menimbulkan konflik dan hasil keputusan tidak sesuai dengan hasil keputusan yang sebenarnya. Kriteria yang digunakan seperti masa lama kerja, pendidikan terakhir, pangkat golongan, kompetensi dan kedisiplinan para guru. Pada penelitian bertujuan untuk mengkaji terkait metode pada Sistem Pendukung Keputusan (SPK) dengan menggunakan Weighted Aggregated Sum Product Assessment (WASPAS). Konsep dasar metode tersebut yakni melakukan proses perhitungan secara kompleks sesuai dengan kriteria yang telah ditetapkan untuk mendapatkan hasil perankingan. Hasil didapatkan bahwa penerapan metode WASPAS dapat memberikan kepala sekolah dalam menentukan salah satu guru berprestasi berdasarkan hasil ranking nilai tertinggi.
Rain Process Education as Interactive Multimedia in Early Childhood using the Multimedia Development Life Cycle (MDLC) Yohani Setiya Rafika Nur; Dasril Aldo; Annisaa Utami
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 1 (2023): Jurnal Ecotipe, April 2023
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i1.3852

Abstract

Learning media has a positive impact because it can be fun, increase students' interest in learning, and be interactive. The learning method in Early Childhood Education (PAUD) Ratnanigsih uses a Sentra approach and the environment by playing sambal learning to develop the intelligence of a potential child. The facts in PAUD Ratnaningsih found obstacles in the teaching and learning process. These obstacles occur due to the lack of visualization or media for teachers, and the absence of variations in learning can cause saturation in children. Users in this study are early childhood teachers in PAUD Ratnaningsih. Based on these problems, a learning press is needed for teacher and child relations educated at PAUD Ratnaningsih. The learning media design method in this study uses the Multimedia Development Life Cycle (MDLC) approach and learning media using Macromedia Flash 8. The results of this study are in the form of storyboard design, visualization of interface design, implementation of learning media, and testing with Blackbox Testing. Based on the conclusions of this study shows that all components and features of learning media function properly and can be used by teachers in the learning process "Universe" with the sub-theme "Rain".
Implementation of Additive Ratio Assessment Method in Decision Making on Fertilizer Supplier Selection at BBTPH Banyumas Dasril Aldo; Yohani Setiya Rafika Nur; Annisaa Utami
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 2 (2023): List of the Accepted Article for Future Issues
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i2.4375

Abstract

The purpose of this study is to solve problems in the selection of fertilizer suppliers at BBTPH Banyumas by proposing a decision support system (DSS). The quality of fertilizer supplier performance that is less than meeting standards can have a direct effect on crop yields, affect the level of efficiency, and decrease the quality of horticultural commodities. Therefore, this study aims to obtain decisions on the most feasible suppliers to be partners in supplying fertilizers. The method used in this study is the Additive Ratio Assessment (ARAS) method which is a method for alternative ranking based on specified criteria. The criteria used are in the form of criteria data, namely quality, price, service, delivery, product, and warranty. Fertilizer supplier data is obtained from BBTPH Banyumas and processed using the ARAS method. The stages carried out are identifying criteria, weighting, determining alternatives, evaluating alternatives, calculating the score of each alternative and choosing the suggested solution. The results showed that the best fertilizer supplier was supplier A with an ARAS value of 0.421. Supplier A has advantages in price, quality, and reputation criteria. This research can provide recommendations to BBTPH Banyumas in choosing fertilizer suppliers that suit their needs and preferences. The ARAS method is very useful in solving complex problems and involves many factors. By using this approach, the decisions taken become more objective and supported by clear data. Therefore, the ARAS method can be adopted by other organizations to address similar problems.
Expert System for Disease Identification in Palawija Plants with the Dempster Shafer Method Wanda Ilham; Sapta Eka Putra; Dasril Aldo; Yohani Setiya Rafika Nur; Annisaa Utami
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 2 (2023): List of the Accepted Article for Future Issues
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i2.4418

Abstract

Crops, including corn, are important agricultural commodities and contribute greatly to people's food needs. Diseases in crops are often the main factor that reduces crop production and quality. Maize plants are particularly susceptible to various pests and diseases, such as Leaf Blight, Leaf Spot, Rust, Stem Blight, Anthracnose, Root Rot, Cob Rot, Smut, Mosaic Virus, and Nematodes. Unfortunately, farmers often use pesticides or inappropriate control methods, resulting in suboptimal care and the emergence of new pests or diseases. This study aims to assist farmers in detecting early symptoms of pests and diseases in corn plants, so that control can be more precise and effective. In this study, 10 disease attack data were processed using the Dempster Shafer method. This method processes data based on symptoms seen in corn plants, allowing detection of types of pests and diseases and recommendations for handling them with an accuracy rate of about 80%. Therefore, the Dempster Shafer method is relevant for use in the identification of diseases in corn plants.
EXPERT SYSTEM WITH DEMPSTER-SHAFER METHOD FOR EARLY IDENTIFICATION OF DISEASES DUE TO COMPLICATIONS SYSTEMIC INFLAMMATORY RESPONSE SYNDROME Adanti Wido Paramadini; Dasril Aldo; M. Yoka Fathoni; Yohani Setiya Rafika Nur; Dading Qolbu Adi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.2021

Abstract

Systemic Inflammatory Response Syndrome (SIRS) is a generalized inflammatory condition, triggered by various factors such as infection or trauma, which can lead to serious complications if not treated quickly. This condition is characterized by symptoms such as fever or hypothermia, tachycardia, tachypnea, and changes in white blood cell count. Complications that can arise from SIRS include Acute Respiratory Distress Syndrome (ARDS), which results in fluid in the alveoli and requires mechanical ventilation; acute encephalopathy, which leads to brain dysfunction; Asidosis Metabolik, indicating liver damage; hemolysis, which results in the breakdown of red blood cells; and Deep Vein Thrombosis (DVT), which is at risk of causing pulmonary embolism. To overcome this diagnostic challenge, this study implements the Dempster-Shafer method in an expert system, where it allows the aggregation and combination of various sources of evidence to produce degrees of belief and degrees of plausibility for each diagnostic hypothesis. By accounting for uncertainties and contradictions in the data, the system improves diagnostic accuracy through dynamically weighting and updating beliefs based on available evidence. This process allows early and accurate identification of SIRS complications, supporting appropriate medical intervention. System evaluation showed diagnostic accuracy of 93%, confirming the potential of expert systems in supporting rapid and precise clinical decision-making in managing SIRS complications.
Peningkatan Kompetensi Guru SD melalui Pelatihan Microsoft Power Point Annisaa Utami; Yohani Setiya Rafika Nur; Muhammad Lulu Latif Usman; Dasril Aldo
JNANADHARMA Vol. 1 No. 2 (2023): Juli 2023
Publisher : Fakultas Sains Terapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jafst.v1i2.4318

Abstract

Dalam sektor Pendidikan, perangkat komputer memegang peranan sangat penting. Hal ini dapat dirasakan hampir semua aktivitas di dunia Pendidikan yang telah menggunakan komputer. Pemanfaatan komputer sebagai media pembelajarannyamasih dirasa sangat minim dan terbatas. Guru SD Negeri 3 Kebondalem Banjarnegara saat ini dituntut bersifat dinamis terhadap perkembangan teknologi yang sangat berkembang pesat sehingga, agar peserta didiknya mampu berkompeten menggunakan aplikasi yang sudah tersedia yaitu Microsoft Power Point. Pelatihan ini ditujukan kepada para guru agar dapat meningkatkan wawasan ilmu pengetahuan sebagai media pembelajaran menggunakan Microsoft Power Point. Dalam pelatihan mengenalkan dan mempraktekan fasilitas yang ada pada PPT seperti penggunan ribbon/menu bar, pemilihan tema, menyisipkan gambar dan video, menambahkan transisi dan efek animasi serta membuat hyperlink.
Optimalisasi Pengelolaan Sampah Plastik Serta Pemberdayaan Masyarakat Dalam Peningkatan Ekonomi Warga Dusun Semingkir Purwokerto Bachrul Restu Bagja; Luqman Wahyudi; Yanuar Ikhsan Pamuji; Yohani Setiya Rafika Nur
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 3 No. 4 (2023): Desember : Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v3i4.2454

Abstract

Covid-19 has left many traces on the Indonesian people, the sorrow of losing family, friends and relatives, as well as the consumer behavior of society. Behavior during the pandemic then becomes a new habit for society, where purchases of goods, food or drinks online continue to be made. This has an impact on the increasing amount of household waste, there is a buildup of waste, especially plastic-based waste. Plastic waste is a type of waste that poses a serious threat to the environment because it is not easily decomposed by nature. Destruction of plastic waste through burning also creates new problems in the form of air pollution which increases the risk of cancer. Public awareness of the negative impacts of plastic waste is increasing in big cities and in regions, such as Banyumas Regency, one of which is encouraged by the existence of a non-governmental group that is engaged in utilizing waste, namely the Inyong Waste Bank. Conventional methods in processing waste, product distribution patterns and management that are not optimal have caused the public's interest in getting involved in the Inyong Waste Bank to decrease because the economic value has decreased drastically. There are solutions in the form of increasing capabilities in processing waste using alternative methods, public interest in managing the Inyong Waste Bank, as well as arranging new distribution patterns so that they can increase the economic value of products resulting from periodic training activities with outputs in the form of websites, logo designing and product innovation and promotion training.
Penerapan Metode Simple Additive Weighting (SAW) dalam Penentuan Bonus Karyawan (Studi Kasus: PT. Wana Anugrah Albasindo) Zahirah, Regina Putri Wanda; Nadia Ayu Isroh; Prasetyo, Ade; Nur, Yohani Setiya Rafika
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1450

Abstract

The agency will provide a salary as compensation for an employee's work. In addition to providing a basic wage, each agency often provides salary bonuses however, PT. Wana Anugrah Albasindo has difficulty distributing rewards to employees based on the performance of their employees, so decision support is needed based on the performance of each employee. The research data used criteria such as Presence, Number of Overtime Hours, and Length of Work. Based on the results and discussion of this research, it can be concluded that the application of determining employee bonuses with the SAW method is beneficial for PT. Wana Anugrah Albasindo is more transparent in deciding employee bonuses at PT. Wana Anugrah Albasindo determines the weight value of each assessment criterion in the form of attendance with a percentage of 50%, the number of overtime hours at 30%, and the length of work at 20%.
Optimization of Recruitment of Prospective Financial Managers Through a Decision Support System with the Multi Attribute Utility Theory Method Firmansyah, Muhammad Raafi'u; Sahara, Sahara; Yeyi Gusla Nengsih; Dedi Rahman Habibie; Yohani Setiya Rafika Nur
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 1 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i1.1767

Abstract

This study evaluates the application of Multi Attribute Utility Theory (MAUT)-based decision support systems in the recruitment process of financial managers in technology companies "TechInnovate". This study aims to identify the extent to which the use of MAUT can increase objectivity and effectiveness in candidate selection. The quantitative method was used by collecting data from 50 candidates who volunteered for this position. The assessment criteria that have been determined include Education and Qualifications, Work Experience, Analytical and Financial Skills, Communication Skills, Leadership and Team Management, Ethics and Integrity, Technology Capabilities, Adaptability and Innovation, Decision Making Ability. Data is collected through scores assigned to each criterion for each candidate, which are then aggregated taking into account the relative weights of each criterion. Statistical analysis is applied to evaluate the distribution of scores and the effectiveness of the system in selecting the most suitable candidates. Results from this study show that the application of MAUT is significant in improving objectivity in recruitment decision making, with high scores strongly correlated with expected job performance in in-depth interviews and follow-up evaluations. This study proves that integrating a systematic approach in recruitment not only strengthens the selection process but also promotes data-driven and objective decisions. The implications of this research are relevant for companies operating in dynamic and technology-centric environments, suggesting the integration of MAUT-based decision support systems as an effective strategy in the recruitment process.