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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika INDONESIAN JOURNAL OF PHARMACY Journal of Information System Civis: Jurnal Ilmiah Ilmu Sosial dan Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmu Keluarga dan Konsumen BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks Farmasains : Jurnal Ilmiah Ilmu Kefarmasian JRST (Jurnal Riset Sains dan Teknologi) JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) Jurnal Teladan: Jurnal Ilmu Pendidikan dan Pembelajaran JFIOnline Jurnal Ilmu Kefarmasian Indonesia INTEK: Jurnal Penelitian Accounting and Management Journal Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Teknik Informatika (JUTIF) Tafkir: Interdisciplinary Journal of Islamic Education Narra J Akuntansi Bisnis & Manajemen (ABM) Unram Journal of Community Service (UJCS) Jurnal Akutansi Manajemen Ekonomi Kewirausahaan (JAMEK) Jurnal Fortech Journal of International Conference Proceedings Journal of Artificial Intelligence and Digital Business Mestro Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Scientific Journal of Informatics Jurnal Kefarmasian Indonesia Jurnal Pengabdian Masyarakat Unama Nucleus Journal Jurnal Sains dan Kesehatan Jurnal FORTECH
Agus Siswanto
Fakultas Farmasi Universitas Muhammadiyah Purwokerto
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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PEMBELAJARAN KEWIRAUSAHAAN PADA PENDIDIKAN TINGGI Siswanto, Agus
Civis : Jurnal Ilmiah Ilmu Sosial dan Pendidikan Vol 4, No 2 (2014): JULI 2014
Publisher : FPIPSKR Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/civis.v4i2.612

Abstract

Pembelajaraan kewirausahaan diperlukan sebagai upaya untuk menumbuhkembangkan minat kewirausahaan agar para lulusan perguruan tinggi lebih menjadi pencipta lapangan kerja dari pada pencari kerja. Pendidikan kewirausahaan bertujuan untuk menyiapkan agar mahasiswa memiliki kesiapan untuk membuka usaha baru setelah lulus kuliah. Paper ini bertujuan: (1) untuk lebih memahami pro kontra pembelajaraan kewirausahaan di perguruan tinggi, (2) memahami kerangka teori dampak pembelajaraan kewirausahaan seperti dalam peningkatan minat mahasiswa untuk berwirausaha. Literatur pembelajaraan kewirausahaan memberikan sejumlah kesenjangan. Kesenjangan tersebut adalah berkaitan dengan apakah pendidikan kewirausahaan dapat diajarkan atai tidak serta aakah metode pengajaran yang paling tepat dilakukan untuk pembelajaran kewirausahaan. Pandangan tradisional beranggapan bahwa kewirausahaan itu bakat dari lahir dan karenanya tidak dapat diajarkan, namun beberapa studi empiris menemukan bahwa kewirausahaan dapat diajarkan, diantaranya melalui pendekatan action based learning, experiental learning dan consultation-based learning. Pembelajaraan kewirausahaan dalam upaya meningkatkan niat mahasiswa untuk berwirausaha, dalam pendekatan teori ekonomi memerlukan faktor pendorong (push) baik dari personal dan lingkungan serta faktor penarik (pull) yang berupa kesempatan-kesempatan untuk berwirausaha. Dari sudut pandang Ilmu sosial dan psikologi, teori yang paling sering dipakai dalam memperkirakan suatu dorongan perilaku adalah teori reasoned action dan teori planned behavior. Pembelajaraan kewirausahaan dalam upaya untuk meningkatkan minat mahasiswa untuk berwirausaha memerlukan: pengetahuan, ketrampilan, sikap yang akhirnya menumbuhkan perilaku berwirausaha yang dipengaruhi faktor internal dan eksternal. Kata Kunci: pembelajaraan kewirausahaan, pendidikan tinggi, minat berwirausaha, literature review
IDENTIFIKASI KEBUTUHAN SISTEM MONITORING DAN PENGENDALIAN MULTI-PROYEK KONSTRUKSI DENGAN METODE HOUSE OF QUALITY Studi Kasus: Dinas Pekerjaan Umum Kabupaten Gresik Siswanto, Agus; Baihaqi, Imam
JURNAL AKUNTANSI DAN MANAJEMEN Vol 1 No 2 (2018): Accounting and Management Journal
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/amj.v1i2.79

Abstract

Every year, the committing officer, then called as PPK, as the manager of the owner construction project in the local government and its team often handles more than 50 (fifty) construction projects termed “multi construction projects”. This study aims to identify the design needs of monitoring and controlling multi-construction projects system in the local government in order to be developed as a reference needs of monitoring and controlling system software. This study began by identifying the needs of PPK and stakeholders through interviews related to the system software that will be developed. The interview results were then grouped and described as “customer requirement attributes” and then made the “importance” level values of those attributes as a questionnaire. The quality result concluded that all customer requirements attributes were considered important with the total score range at 123–171 from the “importance” standard score is 105. Then a functional requirement was made for each customer requirement and analyzed using a method adopted from house of quality (HoQ) with final results are; the highest percentage from 36 (thirty six) of the relative importance weight from functional requirements is 6.42 percent and the lowest is 1.24 percent with 5 (five) highest sequences are 4.78 percent-6.42 percent.
Optimasi Kecepatan dan Responsivitas Aplikasi Presensi Perkuliahan Berbasis Web melalui Arsitektur Single Page Application Ali Sadikin; Rahim, Abdul; Siswanto, Agus; Wardani, Muhammad; Ricky Fajar Adiputra
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2539

Abstract

Web-based lecture attendance applications that use Multi-Page Application (MPA) architecture often face speed and responsiveness issues when the number of users increases. This study aims to optimize the attendance application at Universitas Dinamika Bangsa (UNAMA) by implementing Single Page Application (SPA) architecture to improve system access speed and responsiveness. Using the waterfall development method, the results of this study show that SPA implementation is significantly more efficient than Multi-page Application (MPA) architecture in several aspects, including the number of Requests (RC), Transferred File Size (TF), Resources (RS), and Request Duration (RD). For example, the “Home” page on MPA requires 51 requests with a total transfer of 741 kB and a duration of 945 ms, while on SPA it only requires 1 request with a transfer of 5.9 kB and a duration of 187 ms. This proves that the SPA architecture successfully reduces network load and speeds up response time, resulting in a more responsive user experience and efficient use of resources.
Analisa Overhaul Aliran Beban PMT GI 150/70 kV Menggunakan ETAP pada SUTT 70 kV Siswanto, Agus; Baehaqi, Mudofar; Naufal, Mansur
Nucleus Journal Vol. 3 No. 2 (2024): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v3i2.3202

Abstract

The power breaker (PMT) in the transmission system functions as a load breaker both under normal circumstances and when a disturbance occurs. In July 2021 it was discovered that there was an SF6 gas leak at (PMT) bay Arjawinangun 2 at Gi Sunyaragi. Under these conditions an overhaul was carried out which in the implementation found several sources of causes of leaks such as scale and corrosion at the joints and packing conditions that were no longer flexible. Before the implementation and after the implementation of the overhoul, tests were carried out including: contact resistance testing, insulation resistance testing and after a series of tests were carried out, then an analysis of the test results was carried out and a voltage drop simulation was carried out using the Etap 12.6 software from a series of activities, 5 simulation results were obtained and concluded that the system is still within safe limits (up 5%, down 10% from the nominal voltage). As well as other tests such as isolation resistance and contact resistance are still included in the specified standard category, so it is concluded that the PMT bay Arjawinangun 2 is in good condition and safe to operate.
Optimasi Fast Disintegrating Tablet Difenhidramin HCl Menggunakan Modifikasi Pati Pisang Kepok Kuning, Crospovidone, dan Microcrystalline Cellulose Rahmawati, Tias Eka; Siswanto, Agus; Djalil, Asmiyenti Djaliasrin
JURNAL ILMU KEFARMASIAN INDONESIA Vol 21 No 2 (2023): JIFI
Publisher : Faculty of Pharmacy, Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jifi.v21i2.1406

Abstract

Diphenhydramine HCl is an antihistamine drug that is available in conventional tablet form. This study aimed to produce the optimum formula for a diphenhydramine fast disintegrating tablet (FDT) using a modification of starch, crospovidone, and microcrystalline cellulose (MCC) to produce quality tablets that meet the tablet's physical requirements and tablet dissolution. Starch modification was made using a two-step method of starch cross-link, then continued with silica coprecipitation. FDT was prepared by the direct compression method. Optimisation with the simplex lattice design (SLD) model uses three components: co-process starch crosslink-silica, crospovidone, and MCC, which obtained 14 formula designs. The hardness, wetting time, disintegration time, and percent dissolution are optimisation parameters. Equations, contour plots, and desirability values were determined as the optimum formula. Based on the research results, an optimum formula was obtained with the proportion of co-process cross-link starch-silica was 56.185 mg, crospovidone at 6 mg, and MCC at 45.815 mg. The result of hardness was 5 kg, wetting time 51.061 seconds, disintegration time 63.129 seconds, and dissolution was 100.972%. The interaction of the three components reduces hardness and increases disintegration time, wetting time, and percent dissolution.
Enhancing Fake News Detection on Imbalanced Data Using Resampling Techniques and Classical Machine Learning Models Abidin, Dodo Zaenal; Siswanto, Agus; Saputra, Chindra; Betantiyo , Betantiyo; Nehemia Toscany, Afrizal
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5177

Abstract

Class imbalance remains a critical challenge in fake news detection, particularly in domains such as entertainment media where class distributions are highly skewed. This study evaluates seven resampling techniques—Random Oversampling, SMOTE, ADASYN, Random Undersampling, Tomek Links, NearMiss, and No Resampling—applied to three classical machine learning models: Logistic Regression, Support Vector Machine (SVM), and Random Forest. Using the imbalanced GossipCop dataset comprising 24,102 news headlines, the proposed pipeline integrates TF-IDF vectorization, stratified 3-fold cross-validation, and five evaluation metrics: F1-score, precision, recall, ROC AUC, and PR AUC. Experimental results show that oversampling methods, particularly SMOTE and Random Oversampling, substantially improve minority class (fake news) detection. Among all model–resampling combinations, SVM with SMOTE achieved the highest performance (F1-score = 0.67, PR AUC = 0.74), demonstrating its robustness in handling imbalanced short-text classification. Conversely, undersampling methods frequently reduced recall, especially with ensemble models like Random Forest. This approach enhances model robustness in fake news detection on skewed datasets and contributes a reproducible, domain-specific framework for developing more reliable misinformation classifiers.
Optimized Non-Overlapping Multi-Object Segmentation for Palm Oil Images Using FCN with Squeeze-and-Excitation and Attention Mechanisms Pratama, Yovi; Rasywir, Errissya; Siswanto, Agus
Scientific Journal of Informatics Vol. 12 No. 1: February 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i1.22212

Abstract

Purpose: Palm oil plantation monitoring using UAV imagery presents significant challenges in multi-object segmentation due to homogeneous texture, low resolution, and difficulty in distinguishing disease symptoms. Traditional segmentation methods struggle to accurately separate overlapping and visually similar objects, reducing the effectiveness of automated analysis. This study aims to address these issues by proposing an optimized Fully Convolutional Network (FCN) incorporating Squeeze-and-Excitation (SE-Block) and Attention Mechanisms to enhance segmentation accuracy for multi-object, non-overlapping palm oil images. Methods: The proposed model utilizes ResNet50 as a backbone, integrating SE-Block to enhance the feature representation of important regions while suppressing less relevant features. Additionally, Attention Mechanisms are incorporated to improve the model's spatial understanding and feature discrimination, which is crucial for segmenting visually similar objects in UAV imagery. A dataset of UAV-captured palm oil images was used to train and evaluate the model, applying deep learning techniques for feature extraction and classification. Result: Experimental results demonstrate that the proposed method achieves an average Intersection over Union (IoU) of 0.7928, accuracy of 0.9424, precision of 0.9126, recall of 0.8622, F1-score of 0.8693, and mAP of 0.7673. The highest-performing model attained a maximum IoU of 0.8499 and an accuracy of 0.9490, significantly outperforming conventional FCN models. These findings confirm that incorporating SE-Block and Attention Mechanisms enhances segmentation accuracy, making the model more robust in handling UAV imagery complexities. Novelty: The novelty of this research lies in the integration of SE-Block and Attention Mechanisms within FCN for palm oil segmentation, specifically targeting multi-object, non-overlapping segmentation in challenging UAV imagery conditions. By improving feature extraction and spatial attention, this approach advances deep learning-based agricultural monitoring and can be extended to other remote sensing applications requiring high-precision segmentation.
Pengembangan Eksipien Cetak Langsung dari Crosslinked Pati Buah Pisang Kepok dengan Silicon Dioxide Menggunakan Teknik Coprocessing: Development of Direct Compression Excipient from Crosslinked Kepok Banana Starch with Silicon Dioxide Using Coprocessing Techniques Rahmawati, Tias Eka; Siswanto, Agus; Djalil, Asmiyenti Djaliasrin
Jurnal Sains dan Kesehatan Vol. 6 No. 5 (2024): J. Sains Kes.
Publisher : Fakultas Farmasi, Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25026/jsk.v6i5.2284

Abstract

This research aims to create and evaluate the crosslink coprocess of Kepok banana starch with silica dioxide as an additional material for making tablets using the direct compression method. Coprocessing is carried out using the coprecipitation method of silica on the surface of starch that has been crosslinked with sodium tripolyphosphate. Coprocesses were evaluated based on solubility characteristics, swelling power, angle of repose, Hausner ratio, compressibility index, FTIR, and SEM microscopy. The starch-silica coprocess showed better flow properties and compressibility compared to other frequently used super disintegrants. FTIR showed that there was no chemical reaction between the two starch and silica materials during the coprecipitation process. Coprocess crosslink kepok banana starch can be used as an excipient for making tablets using the direct compression method because it has better flow properties and a compressibility index. Keywords:          Banana Starch, Coprocess, Crosslink starch, Silicon dioxide   Abstrak Tujuan dari penelitian ini adalah untuk membuat dan melakukan evaluasi coproses crosslink pati buah pisang kepok dengan silika dioxide sebagai eksipien pembuatan tablet dengan metode cetak langsung. Pembuatan coprosess dilakukan dengan metode kopresipitasi silika pada permukaan pati yang sudah di crosslink dengan sodium tripoluphospate. Coprosess dievaluasi berdasarkan karakteristik kelarutan, daya pengembangan, sudut diam, rasio hausner, indeks kompresibilitas, FTIR dan mikroskop SEM. Coprocess pati-silika menunjukkan sifat alir dan kompresibilitas yang lebih baik dibandingkan dengan superdisintegran lain yang sering digunakan. FTIR menunjukkan tidak ada reaksi kimia antara kedua bahan pati dan silika selama proses kopresipitasi. Coprosess crosslink pati buah pisang kepok dapat digunakan sebagai eksipien pembuatan tablet dengan metode kempa langsung karena memiliki sifat alir dan indeks kompresibilitas yang lebih baik. Kata Kunci:         Coprocess, Pati buah pisang, Pati ikat silang, Silicon dioxide
Training on the Use of Appropriate Technology to Increase Agricultural Production in Villages in Indonesia Siswanto, Agus; Haji, Wachyu Hari; Suryadi, Dikky; Hady, Sultan; Setiawan, Zunan
Unram Journal of Community Service Vol. 5 No. 3 (2024): September
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i3.673

Abstract

This Community Service activity aims to improve the knowledge and skills of farmers in Indonesia's villages by using appropriate technology through online training. In this series of activities, villages with adequate internet infrastructure and a low rate of technology adoption are identified. The training was conducted online using the Zoom application and attended by farmers from various regions. The results of the pre-test show that the majority of farmers have limited knowledge about agricultural technology. After participating in the training, the final assessment (post-test) showed a significant improvement in farmers' knowledge and skills, with an average increase in knowledge scores of 60% and skills of 55%. High participation and positive feedback from participants indicate the effectiveness of online training as a method to increase farmers' capacity. However, challenges such as limited access to equipment and cost remain obstacles to implementing appropriate technology in the field. In conclusion, online training has improved farmers' knowledge and skills. Still, additional support is needed to ensure the sustainability of the application of technology in the field. These findings make an important contribution to the development of farmer capacity-building programs in Indonesia, especially in the context of the adoption of modern agricultural technology.
Improving the Quality of Human Resources in Villages Through Empowerment and Managerial Training Programs Lubis, Fatimah Malini; Rustiawan, Indra; Siswanto, Agus; Feriyadin, Feriyadin; Setiawan, Roy
Unram Journal of Community Service Vol. 5 No. 3 (2024): September
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i3.698

Abstract

This Community Service (PKM) activity aims to improve the quality of human resources in the village through empowerment programs and managerial training that are carried out online. This training focuses on three main aspects: leadership, financial management, and natural resource management. Thirty-five village officials and MSME managers participated in this training through the Zoom application for four sessions. The methods include material presentations, interactive discussions, case simulations, and post-training assistance via WhatsApp and follow-up webinars. The evaluation results showed that 75% of the participants experienced an improvement in managerial skills, especially in decision-making and financial management. In addition, participants' satisfaction with the training reached 85%, with a positive response to how the material was delivered and the relevance of the topic to the needs of the village community. Constraints such as limited internet access are overcome by providing session recordings and modules that can be accessed offline. This program fills the gap from previous research by focusing on economic aspects, leadership capacity building, and sustainable management of natural resources. The online approach in this training has proven to be effective in answering the needs of village communities and bridging geographical and technological limitations, which supports more competitive village development
Co-Authors Abdul Choliq Hidayat Abdul Manan Abdul Rahim Abdul Rosyid Abidin, Dodo Zaenal Achmad Fudholi Achmad Fudholi ACHMAD FUDHOLI Adithya Wahyu Pratama, Adithya Wahyu Afrizal Nehemia Toscany Aftoni Sutanto Ahmad Husain Asdie Ajrania, Sri Akhir Riana Handayani, Akhir Riana Akhmad Kharis Nugroho Albait, Nur Aldiansyah, m. Ali Sadikin Amrullah, Bagaskara Falah Anjar Mahardian Kusuma Arvita, Yulia Ashad, Bayu Adrian Asmiyenti Djaliasrin Djalil Baedhowi, Abdul Latif Baehaqi, Mudofar Beny Betantiyo , Betantiyo Chindra Saputra Diah Krisnatuti Diniatik Diniatik Dodit Ari Wibowo, Dodit Ari Dwi Hartanti Dwi Rahayuningsih E. Mudjaddid A. Siswanto Deddy N.W.Achadiono Hamzah Shatri Emelia, Shinta Endang Prihastuty, Endang Erfan Subiyanta, Erfan Errissya Rasywir Euis Sunarti eva rosmawati Eva Rosmawati Evi Sofia Fachruddin Fatimah Malini Lubis Fauziati, Ana Feranika, Ayu Feriyadin, Feriyadin Fiastuti Witjaksono Gustina Nurkhayatun, Gustina Hady, Sultan Hambari, Hambari Hariadi Hariawan Heikal, Jerry Hermawan, M. Reza Herti Yani, Herti Hery Sonawan Hidayat, Abdul Choliq Himawanti, Nanda Puspita Imam Baihaqi Imam Subekti Indri Hapsari Indri Hapsari Iskandar Soedirman, Iskandar Iskandar Sudirman Istighfarani, Syifa Jasmir, Jasmir Junial Heri Khasanah, Fitria Nurrul Kuntjoro Harimurti Machrus Ali Megantara, Marcelino A. Moeslich Hasanmihardja Mucharomah, Nurul Maghfiroh MUHAMMAD FURQONI musthofa Mutiara Poetri Nurtanti, Mutiara Poetri Nasrun, Martina W. Naufal, Mansur Nunuk Aries Nurulita PAMUSO, MARLIN Paramitha, Cindy Pareza Alam Jusia, Pareza Alam Pebrianto, Feri Prayogo, Lito Pri Iswati Utami Purnomo, Luthfan Budi Rahmawati, Tias Eka Rasywir, Errisya Reza Pramitha Habsari, Reza Pramitha Ricky Fajar Adiputra Rizana Fauzi, Rizana Rizki Okprastowo rohadin, rohadin Rosalina, Mia Rosario, Maria rosmawati, eva Rosyadi, Marwan RR. Ella Evrita Hestiandari Rudi Putranto Rustiawan, Indra S.Kom.,M.Pd, Arifudin Setiawan, Roy Setiawan, Zunan Siregar, Arief Kurniawan Siti Helmyati Siti Setiati Sofiansyah, Muhammad Edi Sudibyo Martono Sudibyo Martono SUDIBYO MARTONO Suhendro Suwarto, Suhendro Suparman Suparman Suparman Suparman Suryadi, Dikky Sutanto , Aftoni Sutoyo, Mochammad Arief Hermawan Suyanti Suyanti Suyanti Suzanna Immanuel Tohasan, Achmad W. Djoko Yudisworo Wachyu Hari Haji Wardani, Muhammad Wasiran, Wasiran Wibawa, Arief Wibowo, Indi Deli Fiallo Widya Cahya Ariswati, Widya Cahya Wulansari, Eka Yafi, Zidni Reynard Yekti Mulyani, Yekti Yovi Pratama Yuli Asmi Rahman Yuni Ernawati, Yuni yusni ulfiani zulaikha Yusni Ulfiani Zulaikha zulaikha, yusni ulfiani