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All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics PROSIDING CSGTEIS 2013 JURNAL PENELITIAN SAINTIKA EMITTER International Journal of Engineering Technology JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA Martabe : Jurnal Pengabdian Kepada Masyarakat INTEK: Jurnal Penelitian Jurnal Mantik Jurnal Informatika dan Rekayasa Elektronik Best Journal (Biology Education, Sains and Technology) JURNAL PIONIR Indonesian Journal of Electrical Engineering and Computer Science GUYUB: Journal of Community Engagement Bioscientist : Jurnal Ilmiah Biologi Prosiding University Research Colloquium BIO-CONS: Jurnal Biologi dan Konservasi Jurnal Ragam Pengabdian
Tri Harsono
Politeknik Elektronika Negri Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Brute-force Detection Using Ensemble Classification Kharismadhany, Ekky; Ruswiansari, Maretha; Harsono, Tri
INTEK: Jurnal Penelitian Vol 9 No 2 (2022): October 2022
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v9i2.3550

Abstract

Traditional brute-force is a dictionary-based attack that tries to unlock an authentication process in service. This type of brute force can be applied in web and SSH services, and brute-force XSS injects JavaScript code. In this paper, we explore four types of ensemble classifiers using CIC-CSE-IDS 2018 to determine which yields the highest accuracy, recall, precision, and F1 in detecting three types of brute force. The first step of the research is to normalise the dataset with the tanH operator. The second step is to train the single classifier to determine three types of single classifiers combined as ensemble classifiers. The last step is predicting and comparing the results of four ensemble classifiers. The stacking algorithm achieves the best test result that reaches 94.87%, 99.94%, 98.82%, and 99.37% for accuracy, precision, recall, and F1, respectively.
Etnobotani Perumahan Etnis Melayu Langkat Di Tanjung Pura Dan Melayu Pesisir Di Tanjung Balai Ningtiyas, Sri Kandi Atma; Harsono, Tri
BEST Journal (Biology Education, Sains and Technology) Vol 8, No 2 (2025): September 2025
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v8i2.12173

Abstract

Penelitian ini bertujuan untuk mengungkap dan mendokumentasikan pengetahuan lokal masyarakat Etnis Melayu di Tanjung Pura (Langkat) dan Tanjung Balai (Asahan) mengenai pemanfaatan tumbuhan sebagai bahan bangunan rumah tradisional. Model yang digunakan adalah penelitian kualitatif dengan pendekatan etnobotani, melalui observasi langsung, wawancara terstruktur dan dokumentasi visual. Hasil penelitian menunjukkan bahwa masyarakat Melayu di kedua wilayah memanfaatkan berbagai jenis tumbuhan lokal seperti jati (Tectona grandis), kelapa (Cocos nucifera), bambu (Bambusa sp.), nibung (Oncosperma tigillarium), rotan (Calamus spp.) dan nipah (Nypa fruticans) sebagai bahan utama dalam pembangunan rumah panggung. Pemilihan jenis tumbuhan dipengaruhi oleh faktor geografis, ketersediaan lokal, serta kepercayaan dan nilai-nilai budaya. Di Tanjung Pura, pemanfaatan tumbuhan didominasi oleh jenis kayu keras dari hutan daratan, sedangkan di TanjungBalai lebih banyak menggunakan tumbuhan pesisir dan rawa. Pengetahuan ini diwariskan secara turun temurun secara lisan dan sebagai besar belum terdokumentasi secara formal. Penelitian ini menegaskan pentingnya pelestarian kearifan lokal melalui dokumentasi, pendidikan dan konservasi tumbuhan lokal sebagai upaya menjaga warisan budaya takbenda masyarakat Melayu
Pengaruh Penyimpanan Nasi Gelatinsasi Terhadap Berat Badan dan Asam Propianat Pada Obesitas Harsono, Tri; Indarto, Dono; Wasita, Brian
Prosiding University Research Colloquium Proceeding of The 11th University Research Colloquium 2020: Bidang MIPA dan Kesehatan
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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

Abstract

Latar Belakang. Obesitas merupakan masalah baik di negara maju maupun negara berkembang dan selalu meningkat prevalensinya setiap tahun. Dampak obesitas berkaitan erat dengan penyakit metabolisme dan kardiovaskuler. Nasi gelatinisasi yang disimpan panas dan dingin menyebabkan retrogradasi dan oksidasi karbohidrat sehingga dapat meningkatkan jumlah pati resisten dan menurunkan IG (Indeks Glikemik) serta terbentuknya asam lemak rantai pendek (asetat, propianat, butirat). Pati resisten berperan dalam menurunkan kadar glukosa darah, sedangkan asam propianat berperan dalam sekresi hormon glucagon, GLP-1 dan PYY sehingga menekan nafsu makan dan menurunkan berat badan. Tujuan. Menganalisis pengaruh metode dan lama penyimpanan nasi gelatinisasi terhadap berat badan dan asam propianat pada obesitas. Metode. Desain penelitian adalah eksperimental pre-post controlled grup design dengan 65 responden obesitas dibagi dalam 5 kelompok perlakuan secara acak (Kontrol, P1, P2, P3, dan P4). Instrumen penelitian pengukuran komposisi tubuh dengan BIA (Biompedence Analysis) pre-post test, kadar asam propianat dengan VPA-GCMS (Volatil Fatty Acid - Gas Cromatography Mass Spectrometry) post test, dan food recall. Analisa statistik dengan Saphiro Wilk dan Paired t test atau Wilcoxon. Hasil. Metode dan lama penyimpanan nasi gelatinisasi berbeda nyata terhadap berat badan (p = 0,007 < 0,05) pada penyimpanan dingin 4 0C selama 48 jam (P4), sedangkan kadar asam propianat signifikan pada perlakuan (P4) yaitu (p = 0,000 < 0,05) sebanyak 0,26 mMol. Kesimpulan. Nasi gelatinisasi yang disimpan dingin pada suhu 4 0C (refrigerator) selama 48 jam dapat menurunkan berat badan dan meningkatkan asam propianat.
Pengembangan Penuntun Praktikum Biologi Molekuler Dasar Berbasis Project-Based Learning untuk Meningkatkan Penguasaan Konsep dan Keterampilan Proses Sains Siswa SMK Lestari, Sri Ratna; Sipahutar, Herbert; Harsono, Tri
Bioscientist : Jurnal Ilmiah Biologi Vol. 13 No. 2 (2025): June
Publisher : Department of Biology Education, FSTT, Mandalika University of Education, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/bioscientist.v13i2.16105

Abstract

This study aimed to develop a Project-Based Learning (PjBL)-oriented practicum guide for basic molecular biology to enhance students’ concept mastery and science process skills in the IPAS subject, particularly on the topic of living organisms and their environment. The development model used was ADDIE (Analysis, Design, Development, Implementation, Evaluation). The research subjects were grade X students from the Health and Social Work Expertise Program at SMKS Galang Insan Mandiri Binjai. Data were collected through needs analysis questionnaires, expert validation sheets, student response questionnaires, and tests of cognitive understanding and science process skills. The practicum guide consisted of three core activities: simple DNA isolation, in silico PCR simulation, and basic electrophoresis, all designed in alignment with PjBL syntax. Expert validation results indicated a high level of feasibility: content expert (92.53%), instructional design expert (98.08%), and layout expert (94.81%). The guide’s effectiveness was evaluated through an independent sample t-test, showing significant differences between experimental and control groups in both concept mastery (t = 9.299; p = 0.000) and science process skills (t = 8.800; p = 0.000). These findings demonstrate the practicum guide's effectiveness in improving the quality of molecular biology instruction and fostering students’ ability to apply scientific processes in a contextual and collaborative manner. The study recommends adopting PjBL-based practicum guides as a relevant instructional strategy for vocational education in the 21st century.
SOSIALISASI BUDIDAYA JAMUR TIRAM DI PRIMA WISATA EDUKASI DESA SELEMAK, KECAMATAN HAMPARAN PERAK, KABUPATEN DELI SERDANG Harsono, Tri; Anjaning Kusuma Marpaung, Dwi Ratna; Huda Panggabean, Nurul; Ulfa Nuzalifah, Yossie; Rahmawati, Suci
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 7 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i7.2800-2806

Abstract

Prima Wisata Edukasi Desa Selemak berlokasi di Kecamatan Hamparan Perak, Kabupaten Deli Serdang merupakan wisata buatan yang memiliki konsep wisata beredukasi dan berpotensi untuk berkembang. Guna meningkatkan eksistensinya diperlukan suatu program yang dapat menambah khazanah pengetahuan wisatawan yang dapat menjadi suatu alternatif peningkatan pendapatan masyarakat setempat. Program pengabdian “ Sosialisasi budidaya jamur tiram putih” telah dilaksanakan pada tanggal 20 Mei 2024 dengan melibatkan kelompok sadar wisata (Pokdarwis) dan masyarakat setempat. Pelaksanaan sosialisasi dilakukan dengan penyampaian materi interaktif kepada masyarakat dibarengi dengan diskusi serta praktik budidaya jamur tiram putih meliputi pembuatan bibit F0,  pembuatan bibit F1, perbanyakan bibit F2 dan pembuatan F3 (pembuatan media tanam atau baglog dengan delapan tahapan yaitu persiapan media, pencampuran media, pengomposan, pembuatan baglog, sterilisasi, inokulasi, inkubasi, serta pertumbuhan dan pemeliharaan). Kegiatan ini telah mentransfer pemanfaatan teknologi dan menambah skill SDM untuk pengembangan program wisata edukasi berkelanjutan serta meningkatkan minat peserta pengabdian untuk budidaya jamur tiram putih guna membantu perekonomian keluarga.
Social Media Engineering for Issues Feature Extraction using Categorization Knowledge Modelling and Rule-based Sentiment Analysis Al Islami, M Tafaquh Fiddin; Barakbah, Ali Ridho; Harsono, Tri
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.397

Abstract

A company maintains and improves its quality services by paying attention to reviews and complaints from users. The complaints from users are commonly written using human natural language expression so that their messages are computationally difficult to extract and proceed. To overcome this difficulty, in this study, we presented a new system for issues feature extraction from users’ reviews and complaints from social media data. This system consists of four main functions: (1) Data Crawling and Preprocessing, (2) Categorization Knowledge Modelling, (3) Rule-based Sentiment Analysis, and (4) Application Environment. Data Crawling and Preprocessing provides data acquisition from users’ tweets on social media, crawls the data and applies the data preprocessing. Categorization Knowledge Modelling provides text mining of textual data, vector space transformation to create knowledge metadata, context recognition of keyword queries to the knowledge metadata, and similarity measurement for categorization. In the Rule-based Sentiment Analysis, we developed our own rules of computatioal linguistics to measure polarity of sentiment. Application Environment consists of 3 layers: database management, back-end services and front-end services. For applicability of our proposed system, we conducted two kinds of experimental study: (1) categorization performance, and (2) sentiment analysis performance. For categorization performance, we used 8743 tweet data and performed 82% of accuracy. For categorization performance, we made experiments on 217 tweet data and performed 92% of accuracy.
Pengaruh Pemberian Pupuk NPK dan Pupuk Guano terhadap Pertumbuhan dan Produksi Tanaman Selada (Lactuca sativa L.) Sihaloho, Terry Williem; Harsono, Tri
BIO-CONS : Jurnal Biologi dan Konservasi Vol. 7 No. 2 (2025): BIO-CONS: Jurnal Biologi dan Konservasi
Publisher : PROGRAM STUDI PENDIDIKAN BIOLOGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/biocons.v7i2.2493

Abstract

Selada (Lactuca sativa L.) merupakan sayuran bernilai ekonomi tinggi dengan permintaan yang terus meningkat. Namun, budidayanya di Indonesia masih menghadapi kendala, terutama dalam pemenuhan kebutuhan unsur hara dalam tanah. Penggunaan pupuk organik seperti guano serta pupuk anorganik seperti NPK dapat menjadi solusi untuk meningkatkan pertumbuhan dan hasil selada. Penelitian ini bertujuan untuk mengevaluasi pengaruh pemberian pupuk guano dan pupuk NPK terhadap pertumbuhan dan produksi tanaman selada. Penelitian menggunakan Rancangan Acak Lengkap (RAL) faktorial dengan dua faktor, yaitu pupuk guano (0, 1, 2, dan 3 gram) dan pupuk NPK (0, 0,75, dan 1,5 gram). Parameter yang diamati meliputi tinggi tanaman, jumlah helai daun, luas daun, berat basah, dan berat kering tanaman. Data dianalisis menggunakan ANOVA dua jalur dengan uji lanjut LSD dengan taraf kepercayaan 5%. Hasil penelitian menunjukkan bahwa pemberian pupuk NPK berpengaruh nyata terhadap tinggi tanaman, luas daun, dan berat kering, tetapi tidak berpengaruh nyata terhadap jumlah helai daun dan berat basah tanaman. Pemberian pupuk guano berpengaruh nyata terhadap semua parameter pertumbuhan dan produksi yang diamati. Kombinasi pupuk NPK dan guano juga memberikan pengaruh nyata terhadap seluruh parameter pertumbuhan dan hasil tanaman selada. Dengan demikian, penggunaan pupuk guano dan NPK dapat menjadi strategi yang efektif dalam meningkatkan produksi selada secara berkelanjutan
Reinforced Intrusion Detection Using Pursuit Reinforcement Competitive Learning Tiyas, Indah Yulia Prafitaning; Barakbah, Ali Ridho; Harsono, Tri; Sudarsono, Amang
EMITTER International Journal of Engineering Technology Vol 2 No 1 (2014)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (10388.993 KB) | DOI: 10.24003/emitter.v2i1.16

Abstract

Today, information technology is growing rapidly,all information can be obtainedmuch easier. It raises some new problems; one of them is unauthorized access to the system. We need a reliable network security system that is resistant to a variety of attacks against the system. Therefore, Intrusion Detection System (IDS) required to overcome the problems of intrusions. Many researches have been done on intrusion detection using classification methods. Classification methodshave high precision, but it takes efforts to determine an appropriate classification model to the classification problem. In this paper, we propose a new reinforced approach to detect intrusion with On-line Clustering using Reinforcement Learning. Reinforcement Learning is a new paradigm in machine learning which involves interaction with the environment.It works with reward and punishment mechanism to achieve solution. We apply the Reinforcement Learning to the intrusion detection problem with considering competitive learning using Pursuit Reinforcement Competitive Learning (PRCL). Based on the experimental result, PRCL can detect intrusions in real time with high accuracy (99.816% for DoS, 95.015% for Probe, 94.731% for R2L and 99.373% for U2R) and high speed (44 ms).The proposed approach can help network administrators to detect intrusion, so the computer network security systembecome reliable.Keywords: Intrusion Detection System, On-Line Clustering, Reinforcement Learning, Unsupervised Learning.
Evacuation System in a Building Using Cellular Automata for Pedestrian Dynamics ., Muarifin; Harsono, Tri; Barakbah, Aliridho
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.31

Abstract

The sense of safety in public facilities for pedestrians can be shown by the availability of good infrastructure, particularly the building. One of the aspects that can make pedestrians feel comfortable and safe is the availability of evacuation facilities in emergency situation. When a disaster strikes, people would start to panic and this will cause problems, especially during an evacuation.During panic in an evacuation process, pedestrians tend to act blindly and walk randomly and mindlessly. They might follow one another when they get panic. This is called as herding behavior. Regarding the evacuation systems, cellular automata is the basic method used to represent human motion. The movement of pedestrian is an important aspect during an evacuation process and this can be analyzed and implemented by using Cellular Automata. It is a simple method yet it can solve complex problems.Total evacuation time becomes the indicators in measuring the efficiency of this system. The result of comparison method shows that the proposed method could work better in certain conditions. In addition, the results of the experiments during panic and normal situation show similar characteristics especially regarding density aspect, yet evacuation time during panic situation takes longer time. The experiment’s results by using the actual data also has similar tendency with the evacuation time.Keywords: evacuation time, cellular automata, panic behavior, pedestrian
Cluster Oriented Spatio Temporal Multidimensional Data Visualization of Earthquakes in Indonesia Shodiq, Mohammad Nur; Barakbah, Ali Ridho; Harsono, Tri
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.34

Abstract

Spatio temporal data clustering is challenge task. The result of clustering data are utilized to investigate the seismic parameters. Seismic parameters are used to describe the characteristics of earthquake behavior. One of the effective technique to study multidimensional spatio temporal data is visualization. But, visualization of multidimensional data is complicated problem. Because, this analysis consists of observed data cluster and seismic parameters. In this paper, we propose a visualization system, called as IES (Indonesia Earthquake System), for cluster analysis, spatio temporal analysis, and visualize the multidimensional data of seismic parameters. We analyze the cluster analysis by using automatic clustering, that consists of get optimal number of cluster and Hierarchical K-means clustering. We explore the visual cluster and multidimensional data in low dimensional space visualization. We made experiment with observed data, that consists of seismic data around Indonesian archipelago during 2004 to 2014.Keywords: Clustering, visualization, multidimensional data, seismic parameters.
Co-Authors Achmad Basuki Achmad Basuki Achmad Thorikul Huda Adha Putra, Chairunas Ahmad Basuki Al Islami, M Tafaquh Fiddin Ali Ridho Barakbah Alimudin, Akhmad Amang Sudarsono, Amang ANJANING KUSUMA MARPAUNG, DWI RATNA Arna Fariza Bima Sena Bayu Dewantara Brian Wasita Calvin Alfa Roji Dadet Pramadihanto David Fahmi Abdillah Dia Bitari Mei Yuana Dono Indarto Edelani, Renovita Endang Sulistyarini Gultom Farah Devi Isnanda Hasairirr, Ashar Herbert Sipahutar, Herbert Huda Panggabean, Nurul Idris Winarno Indah Yulia Prafitaning Tiyas, Indah Yulia Prafitaning Iqbal Sabilirrasyad Ira Prasetyaningrum Irene Erlyn Wina Rachmawan, Irene Erlyn Wina Irwansyah Irwansyah iwan Syarif Izza Nur Afifah Jamilatul Badriyah Kharismadhany, Ekky Kusuma, Dedy Hidayat Lestari, Sri Ratna Louis Nashih Uluwan Arif Maretha Ruswiansari, Maretha Maysarah, Maysarah Miko, Taufan Radias Mirza Ghulam Rifqi Mirza Ghulam Rifqi Moch. Rochmad Mohammad Nur Shodiq Mohammad Nur Shodiq Mohammad Nur Shodiq, Mohammad Nur Mu'arifin, Mu'arifin Muarifin ., Muarifin Muarifin Muarifin Nailus Sa'ada nasution, Muhammad Yusuf Ningtiyas, Sri Kandi Atma Oktavia Citra Resmi Rachmawati Puspasari Susanti Renovita Edelani Riyanto Sigit Rizal Mukra Rohmah, Etik Ainun Roziqin, Mochammad Choirur Roziqin, Mochammad Choirur Rudi Kurniawan Sa'ada, Nailus Samsul Huda Samsul Huda Setiawardhana Setiawardhana Shafwan S. Pulungan, Ahmad Shiori Sasaki Sihaloho, Terry Williem Silfiana Nur Hamida Son Kuswadi Suci Rahmawati, Suci Suriwahyuni, Suriwahyuni Tessy Badriyah, Tessy Ulfa Nuzalifah, Yossie Wahjoe Tjatur S. Wahjoe Tjatur Sesulihatien Wahjoe Tjatur Sesulihatien Wahyu Widodo Widodo, Edi Wahyu Widya Arwita Wina Rachmawan, Irene Erlyn Wina Rachmawan, Irene Erlyn Wiratmoko Yuwono Yasushi Kiyoki