Directory of Scientific Journals Indonesian Society of Applied Science (ISAS)
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News Classification using Natural Language Processing with TF-IDF and Multinomial Naïve Bayes
Full text linkOnline news contains valuable insights into public phenomena that can support statistical analysis by institutions like BPS Riau. However, current methods of classifying news are manual, time-consuming, and prone to human error. This study proposes an automated news classification system using Natural Language Processing (NLP) techniques with Term Frequency–Inverse Document Frequency (TF-IDF) for feature extraction and the Multinomial Naïve Bayes algorithm for classification. The dataset was collected via web scraping and manually labeled across five statistical categories: poverty, unemployment, democracy, inflation, and economic growth. The system achieved a validation accuracy of 83%, a test accuracy of 90%, with an average precision of 0.85, recall of 0.93, and f1-score of 0.87. These results demonstrate that the proposed system can significantly reduce the manual workload of news classification and be practically implemented by BPS Riau to support accurate and timely statistical reporting
Analisis Penerapan Mutual Information pada Klasifikasi Status Studi Mahasiswa Menggunakan Naïve Bayes
Full text linkEarly identification of Student Study Status is essential for higher education institutions to implement proactive and strategic measures that facilitate timely completion of studies and mitigate dropout rates. This research intends to predict student study status with the Naïve Bayes method based on the features obtained from the implementation of Mutual Information. Feature selection through Mutual Information seeks to analyse the factors that most significantly impact the classification of student study status. The study status is categorized into three classes: dropout, enrolled, and graduate, based on 36 factors. The Mutual Information approach is employed to diminish data dimensions by discarding less relevant features while preserving critical information based on score values to achieve enhanced predictive accuracy. The selection of appropriate attributes enables the model to maintain simplicity while incorporating critical information aspects that significantly impact performance. Experiments were performed on a dataset comprising student academic variables, with data partitioning ratios of 80:20, 70:30, and 50:50 for training and testing datasets. The classification outcomes utilizing Naïve Bayes, without the use of Mutual Information across the three testing ratios, exhibited the accuracy of 68.29% in the 70:30 data split. Simultaneously, the classification outcomes utilizing Mutual Information across three test ratios are as follows: 71.64% accuracy at an 80:20 ratio with 10 selected attributes, 72.06% at a 70:30 ratio with 10 selected attributes, and the highest accuracy of 72.65% at a 50:50 ratio using 15 attributes. The utilization of the Naïve Bayes method for classifying student study status demonstrates enhanced accuracy when integrated with Mutual Information for feature selection. The findings of this study demonstrate that Mutual Information can streamline data by considering the quantity of attribute selections according to the ranking of their score values
Nilai CBR Tanah Ekspansif Setelah di Stabilisasi Kapur Terhadap Sifat Filtrasi Tanah
Full text linkPenelitian ini dilakukan dengan memanfaatkan sifat filtrasi tanah, sehingga stabilisasi dilakukan hanya pada area tanah tertentu dan dilakukan pengamatan pengaruhnya terhadap area sekitar tanah yang distabilisasi. Stabilisasi menggunakan bahan stabilisatior kapur. Prosentase kapur yang digunakan sebesar 8% dari berat tanah. Pengamatan pengaruh tanah di sekitar area stabilisasi dilakukan pada arah horizontal dan arah vertikal. Metode penelitian dengan memodelkan tanah dalam skala laboratorium, yaitu dengan membuat kotak triplek yang berukuran, panjang 1m, lebar 50 cm, tinggi 100 cm. Tanah yang distabilisasi pada area tengah dengan menggunakan kapur 8%, kemudian tanah diuji CBR. Pengujian CBR pada arah horizontal, mengalami peningkatan nilai CBR dibandingkan tanah asli dengan nilai 18,559% menjadi 29,610% dari rata-rata jarak 20 cm hari ke 1 dengan presentase kenaikan 59,2% sedangkan pada jarak 40cm mendapatkan nilai dari rata-rata 30,29%. Pengujian CBR arah vertikal, mengalami peningkatan nilai CBR dari tanah asli. Nilai CBR tanah asli sebesar 18.559%, mengalami kenaikan menjadi 29,610% pada area yang distabilisasi. Pada area jarak 20cm dari area stabilisasi, dengan masa peram hari ke 1 nilai CBR rata-rata sebesar 59,2% sedangkan pada jarak 40cm dengan masa peram hari ke 1 nilai rata-rata CBR yang diperoleh adalah 62,86%. Dari hasil pengujian, dapat disimpulkan bahwa tanah yang berada di sekitar tanah stabilisasi mengalami kenaikan nilai CBR dan semakin lama masa peram semakin meningkatkan nilai CBR
Analisis Peningkatan Integrasi Antarmoda di Stasiun Tawang Semarang
Full text linkAktivitas Kota Semarang sebagai pusat kegiatan ekonomi, industri, jasa, dan pendidikan serta mengalami peningkatan signifikan dalam hal transportasi. Penggunaan transportasi masyarakat Kota Semarang sebanyak 58% masih menggunakan kendaraan bermotor roda dua dalam beraktivitas sehari-hari, untuk penggunakan kendaraan mobil juga sebanyak 22% dari seluruh total Masyarakat Kota Semarang. Sedangkan hanya terdapat 20% masyarakat yang masih menggunakan angkutan umum dalam mobilitas sehari-hari. Stasiun Tawang Semarang dapat menjadi salah satu upaya yang dapat meningkatkan penggunaan angkutan umum yang dilakukan dengan cara melakukan integrasi pemberhentian angkutan umum di area kawasan stasiun. Tujuan penelitian ini untuk mengetahui kinerja fasilitas integrasi antarmoda dan menentukan rekomendasi peningkatan fasilitas dari integrasi antarmoda di Stasiun Tawang Semarang. Penelitian ini menggunakan metode modal interaction matrix dan developing acces priority. Data penelitian diperoleh dari penyebaran kuisioner pada penumpang kereta Stasiun Tawang Semarang. Hasil dari penelitian menunjukan bahwa kinerja Stasiun Tawang Semarang berdasarkan metode modal interaction matrix dengan hasil -185 atau dapat dikatakan masih buruk. Menurut metode developing acces priotirty beberapa fasilitas yang dianggap penting menurut penumpang stasiun diantaranya yaitu fasilitas pejalan kaki, fasilitas penunjang moda dan informasi moda. Maka dari itu diperlukan rekomendasi berupa peningkatan fasilitas moda seperti peningkatan fasilitas pejalan kaki, fasilitas parkir kendaraan pribadi dan fasilitas pangkalan atau halte moda angkutan umum. Selain itu dilakukan relokasi fasilitas moda dan juga penambahan informasi moda
Studi Karakteristik Kuat Tekan Beton Geopolimer Berbahan Dasar Abu Sekam Padi
Full text linkGeopolymer concrete is an environmentally friendly alternative to conventional concrete because it has the potential to reduce carbon emissions. Rice husk ash, an agricultural waste, serves as a source of silica and alumina in the geopolymerization process. This study aims to determine the compressive strength value of geopolymer concrete in each variation and the use of alkali activator ratios between Na2SiO3 and NaOH with ratios of 1:2, 2:2, and 3:2. In the study of the compressive strength characteristics of engineering concrete, the experimental method was used. Based on the study of the compressive strength characteristics of geopolymer concrete made from rice husk ash, normal concrete at the age of 28 days has a compressive strength of 368 kg/cm2, while in the 1st geopolymer concrete at the age of 28 days, a compressive strength of 349 kg/cm2 is obtained. This shows that the compressive strength of the 1st geopolymer concrete has decreased by 5% from normal concrete, in the 2nd geopolymer concrete at the age of 28 days, a compressive strength value of 475 kg/cm2 was obtained, which means that the compressive strength of the 2nd geopolymer concrete has increased by 29% from the compressive strength of normal concrete. This study identified the optimal compressive strength of geopolymer concrete, specifically noting that the second geopolymer concrete reached a value of 475 kg/cm².Beton geopolimer menjadikan alternatif ramah lingkungan bagi beton konvensional karena memiliki potensi untuk mengurangi emisi karbon. Abu sekam padi yang merupakan limbah pertanian, digunakan sebagai sumber silika dan alumina dalam proses geopolimerisasi. Studi ini bertujuan untuk mengetahui berapa nilai kuat tekan beton geopolimer pada masing-masing variasi serta pengunaan rasio alkali aktivator antara Na2SiO3 dan NaOH dengan perbandingan 1:2, 2:2, dan 3:2. Pada studi karateristik kuat tekan beton teknik yang digunakan dengan metode eksperimen. Hasil studi karakteristik kuat tekan beton geopolimer berbahan dasar abu sekam padi menghasilkan beton normal pada umur 28 hari memiliki kuat tekan sebesar 368 kg/cm2, sedangkan pada beton geopolimer ke-1 di umur 28 hari didapatkan kuat tekan senilai 349 kg/cm2 hal ini menunjukan bahwa kuat tekan beton geopolimer ke-1 mengalami penurunan 5% dari beton normal, pada beton geopolimer ke-2 di umur 28 hari diperoleh nilai kuat tekan sebesar 475 kg/cm2 yang arti nya kuat tekan beton geopolimer ke-2 mengalami kenaikan sebesar 29% dari kuat tekan beton normal. Hal ini menunjukkan studi karakteristik pada nilai kuat tekan beton geopolimer yang paling optimal yaitu beton geopolimer ke-2 dengan sebesar 475 kg/cm2
Analisisi Penelitian Performansi Pompa Air Pada Divisi Persemaian Di Kalimantan Timur
Full text linkThe engine pump is used to move fluids by converting mechanical energy into fluid energy and pressure, then transporting the fluid through the piping system. The use of pumps to meet clean water needs. The method with the working principle or how the pump flows fluids or provides fluid power, the results of the study show that the pump capacity with a water discharge of 15 L / m, the total head is 4.807 m, and after knowing the curve where there is an increase in pressure at the outlet (discharge pressure) there will be a decrease in the amount of flow and the higher the amount of flow that comes out, the higher the pressure capacity of the fluid. In the demin water transfer pump, it is known that the available NPSH (6.7 meters) is greater than the required NPSH (6.2 meters), so the pump can. So to fill the water reservoir at the Permanent Nursery Service, the pump operates for 8.5 hours per day. Data analysis and discussion can be concluded that the pump capacity with a water discharge of 15 L/m, the total head is 4.807 m, In the demin water transfer pump it is known that the available NPSH (6.7 meters) is greater than the required NPSH (6.2 meters), so the pump can work without experiencing cavitation. So to meet the needs of the water reservoir in the Permanent Nursery Division, the pump operates for 8-5 hours per day
OPTIMIZATION OF INJECTION MOLDING PARAMETERS IN MOLD SM20 USING THE TAGUCHI-GREY RELATIONAL ANALYSIS (GRA) METHOD FOR REDUCING SHORT-SHOT DEFECTS AND CYCLE TIME
Full text linkInjection molding has become a favorite technique of manufacturing high quality of specific plastic components. Nevertheless, typical flaws like short-shot flaws and long cycle times may jeopardize the quality of a product and decrease the productivity. This project is aimed at the optimization of three major process parameters; that is, the nozzle temperature, injection pressure, and injection time, which will be the three set at four levels to achieve an improvement in the performance of Mold SM20. The Taguchi experimental design used is an L16 orthogonal array and this makes the experimental design to be successfully reducing the number of trial required. As part of dealing with the two-fold goals of QED reduction and cycle time, Grey Relational Analysis (GRA) would be used in multi-response optimization. Gra means normalization, calculating of grey relational coefficients and the calculation of grey relational grades (GRG). The outcomes show that injection pressure can play an important role in combined response, whereas nozzle temperature and injection time present a less important role. The best combination of parameters (temperature of the nozzle 225o C, injection pressure 55 bar and injection time 2.0 sec) gave the best value of GRG, 0.841278 which indicates better performance of the process, both quality-wise as well as efficiency-wise
Pengembangan Website Harga Bapokting Real-time dengan Extreme Programming dan Integrasi API SILINDA
Full text linkThis study aims to implement the SILINDA API from the West Java Provincial Government on a prototype website to present real-time price data for Basic Necessities and Important Goods (Bapokting) in Garut Regency. This addresses the problem of reporting delays and potential data inaccuracies that arise from the manual process of reporting via WhatsApp and weekly recapitulation using Microsoft Excel. The system was developed using the Extreme Programming (XP) methodology, which includes the stages of planning, design, coding, and testing. System design utilizes Unified Modeling Language (UML), specifically use case and class diagrams. The implementation uses JavaScript with the React.js library for the frontend and Node.js with the Express.js framework for the backend. The result of this research is a website prototype that is synchronized with the SILINDA API to perform automatic price updates. System testing included unit testing with a black-box approach and acceptance testing using the System Usability Scale (SUS) method, which yielded an average score of 83, categorized as Grade A (Excellent) with an "Acceptable" level of acceptance. This research contributes a system that replaces the manual reporting process with a website synchronized with SILINDA, providing real-time data for the Disperindag ESDM, Garut Satu Data, and the general public. It also demonstrates the effectiveness of the XP method in building an adaptive system that is relevant to user needs
Sistem Monitoring Listrik Tiga Phasa Berbasis Panel LED P10
Full text linkAbstract
The increasing demand for electricity consumption monitoring in various sectors, including educational environments, requires an accurate, efficient, and real-time monitoring system. This study aims to design and develop a three-phase electricity monitoring system using a P10 LED Matrix panel controlled by an Arduino Mega microcontroller. The system is designed to display voltage, current, and frequency parameters directly through the LED panel, replacing conventional LCD displays with limited size and visibility. The design methodology includes problem identification, data collection through literature study and observation, hardware and software design, assembly, and system testing. The main components consist of three PZEM-004T sensors for electrical data acquisition, an Arduino Mega ATmega2560 as the processing unit, and three P10 LED Matrix panels as the visualization medium. Testing results show that the system can display real-time data with high accuracy. The average voltage measurement error was 0.0013%, and the current measurement error was 0.057%, both well below the 0.5% tolerance specified by the sensor. This system has proven reliable for monitoring three-phase electrical loads at the Politeknik Negeri Ketapang Laboratory Building. In conclusion, the developed system can enhance electricity monitoring efficiency, facilitate electrical condition analysis, and has the potential for further development by integrating Internet of Things (IoT) technology for remote monitoring.
Keywords: Electrical monitoring system, three-phase, P10 LED panel, Arduino Mega, PZEM-004T.
 
Pengaruh Jenis Bahan Bakar Terhadap Emisi Gas Buang Injection Otto Engine System
Full text linkThe use of motorized vehicles currently experiences a very significant increase, this has an impact on increasing air pollution due to exhaust gas emissions from combustion. One of step to minimize the level of air pollution due to exhaust emissions is to choose the right fuel, so that the combustion in the combustion chamber is perfect. Based on this, a problem was formulated related to the influence of fuel’s type on exhaust gas emission values in vehicles with injection otto engine system technology. The research object is the 2017 Toyota Sienta 1.5 G M/T car using electronic fuel injection. The types of fuel used in this research are Pertalite, Pertamax, and Pertamax Turbo. The Test results from the use of Pertalite, Pertamax and Pertamax Turbo fuel types show that the exhaust gas emission values for CO, HC and CO2 content will decrease when the engine speed is higher. The best type of fuel from the test results is Pertamax Turbo RON 98, because almost all test results for CO, HC and CO2 content at various types of engine speed show the lowest results. In accordance with the Minister of Environment Regulation No.06 of 2006 concerning Exhaust Gas Emission Thresholds for Old Motor Vehicles, the vehicle tested was declared to have passed the exhaust emission test. Minister of Environment Regulation, 2006 determines the maximum threshold values for CO = 1.5% and HC = 200 ppm.Pemakaian kendaraan bermotor saat ini mengalami peningkatan yang sangat signifikan, hal ini berdampak pada meningkatnya pencemaran udara akibat emisi gas buang sisa hasil pembakaran. Salah satu langkah untuk meminimalisir tingkat pencemaran udara akibat emisi gas buang adalah dengan pemilihan bahan bakar yang tepat, sehingga pembakaran di dalam ruang bakar menjadi sempurna. Berdasarkan hal tersebut maka dirumuskan permasalahan terkait pengaruh jenis bahan bakar terhadap nilai emisi gas buang pada kendaraan berteknologi injection otto engine system. Obyek penelitian yaitu mobil Toyota Sienta 1.5 G M/T tahun pembuatan 2017 dengan menggunakan electronic fuel injection. Jenis bahan bakar yang digunakan dalam penelian ini yaitu Pertalite, Pertamax, dan Pertamax Turbo. Hasil pengujian dari pemakaian jenis bahan bakar Pertalite, Pertamax, dan Pertamax Turbo menunjukkan bahwa dari ketiganya didapat nilai emisi gas buang baik kandungan CO, HC dan CO2 akan mengalami penurunan saat putaran engine semakin tinggi. Jenis bahan bakar terbaik dari hasil pengujian adalah Pertamax Turbo RON 98, karena hampir pada semua hasil uji kandunan CO, HC, dan CO2 di berbagai jenis putaran engine menunjukkan hasil yang paling rendah. Sesuai dengan Peraturan Menteri Negara Lingkungan Hidup No.06 Tahun 2006 tentang Ambang Batas Emisi Gas Buang Kendaraan Bermotor Lama, maka kendaraan yang diuji ini dinyatakan lulus uji emisi gas buang. Peraturan Menteri Negara Lingkungan Hidup, 2006 menentukan nilai ambang batas maksimal CO = 1,5 % dan HC = 200 ppm