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All Journal Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Scientia Jurnal Teknologi Transportasi dan Logistik Jurnal Penelitian Sekolah Tinggi Transportasi Darat The Indonesian Journal of Computer Science Research SmartComp Kanigara
Langgeng Asmoro
Tegal Road Transport Safety Polytechnic, Indonesia
Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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LEARNING MEDIA GRAPHICAL USER INTERFACE (GUI) BASED NUMBER BASE CONVERSION CALCULATOR Srianto Srianto; Helmi Wibowo; Langgeng Asmoro
Jurnal Scientia Vol. 12 No. 01 (2023): Education, Sosial science and Planning technique
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v12i01.1186

Abstract

An understanding of the number base is needed to better understand computer work systems, one of which is the microprocessor contained in the APILL microcontroller control system. This study aims to determine the learning media for number base conversion calculators based on graphical user interface (GUI). In this study, the research location will be used in the development of number base conversion calculator learning media based on a graphical user interface at the Road Transportation Safety Polytechnic and will be tested at Wahidin Vocational School, Cirebon City. The research method used in this study uses Research and Development (R&D) research. The results of this study state that the calculator which includes 12 number base conversions is made using the Graphical User Interface (GUI) programming in the Matlab program with concise algorithms and script code and a user friendly display. And the results of conversions carried out by students manually, with the help of scientific calculators and number base conversion calculators are very significant, namely each of them gets an average value of 28.33 for manual, 48.33 with the help of a scientific calculator and 91.67 with a calculator number base conversion.
REMEDIATION OF PHYSICS LEARNING TO REDUCE MISCONCEPTIONS OF GAS KINETIC THEORY MATERIAL BY USING THINK PAIR SHARE LEARNING SADDLES AT ROAD TRANSPORTATION SAFETY POLYTECHNIC CADETS Langgeng Asmoro
Jurnal Scientia Vol. 12 No. 02 (2023): Education, Sosial science and Planning technique, edition March-May 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v12i02.1365

Abstract

This study aims to determine whether the Think Pair Share method can reduce misconceptions in the Gas Kinetic Theory material and to determine the misconception profile of cadets of the Automotive Engineering Technology Study Program, Tegal Road Transportation Safety Polytechnic. The subjects in this study were cadets of the Automotive Engineering Technology Study Program, Tegal Road Transportation Safety Polytechnic, batch 9 Class A. The selection of this subject used a random sampling technique by assuming cadets had the same conditions and levels of misconceptions, this is. This is from the results of odd semester exams where the average grade score was almost the same for all grade 9 classes in Physics. This type of research is a pre-experimental design with a One Group Pret-Test-Post-Test design. Data was collected through interviews and test techniques in the form of diagnostic tests conducted before and after remediation learning. The source of data is obtained from the results of the Taruna. Data analysis was carried out quantitatively, including reducing the percentage of misconceptions of cadets and their misconception profiles. The results showed that remediation using the Think Pair Share method can reduce cadet misconceptions. The decrease in the percentage of misconceptions of cadets varies for each sub-material; in the sub-material, the properties of ideal gas misconceptions decreased by 44%. Decreased misconceptions in the sub-meter of the Ideal Gas Laws by 41%. Misconceptions in the sub-material of Gas Kinetic Theory decreased by 30%. Decrease in misconceptions in the energy equipartition submitted by 38%.
Pengembangan pemodelan fisika dalam meningkatkan motivasi belajar taruna di lingkungan sekolah kementerian perhubungan berbantuan software Modellus Langgeng Asmoro; Srianto Srianto; Faris Humami
Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Vol 14, No 2 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bfi-jifpa.v14i2.25378

Abstract

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Analysis of Soet Emissions using Diesel - Methanol (CH3OH) Mixture on L-300 Vehicles Langgeng Asmoro; Reza Yoga Anindita; Aris Budi Sulistyo; Rahmat Ahmad
Jurnal Teknologi Transportasi dan Logistik Vol. 4 No. 1 (2023): Juni 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Poltrada Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52920/jttl.v4i1.144

Abstract

In this research, it is intended to identify the concentration of soot in the exhaust emissions of the L-300 diesel engine by adding an additional substance in the form of methanol CH3OH. The research method in this study used an experimental method with the help of a smoke tester used to test the soot concentration in exhaust emissions of diesel motorized vehicles. The experiment was carried out at night using different mixtures and where each mixture will be carried out 8 times to collect data. Experiments used a smoke tester to test soot emissions on: fuel not mixed with methanol additive (M0D100), 5% methanol mixture (M5D95), 10% methanol (M10D90), 15% methanol mixture (M15D85). After carrying out the research and data processing, it was obtained that the M0D100 mixture had a soot emission concentration of 36.52%. The M5D95 mixture decreased the concentration of exhaust emissions to 31.05%. Then in the M10D90 mixture, the soot emission concentration decreased to 27.17%. whereas in the M15D85 mixture the soot concentration increased to 33.76%.
PELATIHAN PEMBUATAN LAB VIRTUAL FISIKA MENGGUNAKAN SOFTWARE MODELLUS UNTUK GURU SMA/SMK DI KOTA TEGAL DAN SEKITARNYA Langgeng Asmoro; Muhammad Rifqi Tsani; Frans Tohom
Kanigara Vol 3 No 1 (2023): Kanigara
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/kanigara.v3i1.6118

Abstract

The development of technology and information is growing very fast. Learning Physics is a science that refers to natural phenomena. Physics in the delivery of material in class is done by using lectures, demos, and practicum methods in the laboratory. Many physics teachers are not optimal in utilizing technology. In this activity the author tries to contribute to guiding high school teachers in Tegal City in making a simulation-based virtual laboratory using the help of modellus software. In this activity, teachers are expected to understand how to create and develop a simulation-based virtual laboratory with the help of modellus software. Community Service Activities (PKM) are carried out online or distance learning in order to prevent the transmission of COVID-19. In general, participants rated the activity as 5% Fair, 75% Good and 20% Very Good
Peningkatan Kompetensi Keselamatan Berlalu Lintas di SMK Bhakti Praja Adiwerna Tsani, Mokhammad Rifqi; Asmoro, Langgeng; Hakim, M. Iman Nur; Humami, Faris; Paradana, Barasie
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 4 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i4.4544

Abstract

Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk memberikan siswa SMK Bhakti Paraja Adiwerna materi keselamatan lalu lintas dan marka rambu lalu lintas. Pada saat ini banyak anak usia sekolah kurang mengetahui aturan lalu lintas. Menurut Lembaga Keselamatan Jalan Dunia  banyak terjadi kecelakaan setiap jam yang dialami anak usia sekolah. Berdasarkan hal tersebut tujuan diadakan pengabdian tersebut agar siswa SMK bisa lebih memahami rambu dan aturan lalu lintas sehingga bias terhindar dari kecelakaan. Metode pelaksanaan dilakukan dalam empat tahap. Koordinasi adalah tahap pertama, pre-test adalah tahap kedua, materi dan diskusi adalah tahap ketiga, dan evaluasi adalah tahap keempat setelah evaluasi. Dari hasil evaluasi diketahui bahwa diperoleh hasil nilai rata-rata 88 dari 30 siswa peserta sosialisasi dengan nilai 100 tertinggi dan 70 terendah. Tanggapan dari peserta sosialisasi adalah setelah mengikuti sosialisasi mereka jadi mengetahui aturan dasar dalam berkendara sesuai dengan undang-undang lalu lintas nomor 22 tahun 2009. Selama kegiatan, peserta tetap semangat dan mendengarkan apa yang disampaikan oleh tim pengabdian.
ANALISIS SENTIMEN REVIEW TRANSPORTASI MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE BERBASIS CHI SQUARE Tsani, Mokhammad Rifqi; Rupaka, Anggun Prima Gilang; Asmoro, Langgeng; Pradana, Brasie
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 9, No 1 (2020): Smart Comp :Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v9i1.1817

Abstract

Analisis sentimen merupakan teknik yang bertujuan menentukan opini dari masyarakat bersifat positif atau negatif. Internet merupakan bagian terpenting dalam kehidupan sehari- hari. Banyak situs yang menyediakan berbagai macam review tentang suatu produk atau jasa yang menggambarkan pendapat pengguna. Salah satu contohnya adalah situs internet Yelp. Yelp adalah sebuah situs yang berisi berbagai macam review, seperti transportasi, media massa, restoran, hotel, makanan, elektronik dan lain sebagainya. Transportasi memiliki peran yang sangat penting dalam menunjang pertumbuhan ekonomi masyarakat dan merupakan urat nadi dalam pembangunan ekonomi suatu negara. Oleh karena itu keberhasilan pembangunan dibidang ekonomi harus ditunjang dengan pengembangan sistim transportasi yang baik, sesuai dengan kebutuhan dan perkembangan zaman. Pengguna transportasi bisa memberikan pendapat mereka mengenai kualitas dari transportasi yang sudah tersedia secara online. Jika membaca review tersebut secara keseluruhan bisa memakan waktu dan sebaliknya jika hanya sedikit review yang dibaca, hasil evaluasi akan bias. Algoritma klasifikasi sentimen review seperti support vector machine (SVM) adalah algoritma yang sering digunakan untuk klasifikasi analisis sentimen review. Namun klasifikasi sentimen review mempunyai kelemahan pada banyaknya fitur atau atribut dataset yang digunakan, metode seleksi fitur chi square dapat digunakan untuk mengurangi fitur atau atribut yang tidak relevan.Kata kunci : analisis sentimen, review transportasi, klasifikasi, chi Square.
Advances in Driver Monitoring: A Review of Liveness Detection Techniques SHOFIAH, SITI; Suartika, I Made; Hakim, M. Iman Nur; Humami, Faris; Hidayat, Dwi Wahyu; Asmoro, Langgeng
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 15 No 2 (2024): December 2024
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v15i2.686

Abstract

Driver fatigue significantly contributed to traffic accidents, especially in countries with complex road characteristics like Indonesia. The research emphasized the importance of raising public awareness, developing improved detection technologies, and enforcing strict regulations. Various methods, including computer vision and physiological monitoring, were evaluated to detect driver fatigue and enhance safety through early warnings and advanced detection systems in vehicles. A systematic literature review (SLR) analyzed recent advancements, identified relevant articles, and synthesized findings to highlight current trends, gaps, and potential improvements in driver fatigue detection technology. The study found that driver monitoring systems had played a significant role in reducing traffic accidents, highlighting the importance of enhancing public awareness, advancing monitoring technologies, and enforcing strict regulations. Various methods, including computer vision and physiological monitoring, had been evaluated for their effectiveness in monitoring drivers and improving safety through early warnings and advanced detection systems in vehicles. The SLR identified current trends, gaps, and potential improvements in driver monitoring technology. Future research needed to focus on integrating various evaluation metrics, enhancing physiological monitoring techniques, optimizing overall system performance, and improving user experience. Additionally, interdisciplinary approaches and real-time data analysis and integration with existing vehicle systems were required to create more effective, efficient, and reliable driver monitoring systems, ultimately enhancing driving safety.
ARTIFICIAL INTELLIGENCE PREDIKSI DIAGNOSA KERUSAKAN MOBIL DENGAN METODE NAIVE BAYES BERBASIS WEBSITE Mokhammad Rifqi Tsani; Brasie Pradana; Langgeng Asmoro
The Indonesian Journal of Computer Science Research Vol. 3 No. 1 (2024): Januari
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v3i1.97

Abstract

Banyak pakar di bidang ilmu komputer berfokus dalam pengembangan kecerdasan buatan (AI), juga dikenal sebagai artificial intelligence (AI). AI adalah bidang studi yang bertujuan untuk membuat komputer bertindak dan berpikir seperti manusia. Banyak implementasi AI dalam bidang komputer, misalnya Decision Support System (Sistem Penunjang Keputusan), Robotic, Natural Language (Bahasa Alami), Neural Network (Jaringan Saraf), dan lain-lain. Seperti bidang otomotif yang sangat membutuhkan konsultasi perbaikan mobil yang cepat untuk mendeteksi dan menangani kerusakan, Salah satu bidang AI yang paling menarik adalah sistem pakar. Karena masalah ini, diperlukan suatu sistem yang dapat mengatasi masalah di atas. Dengan menggunakan Algoritma Naive Bayes pada sistem AI, hasil diagnose AI ini diharapkan akan sangat membantu pemilik mobil. Penelitian ini menerapkan metode penelitian waterfall SDLC (Software Development Life Cycle). Bahasa pemrograman Website dengan database MySQL digunakan untuk membuat aplikasinya. Aplikasi ini berfungsi untuk membantu sopir dan pengguna mobil mengidentifikasi gejala kerusakan dini pada kendaraan mereka. Selain itu, aplikasi ini dapat digunakan sebagai alat untuk mengajar taruna PKTJ Tegal tentang keahlian otomotif
Pengembangan pemodelan fisika dalam meningkatkan motivasi belajar taruna di lingkungan sekolah kementerian perhubungan berbantuan software Modellus Langgeng Asmoro; Srianto Srianto; Faris Humami
Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Vol. 14 No. 2 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bfi-jifpa.v14i2.25378

Abstract

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Co-Authors Ahmad, Rahmat Aris Budi Sulistyo Brasie Pradana Dwi Wahyu Hidayat, Dwi Wahyu Faris Humami Frans Tohom Hakim, M. Iman Nur Helmi Wibowo Humami, Faris I Made Suartika Mokhammad Rifqi Tsani Muhammad Rifqi Tsani Paradana, Barasie Pradana, Brasie Reza Yoga Anindita Rupaka, Anggun Prima Gilang Siti Shofiah Srianto Srianto Srianto Srianto