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All Journal Jurnal Teknik Mesin JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Journal of Software Engineering, Information and Communication Technology Journal of Practical Computer Science (JPCS) Kohesi: Jurnal Sains dan Teknologi
Iqbal Tawakal, Iqbal
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Other

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UJI EKSPERIMEN KINERJA MODEL TURBIN ANGIN JENIS SWIRLING SAVONIUS DEFLEKTOR DIAM DENGAN PENAMBAHAN FREE DRAG REDUCING DI TEROWONGAN ANGIN TAWAKAL, IQBAL; HERLAMBA SIREGAR, INDRA
Jurnal Teknik Mesin Vol 8, No 1 (2020)
Publisher : Jurnal Teknik Mesin

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

Abstract

AbstrakSecara umum dalam penggunaan/konsumsi energi di Indonesia masih mengandalkan dan bergantung pada sumber energi minyak bumi. Suatu kondisi bahwa, perkembangan teknologi menunjukan bahwa hampir seluruh peralatan rumah tangga, dan peralatan lainnya masih menggunakan energi listrik yang semua tersebut bergantung pada bahan bakar minyak. Di Indonesia salah satu sumber energi terbarukan yang dapat dimanfaatkan adalah energi angin. Turbin angin savonius mengkonversikan energi angin menjadi energi mekanis dalam bentuk gaya dorong (drag force). Untuk meningkatkan efisiensi turbin ini dapat menambahkan deflektor atau pengarah angin, dan memodifikasi bilah turbin dengan penambahan overlap pada bilah yang menyebabkan tumpang tindih. Pada penelitian ini lebih memfokuskan pada variasi jumlah deflektor dengan sudut sebesar 45? dari datangnya arah angin. Dengan adanya penambahan deflektor ini dapat berpengaruh besar terhadap daya dan koefisiensi turbin angin, karena angin yang datang langsung di arahkan ke turbin angin. Model dalam penelitian ini berupa turbin angin Swirling Savonius. Penelitian ini dilakukan menggunakan deflektor diam pada turbin angin swirling savonius dengan penambahan Free Drag Reducing. Variasi jumlah deflektor yang digunakan disini sebanyak 12, 14, 16 dan 18 buah. Dengan sudut deflektor 45? yang diukur dari datangnya arah angin, dan 3 lubang Free Drag Reducing.Hasil dari penelitian menunjukan bahwa daya terbaik diperoleh pada variasi deflektor diam 12 bilah dengan daya sebesar 2.72875 watt dengan beban 2400 gram. Untuk CP terbaik diperoleh pada variasi deflektor diam 12 bilah dengan CP sebesar 24.9986768% dengan beban 2400 gram. Untuk karakteristik jumlah CDP dan CLP total antara sisi advancing dan returning bilah didapatkan pada variasi deflektor 12 sebesar 1.074 dengan total CDP 3.116 dan CLP 2.042. Variasi tanpa deflektor didapatkan sebesar -2.265 dengan total CDP 0.530 dan CLP 2.795. Variasi deflektor 14 didapatkan sebesar -1.111 dengan total CDP 1.333 dan CLP 2.445. Variasi deflektor 16 didapatkan sebesar -1.872 dengan total CDP 1.668 dan CLP 3.540. Variasi deflektor 18 didapatkan sebesar -2.065 dengan total CDP -1.141 dan CLP 0.924. Kata kunci: Swirling savonius, vertical, deflektor , free drag reducingAbstract In general, energy usage / consumption in Indonesia still relies on and depends on petroleum energy sources. This condition refers to technological developments show that almost all household appliances, and other equipment still use electrical energy which all depend on fuel oil. In Indonesia, one of the renewable energy sources that could be utilized is wind energy. Savonius wind turbines convert wind energy into mechanical energy in the form of drag force. To increase the efficiency of this turbine, It could be added a deflector or wind direction, and modify the turbine blades by adding overlap to the blades that cause overlap. This research focuses more on variations in the number of deflectors with an angle of 45 ? from the coming wind direction. By the addition of this deflector can greatly affect the power and coefficient of wind turbines, because the wind that comes directly directed to the wind turbine. The model in this study is the Savonius Swirling wind turbine. This research was conducted using a silent deflector on a swirling savonius wind turbine with the addition of Free Drag Reducing. There are 12, 14, 16 and 18 variations in the number of deflectors used. With a 45 def deflector angle measured from the coming wind direction, and 3 Free Drag Reducing holes. The results of the study showed that the best power was obtained in the variation of the 12 blades silent deflector with a power of 2,72875 watts with a load of 2400 grams. The best CP is obtained in the variation of 12 blades silent deflector with CP 24.9986768% with 2400 gram load. For the characteristics of the total number of CDP and CLP between the advancing and returning slats, the variation of deflector 12 is 1,074 with a total CDP of 3,116 and CLP 2,042. Variations without deflectors were obtained for -2,265 with a total CDP of 0.530 and CLP of 2795. The variation of deflector 14 was obtained for -1.111 with a total CDP of 1.333 and CLP of 2,445. The variation of deflector 16 is -1,872 with a total CDP of 1,668 and CLP 3,540. The variation of deflector 18 is obtained by -2.065 with a total CDP of -1.141 and CLP of 0.924. Keywords: Swirling savonius, vertical, deflector, free drag reducing
Design and Implementation of REST API for Predicting the Recitation of the Qur'an using Machine Learning Santosa, Krisna; Rofifah, Rifdah Hansya; Riani, Alfia April; Syawanodya, Indira; Tawakal, Iqbal
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 1: June 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i1.70600

Abstract

The Qur'an is the Muslim holy book, consisting of 30 juz and 114 surahs of varying length and number of verses. Reading the Qur'an involves special techniques to understand and read with similarity or consistency to the verse being read. In the digital era, technology enables the development of applications that support the learning and analysis of Qur'anic recitation. This research aims to design and implement a REST API to predict Qur'an recitation using a machine learning (ML) model. This API accepts voice recordings from users and provides output in the form of an assessment of the similarity of their recitation to the desired verse. Using FastAPI and pre-trained models such as Wav2Vec2, the system can translate audio into text with fairly good accuracy. Experimental results show a word error rate (WER) of 30%, which indicates the need for further improvement but is sufficient in the experimental context. The technology is useful as a self-learning tool for the Qur'an, but it does not replace the role of the teacher. Future research should focus on improving model accuracy and integrating more user-friendly features. 
KONTROL LEVEL AIR PADA TANGKI UNTUK MESIN PEMBUATAN SABUN CUCI PIRING CAIR DENGAN METODE PID Tawakal, Iqbal; Budhy Setiawan; Beauty Anggraheny Ikawanty
Kohesi: Jurnal Sains dan Teknologi Vol. 4 No. 2 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v4i2.4810

Abstract

Abstrak Kemajuan industri saat ini, diiringi dengan kebutuhan konsumen terhadap kualitas produk yang memuaskan. Sabun cair merupakan salah satu kebutuhan pokok masyarakat karena pemakaiannya yang praktis dan sederhana. Mesin pembuatan sabun cair berguna untuk memproduksi sabun cair cuci piring dalam skala besar. Sabun cuci piring cair mengandung texaphone, sodium sulfat, natrium klorida, pewarna, pewangi, dan air. Mesin pembuat sabun cair terdiri atas beberapa tahapan proses pencampuran bahan sampai menjadi produk siap pakai. Tahap awal dari mesin pembuat sabun cair yaitu pengisian air dalam tangki. Pengisian air dalam tangki membutuhkan campur tangan rangkaian elektronika seperti pengontrolan level air menggunakan sensor ultrasonic, PID. Penelitian ini menciptakan mesin pembuatan sabun cuci piring cair menggunakan sensor ultrasonik sebagai pendeteksi debit level air dengan metode PID. Hasil dari penelitian diperoleh bahwa dimensi keseluruhan mesin sebesar 120 cm x 70,8 cm, dan 175 cm dengan kondisi LCD berjalan dengan baik. Sensor ultrasonik di dalamnya memiliki nilai error sebesar 1,4% dan akan menurun seiring bertambahnya debit air. Komponen servo valve diketahui dapat menutup sempurna saat tangki terisi sebanyak 19 liter air, sehingga secara keseluruhan sistem mesin dapat berjalan dengan baik. Kata kunci: mesin pembuat sabun cair; PID; sensor ultrasonik Abstract Industrial advancements today are accompanied by consumer demand for satisfying product quality. Liquid soap is considered a fundamental necessity due to its practical and straightforward usage. A liquid soap-making machine serves to produce large-scale dishwashing liquid. Dishwashing liquid contains texaphone, sodium sulfate, sodium chloride, dyes, fragrances, and water. The liquid soap-making machine involves several stages of mixing ingredients to create a finished product. The initial stage of the liquid soap-making machine involves filling the tank with water. This process requires a blend of manual and electronic components such as water level control using ultrasonic sensors and PID. This study develops a dishwashing liquid-making machine using an ultrasonic sensor for detecting water level flow with PID methodology. The research findings indicate that the overall dimensions of the machine are 120 cm x 70.8 cm x 175 cm, and the LCD operates effectively. The ultrasonic sensor shows a 1.4% error rate, decreasing with increasing water flow. The servo valve component effectively closes when the tank reaches a 19-liter water capacity, ensuring smooth operation of the entire system. Keywords: liquid soap making machine, PID, ultrasonic sensor
Comparison Towards Different Methods of Software Debugging Tajimalela, Akwan Cakra; Suryahadi, Ramandha Putra; Alfadilla, Rizka; Syawanodya, Indira; Tawakal, Iqbal
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.70590

Abstract

To ensure that software works as expected, debugging is essential. This article discusses several types of debugging, focusing on Visual Studio Code Debugger, print statement debugging, and static code analysis. Each method is demonstrated through a simple yet comprehensive program that determines whether a selected number is a prime number. We conclude that the Visual Studio Code Debugger offers powerful features but requires prior experience with Visual Studio Code. Print statement debugging is straightforward but can become cumbersome in more complex programs. Static code analysis, particularly with ESLint, does not directly uncover "bugs" in the traditional sense but evaluates code style, security, and good programming practices. Combining these three methods can yield optimal results in the debugging and inspection process, depending on the specific needs and context of the project.
Penerapan Model Regresi Linear Untuk Memprediksi Overall Rating Kiper (GK) Dalam EA FC 25 Julianto, Faiza Muhammad; Tawakal, Iqbal; Mu'minin, Amirul; Anam, Misbakhul
Journal of Practical Computer Science Vol. 4 No. 2 (2024): November 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v4i2.6070

Abstract

Player performance prediction in digital soccer games is a growing research topic, especially in supporting data-driven evaluation. In this study, the Overall Rating (OVR) of Goalkeeper (GK) players in EA FC 25 game is predicted using Linear Regression model. The main objective of this study is to evaluate the model's ability to predict OVR based on goalkeeper-specific attributes. The methodology used includes data collection, pre-processing, feature selection, model building, and model performance evaluation using Root Mean Squared Error (RMSE), R-squared (R²), and Mean Absolute Error (MAE) metrics. The evaluation results show that the model has an R-squared value of 0.99, RMSE of 0.72 and MAE of 0.57, indicating that the model is able to provide predictions with low error and high accuracy. These findings suggest that linear regression is effective in modeling the relationship between goalkeeper attributes and Overall Rating scores in the context of EA FC 25 game
ANALISIS TINGKAT KEMISKINAN DENGAN ALGORITMA K-MEANS MENGGUNAKAN RAPIDMINER DI TINGKAT KOTA KABUPATEN DI JAWA TENGAH Tawakal, Iqbal; Effendi, M. Makmun; Majid, Annisa Maulana
Journal of Information System Management (JOISM) Vol. 7 No. 1 (2025): Juni
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2025v7i1.2084

Abstract

Permasalahan kemiskinan di Provinsi Jawa Tengah masih menjadi isu krusial yang membutuhkan penanganan berbasis data yang akurat dan terstruktur. Ketiadaan pemetaan yang tepat sering kali menyebabkan distribusi bantuan sosial tidak efektif dan tidak menyentuh kelompok masyarakat yang paling membutuhkan. Penelitian ini bertujuan untuk mengidentifikasi pola kemiskinan antar wilayah kota atau kabupaten di Jawa Tengah dengan memanfaatkan algoritma K-Means melalui platform RapidMiner. Analisis dilakukan terhadap data sekunder dari Badan Pusat Statistik periode 2020–2024, mencakup berbagai indikator seperti garis kemiskinan, persentase penduduk miskin, tingkat pengangguran, serta akses terhadap air bersih, sanitasi, dan bantuan sosial. Proses analisis mengikuti tahapan Knowledge Discovery in Databases, dari pemilihan data hingga evaluasi hasil. Penelitian ini menghasilkan lima kelompok kemiskinan dengan akurasi klaster tinggi berdasarkan nilai Davies-Bouldin Index sebesar 0,009. Hasil pengelompokan ini memberikan gambaran yang lebih objektif tentang distribusi kemiskinan di Jawa Tengah dan dapat dimanfaatkan sebagai dasar perumusan kebijakan yang lebih tepat sasaran dan efisien dalam upaya pengentasan kemiskinan.
Co-Authors Alfadilla, Rizka Anam, Misbakhul Beauty Anggraheny Ikawanty Effendi, M. Makmun INDIRA SYAWANODYA Indra Herlamba Siregar Julianto, Faiza Muhammad Majid, Annisa Maulana Mu'minin, Amirul Riani, Alfia April Rofifah, Rifdah Hansya Santosa, Krisna Setiawan, Budhy Suryahadi, Ramandha Putra Tajimalela, Akwan Cakra